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  1. 1321

    Words of Mouth on Destination Images and Intentions to Revisit

    Published 2025-04-01
    “…These results highlight the critical function of EWOM in reinforcing positive destination perceptions and encouraging repeat visits. …”
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  2. 1322

    Establishing a novel model to assess exercise capacity in chronic heart failure based on stress echocardiography by Huan Cen, Sinan Chen, Shen Feng, Xiankun Chen, Huiying Zhu, Wei Jiang, Han Zhang, Hongmei Liu, Bo Liu, Weihui Lu, Pengtao Sun

    Published 2024-12-01
    “…The analytical features of all patients in the four phases (rest, warm‐up, peak and recovery phases) of ESE included the following parameters: left ventricular (LV) systolic function, LV systolic function reserve, LV diastolic function, LV diastolic function reserve and right ventricular function. …”
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  3. 1323

    Possibilities of Using Artificial Intelligence in Security Analysis by Maciej Norbert Ciesielski

    Published 2024-12-01
    “…In total, out of twelve features/variables that make up analytical imagination, artificial intelligence already functions efficiently (or will function efficiently soon) in practically all of them.…”
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  4. 1324

    Development of Sub-channel Program and Multi-objective Optimization Method Research for Printed Circuit Heat Exchanger by CHEN Liqin, HUO Honglei, XIE Renyao, YANG Yi

    Published 2024-12-01
    “…The results of sensitivity analysis show that as the flow channel width and height of the cold side flow channel increase, the sensitivity of the objective function to the variables continues to decrease, the optimization effect gradually becomes worse, and there are optimal design points, which are 4 mm and 1 mm respectively. …”
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  5. 1325

    Evaluating Sensitivity of the Ranking of Forest Fuel Treatments to Manager’s Risk Attitudes and the Importance of Treatment Objectives, Montana, USA by Tony Prato, Travis Paveglio

    Published 2019-01-01
    “…The conceptual framework involves (1) defining a utility function on an index that is a weighted average of fuel treatment objectives and incorporates a manager’s risk attitude; (2) using the utility function to calculate utility values for FTSs; (3) applying the stochastic efficiency with respect to a function method to utility values to obtain certainty equivalents (CEs); and (4) ranking FTSs based on statistically significant differences in median CEs for pairs of FTSs. …”
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    Article
  6. 1326

    An analytical optimal calibration framework of bonded particle model for rock strength envelop modelling by Xiaoxiong Zhou, Hongyi Xu, Qiuming Gong, Yanan Ma, Weiqiang Xie

    Published 2025-05-01
    “…Bond tensile strength, cohesion and local internal friction angle were identified as independent variables for calibration. …”
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  7. 1327

    ETHNOPEDAGOGICAL COMPONENT OF PHYSICAL TRAINING OF SCHOOLCHILDREN by M. M. Kolokoltsev

    Published 2017-04-01
    “…The inclusion of elements of the Buryat national sports into the program of variable school physical education classes at schools of Baikal region is proved. …”
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  8. 1328

    Adaptive Exploration Artificial Bee Colony for Mathematical Optimization by Shaymaa Alsamia, Edina Koch, Hazim Albedran, Richard Ray

    Published 2024-11-01
    “…The performance of AEABC was evaluated against 33 state-of-the-art metaheuristics across twenty-five benchmark functions and an engineering application. AEABC consistently outperformed its counterparts, demonstrating superior efficiency and accuracy. …”
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  9. 1329

    Optimization by RSM of reinforced concrete domes with meridian ribs, under static loading. by Logzit N., Raouache E., Bentoumi M., Bentoumi A., Khababa I.

    Published 2025-06-01
    “…Ultimately, a cost-oriented objective function is derived, incorporating a load-bearing capacity coefficient. …”
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  10. 1330

    COMPARING GAUSSIAN AND EPANECHNIKOV KERNEL OF NONPARAMETRIC REGRESSION IN FORECASTING ISSI (INDONESIA SHARIA STOCK INDEX) by Yuniar Farida, Ida Purwanti, Nurissaidah Ulinnuha

    Published 2022-03-01
    “…The analysis results obtained the best method in predicting ISSI values, namely nonparametric kernel regression using Nadaraya-Watson estimator and Gaussian kernel function with the MAPE value of 15% and the coefficient of determination of 85%. …”
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    Article
  11. 1331

    Preference set-based design method for qualitative assessments using dominance-based rough set approach by Shotaro OYAMA, Takeo KATO

    Published 2025-04-01
    “…The preference set-based design (PSD) method enhances design efficiency by providing an adjustment range that reflects the preferences of the designer in the quantitative design variables and performance. …”
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  12. 1332

    Assessing the effect of dynamics of unpredictable locust invasive behavior and its effect on food security and community livelihood by Mfano Charles Petro

    Published 2025-09-01
    “…Additionally, it was observed that the deterrent coefficient in the invaded and source zones (ηi and ηs) has a significant impact on controlling the dynamic behavior of locusts.…”
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  13. 1333

    Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR) by Nhat-Duc Hoang, Xuan-Linh Tran, Thanh-Canh Huynh

    Published 2022-01-01
    “…Based on such datasets, LSSVR is capable of generalizing a multivariate function that estimates values of pile bearing capacity based on a set of variables describing pile characteristics and ground conditions. …”
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  14. 1334

    Alleviative Effect of Exogenous Application of Fulvic Acid on Nitrate Stress in Spinach (<i>Spinacia oleracea</i> L.) by Kangning Han, Jing Zhang, Cheng Wang, Youlin Chang, Zeyu Zhang, Jianming Xie

    Published 2024-10-01
    “…FA application promoted the accumulation of biomass in spinach under nitrate stress and increased chlorophyll content, the net photosynthetic rate, the maximum photochemical quantum yield of PSII (Photosystem II) (Fv/Fm), the quantum efficiency of PSII photochemistry [Y(II)], the electron transport rate, and the overall functional activity index of the electron transport chain between the PSII and PSI systems (PItotal); moreover, FA decreased PSII excitation pressure (1 − qP), quantum yields of regulated energy dissipation of PSII [Y(NPQ)], and the relative variable initial slope of fluorescence. …”
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  15. 1335

    Environmental impacts of floating solar panels on freshwater systems and their techno-ecological synergies by Sofia M G Rocha, Alona Armstrong, Stephen J Thackeray, Rebecca R Hernandez, Andrew M Folkard

    Published 2024-01-01
    “…However, understanding of the ecological consequences for water bodies is very limited despite the variable and far-reaching range of potential impacts. …”
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  16. 1336

    CAPITAL STRUCTURE AND FINANCIAL PERFORMANCE OF LISTED DEPOSIT MONEY BANKS IN NIGERIA by Kenneth S. Adeyemi, Lateef Olabisi Adedeji

    Published 2023-11-01
    “… The role of capital structure decision is critical to the performance of any bank. For any bank to efficiently perform its function of financial intermediation, it must be financially structured. …”
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  17. 1337

    Decomposed Linear Dynamical Systems (dLDS) models reveal instantaneous, context-dependent dynamic connectivity in C. elegans by Eva Yezerets, Noga Mudrik, Adam S. Charles

    Published 2025-08-01
    “…Abstract Mounting evidence indicates that neural “tuning” can be highly variable within an individual across time and across individuals. …”
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  18. 1338

    Preparation of Trop2-targeted chimeric antigen receptor T cells and study of their exhaustion status in vitro by LIU Xiuying, LI Xinzhan, ZHU Jingjing, ZHU Jingjing

    Published 2025-08-01
    “…Methods‍ ‍The second-generation CAR plasmid was constructed based on the single-chain variable fragment (scFv) sequence of Sacituzumab Govitecan targeting Trop2. …”
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  19. 1339

    An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

    Published 2025-01-01
    “…The efficiency of Independent Component Analysis ($\rm ICA$) algorithms relies heavily on the choice of objective function and optimization algorithms. …”
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  20. 1340

    A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition by Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem

    Published 2025-08-01
    “…To further enhance model inputs, Variational Mode Decomposition (VMD) is applied to extract informative Intrinsic Mode Functions (IMFs) from the selected features. A comparative evaluation of the models indicates that recurrent neural networks, particularly GRU and LSTM, deliver superior performance across various metrics, including RMSE, MAE, nRMSE, nMAE, R², and the correlation coefficient. …”
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