Stochastic Differential Games and a Unified Forward–Backward Coupled Stochastic Partial Differential Equation with Lévy Jumps by Wanyang Dai

“…The SDGs have <i>q</i> players and are driven by a general-dimensional vector Lévy process. By establishing a vector-form It<i>o</i>-Ventzell formula and a 4-tuple vector-field solution to the unified SPDE, we obtain a Pareto optimal Nash equilibrium policy process or a saddle point policy process to the SDG in a non-zero-sum or zero-sum sense. …”
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Enhancing Speech Recognition Using Improved Particle Swarm Optimization Based Hidden Markov Model by Lokesh Selvaraj, Balakrishnan Ganesan

“…Following that, to accomplish the training process, the extracted characteristics are given to genetic algorithm based codebook generation in vector quantization. …”
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Digital Service Model of Red Educational Resources from the Perspective of Excellent Traditional Culture by Dan Liu

“…Determine the influencing factors of red education resources in the integration process, integrate the remote scheduling principle of teaching information into the feature vector extraction of red education resources, extract the number of main factors of the feature vector, decompose the feature vector of red education resources, take the wavelet entropy of red education resources as the fusion weight, and integrate the obtained coefficients through wavelet transformation. …”
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MCE-HGCN: Heterogeneous Graph Convolution Network for Analog IC Matching Constraints Extraction by Yong Zhang, Yong Yin, Ning Xu, Bowen Jia

“…In the matching prediction process, the mean <i>F</i>1 score reached 0.917 across different netlist processes and circuit types while maintaining a shorter runtime compared to other methods. …”
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Capturing the Complex: An Intraindividual Temporal Network Analysis of Learning Resource Regulation by Bettina Harder, Nick Naujoks-Schober, Manuel D. S. Hopp

“…Specifically, using a Graphical Vector Autoregressive (graphicalVAR) model, yielding a contemporaneous and a temporal dynamics network model, we identified pivotal resources in regulating the student’s learning processes and outcomes, including resources with strong connections to other variables, intermediary resources, and resources maintaining the system’s homeostasis. …”
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IL-17 Mildly Rescued the Impaired Proliferation of Alveolar Epithelial Cells Induced by LCN2 Overexpression by Tingting Lv, Ziliang Hou, Kaiyuan Yang, Jinxiang Wang

“…Alveolar type 2 (AT2) cells as the stem cells of alveolar epithelium participate in the repair process after alveolar injury. Lipocalin-2 (LCN2) participates in multiple processes regulating the pathological process of alveolar epithelial cells, but the mechanisms involved are still unclear. …”
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Trends and Peculiarities of Educational Migration in Modern Russia by S. I. Chernykh, A. A. Izgarskaya

“…This means that educational migration as part of the internationalization process is becoming an indicator of the regional educational systems’ competitiveness. …”
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Some conceptual aspect of overcoming anti-detection and investigation of crimes by G.V. Burganova, R.R. Rahmatullin

“…At the present stage of research, we can argue about the beginning of the formation of a new forensic doctrine – the doctrine of countering the detection and investigation of crimes (judicial proceedings) and the methods and methods for overcoming them. This vector of development of forensic science is relevant due to practical necessity, the actual state of affairs, as well as the essence of law, which obliges to respond to all the processes occurring in public life.…”
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Permanence and changes in pastoral farming in the Southern Alps by Laurent Garde, Marc Dimanche, Jacques Lasseur

“…In both cases, changes in public policies and markets, as well as the emergence of new environmental stakes have determined or are in the processes of determining the future of pastoral farming. …”
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Quantization of nonequilibrium heat transport models based on isomorphism and gauge symmetry by Chen Yang

“…Based upon, we further studied the quantization of enthalpy and entropy from a reversible thermodynamic process, including continuous and discretized system. …”
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La construction des échelles de la sécurité maritime dans un contexte d’intégration régionale : le cas de la grande région Caraïbes et ses façades Atlantique et Pacifique... by Sylvain Domergue

“…It also aims to analyse how and to what extent these security constraints and responses can be a vector for strengthening regional political integration processes. …”
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Minimization of unevenness of the loading of the selfcompensating high voltage power lines by Suslov V.M, Postolati V.M.

“…For minimization of unevenness of the loading the chains operated selfcompensating high-voltage power lines (OSHPL) in process of management of its reception capacity by means of synchronous change the angular shift of the phases of the voltage vector systems of the chains on its both sides is offered hereto process to add the additional regulation on sending end of the line. …”
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Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…Most often, the input sample is determined by  the  input  data  vector.  The  components  of  this  vector  are  the various characteristics of the sample. …”
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SIGNIFICANCE AND PRINCIPLES OF ENVIRONMENTAL TAXATION by L. S. Samodelko, M. V. Karp

“…Greening of taxation is an actual vector of reforming the tax system in the Russian Federation. …”
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Non-Iterative Recovery Information Procedure with Database Inspired in Hopfield Neural Networks by Cesar U. Solis, Jorge Morales, Carlos M. Montelongo

“…This algorithm is inspired by Hopfield Neural Networks (HNN), which allows the recursive reconstruction of an information vector through an energy-minimizing optimal process, but this paper presents a procedure that generates results in a single iteration. …”
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Use of photogrammetry to survey Iron Age rock art motifs in the Côa Valley: the Vermelhosa Rock 3 case study (Vila Nova de Foz Côa, Portugal) by Natália Botica, Luís Luís, Paulo Bernardes

“…However, in certain cases where specific small areas of the panel are affected by challenging lighting conditions, further fieldwork is still necessary, analogous to the direct tracing process. Additionally, this study introduces an information system designed to integrate the vector graphics and the motifs characterisation data; this supports enhanced research in the area and promotes improved open access for potential reuse in new interpretations or integration into future projects. …”
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THE INFLUENCE OF ECONOMIC MENTALITY ON SOCIO-ECONOMIC DEVELOPMENT by Z. Halushka, V. Zapukhlyak, L. Klevchik, O. Luste, B. Storoshchuk

“…The current stage of socio-economic development is characterized by structural reforms connected with forming of competitive market environment, development of various forms of ownership, formation of qualitatively new forms of economic activity organization, deepening integration processes. Authors underline inconsistenciesbetween the interaction of the formal and historically formed informal institutions actualizes the role of economic mentality, since it directly influences the general vector of socio-economic system development. …”
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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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Few-shot English text classification method based on graph convolutional network and prompt learning by Yunfei Jin

“…On the other hand, a manual prompt template is used to obtain a class prediction semantic vector for the [MASK] position. In the process of classification prediction, the similarity between class prediction semantic vector and class representation vector is used as classification basis. …”
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Predicting Three-Dimensional (3D) Printing Product Quality with Machine Learning-Based Regression Methods by Ahmet Burak Tatar

“…Within this framework, prediction models including Linear Regression (LR), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), Gaussian Process Regression (GPR), and Multi-Layer Perceptron (MLP) were developed, and their performances were assessed using metrics such as accuracy (R²), error rates (RMSE, MSE, MAE), and computational time. …”
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