Parametric and non-parametric estimation of reference intervals for routine laboratory tests: an analysis of health check-up data for 260 889 young men in the South Korean military by Taeyun Kim, Hyunji Choi, Sun Min Lee

“…Objectives Determination of reference intervals (RIs) using big data faces several obstacles due to heterogeneity in analysers, period and ethnicity. …”
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Association Analysis of Food Risk Factors Based on Improved FP-growth Algorithm by YU Jiabin, MA Xinyue, ZHAO Zhiyao, WANG Xiaoyi, ZHANG Xin, CUI Xiaoyu, BAI Yuting, CHEN Shuaixiang

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Integrated collaborative filtering recommendation in social cyber-physical systems by Jiachen Xu, Anfeng Liu, Naixue Xiong, Tian Wang, Zhengbang Zuo

“…As a consequence, it is highly desired to process these big data so that meaningful knowledge can be extracted from those vast and diverse data. …”
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Schizophrenia recognition based on three-dimensional adaptive graph convolutional neural network by Guimei Yin, Jie Yuan, Yanjun Chen, Guangxing Guo, Dongli Shi, Lin Wang, Zilong Zhao, Yanli Zhao, Manjie Zhang, Yuan Dong, Bin Wang, Shuping Tan

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Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…The Naive Bayes classifier is recommended as viable for sentiment text classification, especially for text classification systems which work with Big Data.…”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…A huge amount of data is being collected in this era of big data, predominantly for AI/ML algorithms and emerging applications. …”
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Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases by Sandra Roger, Carmen Botella-Mascarell, David Martin-Sacristan, David Garcia-Roger, Jose F. Monserrat, Tommy Svensson

“…We start by identifying three current technology trends, namely, towards climate neutral; cloudification and edge computing; and Big Data and artificial intelligence, and then we examine their capability to enable sustainable Vehicle-to-Everything (V2X) communication systems in beyond 5G and 6G networks. …”
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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. Big Data has led to the development of state-of-the-art technologies that have revolutionized the process of experimentation. …”
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Intelligent information systems for power grid fault analysis by computer communication technology by Ronglong Xu, Jing Zhang

“…The system incorporates a novel fault diagnosis model, combining advanced communication technologies such as distributed computing, real-time data transmission, cloud computing, and big data analytics, to establish a multi-layered information processing architecture for grid fault analysis. …”
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Formation of Russian magistracy: implementation of the digital economy requests in the educational process by E. V. Voevodina

“…As the main results, information on the use of modern educational technologies in the preparation of Russian undergraduates has been given – a conclusion has been made about the small distribution of on-line education and network programs in universities.The research data characterizing the degree of digital competencies of Russian graduate students have been adduced: information search and processing, use of IT technologies, information security, ability to work with «big» data. It has been noted, that these skills are well developed among modern students, but the participation of universities in their development is low. …”
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Exploring Community Resilience: The Joint Roles of Environmental Knowledge and Risk Perception in Pro-Environmental Behavior by Yu Zhang, Zihao Dong, Yanying Mao, Xiaosen Huo, Liu Wu

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BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

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Adaptation of Higher Medical Education to the Conditions of Digitalization of Healthcare by V. A. Lazarenko, P. V. Kalutskiy, N. B. Dremova, A. I. Ovod

“…They require a quick quantitative assessment using modern information technology, mathematical methods, software, big data analysis, and other technology tools. Content in digitalization in healthcare also includes the creation of innovative services and platforms that enable remote communication with patients, doctors, medical and pharmaceutical services, and the use of monitoring of medical and preventive processes in medical organizations.The digitalization of higher education is one of the areas of innovative policy of universities, implemented in accordance with the requirements and conditions of the external environment and own funds. …”
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Fusion-Decomposition Pan-Sharpening Network With Interactive Learning of Representation Graph by Yunxuan Tang, Xue Wang, Peng Liu, Tong Li

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Chip Design of PTP Time Synchronization for Industrial IoT by Yee-Shao Chen, Yuan-Sun Chu, da-Wei Lo, Yen-Ting Chiang, Ting-Chao Hou

“…Its core concept is to apply technologies such as computer networking, big data, artificial intelligence and cloud services to manufacturing. …”
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An ingredient co-occurrence network gives insight into e-liquid flavor complexity by Jeroen L. A. Pennings, Ina M. Hellmich, Sanne Boesveldt, Reinskje Talhout

“…Conclusions These results exemplify that the flavor of e-liquids is not just the sum of its parts. Big data analyses on product data can be used to detect such patterns, but expert knowledge and additional data are needed for further interpretation. …”
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Performance Analysis of Iteratively Decoded Convergent Source Mapping with Sphere Packing-Assisted Differential Space-Time Spreading Technique for Efficient Video Transmission by Ishtiaque Ahmed, Nasru Minallah, Jaroslav Frnda, Jan Nedoma

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Integrating Motivation Theory into the AIED Curriculum for Technical Education: Examining the Impact on Learning Outcomes and the Moderating Role of Computer Self-Efficacy by Shao-Hsun Chang, Kai-Chao Yao, Yao-Ting Chen, Cheng-Yang Chung, Wei-Lun Huang, Wei-Sho Ho

“…Data were collected through a stratified random sampling method from 19 universities in Taiwan, involving 200 students who had completed five core AI-related courses, including artificial intelligence, machine learning, internet of things, big data, and robotics. The analysis, conducted using PLS-SEM, revealed that AI course quality directly and indirectly influences learners’ behavioral intentions through mediating variables such as learning satisfaction, computer self-efficacy, technological literacy, and computer learning motivation. …”
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Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms by Huazhu Xue, Chaoqiang Guo, Guotao Dong, Chenchen Zhang, Yaokang Lian, Qian Yuan

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Journey across extrinsic tactics for power improvements of triboelectric energy harvesting beyond intrinsic materials and device structures: A concise review by Ahmed Mahfuz Tamim, Yebin Lee, Jung Hwan Park, Geon-Tae Hwang, Chang Kyu Jeong

“…The swift evolution of technologies like the Internet of Things (IoT), artificial intelligence (AI), and big data has created an unparalleled need for self-powered sensors and devices. …”
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