Melioidosis, an emerging infectious disease caused by the Gram-negative bacillus , is massively underdiagnosed in many low- and middle-income countries. The disease is clinically extremely variable, has a high case fatality rate, and is assumed to be highly endemic in South Asian countries, including Nepal. The reasons for underdiagnosis include the lack of awareness among clinicians and laboratory staff and limited microbiological capacities. Because costly laboratory equipment and consumables are likely to remain a significant challenge in many melioidosis-endemic countries in the near future, it will be necessary to make optimum use of available tools and promote their stringent implementation. Therefore, we suggest that health facilities in resource-poor countries, such as Nepal, introduce a simple and low-cost diagnostic laboratory algorithm for the identification of cultures. This screening algorithm should be applied specifically to samples from patients with fever of unknown origin and risk factors for melioidosis, such as diabetes. In addition, there could also be a role of low-cost, novel, promising serological point-of-care tests, which are currently under research and development.
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http://dx.doi.org/10.1016/j.ijregi.2024.100377 | DOI Listing |
EJNMMI Phys
January 2025
Department of Nuclear Medicine, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China.
Single photon emission computed tomography (SPECT), a technique capable of capturing functional and molecular information, has been widely adopted in theranostics applications across various fields, including cardiology, neurology, and oncology. The spatial resolution of SPECT imaging is relatively poor, which poses a significant limitation, especially the visualization of small lesions. The main factors affecting the limited spatial resolution of SPECT include projection sampling techniques, hardware and software.
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January 2025
Imaging Laboratory (iLab), Varian Medical Systems, Siemens Healthcare, Baden, Switzerland.
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View Article and Find Full Text PDFAnal Methods
January 2025
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, Wuxi, Jiangsu 214122, P. R. China.
The field of electrochemical ammonia synthesis has made rapid advancements, attracting a large number of scientists to contribute to this area of research. Accurate detection of ammonia is crucial in this process for evaluating the efficiency and selectivity of electrocatalysts. In this study, we systematically investigate the indophenol blue method for ammonia detection, examining the effects of key factors such as solution pH, nitrate concentration, and metal ion concentration on measurement accuracy.
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January 2025
School of Information and Communication Engineering, Hainan University, Haikou, China.
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.
View Article and Find Full Text PDFData Brief
February 2025
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
This study presents a comprehensive ultrasound image dataset for Non-Alcoholic Fatty Liver Disease (NAFLD), addressing the critical need for standardized resources in AI-assisted diagnosis. The dataset comprises 10,352 high-resolution ultrasound images from 384 patients collected at King Saud University Medical City and National Guard Health Affairs in Saudi Arabia. Each image is meticulously annotated with NAFLD Activity Score (NAS) fibrosis staging and steatosis grading based on corresponding liver biopsy results.
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