Comparative Study of Activated Carbon and Silver Nanoparticle-Loaded Activated Carbon Derived from Tea Waste for Removal of Tetracycline from Aqueous Solution by Hala A. Faisal, Alaa Kareem Mohammed, Nadya Hussin AL Sbani, Wan Nor Roslam Wan Isaha

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Machine learning-driven prognostic prediction model for composite small cell lung cancer: identifying risk factors with network tools and validation using SEER data and external co... by Fei Li, Mengfan Zhao, Linlin Cao, Shuai Qie

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FLUID DYNAMICS PROCESSES AT THE CENTRAL SAKHALIN FAULT (BASED ON OBSERVATIONS OF THE YUZHNO-SAKHALINSK MUD VOLCANO) by Valery V. Ershov

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Prior metabolic surgery attenuates the weight-loss efficacy of liraglutide in patients with mild obesity by Yuqin Ouyang, Yuqin Ouyang, Xinyue Xiang, Xinyue Xiang, Xinyun Hu, Xinyun Hu, Xuehui Chu, Wenjuan Tang, Wenjuan Tang, Wenhuan Feng, Wenhuan Feng, Wenhuan Feng

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Harnessing unsupervised machine learning with [18F]FDG PET/CT to develop a composite model for predicting overall survival in cervical cancer patients undergoing concurrent chemora... by Jinyu Shi, Lian Wang, Min Zhou, Shushan Ge, Shushan Ge, Bin Zhang, Jiangqin Han, Jihui Li, Shengming Deng, Shengming Deng

“…Background and purpose:This study sought to develop an advanced composite model to enhance the prognostic accuracy for cervical cancer patients undergoing concurrent chemoradiotherapy (CCRT). …”
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Optimization the preparation of whey protein from pasteurized liquid milk using Response Surface Methodology and Artificial Neural Network Model by Md. Anwar Hossain, Kanika Mitra, Md. Munnaf Hossen, Shammi Akhter

“…To produce protein hydrolysates with antioxidant and amino acid activities, whey protein concentrate (WPC) was alcalase-acylated under the optimal conditions in this study using Response Surface Modeling (RSM) and Artificial Neural Network (ANN). …”
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Aerosol Composition in a Semi-Urban Environment in Central Mexico: Influence of Local and Regional Processes on Overall Composition and First Quantification of Nitroaromatics by Sara E. Olivares-Salazar, Roya Bahreini, Ying-Hsuan Lin, Telma Castro, Harry Alvarez-Ospina, Dara Salcedo

“…Local and regional meteorology played a significant role in the variability of PM chemical composition, as it influenced oxidation and transport processes. …”
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Compositional Causal Identification from Imperfect or Disturbing Observations by Isaac Friend, Aleks Kissinger, Robert W. Spekkens, Elie Wolfe

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The Flexural Behavior of Reinforced Ultra-High Performance Engineering Cementitious Composite (UHP-ECC) Beams Fabricated with Polyethylene Fiber (Numerical and Analytical Study) by Ahmed M. Yassin, Mohamed Ahmed Hafez, Mohammad Mohie Eldin

“…This technique was validated using previous experimental results for UHP-ECC beams and found to be accurate and effective. The previous FE model was used to conduct a parametric study and the variables—the compressive strength of the concrete, the percentage of the volume content of polyethylene fibers, the tensile reinforcement ratio, and the span-to-depth ratio—were found to be effective upon the flexure behavior of the reinforced UHP-ECC beams. …”
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Soil property variability in a humid natural Mediterranean environment: La Rioja, Spain Varibilidad de las propiedades del suelo en ambiente mediterráneo húmedo: La Rioja, España V... by Raimundo Jiménez-Ballesta, Victoria Íñigo, Marisol S. Andrades, Juan I. Alonso-Martirena, Álvaro Marín

“…<p class="MsoNormal" style="line-height: 150%; margin-top: 0cm; margin-right: 0cm; margin-bottom: 0pt; margin-left: 0cm; text-align: left; ">Estimating the spatial variability of soil properties is significant for evaluating environmental impacts. …”
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Optimization of a new catalyst composition for trimerization of ethylene by Mohammad Javad Sharifi, Alireza Fazlali, Seyed Hamed Mahdaviani, Davood soudbar

“…The central composite design (CCD) model with three main parameters in three response levels for each factor was applied to analyze the effects of the parameters. …”
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Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach by Tahereh Khajvandsany, Hossein Amoozad Khalili, Ramezan Rezaeyan, Kourosh Nemati

“…The central composite design (CCD) method was used to develop the design of experiments (DOE) for the design variables. …”
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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…County-level yield data from 12 U.S. states were used, supplemented by multitemporal remote sensing datasets (MODIS surface reflectance, vegetation indices, and environmental variables). Empirical analyses showed that TransBiHGRU-PSO demonstrated improved estimation capability and generalizability compared to multiple benchmark models. …”
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OPTIMIZATION DESIGN OF COMPOSITE DRILL-BIT SPHERICAL SLIDING BEARING by WU KaiSong, YAN CaiXiu, DENG Tao, ZHAO Pan, JIA TongWei

“…Therefore,the ANSYS finite element analysis was adopted to establish the spherical composite bearing three-dimensional model; Used the contact finite element calculation to comparison and analysis the surface pressure distribution size and regularity of spherical and cylindrical; Lastly,used the spherical radius as design variables and the peak contact pressure as objective function establish composite bit sliding bearing optimization design model. …”
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Stresses in Composite Shafts Subjected to Unbalance Excitation and Transmitted Torque by H. B. H. Gubran, S. P. Singh, K. Gupta

“…Shafts of uniform as well as variable wall thickness are considered. The shaft is modeled as a simply supported Timoshenko beam in which shear deformation, rotary inertia and gyroscopic effects have been included. …”
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Biomechanics over body composition: what matters most in the 40 by Emma Sterne, Chukwudum Okpalaoka, Pavan Patel, Alexa Fraga, Caitlin Kucharski, Pete Bommarito, Monique Mokha

“…A multiple linear regression model was developed using the stepwise technique to predict post-training 40 times from post minus pre changes (Δ) in running biomechanics and body composition variables, p < .05.Results The fitted regression model was 4.654 – 0.972 * (ΔLMM) − 0.961 * (ΔBF%) − 10.078 (ΔGCT) + 0.048 * (ΔvGRF). …”
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Acid Aging of CFRP Composite Materials for Solar UAV Structure by Bing Shen, HongJun Liu, Shengli Lv, Zheng Li, Wen Cheng

“…Several typical empirical models were analyzed, and a hyperbolic tangent function empirical model with moisture content as the main variable was used to predict the CFRP flexural strength degradation process, and good results were obtained. …”
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Effect of Oak Wood Aging on Chemical Composition of Wheat Distillate by Natalya V. Shelekhova, Irina M. Abramova, Tamara M. Shelekhova, Liubov I. Skvortsova, Natаlya V. Poltavskaya

“…The thermal treatment mode and extraction time were variables. The authors developed a set of express methods to define the composition of volatile organic impurities and the ionic composition of grain distillates. …”
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Mechanical Properties and Strength Grading of Engineered Bamboo Composites in China by Siyuan Tang, Aiping Zhou, Jiannan Li

“…Engineered bamboo composite (EBC) is a new high-strength anisotropic structural material, which has standardized sections and less inherent variability than the natural material. …”
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Hip Fractures: Clinical, Biomaterial and Biomechanical Insights into a Common Health Challenge by Yunhua Luo

“…However, current clinical tools, such as FRAX, have notable limitations in accurately assessing fracture risk in individuals due to their reliance on statistical models, the treatment of interdependent risk factors as independent, and the omission of key variables like diabetes. …”
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