AUTOMATION OF INNOVATIVE DEVELOPMENT MANAGEMENT OF THE RUSSIAN ARCTIC ZONE by O. Klementeva, S. Chernogorskiy, K. Shvetsov

“…The subject of research is the model-algorithmic support of the automated system providing for innovative activities within the Russian Arctic zone.The article is aimed to work out the theoretical and practical methods for automation of the regional innovative system management with application of modern information technologies. …”
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A Comparative Study of Rhythmic Complexity Measures in Music Performance by Cihan Yaygın, Ozan Baysal, Yavuz Buruk, Barış Bozkurt

“…The research focuses on five rhythmic complexity measures: Lempel-Ziv, Keith, Tanguiane, Weighted Note-to-Beat Distance (WNBD), and Pressing. …”
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Optimization of Distribution Path considering Cost and Customer Satisfaction under New Retail Modes by Dengqing Wang, Yuting Yang, Yanhu Wang

“…Moreover, the immune algorithm and genetic algorithm are adopted to achieve the model solution. …”
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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…We take the spread trajectories of infectious diseases as our research subject, due to their characteristic spatiotemporal patterns, and employ a space–time cube as the visualization tool. …”
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Clinical and Epidemiological Characteristics of Infections Associated with Surgery and Treatment of Oncological Diseases by G. G. Badamshina, V. B. Ziatdinov, L. M. Fatkhutdinova, G. M. Тrukhina, B. A. Bakirov, A. V. Tutelian, G. Sh. Isaeva

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On the propeller wake evolution using large eddy simulations and physics-informed space-time decomposition by Zhan Zhang, Peng Sun, Long Pan, Teng Zhao

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Analyzing the Impact of Organic Food Consumption on Citizens Health Using Unsupervised Machine Learning by Giulio Angiolini, Giovanna Maria Dimitri

“…Despite the growing popularity of organic foods, research on their effects on human health, particularly regarding cancer and diabetes, remains limited. …”
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Geoinformatics-based prioritisation of natural resources rich regions at disaggregated levels for sustainable management by T. V. Ramachandra, Paras Negi

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Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies by Abhishek Kumar, Abdul Khader Jilani Saudagar, Muhammad Badruddin Khan

“…This approach not only improves accessibility but also personalizes learning experiences, adapting to the unique needs of each student. The research underscores the importance of inclusive design in developing IoT services, ensuring higher inclusivity rates and addressing diverse learning patterns. …”
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Myocarditis Detection Using Proximal Policy Optimization and Mutual Learning by Asadi Srinivasulu, Sivaram Rajeyyagari

“…This approach enhances the model's initial ability to recognize complex patterns in myocardial images, improving classification accuracy. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Significantly, the developed model showed a consistently high-performance level demonstrated by various metrics, which indicates that it is proficient in capturing intricate data patterns. The key insights the current research provides are the necessity of early intervention and directed training support in the educational domain. …”
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Multiple timescale variations in fronts in the Seto Inland Sea, Japan by M. Dong, X. Guo

“…However, limited observational coverage and resolution emphasize the need for further research to explore long-term temporal changes and better grasp the influences of ambient currents and wind patterns. …”
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Virtual test bench for computer-aided design of drum dryers based on kinetic laws of the drying process by V. V. Tkach, A. A. Shevtsov

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Multi-institutional TSA-amplified Multiplexed Immunofluorescence Reproducibility Evaluation (MITRE) Study by Bernard A Fox, Chichung Wang, Kristin Roman, Carla Coltharp, Carmen Ballesteros-Merino, Shawn M Jensen, Janis M Taube, David L Rimm, Cliff Hoyt, Mei Jiang, Edwin R Parra, Ignacio Wistuba, Elizabeth L Engle, John McGuire, Bethany Remeniuk, Darren Locke

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Critical depth prediction based on in-situ stress and gas content model of deep coalbed methane in Liupanshui Coalfield in China by Fang Lv, Ruidong Yang, Wei Gao, Lingyun Zhao, Yaohui Liu, Zhihua Yan, Fulun Shi, Binxin Zhang, Jingui Tang, Tongsheng Yi

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Programing mechanics in warp-knitted spacer materials with double inlay-jacquard systems by Zhang Yanting, Zhang Jing, Zhang Aijun, Liu Haisang, Chen Chaoyu, Jiang Gaoming

“…To comprehensively verify the programing model, an experimental design is exampled and then transferred into knitting parameters based on the programing system to fabricate a corresponding patterned material. This researched programing method shows great potential in increasing design efficiency and decreasing chemicals consumption in printing.…”
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Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine by Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli

“…Deep learning-based models assist radiologists by detecting patterns, generating probability maps, and predicting outcomes like heart failure. …”
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Adaptive Robust Method for Dynamic Economic Emission Dispatch Incorporating Renewable Energy and Energy Storage by Tingli Cheng, Minyou Chen, Yingxiang Wang, Bo Li, Muhammad Arshad Shehzad Hassan, Tao Chen, Ruilin Xu

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Validation of salivary uric acid remote self-monitoring for early prediction of hypertensive disorders of pregnancy: study protocol for a prospective, observational, multicentre co... by Isabel Reading, Amarnath Bhide, Ramesh Ganapathy, Baskaran Thilaganathan, Basia Chmielewska

“…We will validate a predictive algorithm that analyses colour data from several consecutive samples to detect patterns that predict whether HDP is likely to occur. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…A multilayer DNN serves as the classification algorithm to identify N6-methyladenine sites accurately. …”
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