Selection of Functional Diagram of Air Multi-Compressor Control System by Roman Kokoshko, Oleksandr Kril, Bohdan Kril

“…Study of transients of these systems’ operation is a prerequisite for creating new, more efficient algorithms of multi-compressor control systems. The paper presents the results of development and research of the operation algorithms of multi-compressor control systems. …”
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AUTOMATIC SYNTHESIS OF GAIT SCENARIOS FOR RECONFIGURABLE MECHATRONIC MODULAR ROBOTS IN THE MODIFICATION OF THE WALKING PLATFORM by S. V. Manko, E. I. Shestakov

“…One of the key issues in controlling the movement of robots of this type is the need to use original algorithms for each of the possible configurations. …”
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Analysis of polarization of dipole modes in non-circular boreholes in anisotropic formation by G. S. Shchelik

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A survey on resource allocation in backscatter communication networks by Yongjun XU, Haoke YANG, Yinghui YE, Qianbin CHEN, Guangyue LU

“…With the development of Internet of things (IoT) technology, wireless networks have the characteristics of massive user access, high power consumption, and high capacity requirements.In order to meet the transmission requirements and reduce energy consumption, backscatter communication technology was considered to be one of the most effective solutions to the above problems.In the fact of complex network scenarios, the improvement of spectrum efficiency, system capacity, and energy management has become an urgent problem of resource allocation areas in backscatter communications.For this problem, resource allocation algorithms in backscatter communications were surveyed.Firstly, the basic concept and different network architectures of backscatter communication were introduced.Then, resource allocation algorithms in backscatter communication networks were analyzed according to different network types, optimization objectives, and the number of antennas.Finally, the challenges and future research trends of resource allocation problems in backscatter communication networks were prospected.…”
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The current status and future directions of artificial intelligence in the prediction, diagnosis, and treatment of liver diseases by Bo Gao, Wendu Duan

“…Moreover, the article pinpoints future research directions. It underscores the necessity for large-scale datasets, robust algorithms, and ethical considerations in clinical practice, which is crucial for facilitating the effective integration of AI technology and enhancing the diagnostic and therapeutic capabilities of liver diseases.…”
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Upper limb human-exoskeleton system motion state classification based on semg: application of CNN-BiLSTM-attention model by Dongwei Zhao, Xiangming Ye, Song Wang, Chenfeng Zhang, Shouqian Sun, Xuequn Zhang, Ruidong Cheng

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Speech Analysis as a Tool for Detection and Monitoring of Medical Conditions: A review by Magdalena IGRAS-CYBULSKA, Daria HEMMERLING, Mariusz ZIÓŁKO, Wojciech DATKA, Ewa STOGOWSKA, Michał KUCHARSKI, Rafał RZEPKA, Bartosz ZIÓŁKO

“…Information was extracted from each paper in order to compare various aspects of datasets, speech parameters, methods of applied analysis and obtained results. 110 research papers were reviewed and 47 databases were summarized. …”
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Combating Corruption in Sport: Legal Aspect (Lucha contra la corrupción en el deporte: aspecto legal) by Tetiana Kolomoiets, Maxym Tkalych, Petro Melnyk, Bogdan Panchenko, Yuliia Tolmachevska

“…Therefore, legal science has a task to determine the legal algorithms for combating sports corruption both within the country and in the international arena. …”
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Development of explainable artificial intelligence based machine learning model for predicting 30-day hospital readmission after renal transplantation by Nasser Alnazari, Omar Ibrahim Alanazi, Muath Owaidh Alosaimi, Ziyad Mohamed Alanazi, Ziyad Mohammed Alhajeri, Khaled Mohammed Alhussaini, Abdulkarim Mekhlif Alanazi, Ahmed Y. Azzam

“…Methods We conducted a retrospective analysis of 588 renal transplant recipients at King Abdullah International Medical Research Center, with a predominance of living donor transplants (85.2%, n = 500). …”
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Differential chemoproteomic analysis of RRS-1 candidate molecule and molecules of several nonsteroidal anti-inflammatory drugs by P. A. Galenko-Yaroshevsky, I. Yu. Torshin, A. N. Gromov, O. A. Gromova, K. F. Suzdalev, R. A. Murashko, A. V. Zelenskaya, A. V. Zadorozhniy, T. R. Glechyan, G. V. Simavonyan, E.M. I. Muhammad

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Recent developments of artificial intelligence methods for sea ice concentration monitoring using high-resolution imaging datasets by Marzuraikah Mohd Stofa, Siti Raihanah Abdani, Asraf Mohamed Moubark, Muhammad Ammirrul Atiqi Mohd Zainuri, Ahmad Asrul Ibrahim, Nor Azwan Mohamed Kamari, Mohd Asyraf Zulkifley

“…This review explicitly examines research articles published from 2019 to the present, particularly those that emphasise deep learning methods. …”
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Using Video Cameras to Assess Physical Activity and Other Well-Being Behaviors in Urban Environments: Feasibility, Reliability, and Participant Reactivity Studies by Jack S Benton, James Evans, Jamie Anderson, David P French

“…It also provides a rigorous foundation for developing more scalable automated computer vision algorithms for assessing human behaviors.…”
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Remote sensing reveals the role of forage quality and quantity for summer habitat use in red deer by Thomas Rempfler, Christian Rossi, Jan Schweizer, Wibke Peters, Claudio Signer, Flurin Filli, Hannes Jenny, Klaus Hackländer, Sven Buchmann, Pia Anderwald

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Multi-dimensional sleep health and dementia risk: a prospective study in the UK Biobank by Tianyi Huang, May A. Beydoun, Sina Kianersi, Susan Redline, Lenore J. Launer

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Estimating Chlorophyll-<i>a</i> and Phycocyanin Concentrations in Inland Temperate Lakes across New York State Using Sentinel-2 Images: Application of Google Earth Engine for Effic... by Sara Akbarnejad Nesheli, Lindi J. Quackenbush, Lewis McCaffrey

“…This research provides a valuable tool for cyanobacteria parameter estimation with confidence quantification to identify lakes at risk of algal blooms.…”
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On the determination of the calculated runoff characteristics in conditions of time series homogeneity violation by Mikhail V. Bolgov, Irina A. Filippova

Pathogenesis and therapy of anemia in oncohemathology patients with recombinant erythropoietin agents (review) by N. A. Romanenko

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Prediction of Parkinson Disease Using Long-Term, Short-Term Acoustic Features Based on Machine Learning by Mehdi Rashidi, Serena Arima, Andrea Claudio Stetco, Chiara Coppola, Debora Musarò, Marco Greco, Marina Damato, Filomena My, Angela Lupo, Marta Lorenzo, Antonio Danieli, Giuseppe Maruccio, Alberto Argentiero, Andrea Buccoliero, Marcello Dorian Donzella, Michele Maffia

“…<b>Result:</b> Among all the algorithms used in this research, random forest (RF) was the best-performing model, achieving an accuracy of 82.72% with a ROC-AUC score of 89.65%. …”
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Understanding Information Propagation in Online Social Networks: A Systematic Mapping Study by Eleana Jerez-Villota, Francisco Jurado, Jaime Moreno-Llorena

“…Online Social Networks (OSNs) have become a significant research focus across various fields. The increase in their use has prompted numerous studies, particularly on the complex Information Propagation (IP) process, which researchers have approached from different perspectives and lines of investigation. …”
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Advancement of electric vehicle technologies, classification of charging methodologies, and optimization strategies for sustainable development - A comprehensive review by Vikram Goud Madaram, Pabitra Kumar Biswas, Chiranjit Sain, Sudhakar Babu Thanikanti, Praveen Kumar Balachandran

“…Urban planners and policymakers need these optimization strategies to improve EV infrastructure. Article ends with research ideas. It identifies knowledge gaps and suggests research to improve EV technologies and charging systems. …”
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