The kinetics of UV inactivation of the tick-borne Kemerovo (strain R-10) and Lipovnik (strain Lip-91) viruses which have been preliminarily classified as possible members of the Reovirus group was examined. Reovirus 3 and Sindbis virus served as reference double-stranded RNA and single-stranded RNA viruses, respectively. The parameters of UV inresembled those of Reovirus 3. This is consistent with their tentative classification as reovirus-like viruses.
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BioDrugs
January 2025
Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Background: Psoriatic arthritis (PsA) is a common comorbidity in patients with psoriasis (PsO) that leads to significant disease burden. Biologic therapies targeting the interleukin (IL)-23/IL-17 axis have been widely used for PsO, but their comparative effectiveness in preventing PsA remains unclear.
Objective: The study objective was to compare the occurrence of developing incidental PsA among PsO patients treated with interleukin-23 inhibitors (IL23is) or interleukin-17 inhibitors (IL17is).
Int J Cardiovasc Imaging
January 2025
Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MPXA-2000) in lesion detection and quantification using manual QCA as the reference standard, and to demonstrate its superiority over visual estimation. This multi-center retrospective study analyzed 1,076 coronary angiography images obtained from 420 patients, comparing AI-QCA and visual estimation against manual QCA as the reference standard.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science and Technology, Donghua University, Shanghai, 201620, China.
Extracting high-order abstract patterns from complex high-dimensional data forms the foundation of human cognitive abilities. Abstract visual reasoning involves identifying abstract patterns embedded within composite images, considered a core competency of machine intelligence. Traditional neuro-symbolic methods often infer unknown objects through data fitting, without fully exploring the abstract patterns within composite images and the sequential sensitivity of visual sequences.
View Article and Find Full Text PDFNeurol Res
January 2025
Neurology Department, Faculty of Medicine, Cairo University, Giza, Cairo, Egypt.
Background: Endothelial dysfunction and inflammation are linked to migraine, which may contribute to atherogenesis and increase the risk of ischemia. In migraineurs, preclinical vascular involvement manifested as compromised structural characteristics of vessel wall has not received enough attention or evaluation.
Objectives: To measure plasma pentraxin 3 as an indicator of endothelial dysfunction in migraine in comparison to controls and to examine its correlation with clinical characteristics, headache severity, and brain magnetic resonance imaging findings.
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
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