A parameter centric service discovery framework for social digital twins in smart City by Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya

“…Thus, to solve this issue, this research proposes an exhaustive analysis of the main parameters needed to implement service discovery mechanisms for Social IoT and studies their relative importance based on a dataset of real objects. …”
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INCREASED LEVEL OF MIR-204-5P EXPRESSION IN MELANOMA CELLS UNDER THE INFLUENCE OF DACARBAZINE by S. N. Lavrentiev, M. B. Aksenenko, A. S. Averchuk, A. V. Komina, N. V. Palkina, T. G. Ruksha

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Stroke in children and adolescents: topical problems of pre-hospital diagnostics by Y. A. Khachaturov, I. O. Shchederkina, N. F. Plavunov, A. M. Sidorov, E. E. Petryaykina, I. P. Vytkovskaya, V. A. Kadyshev

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Structural Parameter Design of Magnetic Pulse Welding Coil for Dissimilar Metal Joints: Numerical Simulation, Parameter Optimization, and Experiments by Yangfan Qin, Changhui Ji, Hao Jiang, Yuefan Jiang, Junjia Cui, Guangyao Li

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Optimized Tile Quality Selection in Multi-User 360° Video Streaming by Moatasim Mahmoud, Stamatia Rizou, Andreas S. Panayides, Nikolaos V. Kantartzis, George K. Karagiannidis, Pavlos I. Lazaridis, Zaharias D. Zaharis

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The peculiarities of establishing the charter air transportation: European experience in Ukraine by Tetyana Prymak, Liubov Ivchenko, Nataliia Pohuda, Valentyna Levchenko, Viktor Trynchuk

“…The paper aims to develop an algorithm for the actions of all participants of tourist services market in order to establish effective marketing interaction based on the analysis of the reasons influencing the destabilization of the tourist services market in the field of charter air transportation. …”
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Deciphering respiratory viral infections by harnessing organ-on-chip technology to explore the gut–lung axis by Hristina Koceva, Mona Amiratashani, Parastoo Akbarimoghaddam, Bianca Hoffmann, Gaukhar Zhurgenbayeva, Mark S. Gresnigt, Vanessa Rossetto Marcelino, Christian Eggeling, Marc Thilo Figge, Maria-João Amorim, Alexander S. Mosig

“…This review bridges the gap between complex biological phenomena and the technical prowess of OoC models, providing a comprehensive roadmap for researchers in the field.…”
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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…Abstract Intuitionistic fuzzy similarity measures (IFSMs) play a significant role in applications involving complex decision-making, pattern recognition, and image processing. Several researchers have introduced different methods of IFSMs, yet these IFSMs fail to provide rational decisions. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

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Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

“…The average location error of the eight premeasured blasting events by the proposed approach is only 17.6 m, which can provide a good data research basis for analyzing MS event location and rock mass fracture characteristics in a mine.…”
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Smart UAV-assisted rose growth monitoring with improved YOLOv10 and Mamba restoration techniques by Fan Zhao, Zhiyan Ren, Jiaqi Wang, Qingyang Wu, Dianhan Xi, Xinlei Shao, Yongying Liu, Yijia Chen, Katsunori Mizuno

“…We introduced MambaIR, a novel SRR algorithm based on selective state-space models, which significantly outperforms existing methods in enhancing low-resolution UAV imagery (PSNR: 28.34 dB, SSIM: 77.07 %). …”
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Modified invasive weed optimization MPPT approach for PV system interfaced with BLDC motor for water pumping system by S. Nagaraja Rao, B. M. Kiran Kumar, B. M. Manjunatha, A. Suresh Kumar

“…To pump out the water from underground, electric motors—specifically, brushless DC (BLDC) motors—are needed. In the proposed research, two separate WPSs that will interface with the single PVS to supply water to different locations with the two BLDC motors each. …”
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Mapping dominant plant communities in the degraded Zoige swamp using Sentinel-1/2 imagery and its implications for vegetation restoration by Guoying Zhang, Chuanpeng Zhao, Mingming Jia, Rong Zhang, Hou Jiang, Zongming Wang

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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…The deep learning classification strategy proposed in this paper provides a more reliable tool for future GRB research.…”
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ASSESSMENT OF FINANCIAL SECURITY OF BANKS IN CONDITIONS OF MACROECONOMIC INSTABILITY by Tetiana Momot, Svetlana Rodchenko

“…The existing methods and models for assessing the level of financial security of commercial banks were studied; the advantages and disadvantages of each are identified; an original methodological approach to assessment (criteria, indicators, indicators, weights and algorithm) under the conditions of macroeconomic instability was summarized and proposed. …”
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CLINICAL PRESENTATION FEATURES IN THE ORAL CAVITY PATIENTS WITH GASTROESOPHAGEAL REFLUX DISEASE by O.P. Kerzyuk, N.M. Rozhko, A.V. Kindrat

“…The prospect of our further research will be to develop an algorithm for diagnosis and treatment of oral GERD manifestations and secondary dental disease prevention. …”
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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…As sound speed is a fundamental parameter of ocean acoustic characteristics, its prediction is a central focus of underwater acoustics research. Traditional numerical and statistical forecasting methods often exhibit suboptimal performance under complex conditions, whereas deep learning approaches demonstrate promising results. …”
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Study of interstage channel of hybrid turbomolecular pump by J. A. Shostak, N. K. Nikulin, P. A. Shostak, G. T. Tsakadze, E. V. Svichkar

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Stomatal State Identification and Classification in Quinoa Microscopic Imprints through Deep Learning by Abdul Razzaq, Sharaiz Shahid, Muhammad Akram, Muhammad Ashraf, Shahid Iqbal, Aamir Hussain, M. Azam Zia, Sulman Qadri, Najia Saher, Faisal Shahzad, Ali Nawaz Shah, Aziz-ur Rehman, Sven-Erik Jacobsen

“…The stomata states have been classified through the Support Vector Machine (SVM) algorithm. The overall identification and classification accuracy of the proposed system are 98.6% and 97%, respectively, helping researchers to obtain accurate stomatal state information for leaves in an efficient and simple way.…”
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Application of time series database technology in coal mine safety monitoring system by Hongliang ZHANG

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