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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Estado de Bienestar Digital en Ecuador: Datificación Ciudadana y Machine Learning en la construcción y gestión de la pobreza by Alexandra Gualavisí

“… En la era de la gobernanza digital, la utilización creciente de datos y tecnologías de Big Data e Inteligencia Artificial en los sistemas de protección social se ha convertido en un asunto relevante. …”
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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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Corrigendum: Modulation of local immunity by the vaginal microbiome is associated with triggering spontaneous preterm birth by Yijia Liang, Yijia Liang, Yijia Liang, Changying Zhao, Yan Wen, Dashuang Sheng, Tiantian Wei, Tianqi Hu, Junhui Dai, Guoping Zhao, Guoping Zhao, Guoping Zhao, Sijie Yang, Sijie Yang, Qinghua Wang, Lei Zhang, Lei Zhang

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The Impact of Logistics and Key Macroeconomic Indicators on the Development of the Startup Ecosystem in Europe by Valentyna Yakubiv, Antonina Tomashevska, Iryna Piatnychuk, Liliia Turovska, Finbarr Carter

“…Innovative technologies like the Internet of Things (IoT) enhance supply chain visibility and efficiency, while warehouse automation and big data analytics streamline operations. Blockchain technology, with its transparency and security, fosters trust and efficiency in supply chains, a critical factor for startups seeking cost-effective and reliable logistics frameworks. …”
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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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Survey on the development of mimic defense in cyberspace:from mimic concept to “mimic+” ecology by Hailong MA, Liang WANG, Tao HU, Yiming JIANG, Yanze QU

“…Build upon the dynamic-heterogeneous-redundant architecture for multi-body execution, multi-mode ruling and multi-dimension reconstruction, cyberspace mimic defense (CMD) uses uncertain system to deal with the uncertain threat to cyberspace ubiquity.The evolution of CMD over the past 8 years were reviewed systematically from the vertical, horizontal, current, developing and future perspectives.From the vertical perspective, the development process of CMD from concept to theory and practice was summarized.From the horizontal view, it elaborated the core structure DHR (dynamical heterogeneous redundancy) of CMD, the principles based on CMD’s three major theorems, safety gains and performance costs.A comparison was conducted between CMD and five other active defense technologies, namely intrusion tolerance, moving target defense, zero trust architecture, trusted computing and computer immunology.From the current perspective, it reviewed the implementation elements, performance, system architecture, heterogeneous strategies, scheduling strategies, voting strategies and other common technology patterns and characteristics of 11 types of main existing mimic products including mimicry router, mimicry processor, mimicry DNS server and mimicry cloud platform.From the developing perspective, it explored the “mimic+” AICDS (Mimic + AI/IoT/Cloud/Data/SDN) symbiotic ecology with respect to 5 types of new technologies, namely artificial intelligence, Internet of things, cloud computing, big data and software-defined network, and proposed the corresponding technology junctions and cross research value.From the future perspective, it looked into the future mimicry baseline 2.0 product ecology, “mimic +5G/6G”, “mimic + edge computing”,“mimic + cloud” and “mimic + blockchain” application scenarios.Besides, 4 types of challenges faced by CMD in the future were analyzed and summarized, including escape space of multi-mode decision attack, mutual restriction of heterogeneous and synchronous, difficult balance between security and function, and limited transformation space of existing endogenous security components.…”
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Management of Sustainable Development of the Fuel and Energy Complex of the Regional Economic System Based on Digital Technologies by Ekaterina A. Zemlyacheva

“…The theoretical significance of the new scientific results obtained in the article and the author’s conclusions made is due to the fact that they outlined the range of priority digital technologies for the sustainable development of the fuel and energy complex, which included ERP systems, big data and digital platforms. The practical significance of the developed approach is that it will increase the flexibility and efficiency of managing the sustainable development of the fuel and energy complex of the regional economic system and most fully reveal the potential of this development in the regions of Russia by optimizing the use of digital technologies according to the author’s recommendations.…”
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A FSTCN-Based Leak Detection Method for Large-Scale Pipeline Transportation Systems by Du Zhang, Chang-Su Kim, Chul-Hyun Hwang, Tae-Jun Lee, Hoe-Kyung Jung

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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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Identifying Top-Performing Students via VKontakte Social Media Communities Using Advanced NLP Techniques by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva, Vyacheslav L. Goiko, Vitaliy V. Kashpur

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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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ANALYSIS OF THE APPLICATIONS OF THE DATA-DRIVEN APPROACH IN EVALUATING THE THERMAL-PHYSICAL PROPERTIES OF COMPOSITES by Ruslan Lavshchenko, Gennadiy Lvov

“…Additionally, the research underscores the growing reliance on big data analytics in addressing complex challenges in material behavior, particularly under variable environmental conditions. …”
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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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