The aim of the study was to ascertain the influence of AІТ on the formation of autoimmune damage to ovaries by determining the connections between the levels of AOAB, ATPO, gonadotropic and sex hormone levels, and the functional state of the ovaries and thyroid gland. 198 girls age 10-18 were studied: 166 with AIT (AIT+ Group), и 32- without AIT (the AIT- Group). A defined difference between TTH. and ATPO, was revealed, which is explained by the presence of thyroid pathology in the AIT+ Group. Prolactin levels and ovarian volume were notably higher, while Progesterone levels were lower in the AIT+ Group. No discernable differences among levels of AOAB, sex hormones, Estrogen, Testosterone or antral follicules were observed. A direct correlation was revealed between AOAB levels and the girls' age both in the AIT+ and AIT- groups. AOAB data was divided into three tertials in order to study links with various hormonal homeostasis. Analysis of data obtained showed numerous correlative links between ATPO, AOAB, gonadotropins, sex hormones, TTH and ovarian volume in all tertials of both the AIT+ and AIT- groups; correlative links were found, too, between AOAB and ATPO in the III tertial groups AIT+ and AIT-. In adolescents with AIT disbalance occurs at all levels of hormonal homeostasis as well as in ovarian structure. Such changes and the presence of ATPO and AOAB may be associated with emerging autoimmune ovary damage.
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J Med Internet Res
January 2025
Psychological Institute and Network Aging Research, Heidelberg University, Heidelberg, Germany.
Background: Immersive virtual reality (iVR) has emerged as a training method to prepare medical first responders (MFRs) for mass casualty incidents (MCIs) and disasters in a resource-efficient, flexible, and safe manner. However, systematic evaluations and validations of potential performance indicators for virtual MCI training are still lacking.
Objective: This study aimed to investigate whether different performance indicators based on visual attention, triage performance, and information transmission can be effectively extended to MCI training in iVR by testing if they can discriminate between different levels of expertise.
J Asthma Allergy
January 2025
Department of Otolaryngology-Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Background: The role of memory B cells and their subgroups in allergic rhinitis (AR) and allergen immunotherapy (AIT) remains unclear. This study aimed to investigate the characteristics of memory B cells in the circulation of patients with AR and those undergoing AIT, as well as their clinical significance.
Methods: This study involved a cohort comprising 32 healthy control subjects, 39 individuals diagnosed with AR, and 31 AR patients who had received AIT for over one year.
ACS Omega
January 2025
Department of Applied Chemistry, Faculty of Applied Sciences Ait Melloul, Ibn Zohr University, Agadir 60000, Morocco.
The objective of the study was to synthesize tetrazole molecules featuring nitro groups positioned at the para and meta locations. We aimed to assess their effectiveness in inhibiting corrosion of mild steel in a 1 M HCl solution at 298 K. Tetrazoles with 2,5-disubstitution were created using [3 + 2] cycloaddition and N-alkylation techniques, with a particular emphasis on synthesizing molecules that contain nitro groups.
View Article and Find Full Text PDFAcc Chem Res
January 2025
Helmholtz Institute Ulm (HIU) Electrochemical Energy Storage, Helmholtzstrasse 11, 89081 Ulm, Germany.
ConspectusLithium-ion batteries (LIBs) based on graphite anodes are a widely used state-of-the-art battery technology, but their energy density is approaching theoretical limits, prompting interest in lithium-metal batteries (LMBs) that can achieve higher energy density. In addition, the limited availability of lithium reserves raises supply concerns; therefore, research on postlithium metal batteries is underway. A major issue with these metal anodes, including lithium, is dendritic formation and insufficient reversibility, which leads to safety risks due to short circuits and the use of flammable electrolytes.
View Article and Find Full Text PDFEntropy (Basel)
January 2025
Computational Neuroscience Group, Universitat Pompeu Fabra, 08005 Barcelona, Spain.
In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. Here, we study the dynamical aspects of this framework by examining how the requirement of tracking natural data drives the structural and dynamical properties of the agent. We first formalize the notion of a using the language of symmetry from group theory, specifically employing Lie pseudogroups to describe the continuous transformations that characterize invariance in natural data.
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