This study developed an open-source tornado database for the Chinese mainland from 2004-2019, utilizing the Enhanced Fujita scale to assess intensity. It analyzed spatio and temporal distributions characteristics and simulated tornado occurrences using KDE and Monte Carlo methods, revealing seasonal geographic variations. Results highlight higher tornado probabilities in southern provinces during autumn-winter and northern provinces in spring-summer. The database enhances risk assessment capabilities and is available for further research.

The book Thinking, Fast and Slow, by Daniel Kahneman, put forward the idea that we reason using not one but two systems, System 1 and System 2, which are fast and slow, respectively. According to Kahneman’s model, we use System 1 when stress is very low or very high and we use System 2 when stress is moderate. Studies that explore how we use these systems for decision-making in various stressful conditions have recently been summarized in a systematic review that asks three questions: What experimental protocols should be used? How should physiological responses to stress be measured? How can physiological measurements be used to represent stress quantitatively? The open access review article, titled “Measurement and Quantification of Stress in the Decision Process: A Model-Based Systematic Review”, was published Sep. 18 in Intelligent Computing, a Science Partner Journal.

This work reports the design of an efficient multiband UC system based on Ln³⁺/Yb³⁺-doped core-shell upconversion nanoparticles (Ln/Yb-UCNPs, Ln³⁺=Ho³⁺, Er³⁺, Tm³⁺). In the design, Ln³⁺ ions are incorporated into distinct layers of Ln/Yb-UCNPs to function as near-infrared (NIR) absorbers across different spectral ranges. This design achieves broad multiband absorption within the 1100 to 2200 nm range, with an aggregated bandwidth of approximately 500 nm. It can effectively extend the photovoltaic performance of silicon solar cells.

A new consensus provides an update on the use of molecular diagnostics for hepatocellular carcinoma and biliary tract cancer,which both present significant health challenges. The expert panel has developed evidence-based recommendations that emphasize personalized treatment strategies and key molecular markers to optimize therapy. The consensus also explores emerging biomarkers, such as tumor mutation burden and microsatellite instability, which are crucial for advancing precision medicine and improving patient outcomes.