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Combining different drugs synergistically is an essential aspect of developing effective treatments. Although there is a plethora of research on computational prediction for new combination therapies, there is limited to no research on combination therapies in the treatment of viral diseases. This paper proposes AI-based models for predicting novel antiviral combinations to treat virus diseases synergistically. To do this, we assembled a comprehensive dataset comprising information on viral strains, drug compounds, and their known interactions. As far as we know, this is the first dataset and learning model on combination therapy for viruses. Our proposal includes using a random forest model, an SVM model, and a deep model to train viral combination therapy. The machine learning models showed the highest performance, and the predicted values were validated by a t-test, indicating the effectiveness of the proposed methods. One of the predicted combinations of acyclovir and ribavirin has been experimentally confirmed to have a synergistic antiviral effect against herpes simplex type-1 virus, as described in the literature. [ABSTRACT FROM AUTHOR]

Background: Dengue virus (DENV) is the most widespread arbovirus. The World Health Organization (WHO) declared dengue one of the top 10 global health threats in 2019. However, it has been underrepresented in bibliometric analyses. This study employs bibliometric analysis to identify research hotspots and trends, offering a comprehensive overview of the current research dynamics in this field. Results: We present a report spanning from 1995 to 2023 that provides a unique longitudinal analysis of Dengue virus (DENV) research, revealing significant trends and shifts not extensively covered in previous literature. A total of 10,767 DENV-related documents were considered, with a notable increase in publications, peaking at 747 articles in 2021. Plos Neglected Tropical Diseases has become the leading journal in Dengue virus research, publishing 791 articles in this field—the highest number recorded. Our bibliometric analysis provides a comprehensive mapping of DENV research across multiple dimensions, including vector ecology, virology, and emerging therapies. The study delineates a complex network of immune response genes, including IFNA1, DDX58, IFNB1, STAT1, IRF3, and NFKB1, highlighting significant trends and emerging themes, particularly the impacts of climate change and new outbreaks on disease transmission. Our findings detail the progress and current status of key vaccine candidates, including the licensed Dengvaxia, newer vaccines such as Qdenga and TV003, and updated clinical trials. The study underscores significant advancements in antiviral therapies and vector control strategies for dengue, highlighting innovative drug candidates such as AT-752 and JNJ-1802, and the potential of drug repurposing with agents like Ribavirin, Remdesivir, and Lopinavir. Additionally, it discusses biological control methods, including the introduction of Wolbachia-infected mosquitoes and gene-editing technologies. Conclusion: This bibliometric study underscores the critical role of interdisciplinary collaboration in advancing DENV research, identifying key trends and areas needing further exploration, including host-virus dynamics, the development and application of antiviral drugs and vaccines, and the use of artificial intelligence. It advocates for strengthened partnerships across various disciplines to effectively tackle the challenges posed by DENV. [ABSTRACT FROM AUTHOR]

Background: Sugar-sweetened beverages, favored by various groups, particularly adolescents, are associated with an increasing risk of obesity and diabetes mellitus. According to preliminary research conducted at SMAN 1 Serang, approximately 60% of students have a high level of sugar-sweetened beverages consumption. Role of peers and social media exposure is considered to have an association with level of sugarsweetened beverage consumption in adolescents. Objectives: This research aimed to determine association between role of peers and social media exposure with level of sugar-sweetened beverages consumption in adolescents at SMAN 1 Serang. Methods: The analytic observational research was carried out using a cross-sectional design. The study population consisted of 1,085 students from classes X and XI, while the sample size comprised 300 students who were selected using stratified random sampling and the data obtained were analyzed with chi-square test. Independent variables were measured with a questionnaire consisting of 13 closed-ended questions, while the dependent variable was measured with a Food Frequency Questionnaire. Results: The majority of respondents had a high level of sugar-sweetened beverages consumption (54.3%), bad role of peers (55.7%), and exposure to social media (74.0%). Moreover, this research showed the association between the role of peers (p=0.0001) and social media exposure (p=0.037) with level of sugar-sweetened beverages consumption. Conclusions: This research showed a significant association between role of peers and social media exposure with level of sugar-sweetened beverages consumption in adolescents. Therefore, forming peer groups and using social media were expected to increase students' awareness, causing a substantial reduction in beverages consumption. [ABSTRACT FROM AUTHOR]

The current agriculture system has become complex and fragile in recent years. With an increase in population, the demand for food is increasing, but the resources such as arable land and water are limited, and clearing forest land for cultivation and over-extraction of groundwater are changing land-use patterns and depleting groundwater resources, which again are responsible for multiple risks in agriculture and food system. The limited land and water resources with increased global population and its demand for food have mainly stressed small farmers. The rising environment, social and economic risks such as crop disease outbreaks, climate risk causing natural hazards such as floods, famine, drought, exposure to chemicals, technology risks such as genetically modified crops, and biofuels, food demand disparities, demographic and dietary changes, financial risk, conflict and political unrest, biological diversity loss, psychological factors in long-term decision making, and emerging complexity within agriculture system network are the some of the examples of multiple risks faced by small farmers in developing nations. Understanding the link among multiple domains such as environment, soil and hydrology, science, technology, finance, psychology, nutrition, and relation and conflicts is vital to study the multiple risks associated with the agriculture system as these domains overlap. Thus, sustainable long-term solutions cannot be confined to a single discipline approach. Therefore, there is a need to understand the intertwined nature of multiple risks affecting farmers. First, the author emphasizes on understanding the interconnected nature of rising multiple risks in modern industrial agriculture and food system in terms of social, environmental, and economic dimensions, this understanding is crucial for sustainable agriculture policy framing. Second, providing policy implications that will help policy makers to develop legalize mechanism to reduce rising risk of hazards. [ABSTRACT FROM AUTHOR]

Orthoflaviviruses, including zika (ZIKV), West Nile (WNV), and dengue (DENV) virus, induce severely debilitating infections and contribute significantly to the global disease burden, yet no clinically approved antiviral treatments exist. This review offers a comprehensive analysis of small-molecule drug development targeting orthoflaviviral infections, with a focus on NS2B-NS3 inhibition. We systematically examined clinical trials, preclinical efficacy studies, and modes of action for various viral replication inhibitors, emphasizing allosteric and orthosteric drugs inhibiting NS2B-NS3 protease with in vivo efficacy and in vitro-tested competitive NS2B-NS3 inhibitors with cellular efficacy. Our findings revealed that several compounds with in vivo preclinical efficacy failed to show clinical antiviral efficacy. NS3-NS4B inhibitors, such as JNJ-64281802 and EYU688, show promise, recently entering clinical trials, underscoring the importance of developing novel viral replication inhibitors targeting viral machinery. To date, the only NS2B-NS3 inhibitor that has undergone clinical trials is doxycycline, however, its mechanism of action and clinical efficacy as viral growth inhibitor require additional investigation. SYC-1307, an allosteric inhibitor, exhibits high in vivo efficacy, while temoporfin and methylene blue represent promising orthosteric non-competitive inhibitors. Compound 71, a competitive NS2B-NS3 inhibitor, emerges as a leading preclinical candidate due to its high cellular antiviral efficacy, minimal cytotoxicity, and favorable in vitro pharmacokinetic parameters. Challenges remain in developing competitive NS2B-NS3 inhibitors, including appropriate biochemical inhibition assays as well as the selectivity and conformational flexibility of the protease, complicating effective antiviral treatment design. [ABSTRACT FROM AUTHOR]

M2-polarized, tumor-associated macrophages (TAMs) produce pro-tumorigenic and angiogenic mediators, such as interleukin-8 (IL-8) and IL-10. Leucine-rich repeat-containing protein 8 members (LRRC8s) form volume-regulated anion channels and play an important role in macrophage functions by regulating cytokine and chemokine production. We herein examined the role of LRRC8A in IL-8 and IL-10 expression in THP-1-differentiated M2-like macrophages (M2-MACs), which are a useful tool for investigating TAMs. In M2-MACs, the pharmacological inhibition of LRRC8A led to hyperpolarizing responses after a transient depolarization phase, followed by a slight elevation in the intracellular concentration of Ca2+. Both the small interfering RNA-mediated and pharmacological inhibition of LRRC8A repressed the transcriptional expression of IL-8 and IL-10, resulting in a significant reduction in their secretion. The inhibition of LRRC8A decreased the nuclear translocation of phosphorylated nuclear factor-erythroid 2-related factor 2 (Nrf2), while the activation of Nrf2 reversed the LRRC8A inhibition-induced transcriptional repression of IL-8 and IL-10 in M2-MACs. We identified the CCAAT/enhancer-binding protein isoform B, CEBPB, as a downstream target of Nrf2 signaling in M2-MACs. Moreover, among several upstream candidates, the inhibition of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase 2 (NOX2) suppressed the Nrf2–CEBPB transcriptional axis in M2-MACs. Collectively, the present results indicate that the inhibition of LRRC8A repressed IL-8 and IL-10 transcription in M2-MACs through the NOX2–Nrf2–CEBPB axis and suggest that LRRC8A inhibitors suppress the IL-10-mediated evasion of tumor immune surveillance and IL-8-mediated metastasis and neovascularization in TAMs. [ABSTRACT FROM AUTHOR]

Since the first published report of experimental kidney transplantation in dogs in 1902, there were many experimental and clinical trials of organ transplantation, with many sacrifices. After the establishment of the surgical technique and the discovery of immunosuppressive drugs, transplantation became the definitive treatment strategy for patients with terminal organ failure. However, this is not a common therapy method due to the difficulty of solving the fundamental issues behind organ transplantation, including the shortage of donor graft, potential risks of transplant surgery and economic capability. The pre- and post-transplant management of recipients is another critical issue that may affect transplant outcome. Most liver transplant recipients experience post-transplant complications, including infection, acute/chronic rejection, metabolic syndrome and the recurrence of hepatocellular carcinoma. Therefore, the early prediction and diagnosis of these complications may improve overall and disease-free survival. Furthermore, how to induce operational tolerance is the key to achieving the ultimate goal of transplantation. In this review, we focus on liver transplantation, which is known to achieve operational tolerance in some circumstances, and the mechanical similarities and differences between liver transplant immunology and fetomaternal tolerance, autoimmunity or tumor immunity are discussed. [ABSTRACT FROM AUTHOR]

For centuries, disease outbreak has posed a threat to livestock production. Corona virus disease, also known as COVID-19 is a novel disease that brought with it economic havoc and affected the livestock industry adversely. Animal Production and processing plants were heavily affected as a result of difficulty buying production inputs such as feed for animals, transportation of live animals including inter border crossing restrictions, assess to professional care, reduced workforce and decrease in supply of meat and meat products to the market. With the pandemic, importation and exportation of animals and livestock products were affected. There was reduction in the number of animals slaughtered daily and also a reduction in processing plant capacity across all species. Majority of workers in the livestock industry were infected with corona virus, which resulted to financial instability, loss of jobs as well as loss of animals. Better policies to reduce the economic loss through partial or full opening of both intra and interstate borders, providing funds to farmers, opening up processing plants and slaughtering houses will aid in cushioning the effects of the COVID-19 pandemic on the livestock industry. [ABSTRACT FROM AUTHOR]

Artificial intelligence (AI) is revolutionizing head and neck cancer (HNC) care by providing innovative tools that enhance diagnostic accuracy and personalize treatment strategies. This review highlights the advancements in AI technologies, including deep learning and natural language processing, and their applications in HNC. The integration of AI with imaging techniques, genomics, and electronic health records is explored, emphasizing its role in early detection, biomarker discovery, and treatment planning. Despite noticeable progress, challenges such as data quality, algorithmic bias, and the need for interdisciplinary collaboration remain. Emerging innovations like explainable AI, AI-powered robotics, and real-time monitoring systems are poised to further advance the field. Addressing these challenges and fostering collaboration among AI experts, clinicians, and researchers is crucial for developing equitable and effective AI applications. The future of AI in HNC holds significant promise, offering potential breakthroughs in diagnostics, personalized therapies, and improved patient outcomes. [ABSTRACT FROM AUTHOR]

Design/methodology/approach: Converting data into information and its diffusion along all organization units has become a vital survival skill. At this point, an ERP system provides an invisible network among a company's internal and external stakeholders and plays a strategic role. Moreover, ERP systems offer some advantages. For example, integrating financial, customer, and order information, speeding up production processes, and reducing stock level and order lead time. Therefore, we propose an integrated spherical fuzzy-analytical hierarchy process (SF-AHP) and spherical fuzzy-combinative distance-based assessment (SF-CODAS) framework to prioritize the best ERP software provider for the defense industry. Purpose: Despite having the advantages mentioned above, some crucial aspects must be considered while selecting an ERP package. Factors such as high cost, difficulty in installation, and security threats can be very challenging. The latter issue needs special care in the defense industry. This study aims to design an evaluation framework for the ERP selection problem in the sector. Findings: One of the pivoting defense companies in Turkey is chosen as a case study. Seven ERP systems are evaluated with the proposed model. The results show that the proposed model can be successfully implemented in a defense company context. Furthermore, a sensitivity analysis proves the robustness of the approach to varying threshold parameters in CODAS and different fuzzy weighting approaches. Originality/value: The defense professionals prioritize a different set of selection criteria than conventional manufacturing firms. The study provides a rare holistic framework for the defense industry using a hybridized SF-AHP-CODAS technique. Thus, the study may serve as reference work for the researchers and decision-makers during the digitalization journey of defense firms. [ABSTRACT FROM AUTHOR]

EpiRiskNet combines time-series data with graph and static information to enhance forecasting accuracy. This model features the SCI-Block for improved feature extraction and interaction learning, leveraging the capabilities of SCINet and Triformer to manage diverse feature scales. The model's standout attribute, scalability, is driven by Triformer's Patch Attention mechanism, ensuring efficient processing of large-scale data. EpiRiskNet was tested across several locations, including Liaoning, Chongqing, Heilongjiang, and Guangxi, where it demonstrated greater accuracy than other methods. This accuracy is crucial for effectively forecasting disease risks. The model's adaptability to various regional conditions underscores its significance in public health and epidemiology. Moreover, its modular and flexible design makes EpiRiskNet suitable for a wide range of applications that require advanced data processing and predictive analytics. [ABSTRACT FROM AUTHOR]

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During and subsequent to a natural disaster, there is an expectation that certain elements of society will continue to operate with a degree of normalcy. For example, it is expected that emergency medical services will continue to function and remain reliable for the community served. Expectations such as these are based on the presumed reliability of government and the assumption that those responsible for the relevant infrastructure will have made plans to ensure it remains functional and taken steps to mitigate known weaknesses. The COVID-19 pandemic provides a case in point. Specifically, data captured during the pandemic are now the subject of ongoing review and analysis, and the findings from such studies are being used to inform planning and preparedness for the next public health disaster. This particular study was conducted in response to circumstantial evidence indicating that frontline workers in the healthcare profession may share some of the same ambivalence towards transmission mitigation as seen in the general population when confronted with new and emerging communicable diseases. This is a concern, as when medical personnel are either unable or unwilling to take reasonable steps to protect themselves and their patients, it undermines the readiness of the essential service. To explore this situation in greater depth, the study examines the real-time responses from a sample of frontline personnel interviewed during the pandemic. The results indicate that there are a number of opportunities to improve workforce readiness to assure reliable continuity during the next outbreak, epidemic or pandemic. [ABSTRACT FROM AUTHOR]

This study investigates the synergistic effects of circular economy (CE) practices, Industry 4.0 technology, and green human resource management (HRM) practices on sustainability and performance in Indian companies. CE focuses on resource efficiency, waste minimization, and material recyclability. Industry 4.0 incorporates modern digital technologies into manufacturing, resulting in smart factories that are more efficient and flexible. Green HRM practices include implementing human resource rules that promote environmental sustainability. Using structural equation modeling (SEM) on data from 213 respondents across various Indian firms, our research reveals several novel insights, such as CE practices significantly enhancing sustainability, demonstrating their critical role in minimizing waste and improving resource management; moderating the role of Industry 4.0: Industry 4.0 technology moderates the relationship between CE practices and sustainability, and green HRM practices positively affect CE practices and sustainable performance. Moreover, the study's uniqueness stems from its comprehensive approach, which reveals that combining these three elements CE practices, Industry 4.0 technology, and green HRM creates a powerful synergy that significantly improves both sustainability efforts and overall company performance, providing actionable insights for business looking to implement more effective and integrated sustainability strategies. These findings offer a valuable roadmap for companies aiming to achieve more impactful and cohesive sustainability initiatives. [ABSTRACT FROM AUTHOR]

Engineering works greatly influence the lateral channel migration (LCM) of meandering rivers. We aimed to characterise the spatiotemporal characteristics of LCM during the last 174 years of the almost freely meandering Upper Rába (Hungary) and to identify units with distinctive LCM histories. The studied Rába’s reach has been regulated just at some points. Due to the free meandering, its length varied between 119 and 133 km. The most intensive length increase (+291 m/y) took place between 2005 and 2008, and by the end of the process, the sinuosity had reached its historical maximum (SI2018= 1.93). The mean LCM was 3.3 m/y (1844-2018). The periods with intensive channel migration (max: 24-27 m/y) were followed by periods with low migration rates. Based on local channel morphology and LCM rates, 14 units were identified. The highest LCM rate was measured in the freely migrating units (R5: 5.8 m/y; R3: 4.4 m/y and R6 4.0 m/y). [ABSTRACT FROM AUTHOR]

Background: Vaccine hesitancy is a significant barrier to achieving high vaccination rates, particularly among men who have sex with men (MSM), a group at increased risk for Mpox. This study aimed to develop and validate a Mpox vaccine hesitancy scale specifically tailored for Chinese MSM, grounded in the protection motivation theory (PMT). Methods: An online survey through snowball sampling was conducted from October 2023 to March 2024, collecting 2403 valid responses across six representative regions in China. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were conducted to evaluate the scale's construct validity, while reliability was assessed using Cronbach's α coefficient. The predictive validity of the scale was analyzed using Receiver Operating Characteristic (ROC) analysis. Results: EFA ultimately retained 22 items in the Mpox vaccination scale and identified four distinct dimensions: Maladaptive Rewards (seven items), Self-efficacy (seven items), Response Efficacy (four items), and Response Costs (four items). These dimensions were confirmed by CFA, which demonstrated satisfactory model fit indices (χ²/df = 4.382, RMSEA = 0.053, SRMR = 0.048, GFI = 0.935, CFI = 0.967, NFI = 0.958, TLI = 0.963, and IFI =0.967). All indices were within acceptable ranges. The scale exhibited good internal consistency, with a Cronbach's alpha of 0.906, and strong content validity, with an S-CVI/Ave of 0.952. The scale's predictive accuracy was evaluated using Receiver Operating Characteristic (ROC) analysis. When used to evaluate the scale's predictive accuracy, it yielded an area under the curve (AUC) of 0.854 after adjustments, indicating good predictive ability between high and low hesitancy. Conclusions: This scale provides a reliable and valid tool for assessing Mpox vaccine hesitancy among MSM and can be used to gauge Mpox vaccination intention within this group. [ABSTRACT FROM AUTHOR]

Nipah virus (NiV), of the Paramyxoviridae family, causes highly fatal infections in humans and is associated with severe neurological and respiratory diseases. Currently, no commercial vaccine is available for human use. Here, eight structure-based mammalian-expressed recombinant proteins harboring the NiV surface proteins, fusion glycoprotein (F), and the major attachment glycoprotein (G) were produced. Specifically, prefusion NiV-F and/or NiV-G glycoproteins expressed in monomeric, multimeric (trimeric F and tetra G), or chimeric forms were evaluated for their properties as sub-unit vaccine candidates. The antigenicity of the recombinant NiV glycoproteins was evaluated in intramuscularly immunized mice, and the antibodies in serum were assessed. Predictably, all homologous immunizations exhibited immunogenicity, and neutralizing antibodies to VSV-luciferase-based pseudovirus expressing NiV-GF glycoproteins were found in all groups. Comparatively, neutralizing antibodies were highest in vaccines designed in their multimeric structures and administered as bivalent (GMYtet + GBDtet) and trivalent (Ftri + GMYtet + GBDtet). Additionally, while all adjuvants were able to elicit an immunogenic response in vaccinated groups, bivalent (GMYtet + GBDtet) and trivalent (Ftri + GMYtet + GBDtet) induced more potent neutralizing antibodies when administered with oil-in-water nano-emulsion adjuvant, AddaS03. For all experiments, the bivalent GMYtet + GBDtet was the most immunogenic vaccine candidate. Results from this study highlight the potential use of these mammalian-expressed recombinant NiV as vaccine candidates, deserving further exploration. [ABSTRACT FROM AUTHOR]

This study reported the biological changes occurring after γ-irradiation of in vivo rat model and the osteochondral protective effect of Gelatine-Chitosan-Ginger (GEL-CH-GING). The results indicated that Electron Paramagnetic Resonance (EPR) Spectroscopy of GEL-CH-GING identified two paramagnetic centers with g-values of 2.19 and 2.002. Fourier Transform Infrared Spectroscopy (FTIR) analysis demonstrated an increased intensity in the peaks corresponding to C-H chains and C=O carbonyl groups. Additionally, X-ray Diffraction (XRD) analysis revealed no alteration in crystallinity. After gamma ray exposure, the rat groups have received an osteochondral defect and then were treated with GEL-CH-GING composite. Sixty days post-surgery, a significant reduction in thiobarbituric acid-reactive compounds (TBARs) was seen when compared to non-implanted rat group. Concerning oxidative stress status, GEL-CH-GIN significantly improved Superoxide Dismutase (SOD) 76 nmol/l, Catalase (CAT) 0.79 nmol/l, and Glutathione Peroxidase (GPx) 1.77 nmol/l activities in osteochondral tissue. Regarding the histomorphometric parameters of cartilaginous tissue (nCg.Th, µm), (cCg.Th, µm), (Cg. Th, µm), irradiated-GEL-CH-GIN group showed a significant increase as compared to irradiated group with 116, 74 and 188 µm, respectively (p< 0.01). The microanalysis showed a high percentage of O and C in the regenertaed osteochondral tissue and indicated the deposition of novel collagen matrix. The biomechanical behaviour showed a significantly enhanced hardness measurement (1.73±0.029 VH, p< 0.05) when compared with that of irradiated group Biochemical markers suggested an osteocartilage repair capacity. In fact, the levels of IL-1ß, IL-6, TNF-a and VEGF in the implanted rat with GEL-CH-GING composite exhibited 51±3.48, 30.05±5.18, 65.12±4.33 and 40.42±3.32 ng/l, respectively. Our findings suggested that GEL-CH-GING composite might have promising potential applications for cartilage healing. [ABSTRACT FROM AUTHOR]

In recent years, the increase due to the rise in the high yielding verities led to the high-rate application of chemicals and pesticides in the soil. These chemical fertilizers give great responses to the farmers on a short-term basis, but in the long term, they harm the soil and human health by interfering in the food chain. The use of biofertilizers is a very good alternative for crop production in a sustainable and environment-friendly manner. Numerous bacteria and fungi can be used as biofertilizers for making the essential nutrients available to the plants which are associated with the rhizosphere of different crops, either symbiotically or non-symbiotically. Zinc plays a vital role in crop growth and achieving a great yield among the various macro and micronutrients. Zinc is responsible for Auxin synthesis, chlorophyll formation, protein metabolism, carbohydrate fixation, disease and stress tolerance. Zn deficiency is a global issue that gradually lowers crop output and productivity. Using zinc solubilizing microorganisms is one of the most effective sustainable approaches to achieving higher yield and restoring soil productivity. These microorganisms solubilize the available zinc pool in the soil so plants can easily uptake zinc. Bacillus subtilis, Thiobacillus thioxidans, Rhizobium, Pantoea sp., Gluconacetobacter, Saccharomyces sp. and PGPR (Plant Growth Promoting Rhizobacteria) are involved in zinc solubilizing process and boost the soluble zinc in the soil. Using zinc solubilizers can reduce the fertilizer requirement of the crop to about 25-50% in combination with inorganic zinc fertilizers, so it reduces overall fertilizer cost. [ABSTRACT FROM AUTHOR]

Human Papillomavirus (HPV) belongs to the Papillomaviridae family and can contribute to Cervical Cancer (CC). The present study aimed to investigate the genotypic distribution and prevalence of HPV using Phosphate Buffered Saline (PBS) embedded tissue, a cervical swab and a cervical brush in Viral transport medium (VTM) from women with different genital warts with no other disease in Mosul City/Iraq. A total of 150 samples collected from women with genital warts infections were analyzed. A sequencing analysis of the amplified HPV L1 gene was made and compared with that of the National Center for Biotechnology Information (NCBI). The existence of HPV nucleic acid DNA was examined in all samples by Polymerase Chain Reaction (PCR) using MY09/MY11 and GP+5/GP+6 primers, and then HPV genotypes were identified in Macrogen (Macrogen Co., Seoul, Korea) BioEdit (version 7.2.5.0). From 150 (cervical swab, brush, and tissue) patients with genital warts, the distribution of HPV genotype frequency in females with vaginal warts was 127 patients (84.6%), 10 patients (8%) with High-Risk (HR-HPV) serotypes (4%) of each HPV (16 and 45), while the rest 117 patients (92%) with Low-Risk (LR-HPV) included 60.5% HPV11, 20.5% HPV6 and 11.% HPV10. For the first time in Mosul, Iraq, the study used PBS-embedded tissue from patients with various anogenital lesions to examine the prevalence and genotypic distribution of HPV. [ABSTRACT FROM AUTHOR]

The 2022 global mpox outbreak was driven by humanto- human transmission, but modes of transmission by sexual relationship versus sexual contact remain unclear. We evaluated sexual transmission of mpox by using monkeypox virus (MPXV) G2R-mRNA as a marker of ongoing viral replication through in vitro experiments. We analyzed clinical samples of 15 MPXV-positive patients in Italy from different biological regions by using the setup method. The presence of MPXV DNA, MPXV G2RmRNA, or both in all analyzed lesion swab samples, independent of viral load, confirmed a higher infectivity risk from skin lesions. Positivity for MPXV G2R-mRNA in nasopharyngeal swabs was associated with high MPXV load, whereas positive results for MPXV G2R-mRNA were obtained only in the 2 semen samples with the lowest MPXV loads. Our results suggest that close or skin-to-skin contact during sexual intercourse is the main route of sexual transmission and that semen is a minor driver of infection, regardless of MPXV load. [ABSTRACT FROM AUTHOR]

Background: Bean common mosaic disease (BCMD) caused by Bean common mosaic virus (BCMV) has been regarded as one of the most important seed-borne and aphid vector transmitted destructive disease of cowpea not only affecting its yield but also reducing its grain quality globally. Since the dawn of crop improvement, germplasm served as the source of resistance for various biotic stresses. Currently, host plant resistance is the best, reliable, economic and environmental friendly practice of virus disease management. The objective of this study was to assess the response of diverse cowpea germplasm against BCMV under natural and controlled conditions followed by serological and molecular detection. Methods: In this study, 85 cowpea germplasm accessions and one known BCMV susceptible (C152) and one resistant (CP55) varieties are evaluated for their response to the BCMD in augmented block design (ABD). The reaction of cowpea accessions were assessed using percent disease incidence (PDI). Transmission Electron microscopy (TEM), Direct Antigen Coating-Enzyme-linked Immunosorbent Assay (DAC-ELISA) and Reverse Transcription-Polymerase Chain Reaction (RT-PCR) were used for confirming the BCMV. Result: Natural and controlled condition screening data analysis revealed a significant difference among diverse cowpea germplasm for BCMV diseases incidence. Based on field screening at Ranchi and New Delhi (2019 and 2020) and artificial confirmation. 24 out of 85 accessions were found to be immune and confirmed through DAC-ELISA and RT-PCR. As a consequence these accessions could be a potential new source of disease resistance for BCMV in breeding programs.Further, DAC ELISA of seed coat and Embryo revealed the presence of virus in 5% and 15% of samples tested. Accession IC418505 recorded highest disease incidence (40.0%). [ABSTRACT FROM AUTHOR]

Zirconium nitride (ZrN) has attracted scientific interest due to its diverse physical and functional properties. Despite the energetic favourability of room-temperature synthesis of ZrNx, only a handful attempts have been made to understand the low-temperature synthesis protocols. In the present work, we synthesized a series of Zr–N thin films by varying partial N2 gas flow (RN2) at room temperature (300 K). The structural and compositional characteristics of resulting Zr–N films were studied. The investigation combines X-ray reflectivity (XRR), X-ray diffraction (XRD), X-ray absorption fine structure (XAFS) measurements, which includes X-ray absorption near-edge structure (XANES), extended X-ray absorption fine structure (EXAFS) and variable angle spectroscopic ellipsometer (VASE). XRR results reveal the effects of varying RN2 on deposition rate, providing insights into the formation of ZrN phase. XRD patterns reveal the structural evolution from the hcp Zr to fcc ZrN phase. Further, structural parameters, including lattice parameter and crystallite size are systematically examined, revealing high-quality nature of the films, with optimal results observed in RN2 = 5–10% samples. XAFS measurements, particularly XANES of N and Zr K-edges, provide insights into the local environment, showing a centrosymmetric structure with octahedral symmetry within the ZrN films. Shifting of pre-edge features in the XANES spectra suggests variations in the oxidation state, implying a complex interplay between Zr and N atoms within the films. Emphasizing the importance of EXAFS, this study showcases its reliability for quantitative analyses. The technique unravels atomic coordination and bond lengths within the Zr–N films, which is crucial for a comprehensive understanding of the film’s structural characteristics. VASE measurement was done to understand the optical behaviour from the real and imaginary parts of permittivity spectra. [ABSTRACT FROM AUTHOR]

This study investigated the challenges faced by non-profit organizations in alleviating unemployment in the Buffalo City Metropolitan Municipality (BCMM). Despite the efforts of these organizations, unemployment remains a persistent issue in the region. This research sought to identify the key challenges that hinder the effectiveness of non-profit organizations in addressing unemployment, including limited resources, inadequate infrastructure, poor human development, inhibitive registration process, and insufficient collaboration with government agencies. A mixed-methods approach was employed, combining both qualitative and quantitative data collection and analysis methods. The findings of this study provide valuable insights into the challenges faced by non-profit organizations and inform the development of strategies to enhance their capacity to alleviate unemployment. The study recommends that the Department of Social Development should provide support to the Non-profit organisations with finance, human development, friendly registration process, and infrastructure development to enable NPOs to create employment in the Buffalo City Metropolitan in the Eastern Cape Province, South Africa. [ABSTRACT FROM AUTHOR]

Background: The COVID‐19 pandemic, caused by the SARS‐CoV‐2 virus, has resulted in illness, deaths and societal disruption on a global scale. Societies have implemented various control measures to reduce transmission of the virus and mitigate its impact. Individual behavioural changes are crucial to the successful implementation of these measures. One commonly recommended measure to limit risk of infection is face covering. It is important to identify those factors that can predict the uptake and maintenance of face covering. Objectives: We aimed to identify and synthesise the evidence on malleable psychological and psychosocial factors that determine uptake and adherence to face covering aimed at reducing the risk of infection or transmission of COVID‐19. Search Methods: We searched various literature sources including electronic databases (Medline ALL, Child Development & Adolescent Studies, ERIC, PsycInfo, CINAHL & Web of Science), web searches, conference proceedings, government reports, other repositories of literature and grey literature. The search strategy was built around three concepts of interest including (1) context (terms relating to COVID19), (2) behaviour of interest and (3) terms related to psychological and psychosocial determinants of COVID Health‐Related Behaviours and adherence or compliance with face covering, to capture malleable determines. Searches capture studies up until October 2021. Selection Criteria: Eligibility criteria included observational studies (both retrospective and prospective) and experimental studies that measure and report malleable psychological and psychosocial determinants and handwashing at an individual level, amongst the general public. Screening was supported by the Cochrane Crowd. Studies titles and abstracts were screened against the eligibility criteria by three independent screeners. Following this, all potentially relevant studies were screened at full‐text level by the research team. All conflicts between screeners were resolved by discussion between the core research team. Data Collection and Analysis: All data extraction was managed in EPPI‐Reviewer software. All eligible studies, identified through full‐text screening were extracted by one author. We extracted data on study information, population, determinant, behaviour and effects. A second author checked data extraction on 20% of all included papers. All conflicts were discussed by the two authors until consensus was reached. We assessed methodological quality of all included studies using an adapted version of the Joanna Briggs Institute Quality appraisal tool for cross‐sectional studies. Main Results: Our initial searches yielded 23,587 results, of which 23 were included in this review. The included studies were cross‐sectional in design, came from nine countries and had a combined sample of 54,401 participants. The vast majority of studies had samples from the general public, with five of the studies focusing on specific samples. All included studies considered people over the age of 18. The quality of 10 of the studies was rated as unclear, 10 were rated as low, and 3 rated high risk of bias, predominately due to lack of reporting of recruitment, sample characteristics and methodology. Ten studies were included in the meta‐analysis and 16 in the narrative synthesis. Findings from the meta‐analysis indicated that knowledge of COVID‐19 (0.341, 95% confidence interval [CI] = 0.06, 0.530, I2 = 100%) was the malleable determinant most associated with face covering behaviour. Perceived susceptibility of COVID‐19 (r = 0.088, 95% CI = −0.004, 0.180, I2 = 80%) and COVID‐related worry and anxiety (r = 0.064, 95% CI = −0.066, 0.191, I2 = 93% had little to no effect on face covering behaviour. In the narrative synthesis, the strongest association was found between perceived benefits and effectiveness of behaviours and mask wearing behaviour. Authors' Conclusions: Understanding the effects of various malleable determinants on COVID‐related face covering can aid in the development and implementation of interventions and public health campaigns to promote face covering behaviour in potential new waves of COVID‐19 or other respiratory infections. Knowledge of COVID and perceived benefits of face coverings warrant further consideration in future research and policy. [ABSTRACT FROM AUTHOR]

Background: The COVID‐19 pandemic, caused by the SARS‐CoV‐2 virus, has resulted in illness, deaths and societal disruption on a global scale. Societies have implemented various control measures to reduce transmission of the virus and mitigate its impact. Individual behavioural changes are crucial to the successful implementation of these measures. One commonly recommended measure to limit risk of infection is frequent handwashing. It is important to identify those factors that can predict the uptake and maintenance of handwashing. Objectives: We aimed to identify and synthesise the evidence on malleable psychological and psychosocial factors that determine uptake and adherence to handwashing aimed at reducing the risk of infection or transmission of COVID‐19. Search Methods: We searched various literature sources including electronic databases (Medline ALL, Child Development & Adolescent Studies, ERIC, PsycInfo, CINAHL and Web of Science), web searches, conference proceedings, government reports, other repositories of literature and grey literature. The search strategy was built around three concepts of interest including (1) context (terms relating to COVID‐19), (2) behaviour of interest and (3) terms related to psychological and psychosocial determinants of COVID Health‐Related Behaviours and adherence or compliance with handwashing, to capture malleable determines. Searches capture studies up until October 2021. Selection Criteria: Eligibility criteria included observational studies (both retrospective and prospective) and experimental studies that measure and report malleable psychological and psychosocial determinants and handwashing at an individual level, amongst the general public. Screening was supported by the Cochrane Crowd. Titles and abstracts were screened against the eligibility criteria by three independent screeners. Following this, all potentially relevant studies were screened at full‐text level by the research team. All conflicts between screeners were resolved by discussion between the core research team. Data Collection and Analysis: All data extraction was managed in EPPI‐Reviewer software. All eligible studies, identified through full‐text screening were extracted by one author. We extracted data on study information, population, determinant, behaviour and effects. A second author checked data extraction on 20% of all included papers. All conflicts were discussed by the two authors until consensus was reached. We assessed methodological quality of all included studies using an adapted version of the Joanna Briggs Institute Quality appraisal tool for cross‐sectional studies. Main Results: Our initial searches yielded 23,587 results, of which 56 studies were included in this review. The included studies were cross sectional in design, came from 22 countries and had a combined sample of 199,376 participants. The vast majority of studies had samples from the general public, with eight of the studies focusing on specific samples. All included studies considered people over the age of 18. The quality of the majority of the studies was good (n = 30 rated low risk of bias), with 8 rated high risk of bias, predominately due to lack of reporting of recruitment, sample characteristics and methodology. Thirty‐four studies were included in the narrative synthesis and 28 in the meta‐analysis. Findings indicated that emotions about COVID‐19 (worry [0.381, confidence interval [CI] = 0.270–0.482, I2 = 92%) and anxiety (0.308, CI = 0.154–0.448, I2 = 91%]), knowledge of COVID‐19 (0.323, CI = 0.223–0.417, I2 = 94%), and perceived social norms (0.303, CI = 0.184–0.413, I2 = 92%) were among the malleable determinants most associated with handwashing. Perceived severity (0.006, CI = ‐0.011–0.023) and susceptibility of COVID‐19 (0.041, CI = −0.034 to 0.115) had little to no effect on handwashing behaviour. Authors' Conclusions: Understanding the effects of various malleable determinants on COVID‐related handwashing can aid in the development and implementation of interventions and public health campaigns to promote handwashing behaviour in potential new waves of COVID‐19 or other respiratory infections. Emotions about COVID, knowledge of COVID and perceived social norms warrant further consideration in future research and policy. [ABSTRACT FROM AUTHOR]

Diseases transmitted naturally between animals and humans are referred to as zoonoses. Zoonotic diseases are responsible for many pathogenic infections in humans, especially in endemic regions. In recent years, emerging and re-emerging zoonotic infections have become widespread and pose a threat worldwide. Transmitted such bacterial, viral and parasitic infections have been detected in Northen Cyprus over the years. Climate change and human migration are increasing essentially, making such infections potentially more dangerous. To quickly detect these pathogens and limit their spread, it is crucial for the island to control their animal reservoirs. In addition, continued and expanded research is essential for global surveillance. This review aimed to provide an overview of the etiology of the most recorded zoonotic diseases in Northen Cyprus, their impact on human health, and measures to control their spread better. [ABSTRACT FROM AUTHOR]

Background and Aims: Highly cited papers (HCPs) can influence both research and clinical practice. They help to identify core literature and important advances in a field. This study aimed to assess the current status and prospects of South Asia COVID-19 research from the HCPs using bibliometric indicators. Methodology: COVID-19 literature from South Asia published between December 2019 and 29 November 2023 in the Scopus database was analysed. The top HCPs, having more than 200 citations, were evaluated. Information about citation counts, authors and organisations and their affiliations, year of publication, source journal, geographical origin, subject, article type, funding details, etc. were retrieved and analysed. Data and visualisation analysis was undertaken using Microsoft Excel and other bibliometric software. Results: The 298 South Asia HCPs were published from 2020 to 2023 and were cited 200–3,596 times, with a mean average of 413.9 citations per paper (CPP). Around 24.5% and 51.3% of HCPs received external funding support and were involved in international collaboration, respectively. The most productive organisations were the Postgraduate Institute of Medical Education and Research, Chandigarh, and the Indian Institute of Technology, New Delhi, while the most impactful organisations were Bai Jerbai Wadia Hospital for Children, Mumbai, and Kokilaben Dhirubhai Ambani Hospital & Medical Research Institute, Mumbai. The most productive journals were Diabetes and Metabolic Syndrome: Clinical Research & Reviews. Conclusions: This study has identified core and significant authors, organisations, journals, subject fields and significant keywords, collaborators and funding agencies involved in South Asia's COVID-19 research. [ABSTRACT FROM AUTHOR]

The precise regulation of pH homeostasis is crucial for normal physiology. However, in tissue microenvironments, it can be impacted by pathological conditions such as inflammation and cancer. Due to the overproduction and accumulation of acids (protons), the extracellular pH is characteristically more acidic in inflamed tissues and tumors in comparison to normal tissues. A family of proton-sensing G-protein-coupled receptors (GPCRs) has been identified as molecular sensors for cells responding to acidic tissue microenvironments. Herein, we review the current research progress pertaining to these proton-sensing GPCRs, including GPR4, GPR65 (TDAG8), and GPR68 (OGR1), in inflammation and cancer. Growing evidence suggests that GPR4 and GPR68 are mainly pro-inflammatory, whereas GPR65 is primarily anti-inflammatory, in various inflammatory disorders. Both anti- and pro-tumorigenic effects have been reported for this family of receptors. Moreover, antagonists and agonists targeting proton-sensing GPCRs have been developed and evaluated in preclinical models. Further research is warranted to better understand the roles of these proton-sensing GPCRs in pathophysiology and is required in order to exploit them as potential therapeutic targets for disease treatment. [ABSTRACT FROM AUTHOR]

Oropouche Virus (OROV; genus of Orthobunyavirus) is the causal agent of Oropouche Fever (OF). Due to the lack of specific signs and symptoms and the limited availability of diagnostic tests, the actual epidemiology of OROV infections and OF has been extensively disputed. In this systematic review with meta-analysis, a literature search was carried out in PubMed, Scopus, EMBASE, and MedRxiv in order to retrieve relevant articles on the documented occurrence of OROV infections. Pooled detection rates were then calculated for anti-OROV antibodies and virus detection (i.e., viral RNA detected by viral cultures and/or real-time polymerase chain reaction [RT-qPCR]). Where available, detection rates for other arboviruses (i.e., Dengue [DENV], Chikungunya [CHKV], and Zika Virus [ZIKV]) were calculated and compared to those for OROV. A total of 47 studies from South America and the Caribbean were retrieved. In individuals affected by febrile illness during OROV outbreaks, a documented prevalence of 0.45% (95% confidence interval [95%CI] 0.16 to 1.12) for virus isolation, 12.21% (95%CI 4.96 to 27.09) for seroprevalence (including both IgM and IgG class antibodies), and 12.45% (95%CI 3.28 to 37.39) for the detection of OROV-targeting IgM class antibodies were eventually documented. In the general population, seroprevalence was estimated to be 24.45% (95%CI 7.83 to 55.21) for IgG class antibodies. The OROV detection rate from the cerebrospinal fluids of suspected cases of viral encephalitis was estimated to be 2.40% (95%CI 1.17 to 5.03). The occurrence of OROV infections was consistently lower than that of DENV, CHKV, and ZIKV during outbreaks (Risk Ratio [RR] 24.82, 95%CI 21.12 to 29.16; RR 2.207, 95%CI 1.427 to 3.412; and RR 7.900, 95%CI 5.386 to 11.578, respectively) and in the general population (RR 23.614, 95%CI 20.584 to 27.129; RR 3.103, 95%CI 2.056 to 4.685; and RR 49.500, 95%CI 12.256 to 199.921, respectively). In conclusion, our study stresses the possibly high underestimation of OROV prevalence in the general population of South America, the potential global threat represented by this arbovirus infection, and the potential preventive role of a comprehensive "One Health approach". [ABSTRACT FROM AUTHOR]

Cedar henipavirus (CedV), which was isolated from the urine of pteropodid bats in Australia, belongs to the genus Henipavirus in the family of Paramyxoviridae. It is closely related to the Hendra virus (HeV) and Nipah virus (NiV), which have been classified at the highest biosafety level (BSL4) due to their high pathogenicity for humans. Meanwhile, CedV is apathogenic for humans and animals. As such, it is often used as a model virus for the highly pathogenic henipaviruses HeV and NiV. In this study, we challenged eight Rousettus aegyptiacus fruit bats of different age groups with CedV in order to assess their age-dependent susceptibility to a CedV infection. Upon intranasal inoculation, none of the animals developed clinical signs, and only trace amounts of viral RNA were detectable at 2 days post-inoculation in the upper respiratory tract and the kidney as well as in oral and anal swab samples. Continuous monitoring of the body temperature and locomotion activity of four animals, however, indicated minor alterations in the challenged animals, which would have remained unnoticed otherwise. [ABSTRACT FROM AUTHOR]

Background: Obstructive Sleep Apnea (OSA) is a prevalent disorder characterized by repetitive upper airway obstructions during sleep, leading to intermittent hypoxia and sleep fragmentation. Current treatments, particularly Continuous Positive Airway Pressure (CPAP), face adherence challenges, necessitating novel therapeutic approaches. Methods: This review explores the potential of Glucagon-like Peptide-1 receptor agonists (GLP-1RA), commonly used for type 2 diabetes and obesity, in managing OSA. GLP-1RA promotes weight loss, enhances insulin sensitivity, and exhibits anti-inflammatory and neuroprotective properties, potentially addressing key pathophysiological aspects of OSA. Results: Emerging evidence suggests that these agents may reduce OSA severity by decreasing upper airway fat deposition and improving respiratory control. Clinical trials have demonstrated significant reductions in the Apnea-Hypopnea Index (AHI) and improvements in sleep quality with GLP-1 therapy. Conclusions: Future research should focus on elucidating the mechanisms underlying GLP-1 effects on OSAS, optimizing combination therapies, and identifying patient subgroups that may benefit the most. Integrating GLP-1RA into OSAS management could revolutionize treatment by addressing both the metabolic and respiratory components of the disorder, ultimately enhancing patient outcomes. [ABSTRACT FROM AUTHOR]

Among all the abiotic factors affecting maize yield, drought stress is the most destructive one. Since drought tolerance is a complicated trait that is difficult to quantify, screening for stress involves measuring the effects of stress on several traits, most notably plant yield. Selection using the drought tolerance indices is an easy way to identify the stable and tolerant genotypes based on yield performances alone. The current study aims to identify suitable maize hybrids with high drought tolerance. A total of 30 maize-teosinte hybrids and 3 checks were raised under optimal and water-stressed environments and were screened using twelve different drought tolerance indices. It was observed that the inter-racial hybrids viz., G24, G27, and G29 were better than the drought tolerant Zea mays ssp. mays check C3 for yield and most of the indices. The indices STI, TOL, GMP, MP, YI, DI, SSPI, K1 STI, and K2 STI were observed to be significantly correlated with yield under stress and optimal environments. Based on the yield both environments, the genotypes were classified under four groups, with Group A consisting of genotypes with high yields under both environments. The indices Stress Tolerance Index (STI), Geometric Mean Productivity (GMP), Yield Index (YI), and Modified Stress Tolerance Index (K2 STI) were identified for their ability to discriminate Group A from the other genotypes and these indices could be utilized to screen for drought tolerance with high yield. Component Analysis revealed two principal components contributing up to 98.15 percent of the cumulative variation. The PCA biplot identified the hybrids viz., G24, G27, G14, G19, and G25 as tolerant ones. Based on the index scores, the hybrids viz., G27, G29, G17, G20, and G24 were identified as the top-ranking genotypes, with high and more stable yields under both stress and optimal environments. [ABSTRACT FROM AUTHOR]

The significance of Pantoea agglomerans bacteria in diseases linked to healthcare is underappreciated due to a shortage of information on their spread. This is the first study in Saudi Arabia to examine the possible contribution of medical students' cell phones (CPs) to the transmission of P. agglomerans to hospitalized patients and to evaluate their antibiotic susceptibility profiles. In total, 250 CPs were swabbed. P. agglomerans was isolated and identified using standard techniques. The suspected colonies were confirmed by the Vitek 2 compact system. The isolates' antimicrobial susceptibility profiles were assessed using Epsilon assays, and the results were interpreted according to Clinical and Laboratory Standards Institute guidelines. The frequency of P. agglomerans contamination of CPs was found to be relatively high (20.40%; 51 isolates/250 samples). Many isolates showed varying degrees of reduced sensitivity to ampicillin, aztreonam, cefazolin, cefotaxime, cefuroxime, and ertapenem antibiotics. To implement optimal infection prevention and control policies regarding the possibility of antibiotic-resistant P. agglomerans transmission through medical students' contact points with hospitalized patients during their frequent activities in healthcare settings, health policymakers may find value in utilizing this study's results. [ABSTRACT FROM AUTHOR]

SUMMARY: Accounting firms have invested significant resources in diversity initiatives related to recruiting, retention, and promotion. Audit regulators suggest these efforts can have positive repercussions on audit quality. This article summarizes the key findings by Condie, Lisic, Seidel, Truelson, and Zimmerman (2023) (CLSTZ) regarding the influence of a more diverse group of audit partners within an audit office on office-level outcomes. Specifically, CLSTZ examines whether gender and ethnic diversity among audit partners within an office influences audit personnel retention and audit quality. CLSTZ finds that greater diversity (greater changes in diversity) among an office's audit partners is associated with less (reduced) turnover among the audit professionals in that office and higher (increased) audit quality. These findings provide empirical evidence regarding the influence of a more diverse group of office audit partners on office-level outcomes and have important implications for accounting firms. JEL Classifications: M41; M42. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to compare the effectiveness of the Quick COVID-19 Severity Index (qCSI) and the COVID-GRAM Critical Illness Risk Score (CGCIRS) in identifying critically ill patients with COVID-19 admitted to the emergency department of a tertiary hospital. Methods: Patients over 18 years of age with a positive PCR test who presented to the Emergency Department of Bursa Yüksek İhtisas Training and Research Hospital between 15.03.2020 and 15.03.2021 with COVID-19 findings were retrospectively included in the study. Mortality, qCSI (respiratory rate per minute, oxygen saturation, oxygen demand per minute), and CGCIRS (x-ray abnormality, age, hemoptysis, dyspnea, impaired consciousness, comorbid disease, presence of cancer, neutrophil/lymphocyte ratio, lactate dehydrogenase (LDH) value, direct bilirubin value) were investigated within 1, 7 and 28 days. Results: A total of 1499 patients with a positive COVID-19 PCR test were included in the study. Invasive mechanical ventilation was performed in 44 (2.9%) and non-invasive mechanical ventilation in 63 (4.2%) patients. 57 (3.8%) patients were hospitalized in the intensive care unit (ICU). Mortality occurred in the first 24 hours in 1 (0.1%) and 28 days in 41 (2.7%) patients. Having comorbidities, use of 10 lt/min oxygen, use of high flow oxygen, need for non-invasive and invasive mechanical ventilation, and need for ICU were found to increase 28-day mortality significantly. The qCSI and CGCIRS were found to be significantly different in patients who developed 28-day mortality with qCSI and CGCIRS, respectively (p<0.001), (p<0.001). In the ROC analysis for 28-day mortality, the area under the curve (AUC) value of qCSI was 0.966 [(95% CI: 0.934-0.998), (p<0.001)] and the AUC value of CGCIRS was 0.971 [(95% CI: 0.959-0.983), (p<0.001)]. qCSI had a sensitivity of 97.6% and specificity of 84% with a cut-off value of 4.5 for 28-day mortality; CGCIRS had a sensitivity of 95.1% and specificity of 91.2% with a cut-off value of 116.5 for 28-day mortality. Conclusions: This study demonstrated that both qCSI and CGCIRS have significant predictive capabilities in identifying critical Covid-19 patients over a 28-day period. These scores are valuable for early identification and appropriate management of critically ill patients in the emergency department. [ABSTRACT FROM AUTHOR]

Menstruation-related symptoms in young women are associated with lifestyle factors such as stress. This study aimed to examine menstrual conditions, menstruation-related symptoms, and types of stress in Japanese female students from their first to second years of university and the association between menstruation-related symptoms and stress levels. This prospective longitudinal cohort study utilized a self-reported web survey with the Menstrual Distress Questionnaire (MDQ) at three timepoints (2, 8, and 14 months) following admission and continuing into the second year. Data from 33 out of 102 students, who were followed throughout the study period, were used for analysis. Results indicated a trend towards changes in menstrual regularity, with the lowest (48.5%) at timepoint 1 and the highest (72.7%) at timepoint 3, and significant changes in perceived bleeding amount. Stress related to study and academic performance was consistently highest, with significant differences across timepoints. Intra-menstrual MDQ scores were highest at timepoint 1, with significant variations in impaired concentration severity across timepoints. Significant correlations were found between the MDQ scores and stress related to health and personality at all timepoints, and to future prospects, friendships, study, and academic performance at different timepoints. In short, stress related to academic performance, along with a strong correlation between MDQ scores and specific stress types, such as health and personality, was observed across all timepoints. This implies the need to provide new students with health education regarding menstruation and stress management before specific timepoints. [ABSTRACT FROM AUTHOR]

Temperature is a determining factor for the viral cycle. In this study, we investigate the effect of different temperatures on the cycles of two important arboviruses—Zika (ZIKV) and Chikungunya (CHIKV)—in Vero (mammalian) and C6/36 (mosquito) cells. We compare genome quantification to infectivity at 28 °C and 37 °C in both cell types. Virus–cell interaction was also examined by transmission electron microscopy, allowing the observation of phenomena such as virus-surfing and giant forms for CHIKV, as well as the the scarcity of ZIKV in C6/36 cells compared to its cycle in mammalian cells. [ABSTRACT FROM AUTHOR]

Research is underway to develop a vaccine to prevent and cure infection from herpes simplex virus (HSV). It emphasizes the critical need for immunization to address public health issues and the shortcomings of existing treatment options. Furthermore, studies on the HSV vaccine advance the field of immunology and vaccine creation, which may help in the battle against other viral illnesses. The current lack of such a vaccine is, in part, due to herpes viral latency in sensory ganglions. Current vaccines rely on tissue-resident memory CD8+ T cells, which are known to provide protection against subsequent HSV reinfection and reactivation without correlating with other immune subsets. For that reason, there is no effective vaccine that can provide protection against latent or recurrent herpes infection. This review focuses on conventional methods for evaluating the efficacy of a herpes vaccine using differential CD8+ T cells and important unaccounted immune aspects for designing an effective vaccine against herpes. [ABSTRACT FROM AUTHOR]

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In recent years, cryptocurrencies have received substantial attention from investors, researchers and the media due to their volatile behaviour and potential for high returns. This interest has led to an expanding body of research aimed at predicting cryptocurrency prices, which are notably influenced by a wide array of technical, sentimental, and legal factors. This paper reviews scholarly content from 2014 to 2024, employing a systematic approach to explore advanced quantitative methods for cryptocurrency price prediction. It encompasses a broad spectrum of predictive models, from early statistical analyses to sophisticated machine and deep learning algorithms. Notably, this review identifies and discusses the integration of emerging technologies such as Transformers and hybrid deep learning models, which offer new avenues for enhancing prediction accuracy and practical applicability in real-world scenarios. By thoroughly investigating various methodologies and parameters influencing cryptocurrency price predictions, including market sentiment, technical indicators, and blockchain features, this review highlights the field's complexity and rapid evolution. The analysis identifies significant research gaps and under-explored areas, providing a foundational guideline for future studies. These guidelines aim to connect theoretical advancements with practical, profit-driven applications in cryptocurrency trading, ensuring that future research is both innovative and applicable. [ABSTRACT FROM AUTHOR]

Background: In the 2022-2023 global outbreak, the United States and state of Texas recorded a total of 31,277 and 3,085 confirmed monkeypox (Mpox) cases respectively as of November 2023. This study aims to investigate the demographic characteristics and risk factors of Mpox outbreak in Houston and document the epidemiologic control measures implemented with their outcomes. Methods: Houston Health Department received reports of suspected Mpox cases via electronic case reports and laboratory reports from healthcare providers within Houston. These were then investigated and reclassified as either positive or negative using DNA polymerase chain reaction tests. All the reported cases received between May 2022 and January 2023 were included in this study using convenient sampling methods. Descriptive statistics using frequency distribution was used to analyze the sociodemographic, clinical features and travel history of the cases. A two-sided Chi-squared test was used to determine association between Mpox test results and risk factors with significant level set at P < 0.05. Other infection control measures such as community engagement, health education, tracking and contact tracing, vaccination, referrals and laboratory sample logistics support were implemented by the health department. Results: Out of the total of 1,625 suspected persons investigated for Mpox, 724 (44.6%) tested positive. Among the 724 confirmed cases, male was 700 (96.7%), females 20 (2.8%), transgender male 1 (0.1%), transgender female 3 (0.4%). Age groups 30-39 years constituted 43.6%, 18-29 years 27.4%, 40-49 years 18.2%, 50-59 years was 8%. Race distribution of positive cases was Whites 43.4%, African American 38.7%, Asian 1.4%. Risk factors with P < 0.05 included male gender, age groups 30-39 years and 40-49 years, travel history to Mpox endemic areas, recent sexual contact with known or suspected Mpox cases, human immunodeficiency virus seropositivity. Identifying as gay and bisexual were also statistically significant risk factors for Mpox infection. Conclusion: The timely implementation of primary and secondary prevention measures targeted at the most at-risk populations was very effective at curtailing the spread of Mpox infection within the city of Houston. [ABSTRACT FROM AUTHOR]

The KCNE2 protein is encoded by the kcne2 gene and is a member of the KCNE protein family, also known as the MinK-related protein 1 (MiRP1). It is mostly present in the epicardium of the heart and gastric mucosa, and it is also found in the thyroid, pancreatic islets, liver and lung, among other locations, to a lesser extent. It is involved in numerous physiological processes because of its ubiquitous expression and partnering promiscuity, including the modulation of voltage-dependent potassium and calcium channels involved in cardiac action potential repolarization, and regulation of secretory processes in multiple epithelia, such as gastric acid secretion, thyroid hormone synthesis, generation and secretion of cerebrospinal fluid. Mutations in the KCNE2 gene or aberrant expression of the protein may play a critical role in cardiovascular, neurological, metabolic and multisystem disorders. This article provides an overview of the advancements made in understanding the physiological functions in organismal homeostasis and the pathophysiological consequences of KCNE2 in multisystem diseases. [ABSTRACT FROM AUTHOR]

Seed vigour is a desirable trait especially for direct seeded rice (DSR) cultivation. Seeds with high vigour could improve seed germination, support seedlings in competing with weeds for water and nutrients, and improving seedling establishment throughout the early stages of crop growth. The success of DSR system which account for more 25% of world cultivation areas is highly dependent on the seed vigour and seedling establishment. Seed priming is a promising technique to improve seed vigour. Proline is an amino acid that has been well studied for its roles in plants under different environmental stress conditions. Nevertheless, the effect of proline as a seed priming agent in improving seed vigour in rice remain elusive. In this research, the effect of 24 h of proline priming at various concentrations (0 mM, 1 mM, 2 mM, 10 mM and 20 mM) on rice seed vigour, amylase activity, and total soluble sugar (TSS) content of a Malaysia indica rice variety, MR269 was investigated. Results showed that seeds primed with lower concentration of proline (0 mM, 1 mM and 2 mM) had better germination responses while priming at high concentrations (10 mM and 20 mM) reduced seed germination. Among the concentration tested, priming with 1 mM proline enhanced seed vigour with significantly higher germination percentage (GP), germination rate index (GRI) and seedling vigour index (SVI). In addition, proline primed seeds also exhibited increased amylase activity and TSS content as compared to unprimed seeds. However, priming seed with 20 mM proline was detrimental to the seed vigour and seedling growth whereby lower GP, GRI and SVI and higher mean germination time (MGT) were observed. In short, this study shows that proline could be a potential seed priming agent to improve seed vigour in rice. [ABSTRACT FROM AUTHOR]