Use It or Lose It: Facilitating the Use of Interactive Data Apps in Psychological Research Data Sharing by Franziska Usée, Christiane A. Melzig, Dirk Ostwald

“…With the present work, we propose interactive data apps (IDAs) as innovative ORD supplements that provide a means to lower barriers of ORD reuse. …”
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Challenges in Detecting Ecological Interactions Using Sedimentary Ancient DNA Data by Fiona Margaret Callahan, Jacky Kaiyuan Li, Rasmus Nielsen

“…Sedimentary ancient DNA data can be used to infer associations between species, which can generate hypotheses about biotic interactions, a key part of ecosystem function and biodiversity science. …”
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Data-driven identification of situated meanings in corpus data using Latent Class Analysis by Rosemeyer Malte

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Hybrid Optimized Feature Selection and Deep Learning Method for Emotion Recognition That Uses EEG Data by asmaa Bashar Hmaza, Rajaa K. Hasoun

“…The process begins with collecting and preprocessing EEG information to use the data for training and testing the proposed system. …”
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The Prevalence of Potential Drug-Drug-Gene Interactions: A Descriptive Study Using Swiss Claims Data by Wittwer NL, Meier CR, Huber CA, Moser JD, Meyer zu Schwabedissen HE, Allemann SS, Schneider C

“…We assessed concomitant drug use between 2017 and 2021, using claims data from a Swiss insurance company (Helsana).Results: Out of 894,748 individuals continuously insured, between 17.4% (± 5-days window) and 24.8% (± 30-days window) were exposed to potentially interacting drug pairs, with 1.5% to 2.2% being exposed to potentially strong interacting drug pairs. …”
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Privacy-Preserving Healthcare Data Interactions: A Multi-Agent Approach Using LLMs by Carmen De Maio, Giuseppe Fenza, Domenico Furno, Teodoro Grauso, Vincenzo Loia

“…Integrating Electronic Health Records (EHRs) into clinical workflows is crucial for advancing healthcare delivery but poses significant challenges, especially in improving humanmachine interactions through natural language queries. This study builds on prior research [1] by introducing a multi-agent system that uses Large Language Models (LLMs) for secure interactions with healthcare data. …”
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Considering time-interaction terms using parametric survival models for interval-censoring data by Erfan Ghasemi, Alireza Akbarzadeh Baghban, Ahmadreza Baghestani, Saeed Asgary

“…This can be done by adding time-interaction terms to the model. Method: In this research, a parametric survival model, which is capable of evaluating the effects of time-dependent variables, was applied for interval-censored data such that the time to invariant variables interaction terms were considered as time-dependent variables. …”
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Development and Balance Evaluation for Land Use and Transport Interaction Using Node-Place Model and Data Envelopment Analysis by Xiaoyi Ma, Hongjie He, Mingmin Liu, An Jin

“…To meet the evolving demands of land use and transport interaction (LUTI) assessment within China’s national territory spatial planning (NTSP) system, this paper introduces the level of development (LoD) and the level of matching (LoM) evaluation models, based on the traffic facility and land use factors. …”
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Assessing species interactions using integrated predator-prey models by Paquet, Matthieu, Barraquand, Frédéric

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Identification of an additive interaction using parameter regularization and model selection in epidemiology by Chanchan Hu, Zhifeng Lin, Zhijian Hu, Shaowei Lin

“…We present two pathways to achieve this end: one is to complete the constraint by adding a regular penalty term to the model likelihood function; the other is to use model selection. Result Using simulated and real data, our proposed methods effectively identified additive interactions and proved to be applicable to real-world data. …”
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Face-to-Face Interactions Estimated Using Mobile Phone Data to Support Contact Tracing Operations by Silvino Pedro Cumbane, Gyözö Gidófalvi, Osvaldo Fernando Cossa, Afonso Madivadua Júnior, Nuno Sousa, Frederico Branco

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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

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Interaction Prediction on BACE-1 Inhibitors Data for Alzheimer Disease using Message Passing Neural Network by Bihter Daş, Suat Toraman

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STopover captures spatial colocalization and interaction in the tumor microenvironment using topological analysis in spatial transcriptomics data by Sungwoo Bae, Hyekyoung Lee, Kwon Joong Na, Dong Soo Lee, Hongyoon Choi, Young Tae Kim

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Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data by Bo Lu, Bo Lu, Qingyun Liu, Hao Liu, Tianxiang Long, Tianxiang Long

“…This study examines universities in Wuhan, China, using crowdsourced data and machine learning methods to analyze the nonlinear and interactive effects of campus built environments on exercise walking.MethodsThis study utilized crowdsourced exercise walking data and incorporated diverse campus characteristics to construct a multidimensional variable system. …”
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Extracting knowledge of preventive maintenance using data mining technique in interaction with production within textile industry by Shahram Fatemi

“…Due to extensive information from the textile industry (with the help of the Ministry of Industry, Mine and Trade), the current research is unique. Using IBM SPSS Modeler 18, the most significant results of datamining calculations to extract knowledge are as follows, which are arranged based on main predictors of the research: predicting models of "strategy innovation in net with data code (A5)" with the prediction wight of 0.34; "technology innovation in net with data code (A1)" with the prediction wight of 0.30; "work environment innovation in net with data code (A3)" with the prediction wight of 0.16; Quality innovation in net with data code (A4)" with the prediction wight of 0.15; "employe  innovation in net with data code (A2)" with the prediction wight of 0.10 are utilized to accurately analyze preventive maintenance in interaction with production.…”
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Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction by Arulmozhi P, Gopi R

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The feasibility of utilizing the open dynamic interaction network (ODIN) app to assess rEMA data across 30 days among those recovering from alcohol use disorders by Dennis E. McChargue, Bilal Khan, Jessica Phelps, Patrick Duryea, Kimberly A. Tyler, Arthur Andrews, Ellie Reznicek, Lucy Napper, Mohamed Saad, Hsuan-Wei Lee

“…Data assessed the feasibility of using the open dynamic interaction network (ODIN) responsive ecological momentary assessment (rEMA). rEMA collected daily estimates on affect, urges, sober-support engagement, and use. …”
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Use of individual Google Location History data to identify consumer encounters with food outlets by Olufunso Oje, Ofer Amram, Perry Hystad, Assefaw Gebremedhin, Pablo Monsivais

“…We developed methods to identify visits to food outlets using outlet-specific buffer zones applied to the InfoUSA data on food outlet locations. …”
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The use of the interactive DA-42T aircraft cockpit mockup in the process-oriented training by A. S. Knyazev, A. Ju. Popov, E. A. Romantsov

“…When studying multi-function display cockpits, it is necessary to use interactive training devices in which displays must operate under power and possess the required capabilities. …”
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