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17 pages, 853 KiB  
Review
Heart Transplant Rejection: From the Endomyocardial Biopsy to Gene Expression Profiling
by Anca Otilia Farcas, Mihai Ciprian Stoica, Ioana Maria Maier, Adrian Cornel Maier and Anca Ileana Sin
Biomedicines 2024, 12(8), 1926; https://doi.org/10.3390/biomedicines12081926 (registering DOI) - 22 Aug 2024
Abstract
Heart transplant prolongs life for patients with end-stage heart failure but rejection remains a complication that reduces long-term survival. The aim is to provide a comprehensive overview of the current status in HT rejection. EMB is an invasive diagnostic tool, consisting in the [...] Read more.
Heart transplant prolongs life for patients with end-stage heart failure but rejection remains a complication that reduces long-term survival. The aim is to provide a comprehensive overview of the current status in HT rejection. EMB is an invasive diagnostic tool, consisting in the sampling of a fragment of myocardial tissue from the right ventricular septum using fluoroscopic guidance. This tissue can later be subjected to histopathological, immunohistochemical or molecular analysis, providing valuable information for cardiac allograft rejection, but this procedure is not without complications. To increase the accuracy of the rejection diagnosis, EMB requires a systematic evaluation of endocardium, myocardium, interstitium and intramural vessels. There are three types of rejection: hyperacute, acute or chronic, diagnosed by the histopathological evaluation of EMB as well as by new diagnostic methods such as DSA, ddcfDNA and gene expression profiling, the last having a high negative predictive value. More than 50 years after the introduction of EMB in medical practice, it still remains the “gold standard” in monitoring rejection in HT recipients but other new, less invasive diagnostic methods reduce the number of EMBs required. Full article
(This article belongs to the Special Issue An Update on Transplantation Immunology)
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19 pages, 11368 KiB  
Article
Influence of Mineral Additives on Strength Properties of Standard Mortar
by Grzegorz Rogojsz and Tomasz Rudnicki
Materials 2024, 17(16), 4158; https://doi.org/10.3390/ma17164158 (registering DOI) - 22 Aug 2024
Abstract
In the article, the authors presented the results of research on the assessment of the effect of selected mineral additives on the strength properties of the standard mortar. The modification of the composition of the standard mortar made on the basis of CEM [...] Read more.
In the article, the authors presented the results of research on the assessment of the effect of selected mineral additives on the strength properties of the standard mortar. The modification of the composition of the standard mortar made on the basis of CEM I 42.5R cement and quartz sand consisted of using seven selected mineral additives in the form of compacted microsilica, Mikrosill microsilica, limestone flour, glass flour, glass granulate, basalt flour, and fly ash in the amounts of 10 and 20% in relation to cement as its substitute. Reducing the share of cement in the standard mortar by 10% has a beneficial effect on improving the compressive strength by over 40% with the addition of microsilica, and in the case of bending strength, even by 10%. Full article
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34 pages, 2564 KiB  
Article
Achieving More with Less: A Lightweight Deep Learning Solution for Advanced Human Activity Recognition (HAR)
by Sarab AlMuhaideb, Lama AlAbdulkarim, Deemah Mohammed AlShahrani, Hessah AlDhubaib and Dalal Emad AlSadoun
Sensors 2024, 24(16), 5436; https://doi.org/10.3390/s24165436 (registering DOI) - 22 Aug 2024
Abstract
Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fitness, and the military. Deep learning models have revolutionized HAR, however, their computational complexity, particularly those involving BiLSTMs, poses significant challenges for deployment on resource-constrained devices like smartphones. While BiLSTMs [...] Read more.
Human activity recognition (HAR) is a crucial task in various applications, including healthcare, fitness, and the military. Deep learning models have revolutionized HAR, however, their computational complexity, particularly those involving BiLSTMs, poses significant challenges for deployment on resource-constrained devices like smartphones. While BiLSTMs effectively capture long-term dependencies by processing inputs bidirectionally, their high parameter count and computational demands hinder practical applications in real-time HAR. This study investigates the approximation of the computationally intensive BiLSTM component in a HAR model by using a combination of alternative model components and data flipping augmentation. The proposed modifications to an existing hybrid model architecture replace the BiLSTM with standard and residual LSTM, along with convolutional networks, supplemented by data flipping augmentation to replicate the context awareness typically provided by BiLSTM networks. The results demonstrate that the residual LSTM (ResLSTM) model achieves superior performance while maintaining a lower computational complexity compared to the traditional BiLSTM model. Specifically, on the UCI-HAR dataset, the ResLSTM model attains an accuracy of 96.34% with 576,702 parameters, outperforming the BiLSTM model’s accuracy of 95.22% with 849,534 parameters. On the WISDM dataset, the ResLSTM achieves an accuracy of 97.20% with 192,238 parameters, compared to the BiLSTM’s 97.23% accuracy with 283,182 parameters, demonstrating a more efficient architecture with minimal performance trade-off. For the KU-HAR dataset, the ResLSTM model achieves an accuracy of 97.05% with 386,038 parameters, showing comparable performance to the BiLSTM model’s 98.63% accuracy with 569,462 parameters, but with significantly fewer parameters. Full article
(This article belongs to the Special Issue Intelligent Wearable Sensor-Based Gait and Movement Analysis)
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21 pages, 11867 KiB  
Article
Thermo-Mechanical Coupling Analysis of Inserts Supporting Run-Flat Tires under Zero-Pressure Conditions
by Cheng Xue, Liguo Zang, Fengqi Wei, Yuxin Feng, Chong Zhou and Tian Lv
Machines 2024, 12(8), 578; https://doi.org/10.3390/machines12080578 (registering DOI) - 21 Aug 2024
Viewed by 133
Abstract
The inserts supporting run-flat tire (ISRFT) is mainly used in military off-road vehicles, which need to maintain high mobility after a blowout. Regulations show that the ISRFT can be driven safely for at least 100 km at a speed of 30 km/h to [...] Read more.
The inserts supporting run-flat tire (ISRFT) is mainly used in military off-road vehicles, which need to maintain high mobility after a blowout. Regulations show that the ISRFT can be driven safely for at least 100 km at a speed of 30 km/h to 40 km/h under zero-pressure conditions. However, the ISRFT generates serious heat during zero-pressure driving, which accelerates the aging of the tire rubber and degrades its performance. In order to study the thermo-mechanical coupling characteristics of the ISRFT, a three-dimensional finite element model verified by bench tests was established. Then, the stress–strain, energy loss and heat generation of the ISRFT were analyzed by the sequential thermo-mechanical coupling method to obtain the steady-state temperature field (SSTF). Finally, four kinds of honeycomb inserts bodies were designed based on the tangent method, and the SSTF of the honeycomb and the original ISRFT were compared. The results indicated that the high-temperature region of the ISRFT is concentrated in the shoulder area. For every 1 km/h increase in velocity, the temperature at the shoulder of the tire increases by approximately 1.6 °C. The SSTF of the honeycomb ISRFT is more uniformly distributed, and the maximum temperature of the shoulder decreases by about 30 °C, but the maximum temperature of the tread increases by about 40 °C. This study provides methodological guidance for investigating the temperature and mechanical characteristics of the ISRFT under zero-pressure conditions. Full article
(This article belongs to the Section Vehicle Engineering)
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14 pages, 6462 KiB  
Article
De Novo Cancer Mutations Frequently Associate with Recurrent Chromosomal Abnormalities during Long-Term Human Pluripotent Stem Cell Culture
by Diana Al Delbany, Manjusha S. Ghosh, Nuša Krivec, Anfien Huyghebaert, Marius Regin, Mai Chi Duong, Yingnan Lei, Karen Sermon, Catharina Olsen and Claudia Spits
Cells 2024, 13(16), 1395; https://doi.org/10.3390/cells13161395 - 21 Aug 2024
Viewed by 215
Abstract
Human pluripotent stem cells (hPSCs) are pivotal in regenerative medicine, yet their in vitro expansion often leads to genetic abnormalities, raising concerns about their safety in clinical applications. This study analyzed ten human embryonic stem cell lines across multiple passages to elucidate the [...] Read more.
Human pluripotent stem cells (hPSCs) are pivotal in regenerative medicine, yet their in vitro expansion often leads to genetic abnormalities, raising concerns about their safety in clinical applications. This study analyzed ten human embryonic stem cell lines across multiple passages to elucidate the dynamics of chromosomal abnormalities and single-nucleotide variants (SNVs) in 380 cancer-related genes. Prolonged in vitro culture resulted in 80% of the lines acquiring chromosome 20q or 1q, both known for conferring an in vitro growth advantage. 70% of lines also acquired other copy number variants (CNVs) outside the recurrent set. Additionally, we detected 122 SNVs in 88 genes, with all lines acquiring at least one de novo SNV during culture. Our findings showed higher loads of both CNVs and SNVs at later passages, which were due to the cumulative acquisition of mutations over a longer time in culture, and not to an increased rate of mutagenesis over time. Importantly, we observed that SNVs and rare CNVs followed the acquisition of chromosomal gains in 1q and 20q, while most of the low-passage and genetically balanced samples were devoid of cancer-associated mutations. This suggests that recurrent chromosomal abnormalities are potential drivers for the acquisition of other mutations. Full article
(This article belongs to the Special Issue Chromosomal Instability in Health and Disease)
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17 pages, 1795 KiB  
Article
Exploring the Influence of IL-8, IL-10, Patient-Reported Pain, and Physical Activity on Endometriosis Severity
by Ionel Daniel Nati, Andrei Malutan, Razvan Ciortea, Mihaela Oancea, Carmen Bucuri, Maria Roman, Cristina Ormindean, Alexandra Gabriela Milon and Dan Mihu
Diagnostics 2024, 14(16), 1822; https://doi.org/10.3390/diagnostics14161822 - 21 Aug 2024
Viewed by 172
Abstract
Endometriosis is known to be a chronic, debilitating disease. The pathophysiological mechanisms of endometriosis development include local chronic inflammation and a certain degree of local immune deficit. We investigated the relationship between the endometriosis severity, IL-8, IL-10, BDNF, VEGF-A serum and tissue levels, [...] Read more.
Endometriosis is known to be a chronic, debilitating disease. The pathophysiological mechanisms of endometriosis development include local chronic inflammation and a certain degree of local immune deficit. We investigated the relationship between the endometriosis severity, IL-8, IL-10, BDNF, VEGF-A serum and tissue levels, patient-related pain, and physical activity in a cohort of 46 patients diagnosed with endometriosis who underwent surgery. The same panel of biomarkers was investigated in a control group of 44 reproductive-aged patients with non-endometriotic gynecological pathology who underwent surgical intervention. Our data show a high statistical significance between tissue expression of IL-8, IL-10, patient-related pain, and the severity of endometriosis. No relationship was identified between serum or tissue levels of VEGF-A and BDNF and the severity of endometriosis. These results validate the presence of local chronic inflammation and immune deficit, thereby creating, alongside other studies in the field, an opportunity for the development of innovative and personalized treatment approaches in endometriosis. Full article
(This article belongs to the Section Clinical Laboratory Medicine)
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35 pages, 2392 KiB  
Article
SAPEVO-PC: Integrating Multi-Criteria Decision-Making and Machine Learning to Evaluate Navy Ships
by Igor Pinheiro de Araújo Costa, Arthur Pinheiro de Araújo Costa, Miguel Ângelo Lellis Moreira, Marcos Alexandre Castro Junior, Daniel Augusto de Moura Pereira, Carlos Francisco Simões Gomes and Marcos dos Santos
J. Mar. Sci. Eng. 2024, 12(8), 1444; https://doi.org/10.3390/jmse12081444 - 21 Aug 2024
Viewed by 369
Abstract
The selection of a navy ship is essential to guarantee a country’s sovereignty, deterrence capabilities, and national security, especially in the face of possible conflicts and diplomatic instability. This paper proposes the integration of concepts related to multi-criteria decision making (MCDM) methodology and [...] Read more.
The selection of a navy ship is essential to guarantee a country’s sovereignty, deterrence capabilities, and national security, especially in the face of possible conflicts and diplomatic instability. This paper proposes the integration of concepts related to multi-criteria decision making (MCDM) methodology and machine learning, creating the Simple Aggregation of Preferences Expressed by Ordinal Vectors—Principal Components (SAPEVO-PC) method. The proposed method proposes an evolution of the SAPEVO family, allowing the inclusion of qualitative preferences, and adds concepts from Principal Component Analysis (PCA), aiming to simplify the decision-making process, maintaining precision and reliability. We carried out a case study analyzing 32 warships and ten quantitative criteria, demonstrating the practical application and effectiveness of the method. The generated rankings reflected both subjective perceptions and the quantitative performance data of each ship. This innovative integration of qualitative data with a quantitative machine learning algorithm ensures comprehensive and robust analyses, facilitating informed and strategic decisions. The results showed a high degree of consistency and reliability, with the top and bottom rankings remaining stable across different decision-makers’ perspectives. This study highlights the potential of SAPEVO-PC to improve decision-making efficiency in complex, multi-criteria environments, contributing to the field of marine science. Full article
(This article belongs to the Section Marine Environmental Science)
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20 pages, 4772 KiB  
Article
Spatial–Temporal Analysis of Impacts of Climate Variability on Maize Yield in Kenya
by Renish Awuor Ondiek, Mohamed Saber and Mohammed Abdel-Fattah
Agriculture 2024, 14(8), 1415; https://doi.org/10.3390/agriculture14081415 - 21 Aug 2024
Viewed by 263
Abstract
This study examined the spatial temporal impacts of climate variability on maize yield in Kenya. The maize yield data were obtained from the Kenya Maize Yield Database while climatic variable data were obtained from the Climatic Research Unit gridded Time Series (CRU TS) [...] Read more.
This study examined the spatial temporal impacts of climate variability on maize yield in Kenya. The maize yield data were obtained from the Kenya Maize Yield Database while climatic variable data were obtained from the Climatic Research Unit gridded Time Series (CRU TS) with a spatial resolution of 0.5° × 0.5°. The non-parametric Mann–Kendall and Sen’s slope tests showed no trend in the data for maximum temperature, minimum temperature and precipitation. The spatial maps patterns highlight the rampancy of wetter areas in the Lake Victoria basin and Highlands East of Rift Valley compared to other regions. Additionally, there is a decreasing trend in the spatial distribution of precipitation in wetter areas and an increasing trend in maximum temperature in dry areas, albeit not statistically significant. Spearman’s rank correlation test showed a strong positive correlation between maize yield and the climatic parameters for the Lake Victoria basin, Highlands East of Rift Valley, Coastal Strip and North Western Regions. The findings suggest that climate variability has a significant impact on maize yield for four out of six climatological zones. We recommend adoption of policies and frameworks that will augment adaptive capacity and build resilience to climatic changes. Full article
(This article belongs to the Section Ecosystem, Environment and Climate Change in Agriculture)
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15 pages, 5152 KiB  
Article
Serum TLR2 and TLR9 in Prostate Cancer Patients in Relation to EBV Status
by Dominika Sikora, Jacek Kiś, Ewa Stępień, Bartłomiej Drop and Małgorzata Polz-Dacewicz
Int. J. Mol. Sci. 2024, 25(16), 9053; https://doi.org/10.3390/ijms25169053 (registering DOI) - 21 Aug 2024
Viewed by 171
Abstract
The relationship between Toll-like receptors (TLRs) and prostate cancer (PCa) is complex due to the presence of the Epstein–Barr virus (EBV) infection, which has been identified as a predisposing factor for some cancers, including PCa. The present study aims to investigate these complex [...] Read more.
The relationship between Toll-like receptors (TLRs) and prostate cancer (PCa) is complex due to the presence of the Epstein–Barr virus (EBV) infection, which has been identified as a predisposing factor for some cancers, including PCa. The present study aims to investigate these complex links by examining the levels of selected TLRs and the potential impact of EBV infection on PCa. Therefore, we examined the serum of patients with PCa. The study compared EBV(+) patients to risk groups, the Gleason score (GS), and the T-trait. Additionally, the correlation between TLR and antibody levels was examined. The results indicated that higher levels of TLR-2 and TLR-9 were observed in more advanced PCa. The findings of this study may contribute to a deeper understanding of the role of viral infections in PCa and provide information on future strategies for the diagnosis, prevention, and treatment of these malignancies. Full article
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10 pages, 2747 KiB  
Systematic Review
Is ERAS Protocol Necessary during Ileostomy Reversal in Patients after Anterior Rectal Resection—A Systematic Review and Meta-Analysis
by Michał Kisielewski, Tomasz Stefura, Jakub Rusinek, Maciej Zając, Magdalena Pisarska-Adamczyk, Karolina Richter, Tomasz Wojewoda and Wojciech M. Wysocki
Gastroenterol. Insights 2024, 15(3), 720-729; https://doi.org/10.3390/gastroent15030051 (registering DOI) - 21 Aug 2024
Viewed by 197
Abstract
Purpose: The aim of this study is to establish whether implement ation of the ERAS protocol has a beneficial effect postoperatively after ileostomy reversal. Introduction: Loop ileostomy is commonly performed during anterior rectal resection with total mesorectal excision to protect the newly created [...] Read more.
Purpose: The aim of this study is to establish whether implement ation of the ERAS protocol has a beneficial effect postoperatively after ileostomy reversal. Introduction: Loop ileostomy is commonly performed during anterior rectal resection with total mesorectal excision to protect the newly created anastomosis. Ileostomy reversal is performed after rectal anastomoses are completely healed and can be associated with complications. The use of the ERAS protocol in elective colorectal surgery has been shown to significantly reduce the complication rate and length of hospital stay without an increased readmission rate. Methods: After PROSPERO registration (CRD42023449551), a systematic review of the following databases was carried out: MEDLINE/PubMed, EMBASE, Web of Science, and Scopus. This meta-analysis involved studies up to December 2023 without language restrictions. A random effects model meta-analysis was performed to assess complications, readmissions, and length of stay (LOS) in ileostomy reversal patients with and without ERAS protocol implementation. Results: Six articles were analyzed, and each study reported on the elements of the ERAS protocol. There was no significant difference between the ERAS and non-ERAS groups in terms of complications rate (OR = 0.98; 95%CI: 0.64–1.52; I2 = 0%). Postoperative ileus was the most prevalent adverse event in both groups. The readmission rate did not differ significantly between the groups (OR = 1.77; 95%CI: 0.85–3.50, I2 = 0%). In comparison to the control group, the LOS in the ERAS group was noticeably shorter (MD = −1.94; 95%CI: −3.38–−0.49; I2 = 77%). Conclusions: Following the ERAS protocol can result in a shorter LOS and does not increase complications or readmission rates in patients undergoing ileostomy reversal. Thus, the ERAS protocol is recommended for clinical implementation. Full article
(This article belongs to the Special Issue Novelties in Gastrointestinal Surgery)
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13 pages, 1299 KiB  
Article
Identification and Characterization of Novel Founder Mutations in NDRG1: Refining the Genetic Landscape of Charcot–Marie–Tooth Disease Type 4D in Bulgaria
by Derek Atkinson, Teodora Chamova, Ayse Candayan, Kristina Kastreva, Ognian Asenov, Ivan Litvinenko, Alejandro Estrada-Cuzcano, Els De Vriendt, Georgi Kukushev, Ivailo Tournev and Albena Jordanova
Int. J. Mol. Sci. 2024, 25(16), 9047; https://doi.org/10.3390/ijms25169047 (registering DOI) - 21 Aug 2024
Viewed by 223
Abstract
Charcot–Marie–Tooth neuropathy type 4D (CMT4D) is a rare genetic disorder of the peripheral nervous system caused by biallelic mutations in the N-Myc Downstream Regulated 1 gene (NDRG1). Patients present with an early onset demyelinating peripheral neuropathy causing severe distal muscle weakness [...] Read more.
Charcot–Marie–Tooth neuropathy type 4D (CMT4D) is a rare genetic disorder of the peripheral nervous system caused by biallelic mutations in the N-Myc Downstream Regulated 1 gene (NDRG1). Patients present with an early onset demyelinating peripheral neuropathy causing severe distal muscle weakness and sensory loss, leading to loss of ambulation and progressive sensorineural hearing loss. The disorder was initially described in the Roma community due to a common founder mutation, and only a handful of disease-causing variants have been described in this gene so far. Here, we present genetic and clinical findings from a large Bulgarian cohort of demyelinating CMT patients harboring recurrent and novel variants in the NDRG1 gene. Notably, two splice-site variants are exclusive to Bulgarian Muslims and reside in ancestral haplotypes, suggesting a founder effect. Functional characterization of these novel variants implicates a loss-of-function mechanism due to shorter gene products. Our findings contribute to a deeper understanding of the genetic and clinical heterogeneity of CMT4D and highlight novel founder mutations in the ethnic minority of Bulgarian Muslims. Full article
(This article belongs to the Special Issue New Advances in the Treatment and Diagnosis of Neuromuscular Diseases)
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15 pages, 1491 KiB  
Article
Real-World Comparison of Health-Related Quality of Life Associated with Use of Immune-Checkpoint Inhibitors in Oncology Patients
by Abdulrhman Alwhaibi, Miteb A. Alenazi, Saad D. Alnofaie, Abdullah M. Aldekhail, Rakan J. Alanazi, Sultan Alghadeer, Abdulrahman A. Alghamdi and Saleh A. Alanazi
J. Clin. Med. 2024, 13(16), 4918; https://doi.org/10.3390/jcm13164918 (registering DOI) - 20 Aug 2024
Viewed by 212
Abstract
Background: Immune checkpoint inhibitors (ICIs) offer a new treatment approach for cancer, with an improvement in patient survival. However, it remains unclear whether their use impacts the quality of life of treated patients. This study aims to compare the health-related quality of life [...] Read more.
Background: Immune checkpoint inhibitors (ICIs) offer a new treatment approach for cancer, with an improvement in patient survival. However, it remains unclear whether their use impacts the quality of life of treated patients. This study aims to compare the health-related quality of life (HRQoL) of patients treated with different anti-PD-1 and anti-PD-L1 drugs, including several single or combination therapies. Methods: This is a prospective observational study conducted with adult cancer patients who received at least one dose of anti-PD-1 or anti-PD-L1. The HRQoL of all adult patients was assessed using the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Core 30 module (QLQ-C30), version 3, Arabic version. Results: A total of 199 patients were found to be eligible for this study. Of these, 93 patients (82 on a single medication and 11 on multiple ICIs) completed the questionnaire, with a response rate of 46.7%. The majority of patients were treated with pembrolizumab (39.8%), followed by a smaller number treated with nivolumab (35.5%). Most of the patients were diagnosed with solid and advanced malignancies—88.2% (p = 0.023) and 87.1% (p = 0.021), respectively—with a significant difference between treatment groups. The median functioning score was 84.7%, with no significant difference between treatment groups (p = 0.752). Fatigue and pain were noted in >50% of patients, influencing the overall cohort’s score related to these symptoms, with scores of 88.8% and 83.3%, respectively. Although a non-significant variation was found in the scores of all combined symptoms among all groups, ranging from 82.1% to 90.4% (p = 0.931), patients receiving anti-PD-1 + anti-PD-L1 tended to more frequently complain about fatigue, pain, dyspnea, and constipation and hence, exhibited the worst, yet non-significant, scores compared to those of the other groups, with p = 0.234, p = 0.79, p = 0.704, and p = 0.86, respectively. All combined groups scored 83.3% on the global health scale. Nevertheless, the nivolumab-treated patients scored 75%, which was the worst global health score compared with those of the other groups, but this score was not statistically significant (p = 0.809). Conclusions: Our findings revealed no significant difference in the impact of different ICIs on the HRQoL of cancer patients. However, a larger number of cases would be necessary to provide a robust analysis and to yield conclusive results. Full article
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12 pages, 546 KiB  
Article
Japanese Encephalitis Virus Surveillance in U.S. Army Installations in the Republic of Korea from 2021 to 2023
by Paula Lado, Gary P. Crispell, Sung Tae Chong, Myong Sun Kim, Ashley N. Esparza, Eric Zielinski, Akira Iwami, Kelly P. Williams, John J. Eads, Kei Jimbo, Dana N. Mitzel, Lee W. Cohnstaedt, Joshua B. Richardson, Jeffrey R. Kugelman and Craig A. Stoops
Pathogens 2024, 13(8), 705; https://doi.org/10.3390/pathogens13080705 - 20 Aug 2024
Viewed by 265
Abstract
Japanese encephalitis is a disease caused by the Japanese encephalitis virus (JEV) and is a concern for U.S. military personnel stationed in the Republic of Korea (ROK). The recent literature reports a potential shift from GI to GV as the dominant genotype circulating [...] Read more.
Japanese encephalitis is a disease caused by the Japanese encephalitis virus (JEV) and is a concern for U.S. military personnel stationed in the Republic of Korea (ROK). The recent literature reports a potential shift from GI to GV as the dominant genotype circulating in east Asia. In the ROK, GV has been reported in a few Culex spp., but not in the main JEV vector, Cx. tritaeniorhynchus. The goal of this surveillance was to shed light on the current knowledge of the epidemiology of JEV in the ROK by analyzing mosquito collection data from three consecutive years, 2021–2023, and molecularly detecting and genotyping JEV in all Culex spp. collected in several military locations across the ROK. In this study, we detected only JEV GI in Cx. tritaeniorhynchus in 2021 samples. In contrast, all 2022 and 2023 positive samples were GV and detected in Cx. bitaeniorhynchus, Cx. orientalis, and Cx. pipiens. Results support a shift in JEV genotype in the ROK and suggest that for GV, Culex spp. other than Cx. tritaeniorhynchus may be playing an important role. Full article
(This article belongs to the Section Epidemiology of Infectious Diseases)
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14 pages, 5592 KiB  
Article
Studies of Fluorescence Lifetimes of Biological Warfare Agents Simulants and Interferers Using the Stroboscopic Method
by Miron Kaliszewski, Mirosław Kwaśny, Aneta Bombalska, Maksymilian Włodarski, Elżbieta Anna Trafny and Krzysztof Kopczyński
Appl. Sci. 2024, 14(16), 7332; https://doi.org/10.3390/app14167332 - 20 Aug 2024
Viewed by 242
Abstract
The fluorescence decays (FDs) of 27 dried vegetative bacteria, bacterial endospores, fungi, and pollens were measured and determined using a stroboscopic technique. Pulsed nanosecond LED sources, emitting light at wavelengths of 280, 340, and 460 nm, were used for the excitation of biological [...] Read more.
The fluorescence decays (FDs) of 27 dried vegetative bacteria, bacterial endospores, fungi, and pollens were measured and determined using a stroboscopic technique. Pulsed nanosecond LED sources, emitting light at wavelengths of 280, 340, and 460 nm, were used for the excitation of biological samples. The implicit advantages of the stroboscopic method are high sensitivity, speed of a single measurement (10–60 s), miniaturization of the device, and relatively low price compared to the typical lifetime methods. The Principal Component Analysis (PCA) method was used for chemometric analysis. It was found that the excitation at 340, 460, and data merged from 340 and 460 nm effectively separate individual groups of biological substances. These findings provide evidence that fluorescence decay data may allow the classification of the biological samples, and the FDs measurement method can be complementary to the study of fluorescence spectra. Full article
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26 pages, 75294 KiB  
Article
SOD-YOLO: Small-Object-Detection Algorithm Based on Improved YOLOv8 for UAV Images
by Yangang Li, Qi Li, Jie Pan, Ying Zhou, Hongliang Zhu, Hongwei Wei and Chong Liu
Remote Sens. 2024, 16(16), 3057; https://doi.org/10.3390/rs16163057 - 20 Aug 2024
Viewed by 326
Abstract
The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the increasing sophistication of UAV-based object-detection systems, which are now extensively utilized in civilian and military sectors. However, object detection from UAV images has numerous challenges, including significant variations in the [...] Read more.
The rapid development of unmanned aerial vehicle (UAV) technology has contributed to the increasing sophistication of UAV-based object-detection systems, which are now extensively utilized in civilian and military sectors. However, object detection from UAV images has numerous challenges, including significant variations in the object size, changing spatial configurations, and cluttered backgrounds with multiple interfering elements. To address these challenges, we propose SOD-YOLO, an innovative model based on the YOLOv8 model, to detect small objects in UAV images. The model integrates the receptive field convolutional block attention module (RFCBAM) in the backbone network to perform downsampling, improving feature extraction efficiency and mitigating the spatial information sparsity caused by downsampling. Additionally, we developed a novel neck architecture called the balanced spatial and semantic information fusion pyramid network (BSSI-FPN) designed for multi-scale feature fusion. The BSSI-FPN effectively balances spatial and semantic information across feature maps using three primary strategies: fully utilizing large-scale features, increasing the frequency of multi-scale feature fusion, and implementing dynamic upsampling. The experimental results on the VisDrone2019 dataset demonstrate that SOD-YOLO-s improves the mAP50 indicator by 3% compared to YOLOv8s while reducing the number of parameters and computational complexity by 84.2% and 30%, respectively. Compared to YOLOv8l, SOD-YOLO-l improves the mAP50 indicator by 7.7% and reduces the number of parameters by 59.6%. Compared to other existing methods, SODA-YOLO-l achieves the highest detection accuracy, demonstrating the superiority of the proposed method. Full article
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