Stand-off hazardous materials identification based on near-infrared hyperspectral imaging combined with convolutional neural network.

Near-infrared (NIR) hyperspectral imaging enables rapid, non-contact imaging of hazardous materials in a non-destructive manner, allowing for analysis based on spectral reflection information. However, using traditional methods, it is challenging to identify hazardous materials with less distinct spectral reflection features. This study utilizes a self-built NIR hyperspectral imaging system and proposes a new approach.

Soluble hyaluronic acid microneedle arrays mediated RGD-modified liposome delivery for pain relief during photodynamic therapy by blocking TRPV1.

In photodynamic therapy (PDT), reactive oxygen species (ROS) are key products that induce cell death, and increasing amount of ROS is a crucial way to enhance PDT efficacy. However, the generated ROS stimulates the transient receptor potential vanilloid 1 channel (TRPV1), which can be activated in the pain pathway and then exacerbate pain. Herein, we utilized arginine-glycine-aspartate (RGD) peptide-modified liposomes for encapsulation Chlorin e6 (Ce6) and capsazepine (Cz), a receptor antagonist of TRPV1, to prepare drug-loaded liposomes, RLCC.

A Multiscale Connected UNet for the Segmentation of Lung Cancer Cells in Pathology Sections Stained Using Rapid On-Site Cytopathological Evaluation.

Lung cancer is an increasingly serious health problem worldwide, and early detection and diagnosis are crucial for successful treatment. With the development of artificial intelligence and the growth of data volume, machine learning techniques can play a significant role in improving the accuracy of early detection in lung cancer. This study proposes a deep learning-based segmentation algorithm for rapid on-site cytopathological evaluation (ROSE) to enhance the diagnostic efficiency of endobronchial ultrasound-guided transbronchial needle aspiration biopsy (EBUS-TBNA) during surgery.

Efficacy and Safety of Chinese Medicine in Treating Arrhythmia: Meta-Analysis of Randomized Controlled Trials.

Objective: To evaluate the clinical efficacy of traditional Chinese medicine in the treatment of arrhythmia.

Methods: The researchers searched CNKI, VIP, WF, PubMed, Web of Science, and Cochrane Library with the set-up themes as randomized controlled trials (RCTs) on the clinical efficacy of traditional Chinese medicine in the treatment of arrhythmia. This research evaluated all the retrieve literature and conducted selection based on the evaluation.

Compound Xuanju Capsule combined with western medicine for the treatment of male oligoasthenotspermia: A protocol for systematic review and meta-analysis.

Background: Oligoasthenotspermia is a condition in which the number and motility of sperm in the semen of fertile men are lower than the normal level. Oligoasthenotspermia not only causes damage to the reproductive system, but also causes infertility in severe cases. Compound Xuanju capsule is a kind of Chinese patent medicine.