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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A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

“…Atmospheric corrosion of maritime structures remains one of the most challenging issues facing offshore industry. …”
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Mapping the internal structures of fault zones of the sedimentary cover: a tectonophysical approach applied to interpret TDEM data (Kovykta gas condensate field) by K. Zh. Seminsky, I. V. Buddo, A. A. Bobrov, N. V. Misyurkeeva, Yu. P. Burzunova, A. S. Smirnov, I. A. Shelokhov

“…The article presents the results of studying the internal structures of platform fault zones with the use of a new tectonophysical approach to processing and interpretation of electrical exploration data obtained by the transient elec‐ tromagnetic method in the near field zone (TEM). …”
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Investigating Tropical Cyclone Warm Core and Boundary Layer Structures with Constellation Observing System for Meteorology, Ionosphere, and Climate 2 Radio Occultation Data by Xiaoxu Qi, Shengpeng Yang, Li He

“…An LSW less than 20% is set as a data QC threshold, and the warm core and PBL composite structures of TCs at three intensities in the Northwest Pacific Ocean are investigated. …”
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VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations by Mingyuan Li, Duan Wang, Erick Purwanto, Thomas Selig, Qing Zhang, Hai-Ning Liang

“…The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. …”
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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

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Aggregated Housing Price Predictions with No Information About Structural Attributes—Hedonic Models: Linear Regression and a Machine Learning Approach by Joanna Jaroszewicz, Hubert Horynek

“…A number of studies have shown that, in hedonic models, the structural attributes of real property have a greater influence on price than external attributes related to location and the immediate neighbourhood. …”
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Uncertainty quantification in tree structure and polynomial regression algorithms toward material indices prediction by Geng-Fu He, Pin Zhang, Zhen-Yu Yin

“…Despite the merits of flexible tree structure and formulable expression, random forest (RF) and evolutionary polynomial regression (EPR) cannot contribute to reliability-based design due to absent uncertainty quantification (UQ), thus hampering broader applications. …”
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The dynamics of sex-age structure of the population in urban and rural areas in the Republic of Kazakhstan in the years 1991-2013 by Nyussupova Gulnara, Kalimurzina Aisulu

“…In this article we discuss and analyse changes in the sex-age structure of both the urban and the rural population of the Republic of Kazakhstan since independence (1991) and until 2013. …”
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Coupling and Coordinated Development of Environmental Regulation and the Upgrading of Industrial Structure: Evidence from China’s 10 Major Urban Agglomerations by Xiaozhou Zheng, Renming Liu, Huiping Wang

Subjects: “…upgrading of industrial structure…”
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STRUCTURAL-COMPOSITIONAL MODEL OF THE NYURBINSKAYA KIMBERLITE PIPE FORMATION (SREDNE-MARKHA AREA OF THE YAKUTIAN DIAMONDIFEROUS PROVINCE) by A. S. Gladkov, D. A. Koshkarev, A. V. Cheremnykh, F. João, M. A. Karpenko, M. V. Marchuk, I. A. Potekhina

“…Analysis of different faults and tectonic fracturing allowed to reconstruct the tectonic stress fields acting at the stage of the kimberlite body formation and to determine their occurrence sequence in time. The data obtained about regularities of the Nyurbinskaya pipe compositional structure and results of geologo-structural studies are combined in a single structural-compositional model of the deposit formation. …”
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A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…To solve this problem, we propose the use of expert knowledge as a hard constraint and the structural prior gained via data learning as a soft constraint. …”
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Structure-function coupling as a correlate and potential biomarker of cognitive impairment in multiple sclerosis by Shanna D. Kulik, Ilse M. Nauta, Prejaas Tewarie, Ismail Koubiyr, Edwin van Dellen, Aurelie Ruet, Kim A. Meijer, Brigit A. de Jong, Cornelis J. Stam, Arjan Hillebrand, Jeroen J. G. Geurts, Linda Douw, Menno M. Schoonheim

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The GPR survey method in combination with destructive testing methods for the hydraulic structures technical condition studying by Suprun Veronika, Kovalenko Ivan, Ustinova Viktoriya

“…Further destruction of the concrete coating is inevitable, and therefore urgent repair and reinforcement of the structures are required. The data obtained will be used as a basis for conducting an examination necessary for operational monitoring of the SWIS and decision-making, when developing protective measures to strengthen the structures.…”
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A data-driven spatial-temporal model for prediction of tunnel deformation by Ziyi Zhang, Han Zhang, Cong Du, Mingzhao Wei, Xiaochao Wang, Jianqing Wu

Subjects: “…structural health monitoring…”
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Data Science in Order and Disorder of High-Entropy Materials by Jiasheng Wang, Jianzhong Jiang, Peter K. Liaw, Guihong Geng, Yong Zhang

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Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Younes Sadat-Nejad, Younes Sadat-Nejad, Marlee M. Vandewouw, Marlee M. Vandewouw, R. Cardy, J. Lerch, J. Lerch, J. Lerch, M. J. Taylor, M. J. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, J. A. Brian, E. Kelley, E. Kelley, E. Kelley, M. Ayub, J. Crosbie, J. Crosbie, R. Schachar, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, E. Anagnostou, A. Kushki, A. Kushki

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Research on computationally generative design of woven braced structure based on fiber composite material in architectural design industry by Peiqi Xu, Yiming Liu, Yafan Zhang, Nianxiong Liu

“…Based on this occurrence, this paper studies the development of a computational generative design system for woven braced structure composed of fiber-reinforced materials. Through experimental data of material performance, the research firstly argues feasibility of employing fiber composite materials to braced structure. …”
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Transformation of 3D Metal–Organic Frameworks into Nanosheets with Enhanced Memristive Behavior for Electronic Data Processing by Yuri A. Mezenov, Semyon V. Bachinin, Yuliya A. Kenzhebayeva, Anastasiia S. Efimova, Pavel V. Alekseevskiy, Daria Poloneeva, Anastasia Lubimova, Svyatoslav A. Povarov, Vladimir Shirobokov, Mikhail S. Dunaevskiy, Aleksandra S. Falchevskaya, Andrei S. Potapov, Alexander Novikov, Artem A. Selyutin, Pascal Boulet, Alena N. Kulakova, Valentin A. Milichko

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Efficacy of golimumab in the treatment of patients with ankylosing spondylitis (according to the data of a long-term follow-up) by A. V. Smirnov, T. V. Dubinina, Sh. F. Erdes

“…Further studies are to determine whether there is an association between the presence of syndesmophytes and elevated CRP levels and whether they have a combined effect on X-ray progression, and if so, whether the development of structural changes may be prevented with TNF-р inhibitors to be used at the earlier stages of the disease.…”
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