Evolving narratives on signal functions for monitoring maternal and newborn health services: A meta-narrative inspired review.

Emergency obstetric care (EmOC) signal functions are a shortlist of key clinical interventions capable of averting deaths from the five main direct causes of maternal mortality; they have been used since 1997 as a part of an EmOC monitoring framework to track the availability of EmOC services in low- and middle-income settings. Their widespread use and proposed adaptation to include other types of care, such as care for newborns, is testimony to their legacy as part of the measurement architecture within reproductive health. Yet, much has changed in the landscape of maternal and newborn health (MNH) since the initial introduction of EmOC signal functions.

Gaussian Aquila optimizer based dual convolutional neural networks for identification and grading of osteoarthritis using knee joint images.

Degenerative musculoskeletal disease known as Osteoarthritis (OA) causes serious pain and abnormalities for humans and on detecting at an early stage, timely treatment shall be initiated to the patients at the earliest to overcome this pain. In this research study, X-ray images are captured from the humans and the proposed Gaussian Aquila Optimizer based Dual Convolutional Neural Networks is employed for detecting and classifying the osteoarthritis patients. The new Gaussian Aquila Optimizer (GAO) is devised to include Gaussian mutation at the exploitation stage of Aquila optimizer, which results in attaining the best global optimal value.

Escaping introns in COI through cDNA barcoding of mushrooms: as a test case.

DNA barcoding involves the use of one or more short, standardized DNA fragments for the rapid identification of species. A 648-bp segment near the 5' terminus of the mitochondrial cytochrome oxidase subunit I (COI) gene has been adopted as the universal DNA barcode for members of the animal kingdom, but its utility in mushrooms is complicated by the frequent occurrence of large introns. As a consequence, ITS has been adopted as the standard DNA barcode marker for mushrooms despite several shortcomings.

Bioremediation of contaminated coastal sediment: Optimization of slow release biostimulant ball using response surface methodology (RSM) and stabilization of metals from contaminated sediment.

The aim of the present study is to optimize the slow release biostimulant ball (BSB) for bioremediation of contaminated coastal sediment using response surface methodology (RSM). Metals contamination and stabilization of metals in coastal sediments using BSB were investigated. The effects of BSB size (1-5cm), distance (1-10cm), and time (1-4months) on the stabilization of metals including Fe, Cd, Cu, and Pb were determined.