SHIP identifies genomic safe harbors in eukaryotic organisms using genomic general feature annotation by Matheus de Castro Leitão, Letícia Sousa Cabral, Luiza Cesca Piva, Pedro Felipe de Sousa Queiroz, Taísa Godoy Gomes, Rosângela Vieira de Andrade, Ana Laura Alfonso Perez, Karen Letycia Rodrigues de Paiva, Sônia Nair Báo, Viviane Castelo Branco Reis, Lídia Maria Pepe Moraes, Roberto Coiti Togawa, Leila Maria Gomes Barros, Fernando Araripe Gonçalves Torres, Georgios Joannis Pappas Júnior, Cíntia Marques Coelho

“…To expand the GSH repertoire, we present SHIP, an algorithm designed to detect potential GSHs in eukaryotes. …”
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A Dataset of Real and Synthetic Speech in Ukrainian by Khrystyna Lipianina-Honcharenko, Hennadii Bohuta, Adam Ivaniush, Mariana Soia

“…The dataset contains a unique collection of audio recordings that include both real and synthesized Ukrainian speech, providing unprecedented opportunities for improving machine learning algorithms aimed at speech recognition and analysis. …”
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Professional Evolution of School Teacher on Basis of Advanced Pedagogical Experience by N. L. Sokolova

“…The study of the problems associated with the introduction of the relevant innovations in the educational process determines the main indicators and evaluation criteria of the reviewed work.…”
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Some Elements of Operational Modal Analysis by Rune Brincker

“…This paper gives an overview of the main components of operational modal analysis (OMA) and can serve as a tutorial for research oriented OMA applications. …”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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DEVELOPING THE METHODICAL THINKING OF PROSPECTIVE RUSSIAN LANGUAGE TEACHERS by T. S. Tabachenko

“…The author considers the main characteristics of methodical thinking, its content and structure including the set of cognitive components. …”
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Efficient Probabilistic Evaluation and Sensitivity Analysis of Load Supply Capability for Renewable-Energy-Based Power Systems by Jie Zhang, Kaixiang Fu, Weizhi Huang, Yilin Zhang, Qing Sun, Yuan Chi, Junjie Tang

“…In renewable energy generation, uncertainties mainly refer to power output fluctuations caused by the intermittency, variability, and forecasting errors of wind and photovoltaic power. …”
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Balancing Performance and Portability: A Study on CsI(Tl) Crystal Sizes for Real-Time Gamma-Ray Spectrum and Dose Monitoring by Nikolaos Voulgaris, Hikari Nishimura, Shingo Tamaki, Sachie Kusaka, Isao Murata

“…The monitor consists mainly of a CsI(Tl) scintillator and a multi-pixel photon counter (MPPC). …”
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Performance Investigation of Underwater Wireless Optical Communication System Using M -ary OAMSK Modulation Over Oceanic Turbulence by Wei Wang, Ping Wang, Tian Cao, Hongxin Tian, Yan Zhang, Lixin Guo

“…With Blahut–Arimoto algorithm, the channel capacity for this UWOC system is obtained. …”
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Trace Element Status (Iron, Zinc, Copper, Chromium, Cobalt, and Nickel) in Iron-Deficiency Anaemia of Children under 3 Years by Maria Georgieva Angelova, Tsvetelina Valentinova Petkova-Marinova, Maksym Vladimirovich Pogorielov, Andrii Nikolaevich Loboda, Vania Nedkova Nedkova-Kolarova, Atanaska Naumova Bozhinova

“…Data can be used for developing a diagnostic algorithm for IDA.…”
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FLUX – Software to Calculate the Synchrotron Radiation Characteristics by P.I. Gladkikh, I.A. Knyaz', A.S. Mazmanishvili, A.A. Shcherbakov

“…In this paper, the main characteristics of quantum flow of synchrotron radiation (SR) of relativistic electron beam in the storage ring NSC KIPT with maximal energy of 225 MeV are represented. …”
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Exploring the VAK model to predict student learning styles based on learning activity by Ahmed Rashad Sayed, Mohamed Helmy Khafagy, Mostafa Ali, Marwa Hussien Mohamed

“…Multiple tests were performed by different machine learning classifiers, mainly in predicting learning style and recommending an assessment methodology. …”
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Methodology for assessing the severity of diffuse peritonitis and prognosis of relaparotomy by B. V. Sigua, V. P. Zemlyanoy, S. V. Petrov, V. A. Ignatenko, P. A. Kotkov

“…Based on the achieved data, score-prognostic scale for assessing the severity of peritonitis was developed, which allowed to formulate an algorithm of surgical tactics, which was used in the treatment of 109 patients. …”
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Hierarchical Clustering Approach With Distribution Similarity Strategy for Multi-Class Botnet Labeling in Real-World Traffic by Ta-Chun Lo, Che-Hsien Lin, Jyh-Biau Chang, Ce-Kuen Shieh

“…The experimental results demonstrate that the proposed hierarchical clustering approach outperforms a single-class clustering algorithm, enabling an additional 7% of the traffic to be labeled. …”
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Enhancing DeepLabv3+ Convolutional Neural Network Model for Precise Apple Orchard Identification Using GF-6 Remote Sensing Images and PIE-Engine Cloud Platform by Guining Gao, Zhihan Chen, Yicheng Wei, Xicun Zhu, Xinyang Yu

“…This study enhanced the DeepLabv3+ model to achieve superior performance in apple orchard identification by incorporating ResNet, optimizing the algorithm, and adjusting hyperparameter configuration using the PIE-Engine cloud platform. …”
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Secret key generation for reconfigurable intelligent surface‐assisted MISO multi‐user system by Kexin Liu, Mingliang Li, Kaizhi Huang, Zheng Wan, Qinlong Li, Xiaoli Sun, Xiaoming Xu, Liang Jin

“…Then, the difference convex‐successive convex approximation based alternating optimization algorithm is proposed to solve this optimization problem. …”
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Fault Kinematics of the 2022 Delingha Mw 5.6 and Mw 5.7 Earthquakes Revealed by InSAR Observations by Xuening Wang, Donglin Wu, Lian Liu, Chenglong Li, Yongliang Bai, Xing Huang

“…We then utilized a Bayesian inversion algorithm to delineate the fault geometries of the two events, and further resolved their coseismic fault slip. …”
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Detecting unknown vulnerabilities in smart contracts using opcode sequences by Peiqiang Li, Guojun Wang, Xiaofei Xing, Xiangbin Li, Jinyao Zhu

“…We then use machine learning algorithms to detect unknown vulnerabilities based on the similarity principle. …”
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Enhancing Software Defect Prediction Using Ensemble Techniques and Diverse Machine Learning Paradigms by Ayesha Siddika, Momotaz Begum, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

“…In supervised learning, we mainly experimented with several algorithms, including random forest, k-nearest neighbors, support vector machines, logistic regression, gradient boosting, AdaBoost classifier, quadratic discriminant analysis, Gaussian training, decision tree, passive aggressive, and ridge classifier. …”
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