This paper reports a substantial enhancement in the sensitivity of photothermal microscopy by leveraging the inevitable spatial mismatch of pump and probe beams, which has conventionally been regarded as an experimental imperfection to be minimized. ... read more
Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target effects, and improving patient compliance. Modern DDS technologies, such as lipid nanoparticles (LNP... read more
The number of possible variants representing the landscape of a protein sequence of length N residues, made of the standard unmodified proteinogenic amino acids, is 20N; its exhaustive experimental analysis is consequently intractable. Our focus is o... read more
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector populations and tumor microenvironment (TME)-mediated suppression. Here, we present a droplet microfluidi... read more
Aqueous zinc-ion batteries (AZIBs) have emerged as a highly promising energy storage technology due to their inherent safety, environmental friendliness, and high theoretical capacity. Nevertheless, challenges in the development of cathode materials ... read more
International journal of neural systems
May 13, 2026
The efficient online decomposition of high-density surface electromyogram (HD-sEMG) into motor unit spike trains (MUSTs) remains a substantial challenge. In this study, a novel deep learning (DL) framework is presented. The framework leverages a hybr... read more
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations offer promising experiential learning, yet evidence of their effectiveness remains limited. This study... read more
INTRODUCTION AND AIMS: Oral exfoliative DNA aneuploidy cytology by image cytometry (DNA-ICM) has been introduced for the early diagnosis of malignant transformation. This study aimed to investigate the optimal cut-off values of DNA content and assess... read more
Dynamic effective connectivity (dEC) analysis provides an approach for revealing the causal mechanism of information transmission in human brain. However, existing discrete-time dEC learning models suffer a mismatch between sampling and causal freque... read more
Corneal blindness affects millions worldwide, yet donor tissue remains insufficient to meet clinical demand. In this context, 3D bioprinting has emerged as a promising approach for fabricating corneal constructs with controlled architecture and compo... read more
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