Lightweight dynamic model for fusion of three-dimensional surface-stratum underground structures. by Cuiying Zhou, Yusen Zhong, Ziyu Tao, Chunhui Lan, Wei Hu, Zhen Liu

“…However, the heterogeneity of surface, stratigraphic and structural data sources and modeling methods leads to incompatibility of model attributes. …”
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Advancing dynamic quantum crystallography: enhanced models for accurate structures and thermodynamic properties by Helena Butkiewicz, Michał Chodkiewicz, Anders Ø. Madsen, Anna A. Hoser

“…X-ray diffraction (XRD) has evolved significantly since its inception, becoming a crucial tool for material structure characterization. Advancements in theory, experimental techniques, diffractometers and detection technology have led to the acquisition of highly accurate diffraction patterns, surpassing previous expectations. …”
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Research on Structure and Characteristics of Gear System of Crossflow in Flow Domain of Reactor Core by CHEN Guangliang, ZHANG Hanqi, TAO Wenquan

“…However, in traditional research, the states of flow resistance, thermal resistance, flow mixing and other states are measured by the macroscopic integration of lines, surfaces and volumes, and the fine data of tens of millions or hundreds of millions of computing grids are mostly converted into hundreds or thousands of sets of average data, the physical state is reduced from three-dimensional to two-dimensional or one-dimensional state, and the spatial resolution is reduced from submillimeter to decimeter or lower, and the fine data cannot be effectively and fully utilized. …”

Analysis and selection of the structure of a multiprocessor computing system according to the performance criterion by G. V. Petushkov, A. S. Sigov

“…Analysis of the various architectures of computing systems (CSs) used in recent decades has allowed us to identify the most common structures. One of the key features is the use of mass-produced equipment to create data processing subsystems (for example, multicore processors and high-capacity semiconductor memory), as well as network equipment to build communication subsystems. …”
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Limitations of risk-based artificial intelligence regulation: a structuration theory approach by Lily Ballot Jones, Julia Thornton, Daswin De Silva

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The Effect of Gain and Strong Dissipative Structures on Nonlinear Schrödinger Equations in Optical Fiber by Xintong Yuan, Chunhua Li

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On the Variability of Neural Network Classification Measures in the Protein Secondary Structure Prediction Problem by Eric Sakk, Ayanna Alexander

“…In this context, neural network mappings are constructed between protein training set sequences and their assigned structure classes in order to analyze the class membership of test data and associated measures of significance. …”
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Exploring the evolution of novel enzyme functions within structurally defined protein superfamilies. by Nicholas Furnham, Ian Sillitoe, Gemma L Holliday, Alison L Cuff, Roman A Laskowski, Christine A Orengo, Janet M Thornton

“…In order to understand the evolution of enzyme reactions and to gain an overview of biological catalysis we have combined sequence and structural data to generate phylogenetic trees in an analysis of 276 structurally defined enzyme superfamilies, and used these to study how enzyme functions have evolved. …”
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HERGAI: an artificial intelligence tool for structure-based prediction of hERG inhibitors by Viet-Khoa Tran-Nguyen, Ulrick Fineddie Randriharimanamizara, Olivier Taboureau

“…This model, named “HERGAI,” along with relevant input/output data and user-friendly source code, is available in our GitHub repository ( https://github.com/vktrannguyen/HERGAI ) and can be used to predict drug-induced hERG blockade, even on large data sets.…”
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Damage identification of structures using experimental modal analysis and continuous wavelet transform by A. Gholizad, H. Safari

“…The mode shapes are obtained from EMA by applying FRF of structure as the input data. In the present work, a two-stage method of determining the location of multiple structural damages on space structures is proposed. …”
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The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime by Brian C. Brown, Aimee H. Fullerton, Darin Kopp, Flavia Tromboni, Arial J. Shogren, J. Angus Webb, Claire Ruffing, Matthew Heaton, Lenka Kuglerová, Daniel C. Allen, Lillian McGill, Jay P. Zarnetske, Matt R. Whiles, Jeremy B. Jones Jr., Benjamin W. Abbott

“…Across all these methods, the flow data showed low‐dimensional structure (i.e., simple and consistent patterns), suggesting that fundamental mechanisms are constraining flow regime. …”
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STRUCTURE OF PERIODONTAL TISSUE DISEASES IN WORKERS OF AGRICULTURAL PRODUCTION IN THE OPEN AND COVERED SOIL by V.T. Dyryk

“…Thus, as a result of the analysis of structure of periodontal disease depending on experience, in working in the conditions of contact with pesticides, on the closed soil investigated: • it is lower frequency of occurrence of intact periodontium all analtube intervals than in working of open soil and not contacting with pesticides; • it is lower frequency of occurrence of the initial forms of the inflammation of periodontal tissues (2,2 times) relatively to the obtained data in persons of the main group and the comparison group (1.3 times); • it is lower the incidence of primary generalized forms of periodontitis in relation to data of the comparison group (1.4 times) for the same number examined, compared with the values of the core group; • large frequency of occurrence of advanced forms of generalized periodontitis: in 1.6 times more than obtained data in the main group and in 3.3 times more than obtained data in the comparison group. …”
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THE PARAMETER ANALYSIS OF CUBICAL STRUCTURED CADMIUM TELLURIDE (CdTe) SEMICONDUCTOR MATERIALS by Sinta Puspita Apriliani, Susi Susilawati, Koharudin Koharudin, Sarah Nabilah, Dwi Lestariningsih, Witri Desmulyani, Anis Munir Rukyati, Muhammad Fikri Fakhrurozi, Stefiana Sondary Az Zahrah, Irmansyah Irmansyah, Irzaman Irzaman

“…Cadmium telluride (CdTe) semiconductor materials will be used to analyze the energy gap, lattice parameters, and error value of these cubical structured crystal materials. The data that we used to be analyzed is using data from the International Center for Diffraction Data (ICDD) that used the X-ray Diffraction (XRD) method. …”
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Improved detection algorithm for rail profile wear based on line structured light by LIU Zhengfeng, CHEN Jianzheng, LI Wei

“…However, during the operation of track inspection vehicles, the profile data collected by the rail profile wear detection system based on linear structured light is often disrupted by noise from various outliers, leading to significant geometric variations in the rail profile calculation results. …”
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Bayesian Structure Learning and Sampling of Bayesian Networks with the R Package BiDAG by Polina Suter, Jack Kuipers, Giusi Moffa, Niko Beerenwinkel

“…The package includes tools to search for a maximum a posteriori (MAP) graph and to sample graphs from the posterior distribution given the data. A new hybrid approach to structure learning enables inference in large graphs. …”
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Networked Microgrid Energy Management Considering Ownership and Control Structures: A Comparison by Guodong Liu, Michael Starke

“…To solve this issue, a complete comparison of networked microgrid energy management under centralized, distributed and decentralized structures are performed. As a novel contribution, the required minimum data exchange of networked microgrid energy management under three control structures are identified, respectively. …”
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ANALYSIS OF SUPPLY STRUCTURE AND TRENDS OF FORMAL FUNDING OF AGRICULTURE IN NIGERIA (1992-2012) by Sylvanus Ibeabuchi OGBONNA, Charles Kelechi OSONDU

“…This study analyzed supply structure and trends of formal funding of agriculture in Nigeria. …”
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Factor structure of Pre‐Loss Grief‐12 in caregivers of people living with dementia by Juyoung Park, Hannah Levine, James E. Galvin

“…Confirmatory factor analysis (CFA) was performed to test the fit of the data from the caregivers and to assess the factor structure of the PG‐12 in order to evaluate pre‐loss grief accurately by identifying relevant items and eliminating items that are not appropriate for caregivers of persons with dementia. …”
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Investigating Knee Alignment and Foot Structure in Futsal Players with and without Hamstring Shortness by Homan Minoonejad, Reza Manteghi, Ehsan Tasoujian, Hossein Amiri

“…Objective: The purpose of this study was to investigate knee alignment and foot structure in futsal players with and without hamstring shortness. …”
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Multibody Nonrigid Structure from Motion Segmentation Based on Sparse Subspace Clustering by Wenqing Huang, Qingfeng Hu, Yaming Wang, Mingfeng Jiang

“…However, affine matrix learning is not very effective for segmenting multibody nonrigid structure from motion. To improve the segmentation performance and efficiency of the SSC algorithm in segmenting multiple nonrigid motions, we propose an algorithm that deploys the hierarchical clustering to discover the inner connection of data and represents the entire sequence using some of trajectories (in this paper, we refer to these trajectories as the set of anchor trajectories). …”
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