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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Distance aware route algorithm for cloud computing based on CAN by HAN Zhi-jie1, HUANG Liu-sheng1, WANG Ru-chuan2, SUN Li-juan2, SHENG Ming1

“…Based on the traditional CRP mechanism,a new mechanism called M-CRP which is more adapt to the cloud computer mechanism was advanced.Based on traditional CAN,a new mechanism called M-CRP-CAN which make full use of M-CRP and make not only the CAN framework structure award of the physical location of nodes was advanced,but also the routing mechanism give more thought about the physical topology.The self-adaption can make the M-CRP-CAN has more ability to change according to the net status.In network simulation platform,the experimental results show that M-CRP’s performance is better than CRP in aspect of efficiency and precision.This M-CRP improves CRP from aspect of efficiency,precision and performance with multi-level mechanism,which make the node in cloud,has more perception to the underlying topology.In the meantime the M-CRP-CAN with M-CRP approach has realized localization download and greatly raised the data transfer rate,reduced the cross-traffic in backbone network and improve the network performance therefore enhance cloud computing system efficiency.…”
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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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Mechanical adhesion energy of thermal oxide scale on 0.01 and 0.12 wt.% Si-containing hot-rolled steels by Issaard Wannapha, Thublaor Thammaporn, Nilsonthi Thanasak

“….% Si and 7.08 ± 0.20% for 0.12 wt.% Si. The computed mechanical adhesion energy ranged from 1093 J/m2 to 1565 J/m2, demonstrating that higher silicon content correlates with enhanced scale adhesion. …”
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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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Motor synergy and energy efficiency emerge in whole-body locomotion learning by Guanda Li, Mitsuhiro Hayashibe

“…Few studies have dealt with the computational mechanism for generating synergies. Previously, optimal control generated synergistic motion for the upper limb; however, it has not yet been applied to the high-dimensional whole-body system. …”
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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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Development of cure kinetics models for drying nitrile-butadiene rubber latex film with computational fluid dynamics simulation by Chakrit Suvanjumrat, Kittipos Loksupapaiboon

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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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