Factors such as sunlight and stage-specific nutrient application determine crop success in urban agriculture, far beyond fixed recipes or miracle solutions. This is demonstrated by an eight-year study conducted by the Institute of Environmental Science and Technology at the Universitat Autònoma de Barcelona (ICTA-UAB), Spain, in its build-integrated rooftop greenhouse, thermally connected to the facility itself, and located within the university campus.

Ahead of World Mental Health Day on October 10, attention is turning to the question of what causes psychological strain at work. A study by Bielefeld University shows that inappropriate tasks are not the only factor associated with exhaustion. Changes in day-to-day work can also leave employees feeling exhausted, even when the number of burdensome tasks decreases. Perceived uncertainty plays an important role.

Findings suggest a new therapeutic strategy to enhance antibiotic penetration

This review presents an AI‑driven tri‑phase framework—transcriptomic, clonal, and structural—for identifying tumor‑reactive CD8⁺ T cells. It critically addresses key bottlenecks: data bias, generative functional blind spots, and clinical validation deficits. The authors propose integrating dynamic physical simulations with multimodal generative AI to enable force‑activated functional prediction, ultimately shifting from static affinity optimization toward programmable, patient‑specific immunotherapy.

Microplastics and nanoplastics are increasingly detected in the environment and human biological samples, raising concerns about their potential health effects. A new review published in Med Research highlights particle size as a key factor determining how these plastic particles interact with biological barriers and organs. Nanoplastics can more readily enter cells and subcellular structures, where they are associated with mitochondrial dysfunction, oxidative stress, ferroptosis, and inflammatory signaling. Larger microplastics, in contrast, primarily cause mechanical barrier disruption and persistent immune activation. The review compares these size-dependent effects across the intestine, liver, kidney, lung, and brain and discusses emerging intervention strategies and major gaps in translating experimental findings to human health.

OmicsGWAS is a comprehensive post-GWAS analysis platform that provides an automated workflow from data preprocessing to result visualization. It supports standardized conversion of GWAS summary statistics and integrates multi-omics datasets, including eQTL, pQTL, and mQTL data. By incorporating methods such as Mendelian randomization, colocalization analysis, and SMR, the platform enables systematic exploration of genotype–phenotype relationships, comorbidity mechanisms, and potential drug targets. OmicsGWAS improves the efficiency, standardization, and reproducibility of post-GWAS studies and facilitates precision medicine research.