Military Spending and Employment in Eastern European Countries: New Evidence from Panel Data Analysis by Abdüsselam Sağın, Barış Kocaarslan

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Impact Of Macroeconomic Variables And Zakat On Poverty Alleviation: Evidence From Indonesian Panel Data Analysis by Tiara Juliana Jaya, Kurniawati Meylianingrum, Ainindita Aghniacakti, Kholilah Kholilah, Dian Syariati

“…Design/methodology: This study is a quantitative study with a regression analysis method of panel data in districts/cities in Central Java, West Java, and East Java, from 2018 to 2022. …”
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A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses by Andrea Tonelli, Marcus S. C. Blagrove, Maya Wardeh, Moreno Di Marco

“…Here, we propose a methodological framework to mitigate the effect of biases in host–pathogen data and account for uncertainty in models' predictions. …”
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IoT medical device risks: Data security, privacy, confidentiality and compliance with HIPAA and COBIT 2019 by Na-ella Khan, Riaan J. Rudman

“…A comprehensive framework was developed to identify these risks at each layer within the architecture in order to facilitate sound information technology (IT) and data governance. Practical implications: This research documents evidence of the risks posed by IoT devices within the medical field particularly pertaining to IoT data. …”
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Harnessing multi-source data for AI-driven oncology insights: Productivity, trend, and sentiment analysis by Wissal EL HABTI, Abdellah AZMANI

“…The most prominent article emphasized the Explainability of AI methods (XAI) with a profound discussion of their potential implications and privacy in data fusion contexts. Current trends involve the utilization of supervised learning methods such as CNN, Bayesian networks, and extreme learning machines for various cancers, particularly breast, lung, brain, and skin cancer. …”
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Unveiling patterns: a data-driven exploration of overseas residents' views on Qingdao's tourism development by Sahand Abdinematabad, Roghaye Ebadikhah, Mehdi Pourabdollah, Reza Rasinojehdehi

“…This study embarks on a data-driven exploration to understand the perceptions of overseas residents regarding the development of tourism in Qingdao, a significant coastal city in China. …”
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Transport equity impacts of green growth initiatives in Vietnam: An empirical evaluation using panel data by An Minh Ngoc, Yasuhiro Shiomi, Huynh Quang Nghi, Muhammad Faizan ul Haq, Alessandro Severino, Doanh Nguyen-Ngoc

“…The transport equity impacts of these initiatives are studied and quantified using comprehensive data from the Vietnam Household Living Standards Survey (VHLSS) between 2014 and 2020. …”
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Slow Invaders Going Fast: New Data of Exotic Slugs (Gastropoda: Eupulmonata) From Spain by Omar Sánchez, Víctor González‐García, Jairo Robla, Andrés Arias

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Data-driven analyses of human antibody variable domain germlines: pairings, sequences and structural features by Clarissa A. Seidler, Vera A. Spanke, Jakob Gamper, Alexander Bujotzek, Guy Georges, Klaus R. Liedl

“…These results have significant implications for understanding antibody assembly and may guide the rational design of therapeutic antibodies with desired properties. …”
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Patient-generated health data and electronic health record integration: protocol for a scoping review by Victoria L Tiase, William Hull, Mary M McFarland, Katherine A Sward, Guilherme Del Fiol, Catherine Staes, Charlene Weir, Mollie R Cummins

“…Using the framework developed by Arksey and O’Malley, we will create a systematic search strategy, chart data from the relevant articles, and use a qualitative, thematic approach to analyse the data. …”
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Optimal graph representations and neural networks for multichannel time series data in seizure phase classification by Alan A. Díaz-Montiel, Richard Zhang, Milad Lankarany

“…Moreover, we conducted an analysis of graph neural networks (GNN), a paradigm of artificial neural networks optimized to operate on graph-structured data, as a framework to classify seizure phases (preictal vs. ictal vs. postictal) from intracranial electroencephalographic (iEEG) data. …”
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Technical efficiency of Southern African Customs Union ports: a data envelopment analysis approach by Weliswa Matekenya, Bekebu Siyanda

“…This study assesses the technical efficiency of Southern African Customs Union (SACU) ports between 2014 and 2023 using Data Envelopment Analysis (DEA) and Tobit regression models to identify critical determinants of efficiency and inefficiency. …”
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Emerging SMOTE and GAN Variants for Data Augmentation in Imbalance Machine Learning Tasks: A Review by Amadi G. Udu, Marwah T. Salman, Maryam K. Ghalati, Andrea Lecchini-Visintini, David R. Siddle, Hongbiao Dong

“…This imbalance can degrade model performance, result in misleading evaluation metrics, and complicate validation processes. Two prominent data-augmentation techniques to address class imbalance are the Synthetic Minority Oversampling Technique (SMOTE) and Generative Adversarial Networks (GAN). …”
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Multi-scale eddy identification and analysis based on deep learning method and ocean color data by Meng Hou, Lixing Fang, Kai Wu, Jie Yang, Ge Chen

“…While instances exist in which submesoscale eddies have been identified using data such as synthetic aperture radar imagery, they are currently limited to near-shore regions. …”
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Determinants of Debt Financing Behavior of Unlisted Moroccan Family SMEs: A Panel Data Analysis by Zouhair Boumlik, Badia Oulhadj, Olivier Colot

“…It employs a comparative analysis of two sub-samples of family and non-family SMEs using panel data from 200 Moroccan SMEs over the period from 2018 to 2022. …”
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Bridging the gap: enhancing data science and leadership knowledge and skills in the context of the public health workforce by Diana Hamer, Madelyn Gustafson, Christine Ortiz Gumina, Danielle C. Landis, Patricia Bockelman, Elaina Perry, Sarah D. Matthews

“…The findings have implications for policy development, resource allocation, and building a competent workforce capable of leveraging data for improved public health outcomes. …”
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Socioeconomic Determinants of Household Size in Bangladesh: Evidence from the Bangladesh Demographic and Health Survey Data by Md. Akhtarul Islam, Md. Saleh Mahmud, Shatabdi Das, Shaharior Rahman Razu

“…Objectives The primary purpose of the present study was to explore the distribution of household size and its determinants based on the nationally representative Bangladesh Demographic and Health Survey (BDHS) data. Material and Methods The data were extracted from BDHS 2017–2018, a national survey. …”
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Prevalence and types of sexual inactivity in Britain: analyses of national cross-sectional probability survey data by Catherine H Mercer, Peter Ueda

“…Objectives To examine how prevalence and context of sexual inactivity varies across the life-course, assess dissatisfaction with sex life among those who are sexually inactive and identify associations with factors that may represent reasons for sexual inactivity.Design Analysis of cross-sectional probability sample survey data.Setting British general population.Participants 14 623 participants (n men: 6045 unweighted, 7245 weighted), aged 16–74 years, of the third National Survey of Sexual Attitudes and Lifestyles (Natsal-3), undertaken in 2010–2012.Main outcome measures Sexual inactivity, defined as not reporting oral, vaginal or anal intercourse in the past year and further categorised into those who were sexually inexperienced (had never had sex), single or in a relationship.Results Overall, 15.9% (weighted n 1155/7245) of men and 22.2% (1646/7410) of women were sexually inactive (p<0.001). …”
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Leveraging VOSviewer approach for mapping, visualisation, and interpretation of crisis data for disaster management and decision-making by Umar Ali Bukar, Md Shohel Sayeed, Oluwatosin Ahmed Amodu, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Mohamed Othman

“…Thereafter, the study discusses the implications of VOSviewer for analysing crisis data theoretically and practically.…”
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Leveraging building permit data for large-scale embodied carbon assessment of residential building construction by Santiago Zuluaga, Shoshanna Saxe

“…This study provides insight into the scale and intensity of renovation activities while demonstrating the utility of building permit data for embodied GHG and circularity assessments, providing valuable insights for sustainable housing and resource management policies.…”
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