BACKGROUND: The instantaneous neural response to prefrontal theta burst stimulation (TBS) may serve as predictive marker for antidepressant treatment success. This study aimed to (1) assess whether baseline theta burst stimulation (TBS)-induced prefr... read more
In recent years, with the rapid development of artificial intelligence (AI), Chronic Obstructive Pulmonary Disease (COPD), one of the world's three major chronic diseases, has achieved remarkable progress in diagnosis, grading, and prognosis, which i... read more
Kynurenine pathway (KP) metabolites are closely associated with physiological homeostasis and pathological progression, serving as pivotal disease biomarkers. However, efficient simultaneous discrimination and quantification of these structurally ana... read more
Collective variables (CVs) are essential for interpreting and accelerating rare events in molecular simulations, yet their construction is constrained by the requirement of differentiability with respect to atomic coordinates. This excludes many powe... read more
Developing innovative materials with superior properties has been a major engineering challenge. Rationally designed polymer nanocomposites represent an emerging field that offers materials with enhanced mechanical properties and added functionalitie... read more
Neural networks : the official journal of the International Neural Network Society
Mar 14, 2026
Fine-tuning pre-trained language models to adapt to downstream tasks has become a key paradigm in natural language processing. Low-Rank Adaptation (LoRA) reduces computational and storage overhead by introducing low-rank matrices to adapt to specific... read more
BACKGROUND: Internal cranial structures such as the sphenoid and ethmoid bones, along with their associated sinuses, provide valuable biometric information for human identification, particularly when conventional modalities such as fingerprints, dent... read more
Postpartum depression (PPD) is a widespread mental illness after delivery, which has a substantial impact on the health of both mothers and infants. Machine learning (ML) has developed rapidly and plays a vital function in disease prediction. This ar... read more
In recent years, machine learning has been increasingly applied across various scientific fields, including microfluidics. This study presents a fully automated workflow for the optimization of the geometry of periodic microfluidic systems for chroma... read more
BACKGROUND: Cannabis marketing has flourished due to the legalization of recreational cannabis across multiple U.S. states, particularly on social media platforms that effectively reach adolescents and young adults. Understanding how cannabis promoti... read more
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