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Importance: Improving access to high-quality maternity care and reducing maternal morbidity and mortality are major policy priorities in the US. Previous research has primarily focused on access to general obstetric care rather than access to high-risk pregnancy care provided by maternal-fetal medicine subspecialists (MFMs).

Objective: To measure access to MFM services and determine patient factors associated with MFM service use, including MFM telemedicine.

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Introduction: Globally, the prevalence of undernutrition is highest in the sub-Saharan African region with over a third of the world's stunted children residing in this region. Many studies have explored child nutrition in sub-Saharan Africa, but they often overlook the intricate nuances of maternal knowledge. We examined the association between maternal nutritional knowledge and childhood nutritional outcomes.

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Background: Obstetric violence (OBV), defined as mistreatment or abuse during childbirth, is a pervasive global issue, albeit with regional differences, affecting women's physical and emotional well-being.

Objectives: The purpose of this systematic review and meta-analysis is to assess the prevalence of OBV to identify risk factors associated with OBV and to make suggestions for improving maternal healthcare practices and policies.

Search Strategy: In a systematic review and meta-analysis, we searched four electronic databases for studies published over 10 years up to 31 January 2024: Medline (PubMed), Scopus, Embase, and Web of Science (WOS).

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A Mobile App for Promoting Breastfeeding-Friendly Communities in Hong Kong: Design and Development Study.

JMIR Form Res

January 2025

School of Nursing, Li Ka Shing Faculty of Medicine, University of Hong Kong, 5/F, Academic Building, Pokfulam, Hong Kong, China (Hong Kong), 852 39176690.

Background: Breastfeeding is vital for the health and well-being of both mothers and infants, and it is crucial to create supportive environments that promote and maintain breastfeeding practices.

Objective: The objective of this paper was to describe the development of a breastfeeding-friendly app called "bfGPS" (HKU TALIC), which provides comprehensive territory-wide information on breastfeeding facilities in Hong Kong, with the goal of fostering a breastfeeding-friendly community.

Methods: The development of bfGPS can be categorized into three phases, which are (1) planning, prototype development, and preimplementation evaluation; (2) implementation and updates; and (3) usability evaluation.

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Multidimensional morphological analysis of live sperm based on multiple-target tracking.

Comput Struct Biotechnol J

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Department of Assisted Reproduction, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.

Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm.

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