Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jpeds.2015.04.049 | DOI Listing |
JBI Evid Synth
January 2025
University of Alberta, Edmonton, AB, Canada.
Objective: This review synthesizes qualitative research about the experiences of parental caregivers enhancing their children's health after making the decision to not vaccinate their preschool children. This review aims to help health care providers understand the parental work involved in caring for under-vaccinated or unvaccinated children.
Introduction: Much of the current qualitative research literature about parents who are vaccine-hesitant or who decide not to vaccinate their children focuses on parental perceptions about the safety and efficacy of vaccines and decision-making.
Tuberculosis (TB) is historically the world's deadliest infectious disease. New TB drugs that can avoid pre-existing resistance are desperately needed. The β-lactams are the oldest and most widely used class of antibiotics to treat bacterial infections but, for a variety of reasons, they were largely ignored until recently as a potential treatment option for TB.
View Article and Find Full Text PDFJ Orthop Case Rep
January 2025
Department of Orthopaedic Surgery, Murup Hospital, Changwon, South Korea.
Introduction: Medial open wedge-high tibial osteotomy (MOW-HTO) is a standard procedure for treating moderate varus arthritis in active adults. The reason for its popularity is having lesser complications than other types of HTO. However, it is not devoid of challenges.
View Article and Find Full Text PDFGenerative models hold great potential, but only if one can trust the evaluation of the data they generate. We show that many commonly used quality scores for comparing two-dimensional distributions of synthetic vs. ground-truth data give better results than they should, a phenomenon we call the "grade inflation problem.
View Article and Find Full Text PDFSci Rep
January 2025
College of Energy and Transportation Engineering, Inner Mongolia Agricultural University, Hohhot, 010010, China.
In the face of forest fire emergencies, fast and efficient dispatching of rescue vehicles is an important means of mitigating the damage caused by forest fires, and is an effective method of avoiding secondary damage caused by forest fires, minimizing the damage caused by forest fires to the ecosystem, and mitigating the losses caused by economic development. this paper takes the actual problem as the starting point, constructs a reasonable mathematical model of the problem, for the special characteristics of the emergency rescue vehicle scheduling problem of forest fires, taking into account the actual road conditions in the northern pristine forest area, through the analysis of the cost of paths between the forest area and the highway, to obtain the least obstructed rescue paths, to narrow the gap between the theoretical model and the problem of the actual. Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm's solution efficiency and accuracy, through the northern pristine forest area of Daxing'anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!