From the Bubble to the Core. Long-Term Competitive Advantages for Emerging Markets through Innovation in the Extractive Industry by Thomas Gstraunthaler, Liliana Proskuryakova

“…The methodology of the research combines content analysis of major scientific publications and monitoring research results, as well as policy analysis of key national government regulations in place. …”
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A Framework for Current and New Data Quality Dimensions: An Overview by Russell Miller, Harvey Whelan, Michael Chrubasik, David Whittaker, Paul Duncan, João Gregório

“…The goal of this work was to conduct a comparative analysis of data quality terminology across different domains and structure it into a hierarchical data model. …”
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Investigating knowledge regarding antibiotics among pharmacy and allied health sciences students in a Sri Lankan university by Mohamed HF Sakeena, Alexandra A Bennett, Fahim Mohamed, Herath MDR Herath, Indika Gawarammane, Andrew J McLachlan

“…Descriptive data analysis and Chi square tests were performed. …”
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Explainable machine learning prediction of internet addiction among Chinese primary and middle school children and adolescents: a longitudinal study based on positive youth develop... by Jiahe Liu, Lang Chen, Yuxin Chen, Jingsong Luo, Kexin Yu, Linlin Fan, Chan Yong, Huiyu He, Simei Liao, Zongyuan Ge, Lihua Jiang, Lihua Jiang

“…BackgroundInternet Addiction (IA) has emerged as a critical concern, especially among school age children and adolescents, potentially stalling their physical and mental development. Our study aimed to examine the risk factors associated with IA among Chinese children and adolescents and leverage explainable machine learning (ML) algorithms to predict IA status at the time of assessment, based on Young’s Internet Addiction Test.MethodsThe longitudinal data consisting of 8,824 schoolchildren from the Chengdu Positive Child Development (CPCD) survey were analyzed, where 33.3% of participants were identified with IA (Age: 10.97 ± 2.31, Male: 51.73%). …”
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Migrant Health Country Profile tool (MHCP-t) for transforming health data collection and surveillance in the Middle East and North African (MENA) region: tool development protocol... by Farah Seedat, Bouchra Assarag, Kolitha Wickramage, Sally Hargreaves, Ana Requena-Mendez, Dominik Zenner, Anna Deal, Stella Evangelidou, Oumnia Bouaddi, Moudrick Abdellatifi, Hassan Edries, Eman Elafef, Taha Maatoug, Anissa Ouahchi, Sara Arias, Adel Abdelkhalek, Ibrahim Ahmed Bani, Kenza Hassouni, Mahmoud Hilali, Mohamed Khalis, Wejdene Mansour, Ali Mtiraoui, Hassan Chrifi, Mohamed Douagi, Abdedayem Khelifi

“…To address this problem, we aim to design and pilot test the Migrant Health Country Profile tool (MHCP-t) which can collate country-level data collection around migration health data, policies and healthcare provision.Methods and analysis The MHCP-t development is a stepwise process that will integrate a process evaluation model with active involvement and engagement of multilevel stakeholders. …”
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Forty years after Alma-Ata: primary health-care preparedness for chronic diseases in Mozambique, Nepal and Peru by Maria Kathia Cárdenas, Silvana Pérez-León, Suman Bahadur Singh, Tavares Madede, Savaiva Munguambe, Valério Govo, Nilambar Jha, Albertino Damasceno, J. Jaime Miranda, David Beran

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A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity by Qingjie Xu, Qingjie Xu, Libing An, Haiqiang Yang, Haiqiang Yang, Keum-Shik Hong, Keum-Shik Hong

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Using student conferences as a form of authentic assessment to develop and enhance transferable communication skills in quantitative and data-driven disciplines: Evidence from a po... by Sharon Greenwood

“…This has been reflected within the context of higher education through the increased demand for specialist training and development in quantitative and data-driven (QDD) disciplines – particularly within postgraduate study. …”
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Structural and Rural Transformations and Poverty Reduction in Developing Asian Economies: An International Comparison Among China, the Philippines, and Vietnam by Qiu Chen, Jikun Huang, Mercedita A. Sombilla, Trang Truong

“…Based on a comparison with the provincial data from those three countries, both the graphic and regression analysis suggest that structural and rural transformations matter in rural poverty reduction in these three countries. …”
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A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning by Thibaud Schaller, Jun Li, Karl W. Jenkins

“…This paper presents a data-driven deep learning framework capable of automatically detecting defects on reactor blades. …”
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Addressing “what matters most” to reduce mental health stigma in primary healthcare settings: a qualitative study in Lebanon by Racha Abi Hana, Eva Heim, Pim Cuijpers, Marit Sijbrandij, Rabih El Chammay, Brandon A. Kohrt

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Supporting access and implementation of agricultural extension services for female smallholder farmers – a systematic review by Ylva Nyberg, Heather Mackay, Merezia Wilson, Mohamed Samkunde, Johanna Wetterlind

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The effect of electronic prescription systems on pharmacy performance through evaluation of existing infrastructure in Kerman Iran by Shokoufeh Karimi, Yunes Jahani, Leila Ahmadian

“…Data analysis included descriptive and analytical statistics, utilizing Pearson’s test and linear regression. …”
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Technological Disruption, Ease of Doing Business, and Manufacturing Resilience: A Study of Competitiveness and Efficiency in Developing Countries by Dwi Budi Santoso, Ferry Prasetyia, Trinh Thi Chung, Axellina Muara Setyanti, Nayaka Artha Wicesa, Al Muizzudin Fazaalloh

“…Simultaneously, manufacturing efficiency is gauged utilizing the Data Envelopment Analysis (DEA) method, a nonparametric approach applied to compute the efficiency of a group of decision-making units (DMU). …”
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FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…A stacking ensemble regression model called Forecasting Data-Driven Regression Learning (FDRL) was developed on the basis of the last machine learning breakthroughs, including feature selection techniques such as Pearson correlation and mutual information scores. …”
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Artificial Intelligence (AI) in the Banking Industry: A Review of Service Areas and Customer Service Journeys in Emerging Economies by Tajudeen Alaburo Abdulsalam, Rofiat Bolanle Tajudeen

“…The study examines AI strategies in the banking industry, focusing on service areas and adaptation to the evolving technological landscape, particularly in customer service in developing economies. By adopting an interpretivist philosophy emphasising practicality, a qualitative approach was employed through a systematic literature review of 90 articles using thematic analysis. …”
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Scientometric tools in strategising the development of scientific periodicals: the case of the journal Digital Models and Solutions by V.A. Blaginin, E.V. Sokolova

“…The data analysis and visuali zation were performed utilizing the R programming language. …”
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Statistical learning to identify and characterise neurodevelopmental outcomes at 2 years in babies born preterm: model development and validation using population-level data from E... by Sadia Haider, Athanasios Tsanas, G. David Batty, Rebecca M. Reynolds, Heather C. Whalley, Simon R. Cox, Riccardo E. Marioni, Cheryl Battersby, James P. Boardman

“…Methods: Latent class analysis (LCA) was used to derive transdomain clusters from parent-reported visual, auditory, neuromotor, and communication impairments in preterm-born children at two years corrected age using the UK National Neonatal Research Database data (N = 27,261). …”
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Development of a multidimensional 1-year mortality prediction model for patients discharged from the geriatric department: a longitudinal cohort study based on comprehensive geriat... by Jiaojiao Li, Lin Kang, Xiaohong Liu, Xiaohong Sun, Minglei Zhu, Qiumei Wang, Xuan Qu, Ning zhang, Eryu Xia, Fei Lu, Shuo Liu, Shuang Jin, Xueping Wang, Guojun Yao

“…We aimed to develop an accurate 1-year mortality prediction model for patients discharged from the geriatric ward using CGA and clinical data. …”
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Method validation of an inductively coupled plasma mass spectrometry (ICP-MS) assay for the analysis of magnesium, copper and zinc in red blood cells by Nazmin Bithi, Daniel Ricks, Brandon S. Walker, Christian Law, Kamisha L. Johnson-Davis

“…All other validation experiments met the established acceptance criteria. Retrospective data analysis was conducted on patient samples using the method. …”
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