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http://dx.doi.org/10.1093/eurheartjsupp/suac065 | DOI Listing |
Vestn Oftalmol
December 2024
Northern State Medical University, Arkhangelsk, Russia.
Unlabelled: Intrinsic capacity and quality of life of older adults are determined by many factors, including the functional state of the organ of vision.
Purpose: This study assessed the visual functions of elderly residents of Northern European Russia and examined the relationship between visual impairment and sociodemographic characteristics, ophthalmic conditions, and preservation of work capacity and social functions.
Material And Methods: This cross-sectional study included a random population sample of older adults (ages 60-74) from Arkhangelsk, Russia (=604).
Virol J
December 2024
Virology Department, Croatian Veterinary Institute, Zagreb, Croatia.
Background: Canine adipose-derived mesenchymal stem cells (cAD-MSCs) demonstrate promising tissue repair and regeneration capabilities. However, the procurement and preservation of these cells or their secreted factors for therapeutic applications pose a risk of viral contamination, and the consequences for cAD-MSCs remain unexplored. Consequently, this research sought to assess the impact of canid alphaherpesvirus 1 (CHV) on the functional attributes of cAD-MSCs, including gene expression profiles and secretome composition.
View Article and Find Full Text PDFPLoS Negl Trop Dis
December 2024
Life Science Research Centre, Faculty of Science, University of Ostrava, Ostrava, Czechia.
Leishmania is a genus of the family Trypanosomatidae that unites obligatory parasitic flagellates causing a variety of vector-borne diseases collectively called leishmaniasis. The symptoms range from relatively innocuous skin lesions to complete failures of visceral organs. The disease is exacerbated if a parasite harbors Leishmania RNA viruses (LRVs) of the family Pseudototiviridae.
View Article and Find Full Text PDFJ Imaging
December 2024
European Commission, Joint Research Centre (JRC), Via Enrico Fermi 2749, 21027 Ispra, Italy.
In this paper, we face the point-cloud segmentation problem for spinning laser sensors from a deep-learning (DL) perspective. Since the sensors natively provide their measurements in a 2D grid, we directly use state-of-the-art models designed for visual information for the segmentation task and then exploit the range information to ensure 3D accuracy. This allows us to effectively address the main challenges of applying DL techniques to point clouds, i.
View Article and Find Full Text PDFJ Cheminform
December 2024
Laboratory of Environmental Chemistry and Toxicology, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ensuring the safety of chemicals for environmental and human health involves assessing physicochemical (PC) and toxicokinetic (TK) properties, which are crucial for absorption, distribution, metabolism, excretion, and toxicity (ADMET). Computational methods play a vital role in predicting these properties, given the current trends in reducing experimental approaches, especially those that involve animal experimentation. In the present manuscript, twelve software tools implementing Quantitative Structure-Activity Relationship (QSAR) models were selected for the prediction of 17 relevant PC and TK properties.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!