A Longitudinal Perspective on Digital Skills for Everyday Life: Measurement and Empirical Evidence by Kiran Kappeler

“…To address these gaps, this article compares self-reported measures of digital skills and knowledge of datafication and algorithmization in everyday internet use and maps the evolution of their relevance for digital everyday life. …”
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Species Differences of Imperative Mood of Russian Verbs in the Linguodidactic Aspect by E. A. Bazhenova, C. Celone

“…The structure of the algorithm is defined on the base of three main factors: (1) the presence of the word “ ne ” (do not) which makes the sentence negative; (2) situations when, due to the action nature (repetitive or long-term procedural action), only the imperfect aspect must be used; (3) situations when the choice of the aspect relies on the pragmatic characteristics of the causative action, the more relevant of which authors identified in the expectedness / unexpectedness of the causative action. …”
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Pandemic COVID-19. Prevention Measures in the Russian Federation by N. I. Briko, I. N. Kagramanyan, V. V. Nikiforov, T. G. Suranova, O. Р. Chernyavskaya, N. A. Polezhaeva

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TriageHD: A Hyper-Dimensional Learning-to-Rank Framework for Dynamic Micro-Segmentation in Zero-Trust Network Security by Ryozo Masukawa, Sanggeon Yun, Sungheon Jeong, Nathaniel D. Bastian, Mohsen Imani

“…It employs a learning-to-rank algorithm with an approximated nDCG loss function, incorporating time-aware relevance and graph-aware HDC to prioritize nodes for segregation, thereby mitigating attack propagation. …”
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Technological advances and the use of IoT in monitoring Diaphorina citri in citrus cultivation by Eduardo Goiano da Silva, Franciely da Silva Ponce, Silvia Graciele Hulse de Souza

“…Integrating data from satellite images, field sensors, and machine learning algorithms makes developing more comprehensive and predictive monitoring of agricultural conditions possible. …”
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Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism by Linfeng Xi, Jianping Wang, Anqi Liu, Yifei Ni, Jie Du, Qiang Huang, Yishan Li, Jing Wen, Hongyi Wang, Shuai Zhang, Yunxia Zhang, Zhu Zhang, Dingyi Wang, Wanmu Xie, Qian Gao, Yong Cheng, Zhenguo Zhai, Min Liu

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探討強化學習演算法之素材推薦機制與AI學習履歷之學習者感知 Learner Perceptions of AI-Powered Learning Portfolios and Personalized Material Recommendation Mechanisms in Reinforcement Learning Algorithms... by 曾建維 Jian-Wei Tzeng, 黃天麒 Tien-Chi Huang, 薛承祐 Cheng-Yu Hsueh, 廖英淞 Ying-Song Liao

“…Enhancing usage incentive, continuously refining the accuracy of the recommendation system’s algorithms, and conducting comparative analyses with existing systems are essential to improve the recommendation system’s perceived utility. …”
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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Olena Gavrilenko, Mykhailo Miahkyi

“…The purpose of the study is to develop an algorithm for studying the level of influence of posts of each of the selected group of experts in social networks on the cryptocurrency rate. …”
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Forecasting the cryptocurrency exchange rate based on the ranking of expert opinions by Олена Гавриленко, Михайло Мягкий

“…The purpose of the study is to develop an algorithm for studying the level of influence of posts of each of the selected group of experts in social networks on the cryptocurrency rate. …”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…This finding provides a valuable approach to effectively address the sequential uncertainties of relevant factors in soft ground tunneling for similar projects.…”
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Ultrasonic Glued Wood Finger-jointed Panel Quality Inspection System with Barker Code Pulse Excitation by Jie Chen, Yongning Yuan, Daipeng Fu, Jun Wang, Hongyan Zou, Liang Qi, Zheng Wang

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A configuration and scheduling optimization method for integrated energy systems considering massive flexible load resources by Zihao Wang, Shenhua Wang, Hanwen Ni, Junyin Wang, Jun Zhang

“…These findings provide valuable references for relevant engineering applications.…”
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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

“…Then, we applied wavelet transform (WT) to capture the time-frequency characteristics of the signals and extract energy features and created a feature set comprising 30 features and selected 10 most relevant ones using the “SelectKBest” function.We compared six algorithms, optimized their parameters, and evaluated the stability and fitting performance of each algorithm. …”
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Protocol for nationwide surveillance of Acute Encephalitis Syndrome (AES) in a network of tertiary care hospitals in India by Anoop Velayudhan, Harmanmeet Kaur, Rahul Dhodapkar, Labanya Mukhopadhyay, Rizwan S. Abdulkader, Sabarinathan R, Valsan Philip Verghese, Lalit Dar, Rakesh Lodha, Ravi V, Sam Joy, Pragya Yadav, Amita Jain, Ajanta Sharma, Kaveri K, Sayantan Banerjee, Anitha PM, Manjusree S, Bharti Malhotra, Baijayantimala Mishra, Mala Chhabra, Asim Sarfraz, Bashir Fomda, Mahima Mittal, Manoj Murhekar, Nivedita Gupta

“…Pathogens of interest have been grouped in the testing algorithm into five levels (Levels 1–5) in decreasing order of priority based on their reported incidence. …”
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Microcontroller-Driven Battery Management in Hybrid Energy Systems: A Systematic Review of Applications, Control Strategies, and Emerging Trends by Ripfumelo Humphrey Malele, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…To collect documents, a systematic procedure was employed using targeted keywords to search within the Scopus database, while focusing on relevant, recent engineering papers. Eligible documents were refined, exported, and carefully assessed for relevancy, ensuring a comprehensive dataset for analysis. …”
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A Review on Data-Driven Model-Free Sliding Mode Control by Duby Castellanos-Cárdenas, Norha L. Posada, Andrés Orozco-Duque, Lina M. Sepúlveda-Cano, Fabio Castrillón, Oscar E. Camacho, Rafael E. Vásquez

“…The most used SMC schemes and their integration with data-driven techniques and intelligent algorithms, including identifying the leading applications, are presented.…”
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Stronger compact representations of object trajectories by Adrián Gómez-Brandón, Gonzalo Navarro, José R. Paramá, Nieves R. Brisaboa, Travis Gagie

“…In this paper we considerably enhance their space, query capabilities, and time performance with three contributions. (1) We design and evaluate algorithms for more sophisticated nearest neighbor queries, finding the trajectories closest to a given trajectory or to a given point during a time interval. (2) We modify the data structure used to sample the spatial positions of the objects along time. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

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Long distance contributions to neutral D-meson mixing from lattice QCD by Matteo Di Carlo, Felix Erben, Maxwell T. Hansen

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A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools by Francesco Canonaco, Francesco Canonaco, Joverlyn Gaudillo, Nicole Astrologo, Fabio Stella, Enzo Acerbi

“…These tasks, referred to as structural learning and parameter learning, are actively investigated by the research community, with several algorithms proposed and no single method having established itself as standard. …”
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