New Insights on Hepatitis B Virus Viral Transcription in Single Hepatocytes.

The hepatitis B virus (HBV) infects approximately 290 million people globally, with chronic infection sustained by persistent viral gene expression. Recent single-cell analyses of HBV viral transcripts have uncovered novel features of HBV transcription and provided fresh insights into its regulation at the single-cell level. In this review, we summarize the latest advancements in understanding HBV viral transcription in individual hepatocytes and highlight emerging technologies that hold promise for future research.

Vaccine Therapies for Prostate Cancer: Current Status and Future Outlook.

Prostate cancer is a prevalent cancer in elderly men, and immunotherapy has emerged as a promising treatment approach in recent years. The aim of immunotherapy is to stimulate the body's immune system to target and destroy cancer cells. Cancer vaccines that are highly specific, safe, and capable of creating long-lasting immune responses are a key focus in cancer immunotherapy research.

Knowledge Graph-Based In-Context Learning for Advanced Fault Diagnosis in Sensor Networks.

This paper introduces a novel approach for enhancing fault diagnosis in industrial equipment systems through the application of sensor network-driven knowledge graph-based in-context learning (KG-ICL). By focusing on the critical role of sensor data in detecting and isolating faults, we construct a domain-specific knowledge graph (DSKG) that encapsulates expert knowledge relevant to industrial equipment. Utilizing a long-length entity similarity (LES) measure, we retrieve relevant information from the DSKG.

Cloud-Edge-End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments.

Cloud-edge-end computing architecture is crucial for large-scale edge data processing and analysis. However, the diversity of terminal nodes and task complexity in this architecture often result in non-independent and identically distributed (non-IID) data, making it challenging to balance data heterogeneity and privacy protection. To address this, we propose a privacy-preserving federated learning method based on cloud-edge-end collaboration.

Advancements in Smart Wearable Mobility Aids for Visual Impairments: A Bibliometric Narrative Review.

Research into new solutions for wearable assistive devices for the visually impaired is an important area of assistive technology (AT). This plays a crucial role in improving the functionality and independence of the visually impaired, helping them to participate fully in their daily lives and in various community activities. This study presents a bibliometric analysis of the literature published over the last decade on wearable assistive devices for the visually impaired, retrieved from the Web of Science Core Collection (WoSCC) using CiteSpace, to provide an overview of the current state of research, trends, and hotspots in the field.