Rabies is a neglected zoonotic disease caused by a virus. It is an acute progressive neurological disease that affects people in many parts of the world, especially in low income countries including Somalia and it is always lethal once symptoms appear without immediate post-exposure prophylaxis (PEP). Nearly half of rabies cases occur in children. This case report presents a tragic and unique clinical scenario involving a 14-year-old boy from a rural area in Somalia who presented to our tertiary hospital after a bite from a honey badger. The patient's younger sister, who was also bitten by the same honey badger, sadly succumbed to the disease two weeks prior. This report aims to contribute to the medical literature by highlighting the challenges faced in diagnosing and managing rabies in resource-constrained settings.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10838048 | PMC |
http://dx.doi.org/10.2147/OAEM.S439996 | DOI Listing |
Sci Rep
December 2024
Department of Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Semmancheri, Chennai, 600119, India.
Image fusion is generally utilized for retrieving significant data from a set of input images to provide useful informative data. Image fusion enhances the applicability and quality of data. Hence, the analysis of multimodal image fusion is a new to the research topic, which is designed by combining the images of multimodal into single image in order to preserveexact details.
View Article and Find Full Text PDFComput Biol Med
January 2025
Electrical Engineering Department, Amirkabir University of Technology, No. 350, Hafez Ave, Valiasr Square, 15875-4413, Tehran, 159163-4311, Iran. Electronic address:
Cancer, a pervasive and devastating disease, remains a leading global cause of mortality, emphasizing the growing urgency for effective detection methods. Gene Expression Microarray (GEM) data has emerged as a crucial tool in this context, offering insights into early cancer detection and treatment. While deep learning methods offer promise in detecting various cancers through GEM analysis, they suffer from high dimensionality inherent in gene sequences, preventing optimal detection performance across diverse cancer types.
View Article and Find Full Text PDFSci Rep
November 2024
Electrical Power and Machines Department, Faculty of Engineering, Zagazig University, Zagazig, 44519, Egypt.
This study introduces three soft computing (SC) optimization algorithms aimed at enhancing the efficiency of photovoltaic water pumping systems (PVWPS). These algorithms include the Gorilla Troop Algorithm (GTO), Honey Badger Algorithm (HBA), and Snake Algorithm (SAO). The goal of the SC optimizers is to maximize the output power of the PV array (P) and enhance the efficiency of the DC motor (η), thereby optimizing the water flow rate (Q) of the pumping system.
View Article and Find Full Text PDFPLoS One
November 2024
Department of Electrical Engineering, Institute of Aviation Engineering and Technology, Giza, Egypt.
Solar photovoltaic (PV) cell modeling is crucial to understanding and optimizing solar energy systems. While the single-diode model (PVSDM) is commonly used, the double-diode model (PVDDM) offers improved accuracy at a reasonable level of complexity. However, finding analytical closed-form solutions for the current-voltage (I-U) dependency in PVDDM circuits has remained a challenge.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Electrical Engineering, Imam Khomeini Naval Science University of Nowshahr, Nowshahr, Iran.
The global surge in electric vehicle (EV) adoption has driven significant research into electric vehicle charging stations (EVCS) due to their environmentally friendly attributes, including low CO₂ emissions. However, integrating EVCS into existing distribution grids presents challenges such as power losses and voltage instability, especially with the increasing incorporation of renewable distributed generation (RDG) sources and battery energy storage systems (BESS). This study introduces a novel honey badger optimization algorithm (HBOA), designed to enhance solution convergence and optimize multi-objective criteria efficiently.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!