CONVERGENCE IN CORPORATE GOVERNANCE: THE CASE OF CHINA AND INDIA by A. Majumdar

“…China and India face similar challenges in maintaining their aggressive rates of economic growth. While both countries attained economic independence in the late 1940s, each followed a different path in terms of growth. …”
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Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training by Joseph A. Kilgore, Jeffrey D. Kopsick, Giorgio A. Ascoli, Gina C. Adam

“…In this work, we identify several key factors, such as low initial firing rates and diverse inhibitory spiking patterns, that determine the overall ability to train in the context of spiking networks with various ratios of excitatory to inhibitory neurons. …”
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Racial Identity and Student Satisfaction: Analyzing Black College-Student Experiences Through Social Media Expression by Kameron Drumright

“…These findings suggest consistent patterns and differences in racial identity navigation across institutions. …”
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Economic convergence of Balkan regions towards EU by María A. González-Álvarez, Antonio Montañés, Esther Ruiz, Skender Uku

“…We also categorize groups of economies sharing similar divergence patterns. Additionally, among the regions that converge, convergence rates vary, with some regions progressing faster (Bulgaria, Montenegro and North Macedonia). …”
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Smart Cities and Affective-Symbolic Urbanism: A Dual Tourist/Resident Perspective by Nikolaos Iason Koufodontis, Eleni Gaki, Stella Zounta

“…Drawing on a new conceptual framework of affective-symbolic engagement, it explores not only adoption patterns but also users’ emotional responses and perceived inclusion. …”
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Anhedonia: Current and future treatments by Alessandro Serretti

“…Abstract Anhedonia is a transdiagnostic domain that leads to poor disorder outcome and low remission rates. This narrative review describes a broad range of interventions targeting anhedonia, including pharmacological, neuromodulatory, behavioral, and lifestyle‐based approaches. …”
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Advanced cloud intrusion detection framework using graph based features transformers and contrastive learning by Vijay Govindarajan, Junaid Hussain Muzamal

“…The model achieves low false-positive rates and demonstrates real-time inference performance with modest resource requirements. …”
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Integrating AI-generated content tools in higher education: a comparative analysis of interdisciplinary learning outcomes by Zhang Yan, Tang Qianjun

“…Using a mixed-methods approach, we analyzed implementation patterns and learning outcomes across humanities, STEM, and social sciences programs at multiple institutions. …”
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Quantitative Assessment of Regional Carbon Neutrality Policy Synergies Based on Deep Learning by Daiyang Zhang, Enmiao Feng

“…The deep learning model achieves robust prediction accuracy across diverse scenarios, with sensitivity analysis revealing technology learning rates as the most significant parameter influencing predictions (±24.3%). …”
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The influence of crosslink characteristics on key properties of dynamically cured NR/PP blends by Charoen Nakason, Chanida Manleh, Natinee Lopattananon, Azizon Kaesaman

“…Curing systems caused crosslinking rates, reversion, and crosslink density and distribution variations. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. …”
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Memory-augment graph transformer based unsupervised detection model for identifying performance anomalies in highly-dynamic cloud environments by Huangyining Gao, Ruyue Xin, Peng Chen, Xi Li, Ning Lu, Peng You

“…Additionally, we introduce a novel dynamic gated memory module to guide the Transformer encoder in extracting hidden features, thereby enhancing the model’s robustness to varying data patterns in dynamic cloud environments. …”
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Extreme heat and pediatric health in a warming world: a space-time stratified case-crossover investigation in Ontario, Canada by Hallah Kassem, Eric Lavigne, Kate Weinberger, Michael Brauer

“…Conclusions In Ontario, EHEs decreased the rates of pediatric emergency healthcare utilization for injuries and increased the rates of respiratory illnesses, asthma, heat-related illnesses, heatstroke, dehydration, infectious and parasitic diseases, lower respiratory infections, and enteritis. …”
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SARS-CoV-2 Alchemy: Understanding the dynamics of age, vaccination, and geography in the evolution of SARS-CoV-2 in India. by Mansi Patel, Uzma Shamim, Umang Umang, Rajesh Pandey, Jitendra Narayan

“…Geographic analysis emphasizes notable regional variation in substitution rates, potentially driven by population density and local transmission dynamics, while regions with more homogeneous strain circulation show relatively lower substitution rates. …”
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Inequities in mortality and potential years of life lost (PYLL) in greater Santiago, Chile, during and after the COVID-19 pandemic by Claudio Vargas, Paola Salas, Felipe Elorrieta, Valentina Muñoz, Erika Vivanco, Matilde Maddaleno

“…Abstract Introduction In Chile and worldwide, disparities in age-adjusted mortality rates and Potential Years of Life Lost (PYLL) intensified during the initial two years of the COVID-19 pandemic, with low- and middle-income countries experiencing a disproportionate burden. …”
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques by S. Vijayalakshmi, Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

“…Abstract Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical features and deep learning techniques. …”
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Censoring Sensitivity Analysis for Benchmarking Survival Machine Learning Methods by János Báskay, Tamás Mezei, Péter Banczerowski, Anna Horváth, Tamás Joó, Péter Pollner

“…The framework systematically reduced observation periods and increased censoring rates while measuring performance through multiple metrics following Bayesian hyperparameter optimization. (3) Results: Model performance showed greater sensitivity to increased censoring rates than to reduced observation periods. …”
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Socioeconomic and locational disparities in primary education completion in Burkina Faso by Lazarus Obed Livingstone Banda

“…Design/methodology/approach – Using a quantitative, non-experimental approach, the study analyzes nationally representative secondary data using hierarchical linear modeling, binary logistic regression and propensity score matching (PSM) to assess correlational patterns in completion rates. Findings – The results indicate significant regional and urban-rural disparities in completion rates, with urban students showing markedly higher odds of completing primary education than their rural peers. …”
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Patient Adherence for Oral Combination Therapies in Diabetes Management: A Scoping Review by Maryam Zarrinkamar, Mojgan Geran, Mohammad Geran

“…Dual therapy regimens demonstrated adherence rates ranging from 49% to 80.8%, while FDC therapies showed adherence rates ranging from 60.3% to 98.9%. …”
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The major risk factor of stroke across Indonesia; a nationwide geospatial analysis of universal health coverage program by Andi Alfian Zainuddin, Rais Reskiawan A. Kadir, Hedi Kuswanto, Jumraini Tammasse, Nurul Qalby, Andi Afdal Abdullah, Ari Andini Junaidi, Al Asyary

“…Methods The data were collected from the Social Health Insurance Administration Body, which manages Indonesia’s universal health coverage, between 2017 and 2022. Crude incidence rates for the diseases were calculated and spatial distribution patterns were analyzed using Global and local Moran analysis. …”
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