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Altered cerebral gray matter volume and functional connectivity in patients with residual dizziness of benign paroxysmal positional vertigo.
Clin Radiol
December 2024
Department of Neurology, The Second Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China. Electronic address:
Aim: To provide a theoretical basis for the study of the pathogenesis of residual dizziness (RD) from the perspective of imaging.
Materials And Methods: The general clinical data of the RD group and healthy control (HC) group were statistically analysed by two independent sample t tests, rank sum tests or chi-square tests. The imaging data of the two groups of people were preprocessed and statistically analysed by using the data processing and analysis for brain imaging (DPABI) software package.
Individualized symptom experience and predictors in cancer patients after oesophagectomy: A latent profile analysis.
Eur J Oncol Nurs
January 2025
School of Nursing, Anhui Medical University, China. Electronic address:
Purpose: In the care for oesophageal cancer, symptom assessment was mainly carried out from the perspective of the total score using scales, which ignored individual differences in symptom experience among patients. To provide personalized symptom management, individual differences among patients with oesophageal cancer warranted further investigation. The objective was to identify the different symptom profiles of patients after oesophagectomy and examine the risk factors affecting the symptom profiles.
View Article and Find Full Text PDFElectrochemical reduction for chlorinated hydrocarbons contaminated groundwater remediation: Mechanisms, challenges, and perspectives.
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State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), 1#, Dongsanlu, Erxianqiao, Chengdu 610059, Sichuan, PR China; State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution (Chengdu University of Technology), 1#, Dongsanlu, Erxianqiao, Chengdu 610059, Sichuan, PR China. Electronic address:
Electrochemical reduction technology is a promising method for addressing the persistent contamination of groundwater by chlorinated hydrocarbons. Current research shows that electrochemical reductive dechlorination primarily relies on direct electron transfer (DET) and active hydrogen (H) mediated indirect electron transfer processes, thereby achieving efficient dechlorination and detoxification. This paper explores the influence of the molecular charge structure of chlorinated hydrocarbons, including chlorolefin, chloroalkanes, chlorinated aromatic hydrocarbons, and chloro-carboxylic acid, on reductive dechlorination from the perspective of molecular electrostatic potential and local electron affinity.
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The Third Affiliated Hospital of Xinxiang Medical University, Henan, China.
Osteoarthritis (OA) is a chronic joint condition affecting millions worldwide, characterized by the gradual degeneration of joint cartilage, leading to pain, stiffness, and functional impairment. Although the pathogenesis of OA is not fully understood, the roles of inflammation, metabolic dysregulation, and biomechanical stress are increasingly recognized. Current treatments, including pharmacotherapy, physical therapy, and surgical interventions, aim to alleviate symptoms and improve quality of life, yet they face limitations and challenges.
View Article and Find Full Text PDFThe Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.
J Med Internet Res
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School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
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