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Chromosome-level genome assembly of black carp Mylopharyngodon piceus using Nanopore and Hi-C technologies.
Sci Data
January 2025
Department of Infectious Diseases and Public Health, City University of Hong Kong, Kowloon Tong, Hong Kong.
Black carp (Mylopharyngodon piceus) is one of the "four famous domestic fishes" in China and an important economic fish in freshwater aquaculture. A high-quality genome is essential for advancing future biological research and breeding programs for this species. In this study, we aimed to generate a high-quality chromosome-level genome assembly of black carp using Nanopore and Hi-C technologies.
View Article and Find Full Text PDFSupporting parents in the transition to parenthood through wellbeing interventions; An international scoping review.
Midwifery
January 2025
College of Nursing and Health Sciences, Caring Futures Institute, Flinders University, Tarntanya, South Australia, Australia; Preventive Health SA, South Australia, Australia.
Problem: Many first-time parents experience poor wellbeing during the transition to parenthood.
Background: The transition to parenthood can be challenging, with consequences to wellbeing for many first-time parents. While parents are often well-supported to care for their children, there are minimal supports available to care for themselves.
Establishment and Evaluation of Atmospheric Water Vapor Inversion Model Without Meteorological Parameters Based on Machine Learning.
Sensors (Basel)
January 2025
College of Geology Engineering and Geomatics, Chang'an University, Xi'an 710054, China.
Precipitable water vapor (PWV) is an important indicator to characterize the spatial and temporal variability of water vapor. A high spatial and temporal resolution of atmospheric precipitable water can be obtained using ground-based GNSS, but its inversion accuracy is usually limited by the weighted mean temperature, Tm. For this reason, based on the data of 17 ground-based GNSS stations and water vapor reanalysis products over 2 years in the Hong Kong region, a new model for water vapor inversion without the Tm parameter is established by deep learning in this paper, the research results showed that, compared with the PWV information calculated by the traditional model using Tm parameter, the accuracy of the PWV retrieved by the new model proposed in this paper is higher, and its accuracy index parameters BIAS, MAE, and RMSE are improved by 38% on average.
View Article and Find Full Text PDFPredicting Semen Analysis Parameters from Testicular Ultrasonography Images Using Deep Learning Algorithms: An Innovative Approach to Male Infertility Diagnosis.
J Clin Med
January 2025
Department of Urology, Faculty of Medicine, Recep Tayyip Erdogan University, 53000 Rize, Turkey.
Semen analysis is universally regarded as the gold standard for diagnosing male infertility, while ultrasonography plays a vital role as a complementary diagnostic tool. This study aims to assess the effectiveness of artificial intelligence (AI)-driven deep learning algorithms in predicting semen analysis parameters based on testicular ultrasonography images. This study included male patients aged 18-54 who sought evaluation for infertility at the Urology Outpatient Clinic of our hospital between February 2022 and April 2023.
View Article and Find Full Text PDFPre-Type 1 Diabetes in Adolescents and Teens: Screening, Nutritional Interventions, Beta-Cell Preservation, and Psychosocial Impacts.
J Clin Med
January 2025
Young Leaders Advocacy Group, Diabetes Research Institute Foundation, Hollywood, FL 33021, USA.
Type 1 Diabetes (T1D) is a progressive autoimmune disease often identified in childhood or adolescence, with early stages detectable through pre-diabetic markers such as autoantibodies and subclinical beta-cell dysfunction. The identification of the pre-T1D stage is critical for preventing complications, such as diabetic ketoacidosis, and for enabling timely interventions that may alter disease progression. This review examines the multifaceted approach to managing T1D risk in adolescents and teens, emphasizing early detection, nutritional interventions, beta-cell preservation strategies, and psychosocial support.
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