The use of graphs to analyze cerebrovascular networks is quite common in studies of the microcirculation. While we have learned a lot from studies utilizing graphs as a tool for the analysis of microvessels, most methodologies for these procedures have only been described in brief and most are not publicly accessible. In this work, we introduce the foundation for an anticipated open-source framework that we hope will streamline the analysis of cerebrovascular structure. We believe that a standardized and accessible framework for the analysis vascular filaments is not only needed, but is necessary, for studies charting the microcirculation on image volumes spanning several grains of tissue. We set forth the foundations for a comprehensive and complete framework in our current work.
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http://dx.doi.org/10.1109/EMBC.2018.8512331 | DOI Listing |
Front Sports Act Living
January 2025
Graduate School of Health and Sports Science, Juntendo University, Inzai, Japan.
Introduction: Marathon running has become increasingly popular among amateur athletes, many of whom maintain speeds of 8-9 km/h. However, existing methods for estimating oxygen consumption (VO) during running and walking-such as the American College of Sports Medicine (ACSM) equations and commercial activity monitors-often lack accuracy and transparency. This study introduces the Hata-Yanagiya Physical Activity Calculation (HYPAC) system, a novel approach for estimating VO using Global Positioning System (GPS) and map data.
View Article and Find Full Text PDFSci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Center for Innovative Drug Development and Therapeutic Trials for Africa (CDT-Africa), College of Health Sciences, Addis Ababa University, P.O. Box 9086, Addis Ababa, Ethiopia.
Background: Africa's involvement in clinical trials remains very low. Although the crucial role of training initiatives in building clinical trial capacity in Africa has been documented, current efforts fall short as they lack alignment with local contexts. This study aimed to design, develop, implement, and evaluate an innovative clinical trial operations training program for Africa.
View Article and Find Full Text PDFFront Digit Health
January 2025
Khoury College of Computer Sciences and Bouvé College of Health Sciences, Northeastern University, Boston, MA, United States.
Smartphones and wearable sensors offer an unprecedented ability to collect peripheral psychophysiological signals across diverse timescales, settings, populations, and modalities. However, open-source software development has yet to keep pace with rapid advancements in hardware technology and availability, creating an analytical barrier that limits the scientific usefulness of acquired data. We propose a community-driven, open-source peripheral psychophysiological signal pre-processing and analysis software framework that could advance biobehavioral health by enabling more robust, transparent, and reproducible inferences involving autonomic nervous system data.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Maternal, Adolescent, Reproductive, & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK.
Background: The Every Newborn Action Plan (ENAP) indicators are essential in monitoring neonatal healthcare coverage and quality. The District Health Information System (DHIS2), an open-source platform in over 80 countries, supports health data collection and analysis, enabling progress tracking at national and subnational levels. This study evaluates the availability and quality of maternal and newborn health indicators, explicitly focusing on ENAP indicators within Tanzania's DHIS2.
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