Interneuronal modulations as a functional switch for cortical computations: mechanisms and implication for disease by Yann Zerlaut, Alexandra Tzilivaki, Alexandra Tzilivaki, Alexandra Tzilivaki

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Modelación numérica del concreto simple con elementos finitos mediante la teoría de la plasticidad y la función de fluencia de Hu y Schnobrich Numerical modeling of the simple conc... by Luis Rodríguez, Dorian Linero

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ANN-based two hidden layers computational procedure for analysis of heat transport dynamics in polymer-based trihybrid Carreau nanofluid flow over needle geometry by Adil Darvesh, Fethi Mohamed Maiz, Basma Souayeh, Luis Jaime Collantes Santisteban, Hakim AL. Garalleh, Afnan Al Agha, Lucerito Katherine Ortiz García, Nicole Anarella Sánchez-Miranda

Subjects: “…Computational mechanism…”
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Structural Damage Detection Using Energy Flow Models by E.R.O. Santos, V.S. Pereira, J.R.F. Arruda, J.M.C. Dos Santos

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Rate Sensitive Continuum Damage Models and Mesh Dependence in Finite Element Analyses by Goran Ljustina, Martin Fagerström, Ragnar Larsson

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Reliability Analysis of Damaged Beam Spectral Element with Parameter Uncertainties by M. R. Machado, J. M. C. Dos Santos

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A Review of the Engineering Properties of Metakaolin Based Concrete: Towards Combatting Chloride Attack in Coastal/Marine Structures by Deveshan L. Pillay, Oladimeji B. Olalusi, Paul O. Awoyera, Carlos Rondon, Ana María Echeverría, John Temitope Kolawole

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A Phantom-Node Method with Edge-Based Strain Smoothing for Linear Elastic Fracture Mechanics by N. Vu-Bac, H. Nguyen-Xuan, L. Chen, C. K. Lee, G. Zi, X. Zhuang, G. R. Liu, T. Rabczuk

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Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis by Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen

“…Numerical simulation of thin solids remains one of the challenges in computational mechanics. The 3D elasticity problems of shells of revolution are dimensionally reduced in different ways depending on the symmetries of the configurations resulting in corresponding 2D models. …”
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A strain based Lipschitz regularization for materials undergoing damage by Kamasamudram, Vasudevan, Stainier, Laurent

“…Data Driven Computational Mechanics (DDCM) solves the boundary value problem by directly relying on the strain-stress data, bypassing the need for a constitutive model. …”
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Experimental and computational investigation of the effect of machining parameters on the turning process of C45 steel by Tien-Thinh Le, Hang Thi Pham, Hiep Khac Doan, Panagiotis G. Asteris

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Irreducible representation of surface distributions and Piola transformation of external loads sustainable by third gradient continua by dell’Isola, Francesco, Fedele, Roberto

“…The presented results allow for the formulation of well-posed boundary condition problems for third gradient continua in the Lagrangian description, and are relevant in computational mechanics. In view of the obtained Piola transformation formulas, the concept of dead loads needs to be modified. …”
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Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol. by Josh Martin, Fatemeh Gholamali Nezhad, Alice Rueda, Gyu Hee Lee, Colleen E Charlton, Milad Soltanzadeh, Karim S Ladha, Sridhar Krishnan, Andreea O Diaconescu, Venkat Bhat

“…Moreover, we aim to link the computational mechanisms to their underlying neural causes and use the parameters of the neurocomputational model to make individual treatment predictions.…”
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An Authentication Approach in a Distributed System Through Synergetic Computing by Jia-Jen Wang, Yaw-Chung Chen, Meng-Chang Chen

“…A synergetic computing mechanism is proposed to authenticate the validity of event data in merchandise exchange applications. …”
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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…Meanwhile, CKAN incorporates a convolutional computational mechanism based on KAN. The model proposed in this paper is constructed by incorporating attention mechanisms into CKAN’s computational logic. …”
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The preference for surprise in reinforcement learning underlies the differences in developmental changes in risk preference between autistic and neurotypical youth by Motofumi Sumiya, Kentaro Katahira, Hironori Akechi, Atsushi Senju

“…Here, we aimed to investigate these changes and underlying computational mechanisms. Method We ran a game-like risk-sensitive reinforcement learning task on 75 participants aged 6–30 years (AUT group, n = 31; NTP group, n = 44). …”
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State of the Art of CFD-DEM Coupled Modeling and Its Application in Turbulent Flow-Induced Soil Erosion by Jun Xu, Fei Wang, Ruth Abegaz

“…It explores various fluid–soil particle interaction computational mechanisms and their implications for erosion dynamics, emphasizing several key aspects, including the following: laminar vs. turbulent flow models: understanding the distinctions between flow regimes is critical for accurately predicting fluid-induced soil particle movement. …”
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