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Holistic and local processing occur simultaneously for inverted faces: Evidence from behavior and computational modeling

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ATTENTION PERCEPTION & PSYCHOPHYSICS 2025年第3期87卷 922-935页

作者： Sun, Yini Sommer, Werner Sun, Qi Cao, Xiaohua Zhejiang Normal Univ Fac Psychol Jinhua Peoples R China Intelligent Lab Zhejiang Prov Mental Hlth & Crisis Dept Nephrol Jinhua Peoples R China Zhejiang Normal Univ Key Lab Intelligent Educ Technol & Applicat Zhejia Jinhua Peoples R China Humboldt Univ Dept Psychol Berlin Germany Hong Kong Baptist Univ Dept Phys Hong Kong Peoples R China Hong Kong Baptist Univ Lifesci Neuroimaging Ctr Hong Kong Peoples R China Natl Univ Malaysia Fac Educ Kuala Lumpur Malaysia

Whether inverted faces are processed locally or involve holistic processing has been debated for several years. This study conducted two experiments to explore the extent of holistic processing of inverted faces. Experiment 1 adopted a face-congruency paradigm that orthogonally manipulated stimulus congruency and orientation. Experiment 2 employed the complete congruency paradigm to test whether misalignment effects of inverted faces are related to holistic processing. The results of both experiments consistently demonstrated that inverted faces are processed not only locally but also holistically, and that misalignment disrupts the holistic processing of inverted faces. Subsequently computational modeling showed that in the congruent condition, the contributions of holistic and local information in inverted face processing performance were 24% and 76%, respectively, whereas in the incongruent condition, they were 10% and 90%, respectively. Together, the present study reveals that also inverted faces are processed holistically, albeit to a lower degree than upright faces.

关键词： Holistic processing Local processing Inversion Congruency effect computational modeling

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Comprehensive review on computational modeling of rheological behavior of various food with esophageal disorders: A mechanical perspective and diet modification

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INTERNATIONAL JOURNAL OF MODERN PHYSICS C 2025年第0期

作者： Mishra, Abhishek Kumar, Erukala Kalyan Mishra, Sriharsha Pal, Ankit Chaudhury, Kaustav Panda, Subrata Kumar Natl Inst Technol Dept Mech Engn Rourkela 769008 India Presidency Univ Yelahanka Sch Engn Dept Mech Engn Bangalore Karnataka India

Disorders and diseases present considerable challenges to human society, and among them, dysphagia stands out as a frequently observed disorder, notably affecting both the elderly and pediatric populations. Addressing this issue has been the focus of numerous clinical and medical research efforts. However, a comprehensive approach that investigates both the mechanical and biological aspects of dysphagia holds promise for proposing and implementing more effective solutions. By exploring the mechanobiology of the human digestive system, particularly focusing on swallowing and esophageal peristalsis, a deeper understanding of dysphagia can be gained. Studying the rheological behavior of food during the digestion process becomes crucial, allowing for the customization of food diets for individuals affected by this disorder. This review provides an overview of various mathematical and finite element analysis (FEA) models that have been proposed to address dysphagia. Additionally, it explores the rheological properties of the food bolus, offering acumens that can contribute to a more nuanced understanding of the disorder. This multidimensional approach holds the potential to improve both the diagnosis and treatment of dysphagia, ultimately enhancing the quality of life for individuals affected by this condition.

关键词： Diet modification digestion dysphagia esophagus computational modeling FEM rheological analysis

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computational modeling of Combined Frost Damage and Alkali-Silica Reaction on the Durability and Fatigue Life of RC Bridge Decks

Journal of Intelligent Construction

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Journal of Intelligent Construction 2025年第1期1卷 1-14页

作者： Fuyuan Gong Xiaojie Sun Yuya Takahashi Koichi Maekawa Weiliang Jin College of Civil Engineering and Architecture Zhejiang University Hangzhou China Department of Civil Engineering The University of Tokyo Tokyo Japan Department of Civil Engineering Yokohama National University Yokohama Japan

A coupling model reflecting the interaction between freeze-thaw cycles (FTCs) and alkali-silica reactions (ASRs) is established from the microscale to the macroscale under the consideration of non-uniform environmental and mechanical conditions. At both material and structural levels with/without reinforcement, the deformation and damage patterns of specimens under single and coupled FTCs and ASRs were simulated by multiscale finite element analysis and partially verified by experiments. Furthermore, following different sources of damage actions, the remaining fatigue life of reinforced concentrate (RC) slabs under traffic loads was investigated. The results show that ASR-driven expansion is mainly governed by the arrangement of reinforcing bars, whereas FTC damage is mainly initiated from corners, edges, and surfaces of RC slab parts and closely relies on water supply. In addition, the severity of coupled damage (FTC and ASR) can be significantly greater than that of the sum of single ASR and FTC damage due to the gel-filling of pores and entrained air. Finally, in terms of the remaining fatigue life, the ASR could be occasionally beneficial for bridge decks under moving traffic loads due to gel-filled cracks and chemical prestressing. However, if cracks are empty or filled by condensed liquid water, the overall fatigue life will be significantly reduced.

关键词： Couplings Bridges Liquids Deformation computational modeling Loading Telecommunication traffic Fatigue Slabs Bars

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Toward Ontological Alignment: Coordinating Student Ideas with the Representational System of a computational modeling Unit for Science Learning

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COGNITION AND INSTRUCTION 2025年第1-2期43卷 1-32页

作者： Wagh, Aditi Rosenbaum, Leah F. Fuhrmann, Tamar Eloy, Adelmo Blikstein, Paulo Wilkerson, Michelle MIT Scheller Teacher Educ Program Cambridge MA 02139 USA Columbia Univ Teachers Coll Dept Math Sci & Technol New York NY USA Univ Calif Berkeley Berkeley Sch Educ Berkeley CA USA

computational modeling tools present unique opportunities and challenges for student learning. Each tool has a representational system that impacts the kinds of explorations students engage in. Inquiry aligned with a tool's representational system can support more productive engagement toward target learning goals. However, little research has examined how teachers can make visible the ways students' ideas about a phenomenon can be expressed and explored within a tool's representational system. In this paper, we elaborate on the construct of ontological alignment-that is, identifying and leveraging points of resonance between students' existing ideas and the representational system of a tool. Using interaction analysis, we identify alignment practices adopted by a science teacher and her students in a computational agent-based modeling unit. Specifically, we describe three practices: (1) Elevating student ideas relevant to the tool's representational system;(2) Exploring and testing links between students' conceptual and computational models;and (3) Drawing on evidence resonant with the tool's representational system to differentiate between theories. Finally, we discuss the pedagogical value of ontological alignment as a way to leverage students' ideas in alignment with a tool's representational system and suggest the presented practices as exemplary ways to support students' computational modeling for science learning.

关键词： computational modeling model-based inquiry middle school classroom discourse teachers instructional practice epistemic forms

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Complex Adaptive Systems:computational modeling and Simulation in the Social Sciences

计算社会科学

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计算社会科学 2025年第1期1卷 17-36页

作者： Qiang SUN North China University of Technology

This paper develops a comprehensive computational modeling and simulation framework based on Complex Adaptive Systems(CAS)theory to unveil the underlying mechanisms of self-organization,nonlinear evolution,and emergence in social *** integrating mathematical models,agent-based modeling,network dynamic analysis,and hybrid modeling approaches,the study applies CAS theory to case studies in economic markets,political decision-making,and social *** experimental results demonstrate that local interactions among individual agents can give rise to complex global phenomena,such as market fluctuations,opinion polarization,and sudden outbreaks of social *** framework not only provides a more robust explanation for the nonlinear dynamics and abrupt transitions that traditional models often fail to capture,but also offers valuable decision-support tools for public policy formulation,social governance,and risk *** the importance of interdisciplinary approaches,this work outlines future research directions in high-performance computing,artificial intelligence,and real-time data integration to further advance the theoretical and practical applications of CAS in the social sciences.

关键词： Complex Adaptive Systems computational modeling Simulation Experiments Agent-Based modeling Network Analysis Emergence Nonlinear Dynamics Social Systems

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A Data-Driven Approach to Habit Prediction: computational modeling and Emotion Analytics

A Data-Driven Approach to Habit Prediction: Computational Mo...

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Data Science, Agents & Artificial Intelligence (ICDSAAI), International Conference on

作者： N. Kirubakaran Nandhikaa Narayani G Harsini S G Chandrahasini S Sahana G Department of Computer Science and Business System Chennai Institute of Technology Chennai Tamilnadu India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

This paper introduces a computational model for gathering data from diverse sources to improve both group and individual communication by integrating visual and audio inputs, emotional sensitivity metrics, and performance evaluations. The ET model analyzes complex data patterns and draws insights into the emotional response using emotional level tokens. The proposed approach will help organizations develop decision-support software to integrate human-data interaction into business processes, which in turn accelerates decision-making and offers a competitive advantage by using emotional analysis to produce actionable business knowledge.

关键词： Performance evaluation Visualization Analytical models Sensitivity computational modeling Organizations Predictive models Data models Software Emotional responses

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Semantic processing of argument structure during naturalistic story listening: Evidence from computational modeling on fMRI

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NeuroImage 2025年 314卷 121253-121253页

作者： Xu, Tianze Li, Jixing Jiang, Xiaoming Institute of Language Sciences Shanghai International Studies University Shanghai China Department of Linguistics and Translation City University of Hong Kong Hong Kong China Key Laboratory of Language Science and Multilingual Artificial Intelligence Shanghai International Studies University Shanghai China

A long-standing theoretical debate exists in linguistics concerning argument structure processing, with separationism focusing on syntactic structure and projectionism on semantic properties. To investigate whether argument structure processing is primarily influenced by syntactic structure or semantic properties, this study employed integrative neurocomputational modeling to link brain functions with explicitly defined computational models. We analyzed naturalistic functional magnetic resonance imaging (fMRI) data from participants listening to a story, with a focus on subject noun phrase + verb chunks. The methodological framework integrated a general linear model (GLM) analysis of the fMRI data with computational modeling using natural language processing algorithms. These components were integrated using representational similarity analysis (RSA), allowing us to assess the relatedness of two symbolic computational models—one relying on syntactic information from parse trees and the other based on semantic selectional preference information of verbs—to brain activities. The GLM analysis identified significant neural correlates of argument structure processing largely consistent with previous findings, including the precuneus, the right superior temporal gyrus, and the right middle temporal gyrus. Some deviations from previous studies likely reflect the naturalistic nature of the stimuli and our contrast design. The RSA results favored the model utilizing semantic information—a finding further supported by effects observed in brain regions associated with argument structure processing in the literature and by an additional RSA comparing constructions with varying levels of transitivity. These findings suggest that during naturalistic story listening, humans rely heavily on semantic information to interpret argument structure. This study demonstrates an alternative method to engage with the debate on argument structure, highlighting a collaborative effort between t

关键词： Argument structure processing computational modeling Naturalistic fMRI Semantics Syntax

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computational modeling of the Effects of Sleep Deprivation on the Vigilance Decrement

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HUMAN FACTORS 2019年第7期61卷 1099-1111页

作者： Patterson, Robert Earl Lochtefeld, Darrell Larson, Kathleen G. Christensen-Salem, Amanda US Air Force Res Lab 711 Human Performance Wing Wright Patterson AFB OH 45433 USA US Air Force Res Lab Airman Syst Directorate Warfighter Interface Div 711 Human Performance Wing Wright Patterson AFB OH 45433 USA US Air Force Res Lab Wright Patterson AFB OH 45433 USA

Objective: We developed a computational model of the effects of sleep deprivation on the vigilance decrement by employing the methods of system dynamics modeling. Background: Situations that require sustained attention for a prolonged duration can cause a decline in cognitive performance, the so-called vigilance decrement. One factor that should influence the vigilance decrement is fatigue in the form of sleep deprivation. Method: We employed the methods of system dynamics modeling (numerical-integration techniques for modeling complex feedback systems) to create a computational model of the vigilance decrement. We then simulated the computational effects of sleep deprivation on the behavior of that model, using empirical data obtained from the literature for calibrating such effects. Results: Sleep deprivation of 2 hr over a 14-day period should produce an additional decline of 9% in detection performance over that found with the typical vigilance decrement, whereas 4 hr of sleep deprivation over 14 days should produce an additional decline of 14% in detection performance. Conclusion: With respect to dual-process theory, it is through its deleterious effects on analytical cognition that sleep deprivation should impact the vigilance decrement. Application: Such computational modeling may be advantageous for human-machine teaming by theoretically allowing a future autonomous software agent to anticipate the decline of human performance and compensate accordingly.

关键词： vigilance computational modeling sleep work-rest cycles

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computational modeling of Bone Fracture Healing Under Different Initial Conditions and Mechanical Load

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IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 2024年第7期71卷 2105-2118页

作者： Yang, Yuanyuan Zhao, Zeyu Qi, Xiaozhi Hu, Ying Li, Bing Zhang, Lihai Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Minimally Invas Surg Robot & Syst Beijing Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Minimally Invas Surg Robot & Syst Shenzhen 518055 Peoples R China Harbin Inst Technol Harbin Peoples R China Chinese Peoples Liberat Army Gen Hosp Dept Orthopaed Beijing Peoples R China

Objective: computational model of bone healing can replace animal experiments to study the parameters affecting the bone healing process, thus reducing the damage to experimental animals and saving a lot of time. We propose a computational model for continuous simulation of four phases of bone healing to study the effects of mechanical environmental and biological factors, including initial conditions at the fracture site, mechanical stimulus loading, and vascular growth rate. Methods: A finite element model of mechanobiological fracture healing containing several pre-determined variables was developed for bone healing after fracture in sheep, which included many relevant parameters and biological effects during fracture healing, such as the effects of mechanical environment, blood supply level in the local fracture area, cell migration and diffusion, and resorption effects of fracture healing. The effects of several parameters on indices such as Young's modulus of the callus during bone healing were obtained by simulation. Results: The initial geometry of the healing tissue and mechanical loading had the greatest effect on fracture healing, and different preset values were likely to cause delayed or non-healing fractures. Changed initial tissue properties of the healing tissue showed a nonlinear effect on fracture healing rather than a linear delay or advancement. Parameters related to angiogenesis had a greater effect on fracture healing compared to those related to cell migration. Conclusion: This paper quantified the effect of fracture healing pre-determined variables on fracture healing to better understand the application of mechanobiology in fracture healing simulation models and optimization of treatment strategies. Significance: The importance of initial conditions and loads on fracture healing has been shown to help physicians treat bone nonunion or delayed bone healing after a fracture.

关键词： Bones computational modeling Load modeling Strain Biological system modeling Finite element analysis Mathematical models Fracture healing mechanobiological modeling angiogenesis finite element numerical simulation

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computational modeling of molecularly imprinted polymers as a green approach to the development of novel analytical sorbents

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TRAC-TRENDS IN ANALYTICAL CHEMISTRY 2018年 98卷 64-78页

作者： Marc, Mariusz Kupka, Teobald Wieczorek, Piotr Pawel Namiesnik, Jacek Opole Univ Dept Analyt & Ecol Chem Fac Chem Ul Oleska 48 PL-45052 Opole Poland Opole Univ Fac Chem Dept Phys Chem & Mol Modeling Opole Poland Gdansk Univ Technol Fac Chem Dept Analyt Chem Gdansk Poland

The development of novel molecularly imprinted polymers (MIP) sorbents for specific chemical compounds require a lot of tedious and time-consuming laboratory work. Significant quantities of solvents and reagents are consumed in the course of the verification of appropriate configurations of polymerization reagents. Implementation of molecular modeling in the MIP sorbent development process appears to provide a solution to this problem. Appropriate simulations and computations facilitate the determination of the nature of interaction between the reagents and thus the selection of the best configuration of chemicals for the preparation of the sorbent. The article presents literature information on major computer software used for molecular modeling, its application in the development of MIP sorbents, as well as the advantages resulting from the implementation of computer-assisted techniques. The appropriate choice of polymerization reagents and conditions allows for a significant reduction of the adverse environmental impact of the entire laboratory process. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Molecularly imprinted polymers computational modeling Green analytical sorbents Green analytical chemistry Basic laboratory studies

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