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.

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.

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.

Researchers have engineered a multifunctional gallium-doped bioactive glass that selectively kills osteosarcoma cells and prevents bacterial infections while promoting bone regeneration. By localized delivery of gallium ions, this innovative biomaterial disrupts iron metabolism in cancer cells, triggering programmed cell death without harming healthy bone tissue. It simultaneously provides a robust defense against hospital-acquired pathogens like Pseudomonas aeruginosa.

A nanosensor measured nitric oxide from patient-derived stem cells. Autism patients produced ~6nM, intellectual disability patients ~11nM, and healthy individuals ~65nM, despite sharing the same genetic mutation. This differential production suggests nitric oxide levels can distinguish autism from other neurodevelopmental disorders with overlapping causes, offering a potential biomarker for more precise diagnosis.

Ionic thermoelectrics (i-TEs) convert temperature differences into electricity, taking forms from liquids and gels to polyelectrolytes and porous solids. A new review in National Science Review takes a bird's-eye view—from the physics and chemistry of a single electrolyte to the engineering of commercial products—and lays out a material–device–system design framework. The authors conclude that reaching commercial products demands concerted, cross-disciplinary efforts in standardization, scalable manufacturing, reliability, and sustainability—not merely ever-higher performance metrics.