Developing an Ethical Scale to Measure Instagram Use Motivation Among College Students: Investigating Demographic Factors by Fereshteh Lotfi, Farid Ahmadi, Mahsa Esmailirad

“…Statistical methods including t-tests, one-way analysis, and Friedman test were used to analyze the data. …”
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Measuring fintech-driven financial inclusion for developing countries: Comprehensive Digital Financial Inclusion Index (CDFII) by Banna Banik, Chandan Kumar Roy

“…Methods ― The study employs a three-stage principal component analysis (PCA) to construct the CDFII and TFII using the latest available data from 31 developing countries during the period 2015-2021. …”
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Developing a Model for Disciplinary Writing Expertise in Postgraduate Teaching English as a Foreign Language Programs by Farzaneh Dehghan, Seyed Ayatoallah Razmjo

“…In-depth interviews with 28 postgraduate students of Teaching English as a Foreign Language (TEFL) were collected and research papers written by these students were used to collect data. Based on substantive considerations and the results of the content analysis, five subcomponents of DWE were identified including strategic, genre, rhetorical, subject matter and discourse community knowledge components. …”
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Generative AI chatbot for teachers’ data-informed decision-making: Effects and insights by Jiwon Lee and Jeongmin Lee

“…Teachers’ instructional decisions rely on effective data collection, analysis, and interpretation. Generative artificial intelligence (AI) offers flexible and efficient support for these processes. …”
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Developing a near-infrared spectroscopy calibration algorithm for soil organic carbon content in South Africa by Willie Herman Cloete, Gerhard du Preez, George Munnik Van Zijl

“…This study aimed to develop a NIR spectroscopy calibration algorithm for SOC content, specific to South Africa. …”
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The role of personality and home office practices in developing organizational commitment: The post-COVID-19 Hungarian case by Anita Kozák, Ervin István Markó, Gabor Arva

“…Therefore, this study seeks to investigate whether the relationships between the Big Five personality traits and the three facets of organizational dedication still exist in the post-COVID-19 era characterized by an ever-increasing adoption of remote working and, if so, to reveal whether remote working arrangements shape these relationships. Using data collected from 730 Hungarian employees working in various industries in late 2023 via a self-administered questionnaire and employing PLS-SEM analysis, the study confirms that personality-commitment relationships persist in the post-COVID-19 era. …”
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Developing nurse and midwife centred rostering principles using co-design: a mixed-methods study by Sara Holton, Bodil Rasmussen, Karrie Long, Madison Bellizia, Jac C. Mathieson, Shane Crowe, Douglas Mill, Harry Pasion, Claire Rankin, Maree Woodhouse, Meaghan Douglas, Nadine Glanville, Kylie Baker, Kethly Fallon, Megan Hoffmann, Nicole Sliwa, Denise Heinjus, Lisa Fitzpatrick, Paul Gilbert

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ON THE CREATION OF THE AUTOMATION SYSTEM RELATED TO SOCIAL-ECONOMIC MOVEMENTS OF PEOPLE by L. V. Rudikova, V. V. Danilchik

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SARS-CoV-2 infection heightens the risk of developing HPV-related carcinoma in situ and cancer by Yu-Hsiang Shih, Chiao-Yu Yang, Chia-Chi Lung

“…Abstract Objective This study aims to investigate the impact of SARS-CoV-2 infection on HPV-related cancer and carcinoma in situ. Method We utilized data from TriNetX, a database encompassing 106 healthcare organizations spanning 15 countries and comprising information from over 124 million participants. …”
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Developing a master of science in health research ethics program in Northern Nigeria: a needs assessment by Caitlin Bieniek, Fatimah I. Tsiga-Ahmed, Aishatu L. Adamu, Usman J. Wudil, C. William Wester, Zubairu Iliyasu, Muktar H. Aliyu, Elisa J. Gordon, Elizabeth S. Rose

“…Within these overarching themes, the data points were grouped into subthemes. Results Four primary themes emerged with ten subthemes. …”
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Exploring spousal disparities: Age, earnings, and education as predictors of intimate partner violence in 29 developing countries by Rafi Amir-ud-Din, Rubina Idrees, Javaria Farooqui, Abdus Sattar Abbasi

“…Design: We used a cross-sectional design, analyzing data from the Integrated Public Use Microdata Series-Demographic and Health Surveys (IPUMS-DHS). …”
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High-content screening (HCS) workflows for FAIR image data management with OMERO by Riccardo Massei, Wibke Busch, Beatriz Serrano-Solano, Matthias Bernt, Stefan Scholz, Elena K. Nicolay, Hannes Bohring, Jan Bumberger

“…The three developed workflows demonstrate the transition from a local file-based storage system to an automated and agile image data management framework. …”
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Assessment of the risk of developing type 2 diabetes mellitus in patients with gout based on the FINDRISС scale by O. V. Zhelyabina, M. S. Eliseev, M. N. Chikina, T. S. Panevin

“…Initially, the risk of developing diabetes mellitus 2 was calculated according to the Russian version of the FINDRISС scale. …”
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Developing and testing a mobile application for imparting knowledge: the positive birth experience guideline to midwifery students by Mahsa Maghalian, Sina Veisi, Mojgan Mirghafourvand, Mansour Rezaei, Taha Samad-Soltani, Asma Naghizadeh, Solmaz Ghanbari-Homaie

“…After one month of using the application, 30 midwifery students from Tabriz University of Medical Sciences in Tabriz, Iran completed knowledge (posttest) and evaluation questionnaires. The data was analyzed using SPSS Version 24 software. …”
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Vers les analyses algorithmiques de l'espace et des territoires by Claire Bailly, Jean Magerand

“…Big data, data mining and machine learning are undergoing unprecedented development. …”
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The Application Status and Trends of Data-Intelligence Technology in the Diagnosis of Lysosomal Storage Diseases by DU Xinyu, WANG Shengfeng, XIE Jing, GUO Jian, ZHANG Shuyang

“…The studies focusing on the application of digital-intelligence technologies in LSD diagnosis were included. A qualitative analysis was performed, categorizing and summarizing research based on the types of digital-intelligence technologies employed, and exploring future development trends.ResultsThe analysis revealed that digital-intelligence technologies, particularly in areas such as big data storage and management, data mining and analytics, machine learning, natural language processing, and computer vision, held significant potential for early screening and diagnosis of LSD. …”
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Application of PFI-4DVar Data Assimilation Technique to Nowcasting of Numerical Model by Jiang Wenjing, Liang Xudong

“…The water vapor in assimilated ground and sounding data, the dynamic field in assimilated radar radial wind data and the appropriate cumulus parameterization scheme make the amplitude of divergence in high-level and convergence in low-level in analysis field of assimilation test much stronger than those in background field, thus creating vertical motion. …”
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Developing and validating a knowledge, attitude, and practice questionnaire regarding dengue among secondary schoolchildren in Malaysia by Rahmat Dapari, Kalaivani Muniandy, Lim Chee Hwa, Suhaili Abu Bakar, Mohd Nasir Mohd Desa, Sukhvinder Singh Sandhu, Nooreen Farzana Mustapha, Mohd ‘Ammar Ihsan Ahmad Zamzuri, Mohd Rohaizat Hassan, Nazri Che Dom, Syed Sharizman Syed Abdul Rahim

“…Questionnaires serve as essential tools in research, allowing for standardized measurement of knowledge, attitudes, and practices, which supports accurate data collection and meaningful analysis. Methods The development and evaluation process (structure and content) involved consultations with eight experts including public health medicine specialists, medical officers, behavioural insights officer, academician, and entomologist, to ensure the relevance and comprehensiveness of the questionnaires. …”
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Developing an adaptive paediatric intensive care unit platform trial with key stakeholders: a qualitative study by Kerry Woolfall, Mark J Peters, Padmanabhan Ramnarayan, Elizabeth Deja, Jennifer Preston, Paul R Mouncey, Julie C Menzies, Doug William Gould, Tracy Karen Mitchell, Shelley Marsh, Jennifer Ainsworth, Hannah Sedgwick, Carly Tibbins

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Land Use Change Forcing Data Undermine the Modeling of China's Greening Efforts by Ziyu Wang, Weiqing Zhao, Sen Cao, Pengjun Zhao, Yuhang Luo, Dajing Li, Ziyun Sun, Zaichun Zhu

“…By developing a high‐resolution forest cover change data set, we found that LUH2‐GCB, the common land use input for DGVMs, causes models to underestimate afforestation. …”
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