Characteristics stochastic analysis of long and narrow deep excavations under soil spatial variability by Shouhua Liu, Zhaoliang Wang, Yadong Chen, Guohua Fang, Yiding Zhao, Junsheng Yang, Huasheng Sun

“…We developed a random finite element algorithm for deep excavations, which incorporated Python programming and the ABAQUS computational platform. This algorithm was created within the framework of random field theory and Monte Carlo simulation. …”
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LLM-Based Unknown Function Automated Modeling in Sensor-Driven Systems for Multi-Language Software Security Verification by Liangjun Deng, Qi Zhong, Jingcheng Song, Hang Lei, Wenjuan Li

“…With multi-language programs running on edge computing, embedded systems, and sensors, each connected device represents a potential attack vector, threatening data integrity and privacy. …”
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Borehole‐Based Interval Kriging for 3D Lithofacies Modeling by Yuqi Song, Frank T.‐C. Tsai

“…The minimization problem is solved by a global‐local genetic algorithm embedded with quadratic programming and Brent's method to obtain kriging weights and kriging length. …”
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Monte-Carlo Modelling For Evaluation Of Two Different Calculation Algorithms by Baljeet Seniwal, Telma C. F. Fonseca, Ranjit Singh

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Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets by Brooke M. Felsheim, Aranzazu Fernandez-Martinez, Cheng Fan, Adam D. Pfefferle, Michele C. Hayward, Katherine A. Hoadley, Naim U. Rashid, Sara M. Tolaney, George Somlo, Lisa A. Carey, William M. Sikov, Charles M. Perou

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An Improved Migratory Birds Optimization Algorithm for Closed- Loop Supply Chain Network Planning in a Fuzzy Environment. by Yangjun Ren, Qiong Chen, Yui-Yip Lau, Maxim A Dulebenets, Mengchi Li, Botang Li, Mark Ching-Pong Poo, Pengfei Zhang

“…Therefore, this study proposes a novel fuzzy programming model for closed-loop supply chain network design, which directly relies on the fuzzy ranking method based on a credibility measure. …”
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Targeting Molecular Pathways in Breast Cancer Using Plant-Derived Bioactive Compounds: A Comprehensive Review by Al Khalily IA, Megantara S, Aulifa DL

“…Research combining computational, in vitro, and in vivo studies has revealed that bioactive compounds such as flavonoids, alkaloids, and phenolics can provide meaningful therapeutic benefits. …”
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Power Loss and Electrothermal Characterization of Hybrid Power Integrated Modules for Industrial Servo Motor Drives by Hsien-Chie Cheng, Yan-Cheng Liu, Wen-You Jhu, Po-Kai Chiu, Tao-Chih Chang, Kuo-Ning Chiang

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Impact of the atmosphere state on interaction of aircraft vortex and condensation trails by A. I. Zhelannikov, A. N. Zamyatin, Yu. M. Chinyuchin

“…This paper uses a special computational software application, based on the discrete vortex method, to study the interaction of condensation and vortex trails. …”
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Development of a microwave low-pass filter based on a microstrip line projection mode by A. D. Yarlykov, O. A. Demin

“…Formulas obtained on the basis of analytical expressions for calculating the electrodynamic parameters of a microstrip line are used to describe the nature of changes in the elements of the scattering matrix of multistage low-pass filters in a given frequency band. A developed computer program was used to calculate the values of the elements of the low-pass filter scattering matrix across a wide range of substrate dielectric constant and frequency parameters. …”
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Toward Adaptive and Immune-Inspired Viable Supply Chains: A PRISMA Systematic Review of Mathematical Modeling Trends by Andrés Polo, Daniel Morillo-Torres, John Willmer Escobar

“…At the methodological level, a high degree of diversity in modeling techniques was observed, with an emphasis on mixed-integer linear programming (MILP), robust optimization, multi-objective modeling, and the increasing use of bio-inspired algorithms, artificial intelligence, and simulation frameworks. …”
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Avaliação hidráulica de um simulador de chuvas pendular Hydraulic evaluation of a rainfall simulator by Claudinei A. Montebeller, Daniel F. de Carvalho, Teodorico Alves Sobrinho, Antonio C. da S. Nunes, Emiliane Rubio

“…<br>This research was developed with the objective of evaluating the average drop diameter, the rain intensity and the distribution uniformity, for different arrangements of nozzle diameters and service pressures of a suspended rainfall simulator. A computational program was utilized in order to evaluate the relationship between the rainfall kinetic energy simulated by a rainfall infiltrometer and natural rainfall kinetic energy. …”
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3D Synthetic Aperture Imaging Method in Spectrum Domain for Low-Cost Portable Ultrasound Systems by Jurij TASINKIEWICZ

“…Performance of the proposed method was verified using numerical 3D acoustic data simulated in the Field II program for MATLAB and using experimental data from the custom design 3D scattering phantom collected by means of the Verasonics Vantage 256™ research ultrasound system equipped with the dedicated 1024-element 2D matrix transducer. …”
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EnsembleNPPred: A Robust Approach to Neuropeptide Prediction and Recognition Using Ensemble Machine Learning and Deep Learning Methods by Supatcha Lertampaiporn, Warin Wattanapornprom, Chinae Thammarongtham, Apiradee Hongsthong

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Improving microbial fitness in the mammalian gut by in vivo temporal functional metagenomics by Stephanie J Yaung, Luxue Deng, Ning Li, Jonathan L Braff, George M Church, Lynn Bry, Harris H Wang, Georg K Gerber

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A Design Strategy for Surface Modification and Decarburization to Achieve Enhanced Mechanical Properties in Additively Manufactured Stainless Steel by Soumya Sridar, Noah Sargent, Stephanie Prochaska, Mitra Shabani, Owen Hildreth, Wei Xiong

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Understanding intrinsic stress effects on vibrational response of silicon nanowires by Sina Zare Pakzad, Muhammad Muzammil, Mehdi Bostan Shirin, Basit Ali, Semih Berk Coban, Ege Nacarkucuk, Umut Kerimzade, Burhanettin Erdem Alaca

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Comprehensive Analysis of Trends in Ocean Surface Current by Delineating Kuroshio Extent Using an Optimized Segmentation Algorithm by Mohammed Abdul Athick A.S., Shih-Yu Lee, Chian-Yi Liu

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Generative artificial intelligence in primary care: an online survey of UK general practitioners by Charlotte R Blease, Cosima Locher, Maria Hägglund, Jens Gaab, Kenneth D Mandl

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Demanda hídrica do milho de cultivo de inverno no Estado do Rio de Janeiro Water demand of winter corn in the State of Rio de Janeiro, Brazil by Daniel F. de Carvalho, Eleandro S. da Cruz, Wilson A. da Silva, Teodorico A. Sobrinho

“…Using data from 34 meteorological stations, the irrigation demand was simulated for the corn crop for the winter season through computational program. The corrected Kc values for corn varied from 0.57 to 0.71 in the development stage I, from 0.9 to 1.12 in the stage III and from 0.63 to 0.86 in the stage IV in Rio de Janeiro State. …”
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