Specific GABAergic interneuron subtypes are the earliest to be affected by the amyloid plaque that causes Alzhemier’s Disease (AD). Dysfunctional GABAergic activity disrupts resting state gamma oscillations. Together, these dysfunctions result in impaired memory and cognition. Interventions that restore GABAergic activity and reinforce gamma oscillations can provide protective effects against AD-related pathology, and provide cognitive benefits to patients. Greater research into these approaches could benefit millions of patients.

Centimeter-level satellite positioning is becoming essential for autonomous transport, precision surveying, unmanned aerial vehicles, and other systems that must know exactly where they are in real time. 

Researchers developed a simple and cost-effective way to protect environmental monitoring equipment from wildfire damage. The redesigned data cabinets will keep electronics below their failure temperature during wildfires, helping maintain critical environmental data collection.

This study presents a hybrid dynamic best model selection algorithm for real-time building fire prediction using IoT-enabled smoke, temperature, and humidity sensors. Validated on a custom laboratory dataset and live sensor streams, the system dynamically selected the best machine-learning classifier and achieved 99.57% accuracy, 99.37% precision, 99.79% recall, and low error, improving adaptability and early fire detection.

Propylene is vital for industry, but catalysts often fail due to heat. Researchers at Nankai University have engineered a robust Pt-Fe bimetallic catalyst by anchoring atomically dispersed Pt-O-Fe centers within MFI zeolite nanosheets for propane dehydrogenation. This framework-mediated architecture provides a thermodynamic barrier against metal sintering and coking, maintaining >95% propylene selectivity and full regenerability. By resolving the long-standing stability-activity trade-off, this structural design offers a transformative paradigm for industrial-scale, sustainable propylene manufacturing.

A new review in Journal of Management Science and Engineering maps nearly five decades of climate adaptation economics, covering 6,248 studies from 1978 to 2025. It shows how households, firms, markets and governments adapt to climate risk, why adaptation and mitigation must be coordinated, and where future research needs better data, causal evidence and models of inequality.

Researchers developed a triple-synergy strategy that locks ultrafine ruthenium nanoparticles inside a nitrogen-doped porous carbon framework. Spatial confinement, nitrogenous defect anchoring, and electronic modulation work together to improve alkaline hydrogen evolution. The resulting Ru/3DSPNC catalyst delivers high activity and long-term durability in anion exchange membrane water electrolysis, operating stably at 1.9 V for 310 hours.

Actinobacteria TFDB is an integrated database for Actinobacteria transcription factors (TFs). The platform provides a one-stop resource for analyzing TF characteristics, target genes, ligands, and posttranslational modifications to advance microbiology and synthetic biology research.

Researchers have developed a programmable genome evolution platform called RAMPAGE that rapidly generates beneficial mutations in the industrial yeast Pichia pastoris. The technology enabled the evolution of strains that tolerate extremely high methanol concentrations, grow at elevated temperatures, and overcome growth defects caused by glycoengineering. The platform could accelerate the development of more robust microbial cell factories for sustainable biomanufacturing.

Perovskite quantum dots (PQDs)-based near-infrared light-emitting diodes (NIR-LEDs) still suffer from low external quantum efficiencies (EQEs) and severe efficiency roll-off. To overcome this challenge, an ionic liquid-mediated surface reconstruction strategy that simultaneously stabilizes PQD surface and enhances charge transport has been reported. This strategy enables NIR-LEDs achieve a record EQE of 24.8%, maintaining ~20% EQE at a radiance of 10 W sr^-¹ m^-²—representing the lowest efficiency roll-off for PQD-based NIR-LEDs reported to date.