Fatigue lifetime of rubber composites – State-of-the-art by Karolina Głowacka, Jernej Klemenc, Marko Nagode, Tadeusz Łagoda

“…The paper focuses on the analysis of the fatigue properties of these composites, identifying the location of the crack and its path, the course of the hysteresis loop, the dependence between and strain under cyclic loading of these materials, and also the computational models used in the fatigue analysis of rubber-based composites.…”
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Analysis of the Frost-Induced Damage of Building Enclosures on the Territory of the Czech Republic by Jan Kočí, Jiří Maděra, Vojtěch Pommer, Robert Černý

“…The exterior boundary conditions of the computational model are defined by a set of weather data characterizing the environmental conditions in the Czech Republic, which are acquired from 64 weather stations. …”
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Interaction between Flow Diverter and Parent Artery of Intracranial Aneurysm: A Computational Study by Wenyu Fu, Qixiao Xia

“…To evaluate the influence of deployment strategy on the mechanical interaction between braided stent and parent artery of intracranial aneurysm (the elasticity of the arterial wall is considered), finite-element analyses are carried out by referring to computational models of flow-diverter device and arterial wall. …”
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Identification of a simplified mathematical model of an unmanned aerial vehicle by A. A. Lobaty, Y. F. Yatsyna, S. S. Prohorovith, Y. A. Hvitko

“…The analytical substantiation of the need to apply the methods of linearization of the mathematical model of UAV movement and the accepted assumptions for obtaining differential equations of UAV movement relative to the center of mass, allowing to synthesize the required transfer function of the corresponding element of the UAV control system. The results of computer modeling confirmed the validity of the synthesized mathematical model obtained on the basis of structural and parametric identification. …”
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Aging disrupts the link between network centrality and functional properties of prefrontal neurons during memory-guided behavior by Yadollah Ranjbar-Slamloo, Huee Ru Chong, Tsukasa Kamigaki

“…This relationship, however, deteriorates in middle-aged and older mice. A computational model simulating age-related declines in synaptic plasticity reproduces these results. …”
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A Review of Pediatric Lower Extremity Data for Pedestrian Numerical Modeling: Injury Epidemiology, Anatomy, Anthropometry, Structural, and Mechanical Properties by Yunzhu Meng, Costin D. Untaroiu

“…The goal of this study was to perform a systematic review of the data related to pedestrian lower extremity injuries, anatomy, anthropometry, structural, and mechanical properties, which can be used in the development of new pediatric computational models. The study began with a review of epidemiologic data related to pediatric pedestrian accidents. …”
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An Improved DR Algorithm Based on Target Extrapolating in ROIA Cloud Platform by Dong Liu

“…This paper proposes an improved DR algorithm based on target-extrapolating in a cloud platform for ROIA, elaborates the basic idea of the improved algorithm and the computational model formula, and then carries out a simulation experiment. …”
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Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns by Jaiteg Singh, Kamalpreet Singh Bhangu, Farman Ali, Ahmad Ali AlZubi, Babar Shah

“…Unlike sequential problem-solving approach of traditional computing models, Quantum superposition allows exploring multiple options at once. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…These factors contribute to the variability of human-generated humor, necessitating computational models capable of mastering diverse comedic styles with minimal subjectivity and maximal generalizability. …”
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Modelling of Rough Contact between Linear Viscoelastic Materials by Sergiu Spinu, Delia Cerlinca

“…Moreover, when real surface microtopography is considered, steep slopes inevitably lead to localized plastic deformation at the tip of the asperities that are first brought into contact. A computer model for the rough contact of linear viscoelastic materials, capable of handling deterministic contact geometry, complex viscoelastic models, and arbitrary loading histories, is advanced in this paper. …”
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Contact Dynamic Behaviors of Magnetic Hydrogel Soft Robots by Yunian Shen, Yiming Zou

“…However, their contact dynamic behaviors are complex, considering stick–slip motion at the contact interface, and lack accurate computational models to analyze them. This paper improves the numerical computational method for hydrogel materials with magneto-mechanical coupling effect, analyses the inchworm-like contact motion of the biomimetic bipedal magnetic hydrogel soft robot, and designs and optimizes the robot’s structure. …”
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Molecular simulations reveal intricate coupling between agonist-bound β-adrenergic receptors and G protein by Yanxiao Han, John R.D. Dawson, Kevin R. DeMarco, Kyle C. Rouen, Khoa Ngo, Slava Bekker, Vladimir Yarov-Yarovoy, Colleen E. Clancy, Yang K. Xiang, Surl-Hee Ahn, Igor Vorobyov

“…Summary: G protein-coupled receptors (GPCRs) and G proteins transmit signals from hormones and neurotransmitters across cell membranes, initiating downstream signaling and modulating cellular behavior. Using advanced computer modeling and simulation, we identified atomistic-level structural, dynamic, and energetic mechanisms of norepinephrine (NE) and stimulatory G protein (Gs) interactions with β-adrenergic receptors (βARs), crucial GPCRs for heart function regulation and major drug targets. …”
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2.5D Facial Personality Prediction Based on Deep Learning by Jia Xu, Weijian Tian, Guoyun Lv, Shiya Liu, Yangyu Fan

“…We address the objective of comprehensive understanding of a person’s personality traits by developing a multiperspective 2.5D hybrid personality-computing model to evaluate the potential correlation between static facial contour images and personality characteristics. …”
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The Contribution of Thalamocortical Core and Matrix Pathways to Sleep Spindles by Giovanni Piantoni, Eric Halgren, Sydney S. Cash

“…We find evidence for this hypothesis in EEG/MEG studies, intracranial recordings, and computational models that incorporate this difference. This distinction will prove useful in accounting for the multiple functions attributed to spindles, in that spindles of different types might act on local and widespread spatial scales. …”
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A Computational Study on the Use of an Aluminium Metal Matrix Composite and Aramid as Alternative Brake Disc and Brake Pad Material by Nosa Idusuyi, Ijeoma Babajide, Oluwaseun. K. Ajayi, Temilola. T. Olugasa

“…A computational model for the heat generation and dissipation in a disk brake during braking and the following release period has been formulated. …”
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Quantum machine learning with Adaptive Boson Sampling via post-selection by Francesco Hoch, Eugenio Caruccio, Giovanni Rodari, Tommaso Francalanci, Alessia Suprano, Taira Giordani, Gonzalo Carvacho, Nicolò Spagnolo, Seid Koudia, Massimiliano Proietti, Carlo Liorni, Filippo Cerocchi, Riccardo Albiero, Niki Di Giano, Marco Gardina, Francesco Ceccarelli, Giacomo Corrielli, Ulysse Chabaud, Roberto Osellame, Massimiliano Dispenza, Fabio Sciarrino

“…In recent years, an intermediate approach has been pursued to demonstrate quantum computational advantage via non-universal computational models. A relevant example for photonic platforms has been provided by the Boson Sampling paradigm and its variants, which are known to be computationally hard while requiring at the same time only the manipulation of the generated photonic resources via linear optics and detection. …”
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Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks by Amaury Vanvinckenroye, Gilles Vandewalle, Christophe Phillips, Sarah L. Chellappa

“…A key limitation of human neuroscience is the difficulty in isolating neuronal excitation/inhibition drive in vivo. Therefore, computational models are noninvasive approaches of choice to indirectly access hidden neuronal states. …”
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Predicting amyloid proteins using attention-based long short-term memory by Zhuowen Li

“…In this study, we develop a computational model for in silico identification of amyloid proteins using bidirectional long short-term memory in combination with an attention mechanism. …”
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Meso-mechanics simulation analysis of microwave-assisted mineral liberation by Qin Like, Dai Jun, Yuan Liqun

“…This paper takes rock grains with galena and calcite as the research object to establish a two-dimensional computational model through the finite difference software FLAC2D. …”
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Learning predictive signatures of HLA type from T-cell repertoires. by María Ruiz Ortega, Mikhail V Pogorelyy, Anastasia A Minervina, Paul G Thomas, Thierry Mora, Aleksandra M Walczak

“…Using our TCR-HLA associations, we trained a computational model to predict the HLA type of individuals from their TCR repertoire alone. …”
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