Biochemical and biophysical research communications
Mar 30, 2026
mRNA stability, quantified by half-life, is central to gene expression homeostasis and post-transcriptional regulation. Predicting mRNA half-life from 3' untranslated region (3'UTR) sequences alone, however, remains challenging, particularly when bot... read more
Journal of molecular graphics & modelling
Mar 30, 2026
The Werner syndrome (WRN) helicase is a validated synthetic-lethal vulnerability in cancers with microsatellite instability (MSI), making WRN inhibition a potential target for cancer treatment. Therefore, a computer-aided drug discovery (CADD) pipeli... read more
AIM: Artificial intelligence (AI) is one of the most revolutionary developments in the field of medicine in recent history, with radiology being one of the strongest beneficiaries. AI models predominantly relied on user input to generate 'human-like'... read more
This paper studies the synchronization of switched neural networks (SNNs) under stochastic delayed impulses (SDI), utilizing the state-dependent switching (SDS) mechanism based on the information from node dynamics. Unlike prior works, we construct a... read more
BACKGROUND: Smartphones generate continuous behavioral signals such as mobility and activity patterns, offering scalable opportunities for monitoring mental health in community settings. Digital phenotyping approaches that integrate passive sensing w... read more
Cyberbullying poses a serious threat to mental health, while traditional psychological interventions are often constrained by limited accessibility and resources. Grounded in the integrative model of psychological resilience, this study examined the ... read more
This study develops a deep learning-based model to automate the instance segmentation of nuclei and whole cells in hematoxylin and eosin-stained head and neck squamous cell carcinoma (HNSCC) images, aiming to enhance the efficiency and objectivity of... read more
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2026
This paper proposes a complex-valued proximal neural network (CPNN) method for solving complex-valued mixed variational inequalities (CMVIs) directly in the complex-domain. Under standard convexity assumptions, we establish the nonexpansiveness of th... read more
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2026
Polynomial graph filters have been widely used as guiding principles in the design of spectral Graph Neural Networks (GNNs). However, their reliance on pairwise network structures inherently constrains their capabilities. (1) Spectral GNNs tend to su... read more
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