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  1. 14061
  2. 14062

    A novel equation synthesis for estimating resting energy expenditure in prostate cancer patients by Nilüfer Acar Tek, Tevfik Koçak, Süleyman Yeşil, Tevfik Sinan Sözen

    Published 2025-03-01
    “…The purpose of this research was to evaluate the accuracy of the established novel equation for predicting REE in malign and benign prostate patients versus the accuracy of the previously used predictive equations based on REE measured by indirect calorimetry. …”
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  3. 14063
  4. 14064

    Prediction of the volume of shallow landslides due to rainfall using data-driven models by J. Tuganishuri, C.-Y. Yune, G. Kim, S. W. Lee, M. D. Adhikari, S.-G. Yum

    Published 2025-04-01
    “…The objectives of this research are to construct a model using advanced data-driven algorithms (i.e., ordinary least squares or linear regression (OLS), random forest (RF), support vector machine (SVM), extreme gradient boosting (EGB), generalized linear model (GLM), decision tree (DT), deep neural network (DNN), <span class="inline-formula"><i>k</i></span>-nearest-neighbor (KNN), and ridge regression (RR) algorithms) for the prediction of the volume of landslides due to rainfall, considering geological, geomorphological, and environmental conditions. …”
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  5. 14065

    The impact of dietary metabolizable energy levels on the performance of medium-sized geese: A systematic review by Shuo Wang, Chunbo Wei, Jiaxin Yan, Ying Zhang

    Published 2025-02-01
    “…The dose-response meta-analysis indicated optimal dietary metabolizable energy levels within the existing ranges, specifically 13 to 13.5 MJ/kg for medium-sized geese during the brooding stage, and 12 to 13 MJ/kg during the growing stage. Future research should explore the effects of dietary metabolizable energy levels in large-sized geese, small-sized geese, and diets with higher energy levels to broaden the understanding of energy optimization across different goose sizes and developmental stages.…”
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  6. 14066
  7. 14067

    MDO of Robotic Landing Gear Systems: A Hybrid Belt-Driven Compliant Mechanism for VTOL Drones Application by Masoud Kabganian, Seyed M. Hashemi

    Published 2025-06-01
    “…Moreover, articulated RLG concepts come with added complexity and weight penalties due to multiple drivetrain components. Previous research has highlighted that even a minor 3-degree slope change can increase the dynamic rollover risks by 40%. …”
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  8. 14068

    Predicting biomass transportation costs: A machine learning approach for enhanced biofuel competitiveness by Ali Omidkar, Razieh Es’haghian, Hua Song

    Published 2025-09-01
    “…Departing from the prevalent reliance on regression analysis in previous studies, this research demonstrates the limitations of multiple linear regression for accurately predicting transportation costs. …”
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  9. 14069

    Development and validation of a UV/visible spectrophotometric method for simultaneous assay of paracetamol and ibuprofen by Timothée Mavanga Mabaya, Jocelyn Mankulu Kakumba, Mannix Mayangi Makola, Adelard Mbenza Puati, Didi Mana Kialengila, Jean Mavar Tayey Mbay, Jérémie Mbinze Kindenge

    Published 2025-01-01
    “…Counterfeit medicines circulating within its territory account for over 20% of the pharmaceutical market. Purpose This research aimed to provide a simple, reliable, and economical method for quality control of drugs and healthcare products in the Congolese pharmaceutical market. …”
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  10. 14070
  11. 14071

    Post-hoc Evaluation of Sample Size in a Regional Digital Soil Mapping Project by Daniel D. Saurette, Richard J. Heck, Adam W. Gillespie, Aaron A. Berg, Asim Biswas

    Published 2025-03-01
    “…This clearly illustrates the need for additional research in determining an optimal sample size for DSM and demonstrates that operationalization of DSM in public institutions requires a sound scientific basis for determining sample size.…”
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  12. 14072

    Three-dimensional Thermal-hydraulic Design of Fuel Element for Small Modular Fluoride-salt-cooled High-temperature Advanced Reactor by DING Tongwei1, ZHANG Dalin2, CHEN Shuo3

    Published 2025-03-01
    “…Comparing with the experimental results, the maximum relative error of SST k-ω model is 7.8%, which shows the best numerical accuracy. …”
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  13. 14073
  14. 14074
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  16. 14076

    Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

    Published 2025-04-01
    “…The results showed root mean square error (RMSE) values of 13.17 trees (25.16%) for tree count, 0.40 m (3.57%) for average tree height (AH), and 320.88 kg (16.94%) for AGB. …”
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