LDM: A web application for automated management and visualization of laboratory screening data by David Meyer, Anastasia Escher, Eva Riegler, David Keller, Michael Prummer, Stephanie Huber, Tijmen Booij

“…This process typically generates large amounts of data that require effective storage, management, and analysis. …”
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Assessing a Measurement-Oriented Data Management Framework in Energy IoT Applications by Hariom Dhungana, Francesco Bellotti, Matteo Fresta, Pragya Dhungana, Riccardo Berta

“…The Internet of Things (IoT) has enabled the development of various applications for energy, exploiting unprecedented data collection, multi-stage data processing, enhanced awareness, and control of the physical environment. …”
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CAnDOIT: Causal Discovery with Observational and Interventional Data from Time Series by Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto

“…The experiments demonstrate that the approach can effectively handle data from interventions and exploit them to enhance the accuracy of the causal analysis. …”
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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

“…As the information age develops, the scale and form of data become more diverse and diverse. …”
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Global trends of big data analytics in health research: a bibliometric study by Li Yao, Li Yao, Yan Liu, Tingrui Wang, Chunyan Han, Qiaoxing Li, Qinqin Li, Xiaoli You, Tingting Ren, Yinhua Wang

“…BackgroundThe field of “Big Health,” which encompasses the integration of big data in healthcare, has seen rapid development in recent years. …”
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Incidence of Cancers in Kerala, India: A Review of Population-Based Registry Data by Jeffrey Mathew Boby, Deepak Varughese, Jame Mathew Benny, Mathew Thomas, Aju Mathew

“…In this study, we aim to perform a time series analysis using data from the National Cancer Registry.METHODSData for crude incidence, age-adjusted incidence, and disease-specific incidence were extracted from published reports of the Population-Based Cancer registries at Kollam and Thiruvananthapuram. …”
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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…However, the high dimensionality and inherent noise in scRNA-seq data pose significant analytical challenges. This study focuses on dimensionality reduction and cell-type identification in scRNA-seq data analysis. …”
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A Distillation Approach to Transformer-Based Medical Image Classification with Limited Data by Aynur Sevinc, Murat Ucan, Buket Kaya

“…<b>Conclusions</b>: The results of the experiments show that using distillation techniques in transformer-based deep learning models can significantly improve classification accuracy when working with limited data. Based on these findings, we recommend the use of transformer-based models with distillation, especially in medical applications and other areas where flexible models are developed with limited data.…”
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Bibliometric mapping of data science in education: Trends, benefits, challenges, and future directions by Muhammad Aizri Fadillah, Syafrijon, Sulandari, Febry Azmiana Siregar, Usmeldi

“…In the digital era, Data Science (DS) plays a crucial role in enhancing education through data-driven decision-making, personalized learning, and curriculum development, yet its broader impact remains underexplored. …”
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rEHR: An R package for manipulating and analysing Electronic Health Record data. by David A Springate, Rosa Parisi, Ivan Olier, David Reeves, Evangelos Kontopantelis

“…However, data science methodology to enable the rapid searching/extraction, cleaning and analysis of these large, often complex, datasets is less well developed. …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…To address these challenges, minimum variance unbiased (MVU) estimators have been developed. For specific conditions, such as limited data and no nonconforming items, bootstrap-based Bayesian estimators offer a computational alternative. …”
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Financial Fraud Detection on Social Networks Based on a Data Mining Approach by Victoria Bozhenko, Serhii Mynenko, Artem Shtefan

“…The main goal of the research is to develop methodological principles for identifying financial cyber fraud in social networks based on the analysis of comments to identify relevant text patterns that may indicate manipulation attempts and further fraud. …”
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GLP-1 agonists in anaesthetic practice - a review of clinical data and recommendations by Natalia Pokrywka, Marcelina Polak, Dawid Suwała, Paulina Hetnar, Milena Fortuna, Sebastian Kiper, Sławomir Toczek, Magdalena Tomala, Katarzyna Jastrowicz-Chęć, Klaudia Koryszko

“…Materials and research methods: The article is based on an analysis of research available on PubMed and Google Scholar. …”
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Handling missing values in patient-reported outcome data in the presence of intercurrent events by Doranne Thomassen, Satrajit Roychoudhury, Cecilie Delphin Amdal, Dries Reynders, Jammbe Z. Musoro, Willi Sauerbrei, Els Goetghebeur, Saskia le Cessie, on behalf of SISAQOL-IMI Work Package 3

“…Conclusion Information about the timing and occurrence of ICEs contribute to a more plausible handling of missing PRO data. To account for ICE information when handling missing PROs, the missing data model should be separated from the analysis model.…”
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fossilbrush: An R package for automated detection and resolution of anomalies in palaeontological occurrence data by Joseph T. Flannery‐Sutherland, Nussaïbah B. Raja, Ádám T. Kocsis, Wolfgang Kiessling

“…Abstract Fossil occurrence databases are indispensable resources to the palaeontological community, yet present unique data cleaning challenges. Many studies devote significant attention to cleaning fossil occurrence data prior to analysis, but such efforts are typically bespoke and difficult to reproduce. …”
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Assessment of spine mobility in patients with ankylosing spondylitis by ultrasound scanning (preliminary data) by M. K. Kurbanmagomedov, K. V. Sakharova, A. B. Demina, Sh. F. Erdes

“…All patients underwent a double examination (at baseline and after 2 weeks) according to a specially developed protocol.Results and discussion. A comparative analysis of the results of sonographic measurements of the distance between the spinous processes of the vertebrae of the studied spine segment at baseline and after 2 weeks revealed a tendency towards an increase in these parameters both in the initial position and during flexion. …”
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Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection by Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani

“…The main contributions of this research are the development of a comprehensive framework for modality-based analysis, the application of advanced data preprocessing techniques, and the comparison of various machine learning algorithms to identify the best model for stunting detection. …”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In the assimilation pre-processing of Fengyun satellite data, the assimilation prequality control of multi-spectral data fusion is achieved by front-loading cloud and precipitation detection, data analysis, analysis and other processing into the assimilation pre-processing, which ensures the positive assimilation contribution of Fengyun microwave temperature sounding data and infrared hyperspectral data. …”
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Data control and digital regulatory space(s): towards a new European approach by Roxana Radu, Jean-Marie Chenou

“…This article examines the stance of the European Union (EU) regarding the position of Google - the world’s largest internet services company as per its 2014 market value - in two controversial instances: the ‘right to be forgotten’ and the implementation of EU competition rules. It provides an analysis of these evolving debates and their meaning for EU regulatory thrust more broadly, discussing the shift in the approach to digital markets and the proactive development of a European framework influential beyond continental boundaries.…”
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Evaluating Agreement Between Global Satellite Data Products for Forest Monitoring in Madagascar by Oladimeji Mudele, Marissa L. Childs, Jayden Personnat, Christopher D. Golden

“…These findings underscore the limitations of global RSD products and the importance of localized data for accurate forest monitoring, building justification for efforts to develop a local forest cover product for Madagascar. …”
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