Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network by Zhiqi Shen, Kaiquan Cai, Quan Fang, Xiaoyan Luo

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Methods of designing work operations in the conditions of digital technologies implementation in the construction industry by I. V. Karakozova, I. M. Lisitsyn, K. V. Boldyshev

“…The introduction of the proposed set of measures for the creation, maintenance and support of the mass system of production norming in construction will contribute to the formation of a unified state standard of the system of production norming, preservation of work production technologies, acceleration of the process of training in labour techniques, creation of a basis for robotization of production and application of artificial intelligence in the modelling of optimal technological processes.…”
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Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation by Karthik Raman, Rukmini Kumar, Cynthia J. Musante, Subha Madhavan

“…Model‐Informed Drug Development (MIDD) uses mathematical models to simulate intricate processes involved in drug absorption, distribution, metabolism, and excretion, as well as pharmacokinetics and pharmacodynamics. Artificial intelligence (AI), encompassing techniques such as machine learning, deep learning, and Generative AI, offers powerful tools and algorithms to efficiently identify meaningful patterns, correlations, and drug–target interactions from big data, enabling more accurate predictions and novel hypothesis generation. …”
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Development of Environmental Action Plans for Adaptation to Climate Change: A Perspective of Air Quality Management by Han-Shi Chen, Kei-Iong Tam, Yu-Lin Zhao, Lan Yuan, Weiyi Wang, Merrisa Lin, Pen-Chi Chiang

“…In this study, a Climate Change Adaptation Plan concerning Air (CCAP-Air) is proposed based on the summary of policies and strategies in developed countries (United States, United Kingdom, Germany, Japan, and Australia), where five main strategies were suggested, including integrating the impacts of climate change on air quality into legislation, developing models to simulate the impacts of climate change on air quality, incorporating nature-based solutions into air quality management, considering AIoT (Artificial Intelligence Internet of Things) into climate change monitoring and governance, and establishing green finance system for tackling climate change. …”
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An Improved Method for Enhancing the Accuracy and Speed of Dynamic Object Detection Based on YOLOv8s by Zhiguo Liu, Enzheng Zhang, Qian Ding, Weijie Liao, Zixiang Wu

“…The proposed method offers a valuable reference for the field of dynamic object detection, providing actionable insights for applications such as robotic skill learning, generalization, and artificial intelligence-driven robotics.…”
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HGeoKG: A Hierarchical Geographic Knowledge Graph for Geographic Knowledge Reasoning by Tailong Li, Renyao Chen, Yilin Duan, Hong Yao, Shengwen Li, Xinchuan Li

“…HGeoKG serves as both a reference for GeoKG construction and a benchmark for geographic knowledge reasoning, driving the development of geographical artificial intelligence (GeoAI).…”
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PMMB COVID-19 Bulletin: Spain (18th April 2020) by Hooi-Leng Ser, Vengadesh Letchumanan, Jodi Woan-Fei Law, Loh Teng-Hern Tan, Nurul-Syakima Ab Mutalib, Learn-Han Lee

“…The Spanish government has taken counter-measures for the management of COVID-19, consisting of the announcement of “state-of-emergency” and subsequent extension to control movements, setting up research grants to expedite drug and vaccine development in addition to introduction of the use of artificial intelligence as an official channel to provide advice and enquires about COVID-19. …”
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Digital healthcare services in community pharmacies in Switzerland: Pharmacist and patient acceptability, and pharmacist readiness–the Pneumoscope™ pilot study by Claudine Backes, Coralie Godot, Cédric Yan Gujer, Noémie Obegi, Alexandre Perez, Alain Gervaix, Marie P. Schneider

“…Background The integration of artificial intelligence (AI)-based pharmaceutical services in community pharmacy (CP) settings has the potential to enhance point-of-care services and improve informed patient access to healthcare. …”
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ChatGPT, Bard, Bing Chat, and Claude generate feedback for Chinese as foreign language writing: A comparative case study by Saleh Obaidoon, Haiping Wei

“…Abstract This comparative case study analyzes and evaluates the performance of four prevalent artificial intelligence (AI) models―ChatGPT, Google Bard, Microsoft Bing, and Claude―in generating feedback on Chinese as a Foreign Language writing. …”
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Survey on the research progress of generative adversarial networks for 6G by Chanyuan MENG, Ke XIONG, Bo GAO, Yu ZHANG, Pingyi FAN

“…The deep integration of artificial intelligence (AI) and communication technology is the typical feature of the 6G network.On the one hand, AI injects new vitality into the development of the 6G network, which can effectively use the data generated by the historical operation of the network.It enables the network to be self-maintained and selfoptimized, and accelerates the process of network intelligence.On the other hand, the rich scenarios and IoT devices of the 6G network provide a large number of application fields and massive data for AI.These can enable the better deployment of AI, fully demonstrate the performance advantages of AI, and provide high-quality services for users.However, in practice, it is difficult to give full play to the performance advantages of AI due to the difficulty of sample collection, high cost of the collection, and lack of universality which caused by the complexity of the environment.Therefore, academia and industry introduce generative adversarial network (GAN) into the design of wireless networks.The powerful feature learning and feature expression ability of GAN can generate a large number of generated samples, which realizes the expansion of the wireless database.The introduction of GAN can effectively improve the generalization ability of AI models for wireless networks.Owing to the excellent performance of GAN, the generative model represented by GAN has attracted increased attention in the field of wireless networks, and rapidly became the new research hotspot of 6G networks.Firstly, the principle of GAN and its different versions of improved derived models were summarized.Then, the framework, advantages and disadvantages of each model were analyzed.Secondly, the research and application status of these models in wireless networks were reviewed.Finally, the research trends of GAN were proposed for the 6G network requirements, which provided some valuable exploration for future research.…”
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UNDERSTANDING EMOTIONAL RESPONSES TO TEXT: A PSYCHOLINGUISTIC INVESTIGATION OF VISUAL INFLUENCES by Yana A. Volkova, Irina V. Vashunina

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Emission prediction and optimization of methanol/diesel dual-fuel engines based on ITransformer-BiGRU and NSGA-III by Mingzhang Pan, Xinxin Cao, Changcheng Fu, Shengyou Liao, Xiaorong Zhou, Wei Guan

“…To reduce engine pollutant emissions, an emission modeling and optimization scheme based on a hybrid artificial intelligence scheme is proposed in this study to reduce pollutant emissions of methanol/diesel dual-fuel engines under low load. …”
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ParasitoBank dataset for diagnosing intestinal parasitism: Helminths and protozoa in coprological samplesMendeley Data by Jader Alejandro Muñoz Galindez, Luis Reinel Vásquez Arteaga, Rubiel Vargas Cañas

“…The presented information facilitates the use of the data for various studies, spanning education and artificial intelligence development.…”
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Lipidomics of Huntington’s Disease: A Comprehensive Review of Current Status and Future Directions by Ali Yilmaz, Sumeyya Akyol, Nadia Ashrafi, Nazia Saiyed, Onur Turkoglu, Stewart F. Graham

“…The integration of lipidomics with artificial intelligence and interdisciplinary collaboration holds promise for addressing the clinical variability of HD.…”
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Advancing Sustainable Development Goals through Earth Observation Satellite Data: Current Insights and Future Directions by Qiang Zhao, Le Yu

“…Despite existing challenges in data standardization, accessibility, and cross-platform compatibility, advancements in artificial intelligence, machine learning, and collaborative frameworks are anticipated to optimize EO data use. …”
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Investigating the threat of AI to undergraduate medical school admissions: a study of its potential impact on the rating of applicant essays by Joshua Choi, Jenny Zhao, Thuy-Anh Ngo, Lawrence Grierson

“…With generative artificial intelligence (AI) tools capable of supplementing or replacing inputs by human applicants, concerns about how these tools impact written assessments are growing. …”
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A Bibliometric Analysis of Agent-Based Systems in Cybersecurity and Broader Security Domains: Trends and Insights by Shreya Girish Savadatti, Kathiravan Srinivasan, Yuh-Chung Hu

“…The top category, Computer Science Information Systems (1,424 publications), emphasizes the expanding importance of information security and artificial intelligence. Research articles are the most common document type (6,441). …”
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Study of the mechanical compression properties of Rosa sterilis S.D. Shi based on FEM by Siqian Wang, Peixuan Mao, Wenxin Feng, Yufei Yang, Yuelong Yu, Xinyue Hou, Zhiping Xie

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Predicting metabolite response to dietary intervention using deep learning by Tong Wang, Hannah D. Holscher, Sergei Maslov, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

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Theoretical and methodological aspects of personal brand formation in the digital environment by G. V. Dovzhik, V. N. Dovzhik, S. A. Musatova

“…These are, first of all, such factors as the widespread of artificial intelligence technologies into everyday life, tools for logical data integration, a significant increase in the number of Internet users. …”
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