Alterations of oral microbiome and metabolic signatures and their interaction in oral lichen planus by Li Yan, Jingyi Xu, Fangzhi Lou, Yunmei Dong, Shiping Lv, Ning Kang, Zhuoyan Luo, Yiyun Liu, Juncai Pu, Xiaogang Zhong, Ping Ji, Peng Xie, Xin Jin

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Modern Bioinformatics Solutions Used for Genetic Data Analysis by Ya. A. Kibirev, A. V. Kuznetsovskiy, S. G. Isupov, I. V. Darmov

“…The purpose of this work is to provide  the reader with information about capabilities of modern technical and methodological arsenal used for in-depth  molecular genetic study of microorganisms, including bioinformatics solutions used for the genetic data analysis. …”
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Possible Association Between Concomitant Use of SSRIs with NSAIDs and an Increased Risk of Adverse Events Among People with Depressive Disorders: Data Mining of FDA Adverse Event R... by Yi Zhang, Xiaoyu Liu, Jianru Wu, Xuening Zhang, Fenfang Wei, Limin Li, Hongqiao Li, Xinru Wang, Bei Wang, Wenyu Wu, Xiang Hong

“…<b>Methods</b>: Disproportionality analysis (crude reporting odds ratios, cROR) identified possible associations; drug interactions were evaluated using Ω shrinkage, additive, multiplicative, and combination risk ratio (CRR) models. …”
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Recommendation model based on separated embedding interaction networks by FENG Shulei, JIANG Zhongyun

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Comparison between two Canadian Provinces on technology use for social interaction by older adults: comparative cross-sectional survey study by Kayoung Lee, Theodore D. Cosco, Shelley Peacock, Megan E. O’Connell, Kristen R. Haase

“…Due to various measures to slow transmission in many jurisdictions, older adults were particularly impacted by measures restricting interactions. Our previous cross-sectional study identified barriers and facilitators for technology use for social interaction among older adults in British Columbia (BC), Canada. …”
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GOTHiC, a probabilistic model to resolve complex biases and to identify real interactions in Hi-C data. by Borbala Mifsud, Inigo Martincorena, Elodie Darbo, Robert Sugar, Stefan Schoenfelder, Peter Fraser, Nicholas M Luscombe

“…Existing methods use complex models to account for biases and do not provide a significance threshold for detecting interactions. …”
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Phase diagram from nonlinear interaction between superconducting order and density: toward data-based holographic superconductor by Sejin Kim, Kyung Kiu Kim, Yunseok Seo

“…We introduce positional embedding layers to improve the learning process in our algorithm, and the Adam optimization is used to predict the critical temperature data via holographic calculation with appropriate accuracy. …”
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A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…A fine-grained analysis of cross-domain interactions quantifies a near-linear competition between code and math, while showing that tool use data exhibits minimal interference. …”
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Smart marketing and advanced personalization in healthcare services: the role of consumer data in improving patient experience and brand interaction by Mehrdad Tarassoli, Mohammad Farid Ashouri

“…Additionally, brand interaction contributed to 56% of the changes in patient experience (β = 0.44, p < 0.01), while the use of consumer data accounted for 22% of its variation (β = 0.81, p < 0.01). …”
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Intelligent System Using Data to Support Decision-Making by Viera Anderková, František Babič, Zuzana Paraličová, Daniela Javorská

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Machine learning-based drug-drug interaction prediction: a critical review of models, limitations, and data challenges by Flaviu-Ioan Gheorghita, Vlad-Ioan Bocanet, Laszlo Barna Iantovics

“…Background/ObjectivesNew computational methods, based on statistical, machine learning, and deep learning techniques using drug-related entities (e.g., genes, protein bindings, etc.), help reduce the costs of in-vitro experiments through drug-drug interaction prediction (DDIp). …”
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A framework for predictive modeling of microbiome multi-omics data: latent interacting variable-effects (LIVE) modeling by Javier Munoz Briones, Douglas K. Brubaker

“…Here, we present a framework for integration of microbiome multi-omics data: Latent Interacting Variable Effects (LIVE) modeling. …”
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Simulation, Modeling, and Analysis of Soliton Waves Interaction and Propagation in CNN Transmission Lines for Innovative Data Communication and Processing by G. Borgese, S. Vena, P. Pantano, C. Pace, E. Bilotta

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CTU Hornet 65 Niner: A network dataset of geographically distributed low-interaction honeypotsMendeley Data by Veronica Valeros, Sebastian Garcia

“…Each low-interaction honeypot was identically configured to capture incoming attacks using a state-of-the-art network flow collector, Zeek. …”
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Integrating Sensor Technologies with Conversational AI: Enhancing Context-Sensitive Interaction Through Real-Time Data Fusion by Joseph C. Kush

“…Some of the specific topics that are investigated include the science behind sensor networks and acquiring real-time data, how ChatGPT can analyze sensor data to generate dialogue that is sensitive to context, instances in healthcare (such as using wearable sensors along with AI chatbots for patient treatment), and smart homes (interaction with AI assistants driven by sensors). …”
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Petri graph neural networks advance learning higher order multimodal complex interactions in graph structured data by Alma Ademovic Tahirovic, David Angeli, Adnan Tahirovic, Goran Strbac

“…Abstract Graphs are widely used to model interconnected systems, offering powerful tools for data representation and problem-solving. …”
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Enhanced Alzheimer&#x2019;s Disease Prediction Through Integration of Protein-Protein Interaction Data and Meta-Learning by Hansa J. Thattil, M. N. Arunkumar, Francis Antony

“…Our approach utilized curated data from the Disease Gene Network Database (DisGeNET), a database of gene-disease associations, and protein-protein interaction data from the Search Tool for Retrieval of Interacting Genes/Proteins (STRING) dataset. …”
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A survey of computational approaches for characterizing microbial interactions in microbial mats by Vanesa L. Perillo, Michael Nute, Nicolae Sapoval, Kristen D. Curry, Logan Golia, Yongze Yin, Huw A. Ogilvie, Luay Nakhleh, Santiago Segarra, Devaki Bhaya, Diana G. Cuadrado, Todd J. Treangen

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INTERACTIONAL MODIFICATION LANGUAGE USED BY THE TEACHER IN ENGLISH CLASSROOM IN MTS PUI CIKASO by Elin Marlina, Dadang Solihat, Nida Amalia Asikin

“…The observation is conducted 8 times (8 meetings) where every meeting spends 40 minutes. Interview used to support the data about teacher’s opinion while using interactional modification language. …”
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Gender differences in symptom interactions between problematic smartphone use and social anxiety in adolescents: a network analysis by Sipu Guo, Xinyuan Zou, Yanqiang Tao, Yichao Lv, Xiangping Liu, Silin Huang

“…Abstract Background Increased prevalence of problematic smartphone use (PSU) in adolescents, results in a cycle of interaction between PSU and social anxiety. …”
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