The Biodosimetry Assessment Tool (BAT) is a computer program developed by the Armed Forces Radiobiology Research Institute (AFRRI) as an aid to provide early diagnostic information (clinical signs and symptoms, physical dosimetry, etc.) to health care providers responsible for the initial management of radiation casualties after a major radiation incident. It is designed primarily to permit collection, integration, and archiving of data obtained from patients accidentally exposed to ionizing radiation. BAT also provides an early estimate of radiation dose using the timing of prodromal symptoms, clinical data, and various aspects of the time-dependent hematology profile. Collection of relevant data is facilitated by use of structured templates and user-friendly software. The BAT software is illustrated here using five historical cases from the U.S. Radiation Accident Registry maintained by the Radiation Emergency Assistance Center/Training Site (REAC/TS) for the U.S. Department of Energy.
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http://dx.doi.org/10.1097/HP.0b013e3181ebcef7 | DOI Listing |
PLoS One
January 2025
Electrical Engineering Department, Faculty of Engineering, Al-Baha University, Al-Baha, Saudi Arabia.
This paper investigates enhancing the efficiency of solar water pumping systems (SWPS) by implementing a Maximum Power Point Tracking technique based on the Bat Metaheuristic Optimizer (MPPT-bat) for the photovoltaic generator (PVG) side, coupled with Direct Torque Control (DTC) for the induction motor powering the pump. Unlike traditional techniques, which make no compromise between tracking speed, oscillation and robustness. The integration of the MPPT-bat represents a significant advance, making it possible to improve PVG performance whatever the weather conditions.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Power Electronics, Machines and Control (PEMC) Research Institute, University of Nottingham, 15 Triumph Rd, Lenton, Nottingham NG7 2GT, UK.
The accuracy of node localization plays a crucial role in the performance and reliability of wireless sensor networks (WSNs), which are widely utilized in fields like security systems and environmental monitoring. The integrity of these networks is often threatened by the presence of malicious nodes that can disrupt the localization process, leading to erroneous positioning and degraded network functionality. To address this challenge, we propose the security-aware localization using bat-optimized malicious anchor prediction (BO-MAP) algorithm.
View Article and Find Full Text PDFDiagnostics (Basel)
December 2024
Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.
Background/objectives: Brown adipose tissue (BAT) plays a crucial role in energy expenditure and thermoregulation and has thus garnered interest in the context of metabolic diseases. Segmentation in medical imaging is time-consuming and prone to inter- and intra-operator variability. This study aims to develop an automated BAT segmentation method using the nnU-Net deep learning framework, integrated into the TotalSegmentator software, and to evaluate its performance in a large cohort of patients with lymphoma.
View Article and Find Full Text PDFJ Trauma Acute Care Surg
January 2025
From the Division of Trauma, Critical Care, Emergency Surgery, and Burns, Department of Surgery, College of Medicine, University of Arizona, Tucson, Arizona.
Cureus
December 2024
Nephrology, Hospital Clinic Barcelona, Barcelona, ESP.
Histoplasmosis, caused by the fungus , is a significant public health concern in endemic regions like Mexico. Immunocompromised individuals, especially those with HIV infection and those exposed to nitrogen-rich environments, such as bird excrement or bat guano, are particularly vulnerable. This case report describes a middle-aged patient with jaundice in the skin and mucous membranes.
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