We present the crystallographic analysis, superconducting characterization and theoretical modeling of LiBi, that contains the lightest and the heaviest nonradioactive metal. The compound crystallizes in a tetragonal (CuAu-type) crystal structure with Bi square nets separated by Li planes (parameters = 3.3636(1) Å and = 4.2459(2) Å, c/a = 1.26). Superconducting state was studied in detail by magnetic susceptibility and heat capacity measurements. The results reveal that LiBi is a moderately coupled type-I superconductor (λ = 0.66) with = 2.48 K and a thermodynamic critical field H(0) = 157 Oe. Theoretical studies show that bismuth square net is responsible for superconductivity in this compound, but the coupling between the Li planes and Bi planes makes a significant contribution to the superconductivity.
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http://dx.doi.org/10.1021/acs.chemmater.0c00179 | DOI Listing |
Food Funct
January 2025
Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
: The study aims to explore the association between intake of dietary flavonoids and global cognition, domain-specific cognition and mild cognitive impairment (MCI) in middle-aged and older adults in China. : A cross-sectional study. : This study used baseline data collected during 2021-2023 from the Chinese Square Dance Cohort.
View Article and Find Full Text PDFEnviron Int
January 2025
Swiss Tropical and Public Health Institute, Allschwil, Switzerland; Department of Public Health, University of Basel, Basel, Switzerland. Electronic address:
Background: The independent and interrelated long-term effects of the exposome such as air pollution, greenness, and ambient temperature on lung function are not well understood, yet relevant in the light of climate change.
Methods: Pre-bronchodilation FEV1 from five mature birth cohorts (N = 4724) and three adult cohorts (N = 6052) from five European countries were used to assess cross-sectional associations with air pollution, greenness, and ambient temperature, assigned to their residential address. All two-way interactions and square terms were a priori included in building the final elastic net regression model.
J Imaging Inform Med
January 2025
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China.
While radiation hazards induced by cone-beam computed tomography (CBCT) in image-guided radiotherapy (IGRT) can be reduced by sparse-view sampling, the image quality is inevitably degraded. We propose a deep learning-based multi-view projection synthesis (DLMPS) approach to improve the quality of sparse-view low-dose CBCT images. In the proposed DLMPS approach, linear interpolation was first applied to sparse-view projections and the projections were rearranged into sinograms; these sinograms were processed with a sinogram restoration model and then rearranged back into projections.
View Article and Find Full Text PDFNeurology
February 2025
Department of Advanced Biomedical Sciences, University "Federico II," Naples, Italy.
Background And Objectives: Although multiple sclerosis (MS) can be conceptualized as a network disorder, brain network analyses typically require advanced MRI sequences not commonly acquired in clinical practice. Using conventional MRI, we assessed cross-sectional and longitudinal structural disconnection and morphometric similarity networks in people with MS (pwMS), along with their relationship with clinical disability.
Methods: In this longitudinal monocentric study, 3T structural MRI of pwMS and healthy controls (HC) was retrospectively analyzed.
BMC Public Health
January 2025
Department of Oral Public Health, Dental Research Center, Dental Research Institute, Dental School, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The utilization of dental care is affected by different factors. Despite the importance of dental care, there are significant disparities in its utilization among various population groups. The aim of this study was to identify the main factors of dental care utilization and the influences of the Health Transformation Plan (HTP) in Iran based on the Anderson model.
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