Efficiency of the Original Methods of Using Medicines and Early Enteral Nutrition in the Complex Treat­ Ment of Patients with Acute Pancreatitis by Andryushchenko V., Andryushchenko D., Kunovsky V., Mahlovany V.

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Analytical and numerical investigations of slip flow in a Jeffery-Hamel configuration within a converging microchannel incorporating a step variation in wall temperature and the ef... by Elhoucine Essaghir, Youssef Haddout, Mustapha Darif, Abdelaziz Oubarra, Jawad Lahjomri

“…Numerical validation is performed using a second-order finite difference method, showing a high agreement with a maximum deviation error <0.2 %, confirming the accuracy of both methodologies in efficiently resolving the singularity. …”
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Spatio-temporal variations in carbon sources, sinks and footprints of cropland ecosystems in the Middle and Lower Yangtze River Plain of China, 2013–2022 by Jing Kong, Yisong Li

“…Hence, this study was conducted with the help of carbon emission coefficient method. It investigated the spatio-temporal variations of carbon sources, sinks and carbon footprints of cropland ecosystems in this plain from 2013 to 2022. …”
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Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

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A Fast MPPT Method Based on Improved Water Cycle Optimization Algorithm for Photovoltaic Systems Under Partial Shading Conditions and Load Variations by Rafah Ibraheem Jabbar, Saad Mekhilef, Marizan Mubin, Obaid Alshammari, Ahmed Kazaili

“…This study proposes a MPP tracking (MPPT) method based on improved water cycle optimization for fast-tracking the GMPP under PS conditions, along with a new strategy to enhance the convergence speed of the MPPT method during load variations. …”
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Approximate methods for solving local fractional integral equations by Hassan Kamil Jassim

“…This paper presents new analytical approximate methods such as local fractional variational iteration method and local fractional decomposition method for a family of the linear and nonlinear integral equations of the second kind within local fractional derivative operators. …”
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Quantifying fracture process zone evolution in magnesium-based wood-like material: Analysis based on digital image correlation and variation factor method by Chunjie Li, Jun Cai, Xingrong Chen, Johnny F.I. Lam, Hongniao Chen

“…VFM achieves < 2.14 % deviation from conventional methods while significantly improving computational efficiency. …”
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High variation in Eastern Whip-poor-will home-range size and shape limits the effectiveness of one-size-fits-all habitat protection methods by Alicia M Korpach, Valerie von Zuben, Kevin C Fraser, Christina M. Davy

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Short-Term Power Prediction Method for Photovoltaic Power Plants Based on ECA-MTGNN Integration by HUANG Congzhi, LIU Yantong

“…To address the issue of low accuracy in short-term power prediction for photovoltaic (PV) power plants, this paper proposes a power prediction method that integrates an Efficient Channel Attention Mechanism and a Multivariate Time Series Graph Neural Network (ECA-MTGNN). …”
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APPLICATION OF OBJECTIVE AND SUBJECTIVE EVALUATION METHODS FOR MASTICATORY FUNCTION IN PATIENTS WITH MANDIBULAR OVERDENTURES by R.R. Bratus-Hrynkiv, A.Yu. Kordiiak

“… Appropriate chewing function is an important indicator of oral health, and masticatory efficiency assessment is one of the most objective methods of prosthetic treatment quality control. …”
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Efficient operation of inverted umbrella aerator: The effect of operating parameters on oxygenation performance by Liai Chen, Quanzeng Gou, Hongxun Hou, Song Chen, Dagui Wang, Lei Huang

“…This study systematically compares two distinct types of aerator designs (type 1# and type 2#) under varying conditions, analyzing oxygen transfer coefficients, standard oxygen-transfer rates, and standard dynamic efficiency (Es). And the orthogonal experimental method was employed to analyze the effects of different parameters on Es. …”
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Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-... by Setegn Worku Alemu, Timothy P. Bilton, Patricia L. Johnson, Benjamin J. Perry, Hannah Henry, Ken G. Dodds, John C. McEwan, Suzanne J. Rowe

“…For the second objective, the NN-GBLUP model incorporating PCA-reduced RMC data improved prediction accuracy compared to standard GBLUP methods. Prediction accuracy for methane emissions increased from 0.09 to 0.30 in train-test validation and from 0.15 to 0.27 in five-fold cross-validation using PCA components explaining 25% of total RMC variation. …”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

“…Using reliably classified RRabs from frequency analysis to train, validate, and test our model, we show that our CNN method reaches accuracies up to 94%. We then applied our CNN method to some additional RRabs located in the Magellanic Cloud (MC) and the Galactic Bulge (GB), leading to the discovery of 113 and 2496 BL candidates, respectively. …”
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Spatial Heterogeneity of Soil Nutrient in Principal Paddy and Cereal Production Landscapes of Fengtai County within the Huai River Basin, Eastern China by Zhiyang Jiang, Zheng Yin, Xinbin Li, Daokun Chen, Meiqin Huang, Yuzhi Zhou, Tingsen Wu, Mingze Zhao, Wenshuo Wang, Yupeng Zhang

“…How to accurately and quantitatively evaluate the soil quality of regional cultivated land and realize its efficient use has become an urgent problem. In order to explore the spatial autocorrelation and variation in soil nutrients in cultivated land in the plain of Fengtai County in the Huaihe River Basin, a total of 306 soil samples and mature wheat samples were collected in the study area to analyze soil pH, total nitrogen (TN), available nitrogen (AN), available phosphorus (AP), available potassium (AK) and slow-release potassium (SK) content and wheat biomass, and combined with geostatistical methods and GIS technology. …”
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Analysis of Cauchy reaction-diffusion equations involving Atangana-Baleanu fractional operator by Hassan Kamil Jassim, Ali Latif Arif

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Developing Geometry Based Criterion Function Method for Predicting Porosity in LM6 Castings by A. Sata, N. Maheta, H. Khandelwal, S.K. Gautam

“…Predictive method is crucial to solving this problem. Criterion function is a noteworthy empirical model that has been extensively studied in the literature. …”
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Efficient Finite-Difference Estimation of Second-Order Parametric Sensitivities for Stochastic Discrete Biochemical Systems by Fauzia Jabeen, Silvana Ilie

“…Sensitivity analysis is an important method for studying the influence of the variations in various parameters on the output of a biochemical model. …”
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In Low- and Middle-Income Countries the Uterine Tourniquet during Open Myomectomy is a Simple and Efficient Method of Reducing Blood Loss by Dehi Boston Mian, Vedi Loue, Virginie Angoi, Sophia Akinloye, Fatimata Ampoh

“…This study attempts to describe innovative methods in the efficient management of fibroids in low-and middle incomes countries. …”
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Efficient mechanochemical synthesis of new fluorinated Schiff bases: a solvent-free, alternative to conventional method with mercury adsorption properties by Mirza T. Baig, Mariam T. Sayed, Reem Aledamat, Sumyah Hassan, Alaa AlReyashi, Naheed Sidiq, Siham Y. Al-Qaradawi, Mohamed F. Mady

“…This paper describes a mechanochemical approach to the synthesis of novel fluorinated Schiff bases via ball milling, which provides a fast, high-yield, and green alternative to conventional reflux methods. The synthesized fluorinated Schiff bases are evaluated for their adsorption capacity and efficiency in mercury removal and compared to assess their performance, demonstrating that ball milling produced compounds with comparable physical attributes to those produced via traditional solvent-based procedures. …”
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Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions by Haider A. Mohamed-Kazim, Ahmed Hussein Shatti, Ahmed Aldhahab, Ikhlas Abdel-Qader, Sarmad K. Ibrahim, Rusul Noori Saraj

“…Furthermore, in adverse conditions, the proposed method improves power generation and efficiency more than the conventional P&O method, by 97.812 % and 98.923 %, respectively, as opposed to 80.236 % and 88.686 %. …”
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