Freshwater ecosystems, including high-altitude lakes, can be affected by trace metal pollution derived from a mix of natural sources and anthropogenic activities. These pollutants often collect in surface sediments, with notable concentrations in the deeper areas of lakes. To evaluate the environmental risk associated with metal contaminated sediment in Rara Lake, southern Himalaya, surface sediment samples were systematically collected in November 2018, with a subsequent specific emphasis on determinations of trace element concentrations.
View Article and Find Full Text PDFSimultaneous biological nutrient removal (SBNR) using an anaerobic-anoxic-oxic phase is the key feature of advanced wastewater treatment plants (WWTPs). Removing ammonia, total nitrogen, and phosphorus concurrently with organic matter and suspended solids from wastewater is essential to meeting stringent effluent discharge standards via SBNR in WWTPs. More insight into the mechanisms of SBNR, i.
View Article and Find Full Text PDFBackground: Bariatric surgery is an effective intervention for obesity, but comprehensive postoperative self-management is essential for optimal outcomes. While patient portals are generally seen as beneficial in engaging patients in health management, the link between their use and post-bariatric surgery weight loss remains unclear.
Objective: This study aimed to investigate the association between patient portal engagement and postoperative BMI reduction among patients after bariatric surgery.
Introduction: AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles rather than tailored recommendations for specific domains like consumer health. This gap risks unintended consequences from generic guidelines misapplied across contexts and from providing answers before agreeing on the questions.
View Article and Find Full Text PDFThe elucidation of protein structure and function plays a pivotal role in understanding biological processes and facilitating drug discovery. With the exponential growth of protein sequence data, machine learning techniques have emerged as powerful tools for predicting protein characteristics from sequences alone. This review provides a comprehensive overview of the importance and application of machine learning in inferring protein structure and function.
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