Neural networks : the official journal of the International Neural Network Society
Apr 6, 2026
Object-goal navigation aims to guide an agent to find a specific target object in an unfamiliar environment based on first-person visual observations. It requires the agent to learn informative visual representations and robust navigation policy. To ... read more
Sperm sorting plays a pivotal role in assisted reproductive technologies (ART), ensuring the selection of functionally competent spermatozoa for enhanced fertilization, implantation, and pregnancy outcomes. Traditional approaches such as swim-up, den... read more
Neural networks : the official journal of the International Neural Network Society
Apr 6, 2026
Value decomposition, as a factorization approach in multi-agent reinforcement learning (MARL), has been influential in the development of many effective value-based algorithms. Existing studies on value decomposition that focus on representation capa... read more
BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lung cancer. Its considerable tumor heterogeneity and drug resistance present major clinical obstacles, resulting in unfavorable patient outcomes. Protei... read more
BACKGROUND: Resective epilepsy surgery has been proven to reduce the number of seizures and improve quality of life in patients with drug-resistant epilepsy (DRE) but implies high direct costs. Cost-effectiveness analyses have shown that surgery is c... read more
Previous studies have utilized nanomembranes to reduce greenhouse gas (GHG) emissions in composting. However, few studies have explored their effectiveness in cold environments for reducing both GHG and NH3 emissions. This study applied machine learn... read more
International journal of medical informatics
Apr 6, 2026
BACKGROUND: Early detection of chronic kidney disease (CKD) is essential for preventing progression to end-stage renal disease. However, existing screening tools-primarily developed using populations from high-income countries-often underperform in B... read more
OBJECTIVES: To assess the SRAG dataset's potential for modeling COVID-19 mortality and LOS-ICU, identify key data gaps, and support the development of predictive tools for ICU planning in future outbreaks. METHODS: The SRAG dataset was split into tra... read more
This research examines how AI exposure shapes employees' short-term absorptive-capacity dynamics and knowledge sharing during organizational onboarding. Drawing on self-determination theory, we conceptualize absorptive capacity as a dynamic learning-... read more
External assets as a support system on adolescents' development are particularly crucial. The present study aims to explore whether and how profiles of school-, family-, and community-based assets within adolescents' daily contextual settings functio... read more
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