Core-Satellite Gold Nanoparticle@Silver Nanocluster Nanohybrids for Milk Allergen β-Lactoglobulin Detection Using the Electrochemical Aptasensor.

Detecting β-lactoglobulin (β-Lg) with high sensitivity and selectivity is an urgent requirement due to nearly 80% of milk anaphylaxis, such as respiratory tract, skin urticaria, and gastrointestinal disorders, being caused by β-Lg. An ultrasensitive β-Lg electrochemical aptasensor utilizing core-satellite gold nanoparticle@silver nanocluster (AuNPs@AgNCs) nanohybrids as electrocatalysts was developed. First, β-Lg aptamer was anchored on gold electrodes and AuNPs to obtain high selectivity.

Medication adherence and needs among patients with schizophrenia in China: a qualitative study.

Objectives: To explore the factors influencing medication adherence and the medication needs of patients with schizophrenia when living in a community in China.

Design: A qualitative study.

Setting: Community and psychiatric ward in Zhuhai city, Guangdong province.

Successful Traceability of Wildlife Samples Contributes to Wildlife Conservation: A Case Study of Tracing the Snub-Nosed Monkey ( spp.).

Rapid and effective methods for tracing the geographic origin of wildlife samples are essential for tackling the illegal wildlife trade. Traditional morphological categorization methods are often inadequate as relying on the mitochondrial COXI barcode is insufficient for determining geographic populations. To address these limitations, we developed a bioinformatics-based pipeline for the rapid identification of traceable nuclear genome loci.

Transcriptome analysis reveals potential medicinal ingredient synthesis in ornamental Dendrobium.

Dendrobium is divided into ornamental and medicinal varieties due to ornamental and medicinal values. However, current research mainly focuses on medicinal Dendrobium, with less study on the medicinal value of ornamental Dendrobium. We analyzed the microstructures, active components of the stems from twelve ornamental Dendrobium, and explored the biosynthetic networks of these active components based on transcriptome sequencing.

Chain of Risks Evaluation (CORE): A framework for safer large language models in public mental health.

Large language models (LLMs) have gained significant attention for their capabilities in natural language understanding and generation. However, their widespread adoption potentially raises public mental health concerns, including issues related to inequity, stigma, dependence, medical risks, and security threats. This review aims to offer a perspective within the actor-network framework, exploring the technical architectures, linguistic dynamics, and psychological effects underlying human-LLMs interactions.