Innovative practice of archival data development workflow in the AGI era: a case study of scientist archives project by Yaming Fu, Jie Song, Xinran Zhang, Jingyun Bi

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The Effect of Big Data Analysis Capabilities on Organizational Energy: An Empirical Study in the Directorate of Civil Affairs, Residence, and Passports in Nineveh Governorate –IRAQ... by Rabee Ali Zaker

“… Purpose: the aim of this study is to reveal the impact of Big Data Analysis Capabilities (BDAC) on organizational Energy (OE).   …”
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A retrospective, observational study of real-world clinical data from the Cognitive Function Development Therapy program by Eric D. Kirby, Eric D. Kirby, Eric D. Kirby, Eric D. Kirby, Brian Beyst, Jen Beyst, Sonia M. Brodie, Ryan C. N. D’Arcy, Ryan C. N. D’Arcy, Ryan C. N. D’Arcy, Ryan C. N. D’Arcy

“…The therapy is tracked and based on Primary Cognitive Function (PCF) scores.MethodsThis retrospective, observational study analyzed real world data from 183 children and adults undergoing CFDT to evaluate changes in cognition over time, incorporating both cognitive performance measures and an exploratory analysis of neurophysiological function. …”
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Development of a clinical nomogram for predicting sarcopenia in patients with chronic obstructive pulmonary disease based on NHANES data by Xingfu Fan, Jin Zhao, Yang Luo, Xiaofang Li, Wenqin Tan, Shiping Liu

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Evaluating Transit-Oriented Development Performance: An Integrated Approach Using Multisource Big Data and Interpretable Machine Learning by Huadong Chen, Kai Zhao, Zhan Zhang, Haodong Zhang, Linjun Lu

“…This study suggests a multi-indicator TOD performance evaluation method based on a multi-indicator approach grounded in the analysis of multisource urban big data, revealing the role of rail transit TOD station characteristics on critical indicators of station operation through an interpretable machine learning approach. …”
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Analysing the Transformation of Sports Practices in Less-Developed Mountains Based on Huts Attendance Data. Application to the Valais Alps by Jacques Mourey, Christophe Clivaz, Philippe Bourdeau

“…This data shows the location and the number of visitors of “less-developed” mountain areas, allowing to study the transformation of outdoor sports in these sectors. …”
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Developing an ensemble machine learning framework for enhanced climate projections using CMIP6 data in the Middle East by Younes Khosravi, Taha B.M.J. Ouarda, Saeid Homayouni

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Strategic Human Resource Development for Emerging Technologies: A Scoping Review in ICT, Robotics, Data Science, and CPS by Leonard Chukwualuka Nnadi, Dake Ding, Ebubechukwu Delight Godwin-Ojukwu, Yutaka Watanobe, Keitaro Naruse

“…The rapid advancement of ICT, robotics, data science, and cyber-physical systems (CPS) has intensified the need for agile, future-ready human resource development (HRD) strategies. …”
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The drospirenone only pill as a contraceptive option for breastfeeding women: First data on users’ acceptability and newborn development by Pedro Antonio Regidor, Enrico Colli, Artur Jakimiuk

“…The study aimed to analyze for those successful users the impact on new-born development, the bleeding profile and evaluate user satisfaction.Results Analysis of the newborns showed that their growth parameters length and weight, were within the expected range of standard development. …”
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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

“…Abstract Biomedical researchers must often deal with large amounts of raw data, and analysis of this data might provide significant insights. …”
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Development of a High-Reliability Hybrid Data Transmission System for Unmanned Surface Vehicles Under Interference Conditions by Sergiy Kurdiuk, Vadym Dremliuk, Oleksiy Melnyk, Oleg Onishchenko, Oleksij Fomin, Václav Píštěk, Pavel Kučera

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Developing a Prediction Model for Real-Time Incident Detection Leveraging User-Oriented Participatory Sensing Data by Md Tufajjal Hossain, Joyoung Lee, Dejan Besenski, Branislav Dimitrijevic, Lazar Spasovic

“…This study aims to identify factors affecting the reliability of Waze alerts and develop a predictive model to distinguish true incidents from false alerts using real-time Waze data, thereby improving emergency response times. …”
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Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework by Ravikiran Keshavamurthy, Karl T Pazdernik, Colby Ham, Samuel Dixon, Samantha Erwin, Lauren E Charles

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Efficient and easy gene expression and genetic variation data analysis and visualization using exvar by Hiba Ben Aribi, Imraan Dixon, Najla Abassi, Olaitan I. Awe

“…This creates the need for user-friendly and integrated genomic data analysis and visualization tools. We developed a novel R package using multiple Cran and Bioconductor packages to perform gene expression analysis and genetic variant calling from RNA sequencing data. …”
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Examining the intersection of child protection and public housing: development, health and justice outcomes using linked administrative data by John W Lynch, Emma Baker, Alicia Montgomerie, Catia Malvaso, Rhiannon Megan Pilkington

“…Objective We described development, health and justice system outcomes for children in contact with child protection and public housing.Design Descriptive analysis of outcomes for children known to child protection who also had contact with public housing drawn from the South Australian (SA) Better Evidence Better Outcomes Linked Data (BEBOLD) platform.Setting The BEBOLD platform holds linked administrative records collected by government agencies for whole-population successive birth cohorts in SA beginning in 1999.Participants This study included data from birth registrations, perinatal, child protection, public housing, hospital, emergency department, early education and youth justice for all SA children born 1999–2013 and followed until 2016. …”
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Analysis model of energy consumption variables for data processing in high-performance computing systems by Jorge Lozoya Arandia, Carlos Jesahel Vega Gómez, Lester Antonio Acevedo Montoya, Verónica Lizette Robles Dueñas

“…Various proposals and technologies have been developed for the analysis of the energy consumption of a data center, and the processing elements include a series of indicators and technologies that manufacturers have developed to determine the energy efficiency. …”
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Scalability analysis of heavy-duty gas turbines using data-driven machine learning by Shubhasmita Pati, Julian D. Osorio, Mayank Panwar, Rob Hovsapian

“…The ultimate objective was to develop a detailed modeling framework based on governing equations and data-driven ML capable of predicting key performance indicators, in thermal systems such as GTs, including power output, speed, fuel consumption, and exhaust temperature under diverse operating conditions at different scales. …”
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Real-time analysis of Delphi panel data to facilitate iterative rating within meetings by Julien B. Weinstein, Cainnear K. Hogan, Taylor Whittington, Jennifer Cano, Sarah M. Seelye, Jeremy B. Sussman, Steven J. Bernstein, Hallie C. Prescott

“…Abstract Objective The Modified Delphi panel process involves iterative ratings, often with lengthy lags between rounds to allow time for data analysis. We sought to develop, implement, and evaluate an approach for real-time data analysis and presentation to complete multiple rounds of ratings in a single panel meeting. …”
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Analysis on the Impact of Data Augmentation on Target Recognition for UAV-Based Transmission Line Inspection by Chunhe Song, Wenxiang Xu, Zhongfeng Wang, Shimao Yu, Peng Zeng, Zhaojie Ju

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Comparison of Machine Learning Models for Sentiment Analysis of Big Turkish Web-Based Data by Cemile Gökçe Özmen, Selim Gündüz

“…Thus, although there have been significant improvements in the characteristics of big data, such as speed and volume, developing various analysis techniques to monitor, understand, and extract useful information from this web-based data has become challenging. …”
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