Data Preprocessing Techniques for AI and Machine Learning Readiness: Scoping Review of Wearable Sensor Data in Cancer Care by Bengie L Ortiz, Vibhuti Gupta, Rajnish Kumar, Aditya Jalin, Xiao Cao, Charles Ziegenbein, Ashutosh Singhal, Muneesh Tewari, Sung Won Choi

“…Our findings suggest a pressing need to develop and adopt uniform data quality and preprocessing workflows of wearable sensor data that can support the breadth of cancer research and varied patient populations. …”
Get full text

A dengue fever predicting model based on Baidu search index data and climate data in South China. by Dan Liu, Songjing Guo, Mingjun Zou, Cong Chen, Fei Deng, Zhong Xie, Sheng Hu, Liang Wu

“…Unfortunately, there is no effective treatment for dengue, and the most popular dengue vaccine does not exhibit good curative effects. Therefore, we developed a Generalized Additive Mixed Model (GAMM) that gathered climate factors (mean temperature, relative humidity and precipitation) and Baidu search data during 2011-2015 in Guangzhou city to improve the accuracy of dengue fever prediction. …”
Get full text

Multi‐data classification detection in smart grid under false data injection attack based on Inception network by H. Pan, H. Yang, C. N. Na, J. Y. Jin

“…Abstract During operation, the smart grid is subject to different false data injection attacks (FDIA). If the different kinds of FDIAs and typical failures have been detected, the system operator can develop various defenses to protect the smart grid in multiple categories. …”
Get full text

Big-Data-Assisted Urban Governance: A Machine-Learning-Based Data Record Standard Scoring Method by Zicheng Zhang, Tianshu Zhang

“…To address these shortcomings, this study develops a comprehensive scoring method tailored for evaluating multi-dimensional data record standards in government hotline data. …”
Get full text

Impact of sperm DNA fragmentation index on assisted reproductive outcomes: a retrospective analysis by Bin Yang, Leizhen Xia, Rufei Deng, Liping Wu, Zhiqin Zhang, Xingwu Wu, Tao Ding, Yan Zhao, Jialyu Huang, Jialyu Huang, Zhihui Huang

Get full text

On Fostering Predictions in Data-Driven Reduced Order Model for Eulerian–Lagrangian Simulations: Decision of Sufficient Training Data by Kai-en Yang, Shuo Li, Guangtao Duan, Mikio Sakai

“…The development of a data-driven surrogate model (SM) is extensively studied in Eulerian–Lagrangian simulations for its advantage of high computational speed. …”
Get full text

Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…Working hypotheses, such as the impact of data quality on analysis outcomes, are explored, and the paper demonstrates how addressing these challenges improves students’ decision-making processes in data-driven tasks. …”
Get full text

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…These findings underscore the significant potential of combining advanced machine learning models with data fusion techniques to enhance the accuracy and reliability of rainfall predictions, offering meaningful contributions to water resource management, climate adaptation, and the development of more robust forecasting systems.…”
Get full text

Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport by Yuanyuan Wu, Alex Markham, Leizhen Wang, Liam Solus, Zhenliang Ma

“…The approach initiates the data-driven, causal modelling of human behaviour dynamics to support policy developments and managerial interventions.…”
Get full text

Association between blood heavy metal levels and COPD risk: a cross-sectional study based on NHANES data by Xingshi Hua, Xingshi Hua, Lingyun Zhu, Lingyun Zhu, He Chen

“…This study aims to evaluate the potential association between blood levels of Cd, Pb, Hg, Se, and Mn and the likelihood of developing COPD.MethodsThis cross-sectional analysis utilized data from 7,458 individuals from the NHANES. …”
Get full text

Health-related quality of life after 12 months post discharge in patients hospitalised with COVID-19-related severe acute respiratory infection (SARI): a prospective analysis of SF... by Jufen Zhang, Gouri Koduri, Gavin Wright, Mohiuddin Khan, Zakiuddin Mohammed, Jiawei Huang, Keerthi Senthil, Amir Zadeh-Kochek, Jonathan Heung-san Au, Ravi Saripalli, Omar Ghauri, San Kim, Carol Alves

Get full text

Benchmarking Differential Abundance Tests for 16S microbiome sequencing data using simulated data based on experimental templates. by Eva Kohnert, Clemens Kreutz

“…Differential abundance (DA) analysis of metagenomic microbiome data is essential for understanding microbial community dynamics across various environments and hosts. …”
Get full text

Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS Technique by Vitor William Batista Martins, Denilson Ricardo de Lucena Nunes, André Cristiano Silva Melo, Rayra Brandão, Antônio Erlindo Braga Júnior, Verônica de Menezes Nascimento Nagata

“…Then, a questionnaire was elaborated on regarding such activities, and a survey was developed with professionals in the area. The data obtained were analyzed through a descriptive analysis of means, calculation of Cronbach’s Alpha, and using the multicriteria decision technique TOPSIS. …”
Get full text

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. …”
Get full text

Decreasing rates of disorganised attachment in infants and young children, who are at risk of developing, or who already have disorganised attachment. A systematic review and meta-... by Barry Wright, Lisa Hackney, Ellen Hughes, Melissa Barry, Danya Glaser, Vivien Prior, Victoria Allgar, David Marshall, Jamie Barrow, Natalie Kirby, Megan Garside, Pulkit Kaushal, Amanda Perry, Dean McMillan

“…<h4>Objectives</h4>The objective of this review and meta-analysis was to evaluate the clinical effectiveness of available parenting interventions for families of children at high risk of developing, or already showing, a disorganised pattern of attachment.…”
Get full text

Analysis and Modelling for Industrial Energy Efficiency in the Cosmetics Industry: A Real Industrial Case in an Italian Manufacturing Company by Roberto Rocca, Daniele Perossa, Luca Fumagalli

“…The analysis and modeling performed aimed at assessing the different operational phases of the machine and evaluating the different behaviors of the data. …”
Get full text

Analysis of Substrates and Consequences of Occupational Safety and Health (HSE) By Grounded Theory Method (Case Study: Workshop Staff of Bandar Jask Naval Hospital) by Mohammadreza Hosseini, narges khoshkalam

Get full text

An Integrated Approach Using Remote Sensing and Multi-Criteria Decision Analysis to Mitigate Agricultural Drought Impact in the Mazowieckie Voivodeship, Poland by Magdalena Łągiewska, Maciej Bartold

“…Focusing on the Mazowieckie Voivodeship, an algorithm was developed to evaluate regional susceptibility to drought. …”
Get full text

Deciphering organic substrate impacts in Anammox systems: A machine learning driven framework for predictive classification and process mechanism analysis by Zemin Li, Yulun Wu, Tao Chen, Bo Yan, Chaohai Wei

“…Two machine learning models were employed to predict Anammox performance, with Random Forest (RF) identified as the optimal model, subsequently validated using real coking industry wastewater treatment data. SHapley Additive exPlanations (SHAP) analysis revealed differential regulatory dominance across systems: organic concentration, influent ammonium nitrogen (NH4+-N) manifaested as the primary governing factors in biodegradable system, whereas organic type emerged as the most critical factors in biorefractory and combined systems. …”
Get full text

A spatio-temporal transcriptomic and proteomic dataset of developing Brassica napus seeds by Dominic Knoch, Nils Rugen, Johannes Thiel, Marc C. Heuermann, Markus Kuhlmann, Paride Rizzo, Rhonda C. Meyer, Steffen Wagner, Jos H. M. Schippers, Hans-Peter Braun, Thomas Altmann

Get full text