Publications by authors named "Linwei Hu"

Background: Rheumatoid arthritis (RA) is one complex chronic autoimmune disease, resulting body pain and badly affect the health of RA patients. Zinc finger and BTB domain containing 16 (ZBTB16) has been reported to participate into many diseases including osteoarthritis and osteoporosis.

Objective: To verify the regulatory functions of ZBTB16 in RA progression keep dimness.

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Purpose: This study aimed to translate the Fear of Falling Avoidance Behavior Questionnaire (FFABQ) into Traditional Chinese (FFABQ-TC) and to evaluate the psychometric properties of FFABQ-TC in Taiwanese adults.

Methods: We translated and culturally adapted the FFABQ into Traditional Chinese, ensuring linguistic accuracy and cultural relevance. A total of 230 Taiwanese community-dwelling adults participated in the study.

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The intricacy of the Deep Learning (DL) landscape, brimming with a variety of models, applications, and platforms, poses considerable challenges for the optimal design, optimization, or selection of suitable DL models. One promising avenue to address this challenge is the development of accurate performance prediction methods. However, existing methods reveal critical limitations.

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This document compiles the data related to a high temperature heat injection test, which was carried out at an injection temperature of 74 °C in a shallow aquifer and is presented by Heldt et al. [1]. The data set contains transient measurements of temperatures at 18 wells in 10 depths and measurements of the experimental boundary conditions (injection temperature and flow rate) at a temporal resolution of up to 1 min.

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Objective: To explore the prevalence of osteoporosis (OP) and vertebral osteoporotic fracture (OPF) and related risk factors in patients with rheumatoid arthritis (RA).

Method: A total of 644 patients with RA from Jan. 2010 to Oct.

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Objectives: This paper aims to investigate the influence of single-nucleotide polymorphisms (SNPs) in the receptor of activator of nuclear factor kappaB ligand (RANKL) gene (TNFSF11) and osteoprotegerin (OPG) gene (TNFRSF11B) on bone and joint injury in patients with rheumatoid arthritis (RA).

Methods: Two hundred RA patients and 201 matched controls were analysed by case-control design, and their samples were genotyped. Bone mineral density (BMD) and serum OPG and RANKL levels were measured.

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