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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization
Published 2025-07-01“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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263
Gliclazide MR in the structure of antihyperglycemic therapy according to the data of Moscow region diabetes register
Published 2022-05-01“…This requires clarification.Aim: To examine Moscow Region DM register data for assessing ongoing antihyperglycemic therapy and its correspondence to current local and international T2DM treatment recommendations, as well as actual clinical recommendations for the treatment of T2DM patients and COVID-19.Materials and methods: The structure of glucose-lowering therapy with non-insulin drugs (NID) was studied in T2DM patients according to the data T2DM register of Moscow region. …”
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DEVELOPMENT OF CLUSTER INTEGRATION WITH VARIAN BASED STRUCTURAL EQUATION MODELING TO MANAGE HETEROGENEOUS DATA
Published 2025-04-01“…This data is heterogeneous. When SEM is applied to heterogeneous data, there will be a risk of bias in estimating equations in the measurement and structural models because there are differences between groups in the data. …”
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Determination of the structure of the earth's crust by changing the velocity of seismic waves from the earthquake data
Published 2021-01-01“…Objective. A study of the structure of the earth's crust by determining the velocities of seismic waves from previously broken sections of the earth's crust.Methods. …”
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Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory
Published 2022-01-01“…The first three order modes data of each index are fused in the first level, and their results are further fused between indexes in the second level, which will be applied for damage position judgement; moreover, results of the second level as input are last fused in the third level in order to predict structural damage degree. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring
Published 2023-03-01“…Structural Health Monitoring requires the continuous assessment of a structure’s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. …”
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Atypical structural tendencies among low-complexity domains in the Protein Data Bank proteome.
Published 2020-01-01“…A variety of studies have suggested that low-complexity domains (LCDs) tend to be intrinsically disordered and are relatively rare within structured proteins in the Protein Data Bank (PDB). …”
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Stock market trading via actor-critic reinforcement learning and adaptable data structure
Published 2025-02-01Subjects: Get full text
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270
Comparison of sequence- and structure-based antibody clustering approaches on simulated repertoire sequencing data.
Published 2025-05-01“…A comprehensive comparison of the benefits and limitations of structure-based tools on realistic and diverse repertoire data is missing. …”
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Evaluation indexes quality, cost and time at Lightweight steel structures (case study:LSF structures in yazd city)
Published 2017-05-01“…Than it can be a kind stable investment or in the other hand the structure of a city and goal' s of functional management are really important.Than necessity of industrial structure is because of prominent features for instance : quality booting, reduction of cost and time are more necessary than before.LSF Structure got more fashionable, just because of side benefits.Use of C is getting more in Yazd.In this research shows the Evaluation of some Indicators, quality, cost, time.About LSF Structure in Yazd: at first the structure system is will be a paraphrased.Then by some question notes , we gather specialist's idea end opinion. …”
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Modal Parameters Estimation of Building Structures from Vibration Test Data Using Observability Measurement
Published 2015-01-01“…The numerical simulation is performed to evaluate the proposed procedure, and the results show that the modal participation factor and mode shapes are estimated from the structural responses accurately. The procedure is also applied to the experimental data obtained from the shaking table test of a three-story shear building model.…”
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Delineation of mineralization-related geologic structures and lithological units using airborne magnetic and radiometric data
Published 2024-11-01Subjects: “…Geologic structures…”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network
Published 2024-11-01“…In this study, we introduce a multiple‐condition fusion network (MCF‐Net) to characterize subsurface structures based on both hard and soft data. To harness the full potential of multiple‐source subsurface observations, two distinct neural networks extract implicit features from hard and soft data. …”
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The intraorganic architecture of musculoskeletal structures in maxillofacial area of children according to x-ray diagnostics data
Published 2020-04-01“…The combined use of the methods of teleradiography, computer and magnetic resonance imaging to study the structure of bone structures of MFA on the same object provides information that significantly reinforce the concept of morpho-functional unity of all structural components of the facial part of the head.…”
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A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures
Published 2023-10-01“…Based on this idea, a method for compressing event log data based on combinatorial generation using AND/OR tree structures is proposed. …”
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Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas
Published 2025-02-01“…The geological structure in the Red River fault zone (RRF) and adjacent areas is complex. …”
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Tensor‐structured decomposition improves systems serology analysis
Published 2021-09-01“…Here, we report that coupled matrix–tensor factorization (CMTF) can reduce these data into consistent patterns by recognizing the intrinsic structure of these data. …”
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