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A Statistical Model to Predict Protection Against Infant Respiratory Syncytial Virus Disease Through Maternal Immunization.
Vaccines (Basel)
November 2024
Vaccine Research and Development, Pfizer Inc., Pearl River, NY 10965, USA.
Background/objectives: Respiratory syncytial virus (RSV) is the leading cause of severe respiratory disease in infants worldwide. Maternal immunization to protect younger infants is supported by evidence that virus-neutralizing antibodies, which are efficiently transferred across the placenta from mother to fetus, are a primary immune mediator of protection. In maternal RSV vaccine studies, estimates of correlates of protection are elusive because many factors of maternal-fetal immunobiology and disease characteristics must be considered for the estimates.
View Article and Find Full Text PDFExploring the Feasibility of a Bracketing Approach Utilizing Modeling for Development of Long-Acting Injectables for Regulatory Approval-A Case Study Using Levonorgestrel.
Pharmaceuticals (Basel)
December 2024
Centre of Excellence for Long-Acting Therapeutics University of Liverpool, Liverpool L69 3BX, UK.
Background: The development of long-acting products of a characterized drug substance is of great interest. It is possible to support the development of these products with available clinical data by matching the exposure to a predefined bracket of a minimal concentration for efficacy and a maximal concentration for safety. This bracketing approach would cut down on the time and cost of new long-acting contraceptive products progressing to market.
View Article and Find Full Text PDFHeterogenous Epoxidation of Isobutene Selectively Enabled by MoSe in Hexafluoroisopropanol (HFIP).
Molecules
December 2024
School of Chemical Engineering and Light Industry, Guangdong University of Technology, Guangzhou 510006, China.
Herein, a high selective epoxidation of isobutene was achieved by heterogeneously dispersed MoSe with tert-butyl hydroperoxide (TBHP), which further showed versatile substrate scopes and well-retained activity among recycling tests. A rational mechanism is proposed based on extensive control experiments and electron paramagnetic resonance spectroscopy, surprisingly unveiling the metal-oxo and radical mediated pathways dramatically accelerated by hydrogen bonds of hexafluoroisopropanol (HFIP).
View Article and Find Full Text PDFEffects of Cover Crops on Nematode Communities in Spinach Production.
Int J Mol Sci
December 2024
London Research and Development Centre, Agriculture and Agri-Food Canada, Vineland Station, ON L0R 2E0, Canada.
Agricultural soil environments contain different types of nematodes in all trophic levels that aid in balancing the soil food web. Beneficial free-living nematodes (FLNs) consist of bacterivores, fungivores, predators, and omnivores that help in the mineralization of the soil and the top-down control of harmful plant-parasitic nematodes (PPNs). Annually, USD 125 billion in worldwide crop losses are caused by PPNs, making them a plant pathogen of great concern for growers.
View Article and Find Full Text PDFOptimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators.
Ecotoxicol Environ Saf
January 2025
Guangzhou Ecological and Environmental Monitoring Center of Guangdong Province, Guangzhou 510030, China.
The long-term presence of antibiotics in the aquatic environment will affect ecology and human health. Techniques for determining antibiotics are often time-consuming, labor-intensive and costly, and it is desirable to seek new methods to achieve rapid prediction of antibiotics. Many scholars have shown the effectiveness of machine learning in water quality prediction, however, its effectiveness in predicting antibiotic concentrations in the aquatic environment remains inconclusive.
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