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http://dx.doi.org/10.1001/jama.2014.17454 | DOI Listing |
PLoS One
January 2025
School of Management, University of Scienceand Technology of China, Hefei, Anhui, China.
Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach.
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January 2025
Department of Orthopaedics, Lanzhou University Second Hospital, Lanzhou, Gansu Province, China.
Purpose: This meta-analysis was carried out to evaluate the clinical effectiveness of rotator cuff repair surgery in treating rotator cuff tears in individuals with mild glenohumeral osteoarthritis (GHOA).
Methods: A computer-based search was conducted across multiple databases including PubMed, Embase, Web of Science, and Cochrane Library using the keywords "Shoulder Joints", "Osteoarthrosis", and "rotator cuff". Only studies focusing on patients with GHOA who underwent rotator cuff repair were considered for inclusion.
PLoS One
January 2025
Escuela de Ingeniería Industrial, Universidad Señor de Sipán, Chiclayo, Perú.
The primary purpose of electronic government (e-government) is to promote transparency, facilitate access to government services, and strengthen the accountability of public institutions in the digital transformation age. However, few studies have explored the factors that affect women's adoption of e-government, especially in emerging economies. Consequently, this study aims to identify the factors that influence the adoption of e-government services by young women in Medellín, Colombia.
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January 2025
Faculty of Life and Environmental Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.
The COVID-19 pandemic triggered social and economic stagnation worldwide, significantly impacting people's lives. In addition, the Russia-Ukraine war that began in 2022 resulted in rising food prices globally, severely affecting low- and middle-income countries. This study aimed to examine the impact of these unprecedented crises on individual values, focusing on Senegal's urban population.
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January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh, Kingdom of Saudi Arabia.
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent advancements in machine learning offer potential solutions. Traditional prediction models, often limited by default parameters, have been superseded by more sophisticated approaches.
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