Memristive Ion Dynamics to Enable Biorealistic Computing.

Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.

Phytochemical investigation of Jie-Geng-Tang and regulatory role in the TNF-α pathway in mitigating pulmonary fibrosis using UPLC-Q-TOF/MS.

Jie-Geng-Tang (JGT), composed of Platycodon grandiflorus (Jacq.) A. DC and Glycyrrhiza uralensis Fisch, is widely used in traditional Chinese medicine for its potential effects in preventing pulmonary fibrosis (PF).

Identifying the Pathogenicity of a Novel NPRL3 Missense Mutation Using Personalized Cortical Organoid Model of Focal Cortical Dysplasia.

Focal cortical dysplasia (FCD) II is a cortical malformation characterized by cortical architectural abnormalities, dysmorphic neurons, with or without balloon cells. Here, we systematically explored the pathophysiological role of the GATOR1 subunit NPRL3 variants including a novel mutation from iPSCs derived from one FCD II patient. Three FCD II children aged 0.

Flexible and Stable GaN Piezoelectric Sensor for Motion Monitoring and Fall Warning.

Wearable devices have potential applications in health monitoring and personalized healthcare due to their portability, conformability, and excellent mechanical flexibility. However, their performance is often limited by instability in acidic or basic environments. In this study, a flexible sensor with excellent stability based on a GaN nanoplate was developed through a simple and controllable fabrication process, where the linearity and stability remained at almost 99% of the original performance for 40 days in an air atmosphere.

Global Analysis of microRNA-like RNAs Reveals Differential Regulation of Pathogenicity and Development in Causing Apple Replant Disease.

This study investigated the expression profiles of microRNA-like RNAs (milRNAs) in (), a key pathogen causing Apple replant disease (ARD), across spore to mycelium formation stages. Using small RNA sequencing (sRNA-seq) and bioinformatics, we identified and analyzed milRNAs, revealing their targeting of 2364 mRNAs involved in 20 functional categories, including metabolic and cellular processes, based on gene ontology (GO) analysis. An analysis of Kyoto Encyclopedia of Genes and Genomes (KEGG) showed that these mRNAs are related to carbohydrate and amino acid metabolism pathways.