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A molecular survey of orthohantaviruses in rodents across the tri-border region of China, Russia, and North Korea
Background: Hemorrhagic fever with renal syndrome (HFRS) is highly prevalent in northeastern China, especially along the borders with Russia and North Korea. However, the prevalence of HFRS-causing orthohantaviruses in rodents in these regions remains unclear. Methods: Rodents were captured across…
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Implantation mycoses: A nationwide survey on diagnostic and treatment modalities in Nepal
Implantation mycoses (IM) are a group of fungal diseases which occur after a transcutaneous trauma. The World Health Organization has listed some of the IM, namely sporotrichosis, chromoblastomycosis and eumycetoma as one of the Skin Neglected Tropical Diseases targeted for control by 2030. There…
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Quantifying the kinetics of hematocrit and platelet count during febrile phase to develop a scoring system for predicting dengue shock syndrome in adults: A matched case - control study from a Hospital in Viet Nam
Introduction: Early prediction of dengue shock syndrome (DSS) is crucial for effective patient triage and management. However, the lack of consensus regarding the precise definition of the laboratory warning sign (WS) -“an increase in hematocrit concurrent with a rapid decrease in platelet count”-…
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Phenotypic variability and trait-specific selection in Aegle marmelos Correa genotypes based on morphological and quality traits
This study aimed to assess the genetic variability in Aegle marmelos Correa to develop trait-specific genotypes based on morphological and qualitative traits. The evaluation focused on both morphological and qualitative characteristics within the gene pool of this species. High phenotypic…
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Kelp-stone ratio and bed roughness control green gravel stability under hydrodynamic forces
Kelp forests play a crucial role in marine ecosystems, providing habitat, food, and shelter for a variety of marine organisms. However, these ecosystems are facing significant threats, prompting the need for effective restoration strategies. One promising method is the use of “Green Gravel”, where…
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Balancing the supply and demand for taxonomy: An analysis of European taxonomic capacity and policy needs
Taxonomy is a cornerstone of biological science and essential to biodiversity policy, yet it faces persistent structural challenges collectively known as the “taxonomic impediment”. These include limited capacity, uneven geographic and taxonomic coverage, and a disconnect between the supply of…
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Examining the association between fetal HLA-C, maternal KIR haplotypes and birth weight
Human birth weight is under stabilizing selection, seeking balance between extremes of high and low, thereby reducing fetal and maternal perinatal mortality risk. Certain combinations of maternal killer immunoglobulin-like receptor (KIR) and paternally derived fetal human leuokocyte antigen-C…
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Clinician-deployable deep hypergraph model integrating clinical and CT radiomics predicts immunotherapy outcomes in NSCLC
Current image-based deep learning models that predict the benefits of immunotherapy in non-small cell lung cancer (NSCLC) require high-performance hardware. We aimed to develop and externally validate a clinician-operable prognostic model that integrates clinical and imaging data in a format usable…
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Ground motion inversion method based on generalized chaotic particle swarm optimization
Ground motion inversion is a core technology for revealing earthquake mechanisms and obtaining accurate source and site parameters. However, it has long been constrained by strong nonlinear coupling of parameters, reference station dependence, and the tendency of optimization algorithms to get…
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Enhancing flood prediction through physics-driven typhoon feature engineering and machine learning
Typhoon-induced extreme floods pose severe threats to subtropical watersheds, yet systematic integration of typhoon physics into machine learning flood prediction remains limited. This study developed a physics-informed machine learning framework for the Boluo watershed, South China, emphasizing…
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Gut site and sex-specific enrichment of bacterial taxa and predicted metabolic pathways in wild American black bear ( Ursus americanus )
American black bears’ (Ursus americanus) omnivorous feeding strategy, simple gut morphology, and rapid transit time prevent regulation of the gut microbiome (GMB). We analyzed stable isotopes and 16S rRNA sequences from 48 wild bears to assess the impacts of diet, age, gut site, and sex on GMB…
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Upregulation of CD1d and ULBP3 on B cells from healthy donors and chronic lymphocytic leukaemia patients does not prime them for killing by γδ T cells
Despite advances in treatment, chronic lymphocytic leukaemia (CLL) remains an incurable disease. Vδ1+ γδ T cells are reported to expand in CLL patients and to kill leukemic cells, placing them as candidates for immunotherapy. However, their cytotoxic efficacy was limited and required specific…
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Prevalence and factors associated with comorbid depression and anxiety in patients with diabetes mellitus attending a national referral hospital in Uganda
Comorbid depression and anxiety in patients with diabetes mellitus (DM) is associated with poor disease outcomes, yet its burden and associated factors are not well-characterized in low-resource settings like Uganda. This study aimed to determine the prevalence and factors associated with comorbid…
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Aligning labour force perceptions to job attraction, satisfaction and retention strategies in horticulture: A data-driven empirical study for Australian banana industry
Workforce stability in the banana industry is critical for productivity, fruit quality, and long-term sustainability. Labour shortages and high turnover can also lead to harvesting delays and handling inefficiencies, creating significant food waste in horticultural supply chains. Despite increasing…
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Normalizing flow based neural processes for Alzheimer’s disease progression prediction
As one of the most common neurodegenerative diseases, Alzheimer’s accounts for serious health problems worldwide. Accurate detection and prediction of this disease contribute to the health system for better prevention and interventions in the treatment plans. However, traditional models designed…
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Enhancing symbolic image classification through Gaussian copulas and optimized distinguishing points
In this paper a new method is being proposed which makes use of symbolic data manifested by empirical cumulative distribution functions (ECDF) and distribution functions based on sets of ECDF values, referred to as the distribution function of distribution values (DFDV) of image features. This…
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Path planning for volumetric flask grasping based on visual guidance and multi-constraint optimization
In the automated operation of the chemical laboratory, using a robotic arm to pick up volumetric flasks is a core step of the operation process. By implementing reasonable path planning, the grasping operation of the robotic arm can be made efficient and precise. In this scenario, the traditional…
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Vaccination scenario-based study on seasonal influenza in Republic of Korea
Background: Seasonal influenza presents a persistent threat to global health, with the elderly (65 + years) facing disproportionate risks of severe clinical outcomes. While the World Health Organization advocates for targeted immunization, the epidemiological impact of varying vaccination schedules…
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Synergistic effects of high-temperature curing and elemental conditioning on red mud-based geopolymer: Compressive strength and immobilization
Red mud, a by-product of alumina refining, is accumulating rapidly and harming ecosystems. This study converted red mud and fly ash into a geopolymer (RFGP) to create value while mitigating waste. The effects of different sodium silicate moduli and red mud contents on the compressive strength and…
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Continuous remote monitoring of postoperative vital signs with the Biobeat patch: A multicenter prospective observational study
Objective: This study, conducted under standard clinical conditions, evaluated the Biobeat wearable sensor in postoperative patients monitored over multiple days without human intervention. The study aimed to assess technical performance (vital sign data collection and artifact frequency)…
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