Features of Soret and Dufour effects on an unsteady mixed convection nanofluid flow about a revolving Riga cone by T. A. Yusuf, S. O. Salawu, U. D. Akpan

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Inertial and Linear Re-Absorption Effects on a Synovial Fluid Flow Through a Lubricated Knee Joint by Abdul Majeed Siddiqui, Khadija Maqbool, Afifa Ahmed, Amer Bilal Mann

“…The mathematical model of synovial fluid flow through the knee joint presents a set of non-linear partial differential equations solved by a recursive approach and inverse method through the software Mathematica 11. The results indicate that synovial fluid flow generates high pressure and shear stress away from the entry point due to the combined effects of inertial forces, linear re-absorption, and micro-rotation within the couple-stress fluid. …”
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Determination of possible industrial accident effects on a hydrogen storage tank in a fuel cell production facility by Saliha Cetinyokus

“…It was determined that the windows of buildings can be broken by the explosion effect (1 psi) at a distance of approximately 200 m using the B-S-T method. …”
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FUZZY SET ASSESSMENT OF INNOVATIVE PROJECT EFFECTIVENESS PARAMETERS by A. O. Baranov, E. I. Musyko, V. N. Pavlov

“…One of these methods is the method of real options. The traditional analysis of the innovation project effectiveness can also be augmented by the study of the impact of the uncertainty of future cash flows generated by the project on the effectiveness indices using the method of fuzzy sets. …”
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Dissolved and particulate micropollutant mixtures in surface waters: in vitro and chemical assessment in Rio de Janeiro versus global trends by Allan dos Santos Argolo, Beate I. Escher, Georg Braun, Maria König, John P. Vanden Heuvel, Daniele Maia Bila

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Experimental and Numerical Investigation of Heat Transfer Characteristics of Double-Layer Phase Change Walls for Enhanced Thermal Regulation in Summer Climates by Pengfei Qin, Hairuo Wang, Nina Gong, Xiaoning Cai, Hui Wang, Feng Hou

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EMUs Apron Board Structural Design Based on Weld Fatigue Life Analysis by WANG Guangming, FAN Letian, WEI Qinglong, CONG Lin, GUO Yao

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Enhancing Asset Management: Rapid Seismic Assessment of Heterogeneous Portfolios by Marco Gaspari, Margherita Fabris, Elisa Saler, Marco Donà, Francesca da Porto

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Graph Neural Networks: Architectures, Applications, and Future Directions by Valerio Ponzi, Christian Napoli

“…Traditional machine learning methods have often struggled to process such data in an effective manner. …”
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Conditional Random Field-Based Incremental Auto Scaling Algorithm to Enhance Workflow Scheduling in Cloud Computing by George Fernandez, Arunkumar Gopu, S. P. Abirami, B. Misha Chandar, T. Poongodi, B. Arunkumar

“…The CRF-IASA uniquely leverages CRF’s ability to model complex dependencies and interrelationships in resource management. Unlike traditional methods, which often rely on static or heuristic-based decision-making, CRF-IASA dynamically adapts to workload changes by effectively balancing data, memory, and CPU demands. …”
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COMPUTER VISUALIZATION IN TEACHING GENERAL TECHNICAL DISCIPLINES: THEORETICAL AND PRACTICAL ASPECTS by Pohorielov Mykhailo, Prasol Artem

“…The impact of computer visualization on the methods of teaching general technical disciplines has been analysed. …”
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Algorithm for numerical calculation of nonlinear lenticular membrane-pneumatic systems by iterative method of parameter increments taking into account the aftereffect of air pressu... by A. Yu. Kim, M. F. Amoyan, V. E. Khapilin

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Corrigendum: Exploring the impact of cooking techniques and storage conditions on resistant starch levels in mung beans and its effect upon blood glucose level and lipid profile in... by Saloni Chauhan, Harpreet Kaur, Renuka Aggarwal, Prabhjot Kaur, Kiran Bains

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Full Spectrum Electrochromic WO₃ Mechanism and Optical Modulation via Ex Situ Spectroscopic Ellipsometry: Effect of Li⁺ Surface Permeation by Buyue Zhang, Jintao Wang, Shuhui Jiang, Meng Yuan, Xinyu Chen

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Image Classification of Multimedia Platforms With Texture Algorithms and Neural Networks by Mauricio Sauzameda-Gonzalez, Josue Alvarez-Borrego, Esperanza Guerra-Rosas

“…The results are very significant due to the high efficiency obtained and confirm the effectiveness of the models with the WIS method for the classification of multimedia platform images with the characteristics of the databases used. …”
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What is the impact on recruitment of a shortened compared with a standard-length participant information leaflet? PROMETHEUS in IBD-BOOST: study within a trial, a decentralised UK... by L. Miller, A. Hart, F. Cléirigh-Büttner, C. Arundel, T. Hamborg, S. McGuinness, R. Moss-Morris, A. Parker, C. Relton, I. Stagg, L. Sweeney, V. Wileman, Z. Zenasni, C. Norton

“…Aim To evaluate the efficacy of a shortened vs standard-length PIL on trial recruitment and retention rates. Methods This two-arm study within a trial (SWAT) was embedded in a host randomised controlled trial (RCT)—IBD-BOOST. …”
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Research on Treatment Methods and Optimization Strategies of High BOD and COD Water Pollution by Dou Yixiang

“…This study aims to find effective treatment solutions. It systematically analyzes physical, chemical, and biological treatment methods by comparing their effects, exploring synergies, and considering costs. …”
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Analysis of methods for assessing rock fracture resistance under dynamic load application by Linnik Yu.N., Linnik V.Yu.

“…For rocks of high strength, as practice has shown, the most effective is the impact method of their destruction. …”
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Solution of nonlinear telegraph equation with discontinuities along the transmission line using meshless collocation method by Muhammad Asif, Tabassum Gul, Muhammad Bilal Riaz, Faisal Bilal

“…In this paper, we present a novel hybrid numerical technique combining radial basis functions (RBFs) and the finite difference method (FDM) for solving the one-dimensional telegraph interface model (TIM). …”
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Machine learning approach to study drug effects and identification of signals from symptomatic and asymptomatic mutation carries using iPSC-derived cardiomyocytes by Martti Juhola, Henry Joutsijoki, Kirsi Penttinen, Katriina Aalto-Setälä

“…Good classification results were generated with effective machine learning methods. Various test situations were applied to study how different parts of data can be separated to ensure their differences. …”
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