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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Adaptation to sustainable energy use: A case study on agricultural cooperatives by Mustafa Yıldırım, Bengü Everest

“… Energy use rates are continuously increasing with increasing populations. …”
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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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Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
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Molecular epidemiology of <i>Pseudomonas aeruginosa</i> in intensive care units by Demet Timur, Mustafa Ömür Parkan, Esma Gündüz Kaya

“…It was found that antibiotic susceptibility patterns of some clonally related isolates were similar. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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A dynamic early warning model based on LSTM-AM for property-based elderly care resource shortages in urban-rural integrated counties in China by Qingheng Sun

“…Traditional early warning models struggle to dynamically capture the supply-demand fluctuation patterns of property-based elderly care resources. …”
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The thermal stress response of Aedes aegypti and Aedes albopictus when exposed to rapid temperature changes by Hunter O. Covey, Randall Wilson, Yaizeth Gurrola-Mares, Joseph R. McMillan, Corey L. Brelsfoard

“…Respiration rates as a measure of thermal stress varied with rearing conditions and exposure temperatures, with notable declines observed as exposure temperatures increased. …”
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Land Use Effects on the Space Use and Dispersal of an Apex Predator in an Ecotone Between Tropical Biodiversity Hotspots by Bernardo Brandão Niebuhr, Sandra M. C. Cavalcanti, Ermeson A. Vilalba, Vanessa V. Alberico, João Carlos Zecchini Gebin, Danilo da Costa Santos, Ananda de Barros Barban, Raphael de Oliveira, Eliezer Gurarie, Ronaldo G. Morato

“…In contrast, movement rates were higher in open pastures, mainly during dispersal. …”
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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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An Examination of Water‐Related Melt Processes in Arctic Snow on Tundra and Sea‐Ice by Anika Pinzner, Matthew Sturm, Jennifer S. Delamere, Andrew R. Mahoney

“…We identify seven snow‐water mechanisms that can enhance or inhibit melt rates, all largely controlled by the local topography and the nature of the substrate. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. Its exceptional recall and precision rates highlight its effectiveness in handling challenging classifications. …”
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