Search Results (1,414,823)

Additive manufacturing (AM) enables the spatially configurable 3D integration of sensors in metal components to realize smart materials and structures. Outstanding sensing capabilities and size compatibility have made fiber optic sensors excellent candidates for integration in AM components. In this study, fiber Bragg grating (FBG) sensors were embedded in Inconel 718 tensile coupons printed using laser powder bed fusion AM. On-axis (fiber runs through the coupon’s center of axis) and off-axis (fiber is at 5° and 10° to the coupon’s center of axis) sensors were buried in epoxy resin inside narrow channels that run through the coupons. FBGs’ spectral evolutions during embedment in the coupons were examined and cyclic loading experiments were conducted to analyze and evaluate the sensor integration process, complex strain loading, process flaws, and sensing performance. This study also demonstrates that the AM process-born deficiencies such as poor surface finish and staircase effects can be detrimental to the embedded sensors and their sensing performance. Full article

The microwave heating process will involve a variety of physical phenomena, including the distribution of the electromagnetic field in the heating cavity, the heat generated by electromagnetic loss, and the transfer of heat inside the material during heating. In this paper, the simulation software COMSOL Multiphysics 5.6 based on the finite element analysis method is used to establish the microwave heating model of Al₂O₃/SiC composites and design the pinning structure of the experimental furnace for multi-mode microwave heating. From the uniformity of microwave heating of the sample and the coupling with microwave, the heating characteristics of the sample with different pin spacing, pin radius, and pin insertion depth were simulated and analyzed. This pin structure design can be used to control the heating conditions of Al₂O₃/SiC composites in microwave heating ovens to meet industrial requirements. Full article

Coastal areas often experience high population density and intense human activity owing to the considerable value of the ocean. Therefore, devices for monitoring marine disasters are crucial for ensuring the safety of human life. Herein, we develop hemispherical spring origami (SO) triboelectric nanogenerators (TENGs) (HSO-TENGs) for self-powered ocean wave monitoring. Optimization is performed using two approaches. First, swing machine experiments are conducted to investigate the monitoring performance of the HSO-TENGs regarding wave height and period with satisfactory accuracy. To increase power generation and monitoring accuracy, the internal inertia and centroid of gravity of the HSO-TENGs are optimized with respect to the structural parameters (i.e., magnet weight, hammer height, and external swing arm length). Second, numerical simulations are performed using the smoothed-particle hydrodynamics (SPH) method to determine the most suitable fixed condition for the HSO-TENGs for sensing wave changes. Subsequently, wave tank experiments are conducted on the HSO-TENGs to determine their ability to sense wave height, period, frequency, and direction. Tests related to supplying other sensors are also conducted. Eventually, the ability of the HSO-TENGs to monitor wave direction and spreading parameters is investigated in a numerical SPH circular wave tank. The results prove that the optimized HSO-TENGs can achieve powering and sensing through the same device. Full article

Background: The increase in soft tissue (ST) around implants can benefit peri-implant health and aesthetic results. The objective was to compare the gingival and esthetic health benefits of immediate implant placement (IIP) with simultaneous or delayed connective tissue graft (CTG) compared to IIP without CTG. Methods: A systematic review was carried out by two reviewers in Medline-Pubmed, Scopus, and Cochrane. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were considered. Randomized Clinical Trials (RCTs) that were published between April 2017 and February 2024 were used. Studies that analyzed the performance of a simultaneous or deferred CTG after the placement of an implant in the aesthetic zone, with or without immediate provisionalization, without previous regeneration, with a follow-up of 6 months, and that were performed in humans were included. Results: Quantitative analysis was performed using data provided by the RCTs. The five RCTs that were selected analyzed a total “n” of 245 subjects who met the inclusion criteria and focused on the subject of the study. In the quantitative analysis, four RCTs were included. The studies evaluated buccal gingiva levels when placing the IIP with and without CTG, obtaining a mean buccal gingiva level difference of 0.09 mm (95% CI: −0.54 to 0.72, p = 0.05), statistically not significant, but with a favorable trend. Conclusions: The use of CTG associated with the II can maintain the gum level but not increase the volume. CTG is favorable for achieving successful esthetic results when immediate placement of an implant with a provisional prosthesis is planned. Full article

COVID-19 is no longer a public health emergency of international concern, but long COVID’s effects are yet to be fully understood. Hence, globally, SARS-CoV-2 is still a profound threat to public health and of perilous nature as a zoonotic disease. Timely vaccination provided to individuals worldwide during the pandemic phase was under a certain degree of control; however, few studies have reported the effectiveness of vaccines administered in Mexico, and its surveillance is paramount. Furthermore, an unknown proportion of Mexican individuals have not yet received any vaccine, and the circulation of the Omicron, Pirola, and FLiRT variants is ongoing. A cross-sectional serology survey study design was employed, involving 150 individuals from Southern Mexico (Oaxaca) whose humoral immune responses after vaccination were tested by an ELISA; the receptor-binding domain of the SARS-CoV-2 spike protein served as a recombinant antigen in the ELISA. One hundred thirty-nine out of 150 individuals (92.6%; 95%-CI = 87–95%) examined were positive for the ELISA, but in 11 individuals, the vaccines did not induce any immune response. Interestingly, the immune responses (antibody prevalence and levels) of females (58%) were higher (T= −2.21; p-value = 0.02) than those of males (41%). However, in this sample population of Southern Mexico, age, vaccine type, comorbidity, and body mass index did not have any effect (p > 0.05) after COVID-19 vaccination. Taking all results together, here, we present factors that affected immune responses of individuals during the first vaccination campaign in Oaxaca, Mexico; however, vaccine surveillance during the post-pandemic phase needs further investigation. Full article

Health-related quality of life (HRQoL) is a comprehensive measure that evaluates an individual’s well-being across physical, mental, and social dimensions. Enhancing HRQoL, particularly in individuals with chronic conditions like inflammatory bowel diseases (IBD), necessitates a holistic approach. Mindfulness, a scientifically supported strategy for managing anxiety, has shown promise in improving both physical and mental health. Its benefits may be partly explained through its effects on the gut–brain axis (GBA), a bidirectional communication link between the gastrointestinal system and the central nervous system. By exploring the interplay between mindfulness and the GBA, this study aims to uncover how these elements collectively influence HRQoL in both healthy individuals and those with IBD, offering insights into potential therapeutic pathways. A cross-sectional investigation involved 338 adults, including 50 IBD patients, utilizing validated Greek scales for Mindfulness (MAAS-15), Mediterranean Diet (14-MEDAS), and HRQoL (EQ-5D-5L). The questionnaire gathered demographic, anthropometric, and lifestyle data. Among healthy participants, EQ-5D-5L showed a moderate correlation with the MAAS-15 scale (r = 0.389, p < 0.05) and a low correlation with 14-MEDAS (r = 0.131, p < 0.05). IBD patients exhibited significantly lower mean EQ-5D-5L scores than healthy individuals (0.75 vs. 0.85, p < 0.05). MAAS-15 demonstrated a robust correlation (r = 0.414, p < 0.001) with EQ-5D-5L in IBD patients. Elevated mindfulness levels emerged as predictive factors for higher HRQoL in IBD patients (OR: 1.101, 95% CI: 1.008, 1.202, p < 0.05, compared to low mindfulness). In summary, factors influencing the GBA, including mindfulness and the Mediterranean diet, exhibit positive associations with HRQoL. Increased mindfulness levels predict better HRQoL in IBD patients, emphasizing the potential for clinical trials to validate these cross-sectional study findings. Full article

The aim of the current study is to review potential molecular biomarker substances selected so far as useful for assessing the quality of dog semen. Proteins, lipids, carbohydrates, and ions can serve as molecular biomarkers of reproductive functions (BRFs) for evaluating male reproductive health and identifying potential risk factors for infertility or reproductive disorders. Evaluation of BRF levels in semen samples or reproductive tissues may provide insights into the underlying causes of infertility, such as impaired sperm function, abnormal sperm–egg interaction, or dysfunction of the male reproductive tract. Molecular biomarker proteins may be divided into two groups: proteins that are well-studied, such as A-kinase anchoring proteins (AKAPs), albumins (ALBs), alkaline phosphatase (ALPL), clusterin (CLU), canine prostate-specific esterase (CPSE), cysteine-rich secretory protein 2 (CRISP2), lactotransferrin (LTF), metalloproteinases (MMPs), and osteopontin (OPN) and proteins that are not well-studied. Non-protein markers include lipid-based substances (fatty acids, phosphatidylcholine), carbohydrates (glycosaminoglycans), and ions (zinc, calcium). Assessing the levels of BRFs in semen samples may provide valuable information for breeding management and reproductive assessments in dogs. This review systematizes current knowledge that could serve as a starting point for developing practical tests with the use of biomarkers of canine reproductive functions and their predictive value for assisted reproductive technique outcomes and semen preservation. Full article

The deployment of intelligent transportation is still in its early stages and there are many challenges that need to be addressed before it can be widely adopted. Autonomous vehicles are a class of intelligent transportation that is rapidly developing, and they are being deployed in selected cities. A combination of advanced sensors, machine learning algorithms, and artificial intelligence are being used in these vehicles to perceive their environment, navigate, and make the right decisions. These vehicles leverage extensive data sourced from various sensors and computers integrated into the vehicle. Hence, massive computational power is required to process the information from various built-in sensors in milliseconds to make the right decision. The power required by the sensors and the use of additional computational power increases the energy consumption, and, hence, could reduce the range of the autonomous electric vehicle relative to a standard electric car and lead to additional emissions. A number of review papers have highlighted the environmental benefits of autonomous vehicles, focusing on aspects like optimized driving, improved route selection, fewer stops, and platooning. However, these reviews often overlook the significant energy demands of the hardware systems—such as sensors, computers, and cameras—necessary for full autonomy, which can decrease the driving range of electric autonomous vehicles. Additionally, previous studies have not thoroughly examined the data processing requirements in these vehicles. This paper provides a more detailed review of the volume of data and energy usage by various sensors and computers integral to autonomous features in electric vehicles. It also discusses the effects of these factors on vehicle range and emissions. Furthermore, the paper explores advanced technologies currently being developed by various industries to enhance processing speeds and reduce energy consumption in autonomous vehicles. Full article

The National Park of Gran Sasso and Monti della Laga (PNGSL) is located in Central Italy and covers an area of 143.311 ha across three administrative regions (Abruzzo, Marche, and Lazio). It is the protected area hosting the highest number of vascular plants in both Europe and the Mediterranean basin. The plan of the park recognizes the need to establish a list of plants of conservation interest to prioritize for protection. The aim of this study is to identify plants (vascular and bryophytes) for inclusion on a protection list, taking into account their phytogeographic importance as well as the threat of extinction, and subsequently propose an original categorization (protection classes) suggesting specific conservation actions and measures. We used original criteria to select plants of conservation interest among the 2678 plant taxa listed in the national park. We identified 564 vascular plant species and subspecies (including nine hybrids) and one bryophyte to be included in the proposed protection list. The case study of the PNGSL could be a model for other protected areas. Full article

Background: This study aimed to delineate the interplay between depression, hopelessness, and episodic future thinking (EFT), focusing on cognitive biases towards negative future thinking that are central to depressive symptomatically. Methods: A Japanese university student was utilized to scrutinize divergences in EFT across groups stratified by varying degrees of depression and hopelessness. The research leveraged a modified future thinking task (FTT), the Beck Hopelessness Scale, and the Beck Depression Inventory-II to gauge participants’ levels of hopelessness and depressive symptoms. Results: Consistent with prior research, the non-depressed group showed a reduction in positive EFT, reinforcing the idea that diminished positive future thinking is a hallmark of depressive conditions, even in the absence of a clinical diagnosis. Moreover, individuals with comorbid depression and elevated hopelessness demonstrated a significant decrease in positive EFT and an increase in negative EFT, substantiating a distinctive cognitive profile for this subgroup. This finding suggests that the presence of hopelessness exacerbates the negative cognitive biases associated with depression. Conclusions: The study emphasizes the importance of considering hopelessness as an independent construct when assessing EFT in clinical contexts. The pronounced impact of hopelessness on future thinking in those with depression suggests that targeted interventions, such as future-directed therapy (FDT), may be particularly effective for individuals with hopelessness depression by focusing on modifying negative future thinking patterns and enhancing life quality. Full article

This study proposes a microscale flow model to estimate mean wind speed, fluctuating wind speed and wind direction over complex terrain considering the effects of topography, atmospheric stability, and turbine wakes. Firstly, the effect of topography is considered using Computational Fluid Dynamics (CFD). Next, a mesoscale model is presented to account for the effect of atmospheric stability. The effect of turbine wakes on the mean and fluctuating wind speeds are then represented by an advanced wake model. The model is validated using the measurement data of a wind farm located in the North of Japan. The measured wind data by Lidar at a reference height are horizontally extrapolated to a nearby met mast hub height and validated by a cup anemometer. Moreover, a novel averaging method is proposed to calculate a directional equivalent Monin–Obukhov length scale to account for the effect of atmospheric stability. Finally, the measured wind data at the reference height are vertically extrapolated and validated at the lidar location. The predicted mean and fluctuating wind speeds show good agreement with the measurements. Full article

A unique aspect of this research lies in the combination of polyethylene terephthalate (PET) nanofibers with Au^o@PPh₂-PIILP to create a nanogold composite (NGC). This NGC has proven to be highly efficient in removing methylene blue (MB) from wastewater. The prepared nanogold composite NGC was characterized by Fourier-transform infrared spectroscopy (FTIR), Field Emission Scanning Electron Microscopy (FE-SEM), transmission electron microscopy (TEM), Energy Dispersive X-ray Spectroscopy (EDAX), and Elements Distribution Mapping (EDM). Several factors were examined in batch adsorption experiments to determine their impact on dye adsorption. These factors included the initial pH range of four to eight, the dosage of NGC adsorbent ranging from 0.001 to 0.008 g, the initial concentration of MB dye ranging from 10 to 50 mg L⁻¹, and the contact period ranging from 10 to 80 min. It has been observed that NGC is more efficient in removing MB from polluted water. The results of the pseudo-second-order model show good agreement between the calculated adsorption capacity (q_e)_cal. (4.3840 mg g⁻¹) and the experimental adsorption capacity (q_e)_exp. (4.6838 mg g⁻¹) values. Experimental findings suggest a monolayer capping of MB dye on the NGC surface with a maximum adsorption capacity Q_m of 18.622 mg g⁻¹ at 20 °C, indicating that it is well-fitted to the Langmuir isotherm. Full article

The attitude accuracy of high-resolution satellite images is the main factor affecting their geometric positioning accuracy. Bundle block adjustment is the main method for realizing the simultaneous estimation of attitude models for overlapping images over a large area. In the current research on the joint positioning of high-resolution multi-line array satellite images, the adjustment is usually carried out with the view or load as a unit without considering the consistency of the error of the same platform. In this paper, we develop a self-calibration strip bundle adjustment scheme that considers the boresight misalignment among multiple cameras. By introducing the installation angle between multiple loads, we fully utilized their geometric constraint relationship with the same platform to establish a unified attitude compensation model for multiple loads. The experimental results of the ZiYuan3 (ZY-3) satellite image show that, when the ground control points (GCPs) are laid only at four corner points of the image, the image plane and elevation accuracies are 1.85 m and 1.87 m after an adjustment using this method, which can achieve comparable accuracies with those obtained by a traditional program based on an adjustment with more GCPs. Full article

Ginseng (Panax ginseng C. A. Meyer) is an ancient and valuable Chinese herbal medicine, and ginsenoside, as the main active ingredient of ginseng, has received wide attention because of its various pharmacological active effects. Cytochrome P450 is the largest family of enzymes in plant metabolism and is involved in the biosynthesis of terpenoids, alkaloids, lipids, and other primary and secondary plant metabolites. It is significant to explore more PgCYP450 genes with unknown functions and reveal their roles in ginsenoside synthesis. In this study, based on the five PgCYP450 genes screened in the pre-laboratory, through the correlation analysis with the content of ginsenosides and the analysis of the interactions network of the key enzyme genes for ginsenoside synthesis, we screened out those highly correlated with ginsenosides, PgCYP309, as the target gene from among the five PgCYP450 genes. Methyl jasmonate-induced treatment of ginseng adventitious roots showed that the PgCYP309 gene responded to methyl jasmonate induction and was involved in the synthesis of ginsenosides. The PgCYP309 gene was cloned and the overexpression vector pBI121-PgCYP309 and the interference vector pART27-PgCYP309 were constructed. Transformation of ginseng adventitious roots by the Agrobacterium fermentum-mediated method and successful induction of transgenic ginseng hairy roots were achieved. The transformation rate of ginseng hairy roots with overexpression of the PgCYP309 gene was 22.7%, and the transformation rate of ginseng hairy roots with interference of the PgCYP309 gene was 40%. Analysis of ginseng saponin content and relative gene expression levels in positive ginseng hairy root asexual lines revealed a significant increase in PPD, PPT, and PPT-type monomeric saponins Re and Rg2. The relative expression levels of PgCYP309 and PgCYP716A53v2 genes were also significantly increased. PgCYP309 gene promotes the synthesis of ginsenosides, and it was preliminarily verified that PgCYP309 gene can promote the synthesis of dammarane-type ginsenosides. Full article

This study introduces a novel approach for fabricating vertically stacked mini-LED arrays, integrating InGaN yellow and blue epitaxial layers with a stress buffer layer to enhance optoelectronic characteristics and structural stability. This method significantly simplifies the LED design by reducing the need for RGB configurations, thus lowering costs and system complexity. Employing vertical stacking integration technology, the design achieves high-density, efficient white light production suitable for multifunctional applications, including automotive lighting and outdoor signage. Experimental results demonstrate the exceptional performance of the stacked yellow and blue mini-LEDs in terms of luminous efficiency, wavelength precision, and thermal stability. The study also explores the performance of these LEDs under varying temperature conditions and their long-term reliability, indicating that InGaN-based yellow LEDs offer superior performance over traditional AlGaInP yellow LEDs, particularly in high-temperature environments. This technology promises significant advancements in the design and application of lighting systems, with potential implications for both automotive and general illumination markets. Full article