“The Revolution of Dignity" in Ukraine in the Context of Civilizational Choice by I. V. lgnatushko

“…Currently, the most acute stage is observed, accompanied by the loss of territory, armed conflict between supporters of the Western development vector and the Russian or Slavic vector.…”
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The Novel Sequence Distance Measuring Algorithm Based on Optimal Transport and Cross-Attention Mechanism by Yanmin Yu, Yongcai Lai, Ping Yan, Haiying Liu

“…Then, we pay attention from each representative vector of the term of the target subsequence to the entire source subsequence. …”
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Identification, Cloning, and Expression of A Major Thermolabile Hemolysin Gene from Vibrio alginolyticus ATCC17749 by Raj Kamal Vibhuti, Avijit Pramanik

“…Vibrio alginolyticus, an opportunistic pathogen in humans, obtains iron from various iron-containing compounds, including hemin, a heme derivative. This process may be an important virulence-associated adaptation for evolution into a human pathogen. …”
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General Inverse Problem Solution for Two-Level Systems and Its Application to Charge Transfer by Agostino Migliore, Hiromichi Nakazato, Alessandro Sergi, Antonino Messina

“…We provide a general expression for the field that drives the dynamics of the system so as to realize prescribed time evolutions of the expectation values of the Pauli operators and the autocorrelation of the Pauli vector. The analysis is applied to two-state charge transfer systems, showing that the charge transfer process can be seen as a motion of the state of the associated fictitious qubit on the Bloch sphere, and that the expectation values of the related Pauli operators describe the interference between the two differently localized electronic states and their population difference. …”
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Self-supervised change detection of heterogeneous images based on difference algorithms by Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng

“…Secondly, the hierarchical FCM clustering algorithm is improved to extract stable and correct self-supervised samples by difference images so that the clustering process is not overly dependent on thresholds. Then, the support vector machine classifier is trained based on the heterogeneous images, the fused images, and self-supervised sample sets, and the information from the fused images is utilized to increase the feature dimension for better detection of changes. …”
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Green finance and innovation input: the promoters of carbon neutrality in China by Song GAO, Yating ZHU, Adelina DUMITRESCU PECULEA

“…In this study, a time-varying parametric vector autoregressive model with a stochastic fluctuation term is used to fully examine the evolving relationships among green finance, inputs for innovation, and the process of achieving carbon neutrality. …”
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Network Aspect of Multilateral Diplomacy by I. A. Kunina

“…It is pointed out that multilateral diplomacy is called upon to play a significant role in modern international relations; moreover, it is becoming the main means of collective management of global world processes. It is clarified that “network diplomacy” is becoming the format of multi-vector diplomacy, based on flexible types of participation in multilateral structures. …”
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Acceleration Harmonic Estimation in a Hydraulic Shaking Table Using Water Cycle Algorithm by Jianjun Yao, Zhenshuai Wan, Yu Fu

“…The estimation process based on WCA is sequentially updating the weight vector of the signal. …”
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A Bicriteria Approach Identifying Nondominated Portfolios by Javier Pereira, Broderick Crawford, Fernando Paredes, Ricardo Soto

“…Numerical examples show that the optimization and sorting processes both improve computational efficiency of the original algorithm. …”
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Design and Analysis of the Tooth Profile of Double Generating-wave Swing-rod Movable Tooth Drive by Yi Yali, Shao Cang, Jin Herong, An Zijun

“…To realize the controllable of the motion state of double generating- wave swing- rod movable tooth drive,the reverse design of wave generator tooth profile is carried out by using the complex number vector method based on the given motion law of the swing- rod. …”
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Application of Closed Reconstruction Method in Error Detection of RV Cycloidal Gear by Meng Tian, Tianxing Li, Yulong Li, Jinfan Li

“…The practicality and effectiveness of this method are verified by comparison of examples， which provides data basis for subsequent finishing processing.…”
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Springback Prediction of Sandwich Panel Using Machine Learning Methods by Raja Ouled Ahmed Ben Ali, Sami Chatti

“…Secondly, three machine learning approaches are applied, including linear regression (LR), artificial neural network (ANN), and support vector machine (SVM) in order to predict the springback of sandwich panels in the three-point bending process. …”
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The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data by Sudarmaji Saroji*, Ekrar Winata, Putra Pratama Wahyu Hidayat, Suryo Prakoso, Firman Herdiansyah

“…This research presents an automated lithofacies classification using a machine learning method to increase computational power in shortening the lithofacies classification process's time consumption. The support vector machine (SVM) algorithm has been applied successfully to the Damar field, Indonesia. …”
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Building an Egocentric-to-Allocentric Travelling Direction Transformation Model for Enhanced Navigation in Intelligent Agents by Zugang Chen, Haodong Wang

“…Studies on the Drosophila central complex have revealed that these insects use neural signals from the ellipsoid body and fan to track allocentric travel angles and update spatial awareness during movement, a process that heavily relies on directional vector manipulation. …”
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Implementasi Algoritme Morus V2 untuk Pengamanan Data Pada Perangkat Bluetooth Low Energy by Diah Ratih Destyorini, Ari Kusyanti, Reza Andria Siregar

“…From the test results, the MORUS V2 algorithm has been successfully implemented through test vector testing with the same keystream value.  Confidentiality testing has been successfully carried out through encryption and decryption processes. …”
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Advancing patient care: Machine learning models for predicting grade 3+ toxicities in gynecologic cancer patients treated with HDR brachytherapy. by Andres Portocarrero-Bonifaz, Salman Syed, Maxwell Kassel, Grant W McKenzie, Vishwa M Shah, Bryce M Forry, Jeremy T Gaskins, Keith T Sowards, Thulasi Babitha Avula, Adrianna Masters, Jose G Schneider, Scott R Silva

“…The training process involved sequential feature selection (SFS) when appropriate, followed by hyperparameter tuning. …”
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Role of the Plenum of Russian Supreme Court in the judicial practice formation by Yu. S. Pestereva, I. G. Ragozina, E. I. Chekmezova

“…The authors draw attention to the problem of evaluative features used in the process of law enforcement when interpreting the norms of the Special Part of the Criminal Code of the Russian Federation. …”
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Machine Learning-Based Non-Invasive Prediction of Metabolic Dysfunction-Associated Steatohepatitis in Obese Patients: A Retrospective Study by Jie Chen, Bo Zhang, Yong Cheng, Yuanchen Jia, Biao Zhou

“…Various ML models, including K-nearest neighbors, linear support vector machine, radial basis function support vector machine, Gaussian process, random forest, multilayer perceptron, adaptive boosting, and naïve Bayes, were developed through cross-validation and hyperparameter tuning. …”
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Modeling the distribution of the invasive snail Physella acuta in China: Implications for ecological and economic impact by Yingxuan Yin, Anyuan Xu, Xiaowen Pan, Qing He, Aoxun Wu, Linya Huang, Yinjuan Wu, Xuerong Li

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Deep learning for compressed sensing based sparse channel estimation in FDD massive MIMO systems by Yuan HUANG, Yigang HE, Yuting WU, Tongtong CHENG, Yongbo SUI, Shuguang NING

“…For FDD massive multi-input multi-output (MIMO) downlink system, a novel deep learning method for compressed sensing based sparse channel estimation was proposed, which was called convolutional compressed sensing network (ConCSNet).In the ConCSNet, the convolutional neural network was utilized to solve the inverse transformation process from measurement vector y to signal h and solve the underdetermined optimization problem through data-driven method without sparsity.Simulation results show that the algorithm can recover the channel state information in massive MIMO Systems with unknown sparsity more quickly and accurately.…”
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