REGIONAL STRUCTURAL‐TECTONIC ZONING OF THE UPPER CRUST OF TRANSBAIKALIA BASED ON SEISMOGRAVITATIONAL DATA ALONG REFERENCE PROFILE 1‐SB by V. D. Suvorov, E. A. Melnik, E. V. Pavlov, A. S. Salnikov

“…Upper crust features revealed from seismic data agree with known geological structures, this indicating the basic applicability of refraction surveys to tectonically complex areas with 7 to 10 km wide low‐angle dipping fault zones between blocks marked by velocity anomalies to depths of 4–6 km. …”
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Detection of Structural Control on Formation Water Quality, in Hemrin Oilfield, northern Iraq, Using Lineament Analysis and Hydrochemical Data by Faraj Ahmed Al-Sulaiman, Sameer Shaker Abbas Al Fahdawi, Sabbar Abdullah Saleh Al Qaisy

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EVALUATION OF THE EFFICIENCY OF TOCILIZUMAB THERAPY IN PATIENTS WITH RHEUMATOID ARTHRITIS BY ULTRASOUND AND X-RAY DATA by Rita Aleksandrovna Osipyants, D E Karateev, E Yu Panasyuk, G V Lukina, A V Smirnov, S I Glukhova, E N Aleksandrova, A V Volkov, E L Nasonov

“…Hand USG (Voluson-i GE, USA) with a 4—13-MHz linear probe using an energy Doppler (ED) was carried out before and 6 months after therapy. Structural changes were evaluated by hand and foot X-ray study (before and at 12-month follow-up) according to the Sharp method modified by van der Heide. …”
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Macromolecular crystallography from an industrial perspective – the impact of synchrotron radiation on structure-based drug discovery by H. Käck, T. Sjögren

Subjects: “…structure-based drug design…”
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Flowlogue: A Novel Framework for Synthetic Dialogue Generation With Structured Flow From Text Passages by Yongil Kim, Yerin Hwang, Hyunkyung Bae, Taegwan Kang, Kyomin Jung

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Quantitative analysis of EXAFS data sets using deep reinforcement learning by Eun-Suk Jeong, In-Hui Hwang, Sang-Wook Han

“…The deep RL method effectively determined the local structural properties of PtOx and Zn-O complexes by fitting a series of EXAFS data sets to theoretical EXAFS calculations without imposing specific constraints. …”
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GEODYNAMIC ACTIVITY OF MODERN STRUCTURES AND TECTONIC STRESS FIELDS IN NORTHEAST ASIA by L. P. Imaeva, G. S. Gusev, V. S. Imaev, S. V. Ashurkov, V. I. Melnikova, A. I. Seredkina

Subjects: “…parageneses of active structures…”
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Multi-View Cluster Structure Guided One-Class BLS-Autoencoder for Intrusion Detection by Qifan Yang, Yu-Ang Chen, Yifan Shi

“…Specifically, a multi-view co-association matrix optimization objective function with doubly-stochastic constraints is first designed to capture the cross-view cluster structure. Then, a multi-view cluster structure guided one-class BLS-autoencoder (MOCBLSAEs) is proposed, which learns the discriminative patterns of normal traffic data by preserving the cross-view clustering structure while minimizing the intra-view sample reconstruction errors, thereby enabling the identification of unknown intrusion data. …”
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Welding Image Data Augmentation Method Based on LRGAN Model by Ying Wang, Zhe Dai, Qiang Zhang, Zihao Han

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Accurate temperature dependence of structure factors of l-alanine and taurine for quantum crystallography by Mibuki Hayashi, Takashi Nishioka, Hidetaka Kasai, Eiji Nishibori

“…Multi-temperature high-quality structure factors of L-alanine and taurine were re-measured at the SPring-8 BL02B1 beamline for method development in quantum crystallography. …”
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Inventory of Shallow-Water Fouling Invertebrates of Long Island, New York by Ezra Roesch, Jack H. Rosencrans, Kent A. Hatch, Robert W. Thacker

Subjects: “…community structure…”
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scHiCSRS: a self-representation smoothing method with Gaussian mixture model for imputing single cell Hi-C data by Qing Xie, Wang Meng, Shili Lin

“…Results We propose scHiCSRS, a self-representation smoothing method that improves data quality, and a Gaussian mixture model that identifies structural zeros among observed zeros. scHiCSRS not only takes spatial dependencies of a scHi-C data matrix into account but also borrows information from similar single cells. …”
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Traversability Analysis and Path Planning for Autonomous Wheeled Vehicles on Rigid Terrains by Nan Wang, Xiang Li, Zhe Suo, Jiuchen Fan, Jixin Wang, Dongxuan Xie

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Global value chains, technological sophistication and economic complexity: panel data for 58 economies from 2006 to 2015 by Raul Costa Cavalcanti Manso, Camila do Carmo Hermida

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New Cure Rate Survival Models Generated by Poisson Distribution and Different Regression Structures with Applications to Cancer Data Set by Mahdy Esmailian, Reza Azimi, Diego I. Gallardo, Parviz Nasiri

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Decision model for determining the ownership structure of chemical park units, Integration of decision-making techniques and data envelopment analysis by Darush Mohamadi Zanjirani

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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions by Eungi Hwang, Jang Hyun Kim, Sangwan Kim, Garam Kim

“…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data by Vlasov Aleksandr

“…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

“…This study rigorously investigates cobalt chloride doped hydroxypropyl methylcellulose composite films, taking a significant step toward understanding structure property relations. The aim is to develop biodegradable yet conductive polymer composites by meticulously examining the effects of incorporating a metal salt like cobalt chloride. …”
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