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Analysis of rating methods for assessing the scientific and technological development of the Federal districts of the Russian Federation
Published 2023-12-01“…The research is based on materials and data from the ratings of scientific and technological development of regions - the Index of Scientific and Technological Development of the rating agency RIA Rating, the National Rating of Scientific and Technological Development of subjects of the Russian Federation of the Ministry of Education and Science of the Russian Federation and the Rating of Scientific and technological development of subjects of the Russian Federation of the Institute of Economics of the Russian Academy of Sciences.Results: the authors propose the algorithm for researching the scientific and technical development of regions, according to which, first of all, the relevant methodological approaches and assessment methods presented in the scientific literature are analyzed. …”
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17963
An enhanced deep learning-based feature extraction framework for moving object detection
Published 2025-07-01Get full text
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17964
EVOLUTION OF TREATMENT OF CANCER OF THE MAJOR DUODENAL PAPILLA
Published 2021-03-01Get full text
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17965
Minimum carbon dioxide is a key predictor of the respiratory health of pigs in climate-controlled housing systems
Published 2024-12-01“…Two-sample tests were performed to compare the means of the groups, and a random forest algorithm was used to identify the importance scores of the environmental variables to respiratory health. …”
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17966
Physics-Informed Neural Networks: A Review of Methodological Evolution, Theoretical Foundations, and Interdisciplinary Frontiers Toward Next-Generation Scientific Computing
Published 2025-07-01“…The contributions include threefold: First, identifying the co-evolutionary path of algorithmic architectures from adaptive optimization (neural tangent kernel-guided weighting achieving 230% convergence acceleration in Navier-Stokes solutions) to hybrid numerical-deep learning integration (5× speedup via domain decomposition) and second, constructing bidirectional theory-application mappings where convergence analysis (operator approximation theory) and generalization guarantees (Bayesian-physical hybrid frameworks) directly inform engineering implementations, as validated by <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>72</mn><mo>%</mo></mrow></semantics></math></inline-formula> cost reduction compared to FEM in high-dimensional spaces (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.01</mn><mo>,</mo><mi>n</mi><mo>=</mo><mn>15</mn></mrow></semantics></math></inline-formula> benchmarks). …”
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17967
4-D ERT monitoring of oil spill contamination dynamics and remediation planning in southern Nigeria
Published 2025-02-01“…A time-dependent evaluation of 3-D ERT models showed a reduction in the apparent resistivity of the contaminant plume during the rainy season compared to the dry season. …”
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17968
Development and retrospective validation of an artificial intelligence system for diagnostic assessment of prostate biopsies: study protocol
Published 2025-07-01“…Digital pathology and artificial intelligence (AI) algorithms for analysing whole slide images show promise in improving the accuracy and efficiency of histopathological assessments. …”
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17969
Arctic Sea Ice Surface Temperature Retrieval from FengYun-3A MERSI-I Data
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17970
STRATEGICITY AS A BASIC PRINCIPLE OF PROFESSIONAL AND PEDAGOGICAL ACTIVITY
Published 2020-12-01“…It was found that strategies for solving professional problems within pedagogical activities are divided into algorithmic and heuristic. The algorithmic strategy is based on a certain algorithm as a set of rules that provide a single correct solution. …”
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Komparasi Data Mining Naive Bayes dan Neural Network memprediksi Masa Studi Mahasiswa S1
Published 2020-05-01“…By using the data mining algorithm Naive bayes and neural network, the student graduation in STMIK Widya Cipta Dharma (WiCiDa) can be predicted. …”
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Impact of the China's new energy market on carbon price fluctuation risk: Evidence from seven pilot carbon markets
Published 2025-05-01“…Moreover, to address subjectivity in variable selection and overfitting issues in carbon price determinants, the LASSO algorithm is integrated with the multivariate GARCH model. …”
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17974
Spectral analysis of rotor current of induction motor as indicator of its effectiveness
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Results of external quality control study in flow cytometric acute lymphoblastic leukemia diagnostics
Published 2016-10-01Get full text
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17976
Reconstructed dose and geometric coverage for tight margins using intrafraction re-planning on an integrated magnetic resonance imaging and linear accelerator system for prostate c...
Published 2025-04-01“…Background and purpose: A sub-fractionation workflow enables a substantial reduction in planning target volume (PTV) margin in prostate cancer (PCa) patients by reducing systematic motion during magnetic resonance (MR)-guided radiotherapy. …”
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17977
Land Cover Transformations in Mining-Influenced Areas Using PlanetScope Imagery, Spectral Indices, and Machine Learning: A Case Study in the Hinterlands de Pernambuco, Brazil
Published 2025-02-01“…As a result, a 3.28% reduction in vegetated areas and a 6.62% increase in urban areas were identified over five years, suggesting landscape transformation, possibly influenced by the expansion of mining and development activities. …”
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Geometric modeling of the process of digging trench pits during pipeline repair
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17979
Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality
Published 2024-06-01“…We proposed a sequence of machine learning stages: feature scaling, missing data imputation, reduction of data dimensionality via Kernel Principal Component Analysis (KPCA), and clustering with the k-means algorithm. …”
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17980
Simultaneous multislice cardiac multimapping based on locally low-rank and sparsity constraints
Published 2024-01-01“…To mitigate image artifacts and noise caused by the ill-conditioning, a reconstruction algorithm based on locally low-rank and sparsity (LLRS) constraints was developed. …”
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