Prior probability cues bias sensory encoding with increasing task exposure by Kevin Walsh, David P McGovern, Jessica Dully, Simon P Kelly, Redmond G O'Connell

“…When observers have prior knowledge about the likely outcome of their perceptual decisions, they exhibit robust behavioural biases in reaction time and choice accuracy. Computational modelling typically attributes these effects to strategic adjustments in the criterion amount of evidence required to commit to a choice alternative - usually implemented by a starting point shift - but recent work suggests that expectations may also fundamentally bias the encoding of the sensory evidence itself. …”
Get full text

FDM data driven U-Net as a 2D Laplace PINN solver by Anto Nivin Maria Antony, Narendra Narisetti, Evgeny Gladilin

“…However, conventional domain discretization techniques for numerical solving PDEs such as Finite Difference (FDM), Finite Element (FEM) methods are unsuitable for real-time applications and are also quite laborious in adaptation to new applications, especially for non-experts in numerical mathematics and computational modeling. More recently, alternative approaches to solving PDEs using the so-called Physically Informed Neural Networks (PINNs) received increasing attention because of their straightforward application to new data and potentially more efficient performance. …”
Get full text

Finding structure during incremental speech comprehension by Bingjiang Lyu, William D Marslen-Wilson, Yuxing Fang, Lorraine K Tyler

“…Furthermore, this study provides empirical evidence supporting the use of artificial neural networks as computational models for revealing the neural dynamics underpinning complex cognitive processes in the brain.…”
Get full text

Cobalt-free composite-structured cathodes with lithium-stoichiometry control for sustainable lithium-ion batteries by Ke Chen, Pallab Barai, Ozgenur Kahvecioglu, Lijun Wu, Krzysztof Z. Pupek, Mingyuan Ge, Lu Ma, Steven N. Ehrlich, Hui Zhong, Yimei Zhu, Venkat Srinivasan, Jianming Bai, Feng Wang

“…Through multiscale-correlated experimental characterization and computational modeling on the calcination process, we unveil the role of Li-deficiency in suppressing the rocksalt-to-layered phase transformation and crystal growth, leading to small-sized composites with the desired low anisotropic lattice expansion/contraction during charging and discharging. …”
Get full text

Crosstalk Between NK Cell Receptors and Tumor Membrane Hsp70‐Derived Peptide: A Combined Computational and Experimental Study by Mina Yazdi, Morteza Hasanzadeh Kafshgari, Fatemeh Khademi Moghadam, Vahid Zarezade, Rupert Oellinger, Mohammad Khosravi, Stefan Haas, Cosima C. Hoch, Alan Graham Pockley, Ernst Wagner, Barbara Wollenberg, Gabriele Multhoff, Ali Bashiri Dezfouli

“…Considering that TKD binding to an activating receptor is the initial step in the cytolytic signaling cascade of NK cells, herein this interaction is studied by molecular docking and molecular dynamics simulation computational modeling. The in silico results showed a crucial role of the heterodimeric receptor CD94/NKG2A and CD94/NKG2C in the TKD interaction with NK cells. …”
Get full text

Efficiency of information support of operator when controlling power engineering facilities by Vladimir Pavlov, Tatyana Aksenova, Victor Aksenov

“…The methods of the study: methods of systems analysis, mathematical modeling of complex systems, computer modeling, theory of Markov processes, theory of systems with accidental changing structure. …”
Get full text

The Numerical Analysis of Replenishment of Hydrogel Void Space Concrete Using Hydrogels Containing Nano-Silica Particles through ELM-ANFIS by Ji Min, Yousef Zandi, Alireza Sadighi Agdas, Ali Majdi, H. Elhosiny Ali, Amin Jan, Anas A. Salameh, Ahmed Abdel Khalek Ebid

“…Experiments were designed to measure the absorption capacity and kinetics of hydrogel particles immersed in pure water and cementitious pore solution, as well as to precisely analyze the data derived from the tests using hybridized soft computing models such as Extreme learning machine (ELM) and Adaptive neuro-fuzzy inference system (ANFIS). …”
Get full text

Ontological how and why: action and objective of planned processes in the food domain by Damion Dooley, Tarini Naravane

“…The computational modeling of food processing, aimed at various applications including industrial automation, robotics, food safety, preservation, energy conservation, and recipe nutrition estimation, has been ongoing for decades within food science research labs, industry, and regulatory agencies. …”
Get full text

Vehicle Response to Kinematic Excitation, Numerical Simulation Versus Experiment by Jozef Melcer, Eva Merčiaková, Mária Kúdelčíková, Veronika Valašková

“…A space multi-body computational model of a Tatra 815 heavy truck was adopted. …”
Get full text

Experimental Investigations and Numerical Simulations of the Vibrational Performance of Wood Truss Joist Floors with Strongbacks by Yinlan Shen, Haibin Zhou, Shuo Xue, Xingchen Yan, Jiahao Si, Cheng Guan

“…This paper provides an experimental study and computer modeling analysis of vibration performance of full-scale wood truss joist floors, related to the static deflection and vibration mode/frequency and single-person-induced vibration. …”
Get full text

A Dynamic Mechanistic Model of Perceptual Binding by Pavel Kraikivski

“…Here, I present a computational model of binding using two sets of coupled oscillatory processes that are assumed to occur in response to two different percepts. …”
Get full text

Dynamic response characteristics of the 67-type railway pontoon bridge by Cunbao Zhao, Zhongming Jiang, Bernt J. Leira, Xuzhao Shi, Zhaofeng Zheng

“…First of all, the hydrodynamic characteristics based on application of other computation models applied in relation to floating bridges are compared with the results obtained by the present approach. …”
Get full text

A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective by Dongmin Bang, Jeonghyeon Gu, Joonhyeong Park, Dabin Jeong, Bonil Koo, Jungseob Yi, Jihye Shin, Inuk Jung, Sun Kim, Sunho Lee

“…Leveraging the fast-accumulating high-throughput screening results, a number of computational models predicting ncRNA-disease associations have been developed. …”
Get full text

Construction of Students’ Innovation Ability Portrait for Cultural Intelligence Computing by Chunhong Liu, Xiaoniu Li, Jiahu Zhang

“…Finally, considering resource recommendation as an example, this study (1) adopts a computational model of crowd intelligence computing, (2) designs and implements a personalized recommendation system for educational resources based on the resulting innovation ability portraits, (3) improves the computing efficiency, and (4) expounds the applications of portraits in personalized learning, precise teaching, and smart educational decision-making to promote personalized innovative talent training and realize the core value of innovative culture.…”
Get full text

Brain network hypersensitivity underlies pain crises in sickle cell disease by Pangyu Joo, Minkyung Kim, Brianna Kish, Vidhya Vijayakrishnan Nair, Yunjie Tong, Ziyue Liu, Andrew R. W. O’Brien, Steven E. Harte, Richard E. Harris, UnCheol Lee, Ying Wang

“…We also conducted computational modeling on SCD brain network to study FDA's role in network sensitivity. …”
Get full text

How Do You Speak about Immigrants? Taxonomy and StereoImmigrants Dataset for Identifying Stereotypes about Immigrants by Javier Sánchez-Junquera, Berta Chulvi, Paolo Rosso, Simone Paolo Ponzetto

“…Stereotype is a type of social bias massively present in texts that computational models use. There are stereotypes that present special difficulties because they do not rely on personal attributes. …”
Get full text

Tora3D: an autoregressive torsion angle prediction model for molecular 3D conformation generation by Zimei Zhang, Gang Wang, Rui Li, Lin Ni, RunZe Zhang, Kaiyang Cheng, Qun Ren, Xiangtai Kong, Shengkun Ni, Xiaochu Tong, Li Luo, Dingyan Wang, Xiaojie Lu, Mingyue Zheng, Xutong Li

“…Tora3D shows superior performance to prior computational models in the trade-off between accuracy and efficiency, and ensures conformational validity, accuracy, and diversity in an interpretable way. …”
Get full text

Influences of chemotype and parental genotype on metabolic fingerprints of tansy plants uncovered by predictive metabolomics by Thomas Dussarrat, Rabea Schweiger, Dominik Ziaja, Thuan T. N. Nguyen, Liv Krause, Ruth Jakobs, Elisabeth J. Eilers, Caroline Müller

“…Additionally, the combined inclusion of inherited variation in main terpenoids and other metabolites in computational models may help connect chemodiversity and evolutionary principles.…”
Get full text

Enzymes with Lactonase Activity against Fungal Quorum Molecules as Effective Antifungals by Elena Efremenko, Aysel Aslanli, Maksim Domnin, Nikolay Stepanov, Olga Senko

“…The catalytic characteristics of enzymes such as lactonase AiiA, metallo-β-lactamase NDM-1, and organophosphate hydrolase His₆-OPH, selected for wet experiments based on the results of computational modeling, were investigated. QS lactone-containing molecules (butyrolactone I and γ-heptalactone) were involved in the experiments as substrates. …”
Get full text

A Low-Level Perceptual Correlate of Behavioral and Clinical Deficits in ADHD by Andra Mihali, Allison G. Young, Lenard A. Adler, Michael M. Halassa, Wei Ji Ma

“…Our results highlight the role of perceptual deficits in ADHD and the usefulness of computational modeling of behavior in dissociating perceptual from executive processes.…”
Get full text