Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion by A-Seong Moon, Kyumin Kim, Jaesung Lee

“…Abstract This paper proposes a novel data augmentation method to address class imbalance in large-scale information retrieval systems. …”
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How machine learning on real world clinical data improves adverse event recording for endoscopy by Stefan Wittlinger, Isabella C. Wiest, Mahboubeh Jannesari Ladani, Jakob Nikolas Kather, Matthias P. Ebert, Fabian Siegel, Sebastian Belle

“…This study evaluates a machine learning-based approach for systematically detecting endoscopic adverse events from real-world clinical metadata, including structured hospital data such as ICD-codes and procedure timings. Using a random forest classifier detecting adverse events perforation, bleeding, and readmission, we analysed 2490 inpatient cases, achieving significant improvements over baseline prediction accuracy. …”
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Attitudes of University Students Toward Statistics as a Pathway to Data Literacy: A Meta-Analysis by Rosaura Fernández Pascual, David Caballero Mariscal, Maria Pinto, Ana Eugenia Marín-Jiménez

“…Improving students’ attitudes on mastering statistics is crucial for the development of data literacy competencies. Therefore, specific instruments to address the training and evaluation of students in the critical interpretation of data and their widespread use are becoming increasingly necessary.…”
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An analysis approach for high-field fMRI data from awake non-human primates. by Steffen Stoewer, Jozien Goense, Georgios A Keliris, Andreas Bartels, Nikos K Logothetis, John Duncan, Natasha Sigala

“…We demonstrate an approach that allows us to address some of these issues consisting of the following steps: 1) Trial-based experimental design. 2) Careful control of subject movement. 3) Computer-assisted selection of trials devoid of artefacts and animal motion. 4) Nonrigid between-trial and rigid within-trial realignment of concatenated data from temporally separated trials and sessions. 5) Linear interpolation of inter-trial intervals and high-pass filtering of temporally continuous data 6) Removal of interpolated data and reconcatenation of datasets before statistical analysis with SPM. …”
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Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

“…Our model utilizes electronic medical record (EMR) data, specifically by incorporating patient demographics, laboratory results, chronic conditions, risk factors, and medication codes to predict the onset of CKD in diabetic patients six months in advance, achieving an average Area Under the Curve (AUC) of 0.88. …”
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Neonatal outcomes of preterm infants with in-utero exposure to drugs of substance use: US national data by Subhash Puthuraya, Sreenivas Karnati, Hasan Othman, Rachana Sripathi, Vanishree Nandakumar, Hany Aly

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Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation by Thomas Williams, Christopher B. Prior, David MacTaggart

“…A significant database of helicity and winding fluxes and associated time series across 144 active regions is generated using Space-Weather HMI Active Region Patches data processed with the Active Region Topology (or ARTop) code that forms the basis of the time-series and spatial investigations conducted here. …”
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Harmonizing and integrating the NCI Genomic Data Commons through accessible, interactive, and cloud-enabled workflows. by Ling-Hong Hung, Bryce Fukuda, Robert Schmitz, Varik Hoang, Wes Lloyd, Ka Yee Yeung

“…Cancer data is widely available in repositories such as the National Cancer Institute (NCI) Genomic Data Commons (GDC). …”
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A robust multi-scale clustering framework for single-cell RNA-seq data analysis by Songrun Jiang, Chunyan Wang, Qiucheng Sun, Zhi Zhang

“…However, the inherent high dimensionality, sparsity, and noise in scRNA-seq data pose significant challenges for existing clustering methods, especially in accurately identifying and classifying diverse cell types. …”
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BengalDeltaFish: A local dataset for fish detection in Bangladeshi marketsMendeley Data by Sabrina Alim Dipa, Arjun Pal, Md. Shoaib Shahria, Md. Delwar Shahadat Deepu, Raiyan Rahman

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Redefining comorbidity understanding in rheumatoid arthritis through novel approaches using real-world data by Diego Benavent, Chamaida Plasencia-Rodríguez

“…Structured databases provide a systematic approach to data analysis, utilizing diagnosis codes to study large patient cohorts, revealing the prevalence of conditions, and demonstrating the potential for long-term disease trend analysis. …”
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Utility of Treatment Pattern Analysis Using a Common Data Model: A Scoping Review by Eun-Gee Park, Min Jung Kim, Jinseo Kim, Kichul Shin, Borim Ryu

“…Objectives We aimed to derive observational research evidence on treatment patterns through a scoping review of common data model (CDM)-based publications. Methods We searched the medical literature databases PubMed and EMBASE, as well as the Observational Health Data Sciences and Informatics (OHDSI) website, for papers published between January 1, 2010 and August 21, 2023 to identify research papers relevant to our topic. …”
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Open research data in human movement analysis: Swiss-initiated-guidelines for broader scientific communities by Michelle C. Haas, Bettina B. Sommer, Felix Moerman, Simon van Rekum, Eveline S. Graf

“…Sharing of data and code leverages transparency and reproducibility of data collection and analysis. …”
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Data on the evolution of the resistance phenomenon to anti-infectives in 16 pig breeding units from Banat by Alexandru O. Doma, Romeo T. Cristina

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Disease burden and cost of hidradenitis suppurativa: a retrospective examination of US administrative claims data by Jessica Marvel, Anna Vlahiotis, Amy Sainski-Nguyen, Tina Willson, Alexandra Kimball

“…We examined demographic/clinical characteristics of patients with HS and treatment patterns, prevalence and healthcare resource utilisation/expenditures related to HS in the real-world.Design Retrospective claims data of MarketScan Commercial, Medicare Supplemental and Medicaid databases (2009–2014).Setting USA.Participants Patients aged ≥12 years with ≥3 non-diagnostic outpatient or inpatient claims with an HS diagnosis code and ≥12 months continuous enrolment with medical and pharmacy benefits before (preindex) and after (postindex) the earliest diagnosis of HS (index) were included.Results There were 11 325 Commercial/Medicare patients (mean age 37.4 years) and 5164 Medicaid patients (mean age 28.3 years). …”
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Use of digital data from open sources during the investigation of criminal offenses: certain aspects by Basysta I., Havrylyuk L., Hutnyk A., Khytra A.

“…he purpose of the article is to study the possibilities of using digital data from open sources during the investigation of criminal offenses. …”
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Optimizing Spatial Input Data for Techno-Economic Modeling of Least-Cost Electrification Pathways in Zambia by Katundu Imasiku, Gregory Ireland, Alison Hughes

“…This was achieved by combining several new datasets from gridfinder.org, Geo-Referenced Infrastructure, and Demographic Data for Development - three, WorldPop, the United States Agency for International Development Demographic and Health Surveys and engaging with the national Zambian Electricity Supply Company. …”
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DOI, licence and citation uptake for seismological waveform data after 10 years of implementation effort by Helle A. Pedersen, Jonathan Schaeffer, Florian Haslinger, Rob Casey, Javier Quinteros, Lesley Wyborn, Elisabetta D’Anastasio, Jonathan B. Hanson, Jerry Carter

“…This study evaluates the level of adoption of DOIs and licences across FDSN-registered networks, analyzing their influence on data citation and compliance with FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. 73% of seismic networks that have an assigned FDSN network code have adopted DOIs, with more than 80% DOI coverage for networks created after 2014. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

“…However, the high dimensionality and inherent imbalance of gene expression data create significant challenges for accurate diagnosis. …”
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Syn‐Aug: An Effective and General Synchronous Data Augmentation Framework for 3D Object Detection by Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang, Jiandian Zeng

“…ABSTRACT Data augmentation plays an important role in boosting the performance of 3D models, while very few studies handle the 3D point cloud data with this technique. …”
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