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computational modeling of a unique tower in Kuwait for structural health monitoring: Numerical investigations

STRUCTURAL CONTROL & HEALTH MONITORING 2019年第3期26卷 e2317-e2317页

作者： Sun, Hao Al-Qazweeni, Jamal Parol, Jafarali Kamal, Hasan Chen, Zhao Buyukozturk, Oral Northeastern Univ Dept Civil & Environm Engn Boston MA 02115 USA MIT Dept Civil & Environm Engn 77 Massachusetts Ave Cambridge MA 02139 USA Kuwait Inst Sci Res Energy & Bldg Res Ctr Kuwait Kuwait

computational modeling, in addition to data analytics, plays an important role in structural health monitoring (SHM). The high-fidelity computational model based on the design and construction information provide important dynamics information of the structure and, more importantly, can be updated against field measurements for SHM purposes such as damage detection, response prediction, and reliability assessment. In this paper, we present a unique skyscraper (Al-Hamra Tower) located in Kuwait City and its high-fidelity computational model using ETABS for structural health monitoring applications. The tower is made of cast-in-place reinforced concrete with a core of shear walls and two curved shear walls running the height of the building (approximately 413m with 86 floors in total). Interesting static and dynamic characteristics of the tower are described. System identification, interferometry-based wave propagation analysis, and wave-based damage detection are performed using synthetic data. This work mainly presents the phase of numerical investigations, which serves as a basis for correlating the field monitoring data to the model of the building in future work.

关键词： Al-Hamra Tower computational modeling dynamic analysis structural health monitoring system identification wave propagation

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Anatomy of a Psychological Theory: Integrating Construct-Validation and computational-modeling Methods to Advance Theorizing

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PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2021年第4期16卷 803-815页

作者： Grahek, Ivan Schaller, Mark Tackett, Jennifer L. Brown Univ Dept Cognit Linguist & Psychol Sci Providence RI 02912 USA Univ British Columbia Dept Psychol Vancouver BC Canada Northwestern Univ Dept Psychol Evanston IL 60208 USA

Discussions about the replicability of psychological studies have primarily focused on improving research methods and practices, with less attention paid to the role of well-specified theories in facilitating the production of reliable empirical results. The field is currently in need of clearly articulated steps to theory specification and development, particularly regarding frameworks that may generalize across different fields of psychology. Here we focus on two approaches to theory specification and development that are typically associated with distinct research traditions: computational modeling and construct validation. We outline the points of convergence and divergence between them to illuminate the anatomy of a scientific theory in psychology-what a well-specified theory should contain and how it should be interrogated and revised through iterative theory-development processes. We propose how these two approaches can be used in complementary ways to increase the quality of explanations and the precision of predictions offered by psychological theories.

关键词： theory computational modeling construct validation

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computational modeling of abdominal hernia laparoscopic repair with a surgical mesh

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INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY 2018年第1期13卷 73-81页

作者： Todros, Silvia Pachera, Paola Baldan, Nicola Pavan, Piero G. Pianigiani, Silvia Merigliano, Stefano Natali, Arturo N. Univ Padua Ctr Mech Biol Mat Dept Ind Engn Via Venezia 1 I-35131 Padua Italy Padova Gen Hosp Via Giustiniani 2 I-35128 Padua Italy Univ Padua Dept Surg Oncol & Gastroenterol Surg Clin 3 Via Giustiniani 2 I-35131 Padua Italy

Purpose Although new techniques and prostheses have been introduced in ventral hernia surgery, abdominal hernia repair still presents complications, such as recurrence, pain, and discomfort. Thus, this work implements a computational method aimed at evaluating biomechanical aspects of the abdominal hernia laparoscopic repair, which can support clinical research tailored to hernia surgery. Methods A virtual solid model of the abdominal wall is obtained from MRI scans of a healthy subject. The mechanical behavior of muscular and fascial tissues is described by constitutive formulations with specific parameters. A defect is introduced to reproduce an incisional hernia. Laparoscopic repair is mimicked via intraperitoneal positioning of a surgical mesh. Numerical analyses are performed to evaluate the mechanical response of the abdominal wall in healthy, herniated and post-surgery configurations, considering physiological intra-abdominal pressures. Results During the deformation of the abdominal wall at increasing pressures, a percentage displacement increment up to 6% is found in the herniated condition, while the mechanical behavior of the repaired abdomen is similar to the healthy one. In the pressure range between 8 mmHg and 55mmHg, the herniated abdomen shows an incremental stiffness differing of 7% with respect to the healthy condition, while the post-surgery condition shows an increase of the incremental stiffness up to 58%. Conclusions This computational approach may be exploited to investigate different aspects of abdominal wall surgical repair, including mesh mechanical characteristics and positioning. Numerical modeling offers a helpful support for selecting the best-fitting prosthesis for customize pre-surgery planning.

关键词： Abdominal wall Laparoscopic hernia repair Surgical mesh computational modeling

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computational modeling in glioblastoma: from the prediction of blood-brain barrier permeability to the simulation of tumor behavior

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FUTURE MEDICINAL CHEMISTRY 2018年第1期10卷 121-131页

作者： Miranda, Ana Cova, Tania Sousa, Joao Vitorino, Carla Pais, Alberto Univ Coimbra Fac Pharm Pharmaceut Technol Dept Polo Ciencias Saude P-3000548 Coimbra Portugal Univ Coimbra Fac Med Ctr Neurosci & Cell Biol CNC Pharmacometr Grp Rua LargaPolo 11st Floor P-3004504 Coimbra Portugal Univ Coimbra Dept Chem Coimbra Chem Ctr Rua Larga P-3004535 Coimbra Portugal

The integrated in silico-in vitro-in vivo approaches have fostered the development of new treatment strategies for glioblastoma patients and improved diagnosis, establishing the bridge between biochemical research and clinical practice. These approaches have provided new insights on the identification of bioactive compounds and on the complex mechanisms underlying the interactions among glioblastoma cells, and the tumor microenvironment. This review focuses on the key advances pertaining to computational modeling in glioblastoma, including predictive data on drug permeability across the blood-brain barrier, tumor growth and treatment responses. Structure-and ligand-based methods have been widely adopted, enabling the study of dynamic and evolutionary aspects of glioblastoma. Their potential applications as predictive tools and the advantages over other well-known methodologies are outlined. Challenges regarding in silico approaches for predicting tumor properties are also discussed.

关键词： blood-brain barrier cancer treatment computational modeling glioblastoma ligand-based methods structure-based methods

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computational modeling of three-dimensional ECM-rigidity sensing to guide directed cell migration

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PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 2018年第3期115卷 E390-E399页

作者： Kim, Min-Cheol Silberberg, Yaron R. Abeyaratne, Rohan Kamm, Roger D. Asada, H. Harry MIT Dept Mech Engn Cambridge MA 02139 USA Singapore MIT Alliance Res Technol BioSyst & Micromech Interdisciplinary Res Grp Singapore 138602 Singapore Univ Tokyo Ctr Dev Global Leadership Educ Tokyo 1138654 Japan MIT Dept Biol Engn Cambridge MA 02139 USA

Filopodia have a key role in sensing both chemical and mechanical cues in surrounding extracellular matrix (ECM). However, quantitative understanding is still missing in the filopodial mechanosensing of local ECM stiffness, resulting from dynamic interactions between filopodia and the surrounding 3D ECM fibers. Here we present a method for characterizing the stiffness of ECM that is sensed by filopodia based on the theory of elasticity and discrete ECM fiber. We have applied this method to a filopodial mechanosensing model for predicting directed cell migration toward stiffer ECM. This model provides us with a distribution of force and displacement as well as their time rate of changes near the tip of a filopodium when it is bound to the surrounding ECM fibers. Aggregating these effects in each local region of 3D ECM, we express the local ECM stiffness sensed by the cell and explain polarity in the cellular durotaxis mechanism.

关键词： filopodia mechanosensing ECM durotaxis computational modeling

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The application of computational modeling for risk prediction in type B aortic dissection

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JOURNAL OF VASCULAR SURGERY 2020年第5期71卷 1789-+页

作者： Munshi, Bijit Parker, Louis P. Norman, Paul E. Doyle, Barry J. Harry Perkins Inst Med Res QEII Med Ctr Vasc Engn Lab Nedlands WA Australia Univ Western Australia Ctr Med Res Perth WA Australia Univ Western Australia Med Sch Perth WA Australia Univ Western Australia Sch Engn Perth WA Australia Fiona Stanley Hosp Dept Vasc Surg Perth WA Australia

Objective: New tools are urgently needed to help with surgical decision-making in type B aortic dissection (TBAD) that is uncomplicated at the time of initial presentation. This narrative review aims to answer the clinical question, Can computational modeling be used to predict risk in acute and chronic Stanford TBAD? Methods: The review (PROSPERO 2018 CRD42018104472) focused on risk prediction in TBAD. A comprehensive search of the Ovid MEDLINE database, using terms related to computational modeling and aortic dissection, was conducted to find studies of any form published between 1998 and 2018. Cohort studies, case series, and case reports of adults (older than 18 years) with computed tomography or magnetic resonance imaging diagnosis of TBAD were included. computational modeling was applied in all selected studies. Results: There were 37 studies about computational modeling of TBAD identified from the search, and the findings were synthesized into a narrative review. computational modeling can produce numerically calculated values of stresses, pressures, and flow velocities that are difficult to measure in vivo. Hemodynamic parameters-high or low wall shear stress, high pressure gradient between lumens during the cardiac cycle, and high false lumen flow rate-have been linked to the pathogenesis of branch malperfusion and aneurysm formation by numerous studies. Considering the major outcomes of end-organ failure, aortic rupture, and stabilization and remodeling, hypotheses have been generated about inter-relationships of measurable parameters in computational models with observable anatomic and pathologic changes, resulting in specific clinical outcomes. Conclusions: There is consistency in study findings about computational modeling in TBAD, although a limited number of patients have been analyzed using various techniques. The mechanistic patterns of association found in this narrative review should be investigated in larger cohort prospective studies to further

关键词： Aortic dissection Stanford type B DeBakey type III computational modeling computational fluid dynamics Risk Complication

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computational modeling of the effect of temperature variations on human pancreatic β-cell activity

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JOURNAL OF THERMAL BIOLOGY 2018年 75卷 69-87页

作者： Farashi, Sajjad Sasanpour, Pezhman Rafii-Tabar, Hashem Shahid Beheshti Univ Med Sci Sch Med Dept Med Phys & Biomed Engn Tehran Iran Inst Res Fundamental Sci IPM Sch Nanosci Computat Nanobioelectromagnet Res Grp Tehran Iran

The effect of temperature variations on the pancreatic beta-cell activity and the role of different model compartments in temperature sensing have been investigated using a computational modeling approach. The results of our study show that temperature variations by several degrees can change the dynamical states of the beta-cell system. In addition, temperature variations can alter the characteristic features of the membrane voltage, which correlates with insulin secretion. Simulation results show that the ion channels such as the L-type calcium, the hERG potassium, sodium channels and the glycolysis pathway are the possible sites for sensing temperature variation. Results indicate that for a small temperature change, even though the frequency and amplitude of electrical activity are altered, the area under the membrane potential curve remains almost unchanged, which implies the existence of a thermoregulatory mechanism for preserving the amount of insulin secretion. Furthermore, the computational analysis shows that the beta-cell electrical activity exhibits a bursting pattern in physiological temperature (37 degrees C) while in vitro studies reported almost the spiking activity at lower temperatures. Since hormone-secreting systems work more efficient in bursting mode, we propose that the pancreatic beta-cell works better in the physiological temperature compared with the reference temperature (33 degrees C).

关键词： computational modeling Temperature effect Pancreatic beta-cell Mathematical modeling Q10 coefficient

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A computational Framework for modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams

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ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 2022年第3期13卷 47-47页

作者： Yan, Runze Liu, Xinwen Dutcher, Janine Tumminia, Michael Villalba, Daniella Cohen, Sheldon Creswell, David Creswell, Kasey Mankoff, Jennifer Dey, Anind Doryab, Afsaneh Univ Virginia 1827 Univ Ave Charlottesville VA 22903 USA Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA 15213 USA Univ Pittsburgh 4200 Fifth Ave Pittsburgh PA 15260 USA Univ Washington 1400 NE Campus Pkwy Seattle WA 98195 USA

This paper presents a computational framework for modeling biobehavioral rhythms - the repeating cycles of physiological, psychological, social, and environmental events - from mobile and wearable data streams. The framework incorporates four main components: mobile data processing, rhythm discovery, rhythm modeling, and machine learning. We evaluate the framework with two case studies using datasets of smartphone, Fitbit, and OURA smart ring to evaluate the framework's ability to (1) detect cyclic biobehavior, (2) model commonality and differences in rhythms of human participants in the sample datasets, and (3) predict their health and readiness status using models of biobehavioral rhythms. Our evaluation demonstrates the framework's ability to generate new knowledge and findings through rigorous micro- and macro-level modeling of human rhythms from mobile and wearable data streams collected in the wild and using them to assess and predict different life and health outcomes.

关键词： computational modeling machine learning biobehavioral rhytluns mental health human behavior modeling

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Predictive Models of Coronary Artery Disease Based on computational modeling: The SMARTool System 41

Predictive Models of Coronary Artery Disease Based on Comput...

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41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Sakellarios, Antonis I. Tsompou, Panagiota Siogkas, Panagiotis Kigka, Vassiliki Andrikos, Ioannis Tachos, Nikolaos Georga, Elena Kyriakidis, Savvas Rocchiccioli, Silvia Pelosi, Gualtriero Fotiadis, Dimitrios I. Univ Ioannina Dept Mat Sci & Engn Unit Med Technol & Intelligent Informat Syst GR-45110 Ioannina Greece CNR Inst Clin Physiol I-56124 Pisa Italy FORTH IMBB Dept Biomed Res GR-45110 Ioannina Greece

ISBN: (纸本)9781538613115

SMARTool aims to the development of Decision Support Systems (DSS) for the risk stratification, diagnosis, prediction and treatment of coronary artery disease (CAD). In this work, we present the results of the prediction DSS, which utilizes clinical data, imaging morphological characteristics and computational modeling results. More specifically, 263 patients were recruited in the SMARTool clinical trial and 196 patients were selected for the DSS development. Traditional risk factors, blood examinations and computed coronary tomography angiography (CCTA) were performed at two different time points with an interscan period 6.22 +/- 1.42 years. computational modeling of blood flow and LDL transport was performed at the baseline. Predictive models are built for the prediction of CAD at the follow-up. The results show that CAD can be predicted with 83% accuracy, when low ESS, high accumulation of LDL and imaging data are included in the model.

关键词： Predictive models Arteries Solid modeling computational modeling Imaging Atherosclerosis

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Three-dimensional distribution of wall shear stress and its gradient in red cell-resolved computational modeling of blood flow in in vivo-like microvascular networks

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PHYSIOLOGICAL REPORTS 2019年第9期7卷 14067-14067页

作者： Balogh, Peter Bagchi, Prosenjit Rutgers State Univ Mech & Aerosp Engn Dept Piscataway NJ 08854 USA

Using a high-fidelity, 3D computational model of blood flow in microvascular networks, we provide the full 3D distribution of wall shear stress (WSS), and its gradient (WSSG), and quantify the influence of red blood cells (RBCs) on WSS and WSSG. The deformation and flow dynamics of the individual RBCs are accurately resolved in the model, while physiologically realistic microvascular networks comprised of multiple bifurcations, convergences, and tortuous vessels are considered. A strong heterogeneity in WSS and WSSG is predicted across the networks, with the highest WSS occurring in precapillary bifurcations and capillary vessels. 3D variations of WSS and WSSG are shown to occur due to both network morphology and the influence of RBCs. The RBCs increase the WSS by as much as three times compared to that when no RBCs are present, and the highest increase is observed in venules. WSSG also increases significantly, and high WSSGs occur over wider regions in the presence of RBCs. In most vessels, the circumferential component of WSSG is observed to be greater than the axial component in the presence of RBCs, while the opposite trend is observed when RBCs are not considered. These results underscore the important role of RBCs on WSS and WSSG that cannot be predicted by widely used 1D models of network blood flow. Furthermore, the subendothelium-scale variations of WSS and WSSG predicted by the present model have implications in terms of endothelial cell functions in the microvasculature.

关键词： computational modeling microcirculation microvascular networks red blood cells wall shear stress

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