Hadronic decay of vector charmonium from the lattice by Benoît Blossier, Jochen Heitger, Jan Neuendorf, Teseo San José

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Political Vector of Northern Sea Route Development by A. A. Fomichev

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Association of microtubule-based processes gene expression with immune microenvironment and its predictive value for drug response in oestrogen receptor-positive breast cancer by Zhenfeng Huang, Minghui Zhang, Nana Zhang, Mengyao Zeng, Yao Qian, Meng Zhu, Xiangyan Meng, Ming Shan, Guoqiang Zhang, Feng Liu

“…ObjectiveThe development of acquired endocrine resistance and reduced chemosensitivity in oestrogen receptor-positive (ER+) breast cancer presents significant challenges. Microtubule-based process-related genes (MBPRGs) play essential biological roles in the cell cycle and the development of migration. …”
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Distributed Vector Quantization over Sensor Network by Chunguang Li, Yiliang Luo

“…As a kind of data compression methods, vector quantization is an appealing technique for distributed network signal processing. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

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THE STUDY OF THE AUTONOMOUS SYNCHRONOUS GENERATOR MODES by V. S. Safaryan

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Individual’s Dominants as Vector of Language Interpretation of Quantity by E. V. Fedyaeva

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Combination of dynamic and kinematic vector perturbations of beams by A. M. Kaziev, Z. R. Likhov, A. Ya. Dzhankulaev, I. Yu. Kumyshev, G. A. Shigalugov

“…The resulting transfer functions make it possible to calculate building elements in the form of rods for random processes, taking into account their correlation.…”
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THE SOCIAL PROTEST «WITH CHINESE PARTICULARITY»: THE SHIFTING VECTOR by V. A. Korsun

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Backstepping vector control strategy for MMC-RPC by SONG Pinggang, LONG Riqi, YANG Changlan, LEI Wenqi, ZHENG Yazhi

“…Secondly, the principle and design process of the backstepping vector control strategy were discussed in detail. …”
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Low-carbon development vector in circular economy by I. S. Belik, N. L. Nikulina

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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

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Training Subset Selection for Support Vector Regression by Cenru Liu, Jiahao Cen

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Modified t-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring by Haoyu Gu, Li Wang

“…The traditional data-driven process monitoring methods may not be applicable for the system which has dynamic and multimode characteristics. …”
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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

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Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process by Yuehjen E. Shao, Po-Yu Chang, Chi-Jie Lu

“…The effective controlling and monitoring of an industrial process through the integration of statistical process control (SPC) and engineering process control (EPC) has been widely addressed in recent years. …”
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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…For designing an efficient homogeneous advanced oxidation process (AOP) based wastewater treatment, understanding the performance of multiple oxidants in multiple contaminant matrices is imperative, with appropriate modeling and prediction of the desired performance. …”
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Perspectives of Co-Operation between the Baltic Countries and the Eurasian Economic Union Member States in the Context of Eurasian Integration Process by Yana Glittova, Andrey V. Toropygin

“…It is highlited the importance of full restoration of economic and trade ties.One of the key issues of the article is that the integration processes in the Eurasian space have activated the process of implementation which is dynamically developing within EAEU. …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…Machine learning models such as linear regression, Support Vector Machine, decision tree, and Gaussian Process Regression were evaluated to correlate force with capacitance values. …”
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Process‐Based Atmosphere‐Hydrology‐Malaria Modeling: Performance for Spatio‐Temporal Malaria Transmission Dynamics in Sub‐Saharan Africa by Mame Diarra Bousso Dieng, Adrian M. Tompkins, Joël Arnault, Ali Sié, Benjamin Fersch, Patrick Laux, Maximilian Schwarz, Pascal Zabré, Stephen Munga, Sammy Khagayi, Ibrahima Diouf, Harald Kunstmann

“…In support of malaria vector control efforts, we present a high‐resolution, coupled physically‐based modeling approach integrating WRF‐Hydro and VECTRI. …”
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