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1001
BLOCK STRUCTURE OF THE SOUTHERN KURAI BASIN OF GORNY ALTAI ACCORDING TO GEOELECTRIC DATA COMPARED TO THE DISTRIBUTION OF EARTHQUAKE EPICENTERS
Published 2019-03-01“…In our study of the Southwestern trough, it is established that most of the earthquakes concentrated in active fault structures separating the blocks of varying depths, which are identified from the geoelectric data. …”
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1002
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1003
Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data.
Published 2021-01-01“…We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. …”
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1004
Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure
Published 2025-03-01Subjects: “…Complex network topology structure…”
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1005
New data on the structure and motion of the ice sheet in the area of a runway of the Novolazarevskaya Reserch Station (East Antarctica)
Published 2024-12-01“…The central part of the runway appears to be the most complex in structure, demonstrating relatively high deformations in the marginal parts and characterized by large vertical structures in the glacier. …”
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1006
Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education
Published 2025-06-01“…Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. …”
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1007
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1008
Local structure of solid and liquid gold probed by reverse Monte Carlo analysis of X-ray absorption data
Published 2025-03-01“…The increase in computational capabilities of modern computers has allowed us to develop new accurate methods for EXAFS (extended X-ray absorption fine structure) data-analysis. In particular, the RMC-GNXAS package provides models of the three-dimensional structure applying the reverse Monte Carlo (RMC) method to EXAFS of condensed or molecular systems. …”
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1009
Leveraging LLMs for optimised feature selection and embedding in structured data: A case study on graduate employment classification
Published 2025-06-01“…The primary objective is to determine whether converting structured data into text format improves model accuracy. …”
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1010
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1011
Data of vegetation structure metrics retrieved from airborne laser scanning surveys for European demonstration sitesZenodo
Published 2025-06-01“…A total of 35 LiDAR metrics were calculated, of which 28 represent vegetation structural attributes. These include vegetation height (seven metrics), vegetation cover (fourteen metrics), and vegetation vertical variability (seven metrics). …”
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1012
Structuring data analysis projects in the Open Science era with Kerblam! [version 1; peer review: 2 approved]
Published 2025-01-01“…Background Structuring data analysis projects, that is, defining the layout of files and folders needed to analyze data using existing tools and novel code, largely follows personal preferences. …”
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1013
Enhancing Standardized and Structured Recording by Elderly Care Physicians for Reusing Electronic Health Record Data: Interview Study
Published 2024-12-01“…The findings will be used to formulate recommendations aimed at enhancing standardized and structured data recording for the reuse of EHR data. …”
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1014
Debiasing Structure Function Estimates from Sparse Time Series of the Solar Wind: A Data-driven Approach
Published 2025-01-01“…Structure functions (SFs), which quantify the moments of increments of a stochastic process, are essential complementary statistics to power spectra for analyzing the self-similar behavior of a time series. …”
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1015
Grain Protein Function Prediction Based on CNN and Residual Attention Mechanism with AlphaFold2 Structure Data
Published 2025-02-01“…The experimental results indicate that secondary structure and spatial structure information contribute to improving model performance. …”
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1016
MonteCarloSEM: An R Package to Simulate Data for SEM
Published 2021-09-01Subjects: Get full text
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1017
On a data model associated with antitrust behaviors
Published 2024-12-01Subjects: “…data analysis…”
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1018
DETERMINANTS OF STRUCTURAL DIMENSION OF DAILY BEHAVIOUR IN A TRADITIONAL AFRICAN CITY: A CASE STUDY OF ILORIN, NIGERIA
Published 2013-10-01“…The study also shows clearly that the temporal structure of activity in Ilorin is different from what obtains in Western cities where there is flexibility in the usage of time. …”
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1019
Modeling of Regional Development Using a Structural Approach: Principles, Tools and Experience of Their Application
Published 2019-09-01“…To solve the priority task of the Russian Federation to ensure the effective socio-economic and sustainable development of the regions, it is necessary to carry out an adequate structural policy, the main purpose of which is to form a rational and balanced structure of the economy that can ensure the effective development of the region’s economy. …”
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1020
Multi-stage hashing network storage structure for intelligent routing
Published 2020-10-01“…Network data collection and storage are fundamental for intelligent routing control,providing massive flow data for model training and decision-making.However,as the key device in network storage system,switches have very limited memory size and design flexibility,which can’t satisfy the needs of intelligent routing control for comprehensive high-precision data and lightweight storage system,thus reducing the effectiveness of intelligent routing control.A multi-stage hashing network storage structure (MHNSS) was proposed for intelligent routing control,which fully utilized the limited memory resource of switch and completed network data storage with low collision rate.The number of candidate buckets of the flow key was augmented by multi-stage hash table,thus reducing collision rate and improving memory load ratio.Hash collision was resolved via coarse-grained timestamp LRU algorithm,which always stored most recently used data and cleared least recently used data to avoid subsequent collisions as far as possible.Trace-driven experiments showed that compared with widely used single hash table,MHNSS had significant performance advantage in collision rate and load ratio.…”
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