Improved feature reduction framework for sign language recognition using autoencoders and adaptive Grey Wolf Optimization.

Automatic Sign Language Recognition Systems (ASLR) offers smooth communication between hearing-impaired and normal-hearing individuals, enhancing educational opportunities for impaired. However, it struggles with "curse of dimensionality" due to excessive features resulting in prolonged training time and exhaustive computational demand. This paper proposes technique that integrates machine learning and swarm intelligence to effectively address this issue.

A widespread and ancient bacterial machinery assembles cytochrome OmcS nanowires essential for extracellular electron transfer.

Microbial extracellular electron transfer (EET) drives various globally important environmental phenomena and has biotechnology applications. Diverse prokaryotes have been proposed to perform EET via surface-displayed "nanowires" composed of multi-heme cytochromes. However, the mechanism that enables only a few cytochromes to polymerize into nanowires is unclear.

Nationwide trends and outcomes of percutaneous coronary intervention for stable ischemic heart disease in end-stage kidney disease: a longitudinal study.

Background: Patients with end-stage kidney disease (ESKD) are at high risk for coronary artery disease. We investigate the trends and outcomes of percutaneous coronary intervention (PCI) for stable ischemic heart disease (SIHD) in patients with ESKD.

Methods: We utilized the United States Renal Data System [2010-2018] to include adult patients with ESKD on dialysis for at least 3 months who underwent PCI for SIHD.

Low-dose methotrexate in Rheumatology: A reinvented drug.

Low-dose methotrexate (LD-MTX) is the anchor drug used in the treatment of various rheumatological illnesses. There are a lot of misconceptions associated with the long-term use of MTX in the minds of practitioners. The origin of most of these myths stems from the ill effects associated with high-dose MTX used in cancer chemotherapy.

Reducing noble metal dependence: oxygen evolution reaction with a Ru-minimized BiRuO@MOF-801 composite.

Developing efficient and noble metal-minimized electrocatalysts for the oxygen evolution reactions (OER) is critical for energy conversion reactions. Here we present Ru-minimized BiRuO@MOF-801 that synergistically combines the high catalytic activity of the bimetallic oxide with the unique structural and hydrophilic properties of the Zr-MOF. The composite achieves superior OER performance with a low overpotential of 307 mV at 50 mA cm and a Tafel slope of 99.