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Discovering Object Stories: Linking Unstructured Museum Data Through Semantic Annotation
Published 2025-01-01“…The study focuses on a sample dataset from National Museums Scotland, which includes metadata about navigational instruments from the 19th and early 20th centuries. …”
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Comprehensive analysis of cuproptosis-related genes in immune infiltration and development of a novel diagnostic model for acute kidney injury
Published 2024-12-01“…The ROC curve, based on these six genes, demonstrated an AUC value of 0.917, which was further validated using an additional dataset with an AUC value of 0.902. Nomogram and DCA further confirmed the accuracy of the model in predicting the risk of AKI.Conclusion This study elucidated the role of cuproptosis in AKI and revealed the association between CRGs and infiltrated immune cells through comprehensive bioinformatic techniques. …”
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Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota
Published 2021-01-01Get full text
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Enhancing breast cancer prediction through stacking ensemble and deep learning integration
Published 2025-02-01“…The aim of this study is to evaluate the integration of ensemble models and deep learning models using stacking ensemble techniques on the Breast Cancer Wisconsin (Diagnostic) dataset and to enhance breast cancer diagnosis through this methodology. …”
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4388
Experiences of gender-based violence among women in sub-Saharan Africa: identifying evidence for intervention and public health priorities
Published 2025-02-01“…This paper explored GBV among women in 25 sub-Saharan African (SSA) countries to identify and present key intervention priority areas for addressing GBV in these settings.MethodsThe study involved a cross-sectional analysis of a nationally representative dataset from the Demographic and Health Survey of 25 SSA African countries. …”
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4389
A Data-Driven Approach to Improve Cocoa Crop Establishment in Colombia: Insights and Agricultural Practice Recommendations from an Ensemble Machine Learning Model
Published 2024-12-01“…Despite challenges such as limited dataset resolution and localized climate variability, this research provides valuable insights for a more comprehensive understanding of the environmental conditions impacting cocoa plantation establishment in a given location. …”
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Research on Design Indicators for Graded Crushed Stone Mixture Based on Vibration Molding Method
Published 2020-01-01Get full text
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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method
Published 2025-01-01“…In this method, the multi-source data contain datasets based on the components and targets (DPP-4 and GLP-1). …”
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Competitiveness of Russian Universities in the Global System of Higher Education: Quantitative Analysis
Published 2020-03-01“…We proposed four working hypotheses. (1) The positions of Russian universities in the international QS ranking are different for metropolitan and regional universities. (2) The positions of Russian universities in the international QS ranking depend on the status of universities. (3) The positions of Russian universities in the international QS ranking differ depending on the participation of universities in the Russian Academic Excellence Project “5-100”. (4) The positions of Russian universities in the international QS ranking are different depending on the level of annual university income. We obtained dataset for the study from the analytical materials of the British consulting company QS, as well as information and analytical materials from the results of monitoring the effectiveness of educational institutions of higher education in the Russian Federation.Conclusions. …”
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Multimodal Adaptive Identity-Recognition Algorithm Fused with Gait Perception
Published 2021-12-01“…First, in combination with the collected gait information of individuals from triaxial accelerometers on smartphones, the collected information is preprocessed, and multimodal fusion is used with the existing standard datasets to yield a multimodal synthetic dataset; then, with the multimodal characteristics of the collected biological gait information, a Convolutional Neural Network based Gait Recognition (CNN-GR) model and the related scheme for the multimodal features are developed; at last, regarding the proposed CNN-GR model and scheme, a unimodal gait feature identity single-gait feature identification algorithm and a multimodal gait feature fusion identity multimodal gait information algorithm are proposed. …”
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Immunocompromised Children with Severe Adenoviral Respiratory Infection
Published 2016-01-01Get full text
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Properties of the new N $$ \mathcal{N} $$ = 1 AdS4 vacuum of maximal supergravity
Published 2020-01-01Get full text
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Precision of Fit of Titanium and Cast Implant Frameworks Using a New Matching Formula
Published 2012-01-01Get full text
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