Cleidocranial dysplasia (CCD) is an autosomal dominant skeletal dysplasia characterized by persistent open skull sutures whit bulging calvaria, hypoplasia or aplasia of clavicles permitting abnormal opposition of the shoulders, wide public symphysis, short middle phalanx of the fifth fingers and vertebral, craniofacial and dental anomalies. It is a rare disease, with a prevalence of 1-9/1,000,000, high penetrance, and variable expression. The responsible gene of CCD is the runt-related transcription factor 2 gene (RUNX2). We characterize the clinical, genetic and bioinformatic results of four CCD cases. Two Mexican familial with 6 affected members, 9 asymptomatic individuals, and two sporadic cases with CCD, as well as 100 healthy controls. Genomic DNA analyses of the RUNX2 gene was performed for Sanger sequencing. Bioinformatics tools, used to predict the function, stability, and structural changes of the mutated RUNX2 proteins. Three novel heterozygous mutations (c.651_652del; c.538_539delinsCA; c.662T>A) and a previously reported mutation (c.674G>A) were detected. In silico analysis showed that all mutations had functional, stability, and structural alterations in RUNX2 protein. Our results show novel mutations that enrich the pool of RUNX2 gene mutations with CCD. In addition, one patient presented clinical data not previously reported that could represent an expanded phenotype of sever expression.

Neuroendocrine prostate cancer (NEPC) is a highly aggressive subtype of prostate cancer (PC) that commonly emerges through a transdifferentiation process from prostate adenocarcinoma and evades conventional therapies. Extensive molecular research has revealed factors that drive lineage plasticity, uncovering novel therapeutic targets to be explored. A diverse array of targeting agents is currently under evaluation in pre-clinical and clinical studies with promising results in suppressing or reversing the neuroendocrine phenotype and inhibiting tumor growth and metastasis. This new knowledge has the potential to contribute to development of novel therapeutic approaches that may enhance clinical management and prognosis of this lethal disease.

Objectives: To assess the short-term impact of a single global stretching session on plantar pressures and lumbar range of motion (RoM) over one week in sedentary university students. Design: A randomised controlled trial with two parallel groups. Participants: Sixty-four university students were randomly assigned to a stretching group or control group. The stretching group received a single session of global stretching and the control group remained seated for the same length of time as the stretching session. Main outcome measures: Lumbar RoM and plantar pressures were assessed before, immediately after, 48 hours after, and 7 days after intervention. Results: Group-by-time interaction was significant for lumbar lateral flexion (p = 0.044), right maximal pressure (p = 0.003), left maximal pressure (p = 0.008), right mean pressure (p = 0.025), left mean pressure (p = 0.002), and maximal pressure minus mean pressure in right foot (p = 0.007). The model with plantar pressures showed a significant difference for group-by-time interaction (p = 0.010).Conclusion: Global stretching seems to counteract the ill-effects of prolonged sitting up to seven days with respect to plantar pressure in standing without improving lumbar ROM

The state of Veracruz has ample water resources. However, due to population and industrial growth, there has been an increase in the discharge of wastewater into surface water bodies. To analyze the water quality in the Bobos River, Veracruz, and its sustainability, researchers collected nine samples from nine different points in the reservoir. They measured various parameters such as temperature, pH, dissolved oxygen, conductivity, total nitrogen, nitrate, chemical oxygen demand, total phosphorus, phosphate, dissolved solids, and fecal coliforms. The results showed that the river's water quality is at risk. The concentration of pollutants such as chemical oxygen demand and fecal coliforms is high. Conductivity values ranged from 0.26 to 3.81 mS. If preventive and corrective measures are not taken, the river's ability to purify pollutants will be severely compromised. This study evaluates the physical, chemical, and microbiological characteristics of the water in Bobos River. It specifically investigates the influence of the nearby citrus industry on the river's water quality. The study also aims to promote environmental sustainability.

Interferon-beta is one of the most widely prescribed disease-modifying therapies for multiple sclerosis patients. However, this treatment is only partially effective, and a significant proportion of patients do not respond to this drug. This paper proposes an alternative fuzzy logic system based on the opinion of a neurology expert to classify relapsing-remitting multiple sclerosis patients: high, medium, and low responder to interferon-beta. Also, a pipeline prediction model trained with biomarkers associated to interferon-beta response is proposed for predicting whether patients are potential candidates to be treated with this drug, in order to avoid ineffective therapies. The classification results shows that the fuzzy system presents a 100% efficiency compared with an unsupervised hierarchical clustering method (52%). So, the performance of the prediction model is evaluated, and a 0.8 testing accuracy is achieved. Hence, a pipeline model including data standardization, data compression, and a learning algorithm, can be a useful tool for getting reliable predictions about the response to interferon-beta.

We analyze the humoral and B-cell mediated immunogenic response induced by GP5 lineal epitopes from porcine reproductive and respiratory syndrome virus (PRRSV) to explore the role of this protein in the protective response. For inoculation, pigs aged twenty-one days were allocated into six groups (seven pigs per group): control (PBS), vehicle (carrier), vaccinated (Ingelvac-PRRSV, MLV®), non-vaccinated and naturally infected, GP5-B and GP5-B3. Subsequently blood samples were collected and analyzed. Cytokine were measured by ProcartaPlex kit. Peptide-specific IgGs and cross-reactivity against peptides were analyzed by ELISA and B-cell subpopulations were analyzed by flow cytometry. At 2 days post-immunization (dpi), the GP5-B3 peptide increased the serum concentrations of cytokines associated to activate adaptive cellular immunity (IL-1β and IL-12). The concentration of IgGs anti-GP5-B increased in both cases at 21 and 42 dpi, while IgGs anti-GP5-B3 increased at 21 dpi and remained at the same level until 42 dpi. Also, antibody-forming/Plasma B cells (CD2+/CD21-) and primed B cells (CD2-/CD21+) from immunized pigs showed an increase at 42 dpi. Conversely the naïve B cells from immunized pigs decreased compared with the controls. Importantly, Both GP5-B and GP5-B3 peptides exhibited immunoreactivity against serum antibodies from vaccinated group, as well as non-vaccinated and naturally infected group. In conclusion, GP5-B and GP5-B3 peptides elicited immunogenicity mediated by antigen specific IgG´s and B-cell activation.

This paper explores the integration of multiple intelligences and artificial intelligence (AI) in language learning, focusing on its potential to enhance personalization and engagement. Drawing from existing research and studies conducted in various contexts, including the Philippines, this study aims to contribute to the understanding of the benefits, challenges, and effectiveness of this integration. The paper begins with an introduction that highlights the background and significance of integrating multiple intelligences and AI in language learning, identifying research gaps, objectives, research questions, and the theoretical framework. A literature review provides an overview of multiple intelligences theory by Howard Gardner, the role of AI in language learning, and identifies gaps in the existing literature. The methodology section outlines the research design and approach, participant selection, data collection methods, validity and reliability measures, and ethical considerations. Findings and results are presented through the analysis of qualitative data, exploring emergent themes and patterns. The discussion section critically examines the identified research gaps, discusses the validity and reliability of the study, addresses the scope and limitations, and explores the implications of the findings for theory, practice, and future research. The conclusion summarizes the key findings and contributions of the study, reflects on the achievement of research objectives, offers recommendations for further research, and provides final remarks tying together the main points of the study. This paper contributes to the existing body of knowledge by providing insights into the integration of multiple intelligences and AI in language learning and its impact on personalization, engagement, and language learning outcomes.

In today's complex and rapidly changing world, integrating values, critical thinking, and moral reasoning in language and literature education is crucial for equipping students with the skills to navigate multifaceted ethical dilemmas and become responsible global citizens. This article highlights the connection between language, literature, critical thinking, moral reasoning, and values integration in education. Through language and literature, teachers can incorporate values education in their classroom, which can benefit not only individual students but also society as a whole. Theoretical frameworks such as character education, moral education, and values education provide the basis for this approach. The researcher recommends strategies for incorporating values integration in language and literature curricula, including the use of literary texts that promote critical thinking and moral reasoning skills. The limitations of this approach, including the challenges in assessing the effectiveness of values integration and potential resistance from some stakeholders, are also discussed. Ultimately, this article aims to call on educators to take a proactive role in promoting values integration in language and literature education, guided by the principles of Jesus Christ and the belief that education is not only about acquiring knowledge but developing character as well. Moreover, this concept has a significant and lasting impact on students' overall development that highlights the importance of values and moral reasoning needed to live a better life.

This qualitative study unveils the intricate interplay between blended learning, language and literature learning, internationalization, and the development of 21st century skills within the realm of higher education. Set against the backdrop of the environment of St. Michael's College in Iligan City, this exploration seeks to unravel the profound significance and transformative implications of these educational dimensions. By delving into the rich perspectives and experiences of 30 college students, this study addresses critical gaps in the literature and sheds light on the potential of these integrated elements. Guided by a robust theoretical framework that amalgamates renowned scholars' insights on blended learning, language acquisition, internationalization, and 21st century skills, the study employs a qualitative research design, employing interviews, observations, and document analysis. The findings illuminate the dynamic nature of blended learning, empowering students with enhanced engagement, flexibility, and accessibility in language and literature education. The incorporation of diverse literary texts and cultural perspectives fosters intercultural competence and global awareness. Moreover, the study underscores the cultivation of critical 21st century skills through immersive learning experiences. Drawing upon the insights gained, the study provides practical recommendations for educators and curriculum designers to harness the potential of blended learning, foster diversity in literary texts, and facilitate the application of 21st century skills. Recognizing the inherent limitations, including the specific context of St. Michael's College and the modest sample size, this study encourages future research to explore broader contexts and diverse participant cohorts. Overall, this illuminating study contributes to the scholarly discourse on integrating blended learning, language and literature learning, internationalization, and 21st century skills in college education. It beckons educators and policymakers to embark on a transformative journey, nurturing an enlightened future where students are equipped with the competencies to navigate the complexities of the 21st century.

In the depths of inquiry, where thoughts unfurl like tendrils of smoke, this qualitative study ventures into the enigmatic realms of diaspora, migration, and the elusive brain drain within the tapestry of the Philippines. It is a journey guided by a sturdy theoretical framework, traversing the multifaceted dimensions of society, culture, and psyche. Here, the lens expands beyond the confines of economics, delving into the essence of these phenomena, seeking profound insights that dance beneath the surface. Through meticulous analysis of empirical data, hidden truths emerge, illuminating the intricate dynamics of diaspora, the intricate patterns of migration, and the intricate threads that shape migration decisions. Moreover, it peers into the intricate tapestry of impacts that diaspora and migration have on both sending and receiving societies, casting a beam of understanding upon their social, economic, and cultural implications. The study, in its wisdom, extends its reach to offer valuable policy recommendations, serving as a compass for stakeholders and decision-makers. It emphasizes the pivotal importance of harnessing the vast potential held within diaspora, fostering social integration, and bridging the gaps in knowledge that lie in wait. In its entirety, this research harmonizes with the existing body of knowledge, blending seamlessly with the symphony of understanding, and ignites the path towards evidence-based strategies that pave the way for sustainable development and the well-being of societies near and far.

Delve into the ebb and flow of human ingenuity as the researcher traces the evolution of writing from papyrus to pixels. Discover how humble instruments like quill pens and typewriters have propelled human into the digital frontier, forever reshaping the art of expression in the modern age. This article examines the evolution of writing tools from traditional pen and paper to digital writing in the modern age. It explores the development of writing materials such as papyrus, parchment, and paper, as well as the invention of writing tools including quill pens, fountain pens, and typewriters. The rise of digital writing tools, including word processing software and smartphones, is also discussed, along with their benefits such as increased efficiency and productivity, enhanced collaboration and sharing capabilities, and greater accessibility and flexibility. However, the article also highlights the challenges of writing in the digital age, including the impact of digital distractions on writing focus and quality, the issue of online plagiarism and copyright infringement, and the potential loss of traditional writing skills. The article concludes with recommendations for educators, school administrators, students, and researchers to strike a balance between digital and traditional writing practices, to embrace digital writing tools while preserving traditional writing skills, and to understand the importance of the evolution of writing. The theoretical frameworks of Social Construction of Technology (SCOT) Theory, Media Ecology Theory, and Activity Theory are also discussed in relation to the evolution of writing tools. Overall, this article provides valuable insights into the history, benefits, and challenges of writing in the digital age, as well as suggestions for navigating the future of writing and its tools.

This study employs a qualitative research approach to investigate the intrinsic and extrinsic motivations that influence college students' engagement, learning experiences, and long-term commitment to language and literature studies within the context of blended learning modality. Drawing on the theoretical frameworks of Self-Determination Theory and Achievement Goal Theory, the research explores the complex interplay between intrinsic factors (e.g., passion, self-improvement, personal growth) and extrinsic factors (e.g., external rewards, recognition). The study is conducted at SMC among the 30 participant and utilizes interviews and classroom observations, in conjunction with a comprehensive review of relevant literature, to gain insights into the impact of these motivations on academic performance and learning outcomes, particularly in blended learning environments. The study acknowledges the limitations inherent in its locale-specific scope and the challenges associated with ensuring the validity and reliability of data collected through online surveys and virtual classroom observations. The findings of this study have significant implications for educators and policymakers, highlighting the importance of nurturing intrinsic motivation while leveraging extrinsic factors to establish supportive learning environments that foster student autonomy, incorporate student interests, and provide timely feedback. By comprehending the motivations that drive student engagement and long-term commitment, educators can enhance learning experiences, elevate academic performance, and sustain students' engagement with language and literature studies amidst the evolving educational landscape of blended learning modality.

In the wake of globalization and the revolutionary impact of Artificial Intelligence (AI), literature and language education play a pivotal role in preparing the next generation to navigate an ever-changing world. This reflective concept paper explores the profound insights shared by educators, focusing on literature and language education amidst globalization and AI. Drawing on interviews and observations, teachers' reflections reveal the enduring value of literature in shaping young minds, fostering critical thinking, and promoting empathy. Additionally, they emphasize the importance of embracing multilingualism and cultural diversity to equip students for an interconnected world. In the face of challenges, educators showcase their resilience and adaptability, harnessing technology, particularly AI-driven tools, to foster future-ready learners. Identifying gaps and implications in literature and language education, this paper sets the stage for collective efforts among stakeholders to shape the future of education. Ultimately, teachers hold the key to nurturing a generation capable of embracing the complexities of the AI-driven global landscape with confidence and compassion, empowering students as transformative agents in a rapidly changing world.

In the intricate tapestry of our ever-evolving world, where complexities abound and change unfurls with unyielding speed, the amalgamation of values, critical thinking, and moral reasoning within the realm of language and literature education emerges as an imperious necessity. For it is through this harmonious integration that we fortify the minds of our students, bestowing upon them the indispensable tools to traverse the labyrinthine paths of multifaceted ethical quandaries, while shaping them into steadfast guardians of our shared global community. This article highlights the connection between language, literature, critical thinking, moral reasoning, and values integration in education. Through language and literature, teachers can incorporate values education in their classroom, which can benefit not only individual students but also society as a whole. Theoretical frameworks such as character education, moral education, and values education provide the basis for this approach. The researcher recommends strategies for incorporating values integration in language and literature curricula, including the use of literary texts that promote critical thinking and moral reasoning skills. The limitations of this approach, including the challenges in assessing the effectiveness of values integration and potential resistance from some stakeholders, are also discussed. Ultimately, this article aims to call on educators to take a proactive role in promoting values integration in language and literature education, guided by the principles of Jesus Christ and the belief that education is not only about acquiring knowledge but developing character as well. Moreover, this concept has a significant and lasting impact on students' overall development that highlights the importance of values and moral reasoning needed to live a better life.

Several studies explore in depth the biochemistry and genetics of the pigments present in Fusarium graminearum but there is a need to discuss about their relationship with the mold’s observable surface color pattern variation throughout its lifecycle. Furthermore, they require basic cataloguing and description of their major features known so far. Colors are a viable alternative to size measurement in growth studies. When grown on yeast extract agar (YEA) at 25 °C, F. graminearum initially exhibits a whitish mycelium, developing into a yellow-orange mold by the sixth day and then turning into wine-red. The colors are likely due to accumulation of the golden yellow polyketide aurofusarin and the red rubrofusarin, but the carotenoid neurosporaxanthin possibly play also a major role in the yellow or orange coloration. Torulene might contribute for red tones but it perhaps ends up being converted into neurosporaxanthin. Culmorin is also present but it does not contribute for the color, though it was initially isolated in pigment studies, and there is the 5-deoxybostrycoidin-based melanin, but it occurs mostly in the teleomorph’s perithecium. There is still a need to chemically quantify the pigments throughout the lifecycle, analyze their relationships and how much each impacts F. graminearum surface color.

Structural health monitoring (SHM) is critical for ensuring the safety of infrastructures like bridges. This article presents a digital twin solution for SHM of railway bridges using low-cost wireless accelerometers and Machine Learning (ML). The system architecture combines edge on-premises computing and cloud analytics to enable efficient real-time monitoring and complete storage of relevant time-history datasets. After train crossings, accelerometers stream raw vibration data, which is processed in the frequency domain and analyzed via machine learning to detect anomalies indicating potential structural issues. The digital twin approach is demonstrated on an in-service railway bridge, where vibration data was collected over two years under normal operating conditions. By learning allowable ranges for vibration patterns, the digital twin model identifies abnormal spectral peaks, suggesting changes in structural integrity. The long-term pilot proves that this affordable SHM system can provide automated and real-time warning of bridge damage and also supports the use of in-house designed sensors of lower-cost and edge computing capabilities than those used in the demonstration. The successful on-premises-cloud hybrid implementation provides a cost effective and scalable model for expanding monitoring to thousands of railway bridges, democratizing SHM to improve safety by avoiding catastrophic failures.

In the evolving landscape of higher education, St. Michael's College (SMC) recognizes the significant impact of the COVID-19 pandemic on student welfare. This paper emphasizes the critical importance of addressing mental health, time management, and stress in the college environment, underlining their influence on academic success and personal growth. The call to action urges students to prioritize their well-being. Diverse cultural and religious perspectives, including Islam, emphasize the importance of a balanced mind and body. The wide-ranging literature review uncovers empirically supported strategies for mental health, time management, and stress reduction. Personal autonomy emerges as crucial in addressing these challenges. This study underscores the importance of these dimensions, calls for student action, and highlights the diversity of perspectives contributing to holistic well-being.

In an era of global connectivity, language and literature education faces the challenge of navigating multilingualism, cultural diversity, and technological advancements. This paper explores the challenges and opportunities in language and literature education in the era of global connectivity. Through a qualitative research approach, interviews, focus group discussions, and classroom observations were conducted with 30 Arts and Sciences students and teachers. The findings reveal significant themes related to cultural diversity, multilingualism, and the integration of technology in language learning. The study emphasizes the importance of inclusive pedagogies, critical thinking development, and the incorporation of authentic and diverse literary works. Recommendations are provided for educators and policymakers to promote intercultural understanding and enhance language and literature education. The limitations of the study suggest areas for future research, including long-term language proficiency and diverse contextual considerations. Overall, this paper calls for ongoing innovation and collaboration to meet the evolving needs of language and literature education in an interconnected world.

This qualitative study conducted at St. Michael's College explores the integration of philosophical dimensions in arts and sciences education and its implications for pedagogy and student learning. Drawing on three theoretical framework informed by Piaget, Sartre, and Vigotsky, the study examines the perspectives of 30 participants, including teachers and students, through semi-structured interviews. The findings reveal diverse viewpoints, with some participants emphasizing disciplinary specialization for focused skill development, while others advocate for integrating philosophical dimensions to enhance critical thinking, interdisciplinary connections, and ethical awareness. The implications highlight the importance of balancing disciplinary depth with interdisciplinary exploration in arts and sciences education. Educators are encouraged to recognize the value of disciplinary specialization while integrating philosophical dimensions to foster critical thinking skills, interdisciplinary connections, and ethical awareness among students. Recommendations include providing professional development opportunities for educators, incorporating philosophical perspectives in curriculum frameworks, and exploring the long-term impact of integrating philosophical dimensions on student learning outcomes. Future research should investigate specific pedagogical approaches, consider cultural and contextual factors, and further explore the impact of integrating philosophical horizons to advance educational practices. By embracing the integration of philosophical dimensions, educators can create meaningful learning experiences that promote critical thinking, interdisciplinary connections, and ethical awareness in arts and sciences education.

The COVID-19 pandemic has brought about major changes in our world and has accelerated the progress of the job market. This presents both a challenging and exciting prospect for the workforce in the future, particularly in 2030 and beyond. Through thorough literature reviews, this paper navigates the constantly changing landscape of education and employment. It specifically focuses on the importance of preparing students for the jobs of the future by fostering skills such as adaptability, critical thinking, empathy, integrity, optimism, proactivity, and resilience. The pandemic has accelerated the need for online learning and remote work skills, which are now essential for future success. Through observations, the paper also examines the pulse of the situation in Iligan City, Philippines, where aligning educational institutions with the changing job market is crucial. Overall, this paper has significant implications for educational reforms and real-world challenges, creating a guide for institutions to empower students and contribute to the city's economic growth. Significant information suggests that in a constantly evolving world, those who are prepared, adaptable, and equipped with the skills to shape the future will succeed. Iligan City is well-aware that it needs to position itself to play a pivotal role in this journey.

Amidst the transformative backdrop of the post-Covid-19 context, the researcher embarks on a qualitative exploratory study to investigate the intricate interplay of religiosity, educational engagement, and campus life among college students at St. Michael's College, Iligan City. Guided by a theoretical framework integrating Vygotsky's sociocultural theory, Fredricks et al.'s engagement theory, and Pascarella & Terenzini's educational impact theory, this study delves into the dynamic fruition of religiosity in response to the pandemic's impact. Employing purposeful and maximum variation sampling, the investigation unravels narratives from interviews, focus group discussions, and observations. Through thematic analysis, themes of "Adaptive Integration," "Religious Resilience," "Community Nexus," "Challenges of Synchronization," and "Identity Negotiation" emerge. In the discourse of these themes, strategies students employ to navigate challenges arising from this confluence are unearthed. Rooted in a deep understanding of the context, this study presents implications for fostering holistic growth within an inclusive educational environment. As the findings and insights are presented, stakeholders are invited to reimagine the role of religiosity, educational engagement, and campus life in shaping the holistic student experience in a world forever changed.

This qualitative exploratory study employs purposeful and maximum variation sampling to explore Mother Ignacia del Espíritu Santo's spiritual journey and the devotion of RVM Sisters. Gathering thirty participants offers a diverse range of perspectives, providing insights into the local community. Thematic analysis highlights their impact during the pandemic in Iligan City. Ignacian spirituality spreads through education, retreat, other ministries and digital adaptation by the RVM Sisters. Through in-depth literature reviews, interviews, and observations, the researcher uncovers Mother Ignacia's journey, resonating with modern spirituality. RVM Sisters adapt during the pandemic, inspiring hope in words and in action. Their humility despite their accomplishments is particularly inspiring. This transformative journey holds significance, illuminating resilience in a post-COVID-19 context. The study contributes to literature and suggests amplifying RVM Sisters' influence. Overall, in a pandemic-stricken world, it emphasizes spirituality's role as a beacon of strength and compassion, inspiring revitalization. The essence of Mother Ignacia and the RVM Sisters' spiritual expedition serves as a celestial inspiration, guiding local residents toward compassion, fortitude, and collective renewal.

This study investigates the multifaceted aspects of 21st century teaching and identifies gaps in current educational practices. The researcher employed a qualitative approach, utilizing interviews, observations, and document analysis. Grounded in a theoretical framework emphasizing student-centered pedagogy, technology integration, and innovative instructional strategies, the study involved a diverse sample of 30 participants, including teachers, students, and administrators. Rigorous measures were implemented to ensure validity and reliability, such as researcher triangulation and member checking. The findings revealed significant gaps in areas such as student engagement, digital literacy, and pedagogical innovation. These findings are discussed in relation to existing literature, highlighting the implications for educational practice and the urgent need for educational transformation. The study's limitations include the small sample size and its focus on a specific educational context. Future research should explore the identified gaps using different methodologies and extend the investigation to other educational settings. The study contributes to the growing body of knowledge on 21st century teaching, providing valuable insights for educators, policymakers, and researchers aiming to promote effective and transformative teaching practices in the modern era.

In an era characterized by the ever-shifting landscapes of the digital realm, this paper intricately examines the interplay between digital culture, cultural dynamics, and beliefs in academia. Utilizing insights from cutting-edge language models, the study uncovers nuanced cultural expressions among Arts and Sciences students navigating the digital domain. Employing qualitative methods including interviews, observations, in-depth literature reviews, and thematic analysis, findings highlight digital interactions' transformative impact on cultural narratives and the potential of digital ethnography as a lens for understanding intricate cultural phenomena. This research enriches digital ethnography and cultural dynamics, offering fresh perspectives on the symbiotic relationship between digital culture and traditional beliefs, underscored by data from a maximum purposeful sampling of thirty (30) participants. Overall, this exploration emphasizes digital culture's dynamic role in shaping and reflecting cultural convictions, contributing to the understanding of cultural dynamics and evolving digital ethnography in the academic landscape.

In the whole world, including Mexico, the rising prevalence of diabetes poses significant challenges to healthcare systems, with a notable impact on hospital admissions even being an ambulatory care sensitive condition, that means, hospital admissions are avoidable. Traditional healthcare methodologies have been instrumental in managing diabetes and preventing complications, yet they often face limitations such as merging, cleansing, and outlier analysis of health data to identify and address diseases effectively. This paper aims to address this gap by conducting a comprehensive comparison of the methodologies used in healthcare and data science for this purpose. This work uses hospital diabetes discharge records from 2010 to 2023, a total of 36,665,793 records, which belong to medical units of the Ministry of Health of Mexico. In this work, we seek to provide the arguments why as a data scientist it is mandatory to learn the field of knowledge of the problem and its implications if this is not done, and therefore to disclose insights that can help in policy decisions and reduce the burden of avoidable hospitalizations. The approach is mainly based on the standardization or adjust rates by sex and age groups. This study provides the foundations for a new way of data scientist must deal with health data.

In this inclusive review article, the focus is on navigating the dynamic landscape of literature education, particularly the profound pedagogical shifts observed in the aftermath of the pandemic. The article synthesizes global insights, delving into how educators have adapted to hybrid models and embraced digital tools, fundamentally transforming the reading, analysis, and engagement with literary works. Exploring the integration of digital tools in literature education, the review uncovers the transformative impact of technology on traditional pedagogies. It analyzes the challenges and opportunities inherent in adapting literature education to the digital era, emphasizing the need for inclusive practices and adaptability. The article concludes by suggesting future research directions, encompassing AI integration, inclusive practices, cultural variations, long-term effects of hybrid models, and effective pedagogical strategies for technology integration. With a comprehensive approach, this review not only summarizes the current state of literature education but also discusses its implications, offering a holistic understanding of the contemporary educational landscape and setting the stage for future research endeavors.

This qualitative research examines the quality assurance practices in private school institutions in Iligan City during the first semester of 2020-2021. The study involves interviews with 30 school administrators and document analysis to uncover key themes and sub-themes. The findings reveal the significance of clear policies, professional development for teachers, stakeholder engagement, assessment strategies, and technology utilization in quality assurance. The study also identifies challenges such as the need for standardized assessment procedures, limited resources for professional development, and the integration of technology. Moreover, it emphasizes the importance of adaptability and flexibility in the face of changing educational landscapes, particularly during the COVID-19 pandemic. Recommendations for further research include conducting a comparative analysis between private and public school institutions, investigating the long-term impacts of the pandemic on quality assurance, and exploring innovative strategies for online and blended learning environments. The paper concludes by highlighting the importance of addressing challenges and embracing new perspectives in quality assurance to improve the overall quality of education. The implications of the study emphasize the need for comprehensive quality assurance frameworks that encompass all aspects of education and the importance of ongoing evaluation and improvement. Ultimately, this qualitative research article contributes valuable insights for private school institutions and educational policymakers to enhance their quality assurance practices and provide better educational experiences for students.

This study intricately explores the evolving tapestry of Christmas celebrations in a post-pandemic era, where tradition delicately intertwines with technology. The literature review presents a global panorama of Christmas observances, delving into varied religious perspectives. Within this exploration, a Southeast Asian country discreetly initiates its festivities as early as September—a nuanced response to the profound significance of Christmas. Navigating the digital age, the paper dissects the impact of virtual gatherings, the surge in e-commerce, and digital church services on festive traditions. Employing diverse research methods, including thematic analysis, nuanced insights are synthesized from extensive literature reviews, interviews, and observations. Scrutinizing challenges posed by the digital divide, the erosion of personal connections in virtual gatherings, and sustainability concerns in online celebrations, the qualitative research methodology reveals the interplay between tradition and technology. The paper contemplates the future of Christmas in this transformative era, offering implications for future celebrations, technology developers, policymakers, and beyond. This endeavor invites contemplation on the dynamic interplay shaping the festive landscape and prompting reflection on future celebrations.

In an era marked by rapid technological progress and global dynamics, the Neo-Language Acquisition and Learning Theory challenges conventional language acquisition paradigms through its conceptualization of 'Grit: The Unyielding Will to Connect,' emphasizing determination, motivation, and adaptability as the primary drivers of language learning, transcending age-related constraints and critical periods. This theory also underscores 'Self-Preservation: Language as the Canvas of Reality,' as language plays a pivotal role in preserving and conveying our individual and collective experiences. Recent global events have underscored the theory's relevance, prompting a reevaluation of language education in response to changing circumstances. Moreover, 'Techno-Training: Language Acquisition and Learning in the Digital Age' is integral to the theory, as it recognizes the influence of technology on modern language education. Beyond traditional methods, these three reshape our fundamental understanding of said theory. Drawing from historical evidence, psychological principles, and contemporary applications, they supported the conceptualization of the theory itself. Overall, the Neo-Language Acquisition and Learning Theory revolutionizes language education, spotlighting the power of motivation, determination, and adaptability to navigate the evolving landscape of language learning and acquisition.

This review article delves into the intricate psychology behind galivanting, absenteeism, and self-denial among college students. By conducting a meticulous analysis of relevant books, journals, and articles, key psychological factors come to light. The review examines the influence of exploration and identity formation, social motivation, coping mechanisms, lack of motivation or engagement, time management, and self-denial on these behaviors. By addressing gaps in the literature, it provides a deeper understanding of the phenomena at hand. The implications of this study extend to the development of interventions and strategies that address self-denial tendencies, promote effective time management, and foster a supportive learning environment. By shedding light on the intricate interplay of these factors, this paper opens doors for future research and targeted interventions, ultimately aiming to enhance academic engagement, reduce absenteeism, and support the overall well-being and success of college students.

This study investigates how digital alchemy can enhance literature and language teaching through a combination of online and face-to-face learning. It uses constructivist learning theory and the SAMR model to examine how digital tools and resources can transform learner engagement, critical thinking, and creativity. The study gathered data from interviews, focus groups, and document analysis with 30 participants from private HEI schools. The results show that digital alchemy through blended learning allows learners to personalize and collaborate in their exploration of various literary texts. However, the study also identifies some challenges related to resource availability and educator training. The study emphasizes the importance of using digital alchemy in literature and language teaching and suggests some ways for educators, administrators, and policymakers to effectively use digital tools and resources for student-centered teaching methods in the digital era.

Teaching and learning a new language is a complex process that requires more than just memorizing vocabulary and grammar rules. Immersing oneself in the target language's culture and history is essential for achieving fluency and accuracy. In recent years, researchers have explored the potential of music as a tool for language learning. This paper discusses the benefits of using music in language learning, including improved listening comprehension, pronunciation and fluency, and cultural understanding. The theoretical framework of sociocultural theory, cognitive load theory, and task-based language learning is presented to support the use of music in language learning. This paper also provides practical recommendations for learners to incorporate music into their language learning routine, as well as resources for finding music in the target language, such as online music platforms and language learning apps. The article concludes by encouraging language learners to incorporate music into their language learning routine and providing resources for finding music in the target language, such as online music platforms and language learning apps. Overall, this paper demonstrates that music can be a powerful and enjoyable tool for enhancing language learning outcomes.

In an ever-evolving landscape of higher education, this study delves into the transformative potential of merging deep learning principles and meaningful pedagogy in language acquisition, aided by artificial intelligence (AI) technologies. Drawing from a qualitative research design, it navigates the post-pandemic educational landscape, examining shifts in language education, student perspectives, and adaptations. Through comprehensive data collection methods, including literature review, interviews, and classroom observations, the study presents insights from 30 participants from SMC. The qualitative findings reveal emerging themes related to deep learning, meaningful learning, AI integration, and language acquisition, underscoring their profound impact on teaching methods and student engagement. This research contributes to the field by shedding light on innovative approaches that elevate language acquisition in an AI-evolving educational environment. The study concludes with implications for school administrators, teachers, and students, offering recommendations for future research directions, ultimately striving to enhance language education in the modern era.

The post-pandemic landscape has ushered in a transformative phase in education, compelling a profound reexamination of the humanities' role. This study navigates the multifaceted dimensions of humanities education, including its response to digital transformation, interdisciplinary methodologies, emotional intelligence cultivation, inclusivity efforts, and its forward trajectory. Employing qualitative methods, including innovative approaches such as advanced data analysis techniques, intensive in-depth literature reviews, maximum purposeful sampling, informal interviews among thirty (30) participants from SMC, observation, and thematic analysis, this research captures diverse perspectives. Leveraging evolving research methodologies, the study resonates implications for educators and institutions, envisioning a humanities education poised for resilience and responsiveness, sculpted by the pandemic's challenges and the potential it has unveiled.

Amidst the dynamic landscape of education, this paper embarks on a transformative journey that explores the integration of Artificial Intelligence (AI) in literature and language education. Through a qualitative exploratory approach, purposeful and maximum variation sampling method, the researcher delves into the experiences of educators and learners, unraveling the multifaceted dimensions of AI-driven pedagogy in SMC. Drawing upon a theoretical framework encompassing Constructivism, Connectivism, and Socio-Cultural Theory, the study examines AI's role in reshaping pedagogical landscapes, fostering critical thinking, and expanding access to education. The results resonate with participants' narratives, unveiling AI's potential in fostering personalized learning pathways, enhancing collaborative engagement, and bridging digital divides. Ethical considerations in AI education are explored, leading to the proposition of responsible guidelines. These findings underline the transformative power of AI in education, aligned with the institution's commitment to quality education and innovation. Overall, the study calls for ongoing exploration, emphasizing the qualitative research method's depth and richness, as well as the theoretical framework's guidance in realizing the study's objectives. As AI continues to shape education's frontiers, this research underscores the significance of adaptability, ethical awareness, and holistic engagement for school administrators, educators, learners, and researchers alike.

Amidst nature's enchanting embrace, forests stand as revered guardians, safeguarding biodiversity and nurturing rural livelihoods. In this journey, a qualitative study takes flight, exploring the cherished perspectives of the community within Iligan City's rustic expanse in Iligan City, Philippines. Its purpose? To unveil the intricate dance between forest conservation efforts and local livelihood strategies, weaving a tapestry of understanding. Through heartfelt conversations and keen observations, a diverse ensemble of 30 participants shares their wisdom, as thematic analysis reveals its breathtaking hues. In this symphony of voices, the community's resounding admiration for forest conservation emerges, painting a vivid portrait of its ecological significance and cultural splendor. As the canvas unfolds, the participants unfurl the whispered secrets of forest benefits—the gentle preservation of water resources and the enchanting pathways to ecotourism. Yet, amidst this beauty, they tenderly acknowledge the delicate trade-offs, where access to resources finds limitations. And so, the forest emerges as a steadfast companion in their livelihood odyssey, bestowing subsistence resources, opportunities for fruitful endeavors, and a profound sense of cultural heritage. These heartfelt discoveries beckon us to embrace the wisdom of the community, intertwining local perspectives into the fabric of forest conservation strategies, and championing participatory approaches that resonate with shared hopes and dreams. This study bestows upon us precious insights, illuminating the path towards sustainable forest management—a harmonious union where conservation goals and the vibrant tapestry of local livelihood needs dance hand in hand. Overall, locals must heed the profound symphony woven by forests and livelihood, as policymakers and practitioners craft a future where nature's melodies echo in the hearts of all who call the forest their home.

This article explores the cross-cultural significance of three iconic fairy tales: Cinderella, Snow White, and Sleeping Beauty. Using a comparative analysis approach, the study investigates recurring themes, motifs, and symbolism found in these tales across different cultures and time periods. The research draws on primary and secondary sources such as literary works and scholarly articles to uncover the underlying messages that resonate with audiences worldwide. The historical and cultural contexts of the tales are also examined to provide a deeper understanding of their significance in shaping cultural identity and values. The findings of the research demonstrate the enduring legacy of these tales and their continued relevance in contemporary society. The study highlights how the tales have evolved and adapted over time to reflect changing cultural values and beliefs. The interpretation of the findings offers insights into the role of storytelling in shaping cultural identity and values, and the ways in which these stories continue to inspire and captivate audiences worldwide. Overall, this research provides a comprehensive and nuanced understanding of the significance of these three fairy tales across cultures and time. By illuminating the similarities and differences in these tales, the study offers a fresh perspective on the power of storytelling and its ability to transcend cultural boundaries. The research contributes to the fields of folklore, cultural studies, and cross-cultural communication, inspiring further exploration into the captivating world of fairy tales.

This study delves into the dynamic intersection of artificial intelligence (AI) and English Language Teaching (ELT) within the post-pandemic educational landscape. Grounded in Constructivism, Connectivism, and Technological Pedagogical Content Knowledge (TPACK), this research explores how AI integration impacts language instruction efficiency, benefits and challenges perceived by St. Michael's College students, differences in learning outcomes, and its potential to address the digital divide. Employing a qualitative approach, the study employs a rigorous method that includes intensive in-depth reviews of literature, maximum purposeful sampling, informal interviews, observation, and thematic analysis. Through these methods, data was collected from 30 participants, leading to the identification of five key themes. Findings suggest that AI enhances instructional efficiency, offers personalized learning experiences, and bridges gaps in remote settings. However, challenges and the importance of pedagogical balance emerged. The study underscores the need for adaptive pedagogical strategies to fully harness AI's potential. Future directions and limitations are discussed, emphasizing the study's implications for shaping the future of ELT.

Blended learning, the integration of online and face-to-face instruction, has garnered attention in education. This paper aims to explore challenges in blended learning faced by students, teachers, and parents and propose mitigating strategies. The study employed qualitative research methods and involved 30 participants from St. Michael's College. Findings revealed primary challenges, including technical difficulties, time management, lack of interaction, and varying digital literacy levels. These challenges influenced engagement, communication, and student achievement. The study utilized a theoretical framework encompassing Technological Pedagogical Content Knowledge, Social Presence Theory, and Activity Theory. Strategies recommended comprise providing technical support, promoting communication and collaboration, offering professional development, and leveraging learning analytics. The study contributes to the existing literature by identifying specific challenges and proposing practical recommendations for enhancing blended learning effectiveness. Limitations include a small sample size and context-specific findings. Future research should investigate these challenges in broader settings and examine the long-term effects of the recommended strategies. Addressing blended learning challenges can empower educators, administrators, and policymakers to create supportive and effective learning environments for all stakeholders involved.

The COVID-19 pandemic has invited us to envision education anew, embracing a new era of instructional practices and learning environments. This study explores language teachers' and students' experiences in the post-pandemic landscape, providing valuable insights into the challenges, adaptations, and opportunities. Grounded in socio-cultural perspectives and educational theories, such as Vygotsky's socio-cultural theory and Deci and Ryan's self-determination theory, the study employs Interpretative Phenomenological Analysis (IPA) to comprehensively analyze secondary data sources. Findings reveal the significant role of social interaction and cultural context in language learning, amid reduced face-to-face contact and increased reliance on technology. The study uncovers the intricate interplay between individual, interpersonal, and environmental factors, shedding light on educators' and learners' challenges. Autonomy, competence, and relatedness emerge as crucial for intrinsic motivation and optimal learning outcomes. While acknowledging limitations related to secondary data sources, the study offers a comprehensive overview of the literature, informing language education practices in the post-pandemic era. It contributes to understanding the complex dynamics and interactions within language education and calls for future research using primary data collection methods to explore experiences and perspectives further. By understanding post-pandemic experiences, this study aims to shape education policies, practices, and pedagogical approaches, supporting effective language learning and the well-being of educators and learners in this transformed educational context.

In a rapidly evolving educational and economic landscape, exacerbated by the unforeseen ripple effects of the pandemic, this qualitative tracer study, encompassing 30 alumni participants from batches 2017 to 2022, delves into the professional journeys of College of Arts and Sciences alumni from St. Michael's College in Iligan City, Philippines. Combining in-depth literature reviews, astute observations, insightful informal interviews, and rigorous thematic analysis, this research unveils invaluable insights. The findings resonate with a clarion call for educational institutions to synchronize curricula with industry requisites, nurturing graduates with the critical thinking and communication skills imperative for heightened employability. Amidst this voyage, it becomes evident that personal aspirations wield remarkable influence in carving distinct career trajectories, underscoring the indispensable role of comprehensive career guidance and counseling within educational domains. Noteworthy is the profound impact of the ever-changing economic dynamics of the Philippines on the employability of these alumni, demanding perpetual adaptation in educational paradigms. Remarkably, the collective contributions of these graduates span diverse academic programs, attesting to their positive workforce imprint. Further exploration reveals a substantial proportion engaging in post-graduate education and training to enrich their qualifications. In a remarkable testament to their educational journey, alumni manifest a notably high level of job satisfaction, buoyed by facets like work-life equilibrium and employment stability. Overall, this tracer study is poised to drive transformative shifts in higher education, advocating for curricular harmonization, amplified career support, holistic skill cultivation, resilience to economic fluctuations, and sustained research to remain aligned with the dynamic job market. It serves as a catalyst in shaping an empowered, content, and adaptive workforce for tomorrow's challenges and opportunities.

This paper explores the dynamic interplay of K-12 education, the Fourth Industrial Revolution (IR 4.0), and internationalization in the Philippines. Through qualitative content analysis, key themes emerged, shedding light on the impact of K-12 education on global competitiveness, challenges in embracing IR 4.0 technologies, and opportunities arising from internationalization efforts. The findings underscore the significance of curriculum alignment with international standards, comprehensive digital literacy training, and fostering a global mindset to prepare students for the digitally-driven, interconnected world. Understanding the implications of these themes is crucial for the Philippines' education system, as it navigates towards a transformative and globally competitive future. Further, this research offers evidence-based recommendations and addresses research gaps, contributing to a broader understanding of how the convergence of these forces shapes the future of Philippine education. Future research avenues may explore long-term impacts on workforce preparedness, innovative IR 4.0 integration, and the effectiveness of internationalization efforts on educational outcomes. Eventually, this study inspires an education system that nurtures learners equipped to thrive in an ever-evolving global landscape.

The use of different sources to energize a load is convenient in many applications, particularly those where two or more renewable energy sources are employed as: energy harvesting, hybrid vehicles, and off-grid systems. In these cases, a multi-input converter able to admit sources with different characteristics and, if necessary, select the output power of each source. Several topologies of multi-input converters have been proposed to this aim, however, most of them are based on multi-stage designs, which decreases efficiency and increases control complexity, particularly when more than two sources are used. In this work, a three-input step-up converter easy to control in open loop condition is analyzed. A designed procedure is described, and experimental results are presented for a 1 kW power converter. The implemented converter results in a higher voltage gain, less storage element keeping high efficiency compared to similar topologies. Using the procedure here proposed, this converter that was initially proposed for photovoltaic applications is enabled to be used in medium and high-power applications, for example when renewable energy sources are used.

High efficacy LED lamps combined with adaptive lighting control and greenhouse integrated photovoltaics (PV) could enable the concept of year-round cultivation and become a feasible option even in the harsh climate of the Nordic countries. Meteorological satellite data of this region was analyzed in a parametric study to evaluate the potential of these technologies. The generated maps showed monthly average temperatures fluctuating from -20°C to 20°C throughout the year. The natural photoperiod and light intensity also changed drastically, resulting in monthly average daily light integral (DLI) levels ranging from 45-50 mol·m-2·d-1 in summer and contrasting with 0-5 mol·m-2·d-1 during winter. To compensate, growth room cultivation independent from outdoor conditions could be used in winter. Depending on the efficacy of the lamps, the electricity required for sole-source lighting at 300 µmol·m-2·s-1 for 16 hours would be between 1.4 and 2.4 kWh·m-2·d-1. Greenhouses with supplementary lighting could help start the cultivation earlier in spring and extend it further into autumn. The energy required for lighting highly depends on several factors such as the natural light transmittance, the light threshold settings and the lighting control protocol, resulting in electric demands between 0.6 and 2.4 kWh·m-2·d-1. Integrating PV on the roof or wall structures of the greenhouse could offset some of this electricity, with specific energy yields ranging from 400 to 1120 kWh·kWp-2·yr-1 depending on the region and system design.

Drawing on contextualization literature, this paper seeks to evaluate the impact of contextual theology from a Latin American perspective. Bevans' (2002) Praxis Model of contextual theology sets the conceptual framework used to evaluate the evangelical response to the sociopolitical crisis in Nicaragua. The case study provides an example of how Bevans’ Praxis Model can be applied by looking at the manner with which the evangelical and the catholic church have responded to the sociopolitical upheaval in Nicaragua. The literature on contextualization highlights how theologizing is inextricably tied to culture, that contextual theology is necessary to effectively communicate the truth of the Gospel in varying cultural contexts, and that the issues of syncretism and the plurality of theologies can be effectively addressed.

Leishmaniasis in wild canids is a vector-borne disease caused in Europe by the protozoan parasite Leishmania infantum. To date, there is limited information on clinical signs and laboratory abnormalities in wolves due to leishmaniasis. The current clinical case report described a female Iberian wolf (Canis lupus signatus) housed in semi-captivity conditions at the Centro del Lobo Ibérico “Félix Rodríguez de la Fuente”, in Robledo de Sanabria, Zamora (Spain) with an interdigital ulcerous wound at the right forepaw, hyper-gammaglobulinemia, and abnormal liver blood parameters. Definitive serodiagnosis of leishmaniasis was established using antileishmanial serum antibodies and PCR analysis of different biological samples. A gold standard anti-L. infantum treatment protocol consisting in intramuscular meglumine antimoniate and oral allopurinol combination was installed. However, the presence of pain at the site of injection due to meglumine antimoniate administration forced its substitution by oral miltefosine. A progressive reduction of the levels of anti-L. infantum serum antibodies and the concentrations of gamma-globulin fraction was detected after antileishmanial treatment as well as a decline of liver GPT. To our knowledge, this is the first case of leishmaniasis diagnosed in a wolf housed in semi-captivity conditions treated and successfully cured.

The study was carried out in zone 7 of Ecuador, in ecosystems of the Southern Montane Evergreen Forest of the Eastern Cordillera of the Andes that goes from 2200 to 3000 masl. In the Evergreen Seasonal Lower Montane Forest of Catamayo-Alamor, which ranges from 1600-2000 meters above sea level and finally in the Semideciduous Foot Montane Forest of Catamayo-Alamor, which ranges from 400-1600 meters above sea level. The objective was to know the occurrence, structure and abundance of J. neotropica. The investigation consisted of collecting secondary information on the occurrence of the species, to later verify it in situ. Six sites with areas ≥ 0.5 hectares were identified, four in the province of Loja and two in the province of Zamora Chinchipe. Regarding the structure, it was determined that there are significant statistical differences as well as in the dasometric variables between one site and another, presenting better growths El Tundo with average values in DAP(cm)= 45.16; G(m2) = 1.41; HT(m)= 19.22; HC(m)= 13; VC(m3) = 3.55; VT(m3) = 5.22. Regarding the Morisita index, the species presents adistribution pattern >1. Regarding abundance, it was determined that Algeria presented a maximum of 297 (ind/ha), and La Victoria 46 (ind/ha) with a minimum.

The global craft beer market is witnessing substantial growth, with a particular spotlight on sour beers. These unique brews are created through lactic fermentation initiated by lactic acid bacteria (LAB). However, the presence of hops, renowned for their antimicrobial properties, can pose a limitation within the realm of sour beer production. This research aims to explore and assess the potential of sour beer as a probiotic beverage. It involves a comparative analysis of the viability of Lacticaseibacillus paracasei subsp. paracasei F19 (F19) and 431 (L431) in a sour beer with an International Bitterness Unit (IBU) value of 26.65, alongside examining the ex-pression of genes such as horA, horB, horC, hitA, bsrA, and recA, which are associated with hop resistance. The study encompasses the development of two formulations of sour beers characterized by both high hop content and a robust probiotic count (8.44 – 8.77 log CFU/mL). The findings suggest that both probiotic strains of F19 and L431, are well-suited to produce sour beers with elevated hop levels, demonstrating excellent stability. Notably, the expression of genes responsible for hops resistance exhibited distinct modulation patterns among the two strains. It appears that a higher concentration of bsrA, as observed in strain L431, may be more effective in mitigating the effects of hop-related stress, potentially surpassing the combined expression of horA and bsrA. Nonetheless, further research is essential to validate this observation in gene expression. F19 and L431 emerge as promising candidates for the development of sour beers with increased hop intensity.

Conventional academic debate on sustainability and transformation has begun to be disputed by researchers, policymakers and other stakeholders from the private sector. The complexity of linking sustainability with transformation necessitates the development of new ways of understanding and explaining actors, processes, issues, structures, and outcomes related to transformation to sustainability (T2S). A persistent problem in understanding and managing the T2S is the implied notion of a monolithic transformation to achieve sustainability. This notion underestimates the diversity of actors as well as the historical contexts of transformations. At the same time, achieving T2S is highly dependent on technical solutions as well as policies that can stir needed behavioural change, whereas these technical solutions and policies are not always socially acceptable or politically implementable. Therefore, achieving T2S also calls for evaluating normative foundations of policies and actions needed to advance T2S. This article argues that T2S is composed of different phases, each of which having a different set of actors, resources and audience. This article explains how collective decision can be achieved through multiple levels and types of negotiations that occur in an orchestrated manner. To understand this, this article introduces a theoretical model as an analytical framework to structure how T2S unfolds. This model uses insights from negotiation studies to focus on the actors’ perspectives on T2S. It proposes the division of the transformation process into phases – entry point, learning, sequencing, disrupting and fortifying. Using the Germany’s energy transition (Energiewende), each of these phases is analysed to determine the “quality” of cooperation that can help fulfil the tasks required to master the so-called “cognitive games” of T2S (ripeness game, power game, bargaining game, policy game, scaling game). Moreover, insights are presented to explain how the designated milestone can be achieved that indicates the advancing to the next phase and eventually entrench the transformation process. The lessons and findings resulting from the analysis of the phases of T2S suggest that there is also the need to revisit underlying assumptions on negotiations, sustainability and transformation.

Community-led initiatives have emerged as powerful drivers of change in the realm of local environmental protection. This qualitative study, conducted in Acmac, Iligan City in 2020, delves into the motivations, strategies, challenges, and outcomes of community-led initiatives, shedding light on their transformative potential. Through interviews, participant observations, and document analysis, the study explores the themes of community empowerment, collaborative decision-making, environmental justice, sustainable practices, and policy advocacy. The findings reveal the significance of bottom-up approaches, emphasizing the role of community engagement in achieving environmental sustainability. The study contributes to the literature by filling gaps in understanding and providing insights into the dynamics and effectiveness of community-led initiatives. The implications of the findings extend beyond the local context, highlighting the need for inclusive environmental practices and policy frameworks. By fostering community empowerment and collaborative action, this research sets the stage for future research and the promotion of community-led initiatives worldwide.

In an increasingly interconnected world, the internationalization of languages plays a pivotal role in shaping global linguistic landscapes. This qualitative study delves into the intriguing realm of Cebuano, a language with a rich cultural heritage and a vibrant community of speakers. Through a meticulous exploration of language variation, adaptation, and policy dynamics, the researcher unravels the complex interplay between Cebuano and the global linguistic tapestry. Drawing upon a comprehensive literature review and qualitative research, including in-depth interviews and focus group discussions, this paper illuminates the nuanced manifestations of Cebuano beyond its traditional borders and sheds light on its presence in diverse international settings. The findings reveal the intricate dance of language and identity, offering insights into the processes of language maintenance, shift, and revitalization. As the researcher navigates the multifaceted dimensions of Cebuano's internationalization, not only is its global significance unraveled, but also the intricate connections between language, culture, and human experience are investigated. This study not only contributes to the scholarly discourse on language dynamics but also raises compelling questions about the preservation of linguistic diversity, the power of language in shaping identities, and the role of language in fostering intercultural understanding. By embracing the kaleidoscope of Cebuano's global journey, this paper invites readers to contemplate the broader implications for language diversity, communication, and cultural preservation in an increasingly interconnected world.

Digital storytelling is a powerful tool for language learning that has gained popularity in recent years. By incorporating different modes of communication such as text, images, audio, and video, digital storytelling provides learners with engaging and interactive experiences that promote language acquisition and cultural awareness. Digital storytelling can also promote interaction among learners, which is crucial for language learning, and provide learners with opportunities to receive feedback and support from their peers. Additionally, digital storytelling can be used to promote cultural sensitivity and intercultural dialogue among language learners. Through storytelling, learners can gain insights into the customs, values, and beliefs of different communities, and create stories that reflect their own cultural backgrounds and experiences. This paper provides an overview of the benefits of digital storytelling for language learning and highlights the various ways in which it can be used to enhance language acquisition and cultural awareness. It concludes with recommendations on how to effectively incorporate digital storytelling into language teaching practices.

It has been a challenge to visualize in nature some concepts from abstract subjects such as mathematics and philosophy. Irrationality is certainly among the least comprehensive. This essay aimed to propose that irrationality is simply an illusion resulting from the human inability to grasp the full nature of reality, rather than actual continuity flaws in the fabric of existence. There are three major arguments: (1) human senses have limitations and these are likely to be extended to the intellect, (2) there are no observable existential discontinuities in everyday experience, and (3) some rational phenomena have irrational components. These arguments point towards the existence of a physical existence of irrational quantities or distances, visible to the human eye but not fully comprehended through arithmetic abstraction.

Fusarium graminearum causes head blight in wheat and corn, and produces chemicals harmful for humans and other animals. It is important to understand how it grows in order to prevent outbreaks. There are 3 well-known growth models for microorganisms and they seem applicable to molds: linear, Gompertz and Baranyi. This study aimed to see which could better represent F. graminearum growth. Three replicates were grown in yeast extract agar (YEA) for 20 days. The Feret’s radius was measured in ImageJ software, and then related to the models. Linear model was the most closely correlated to the actual growth. Thus, considering that it was the most representative of the reality and it is easier to use, it seems to be the best logical choice for F. graminearum growth studies.

The Mozambican dairy industry landscape is not well known because the research about it presents numerous inconsistencies. These inconsistencies are possibly due to miscommunication between scholars, entrepreneurs, the government and other actors, besides major events such as the civil war and policy changes and overall lack of coordination. This study aimed to catalog and relate the major studies and findings in the Mozambican dairy research, contextualize them historically, analyze the implications and provide hints for future researchers. Dairy research seemed intimately related to the industry’s development, and it has been dependent on the country’s sociopolitical changes and opportunities. Social and economic studies are more abundant, perhaps because the dairy industry is emerging, thriving to stand out in a very competitive environment, but there are also studies in applied sciences, especially microbiology and chemistry. There are promising directions to follow such as the improvement of herding techniques (e.g. feeding, disease control), multidisciplinary synergies or exploration of traditional dairy products such as masse. Also, it would be important for institutions to share their research through electronic platforms, even the information published prior to the existence of the worldwide web.

The protection of Geographic Indications (GIs) is part of the intellectual property (IP) rights described in the Agreement on Trade Related Aspects of Intellectual Property Rights (TRIPS) after the Uruguay Round (1986-1994). The members of the World Trade Organisation (WTO), including Mozambique, have adopted it. This country legislated GI under Decree 18/99 (04/05/1999, title II, chapter VI) of the national Industrial Property Code, harmonised with TRIPS. However, there is little information about its enforcement and impact in the industry. This review analyses the possibility of protecting the Mozambican cashew nuts industry under the GI act. The industry, with major participation of smallholders and employing mostly women, produces one of the most profitable export commodities, though it has suffered colossal losses over the last thirty-five years. The analysis has shown that it is suitable and probably advantageous to protect the cashew nuts under the Decree 18/99. On the other hand, other local trade policies from 1991 are negatively impacting the entire industry and these might create the illusion of inefficacy of the new IP rights including the protection of GIs.

Mistrust between scientists and non-scientist stakeholders is a key challenge in fishery management. This problem is exacerbated with the use of complex models to support management: these models suffer from difficulties in communicating their results and a lack of confidence from end users. The European eel is an illustrative example; its complex life cycle raises problems of coordination and discussion among the multiple actors involved in the management of the species. The GEREM model has been proposed as a tool for estimating recruitment, but its complexity, which is essential for addressing the characteristics of the species, makes it difficult to understand and accept by all stakeholders. In the context of the SUDOANG project, we proposed a co-parametrization of this assessment model to tackle this mistrust. Through the use of various questionnaires and appropriate statistical analyses, stakeholders were involved in two important choices for the model (zone definition and prior construction). Regular workshops and presentations were organised to explain the model rationales and to gather feedback and expectations. The results show that stakeholders have very similar perceptions of the potential definitions of sub-areas of recruitment in south-western Europe, and these perceptions are consistent with the underlying environmental conditions. On the other hand, the stakeholders have contrasting opinions about the exploitation rates of fisheries in different river basins, and the use of their knowledge currently has little effect on GEREM estimates. More importantly, the overall approach of this study is thought to have reconstructed the trust and confidence among participants.

Australian regional areas are now receiving significant numbers of migrants from the African continent. Predominantly Anglo-Saxon communities perceive these ‘newcomers’ as physically and culturally different. Asking, however, how African migrants themselves construct relationships with local communities and build a sense of belonging in regional and rural areas is a very different question. This paper explores South Sudanese migrants’experiences conceptualising their sense of belonging in a small county town: Castlemaine, Victoria. Focus group discussions show that even with the welcoming atmosphere and support from the local community, South Sudanese migrants are still attracted to metropolitan environments that have greater diversity, feeling more at home in such settings. Using the theoretical background of a stranger, this paper argues the cities allow strangers be un-noticed letting them feel at ‘home’. Findings from the study show settings with greater diversity encourage negotiating difference openly and easing power imbalances among different groups.Finally, the locality of Castlemaine, within easy commuting distance to metropolitan Melbourne and suburbs, is considered in relation to hypermobility reducing the capacity to construct ‘bridging capital’ within such local communities.

Marker-assisted selection (MAS) and genomic selection (GS) have been used to select individuals with desirable traits. MAS used a few markers associated with a specific trait to select individuals with desirable traits, which are determined after a Genome-wide association studies (GWAS). On the contrary, GS uses a large number of markers distributed across the genome to predict the genomic breeding values for a further selection of the individuals. In general, MAS has shown a high prediction accuracy but is not suitable for traits that are controlled for multiple genes, and has another constraint, it is required the phenotypic data; on the contrary, GS has not shown the highest prediction accuracy as MAS but it takes into account the effect of multiple genes controlling a target trait and it can be used without phenotypic data. Including GWAS-selected markers in GS can enhance the reduced prediction accuracy that GS shows in comparison with MAS. Thus, the objective of this study was to compare the prediction accuracy of MAS, and some models of genomic prediction (gBLUP, gBLUP including GWAs-selected markers, and some Bayesian models such as Bayes A, Bayes B, Bayes LASSO and Bayesian Ridge Regression) with GWAS-selected markers incorporated in gBLUP in order to confirm if the incorporation of GWAS in GS increases the prediction accuracy of GS. As a model for this study, it was used data from Sorghum which has shown population structure, to evaluate if the incorporation of GWAs-selected markers into GS improves prediciton accuracy. It was used a sample of 6000 SNPs out of the 265.487 reported in the study conducted by Morris et al (2013), and also it was considered some parameters that affect the efficiency of the selection such as the size of the training population, the heritability, and the number of QTNs. The GWAS-selected SNPs were identified after using the model BLINK. The results showed that the incorporation of GWAS-selected markers enhanced the performance of the genomic selection with similar prediction accuracy as MAS, the number of QTNs and size of the training population affected the accuracy, with higher accuracy with a bigger size of the training population and with a lower number of QTNs, but it seems that the heritability does not have any impact in the model where GWAS-selected SNPs were included in gBLUP.

This paper delves into the essential role of local communities in mitigating climate change in the post-pandemic landscape, with a specific focus on Barangay Acmac, Iligan City, Philippines. Employing a qualitative research approach, the study integrates in-depth literature reviews, informal interviews with participants (B-Part 1 to B-Part 20), meticulous observations, and thematic analysis. The research has uncovered crucial insights, including variations in community climate change awareness that emphasize the necessity of comprehensive education and awareness campaigns. It highlights the significance of community-driven initiatives, adaptation, and resilience as key elements in addressing climate change. Collaborative efforts between local government officials and the community are showcased as effective instruments of climate change mitigation, yet challenges persist, including addressing the perceived powerlessness of some community members. The methodology, participants, and theoretical framework offer a robust foundation for exploring community responses to climate change. Drawing from a diverse theoretical framework, this study presents a comprehensive understanding of the climate change and pandemic intersection. The findings firmly establish that local communities are pivotal players in the global endeavor to mitigate climate change, underscoring the need for collective action, extensive education, and shared responsibility. The post-pandemic era presents a unique opportunity for local communities, policymakers, barangay officials, and residents to champion climate education, foster community-driven initiatives, and empower individuals to enact change at the grassroots level. The collaborative spirit observed in Barangay Acmac in 2022 serves as a model for communities worldwide, offering a blueprint for addressing similar challenges. Overall, this paper concludes with a resounding call to action, advocating for the recognition of local communities as the driving force in climate change mitigation, stressing that the power to combat climate change resides within these communities. The time for action is now, and local communities are the catalysts of this essential mission.

In the ever-evolving landscape of higher education, the shift to hybrid teaching approaches has introduced novel challenges and opportunities for both educators and students. This qualitative study, grounded in a robust theoretical framework, combines in-depth literature reviews, informal interviews, observations, and thematic analysis to explore the multifaceted dynamics of hybrid language learning within a College of Arts and Sciences. By investigating the experiences of twenty students (referred to as 'S-Part 1' to 'S-Part 20'), the research delves into the core theme of 'Teacher-Student Interaction in Higher Education Institutions' and unpacks nine additional themes: 'Adaptability and Resilience,' 'Flexibility and Autonomy,' 'Connectivity Challenges,' 'Feelings of Isolation,' 'Technology Competence,' 'Personalized Learning,' 'Resource Accessibility,' 'Support Mechanisms,' and 'Positive Learning Experiences.' In this study, these themes encapsulate the diverse experiences and challenges encountered by teachers and college students as they navigate the evolving educational landscape. The insights derived from the study are underpinned by a robust theoretical framework and complemented by existing scholarly literature. As we delve into these themes, it becomes evident that they shed light on not only the intricacies of hybrid language learning but also the broader educational context, offering valuable guidance for educators, institutions, students, and researchers. Based on the ample results, recommendations are presented for school administrators, teachers, students, and future researchers to enhance the quality of hybrid teaching and learning, aligning it with the demands of the post-academic era. Overall, this study contributes to the ongoing dialogue on innovative pedagogical strategies and responsive educational environments, underlining the significance of teacher-student interaction in the new normal of higher education.

In conclusion, this qualitative exploration has unveiled the profound and essential impact of music on psychological well-being, especially in the post-pandemic world. Through in-depth literature reviews, informal interviews, and observations with thirty CAS participants from SMC, the researcher uncovered ten salient themes that collectively illustrate music's multifaceted role as a potent remedy. These findings showcase how music serves as an emotional outlet, a cognitive enhancer, and a source of inspiration. The emotional depth and spiritual resonance participants associate with music underscore its capacity to address diverse human needs, making it an indispensable tool in navigating the complexities of our post-pandemic reality. Moreover, the cognitive benefits observed, such as improved concentration and focus, are particularly pertinent in the context of remote work and education, highlighting music's necessity in our daily lives. Additionally, this study emphasizes the vital role of virtual music communities in fostering social connections, even amidst physical isolation, further underscoring the enduring relevance of music in these challenging times. This research contributes to the expanding knowledge of music's impact on well-being, offering a holistic perspective encompassing spiritual, emotional, social, and cognitive dimensions. It enriches existing music psychology theories and invites further exploration into the mechanisms underpinning music's diverse effects. These insights have practical implications for fields such as mental health, education, and remote work, where music can be utilized as an essential tool for stress reduction and emotional regulation. This is highlighted further in the Suggested songs that can help sought the mind, body, spirit and soul. Looking ahead, future research could delve deeper into the long-term impact of music engagement on well-being and explore the universality of music's benefits through cross-cultural studies. Overall, music, as illuminated by this study, stands as a timeless and indispensable companion, offering solace, inspiration, vitality, and connection in the face of any contemporary challenges.

In an ever-evolving landscape of higher education institution, the College of Arts and Sciences at St. Michael's College, Iligan City, Philippines, embarked on a strategic journey to navigate the challenges and opportunities of the post-pandemic era. This study, conducted in August 2022, delves into the multifaceted dimensions of their strategic planning processes. Through qualitative methods that use intensive in-depth reviews of literature, informal interviews, observation, and thematic analysis, this research unveils a narrative of adaptation, innovation, and internationalization. It explores how the institution resiliently adapted to the COVID-19 pandemic, leveraged technological advancements to enhance educational delivery, fostered interdisciplinary collaboration at the nexus of arts and sciences, and embraced internationalization through partnerships and cultural exchange. Anchored in a robust theoretical framework, this study resonates with broader trends in higher education, echoing the global call for agile, student-centric, and forward-thinking institutions. As this institution's journey unfolds, its experiences and lessons resonate with academic leaders, administrators, faculty, students, and stakeholders, inviting reflection and dialogue on the future of higher education.

Task-Based Instruction (TBI) is a dynamic approach in tertiary language education that emphasizes the integration of authentic and meaningful tasks to enhance language learning outcomes. This study aims to explore the implementation of TBI in the Philippines, investigate its cognitive benefits and transformative nature, identify pedagogical considerations, and provide recommendations for optimization. The study employed a qualitative research design, with data collected from five private schools in Iligan City. A purposive sampling procedure was used to select 20 participants who engaged in interviews, focus group discussions, and thematic analysis. The results revealed that TBI positively influenced language proficiency, cognitive development, learner autonomy, intercultural competence, and pedagogical considerations. Participants reported enhanced language skills and increased confidence in real-life language use. They also highlighted the development of critical thinking, problem-solving, and decision-making skills through engaging in challenging tasks. TBI was found to empower learners by promoting autonomy, ownership, and self-directed learning. Additionally, it cultivated intercultural communicative competence and fostered appreciation for diverse perspectives. Pedagogical considerations included task design, clear instructions, scaffolding, and feedback, while recommendations focused on optimizing TBI, integrating technology-enhanced learning, and supporting professional development for educators. This research contributes to the growing body of literature on TBI in tertiary language education and underscores its potential for creating transformative learning experiences. The findings provide valuable insights for educators, curriculum designers, and policymakers in enhancing language education practices in the Philippines and beyond.

This research article aims to uncover the mysteries surrounding Mindanao’s cultural heritage by examining its myths, symbols, and philosophies. Through a multidisciplinary approach, this paper reveals the deeper meanings behind Mindanao’s mythology and encourages critical thinking and a deeper understanding of the connections between myth, culture, and identity.

This work discusses the relationship between foreign direct investment (FDI) and pollution in Spain using an autoregressive distributed lag regression model (ARDL) from 1961 to 2018. The authors apply the theoretical context of pollution haven/halo and conclude that FDI in Spain does not contribute to the transfer of green technologies for cleaner production, despite being included within the European environmental regulatory framework. The authors also verify the adequacy of the environmental Kuznets curve (EKC) and the Load Capacity Curve hypothesis (LCC) in the Spanish environmental context and find that income per capita has a positive effect on environmental sustainability and quality. In this sense, the further development of an efficient renewable energy infrastructure could efficiently drive to a better standards all pollution indexes in Spain, including nuclear energy production, contributing the emissions neutrality aimed by the EU by 2050.

Proteins and DNA exhibit key physical chemical properties that make them advantageous for building nanostructures with outstanding features. Both DNA and protein nanotechnology have growth notably and proved to be fertile disciplines. The combination of both types of nanotechnologies is helpful to overcome the individual weaknesses and limitations of each one, paving the way for the continuing diversification of the structural nanotechnologies. Recent studies have implemented a synergistic combination of both biomolecules to assemble unique and sophisticate protein-DNA nanostructures. These hybrid nanostructures are highly programmable and display remarkable features that create new opportunities to build in the nanoscale. This review focuses on the strategies deployed to create hybrid protein-DNA nanostructures. Here, we will discuss strategies such as polymerization, spatial directing and organizing, coating, rigidizing or folding DNA into particular shapes or moving parts. The enrichment of structural DNA nanotechnology by incorporating protein nanotechnology has been clearly demonstrated and still shows a large potential to create useful and advanced materials with cell-like properties or dynamic systems. It can be expected that structural protein-DNA nanotechnology will open new avenues in the fabrication of nano-assemblies with unique functional applications and enrich the toolbox of bionanotechnology.

This compendium presents new mathematical techniques for modeling Point Absorbers. A combined frequency-time domain framework is developed. It is used to simulate the energy generated by the wave farms. With Matlab and Fortran as a base, this leads to obtain physical variables of primary importance, namely position, velocity and power to energy net balance relationships of absorption. Integration of different degrees of freedom with heave as main executable leads in turn to a single buoy motion focus. Acquisition of the needed hydrodynamic coefficients is provided through application of potential field solvers with Boundary Element Methodology background. Initially, this Wave-to-motion model is validated by comparison with previous experimental results for a floating cone cylinder shape (Buldra-FO3). A single, generic, vertical floating cylinder is contemplated then, that responds to the action of the passing regular waves excitation. Later, two equally sized vertical floating cylinders aligned with the incident wave direction are modeled for a variable distance between the bodies. For both unidirectional regular and irregular waves as an input in deep water, we approximate the convolutive radiation force function term through the Prony method. By changing the spatial disposition of the axisymmetric buoys, using for instance triangular or rectangular shaped arrays of three and four bodies respectively, the study delves into motion characteristics for regular waves. The results highlight efficient layouts for maximizing the energy production whilst providing important insights into their performance, revealing displacement amplification- and capture width-ratios, while deriving in possible interpretations of scenarios related to the known park effect. These terms are encompassed by the novelty of a new conceptual Post-Processing methodology in the field, which leads to obtain an optimal distance for the separated bodies with effective energy absorption in a regular wave regime. The main objective is to generate a tendency within the hydrodynamic field of study, which is the Wave to motion perspective. More generally, this computational excursion envisions and depicts potential fields of study, which will surely enhance new connections and link this renewable energy form. Therefore, this research delves first into the historical and technical background on Ocean Wave Energy. Next, it is in the section regarding Materials and Methods, where boundaries and related equations are introduced step by step, together with latter mentioned case scenarios, and their corresponding configuration parameters. A separate section frames then the scope of results, while finally, there is an ensuing discussion and conclusions for evaluation assessment.

This thesis completion works it out to deepen into diverse modeling techniques for Point Absorbers. A combined frequency-time domain model is conceived, designed and developed in Matlab with Fortran as a base, leading to obtain physical variables of primary importance, namely position, velocity and power to energy net balance relationships of absorption. Integration of different degrees of freedom with heave as main executable leads in turn to a single buoy motion focus. Acquisition of the needed hydrodynamic coefficients is provided through application of NEMOH \& BEMIO solvers due to the Boundary Element Methodology. Initially, this Wave-to-motion model is validated by comparison with previous experimental results for a floating cone cylinder shape (Buldra-FO3). A single, generic, vertical floating cylinder is contemplated then, that responds to the action of the passing regular waves excitation. Later, two equally sized vertical floating cylinders aligned with the incident wave direction are modeled for a variable distance between the bodies. For both unidirectional regular and irregular waves as an input in deep water, we approximate the convolutive radiation force function term through the Prony method. By changing the spatial disposition of the axisymmetric buoys, using for instance triangular or rectangular shaped arrays of three and four bodies respectively, the study delves into motion characteristics for regular waves. The results highlight efficient layouts for maximizing the energy production whilst providing important insights into their performance, revealing displacement amplification- and capture width-ratios, while deriving in possible interpretations of scenarios related to the the known park effect. These terms are encompassed by the novelty of a new conceptual Post-Processing methodology in the field, which leads to obtain an optimal distance for the separated bodies with effective energy absorption in a regular wave regime. In conclusion, this computational excursion envisions and proposes potential fields of study, which will surely enhance new connections and link this renewable energy form.

This study presents a novel kinematic tracking model, designed for a networked exoskeleton system that is asynchronously taught by a remote therapist. On the server side, the therapist’s rehabilitation exercises are quantitatively assessed using a monocular passive vision system. The resultant analytical metrics are then transmitted asynchronously over the network to patients equipped with exoskeletons. On the client side, the exoskeleton utilizes these analytical metrics as reference paths for exercises, complemented by electromyography (EMG) feedback. This work introduces a calibration approach aimed at estimating angular positions by utilizing EMG observations. The calibration model establishes real-time correlations between polynomial reference positions. This calibration mechanism is integrated into simulations of both upper and lower limb exoskeletons. We further explore redundant kinematics, incorporating an EMG observer for linear, time-variant rehabilitation tracking control. Our methodology is validated using vision-based metric data and experimental EMG measurements for various exercises, including shoulder flexion, elbow flexion, and rowing-like movements. This work also includes computer simulations for tracking the control of rehabilitation exercises, demonstrating the adaptability of the system in reliably, robustly, and effectively following desired trajectories.

Antibiotic resistance (ABR) is concerning issue due to its direct and indirect repercusions on public health, since decreased therapeutic effect of certain antibiotic to treatment complications that can cause death. There are several mechanism as to how ABR can be transferred from one microoorganisms to another, and many of them are dependant many environmental factors. The food supply chain is a environment in which ABR gene transfer can occur is multiple pathways, which generate concerns regarding food safety. Here, we summarize relevant mechanisms which are implied in ABR in food supply chain but also we are addressing routes of transmission and prevalence of ABR, implications on public health, and the application of new alternatives to antibiotics such as antimicrobial peptides, mainly bacteriocins, in order to countermeasure ABR.

Three-dimensional (3D) and four-dimensional (4D) printing emerged as the next generation of manufacturing techniques, spanning several research areas such as engineering, chemistry, biology, computing, and materials science. Three-dimensional printing allows the manufacture of complex shapes with high precision, by adding layer by layer of different materials. The use of smart materials that change shape or color, produce an electrical current, become bioactive, or perform an intended function in response to an external stimulus. Shape memory materials (SMMs) in 3D printing technology have attracted a lot of attention due to their ability to respond to external stimuli, leading this technology towards an emerging area of research, "4D printing technology." The core part of this review summarizes the effect of the main external stimuli on 4D textile materials followed by the main applications 4D printed textiles can change their shape over time due to external stimuli such as temperature.

Gold nanoparticles, were deposited in titanium oxide (TiO2) Degussa-P25 with the Photodeposition method in the presence of UV light at different concentrations. It was determined by diffuse reflectance (DF), Scanning electron microscopy (SEM), that the Photodeposition method is effective for the inclusion of gold particles on the surface. The catalyst band gap showed a reduction to 2.9 e.V, as well as it was observed that the gold-doped catalyst shows absorption in the visible light range around 500 to 600 nm. The percentage of deposited gold nanoparticles was determined by energy dispersive spectroscopy (EDS). The experimental data were analyzed using different analytical techniques (UV-Vis spectrophotometry, TOC total organic carbon), with these results a carbon-based mass balance and reaction kinetics were generated using the Langmuir-Hinshelwood (LH-HW) heterogeneous catalysis model. For the estimation of the kinetic constants, the non-linear regression of the Levengerd Marquad algorithm was used, with these results, kinetic models of the degradation of the molecule and the generation and consumption of Organic Intermediate Products (OIP) were generated.

Inflammatory bowel diseases (IBD) represent a growing public health concern due to increasing incidence worldwide. The current notion on the pathogenesis of IBD is that genetically susceptible individuals develop intolerance to dysregulated gut microflora (dysbiosis) and chronic inflammation develops as a result of environmental triggers. Among the environmental factors associated to IBD, diet plays an important role in modulating the gut microbiome, influencing epigenetic changes and, therefore, could be applied as a therapeutic tool to improve the disease course. Nevertheless, the current dietary recommendations for disease prevention and management are scarce and of weak evidence. This review summarizes the current knowledge on the complex interactions among diet, microbiome and epigenetics in IBD. Whereas over-abundance of calories and some macronutrients increases gut inflammation, several micronutrients have the potential to modulate it. Immunonutrition has emerged as a new concept putting forward the importance of vitamins such as vitamins A, C, E, D, folic acid and beta-carotene and trace elements such as zinc, selenium, manganese and iron. However, when assessed in clinical trials, specific micronutrients exerted a limited benefit. Beyond nutrients, anti-inflammatory dietary patterns as a complex intervention approach have become popular over the recent years. Hence, exclusive enteral nutrition in pediatric Crohn’s disease is the only nutritional intervention currently recommended as a first-line therapy. Other nutritional interventions or specific diets including the Specific Carbohydrate Diet, the low fermentable oligosaccharides, disaccharides, monosaccharides, and polyol diet and most recently the Mediterranean diet have shown strong anti-inflammatory properties and provide a promise for improving disease symptoms. Definitely, more work is required to evaluate the role of individual food compounds and complex nutritional interventions with potential to decrease inflammation as means for prevention and management of IBD.

Mozambique is endemic to aflatoxigenic Aspergillus but the country has to heavily rely on foreign research to deduct what is happening locally. There is some information produced by local scholars and institutions but it needs to be “tied” together. This review briefly synthetizes the country’s major findings in relation to the toxin’s etiology, epidemiology, detection and control, discussing and meta-analyzing them as far as they allow. The causes and foods affected are the same as in most tropical countries, the toxin is widespread and the level of exposure is high. Regarding the control, it is still marginal but some institutions have driven efforts in this direction. Learning from other countries is still the best approach to take, as the solutions are probably the same for most places.

Antimicrobial resistance (AMR) is a worldwide healthcare problem. Multidrug resistant organisms (MDRO) have the ability to spread quickly owing to their resistance mechanisms. Although colonized individuals are crucial MDRO dispensers, colonizing microbes have the potential to turn pathogenic under certain conditions, leading to symptomatic infections in carriers. Carbapenemase producing Enterobacterales (CPE) are among the most important MDRO involved in infections and colonizations, associating with multiple resistance mechanisms and virulence factors, causing infections with severe outcomes. All research papers identified in the most comprehensive online databases which contained information related to the topic of this article were analyzed, and relevant data was extracted and included. The first information on CPE could be traced back to the mid-2000s, but pertinent data for many African countries was established in the past 5-8 years. Information is presented chronologically for each country. Although no clear conclusions could be drawn for some countries, it was observed that CPE colonizations are present in most African countries and carbapenem-resistance levels are rising. The most common CPE involved are Klebsiella pneumoniae and Escherichia coli, and the most prevalent carbapenemases are NDM-type and OXA-48-type enzymes. Prophylactic measures, such as screening, are required to combat this phenomenon.

Taxes on the consumption of certain products have played a key role in public revenue analysis in European countries. This work aims to assess the differences in tax planning on new non-combustion products across some European territories. Through theoretical analysis, the paper has three distinct aspects. Firstly, we show the taxpayer profile in different countries. Secondly, the study analyzes the risks for the health system and the individual. Thirdly, the design of the land tax is based on previous experience and planning in Europe. This paper concludes with a case study for different countries: 1) Spain “vapers” and “smokers”, where the analysis is based on micro-data from the European Health Interview Survey 2020. 2) Sweden with the analysis of snus, shows it as a practice to reach economic savings while decreasing economic costs thanks to the nudging of consumers towards better products. The results show taxation and, specially, land taxation, should consider differences in planning in the case of new products, such as the non-combustion products, given the user per capita income and the potential lower health risks involved.

Aflatoxins are a known cause of primary liver cancer in Mozambique since pre-independence epidemiological studies. However, their impact goes beyond the public health, affecting the country’s economy and raising legal concerns. As a developing country endemic for Aspergillus, the nation has been struggling to keep pace with external trade quality demands, delicate policy making, still dealing with the farmers’ limitations to control the contamination. The contamination shows variations over time, space and the different commodities. Considering the recommendations of the Codex Alimentarius, the major crops will be highly implicated unless there is major intervention from the authorities to control the toxins.

Energy poverty is a severe electrification challenge in Nigeria that has affected the country's economic development. The gap between electricity demand and supply continues to increase, and a large percentage of the populace affected are rural dwellers. With the prevailing electricity inaccessibility in rural, renewable energy sources (RES) present viable option for addressing rural electrification challenge. However, RES like solar have intermittency challenges since they are weather dependent. Thus, a hybrid microgrid system (HMS) comprising solar, hydropower and battery storage was sized as a feasible solution for electrifying rural areas in Nigeria. For the HMS sizing, a site was selected, whose residential load demand was estimated. The renewable energy generation potential for the selected resources at the site as well as grid reliability were assessed. Hybrid Optimisation Model for Multiple Energy Resources (HOMER) was used to size the HMS. An economic analysis was performed to determine the levelised cost of energy (LCOE) and net present cost (NPC). For the sized HMS, two scenarios were considered: off-grid and grid-connected HMS configurations. The results showed that the LCOE of the off-grid and grid-connected configurations are $0.101/kWh and $0.046/kWh, respectively. The NPC of the off-grid and grid-connected configurations are $227,307 and $145,282, respectively.

Breast cancer (BC) is a heterogeneous disease representing a substantial economic burden. In order to develop policies that successfully decrease this burden, the factors affecting costs need to be fully understood. Evidence suggests that early detection in Stage I has a lower cost than late detection. We aim to provide conservative estimates of BC's stage-wise medical costs from German healthcare and the payer's perspective. To this end, we conducted a literature review of articles evaluating stage-wise costs of BC in Germany through PubMed, Web of Science, and Econ Lit databases supplemented by Google Scholar. We developed a decision tree model to estimate BC related medical costs in Germany using available treatment and cost information. The review generated seven studies; none estimated the stage-wise costs of BC. The studies were classified into two groups: (1) case scenarios (five studies) and two studies based on administrative data. The first sickness funds data study (Gruber, Stock, et al. 2012) used 1999 information to approach BC attributable cost; their results suggest a range between €3,929 and €11,787 depending on age. The second study (Kreis, Plöthner, et al. 2020) used 2011-2014 data and suggested an initial phase incremental cost of €21,499, an intermediate phase cost of €2,620, and a terminal phase cost of €34,513 per incident case. Our decision tree model based BC stage-wise cost estimates were €21,523 for Stage I, €25,679 for Stage II, €30,156 for Stage III, €42,086 for Stage IV. Alternatively, the modeled cost estimates are €20,284 for the initial phase of care, €851 for the intermediate phase of care, and €34,963 for the terminal phase of care. Our estimates for phases of care are consistent with recent German estimates provided by Kreis and Plöthner et al. Furthermore, the data collected by sickness funds are collected primarily for reimbursement purposes, where the German ICD-10 classification system defines a cancer diagnosis. As a result, claims data lack the clinical information necessary to understand stage-wise BC costs. Our model-based estimates fill the gap and inform future economic evaluations of BC interventions.

Deoxynivalenol (DON) is a well-known mycotoxin, responsible for outbreaks of gastrointestinal disorders in Japan. Fusarium graminearum, a parasite of cereal crops, produces this toxin and this is one of the reasons why it is important to understand its metabolism. It is possible to predict the mold’s color change and the quantity of DON synthesized throughout its lifecycle. Furthermore, a_w has been found to affect the amount of DON. This study aimed to analyze the potential of F. graminearum surface color as a predictor of DON concentration at a_w = 0.94, 0.97 and 0.99. Thus, 36 specimens were incubated at 25 °C, 12 at each a_w. After 4, 8, 12 and 16 days, 3 specimens from each a_w were collected for color analysis and DON quantification. For color analysis, photos were taken and red, green and blue (RGB) channels were measured on ImageJ software. DON was quantified through liquid chromatography (HPLC). Color changes were only observed at a_w = 0.99 because at lower a_w the molds presented high growth of white mycelium. Yet, DON increased in all cases. It was only possible to relate the colors with DON concentration at a_w = 0.99, where they presented inverse proportionality.

In the century and a half since Maxwell first conjured his “finite being” which Lord Kelvin subsequently dubbed a “daemon”, researchers have explored the connections between non-equilibrium thermodynamics, entropy, and information theory. In recent years various Thermodynamic Uncertainty Relations (TURs) have been derived to inform upon the relationship between the entropy production and the precision possible in thermodynamic machines and processes. In this paper the recently derived TURs are applied to the hypothetical thermodynamic economy as described by Parker [1]. The TURs define the lower bound on the total entropy production of the economy. Changes in this entropy production rate has consequences on the stability of the economic system and plays a central role in the business cycle. This new perspective has important implications for policy makers, researchers, and other economic actors.

Gestational diabetes mellitus (GDM) triggers alterations in the maternal gut microbiome. Alongside metabolic shifts, microbial products may impact clinical factors and influence pregnancy outcomes. Here, we performed two separate analyses to integrate the maternal microbiome-metabolomic differences from a subset of the “Choosing Healthy Options in Carbohydrate Energy” (CHOICE) study. Women diagnosed with GDM were randomized to a diet higher in complex carbohydrates (CHOICE, n=18, 60% complex carbohydrate/25% fat/15% protein) or a conventional GDM diet (CONV, n=16, 40% carbohydrate/45% fat/15% protein). All meals were provided, diets were eucaloric, and fiber content was similar. CHOICE diet was associated with increases in TMAO, lysophosphotidylcholines, indoxyl sulfate, and several triglyceride (TG) species, while CONV diet was associated with higher plasma hippuric acid, aspartic acid, betaine, glutamic acid, indole propionic acid, and indoleacetic acid, suggesting that differences in lipid metabolism and tryptophan utilization pathways are linked to specific maternal diets. We also identified two latent metabolic groups not associated with either diet treatment: one metabolome associated with higher fasting glucose, and the other associated with higher fasting TGs after 7 weeks on either diet. Our study underscores the importance of utilizing dietary approaches to optimize maternal-fetal health outcomes in GDM treatment.

The wave energy converter (WEC) technology constantly develops new designs and models. To encourage its development within the energy sector, research is required to improve current designs and create durable and effective devices. However, it is also crucial to investigate the suitability of a WEC to a site-specific sea condition as this can impact its optimal power absorption and constructability. This study evaluates and compares the efficiency of a heaving buoy with varied geometries in one of the most energetic places along the Mexican coast. A statistical analysis of the wave climate on the coast of Ensenada during the last 42 years is performed to define the conditions to which the device is subjected. The location of the WEC in shallow waters is chosen using a computational model which solves the modified mild slope equation in its elliptic shape. The heaving buoy floater is studied using three distinct geometries: a semi-sphere, a cylinder, and a proposed rounded semi-rectangle. The hydrodynamic response of the three geometries is then analysed in the frequency and time domain using ANSYS AQWA. The hydrodynamic study involves the assessment of the floating body dynamics, exerted forces, the power absorbed as well as the suitability of the proposed power take-off (PTO) system. Findings reveal that the proposed geometry absorbs the most energy, with an annual power of 135.11 MW, and that the transmission PTO design is appropriate for this type of technology.

Fusarium graminearum is a cereal pathogen responsible for economic losses worldwide every year. An understanding of its growth is key to control its infection, but current growth models are limited because their size-based approach provides little information about the mold's metabolism. Recently, a RGB (red, green and blue) imaging analysis demonstrated the predictability of F. graminearum color change as it grows in yeast extract agar (YEA). This study aimed to verify the same phenomenon in oats (a_w = 0.94, 0.97 and 0.99) and rice (a_w = 0.97, 0.98 and 0.99). Photos were taken using a professional camera and a smartphone (iPhone 6) after incubation and during the subsequent 16 days, and average RGB was quantified using ImageJ software. The photos showed very similar color variations, regardless of the type of grain or a_w. The mold first adopted a k-selection strategy by growing as a mycelium and then a r-selection strategy, increasing spore production. All RGB channels showed positive Pearson correlations between them (p < 0.001) and it was possible to design a model showing two lag phases, the first prior to a mycelial phase and the second prior to a sporular phase at the end of the experiment.

Recently, coastal swamps have been acknowledged for their capability to alleviate shorelines and defend coastal communities. Mangroves play a prominent role in obstructing water currents in riverbanks, shorelines, and coastal areas. Mangrove roots have the significant contribution to the resiliency of the vegetation structure. Yet, mangrove model has lately been called into question by lab experimental evidence. In this paper, the flow characteristics past root models are reviewed. coastal swamps are among the most fruitful and carbon‐rich ecosystems on the planet. Long‐term carbon putting away in coastal wetlands happens mostly below ground as soil organic matter. Mangrove servs as a carbon sink, impacts wetland ecosystem configuration, purpose, and firmness. To expect and ease the properties of climate change, there is a necessity to advance considerate of environmental controls on wetland. The impact of four soil formation factors are reviewed. Across the shorelines, soil organic matter was highest in mangrove forests and it was lower areas.

In this work a new method is proposed to tackle down the multiple objective optimization problem of the calculation of cation distribution in spinels structure, through the difference of intensity ratios between experimental and calculated intensities of cation sensitive Bragg planes, by introducing a new factor, Rabs, in Bertaut method. This factor is introduced as the sum of absolute R factors, and it is minimized by varying cation distribution. To test this method aluminate manganese spinel where synthesized though modified Pechini method and characterized though XRD. The results show to be in agreement with literature for the aluminum inversion in tetrahedral sites, which is near to the reported value of 10%. Also, it was noticed that the manganese atoms are present in octahedral sites with a mixed valence state of +2 and +3. Which might be an indicator that oxygen vacancies are present in the structure, so the vacancies value of oxygen is proposed considering the total charge of cations and thus proposing the value of 3.678 mol per formula unit of the spinel, thus having the next stoichiometry considering normalized Al and Mn, MnAl2O3.678. Finally, the last cation distribution proposed was [Mn0.867^(+2) Al0.129^(+3) ][Mn0.034^(+2) Mn0.098^(+3) Al1.871^(+3) ] O3.678 with a Rabs factor value of 0.6466, which considers the cation distribution and oxygen vacancies.

Innovative teaching strategies are designing a new and promising landscape in education. They fill up the lessons with creativity and imagination either for the students and teachers. This article addresses an attempt to make easier the approach to science in a non-scientific environment: primary education at university level. Gamification methodologies were combined with flipped classroom in order to free up in-class time and engage the students with the taught courses. A qualitative study was merged with quantitative measures of emotional and motivational parameters. These results were improved with four semi-structured interviews. The results clearly showed a raise in the students' motivational level, an acknowledgment of good teaching practice and an evident enhancement of felt positive emotions toward science teaching and scientific issues.

Maternal obesity is increasingly prevalent and is associated with elevated morbidity and mortality rates in both mothers and children. As the interface between the mother and fetus, the placenta has mediates the impact of the maternal environment on fetal development. Most of the literature data on the effects of maternal obesity on placental functions do not exclude potential confounding factors like metabolic diseases (e.g. gestational diabetes). Moreover, it is now clear that the placental response to maternal environment depends on the fetal sex. In this context, we reviewed how maternal obesity (in the absence of gestational diabetes) affects the human placenta in terms of (i) endocrine function, (ii) morphological characteristics, (iii) nutrient exchanges and metabolism, (iv) inflammatory/immune status, (v) oxidative stress, and (vi) transcriptome, with a focus on fetal sex specificities. A better understanding of sex-specific placental responses to maternal obesity is crucial for improving pregnancy outcomes and the health of mothers and children.

This work addresses the challenge of EEG visual multiclass classification into 40 classes for Brain-Computer interface applications, by using deep learning architectures. The visual multiclass classification approach offers BCI applications a significant advantage, since it allows the supervision of more than one BCI interaction, considering that each class label supervises a BCI task. However, because of the nonlinearity and nonstationarity of EEG signals, performing multiclassifiers based on EEG features remains a significant challenge for BCI systems. In the present work, mutual information-based discriminant channel selection and Minimum-Norm Estimate algorithms are implemented to select discriminant channels and enhance EEG data. Hence, deep EEGNet and Convolutional-recurrent neural networks are implemented separately to classify EEG data of image visualization into 40 labels. By using the k-fold cross-validation approach, average classification accuracies of 94.8% and 89.8% were obtained by implementing the aforementioned network architectures, respectively. Satisfactory results obtained with this method offer a new implementation opportunity for multi-task BCI applications by utilizing a reduced number of channels (&lt;50%), compared to those presented in the related literature where the whole set of channels is used.

Pomegranate extract (PG-E) has been reported to exert a protective effect in skin due to its antioxidant activity. Ingredients rich in phenolic compounds are unstable in extract solutions and, therefore, the use of a suitable nanosystem to encapsulate this type of extract could be necessary in different biotechnological applications. Thus, we investigated the capacity of Brassica oleracea L. (cauliflower) inflorescence vesicles (CI-vesicles) to encapsulate PG-E and determined the stability and the antioxidant capacity of the system over time. In addition, the protective effect against UV radiation and heavy metals in HaCaT cells was also tested. The CI-vesicles had an entrapment efficiency around 50% and accelerated stability tests did not show significant changes in the parameters tested. The results for the HaCaT cells show the non-cytotoxicity of the CI-vesicles containing PG-E and their protection against heavy metals (lead acetate and mercuric chloride) and UV-B radiation through a reduction of oxidative stress. The reduction of the percentage of deleted mtDNA (mtDNA4977, “common deletion”) in UV-treated HaCaT cells due to the presence of CI-vesicles containing PG-E indicates the mechanism of protection. Therefore, the effects of CI-vesicles loaded with PG-E against oxidative stress support their utilization as natural cosmeceuticals to protect skin health against external damage from environmental pollution and UV radiation.

The consumption of sweet beverages, including sugar-sweetened beverages (SSB), artificially sweetened beverages (ASB) and fruit juices (FJ) is associated with the risk of different cardiometabolic diseases and probably with some tumors as well. We carried out a systematic review and meta-analysis of observational studies aimed at evaluating the association between sweet beverage intake and different types of cancer risk. Suitable papers published up to June 2020 were searched through PubMed, Web of Science and SCOPUS databases, using relevant keywords. Overall, 64 studies were identified for the systematic review, of which 27 were selected for the meta-analysis. This was performed by analyzing the multivariable-adjusted OR, RR or HR of the highest compared with the lowest sweet beverage intake categories. Random effects showed significant positive association between SSBs intake and breast (RR: 1.14, 95% CI: 1.01 – 1.30) and prostate cancer risk (RR: 1.18, 95% CI: 1.10 – 1.27), also between FJs and prostate cancer risk (RR: 1.03, 95% CI: 1.01 – 1.05). Associations between SSBs and colorectal and pancreatic cancer risk, FJs and breast, colorectal and pancreatic cancer risk, ASBs and pancreatic cancer risk tended to be positive but did not reach the statistically significant threshold. This study supports the recommendation to limit the consumption of SSBs and FJs for cancer prevention and proposes to further investigate the potential harmful role of ASBs intake in cancer risk.

We analyze the transformation of a very broad class of metrics that can be put in terms of static coordinates. Starting from a general ansatz, we obtain a relation for the parameters in which one can impose further symmetries, or restrictions. One of the simplest restrictions leads to FLRW cases, while transforming from the initial static to other static-type coordinates can lead to near horizon coordinates, Wheeler-Regge, isotropic coordinates, among others. As less restrictive cases, we show an indirect route for obtaining Kruskal-Szekeres within this approach, as well as Lema\^{\i}tre coordinates. We use Schwarzschild spacetime as prototype for testing the procedure in individual cases. However, application to other spacetimes, such as de-Sitter, Reissner-Nordstr\"{o}m or Schwarzschild de Sitter, can be readily generalized.

Centropomus undecimalis (common snook, sergeant fish or robalo) and Centropomus parallelus (fat snook, smallscale fat snook, little snook or chucumite) have tropical and subtropical wide distribution from southern Florida (Gulf of Mexico) to southern Brazil (Rio Grande do Sul) waters, and due the value of their flesh, these species have been explored with predatory fishing, generating a deficiency for their conservation. Adequate conservation of this species depends on population genetic parameters. Thus, in this study, we used microsatellite markers to investigate the genetic variability and the genetic characterization of C. undecimalis and C. parallelus populations, identifying if the citations species are geographically connected, using 10 loci of microsatellites, bringing strategies of management, sustainability, and conservation for species citations, and providing genetic subsidies needed to be used in breeding programs for snooks. Microsatellite molecular genetic markers were efficient in the study of the genetic variability of the samples of C. parallelus and C. undecimalis, resulting in data on the genetic structuring of these populations, thus aiding in their management and conservation. The data presented may provide subsidies for future use in programs aimed at animal breeding of sea bass, establishing tools for use in fish farming. In addition, despite being two species that are not on the endangered list, we can observe that there are genetic differences between the studied populations of the same species.

Abiotic stress in plants is an increasingly common problem in agriculture, and thus, studies on plant treatments with specific certain compounds that may help to mitigate these effects have increased in recent years Melatonin (MET) application and its role in mitigating the negative effects of abiotic stress in plants have become important in the last few years. MET, a derivative of tryptophan, is an important plant-related response molecule involved in the growth, development, and reproduction of plants, and the induction of different stress factors. In addition, MET plays a protective role against different abiotic stresses such as salinity, high/low temperature, high light, waterlogging, nutrient deficiency and stress combination by regulating both the enzymatic and non-enzymatic antioxidant defense systems. Also, MET interacts with many signaling molecules, among these, reactive oxygen species (ROS) and nitric oxide (NO), and participates in a wide variety of physiological reactions. It is well known that NO produces S-nitrosylation and NO2-Tyr of important antioxidant-related proteins, being this an important mechanism for maintaining the antioxidant capacity of the AsA/GSH cycle under nitro-oxidative conditions, being extensively reviewed here under different abiotic stress conditions. Lastly, in this review, we show the coordination between NO and MET as a long-range signaling molecule, regulating many responses in plants, including plant growth and abiotic stress tolerance. Despite all the knowledge acquired over the years, there is still more to know about how MET and NO act on tolerance to abiotic stresses.

The positional cloning of single nucleotide polymorphisms (SNPs) of the neutrophil cytosolic factor 1 (Ncf1) gene, advocating that a low oxidative burst drives autoimmune disease, demands an understanding of the underlying molecular causes. A cellular target could be T cells, which have been shown to be regulated by reactive oxygen species (ROS). However, the pathways by which ROS mediate T cell signaling remain unclear. The adaptor molecule linker for activation of T cells (LAT) is essential for coupling T cell receptor-mediated antigen recognition to downstream responses, and it contains several cysteine residues that have previously been suggested to be involved in redox regulation. To address the possibility that ROS regulate T cell-dependent inflammation through LAT, we established a mouse strain with cysteine-to-serine mutations at positions 120 and 172 (LATSS). We found that redox regulation of LAT through C120 and C172 mediate its localization and phosphorylation. LATSS mice had reduced numbers of double-positive thymocytes and naïve peripheral T cells. Importantly, redox insensitivity of LAT enhanced T cell-dependent autoimmune inflammation in collagen-induced arthritis (CIA), a mouse model of rheumatoid arthritis (RA). This effect was reversed on an NCF1-mutated (NCF1m1j), ROS-deficient, background. Overall, our data shows that LAT is redox-regulated, acts to repress T cell activation, and is targeted by ROS induced by NCF1 in antigen-presenting cells (APCs).

The application of the sensors optical fiber in the areas of scientific instrumentation and industrial instrumentation is very attractive due to its numerous advantages. In the industry of civil engineering for example, quasi-distributed sensors made with optical fiber are used for reliable strain and temperature measurements. Here, a quasi-distributed sensor in the frequency domain is discussed. The sensor consists of a series of low-finesse Fabry-Perot interferometers where each Fabry-Perot interferometer acts as a local sensor. Fabry-Perot interferometers are formed by pairs of identical low reflective Bragg gratings imprinted in a single mode fiber. All interferometer sensors have different cavity length, provoking the frequency-domain multiplexing. The optical signal represents the superposition of all interference patterns which can be decomposed using the Fourier transform. The frequency spectrum is analyzed and sensor´s properties were defined. Following, a quasi-distributed sensor was numerically simulated. Our sensor simulation considers sensor properties, signal processing, noise system and instrumentation. The numerical results show the behavior of resolution vs. signal-to-noise ratio. From our results, the Fabry-Perot sensor has high resolution and low resolutions. Both resolutions are conceivable because the FDPA algorithm elaborates two evaluations of Bragg wavelength shift

In this work we discuss the insights from activity landscape, docking and molecular dynamics towards the understanding of the structure-activity relationships of dual inhibitors of major epigenetic targets: lysine metiltransferase (G9a) and DNA metiltranferase 1 (DNMT1). The study was based on a novel data set of 50 published compounds with reported experimental activity for both targets. The activity landscape analysis revealed the presence of activity cliffs, e.g., pairs of compounds with high structure similarity but large activity difference. Activity cliffs were further rationalized at the molecular level by means of molecular docking and dynamics simulations that led to the identification of interactions with key residues involved in the dual activity or selectivity with the epigenetic targets.

Tomato brown rugose fruit virus (ToBRFV) is a causal agent of severe emergent diseases in Solanaceae hosts with agronomic relevance, such as tomato and pepper. Herein, we analyzed the seed transmission rate and efficacy of different seed disinfection treatments and performed a comparison of molecular biology techniques seeking rapid and sensitive detection in seed lots. We evaluated several total RNA extraction and RT-PCR protocols using a distinct combination of PCR primers to test for the presence of the ToBRFV Mexican strain in tobacco host. Our results showed that the percentage of seed and seedlings transmission was less than 1% and that a 3% sodium hypochlorite solution was effective as a seed disinfection treatment. Finally, the most sensitive molecular method identified for virus detection consisted of a CTAB-Trizol RNA extraction followed by nested PCR using primers reported by Dovas et al. (2004). Additionally, we tested potential natural hosts in selected Cucurbitaceae and Solanaceae species. Our results showed that the ToBRFV Mexican strain is capable of experimentally infecting eggplant (Solanum melongena), tomatillo (Physalis ixocarpa), and tobacco (Nicotiana rustica).

A simple underwater noise model suitable for use with explosives in the decommissioning of oil and gas subsea structures is introduced and evaluated against data from five projects in the US. The performance of the model is compared to four existing models for open water blasts, and for the severance of well conductors and piles. Simulated received underwater sound pressure levels were significantly correlated with measurements for all scenarios. The maximum total error achieved between simulations and measurements was 3.5%, suggesting that predictions are accurate to within 4% of the average measurement. A low relative bias was observed in the simulations when compared to measured values, suggesting only a small systematic underestimate (≤ 1% of average measurement) for most severance operations and a small overestimate (1.34%) for open water blasts.