Researchers have developed an integrated gray wolf optimization algorithm-based hybrid estimation framework that combines sample entropy, localized voltage area, and fuzzy entropy to accurately estimate the state of health of bipolar lead-acid batteries. Partial charging profiles are utilized to extract and validate battery health feature attributes based on gray relational grades. The proposed hybrid models utilize two pairs of battery health attributes: localized voltage area paired with either fuzzy entropy or sample entropy. The average mean absolute error and average root mean squared error values are below 1.02 percent and 1.5 percent respectively for the localized voltage area and fuzzy entropy health attribute pair.

Nestlé and Nanyang Technological University, Singapore (NTU Singapore) today announced a multi-year joint research partnership to advance the scientific understanding of how nutrition supports healthy longevity and women’s health.

A groundbreaking discovery in modernizing traditional Chinese medicine (TCM) has been achieved. A study has, for the first time, confirmed that stable, naturally occurring nanoparticles with intact bioactivity—named Pueraria lobata (GeGen) decoction-derived vesicle-like nanoparticles (GGD-PDVLNs)—exist in the decoction prepared using the traditional boiling method. Experiments have demonstrated that these nanoparticles constitute the core active component responsible for the therapeutic effects of the decoction. They function by reshaping the gut microbiota to treat ulcerative colitis, with efficacy dependent on the microbiota. This finding redefines the scientific understanding of traditional herbal decoctions and establishes a new paradigm for developing natural nanomedicines.

The Finnish Institute for Health and Welfare (THL) is launching Future Finland, a century-long research initiative that will follow the entire generation of children born in Finland between 2025 and 2029, together with their families.