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The Nature of Global Income Inequality and Its Determinants
Published 2024-10-01“…Filter model and also framed a forecast model for 2050 using the ARIMA (1,1,1) model using data on the income share of the top 10% and bottom 50% from the World Inequality Database. …”
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Competing in the Global LED Industry: The Case of Taiwan
Published 2014-01-01“…The revenue of the Taiwan LED components industry is ranked top one in the world, followed by that of Japan and South Korea. …”
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Hardesign vs Softdesign
Published 2019-06-01“…Hard is the top-down process and Soft is the bottom-up process that values social innovation. …”
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Relationship between GDP and Productivity of G7 and BRICS countries in solid waste management research literature
Published 2025-01-01“…To examine this statement, the plain text files are exported to the software Bibexcel and MS Excel to determine the growth productivity of G7 and BRICS countries in SWM research, and scientometrics indicators such as activity index, relative specialization index are exploited to analyze the performance of the countries Mapping and visualization software like VOS viewer were utilized to identify the impact and contribution of top organizations. To analyze GDP and GDP per capita, the World Bank report has been involved. …”
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Universities in the Conditions of Change: Request for Social Innovation
Published 2020-10-01“…The author analyzes the scientific literature and strategic documents of universities, the leaders in the international ratings of Times Higher Education World University (THE) and QS World University Rankings (QS), as well as development strategies of the top Russian universities – participants of the 5-100 program. …”
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Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system
Published 2017-06-01“…The theoretical analysis and experimental results demonstrate that the proposed wireless sensor networks topology optimization model possesses both the small-world effect and the scale-free property, which can contribute to extend the lifetime of wireless sensor networks with energy efficiency and improve the robustness of wireless sensor networks with structure invulnerability.…”
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Spatial-Temporal Analysis of Particulate Matter (PM10) and Sulphur Dioxide (SO2) Concentrations in Ankara Using Climate Parameters
Published 2025-01-01“…When evaluating the performance of the prediction models for PM10 and SO2 concentrations, it is found that the PM10 model explains 66% and the SO2 model explains 78% of the variance. …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy
Published 2025-01-01“…Eye Movement Desensitization and Reprocessing (EMDR) was recognized by the World Health Organization in 2013 as an evidence-based therapy for post-traumatic stress disorder (PTSD) and found to be effective for depression. …”
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COVID-19 Diagnosis from Blood Gas Using Multivariate Linear Regression
Published 2024-03-01“…Issues such as methods developed to understand the spread mechanisms of the disease, prevention measures, vaccine and drug research are among the top priorities of the world agenda. The accuracy of the tests applied in the outbreak management has become extremely critical. …”
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Cerebrovascular ageing: how zebrafish can contribute to solving the puzzle
Published 2025-02-01“…The mean life expectancy continues to increase world-wide. However, this extended lifespan trend is not accompanied by health span, or years of healthy life. …”
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Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation
Published 2024-11-01“…Experimental results on two real-world datasets demonstrate that LSGCNT achieves superior recommendation performance compared with eight other state-of-the-art recommendation models.…”
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From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults
Published 2025-01-01“…Models based on the top 10 PA features common to both datasets, along with demographic features, achieved AUCs above 0.8. …”
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Machine Learning-Based Diabetes Risk Prediction Using Associated Behavioral Features
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