As global temperatures rise, the ability to understand how plants respond to heat has never been more critical. 

A cutting-edge humidity sensing system has been unveiled, capable of monitoring human behaviors in real-time through the detection of respiratory patterns. 

Long-term and precise intracellular signal detection is critical for advancing our understanding of brain diseases and developing effective diagnostic tools. 

A new fully automated in vivo screening system (AISS) has been developed to transform drug evaluation by enabling rapid, precise, and non-invasive multi-organ imaging in zebrafish. Integrating cutting-edge microfluidic technology with computer-vision-based control, this innovative system automates every aspect of zebrafish larvae handling— from loading and encapsulation to immobilization and drug exposure. 

A recent study reveals how the expansion and functional divergence of terpene synthase genes (TPSs) in flowering plants (angiosperms) have driven the astonishing diversity of terpenes—critical compounds involved in plant defense, floral scents, and fruit flavors. 

As climate change and population growth increase pressure on global food production, regional-scale crop growth and associated process (CROP-AP) models have become essential tools for understanding and predicting agricultural productivity. A new review, published in Science China Earth Sciences, categorizes these models into four types—statistical models, crop growth models, hydrology-crop coupling models, and ecosystem models. The study explores their main functions from five aspects: crop yield prediction, crop water consumption, agricultural non-point source pollution, greenhouse gas emissions, and climate change impact and responses, and identifies key future research directions, including model validation and calibration, the ability to simulate the coupling of crop physiology and human activities, enhancing model scalability, multi-model ensembles, data and code sharing, and the integration of artificial intelligence.

Researchers used in situ pH measurements and in situ UV-Vis spectroscopy to investigate the kinetically controlled growth of Co(OH)₂. They discovered that Co polyhedra with unconventional coordination play a crucial role in the formation process of Co(OH)₂, reshaping our understanding of the formation process.

Conductive hydrogels from ionic liquids are widely used in soft electronics and solid electrolytes due to their high flexibility and conductivity. However, engineering such hydrogels with simultaneous biocompatibility, recyclability, excellent conductivity, stretchability, and toughness for different soft electronic applications remains challenging. This study presents a simple strategy to fabricate tough, biocompatible, and recyclable conductive hydrogels based on polyvinyl alcohol PVA and 1-butyl-3-methylimidazolium tetrafluoroborate for highly stretchable strain sensors and all-in-one supercapacitors. These hydrogels can also be recycled to make new strain sensors with consistent performance in terms of linear sensitivity, durability, and low hysteresis. This simple design concept opens up new avenues for the development of the next generation "green" wearable and implantable electronic devices.

A team from Jiuhua Laboratory in China has developed a novel "Electronic Structure-Infused Network (ESIN)" model that accurately predicts the photoluminescence quantum yield (PLQY) of organic thermally activated delayed fluorescence (TADF) materials. By integrating molecular geometry and electronic structure, ESIN enhances the understanding of the luminescent process and provides insights for optimizing TADF material design,  accelerating the exploration of high-performance OLEDs.