S-task simulation builder framework as preventive work risk analysis

ARTICLESViscoelastic wave propagation and rheologic properties of skeletal muscleXT TruongXT TruongPublished Online:01 Feb 1974https://doi.org/10.1152/ajplegacy.1974.226.2.256MoreSectionsPDF (2 MB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookTwitterLinkedInWeChat Previous Back to Top Next Download PDF FiguresReferencesRelatedInformationCited ByCross-bridge mechanism of residual force enhancement after stretching in a skeletal muscle12 January 2018 | Computer Methods in Biomechanics and Biomedical Engineering, Vol. 21, No. 1Speed of sound in muscle for use in sonomicrometryJournal of Biomechanics, Vol. 49, No. 16A systematic muscle model covering regions from the fast ramp stretches in the muscle fibres to the relatively slow stretches in the human triceps surae29 April 2013 | Computer Methods in Biomechanics and Biomedical Engineering, Vol. 18, No. 1Mechanical Properties of Respiratory Muscles22 October 2013Load-Relaxation Properties of the Human Trunk in Response to Prolonged Flexion: Measuring and Modeling the Effect of Flexion Angle5 November 2012 | PLoS ONE, Vol. 7, No. 11The Huxley–Simmons manoeuvre: Is still lacking the experimental evidence that the quick release is a pure elastic phenomenonArchives of Biochemistry and Biophysics, Vol. 522, No. 2Muscle mechanism: The acceleration of the loadArchives of Biochemistry and Biophysics, Vol. 504, No. 2Skeletal muscle contraction. The thorough definition of the contractile event requires both load acceleration and load mass to be known18 June 2010 | Theoretical Biology and Medical Modelling, Vol. 7, No. 1A phenomenological model of the muscle as an active composite28 January 2009 | Mechanics of Composite Materials, Vol. 44, No. 6Development and Validation of Subject-Specific Finite Element Models for Blunt Trauma Study11 April 2008 | Journal of Biomechanical Engineering, Vol. 130, No. 2Initial mechanomyographical signals from twitching fibres of human skeletal muscleActa Physiologica, Vol. 191, No. 4Viscosity as an inseparable partner of muscle contractionJournal of Theoretical Biology, Vol. 242, No. 4Cooperative behaviour of the elementary sarcomere units and the cross-bridge step sizeBiophysical Chemistry, Vol. 118, No. 2-3A rheological motor model for vertebrate skeletal muscle in due consideration of non-linearityJournal of Biomechanics, Vol. 35, No. 9Shear elasticity probe for soft tissues with 1-D transient elastographyIEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Vol. 49, No. 4Physical and mechanical properties of ePTFE stretch vascular grafts determined by time-resolved scanning acoustic microscopyEuropean Journal of Vascular and Endovascular Surgery, Vol. 15, No. 5On Muscle and Joint ViscosityMotor Control, Vol. 1, No. 4Sonography and quantitative measurementsIEEE Engineering in Medicine and Biology Magazine, Vol. 15, No. 1Measurement of Transverse Stiffness Change During Contraction in Frog Skeletal Muscle by Scanning Laser Acoustic MicroscopeVelocity of ultrasound in active and passive cat medial gastrocnemius muscleJournal of Biomechanics, Vol. 25, No. 9Relationship between electrical and vibratory output of muscle during voluntary contraction and fatigueMuscle & Nerve, Vol. 14, No. 8Dynamic measurement of the viscoelastic properties of skinJournal of Biomechanics, Vol. 24, No. 2Ultrasound propagation in anisotropic soft tissues: The application of linear elastic theoryJournal of Biomechanics, Vol. 20, No. 3Elastic waves in a material with chemomechanical reactionsJournal of Applied Mathematics and Mechanics, Vol. 50, No. 3Tension responses to rapid length changes in skinned muscle fibres of the frogPfl�gers Archiv European Journal of Physiology, Vol. 405, No. 1Muscle Stiffness Changes during Isometric Contraction in Frog Skeletal Muscle as Studied by the Use of Ultrasonic WavesExtracellular fluid filtration as the reason for the viscoelastic behaviour of the passive myocardiumJournal of Biomechanics, Vol. 17, No. 10Changes in the X-ray reflections from contracting muscle during rapid mechanical transients and their structural implicationsJournal of Molecular Biology, Vol. 169, No. 2Changes in muscle stiffness during contraction recorded using ultrasonic wavesNature, Vol. 299, No. 5884Muscle, the Motor1 January 2011Elastic and inelastic behaviour of resting frog muscle fibresPfl�gers Archiv European Journal of Physiology, Vol. 387, No. 3Investigation of the temperature dependence of the cross bridge parameters for attachment, force generation and detachment as deduced from mechano-chemical studies in glycerinated single fibres from the dorsal longitudinal muscle of Lethocerus maximusBiophysics of Structure and Mechanism, Vol. 6, No. 1Pulse propagation in muscle24 May 2002 | Physics in Medicine and Biology, Vol. 23, No. 5A Method for Deriving Viscoelastic Modulus for Skeletal Muscle from Transient Pulse PropagationIEEE Transactions on Biomedical Engineering, Vol. BME-25, No. 4Mathematical description of the properties of muscle tissuePolymer Mechanics, Vol. 11, No. 4Crossbridge Formation Detected by Stiffness Measurements in Single Muscle Fibres More from this issue > Volume 226Issue 2February 1974Pages 256-264 Copyright & PermissionsCopyright © 1974 by American Physiological Societyhttps://doi.org/10.1152/ajplegacy.1974.226.2.256PubMed4544064History Published online 1 February 1974 Published in print 1 February 1974 Metrics

Current research in computer vision highlights the potential of using computational methods to analyze and access large datasets of real images and videos, performing tasks such as object detection or finding visual similarities. This essay describes how the application of these computational methods to digital art data transforms information inherent in images into new knowledge. We support this claim by presenting various research examples in the field of digital art history, which utilize computational methods for art analysis. We argue that in order to create new knowledge, we must involve transformative processes — from analog to digital data and digital to computational methods. Traditional methods used in art history to access datasets, link or edit images provide suggestions and validations for current practices, but are not sufficient role models for the processing of digital data because they were developed under varying technological conditions and standards and within a different historical context. Aby Warburg’s (1866-1929) Mnemosyne Atlas, which aimed to visualize visual continuities from antiquity to the Renaissance, is one method often cited in the context of digital humanities. We argue that the characteristics of digital data, for example being reproducible or modifiable, require innovative computer methods that do not have a direct analog counterpart. Our argument is based on the success of current projects and personal experience: the authors have expertise in computer vision and art history. They have created and applied computational methods to analyze art data and are thus able to identify shortcomings of traditional approaches and suggest possible solutions. Eventually this essay presents solutions, which demonstrate the great potential of computational methods for a data analysis: approaches enable an easy and explorative access to digital image collections through visualization techniques or an automatic object search. Computational methods establish links between thousands of images, thereby identifying the adaptation of specific motifs or styles by artists over time, or enable a conspicuous editing of images, thus providing new insights for art history unobtainable with analog methods.

An interactive computer program for measurement of data obtained using the extra-stimulus technique during electrode-catheter studies

Pathophysiology of ureteral obstruction.

One of the fundamental problems in simulating the motion of sharp interfaces between immiscible fluids is a description of the transition that occurs when the interfaces merge and reconnect. It is well known that classical methods involving sharp interfaces fail to describe this type of phenomena. Following some previous work in this area, we suggest a physically motivated regularization of the Euler equations which allows topological transitions to occur smoothly. In this model, the sharp interface is replaced by a narrow transition layer across which the fluids may mix. The model describes a flow of a binary mixture, and the internal structure of the interface is determined by both diffusion and motion. An advantage of our regularization is that it automatically yields a continuous description of surface tension, which can play an important role in topological transitions. An additional scalar field is introduced to describe the concentration of one of the fluid components and the resulting system of equations couples the Euler (or Navier–Stokes) and the Cahn–Hilliard equations. The model takes into account weak non–locality (dispersion) associated with an internal length scale and localized dissipation due to mixing. The non–locality introduces a dimensional surface energy; dissipation is added to handle the loss of regularity of solutions to the sharp interface equations and to provide a mechanism for topological changes. In particular, we study a non–trivial limit when both components are incompressible, the pressure is kinematic but the velocity field is non–solenoidal (quasi–incompressibility). To demonstrate the effects of quasi–incompressibility, we analyse the linear stage of spinodal decomposition in one dimension. We show that when the densities of the fluids are not perfectly matched, the evolution of the concentration field causes fluid motion even if the fluids are inviscid. In the limit of infinitely thin and well–separated interfacial layers, an appropriately scaled quasi–incompressible Euler–Cahn–Hilliard system converges to the classical sharp interface model. In order to investigate the behaviour of the model outside the range of parameters where the sharp interface approximation is sufficient, we consider a simple example of a change of topology and show that the model permits the transition to occur without an associated singularity.

This was the third research meeting focused on scapular function and dysfunction, following similar meetings in 2003 and 2006. The purpose of this meeting, hosted by the Shoulder Center of Kentucky, was to continue to examine the biomechanical and clinical factors thought to be associated with the role of the scapula in shoulder function and dysfunction. Since the last Summit, much more information has been created in this area, and it was thought that enough progress had been made that an organized overview of current knowledge could provide some consensus statements to guide further research and provide assessment and treatment guidelines. A call for abstracts was extended to researchers with proven interest and published research on the scapula. The meeting was organized around 3 primary categories of information: scapular kinematics and dysfunction, clinical evaluation of the scapula, and interventions. The last session of the meeting involved development of consensus statements for each category. This document represents the current state of knowledge concerning the aspects of scapular function and dysfunction discussed at the Summit. It is expected that, as more knowledge is developed, the gaps will be filled in and a clearer understanding of the roles of the scapula in shoulder function will emerge. This issue includes the consensus statements and abstracts from the Summit.

Physiologically based ocular pharmacokinetic modeling using computational methods

Brain atlases have a wide range of use from education to research to clinical applications. Mathematical methods as well as computational methods and tools play a major role in the process of brain atlas building and developing atlas-based applications. Computational methods and tools cover three areas: dedicated editors for brain model creation, brain navigators supporting multiple platforms, and atlas-assisted specific applications. Mathematical methods in atlas building and developing atlas-aided applications deal with problems in image segmentation, geometric body modelling, physical modelling, atlas-to-scan registration, visualisation, interaction and virtual reality. Here I overview computational and mathematical methods in atlas building and developing atlas-assisted applications, and share my contribution to and experience in this field.

With the rapid development of artificial intelligence, it is very important to find the pattern of the data from the observed data and the functional dependency relationship between the data. By finding the existing functional dependencies, we can classify and predict them. At present, cardiovascular disease has become a major disease harmful to human health. As a disease with high mortality, the prediction problem of cardiovascular disease is becoming more and more urgent. However, some computer methods are mainly used for disease detection rather than prediction. If the computer method can be used to predict cardiovascular disease in advance and treat it as early as possible, then the consequences of the disease can be reduced to a certain extent. Diseases can be predicted by mechanical methods. Support vector machine (SVM) has strict mathematical theory support, and can deal with nonlinear classification after using kernel techniques. Therefore, support vector machine can be used to predict cardiovascular disease. On the other hand, we also use logical regression and random forest to predict cardiovascular disease. This paper mainly uses the method of machine learning to predict whether the population is sick or not. First of all, we preprocess the obtained data to improve the quality of the data, and then use svm and logical regression to predict, so as to provide reference for the prevention and treatment of cardiovascular diseases.

Testing the interactive computer method (IM) for producing K indices with the data of the Hurbanovo and Budkov magnetic observatories

The assessment of the bone age, or skeletal maturity, is an important task in pediatrics that measures the degree of maturation of children's bones. Nowadays, there is no standard clinical procedure for assessing bone age and the most widely used approaches are the Greulich and Pyle and the Tanner and Whitehouse methods. Computer methods have been proposed to automatize the process; however, there is a lack of exploration about how to combine the features of the different parts of the hand, and how to take advantage of ensemble techniques for this purpose. This paper presents a study where the use of ensemble techniques for improving bone age assessment is evaluated. A new computer method was developed that extracts descriptors for each joint of each finger, which are then combined using different ensemble schemes for obtaining a final bone age value. Three popular ensemble schemes are explored in this study: bagging, stacking and voting. Best results were achieved by bagging with a rule-based regression (M5P), scoring a mean absolute error of 10.16 months. Results show that ensemble techniques improve the prediction performance of most of the evaluated regression algorithms, always achieving best or comparable to best results. Therefore, the success of the ensemble methods allow us to conclude that their use may improve computer-based bone age assessment, offering a scalable option for utilizing multiple regions of interest and combining their output.

Renal parenchymal transit time measurements are used in the diagnosis of obstructive nephropathy but parenchymal regions are usually drawn by hand with or without the aid of a functional image. This paper describes three computerized methods for derivation of parenchymal regions from a mean time functional image and compares them with the manual method by processing renogram data from 82 normal, 19 obstructed and 11 dilated nonobstructed kidneys using all four techniques. Receiver-operator characteristic analysis demonstrated the computer methods to be superior to manually drawn regions. The optimum computer method had a sensitivity of 95% and specificity 95% for distinguishing obstructed kidneys from dilated nonobstructed kidneys. The computer method could be readily incorporated into routine renogram analysis programs.

"Turning resistance of a manual wheelchair: a theoretical study." Computer Methods in Biomechanics and Biomedical Engineering, 17(sup1), pp. 94–95Keywords:: manual wheelchairrotationresistancemodel AcknowledgementsThe authors acknowledge the Chair of Biomechanics BiomecAM and the HanditecAM Foundation for their financial contribution to the project.

"Computation of spine intervertebral motions in scoliotic patients: a multibody approach." Computer Methods in Biomechanics and Biomedical Engineering, 18(sup1), pp. 1866–1867

"Swimming drafting simulation using a k − ω turbulence model." Computer Methods in Biomechanics and Biomedical Engineering, 17(sup1), pp. 156–157Keywords:: motion capturesoft tissue artefactsknee kinematicsoptimisationsquatting activity