Stochastic models allow improved inference of microbiome interactions from time series data. by Román Zapién-Campos, Florence Bansept, Arne Traulsen

“…Starting from a stochastic model, we derive dynamical equations not only for the average, but also for higher statistical moments of the microbial abundances. We use these equations to infer distributions of the interaction parameters that best describe the biological experimental data-improving identifiability and precision. …”
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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

“…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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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

“…We suggest that landscape data should always be included when analysing animal interactions from movement data. …”
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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

“…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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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

“…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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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

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

“…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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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

“…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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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

“… 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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Integrating human mobility and animal movement data reveals complex space-use between humans and white-tailed deer in urban environments by Szandra A. Péter, Travis Gallo, Jennifer Mullinax, Amira Roess, Gabriela Palomo-Munoz, Taylor Anderson

“…Temporal analysis showed deer avoiding commercial spaces during daytime but using them in late evening and early morning. These findings highlight the complex space use between species and the importance of integrating detailed human mobility and animal movement data when managing wildlife–human conflict and zoonotic disease transmission, particularly in urban areas with a high probability of deer–human interactions.…”
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A Novel Approach for Visual Speech Recognition Using the Partition-Time Masking and Swin Transformer 3D Convolutional Model by Xiangliang Zhang, Yu Hu, Xiangzhi Liu, Yu Gu, Tong Li, Jibin Yin, Tao Liu

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

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

“…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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Gender Interaction: Exploring How Shopee Mobile Technology Shapes Consumer Decisions Through the Lens of Consumer Enjoyment by Febrina Talita, Wahyuningsih Wahyuningsih, Ira Nuriya Santi

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Spatial Overlap and Behavioral Interactions Among Four Habronattus Jumping Spider Species in a Mixed‐Species Assemblage by Jenny Y. Sung, Jack A. Fogle, Nathan I. Morehouse

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Sea-Ice Surface Types Characterization and SAR Volume Backscattering Properties in Response to Sea States Interactions Using Structural Feature Fusion by Iman Heidarpour Shahrezaei, Hyun-Cheol Kim

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An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data by Xiaoran Yan, Shilong Shang, Dongxi Li, Yun Dang

“…Abstract Feature selection (FS) is especially important for high-dimensional data. In this paper, we propose an efficient and interactive feature selection approach based on copula entropy (CEFS+). …”
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Analysis of cell–cell interaction between mural granulosa cells and cumulus granulosa cells during ovulation using single‐cell RNA sequencing data of mouse ovary by Yuichiro Shirafuta, Isao Tamura, Amon Shiroshita, Taishi Fujimura, Ryo Maekawa, Toshiaki Taketani, Norihiro Sugino

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The Impact of Using Audio-Visual Interactive Media in Learning Mathematics by Linda Mardiani Setiawati, Mahsup, Abdillah, Syaharuddin

“…The data were analyzed using JASP software by inputting the Effect Size (ES) and Standard Error (SE) values. …”
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Label-free analysis of biomolecular interactions using SPR imaging by Voula Kodoyianni

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