The interaction between central and peripheral immune systems in methamphetamine use disorder: current status and future directions by Sai Shi, Yiwen Sun, Guiying Zan, Min Zhao

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Students’ experience and learning outcomes in multisensory environments: the moderating role of interaction modalities by Giulia Cosentino, Mirko Gelsomini, Kshitij Sharma, Michail Giannakos

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A big data framework for short-term power load forecasting using heterogenous data by Haibo ZHAO, Zhijun XIANG, Linsong XIAO

“…The power system is in a transition towards a more intelligent, flexible and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in future grid planning and operation.A big data framework for short-term power load forcasting using heterogenous was proposed, which collected the data from smart meters and weather forecast, pre-processed and loaded it into a NoSQL database that was capable to store and further processing large volumes of heterogeneous data.Then, a long short-term memory (LSTM) recurrent neural network was designed and implemented to determine the load profiles and forecast the electricity consumption for the residential community for the next 24 hours.The proposed framework was tested with a publicly available smart meter dataset of a residential community, of which LSTM’s performance was compared with two benchmark algorithms in terms of root mean square error and mean absolute percentage error, and its validity has been verified.…”
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Recommendation model based on separated embedding interaction networks by FENG Shulei, JIANG Zhongyun

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Interactive Effect of Education Indicators and Income Distribution in Selected Countries of the Islamic Conference Organization by Mohammad Ali Taheri, Akbar Khodabakhshi

“…For this purpose, the model is estimated in the framework of the panel data system using unit root tests, F-Limer, Hausman, Voldridge and Chi-square statistics. …”
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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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Big Data in marketing analytics: opportunities and problems of use by S.F., T.O.

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

“…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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Study on the interactive evolution mechanism of residents’ energy use behavior in shared living spaces by Xiaodan Liu, Sisi He, Wentao Peng, Ling Liao, Danyao Li, Jiaying Chen

“…Subsequently, the student dormitory is taken as an example, data are obtained through questionnaires and matlab is used to analyze the interactive evolution process of heterogeneous subjects’ energy-use behaviors, findings demonstrate that enhancing the likelihood of heterogeneous individuals adopting energy-saving strategies can be achieved through various means. …”
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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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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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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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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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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

“…However, the raw sequencing data obtained from Hi-C experiments suffer from large biases and spurious contacts, making it difficult to identify true interactions. …”
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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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