Photocatalytic acceptorless dehydrogenation of flavanones by cationic Eosin Y as a bifunctional catalyst.

We report the first example of photocatalytic acceptorless dehydrogenation using cationic Eosin Y as a bifunctional photocatalyst, without metal catalysts or HAT reagents. Under Bayesian optimized conditions, a wide range of flavones were synthesized in moderate to excellent yields, many of which were reported with biological activities. Mechanistic studies suggest that flavones likely form through two HAT processes, with hydrogen release occurring photoredox.

Consensus on the lung cancer management after third-generation EGFR-TKI resistance.

Lung cancer is the most prevalent malignant tumour in the Asia-Pacific region. Non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers. Among these, the rate of mutations in Asian patients with lung adenocarcinoma is 40-60%.

Plasma-based transcriptomic non-coding signature for predicting relapse in pediatric acute lymphoblastic leukemia.

Pediatric Acute Lymphoblastic Leukemia (ALL) is the most common malignant tumor of the hematological system in children, and its relapse after treatment has consistently been a significant factor hindering prognosis. This study aimed to develop a blood-based non-invasive method for predicting relapse in children with ALL. Two cohorts of pediatric ALL patients were analyzed.

An optimized public opinion communication system in social media networks based on K-means cluster analysis.

This study proposes a public opinion monitoring model that combines the K-means clustering algorithm with Particle Swarm Optimization (PSO) to enhance the accuracy and effectiveness of public opinion monitoring on social media. The model's performance across various dissemination indicators is studied in detail. Through experiments conducted on social media datasets, the study comprehensively evaluates the model from four dimensions: dissemination speed, scope, depth, and sentiment dissemination effectiveness.

Bibliometric Analysis and Visualization of Nanoindentation Research.

Nanoindentation has gained significant attention as a method for the quantitative characterization of mechanical properties of materials at micro- and nanoscales. This study investigates trends in nanoindentation technology by visualizing and analyzing relevant publications. To achieve this, CiteSpace was utilized to analyze 14 373 papers from the Web of Science core database published between 2013 and 2022.