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  1. 81

    The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions by Jinzhe Zeng, Timothy J. Giese, Andreas W. Götz, Darrin M. York

    Published 2025-04-01
    “…In this study, we introduce the QDπ dataset which incorporates data taken from several datasets. We use a query—by—committee active learning strategy to extract data from large datasets to maximize the diversity and avoid redundancy as relevant for neural network training to construct the QDπ dataset. …”
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  2. 82
  3. 83

    DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

    Published 2025-01-01
    “…During the current data era, data analysis across multiple disciplines has become a critical task for researchers to obtain meaningful insights and solve complex problems that are immeasurable using traditional technologies. …”
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  4. 84

    Human-Robot Interaction: The Hospitality Experience of Young People in Hotels that Use Robots by Andreea Fortuna Șchiopu, Ana Mihaela Pădurean, Ana-Maria Nica, Valentin Toader, Remus Ion Hornoiu, Maria Cordente Rodriguez

    Published 2024-11-01
    “…We extended a framework used in hospitality to include the use of technology (i.e., robots) and describe the human-robot interaction. …”
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  5. 85
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    Data Equivalency of an Interactive Voice Response System for Home Assessment of Back Pain and Function by William S Shaw, Santosh K Verma

    Published 2007-01-01
    “…BACKGROUND: Interactive voice response (IVR) systems that collect survey data using automated, push-button telephone responses may be useful to monitor patients’ pain and function at home; however, its equivalency to other data collection methods has not been studied.…”
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  7. 87

    Evaluation of novel candidate variations and their interactions related to bipolar disorders: Analysis of GWAS data by Acikel C, Aydin Son Y, Celik C, Gul H

    Published 2016-11-01
    “…Conclusion: Three classification-based data mining approaches, random forests, naïve Bayes, and k-nearest neighbors, have prioritized similar SNP profiles as predictors of bipolar disorders, in contrast to MDR, which has found different SNPs through analysis of two-way and three-way interactions. …”
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  8. 88

    Considering landscape heterogeneity improves the inference of inter-individual interactions from movement data by Thibault Fronville, Niels Blaum, Florian Jeltsch, Stephanie Kramer-Schadt, Viktoriia Radchuk

    Published 2025-06-01
    “…We suggest that landscape data should always be included when analysing animal interactions from movement data. …”
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  9. 89

    Traffic–Tourism Spatial Interaction of Lai-Qu Expressway Based on the Traffic Flow Data by Yujian Gao, Long Bai, Shengqiang Liu, Hongjuan Zheng, Jie Liu, Jinxiang Cheng, Haiyuan Yao, Qing Zhao

    Published 2025-06-01
    “…The Lai-Qu Expressway is part of the Baoding section of the Taihang Mountain Expressway. Based on the data of traffic flow on the Lai-Qu Expressway, data of regional tourism resources, and data of regional economic and social development, this paper studies the interaction between the traffic and tourism space of the Lai-Qu Expressway by using spatial interaction, geographically weighted regression (GWR), and other geospatial analysis theories and methods. …”
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  10. 90

    SeeBand: a highly efficient, interactive tool for analyzing electronic transport data by Michael Parzer, Alexander Riss, Fabian Garmroudi, Johannes de Boor, Takao Mori, Ernst Bauer

    Published 2025-06-01
    “…Abstract SeeBand is an interactive tool for extracting microscopic material parameters by fitting temperature-dependent thermoelectric transport properties using Boltzmann transport theory. …”
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  11. 91

    Humanity Test—EEG Data Mediated Artificial Intelligence Multi-Person Interactive System by Fang Fang, Tanhao Gao, Jie Wu

    Published 2024-12-01
    “…The experiment involved 20 participants, with two conditions: C1 (using EEG data) and C2 (without EEG data). The results indicated a significant increase in immersion under the C1 condition, along with a more positive emotional experience. …”
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  12. 92

    Design and Implementation of a Dashboard for Drug Interactions Mediated by Cytochromes Using a Health Care Data Warehouse in a University Hospital Center: Development Study by Laura Gosselin, Alexandre Maes, Kevin Eyer, Badisse Dahamna, Flavien Disson, Stefan Darmoni, Julien Wils, Julien Grosjean

    Published 2024-11-01
    “… Abstract BackgroundThe enzymatic system of cytochrome P450 (CYP450 ObjectiveThis study aimed to develop a drug interaction dashboard for Cytochrome-mediated drug interactions (DIDC) using a health care data warehouse to display results that are easily readable and interpretable by clinical experts. …”
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  13. 93
  14. 94

    Multi-attribute interactive visualization of three-dimensional trajectory sets by Jing He, Haonan Chen

    Published 2021-08-01
    “… Rapidly advancing location-awareness technologies and services have collected and stored massive amounts of moving object trajectory data with attribute information that involves various degrees of spatial scales, timescales, and levels of complexity. …”
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  15. 95

    Quantifying Durability and Failure Risk for Concrete Dam–Reservoir System by Using Digital Twin Technology by Emina Hadzalic, Adnan Ibrahimbegovic

    Published 2025-05-01
    “…This study presents a digital twin approach to quantifying the durability and failure risk of concrete gravity dams by integrating advanced numerical modelling with field monitoring data. Building on a previously developed finite element model for dam–reservoir interaction analysis, this research extends its application to the assessment of existing, fully operational dams by using digital twin technology. …”
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  16. 96

    Big Data in marketing analytics: opportunities and problems of use by S.F., T.O.

    Published 2023-04-01
    “…The prospects and opportunities for the development of marketing analytics based on the use of Big Data have been identified and characterized (improvement of interaction with customers; improved positioning of brands; optimization of the marketing budget; improvement of the effectiveness of predictive analytics). …”
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  17. 97

    Use of Graph Database for the Integration of Heterogeneous Biological Data by Byoung-Ha Yoon, Seon-Kyu Kim, Seon-Young Kim

    Published 2017-03-01
    “…We collected various biological data (protein-protein interaction, drug-target, gene-disease, etc.) from several existing sources, removed duplicate and redundant data, and finally constructed a graph database containing 114,550 nodes and 82,674,321 relationships. …”
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