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  1. 3461

    Sine Power Unit Inverse Lindley Model: Bayesian Analysis and Practical Application by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, H. E. Semary, Abdoulie Faal, Rokaya Elmorsy Mohamed

    Published 2025-06-01
    “…The SPUIL distribution demonstrates greater flexibility in modeling various hazard rate behaviors, including increasing, decreasing, N‐shaped, U‐shaped, and J‐shaped patterns. …”
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  2. 3462

    Comparative analysis of different stroke subtype burden and future trends over 15 years in China and globally from 1990 to 2021 by Zeyan Zhang, Zeyan Zhang, Sijia Wu, Tianyu Jin, Zhixuan Duan, Zhixuan Duan, Xiaoxia Du, Xiaoxia Du

    Published 2025-07-01
    “…Joinpoint regression and autoregressive integrated moving average (ARIMA) models were applied to analyze historical patterns and forecast future trajectories.ResultsThe age-standardized incidence rate (ASIR) and the age-standardized prevalence rate (ASPR) exhibited similar trends, with ischemic stroke (IS) showing an increase, while intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH) displayed a decline. …”
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  3. 3463

    Temporal changes in grain yield and quality of rice varieties released in Guangdong Province, China (1990–2020) by Huifang Yang, Longmei Wu, Bin Zhang, Taotao Yang, Jixiang Zou

    Published 2025-06-01
    “…Furthermore, the development of new varieties should prioritize higher head rice rate, particularly for early rice. These findings provide crucial insights into the evolving patterns of grain yield and quality in Guangdong Province, offering valuable guidance for future breeding strategies and cultivation practices.…”
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  4. 3464

    A study on green innovation and entrepreneurship in the dual carbon era and its implications for the energy market by Jingjing Sun, Xin Guan, Zeyu Wang, Jiali Zhang, Yepei Tan, Peng Nie

    Published 2025-05-01
    “…In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. …”
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  5. 3465

    Life Style Practices And Health Risk Behaviors Of Medical Students: A Cross Sectional Study by Shireen Jawed, Sundus Tariq, Zehra Jamil, Rabiya Ali, Rehana Rehman

    Published 2021-03-01
    “…Year I MBBS had superior acquaintance on healthy eating routines (p-value = 0.001), lifestyle patterns (p-value = 0.002), and stress handling practices (p-value < 0.001) as compared to senior class. …”
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  6. 3466

    Peltophorum pterocarpum flower mediated synthesis of silver nanoparticles and its catalytic degradation of Acid Blue 113 dye by Ramesh Vinayagam, Stuthi A. Shetty, Gokulakrishnan Murugesan, Louella Concepta Goveas, Thivaharan Varadavenkatesan, Raja Selvaraj

    Published 2025-07-01
    “…SEM and TEM analyses revealed uniformly spheroidal nanoparticles with an average size of 25.77 nm, while EDX confirmed the presence of silver. SAED patterns showed bright spots, indicating a polycrystalline nature, which was further supported by XRD, revealing a crystallite size of 15.58 nm and a lattice parameter of 0.4007 nm. …”
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  7. 3467

    What Kind of Information and Communication Technologies Do Patients with Type 2 Diabetes Mellitus Prefer? An Ecuadorian Cross-Sectional Study by Iván Chérrez-Ojeda, Emanuel Vanegas, Erick Calero, Karin Plaza, Jose A. Cano, Juan Carlos Calderon, Jorge Valdano, Jorge Oswaldo Gutierrez, Jose Guevara

    Published 2018-01-01
    “…The purpose of this study is to assess the frequency of use of information and communication technologies and patterns of preference among Ecuadorian patients with diabetes. …”
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  8. 3468

    Features of Investment Activity in Agriculture in the South of Russia and Ways of its Activation by Vladimir Ivanovich Trukhachev, Igor Yurievitch Sklyarov, Yuliya Mikhailovna Sklyarova, Vitaliy Zelimkhanovich Mazloev, Anna Vladimirovna Volkogonova

    Published 2018-03-01
    “…The fall in the rouble exchange rate to foreign currencies made foreign agricultural products and food too expensive on the Russian market and sales fell sharply in Russia. …”
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  9. 3469

    Acute Pesticide Poisoning in Children: Hospital Review in Selected Hospitals of Tanzania by Elikana Lekei, Aiwerasia V. Ngowi, Leslie London

    Published 2017-01-01
    “…Because the burden of childhood APP is unknown in Tanzania, this study describes the distribution, circumstances, and patterns of APP involving children under 18 years in Tanzania. …”
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  10. 3470

    A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. by Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange

    Published 2022-11-01
    “…Using extensive simulation studies, we demonstrate that RITSS controls the type 1 error rate in a wide range of scenarios, and we show how the screening strategy influences statistical power. …”
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  11. 3471

    Nonlinear variations and drivers of vegetation NPP on the Tibetan Plateau: Interaction of natural and human factors. by Jie Tang, Xinghong Peng, Wenfu Peng

    Published 2025-01-01
    “…Results revealed nonlinear fluctuations in NPP during the study period, ranging from 184.06 to 208.53 gC m-2.a-1, with an average annual growth rate of 1.16 gC m-2.a-1. Significant spatial differences were observed, with higher NPP in the grasslands and forests of the southeast, while lower productivity was found in the alpine deserts of the northwest. …”
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  12. 3472

    Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

    Published 2025-09-01
    “…With identical hyperparameters including a learning rate of 0.001, a batch size of 64 and training for 100 epochs using the Adam optimizer, ReLU, ELU, Leaky ReLU and Swish activation functions were compared. …”
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  13. 3473

    Perceptual (dis)similarities between colors and emotions: An empirical investigation with the image-based visual corpus analysis approach by Jinmeng Dou, Wenting Xue

    Published 2025-09-01
    “…The results reveal that (i) significant differences exist among the six colors in their effectiveness at capturing affective (dis)similarities among various emotional concepts, as well as in their association strength with the affective domain, and (ii) the valence and arousal ratings of emotion words are significantly correlated to the strength of their associations with five of the six color terms, with the exception of blue. …”
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  14. 3474

    Spatiotemporal Distribution and Evolution of Global World Cultural Heritage, 1972–2024 by Yangyang Lu, Qingwen Han, Zheng Zhang, Zhong Sun, Jian Dai

    Published 2025-04-01
    “…There is a trend of positive east–west distribution on the whole. (3) Road density, per capita GDP, and other factors are the dominant factors affecting the spatial pattern of world cultural heritage, and the interaction between the factors shows a nonlinear enhancement or two-factor enhancement trend. (4) There are spatial differences in the mechanisms of the factors, with river density contributing positively, aspect rate and forest cover contributing negatively, population density, per capita GDP, and road density mainly contributing positively to the spatial distribution of the WCH, annual precipitation mainly contributing negatively, and the positive and negative effects of altitude and GDP being comparable. …”
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  15. 3475

    Residential Location Preferences in a Post-Conflict Context: An Agent-Based Modeling Approach to Assess High-Demand Areas in Kabul New City, Afghanistan by Vineet Chaturvedi, Walter Timo de Vries

    Published 2025-07-01
    “…The model simulates three alternative growth rate scenarios, i.e., ambitious, moderate, and steady. …”
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  16. 3476

    Dynamic Transitions in Neuronal Network Firing Sustained by Abnormal Astrocyte Feedback by Yangyang Yu, Zhixuan Yuan, Yongchen Fan, Jiajia Li, Ying Wu

    Published 2020-01-01
    “…Their abnormal state may lead to the pathological transition of neuronal firing patterns and even induce seizures. However, there is still little evidence explaining how the astrocyte network modulates seizures caused by structural abnormalities, such as gliosis. …”
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  17. 3477

    Anomaly Detection in Nuclear Power Production Based on Neural Normal Stochastic Process by Linyu Liu, Shiqiao Liu, Shuan He, Kui Xu, Yang Lan, Huajian Fang

    Published 2025-07-01
    “…On the Power Generation System (PGS) dataset with a 15% missing rate, our model achieves an F1 score of 83.72%, surpassing all baseline methods and maintaining strong performance across multiple industrial subsystems.…”
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  18. 3478

    Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

    Published 2024-10-01
    “…With an increase in electrocrystallization over-voltage, the rate of nucleation increases and their size decreases, while fine-grained and dense deposits are formed. …”
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  19. 3479

    Using Eye Tracking to Assess Reading Performance in Patients with Glaucoma: A Within-Person Study by Nicholas D. Smith, Fiona C. Glen, Vera M. Mönter, David P. Crabb

    Published 2014-01-01
    “…Patients with a more pronounced effect of longer reading duration on their worse eye made a larger proportion of “regressions” (backward saccades) and “unknown” EMs (not adhering to expected reading patterns) when reading with the worse eye when compared to the better eye. …”
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  20. 3480

    User Perception and Acceptance of Central Bank Digital Currency in Developed and Developing Countries: An Empirical Study using Technology Acceptance Model.

    Published 2024-01-01
    “…It also identifies new factors influencing human behavior patterns in the digital economy, such as perceived usefulness, perceived ease of use, perceived security, perceived trust, perceived privacy, perceived social influence, and perceived compatibility. …”
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