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LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation
Lung cancer, which accounted for 2.48 million new cases and 1.82 million deaths worldwide in 2022, continues to be the most lethal cancer across the globe, underscoring the urgent demand for more advanced diagnostic tools. Although computed tomography (CT) imaging has long been central to lung…
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A deep reinforcement based echo state network for network intrusion classification
Network intrusion classification referred to the process of monitoring and analyzing network traffic to identify suspicious activities or attacks. In this work, author proposed a novel approach to classify network intrusion by utilizing deep reinforcement learning (DRL), integrating a reservoir…
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Parental, pregnancy and neonatal characteristics during the perinatal period as potential risk factors for childhood cancer: FeToxCancer case-control study
Childhood cancer aetiology is poorly understood and is considered to originate in utero and early postnatal life. In this study, we investigated perinatal characteristics as potential risk factors by performing a population-based case-control study, including 1340 cancer cases diagnosed < 19y and…
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Revisiting co-expression-based automated function prediction in yeast with neural networks and updated Gene Ontology annotations
Automated function prediction (AFP) is the process of predicting the function of genes or proteins with machine learning models trained on high-throughput biological data. Deep learning with neural networks has become the dominant machine learning methodology of contemporary AFP models. However, it…
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Seroprevalence and altitude-dependent patterns of Toxoplasma gondii infection in livestock from northern Armenia
Toxoplasmosis, caused by the intracellular protozoan parasite Toxoplasma gondii, is a zoonotic disease affecting almost all warm-blooded vertebrates. Despite its importance to both humans and animals, research on toxoplasmosis in Armenia has been limited, with a notable 35-year gap in studies…
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Correction: Effects of Capsular Polysaccharide amount on Pneumococcal-Host interactions
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Glucose is dynamically regulated by time of day in humans and Drosophila
Biological clocks shape metabolism, but how circadian programs govern nutrient processing is unclear. Here, using human metabolomics and 13C6-glucose tracing in Drosophila, we delineate previously under characterized daily oscillations in glucose-derived metabolic networks, providing a mechanistic…
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Edge-assisted adaptive offloading algorithm for 3D object detection tasks
Multimodal 3D object detection is crucial for autonomous systems but suffers from high delay due to significant computational demands. To address this, we propose an edge computing-assisted framework that balances load between terminal devices and edge servers. We introduce dynamic threshold tuning…
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Circulating immune complexes in dogs with Leishmania infantum infection in a non-endemic country
Circulating immune complexes (CIC) cause different organ lesions in canine leishmaniosis. This study aimed to measure CIC in dogs infected with Leishmania (L.) infantum in a non-endemic country and to analyze associations with disease parameters. Measurement of Leishmania-specific CIC was performed…
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Epidemiology and care management of Paroxysmal Nocturnal Hemoglobinuria (PNH) in a real-world setting in France: Description from the French National Hospitalization Database
Introduction: Paroxysmal nocturnal hemoglobinuria (PNH) is a rare, acquired stem-cell disease causing anemia, aplasia and thromboses, affecting ~1/80,000 patients in France. Treatment mainly involves C5 inhibitors (C5i) and iterative red-blood-cell transfusions. Recent real-world French data on PNH…
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Increased serum albumin corrected anion gap levels are associated with poor prognosis in sepsis-induced coagulopathy patients
Background: Sepsis-induced coagulopathy (SIC) is associated with high mortality, and acid-base disturbances are common in critically ill patients with this condition. The anion gap (AG) is affected by serum albumin levels, suggesting that the albumin-corrected anion gap (ACAG) may serve as a more…
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Behavioural and Social Drivers (BeSD) of COVID-19 vaccination for children: A cross-sectional study of parental vaccine confidence and intent in Mysore, India
Background: India rolled out COVID-19 vaccinations for adults in January 2021 and children aged 12–18 in early 2022. A 2021 survey indicated that 63% of Indian parents were willing to vaccinate their children against COVID-19, with few studies examining vaccine hesitancy and acceptability. The the…
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Impact of age and clinical factors on the feasibility of mobile digital monitoring in people at risk of suicide
Objective: Assessing the risk of suicidal outcomes is challenging, particularly in older people. Smartphone-based digital phenotyping may help to monitor suicide risk through ecological momentary assessment (EMA) applications. In this real-world study, we investigated if age and other clinical…
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Pooled incidence and predictors of infant mortality in low- and middle-income countries using gamma shared frailty model: Insights for achieving the Sustainable Development Goals
Background: Low- and middle-income countries (LMICs) account for a large share of global infant deaths, but there is a lack of evidence on the pooled estimate of infant mortality and its predictors in LMICs. Therefore, this study aimed to assess the pooled incidence of infant mortality and its…
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The plague of 1720 and migration in Martigues (France) in the 17th and 18th centuries
One-off events such as wars or epidemics can change the structure of populations, by encouraging the mobility or causing the death of certain categories of people. They can also lead to a demographic slump, made up for by the arrival of new migrants. The town of Martigues (Bouches-du-Rhône, France)…
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An effective deep learning algorithm for medical image registration
Image registration is crucial for many medical imaging applications, including longitudinal monitoring and multimodal information fusion. A key challenge is to achieve accurate alignment while strictly preserving topology and invertibility. To address the limitations of traditional penalty-based…
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Genomic diversity analysis enables development of pan-Dengue Toehold RNA sensors
The Dengue virus (DENV) like many other RNA viruses exhibits high genome sequence diversity. This poses a challenge to nucleic acid-based diagnostics, rendering them inefficient at detecting the diverse DENV strains circulating in a population. In this study, we address this challenge by developing…
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Are routinely collected clinical and sociodemographic characteristics associated with social functioning and activities of daily living in schizophrenia? A machine learning approach descriptive of a schizophrenia cohort
Patients with schizophrenia often experience substantial impairments in social functioning and activities of daily living (ADLs). Previous studies have highlighted links between sociodemographic and clinical factors and daily life functioning. However, routinely collected, non-scale-based clinical…
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