Fluid–structure interaction simulation of pathological mitral valve dynamics in a coupled mitral valve-left ventricle model by Li Cai, Tong Zhao, Yongheng Wang, Xiaoyu Luo, Hao Gao

“…Such dysfunction is a major medical problem owing to the essential role of the MV in cardiac pump function. Computational modelling can provide new approaches to gain insight into the functions of the MV and LV.Methods In this study, a previously developed LV–MV model was used to study cardiac dynamics of MV leaflets under normal and pathological conditions, including hypertrophic cardiomyopathy (HOCM) and calcification of the valve. …”
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A Parallelizable Task Offloading Model with Trajectory-Prediction for Mobile Edge Networks by Pu Han, Lin Han, Bo Yuan, Jeng-Shyang Pan, Jiandong Shang

“…As an emerging computing model, edge computing greatly expands the collaboration capabilities of the servers. …”
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From Sensory Signals to Modality-Independent Conceptual Representations: A Probabilistic Language of Thought Approach by Erdogan, Goker, Yildirim, Ilker, Jacobs, Robert A.

“…To evaluate this hypothesis, we instantiate it in the form of a computational model that learns object shape representations from visual and/or haptic signals. …”
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Revealing quantum mechanical effects in enzyme catalysis with large-scale electronic structure simulation by Yang, Zhongyue, Mehmood, Rimsha, Wang, Mengyi, Qi, Helena Wen, Steeves, Adam H., Kulik, Heather Janine

“…Enzymes have evolved to facilitate challenging reactions at ambient conditions with specificity seldom matched by other catalysts. Computational modeling provides valuable insight into catalytic mechanism, and the large size of enzymes mandates multi-scale, quantum mechanical-molecular mechanical (QM/MM) simulations. …”
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The different distribution of enzymatic collagen cross-links found in adult and children bone result in different mechanical behavior of collagen by Depalle, Baptiste Pierre Jean, Duarte, Andre G., Fiedler, Imke A.K., Pujo-Menjouet, Laurent, Buehler, Markus J, Berteau, Jean-Philippe

“…We used ex vivo data previously obtained from biochemical analysis of children and adults bone samples (n = 14; n = 8, respectively) to create 22 sample-specific computational models of cross-linked collagen fibrils. By simulating a tensile test for each fibril, we computed the modulus of elasticity (E), ultimate tensile and yield stress (σu and σy), and elastic, plastic and total work (We, Wp and Wtot) for each collagen fibril. …”
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Mechanisms Underlying Disorders of Consciousness: Bridging Gaps to Move Toward an Integrated Translational Science by Luppi, Andrea I., Cain, Joshua, Spindler, Lennart R. B., Górska, Urszula J., Toker, Daniel, Hudson, Andrew E., Brown, Emery N., Diringer, Michael N., Stevens, Robert D., Massimini, Marcello, Monti, Martin M., Stamatakis, Emmanuel A., Boly, Melanie

“…We propose that a fundamental step towards this goal will be to combine translational, multi-scale, and multimodal data, with new biomarkers, theory-driven approaches, and computational models, to produce an integrated account of neural mechanisms in DOC. …”
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Mechanobiological model for simulation of injured cartilage degradation via pro-inflammatory cytokines and mechanical stimulus by Eskelinen, Atte SA, Tanska, Petri, Florea, Cristina, Orozco, Gustavo A, Julkunen, Petro, Grodzinsky, Alan J, Korhonen, Rami K

“…In order to predict the simultaneous effect of these degrading mechanisms on FCD content, a computational model has been developed. We simulated spatial and temporal changes of FCD content in injured cartilage using a novel finite element model that incorporates (1) diffusion of the pro-inflammatory cytokine interleukin-1 into tissue, and (2) the effect of excessive levels of shear strain near chondral defects during physiologically relevant loading. …”
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Mechanobiological model for simulation of injured cartilage degradation via pro-inflammatory cytokines and mechanical stimulus by Eskelinen, Atte SA, Tanska, Petri, Florea, Cristina, Orozco, Gustavo A, Julkunen, Petro, Grodzinsky, Alan J, Korhonen, Rami K

“…In order to predict the simultaneous effect of these degrading mechanisms on FCD content, a computational model has been developed. We simulated spatial and temporal changes of FCD content in injured cartilage using a novel finite element model that incorporates (1) diffusion of the pro-inflammatory cytokine interleukin-1 into tissue, and (2) the effect of excessive levels of shear strain near chondral defects during physiologically relevant loading. …”
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Prediction of the binding interface between monoclonal antibody m102.4 and Nipah attachment glycoprotein using structure-guided alanine scanning and computational docking by Tit-oon, Phanthakarn, Tharakaraman, Kannan, Artpradit, Charlermchai, Godavarthi, Abhinav, Sungkeeree, Pareenart, Sasisekharan, Varun, Kerdwong, Jarunee, Miller, Nathaniel Loren, Mahajan, Bhuvna, Khongmanee, Amnart, Ruchirawat, Mathuros, Sasisekharan, Ram, Fuangthong, Mayuree

“…In summary, our study provides insight into the m102.4-NiV interaction, demonstrating that structure-guided alanine-scanning and computational modeling can serve as the starting point for additional antibody reengineering (e.g. affinity maturation) to generate potential therapeutic candidates.…”
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Understanding Computer Programs: Computational and Cognitive Perspectives by Srikant, Shashank

“…I ask what the human bases of understanding code are, and attempt to determine whether computational models trained on code corpora (also known as code models) share similar bases. …”
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Artificial Neural Networks for Programming Quantum Annealers by Bosch, Samuel

“…Quantum annealers are mostly studied in the adiabatic regime, a computational model in which the quantum system remains in an instantaneous ground energy eigenstate of a time-dependent Hamiltonian. …”
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Unsupervised Phonetic Category Learning from Audio and Visual Input by Zhi, Sophia

“…This work demonstrates the benefit of visual information to a computational model of phonetic category learning, suggesting that children may benefit substantively by using visual cues while learning phonetic categories.…”
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Efficacy of Antibody and T cell Therapies for Highly Mutable Viruses like Human Immunodeficiency by Murugan, Pranav M.

“…In this work, we develop a stochastic computational model of viral dynamics to help characterize the regimes where viral control or cure may be possible. …”
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Neural Stress Fields for Reduced-order Elastoplasticity and Fracture by Zong, Zeshun, Li, Xuan, Li, Minchen, Chiaramonte, Maurizio M., Matusik, Wojciech, Grinspun, Eitan, Carlberg, Kevin, Jiang, Chenfanfu, Chen, Peter Yichen

“…State-of-the-art scientific computing models like the Material Point Method (MPM) faithfully simulate large-deformation elastoplasticity and fracture mechanics. …”
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Synthesis-Aided Development of Distributed Programs by Kuraj, Ivan

“…While the sequential computation model of programs represents a simple and natural form for expressing functionality, corresponding distributed implementations need to break this model. …”
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Heat diffusion during thin-film composite membrane formation by Deshmukh, Akshay, Lienhard, John H., Elimelech, Menachem

“…Using a combination of analytic solutions and computational models, we demonstrate that the thermal effusivities of fluid and material layers can have a significant effect on the temporal evolution of interfacial temperature during IP. …”
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Toward In-Context Teaching by Ross, Alexis J.

“…There is increasing interest in using computational models, particularly large language models, as pedagogical tools. …”
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Numerical modeling of buoyant plumes in a turbulent, stratified atmosphere by Bennett, Ralph Gregory, Golay, Michael Warren

“…A widely applicable computational model of buoyant, bent-over plumes in realistic atmospheres is constructed. …”
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The proper treatment of language acquisition and change in a population setting by Niyogi, Partha, Berwick, Robert C.

“…Language acquisition maps linguistic experience, primary linguistic data (PLD), onto linguistic knowledge, a grammar. Classically, computational models of language acquisition assume a single target grammar and one PLD source, the central question being whether the target grammar can be acquired from the PLD. …”
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Neural Representations and Mechanisms for the Performance of Simple Speech Sequences by Bohland, Jason W., Bullock, Daniel, Guenther, Frank H.

“…Using a finite alphabet of learned phonemes and a relatively small number of syllable structures, speakers are able to rapidly plan and produce arbitrary syllable sequences that fall within the rules of their language. The class of computational models of sequence planning and performance termed competitive queuing models have followed K. …”
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