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  1. 4661

    Evaluating the Predictive Accuracy of an AI-Based Tool for Postoperative Vault Estimation in Phakic Intraocular Lens Implantation by Zaldivar R, Zaldivar R, Cummings AB, Cummings BK, Mertens EL, Ang RE, Zarate Piscopo LI, Quintero G, Cerviño A

    Published 2025-06-01
    “…Emilio Civit 701, Mendoza, Argentina, Email zaldivar@zaldivar.comIntroduction: Phakic intraocular lenses are widely used for refractive error correction, with the EVO ICL delivering excellent visual outcomes. …”
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    Article
  2. 4662

    Genotypic and Phenotypic Association of Agronomic Features in Triticale Genotypes under Drought Stress Conditions by Hassan Basiri, Omid Alizadeh, Forud Bazrafshan, Mehdi Zare, Mohammad Yazdani

    Published 2026-03-01
    “…The data obtained from this experiment were first subjected to the composite analysis of variance, and year variance, environmental variance, genotypic variance, phenotypic variance, and test error variance were estimated based on these calculations. …”
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  3. 4663

    Mapping football tactical behavior and collective dynamics with artificial intelligence: a systematic review by José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, José E. Teixeira, Eduardo Maio, Eduardo Maio, Eduardo Maio, Pedro Afonso, Pedro Afonso, Samuel Encarnação, Samuel Encarnação, Samuel Encarnação, Guilherme F. Machado, Guilherme F. Machado, Ryland Morgans, Tiago M. Barbosa, Tiago M. Barbosa, António M. Monteiro, António M. Monteiro, Pedro Forte, Pedro Forte, Pedro Forte, Ricardo Ferraz, Ricardo Ferraz, Luís Branquinho, Luís Branquinho, Luís Branquinho, Luís Branquinho

    Published 2025-05-01
    “…Concretely, the tactical behavior was expressed by spatiotemporal tracking data using convolutional neural networks, recurrent neural networks, variational recurrent neural networks, and variational autoencoders, Delaunay method, player rank, hierarchical clustering, logistic regression, XGBoost, random forest classifier, repeated incremental pruning produce error reduction, principal component analysis, and T-distributed stochastic neighbor embedding. …”
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    Article
  4. 4664

    Evaluation of changes in objective visual quality based on tear film stability after SMILE surgery by Tao Liao, Tao Liao, Lili Li, Diefeng Wei, Hejuan Mao, Yanyan Huang, Pengfei Lu, Dedong Zhong, Haiyan Lu, Huiyao Huang, Qi Chen

    Published 2025-04-01
    “…Objective visual quality and tear film stability were assessed using the OQAS II preoperatively and at 1 week, 1 month, and 3 months postoperatively. Refractive error and uncorrected visual acuity were measured at the same time points. …”
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  5. 4665

    Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence... by Jui-Kai Wang, Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Zhi Chen, Honghai Zhang, Honghai Zhang, David Szanto, Brian Woods, Brian Woods, Michael Wall, Young H. Kwon, Young H. Kwon, Edward F. Linton, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mark J. Kupersmith, Mark J. Kupersmith, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Randy H. Kardon, Randy H. Kardon

    Published 2025-02-01
    “…A total of 10,701 OCT macular scans from 822 subjects were included in this study.ResultsIncorporating bLVs improved reconstruction accuracy, with the image-based root-mean-square error (RMSE) between input and reconstructed GCL thickness maps decreasing from 5.55 ± 2.29 µm (two dLVs only) to 4.02 ± 1.61 µm (two dLVs and eight bLVs). …”
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  6. 4666

    The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

    Published 2019-03-01
    “…In a second step, the data in different intervals are categorized according to the hydraulic and sediment characteristics using trial and error. Obtained results show that prediction of bed load transport with the median diameters of sediment particles (D50) ranging from 1 to 1.4 mm led to significant outcomes of NSE= 0.952, as well as flow condition in the intervals of 0.65 and 0.75 of Froude number generate better predictive ability with NSE= 0.925. …”
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  7. 4667

    Dynamic Relationship between the Iranian Stock Market and Commodity Markets: A TVP-VAR Approach and Portfolio Optimization by Hadi Esmaeilpour, Emad Sharifbagheri

    Published 2025-06-01
    “…The results indicate that cross-market interactions account for approximately 42.69% of the forecast error variance, revealing significant spillovers among these markets. …”
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  8. 4668

    Effects of Lacticaseibacillus paracasei K56 on perceived stress among pregraduate students: a double-blind, randomized, placebo-controlled trial by Yiran Guan, Ruixin Zhu, Wen Zhao, Langrun Wang, Li You, Zhaozhong Zeng, Qiuyue Jiang, Zeyang Zhu, Jiayu Gou, Qi Zhang, Jie Guo, Keji Li, Liang Zhao, Yixuan Li, Pengjie Wang, Bing Fang, Weilian Hung, Jian He, Liwei Zhang, Ran Wang, Jingjing He

    Published 2025-03-01
    “…Pre- and post-treatment serum biomarkers, gut microbiota composition and metabolites were also detected.ResultsThere was no difference in changes of PSS-10 scores from baseline to 2 weeks between the K56 groups and the placebo [mean (standard error): −1.68 (0.48) vs. -0.39 (0.46), p = 0.055]. …”
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  9. 4669
  10. 4670

    Triglyceride-glucose-body mass index and the incidence of cardiovascular diseases: a meta-analysis of cohort studies by Xiyun Rao, Ziyi Xin, Qingwen Yu, Lanlan Feng, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Jiake Tang, Xingwei Zhang, Mingwei Wang, Ling Liu

    Published 2025-01-01
    “…Results were combined using a random-effects model to account for heterogeneity among the included studies. Robust error meta-regression was used to fit the nonlinear dose–response relationship. …”
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  11. 4671

    Projections of Temperature and Precipitation Changes under CMIP6 Scenarios in Sistan-va-Baluchestan Province by S. Mirshekari, F. Yaghoubi, S.A. Hashemi

    Published 2025-01-01
    “…Four statistical indicators including correlation coefficient (R2), RMSE, Nash-Sutcliffe efficiency (NSE), and mean absolute error (MAE) were used to evaluate the performance of 10 GCMs. …”
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  12. 4672

    同向双螺杆挤出植物蛋白肉过程特性研究Characteristic of co-rotating twin-screw extrusion process for plant-based protein meat by 同向双螺杆挤出植物蛋白肉过程特性研究Characteristic of co-rotating twin-screw extrusion process for plant-based protein meat

    Published 2025-08-01
    “…The shear stress reached its maximum value at the screw clearance. In conclusion, numerical simulation can be used to guide the actual production of plant-based protein meat.…”
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  13. 4673

    The effect of language typology on the students’ writing skills: A case of the undergraduate students of Arabic language and literature at Arak University by Tahereh Khanabadi, Isa Motaghizadeh, Hayat Ameri, hadi nazarimonazam

    Published 2025-06-01
    “…The total scores of the language learners in the pre-test and in the post-test Conclusion The results showed the effectiveness of the mentioned model. …”
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  14. 4674

    The Pathology of Insistence on Indirect Disclosure of Operating Cash Flows by Esmail Farzaneh Kargar, Mehdi Bahar Moghadam

    Published 2024-08-01
    “…This method reduces reliability (fair presentation) because it is based on the income statement, which is prone to error and does not rely on initial transactions. …”
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  15. 4675

    Screening Elite Genotypes of Durum Wheat Based on Univariate and Multivariate Stability Models under Unpredictable Environments by Sharyar Sasani, Armin Saed-Moucheshi

    Published 2026-03-01
    “…The univariate methods included environmental variance parameters (S2), coefficient of environmental changes related to all investigated environments (CV), Rick's equivalence (W2), Shukla's stability variance (Shukla-Var), regression coefficients based on the Eberhart-Russell model to analyze the genotype × environment interaction effect on the regression components (b), the standard error value or deviation from the regression line in the Eberhart-Russell model (Sd), and the explanatory coefficient value of the regression model in the Eberhart-Russell model (R2). …”
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  16. 4676

    Assessment the Effects of Climate Change on the Degree of Heating and Cooling Days of Iran by Hasan Zolfaqari, Hamid Rahimi, Rohollah Oji

    Published 2017-05-01
    “…Overall, major changes in the temperature status of the country will occur in cold seasons. 4- Conclusion This study was based on data analysis of observed and simulated extreme values of temperature indicated that heating and cooling degree days of the country is changing. …”
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  17. 4677

    Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

    Published 2024-10-01
    “…The settings section of the said tools needs to be simplified and easily accessible for researchers so that they can remove their data from the repository if they prefer to do so. Conclusion Referring to the integration of generative AI chatbots into contemporary academia is not merely a bold statement but a necessary acknowledgement of technological advancement. …”
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  18. 4678

    Construction of a sugar and acid content estimation model for Miliang-1 kiwifruit during storage by LIU Li, YANG Tianyi, DONG Congying, SHI Caiyun, SI Peng, WEI Zhifeng, GAO Dengtao

    Published 2025-01-01
    “…For soluble solid content, the best model was 1st-D+GA-BP, with a coefficient of determination (R2) of 0.903 and a root mean square error (RMSE) of 1.731, indicating high accuracy in predicting kiwifruit SSC, and reflecting the potential relationship between spectral data and SSC. …”
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  19. 4679

    Correction of TRMM 3B43 Monthly Precipitation Data Using Quantile Regression Model in the Urmia Lake Basin by Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoobzadeh, khadijeh Javan

    Published 2024-05-01
    “…Furthermore, the Mean Absolute Error (MAE) significantly decreased after quantile regression correction, demonstrating a closer alignment between TRMM data and observed rainfall. …”
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  20. 4680

    Investigating The Performance Of Local And Indigenous Businesses In Times Of Economic Recession With Emphasis On Developing The Capabilities Of Cooperatives In Sistan And Baluchest... by Ali Asghar Tabavar, Abdoulnaser Derakhshan, Sahar Arefi

    Published 2024-12-01
    “…The first step in carrying out the estimation approach of vector error correction models is to check the meanness of the data. …”
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