Advancing Knowledge on Machine Learning Algorithms for Predicting Childhood Vaccination Defaulters in Ghana: A Comparative Performance Analysis by Eliezer Ofori Odei-Lartey, Stephaney Gyaase, Dominic Asamoah, Thomas Gyan, Kwaku Poku Asante, Michael Asante

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DATA MARGINALIZATION IN SOUTH AFRICA by ELVIN SHAVA, NDUDUZO C NDEBELE

“…The analysis of the aforementioned sources revealed several dangers that data marginalisation poses to social and economic development of South Africa. …”
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Millimeter waves in communication systems as a prospect for the development and application of robotic means and complexes by Vladislav R. Skrynskij

“…Millimeter-wave communication systems are becoming more and more relevant in conditions of saturation of the low-frequency spectrum and growing requirements for data transmission speed. The high degree of radio wave absorption in the atmosphere creates unique opportunities for the formation of interference-proof wireless local and personal networks. …”
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Silencing in data science practices by Ida Marie S Lassen, Jens Christian Bjerring, Kristoffer L Nielbo

“…Our practice-oriented analysis of the data science pipeline – data collection, cleaning, model training and implementation – reveals a vicious cycle of silencing that perpetuates and amplifies existing biases. …”
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Analysis of the relationship of regional deprivation indices with environmental sustainability (Case study: villages of Poldokhtar Township) by Mehrshad Toulabi Nejad, jaad Bazrafshan, sirous ghanbari

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Development of an enhanced base unit generation framework for predicting demand in free‐floating micro‐mobility by Dohyun Lee, Kyoungok Kim

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Survey on the causal consistency of data by Junfeng TIAN, Yanbiao WANG, Xinfeng HE, Juntao ZHANG, Wanhe YANG, Ya’nan PANG

“…Causal consistency is one of the important projects to ensure data consistency in distributed storage.The current research focuses on causal consistency including optimization of clock method,design of the protocol and the optimization of operation transaction sequence.In the actual cloud environment,in addition to clock skew and query amplification,there are also insecure factors such as Trojans and untrusted third parties,which will destroy the causal consistency metadata stored by users,and the consistency of user’s operating results,even affect the availability of the storage environment.From the perspective of performance improvement and security in distributed storage,the clock synchronization,data replications,analysis and design of server protocol,related research progress of the serialization of operational affairs were introduced combined with consensus mechanisms such as blockchain.At the same time,their principlest,advantages,limitations,and different utilities in terms of security constraints were discussed,and then the future development trends and follow-up research directions were point out at last,which would provide a reference and help for the research in this field.…”
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Development of an algorithm to improve on the National Early Warning Score 2 (NEWS2) system's accuracy in predicting critical outcomes using additional patient data and amendments... by Lynsey Threlfall, Chris Plummer, Edward Meinert, Cen Cong, Madison Milne-Ives

“…Data analysis: De-identified data from the Trust’s clinical data warehouse will be divided into training and testing subsets. …”
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A novel protocol for a "Citizen Panel" for diverse Public and Participant Involvement in the review and development of the process to access data in the UK Longitudinal Linkage Col... by Lidis Garbovan, Betty O. Idemudia, Robin Flaig, Kirsteen Campbell, Katharine Evans, Andy Boyd, Sarah Cunningham-Burley, Emma L. Turner

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Analysis of the Evolution of Social Competence in Students Through Research Methods Based on Neutrosophic Sets by Huberto Tito Hinostroza Robles, María Teresa Cabanillas López, Fidel Denis Huasco Espinoza

“…The applied methodology includes data collection through surveys and analysis of this data using neutrosophic techniques to capture the complexities and ambiguities inherent in the assessment of social skills. …”
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Development and Numerical Implementation of Plastic Damage Constitutive Model for Concrete Under Freeze–Thaw Cycling by Zhixuan Wang, Xiao Liu, Xiaoquan Shao, Jianyong Han, Yu Liu

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An Application of Qualitative Risk Analysis as a Tool Adopted by Public Organizations for Evaluating “Green Projects” by Maurizio Lanfranchi, Carlo Giannetto, Angelina De Pascale, Remus Ion Hornoiu

“…This paper intends to explore the application of Qualitative Risk Analysis in evaluating the risk level associated with several public projects based on urban and peri-urban agriculture as a model of sustainable development of a territory. …”
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Potential drug targets for peripheral artery disease identified through Mendelian randomization analysis by Xu Ding, Hui Li, Lihong Li, Yongjiu Yang, Zhong Chen

“…This study aims to identify PAD-associated plasma proteins through MR analysis for potential therapies. Methods We first used GWAS data and seven pQTL datasets to identify plasma proteins causally linked to PAD through MR analysis. …”
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Survey data on fishermen perception of marine protected areas in West Coast of MalaysiaMendeley Data by Izarenah Md Repin, Mohamad M. Fikri, Danial Iskandar, Abdul Rahman Abdul Latip, Che Din Mohd Safuan, Nazli Aziz, Zainuddin Bachok, Wan Izatul Asma Wan Talaat

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Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data by Burcu Bakir-Gungor, Nur Sebnem Ersoz, Malik Yousef

“…Conventional feature selection techniques often evaluate features individually and fail to leverage biological knowledge during metagenomic data analysis. To address this gap, we propose the enzyme commission (EC)-nomenclature-based Grouping-Scoring-Modeling (G-S-M) method, which integrates biological domain knowledge into feature grouping and selection. …”
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A novel decoupled model for water and heat coupling in frozen soil and numerical analysis by Peipei Chen, Zhi Shang, Ruisong Zhu, Qingfeng Yin, Lei Dong, Shan Feng

“…Based on in-situ monitoring data from cold region subgrade, the reliability and accuracy of numerical calculations were validated. …”
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Field Study: How Are Vulnerable Children in China Developing Through Sport‐Based Social Projects? by Zichen Zhuang, Xi Yang, Xiaolong Chen, Hongjiang Wang

“…Through 101 hours of observation and 17 hours of in‐depth interviews, the thematic analysis revealed five core themes: initial backgrounds, developmental challenges, collective life, sport activities, and growth. …”
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Analysis of Factors of High-tech Industries Growth: A Case Study of the Late USSR by D. V. Didenko, N. V. Grineva

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The Developmental Trajectory of Obsessive-compulsive Symptoms in College Students: an Analysis of a Latent Growth Model by GUO Zexi, YILIZHATI· Maimaiti, GULIGENA· Aitahong

“…The survey results were analyzed using latent variable growth modeling. Results Data analysis was conducted using 3 289 valid samples who participated in all three measurements. …”
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Time traveling through research: Bibliometric analysis of biodiversity finance in agricultural sector for SDGs by Ayesha Shehzad, Kanwal Iqbal Khan

“…Biodiversity finance can be a way to strengthen the agriculture sector and attain sustainable development goals (SDGs). It is a relatively new concept and is still in its developing stage. …”
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