Home
Search results “Modeling and simulation articles”
Graphical Modeling Meets Systems Pharmacology
 
09:29
bStyle The power of Visual Biological Network Design and Simulation made ease. Authors: Rosario Lombardo, Petros Moyseos, Luca Tommasi, Ihsan Younes, Danilo Tomasoni, Stefano Giampiccolo, Alessio Paris. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398309/ http://www.cosbi.eu/modeling-and-simulation copyright 2016, The Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI)
Views: 289 COSBIResearchCentre
Creating an ocean - Part 1 of 4: Getting Started with BOSS
 
11:55
Files used: http://areadownloads.autodesk.com/wdm/maya/HTM_BOSS.zip HDR file: https://cgi.tutsplus.com/articles/freebie-8-awesome-ocean-hdris--cg-5684 In this video, we show you how to turn a plane into a realistic patch of water using the Bifrost Ocean Simulation System (BOSS). Additional reading: http://help.autodesk.com/view/MAYAUL/2018/ENU/?guid=GUID-1D4CE594-25ED-4442-9C22-759E3111EFD7
Views: 49228 Maya Learning Channel
Unity AI - Unity 3D Artificial Intelligence
 
08:49
Creating 3D Artificial Intelligence in a simulated world is actually pretty easy using Unity 5. It's a powerful tool and I'll go over its new ML Agents toolkit, that allows researchers and developers to build/train ML models in a 3D simulation. It's pretty fun watching it in a 3D world, lets break down the code and concepts. Please Subscribe! That's what keeps me going. EDIT: I made a mistake, minecraft was not created in Unity, but it has been recreated in Unity countless times. Code for this video (Please hit the red subscribe button for more): https://github.com/llSourcell/Unity_ML_Agents Brendan's Winning Code: https://github.com/bhansconnect/alpha_zero_othello Shadman's Runner Up Code: https://github.com/kudchikarsk/Happines-Prediction Want more education? Subscribe! And connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: https://unity3d.college/2017/11/01/unity3d-machine-learning-writing-a-custom-agent-create-your-own-ai-bot/ https://github.com/Unity-Technologies/ml-agents/blob/master/docs/Getting-Started-with-Balance-Ball.md https://blogs.unity3d.com/2017/09/19/introducing-unity-machine-learning-agents/ https://software.intel.com/en-us/articles/explore-unity-technologies-ml-agents-exclusively-on-intel-architecture Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Credits to sykoo for the unity footage Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 117812 Siraj Raval
Coarse-grained and multiscale modeling of proteins [review paper presentation]
 
05:37
The review text: http://pubs.acs.org/doi/full/10.1021/acs.chemrev.6b00163 Movie for download and license information: http://figshare.com/articles/Coarse-Grained_Protein_Models_and_Their_Applications/3759084 The presented review provides an overview of protein coarse-grained models focusing on their design - representation, force-fields, conformational sampling schemes - and applications in the modeling of protein structure, dynamics, and interactions. A more detailed description is given for coarse-grained models suitable for efficient combinations with all-atom simulations in multiscale modeling pipelines. Our laboratory web page: http://biocomp.chem.uw.edu.pl/
Views: 8350 Bio Comp Pictures
Economic models | Basic economics concepts | AP Macroeconomics and Microeconomics | Khan Academy
 
06:50
Why economists use models and their limitations. View more lessons or practice this subject at http://www.khanacademy.org/economics-finance-domain/ap-macroeconomics/basic-economics-concepts-macro/introduction-to-the-economic-way-of-thinking-macro/v/economic-models?utm_source=youtube&utm_medium=desc&utm_campaign=apmacroeconomics AP Macroeconomics on Khan Academy: Welcome to Economics! In this lesson we'll define Economic and introduce some of the fundamental tools and perspectives economists use to understand the world around us! Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 67998 Khan Academy
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
 
00:26
The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques.
Views: 89 AIRCC
MatterHackers Minute // 3D Printing for Medical Simulation
 
01:37
In this episode of the MatterHackers Minute, Mara discusses the work of Dr. Chee, who uses 3D printing to create models that are used to help students practice complex surgeries. Find out more about how 3D printing is being used in other careers: https://www.matterhackers.com/articles/careers-in-3d-printing?rcode=YTUBE Explore MatterHackers: https://www.matterhackers.com/?rcode=YTUBE Want to see more 3D printing & making awesomeness? Subscribe to our channel and turn on the notifications to get the latest and greatest 3D printing information delivered right to your flippin' inbox!
Views: 1033 MatterHackers
Dr. Ankita Katre, DST-INSPIRE faculty at Centre for Modeling and Simulation, Pune
 
07:36
Dr. Ankita Katre from Centre for Modeling and Simulation (CMS), Pune talks about her career and journey. Centre for Modeling and Simulation is part of Savitribai Phule Pune University at Pune. It is a centre for post graduate education and research. CMS offers a Masters programme - MTech. Dr Ankita Katre is a DST-INSPIRE faculty at Centre for Modeling & Simulation, SP Pune University. She completed her PhD in the field of computational materials science from ICAMS, Germany as Max Planck PhD Fellow in 2015. She was then working as post-doctoral research associate in CEA-Grenoble, France before coming back to India. Her research interests broadly revolve around ‘Renewable and Sustainable Energy Alternatives’ and she focusses on computationally designing nano materials for energy applications using theories of quantum physics. Her current area of interest is ‘heat conduction in nano materials’ and these studies give valuable insights for solving important problems such as excessive heating of electronic devices (e.g. mobile phones and laptops), and conversion of energy wasted in the form of heat to reusable form such as electricity. Her work is in close collaboration with scientists from India, Europe and U.S.A and to date she has authored 17 research articles published in international peer-reviewed journals. More information on her research can be found on https://ankitamkatre.wixsite.com/my-research.
Views: 41 Indiaart Gallery
Collaborative Modeling, Simulation, and Analytics with Splash, Peter J. Haas, 20150623
 
01:24:34
Peter J. Haas, Principal Research Staff Member, IBM Almaden Research Center In the past few years, research around (big) data management has begun to intertwine with research around predictive modeling and simulation in novel and interesting ways. Driving this trend is an increasing recognition that information contained in real-world data must be combined with information from domain experts, as embodied in simulation models, in order to enable robust decision making under uncertainty. This convergence of data management and simulation is exemplified by the IBM Splash prototype framework for combining existing heterogeneous simulation models and datasets to create composite simulation models of complex systems. Such composite modeling across a broad range of disciplines, though highly challenging, is needed to support sound and robust decision making around complex issues such as population health and safety. Splash combines and extends technologies for simulation, information integration, and massive scale analytics. We give an overview of the Splash system, highlight some interesting technologies that we have developed in the course of the project, and point to some of the open questions in the new and evolving research area of collaborative modeling, simulation, and analytics. Speaker Bio Peter J. Haas is a Principal Research Staff Member at the IBM Almaden Research Center and a Consulting Professor of Management Science and Engineering at Stanford University. He is an IBM Master Inventor, ACM Fellow, and former President of the Institute for Operations Research and Management Science (INFORMS) Simulation Society. His work focuses on the interface between probability, statistics, and computer science, and has encompassed stochastic simulation methodology, machine learning, and technology for information management and analytics from DB2 through MapReduce and Spark. Awards include an ACM SIGMOD 10-year Best Paper Award, IBM Research Outstanding Technical Achievement Award, and INFORMS Simulation Society Outstanding Simulation Publication Award. He has served on a variety of editorial boards and program committees, and is the author of over 100 conference publications, journal articles, and books. http://researcher.watson.ibm.com/researcher/view.php?person=us-phaas http://www.meetup.com/SF-Bay-ACM/events/222489627/ http://www.sfbayacm.org/event/collaborative-modeling-simulation-and-analytics-splash
Virtual-reality molecules bend, flex, and wiggle
 
02:22
Researchers developed a virtual-reality system that enables chemists to interact with flexible, 3-D molecular models. ↓↓More info and references below↓↓ The system combines consumer virtual-reality hardware with cloud-based molecular simulations to enable up to six chemists to manipulate molecules as though they are tangible objects. In tests of the system, the researchers found that users could complete molecular tasks faster in the VR environment than by using conventional interfaces like a computer mouse or a touch screen. The researchers say they hope the system will help researchers working on drug development, synthetic biology, and catalyst design. Try your own molecular simulation at isci.itch.io/nsb-imd. Read more: Sampling molecular conformations and dynamics in a multiuser virtual reality framework | Science Advances http://advances.sciencemag.org/content/4/6/eaat2731 Will chemists tilt their heads for virtual reality? | C&EN https://cen.acs.org/articles/94/i14/chemists-tilt-heads-virtual-reality.htmlh Music: “Constructivism” by A. A. Aalto Licensed under CC BY-NC 3.0 This video is a production of Chemical & Engineering News (C&EN), the weekly newsmagazine of the American Chemical Society. Contact us at [email protected]!
Views: 962 CEN Online
Modeling Time-Series Forecasts with @RISK: Full Length Video Webinar
 
01:30:55
Eric Torkia, the analytics practice lead at Technology Partnerz presents a comprehensive overview of timeseries forecasting with Palisade @Risk's Monte Carlo simulation for Microsoft Excel. Topics will include: The envelope method for modeling risk over time Curve Fitting Modeling Expert Opinion using a Power Curve Envelop Method Time-Phased Decision Trees Calculating Expanded NPV Participant Question & Answers For more information and articles, please visit http://www.crystalballservices.com/Resources/ConsultantsC...
Views: 9938 TechnologyPartnerz
How To Pick the Right Modeling Software // 3D Printing Software
 
07:58
Do you need 3D modeling software for organic, freehand designs, or do you need precision design capabilities for engineering applications? Alec is here to go over options for 3D modeling software - a crucial component of designing and preparing your 3D prints. Check it out! Read the in-depth modeling software article here: https://www.matterhackers.com/articles/finding-the-right-3d-modeling-software-for-you?rcode=YTUBE Learn more about our very own modeling software, MatterControl 2.0 here: https://www.matterhackers.com/store/l/mattercontrol/sk/MKZGTDW6?rcode=YTUBE Explore MatterHackers: https://www.matterhackers.com?rcode=YTUBE Want to see more 3D printing & making awesomeness? Subscribe to our channel and turn on the notifications to get the latest and greatest 3D printing information delivered right to your flippin' inbox!
Views: 42285 MatterHackers
Reflections on System Dynamics and Strategy
 
01:00:46
What is the relationship between system dynamics and strategy? This question has occupied much of my career. I review some personal milestones that have brought me to my current view of the complementarities and differences between business dynamics (the branch of system dynamics for modelling firms and industries) and contemporary strategy. John Morecroft is Senior Fellow in Management Science and Operations at London Business School where he teaches system dynamics, problem structuring and strategy in MBA, PhD and Executive Education programs. He has served as Associate Dean of the Schools Executive MBA and co-designed EMBA-Global, a dual degree program with New Yorks Columbia Business School. He is a leading expert in strategic modeling and system dynamics and has written numerous papers and journal articles. He has co-edited three books and written a system dynamics textbook Strategic Modeling and Business Dynamics (Wiley 2007). He is a recipient of the Jay Wright Forrester Award of the System Dynamics Society and a Past President of the Society. His research interests include the dynamics of firm performance and the use of models and simulation in strategy development. He has led applied research projects for international organizations including Royal Dutch/Shell, AT&T, BBC World Service, Cummins Engine Company, Harley-Davidson, Ericsson, McKinsey & Co and Mars. Before joining London Business School he was on the faculty of MITs Sloan School of Management where he received his PhD. He also holds degrees from Imperial College London and from Bristol University.
Views: 23054 WPI
International Journal of Modelling, Simulation and Applications (IJMSA)
 
00:11
International Journal of Modelling, Simulation and Applications (IJMSA) http://airccse.com/ijmas/index.html Call for paper International Journal of Modeling, Simulation and Applications invites original papers in the research areas of modeling and simulations of various aspects of devices, analysis and implementation in digital and analog circuit applications. Prediction and optimization through modelling forms the basis of engineering design. A brief communication for rapid publication of short articles announcing significant and original results are also invited. Research areas suitable for publication in this journal include, but are not limited to the following fields • Design and Simulation of Devices and Circuits • Modelling of Solid State Devices • Organic/Polymer Electronics • Pre- and Post-Fabrication/Processing of Data Analysis • Modelling and Simulation of FinFETs, MOSFETs, CMOS, Tunnel-FETs • Silicon Nanowires • Simulation of Dual gate, Vertical Channel and Cylindrical Gate MOSFET/OTFTs • Modelling of Circuit Networks, Analogue and Digital Circuits • Modelling and Simulation p and n-Channel Organic Thin Film Transistors (OTFTs) • Modelling and Simulation p and n-Polymer Thin Film Transistors (PTFTs) • Modelling and Simulation Thin Film Transistors (TFTs) • Modelling and Simulation Organic Novel Device Structures • Modelling and Simulation of Novel Circuits • Analytical Models for Organic Devices • Mixed Mode Circuit Simulations • Optimization of Device Performance Parameters • Modelling and Simulation of Organic Light Emitting Diodes (OLEDs) • Modelling and Simulation of Organic Solar Cells • Novel Optoelectronic Devices • Organic Device Applications • Organic Electronic Emerging Technologies • Modelling and Simulations Device Circuit Co-design • Physics and Modeling of Submicron and Nanoscale Microelectronic and Optoelectronic Devices Including Processing, Measurement, and Performance evaluation • Applications of Numerical Methods to the Modeling and Simulation of Devices and Processes • Nanoscale Electronic and Optoelectronic Devices • Photovoltaics and Sensors System Design • Mathematical Models of Novel Electronic Device Structures Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] or Submission. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates • Submission Deadline : December 08, 2018 • Notification : January 08, 2019 • Final manuscript Due : January 16, 2019 • Publication Date : Determined by the Editor-in-Chief For other details please visit: http://airccse.com/ijmas/index.html
Views: 2 IJMSA journal
Opengl water wave modeling
 
00:46
Water wave modeling with opengl simulation. The project itself was taken from this web site: http://www.gamedev.ru/code/articles/?id=4205 I have downloaded it and changed the part of code related to numerical solution of the waves. The part of code related to opengl was not changed.
Views: 3747 rabosaification
Simulations Plus News & Events January 2018
 
01:28
Last year was a memorable one, we held PBPK modeling and simulation & Pop PK Data Analyses workshops around the world, we added Quantitative Systems Pharmacology, through our DILIsym acquisition, to our offerings, and we released the most comprehensive versions of GastroPlus, ADMET Predictor, and MembranePlus to date. All while maintaining the same friendly customer support you know and love, as well as advancing understanding of modeling & simulation globally through journal articles, collaborative research, and scientific conferences. Registration is now open for our March workshops in San Diego, CA and Mainz, Germany. We have a course to help you whether you’re a new or advanced user of GastroPlus. San Diego will also host our first 3-day DILIsym training workshop, where attendees will gain valuable knowledge in Quantitative Systems Toxicology with DILIsym software.Make sure to also stay tuned for new PK plus and KIWI product releases. Visit us online for more on the latest in modeling and simulation solutions: http://www.simulations-plus.com/ Follow us on our socials: https://www.facebook.com/SimulationsPlus https://twitter.com/SimulationsPlus https://www.linkedin.com/company/95827
Introduction to System Dynamics: Overview
 
16:36
MIT 15.871 Introduction to System Dynamics, Fall 2013 View the complete course: http://ocw.mit.edu/15-871F13 Instructor: John Sterman Professor John Sterman introduces system dynamics and talks about the course. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 135180 MIT OpenCourseWare
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
 
00:11
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) http://airccse.org/journal/ijccms/index.html ISSN : 2319 - 5398 [Online] ; 2319 - 8990 [Print]. Aims and Scope: The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. Control methods are very useful in several applied areas like Chaos, Automation, Communication, Robotics, Power Systems, and Biomedical Instrumentation. The journal focuses on all technical and practical aspects of Chaos, Control, Modelling and Simulation. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on chaotic systems and applications, control theory, process control, automation, modelling concepts, computational methods, computer simulation and establishing new collaborations in these areas.. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Chaos Theory, Control Systems, Modelling and Simulation Techniques. Areas and subareas of interest include (but are not limited to): Adaptive control Advanced chaos theory Advanced computing techniques Algorithms, modelling and simulation Applications of chaos in science and engineering Artificial intelligence Artificial neural networks Automation and mobile robots Bioinformatics Biological modelling Biological systems and models Chaotic systems Chaos modelling Circuit realization of chaotic systems Control of chaotic systems Cloud computing Communication engineering Computational biology Computational fluid dynamics Computer science Control devices & instruments Control theory Data mining Data Structures and Algorithms Scientific computing Secure communication devices Stochastic modelling and control Data visualization Digital control Digital image processing Digital signal processing Dynamical systems and stability theory Embedded systems and control Evolutionary techniques in engineering Flight control and surveillance systems Fuzzy logic control Genetic algorithms and applications Hyperchaotic systems Industrial applications of control Intelligent systems Information theory Linear and nonlinear programming Linear control theory Materials science Mathematical control theory Mathematical modelling and applications Measurement systems Modelling and control Nonlinear control theory Numerical methods in control systems Optimization and optimal control Parallel computing Process control and automation Real-time systems Real and complex analysis Robust control Soft computing techniques Paper Submission Authors are invited to submit papers for this journal through E-mail: [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/ijccms/index.html
Views: 30 Lauren Riley
International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)
 
00:26
The International Journal of Chaos, Control, Modelling and Simulation is a bi-monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Chaos Theory, Control Systems, Scientific Modelling and Computer Simulation. In the last few decades, chaos theory has found important applications in secure communication devices and secure data encryption. http://airccse.org/journal/ijccms/index.html
Views: 44 IJNGN
Blender 2.8 - Eevee Cloth Simulation - [ Complete Start to End Tutorial ]
 
37:27
In this video tutorial I will show you how to create a cloth simulation using Blender 2.8 - Eevee. We will create a text object and floor, these 2 objects will be set as collisions which the cloth material will interactive within the simulation. We will also create bones which will be used to pull the cloth material. Font: https://www.1001fonts.com/free-fonts-for-commercial-use.html HDRI Lighting: https://hdrihaven.com/hdri/?h=aft_lounge Blender 2.8 Beginners Tutorial Part 1: https://www.youtube.com/watch?v=Fv39HObo3UI Other Blender 2.8 Beginner Tutorials: https://www.youtube.com/playlist?list=PLRpn_0jbcintr_4A6VVNdqAOO0W7k9LtW Subscribe to access 180+ video tutorials: https://www.youtube.com/dcpwebdesigners #Blender #3D #Tutorial #Cloth #dcpweb Free tutorials, infographics, articles: https://www.dcpweb.co.uk/blog blender 2.8, blender, 2.8, blender 2.8 tutorial, blender 2.80, blender 3d, blender 2.8 eevee, Eevee Cloth Simulation, Eevee Cloth Simulation Beginners Tutorial
Views: 1223 DCP Web Designers
Cluster-based reduced-order modeling (CROM)
 
20:23
This video illustrates a new approach for extracting principal mechanisms directly from data. The model is based on a discretization of the Liouville equation and represents the nonlinear dynamics in a linear, probabilistic framework. Results are demonstrated for high-dimensional fluid flows governed by few dominant frequencies and broadband frequency characteristics, respectively. Cluster-based reduced-order modeling of a mixing layer http://eurika-kaiser.com/ressources/Articles/Kaiser2014jfm.pdf DOI: https://doi.org/10.1017/jfm.2014.355 Eurika Kaiser, Bernd Noack, Laurent Cordier, Andreas Spohn, Marc Segond, Markus Abel, Guillaume Daviller, Jan Östh, Sinisa Kranovic and Robert Niven Code available at: https://github.com/eurika-kaiser/matCROM Steve Brunton's talk on Hankel Alternative View Of Koopman (HAVOK) analysis: https://youtu.be/831Ell3QNck Gary Froyland's webpage with tutorials and code for transfer operator computations: http://web.maths.unsw.edu.au/~froyland/banff_tutorial.html
Views: 457 Eurika Kaiser
Social network simulator
 
04:26
A social network simulator. Each node in the network represents a user who has characteristics such as friendliness, chattiness and category (the subject area they're most interested in). More details at http://animateddata.co.uk/articles/socialnetworksimulator
Views: 1430 Peter Cook
International Journal of Information Technology, Modeling and Computing (IJITMC)
 
00:26
The International Journal of Information Technology, Modeling and Computing (IJITMC) is an open access peer-reviewed journal that publishes articles which contribute new results in all areas of Information Technology, Modeling and Computing. With the advances of Information Technology, there is an active multi-disciplinary research in the areas of IT, CSE, Modeling and Simulation with numerous applications in various fields. The International Journal of Information Technology, Modeling and Computing (IJITMC) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from IT, Modeling, CSE and Control Engineering with some emphasis on all areas and subareas of computer science, IT, scientific modeling, simulation, visualization and control systems and their broad range of applications.
Views: 18 AIRCC
Computational modeling | Wikipedia audio article
 
30:05
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Computer_simulation 00:02:08 1 Simulation versus model 00:02:48 2 History 00:03:38 3 Data preparation 00:06:28 4 Types 00:10:41 5 Visualization 00:12:28 6 Computer simulation in science 00:16:33 6.1 Simulation environments for physics and engineering 00:17:10 6.2 Simulation environments for linguistics 00:17:52 7 Computer simulation in practical contexts 00:22:17 8 Pitfalls 00:23:08 8.1 Model calibration techniques 00:29:38 9 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.9589575307108009 Voice name: en-US-Wavenet-D "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Computer simulation is the reproduction of the behavior of a system using a computer to simulate the outcomes of a mathematical model associated with said system. Since they allow to check the reliability of chosen mathematical models, computer simulations have become a useful tool for the mathematical modeling of many natural systems in physics (computational physics), astrophysics, climatology, chemistry, biology and manufacturing, human systems in economics, psychology, social science, health care and engineering. Simulation of a system is represented as the running of the system's model. It can be used to explore and gain new insights into new technology and to estimate the performance of systems too complex for analytical solutions.Computer simulations are realized by running computer programs that can be either small, running almost instantly on small devices, or large-scale programs that run for hours or days on network-based groups of computers. The scale of events being simulated by computer simulations has far exceeded anything possible (or perhaps even imaginable) using traditional paper-and-pencil mathematical modeling. Over 10 years ago, a desert-battle simulation of one force invading another involved the modeling of 66,239 tanks, trucks and other vehicles on simulated terrain around Kuwait, using multiple supercomputers in the DoD High Performance Computer Modernization Program. Other examples include a 1-billion-atom model of material deformation; a 2.64-million-atom model of the complex protein-producing organelle of all living organisms, the ribosome, in 2005; a complete simulation of the life cycle of Mycoplasma genitalium in 2012; and the Blue Brain project at EPFL (Switzerland), begun in May 2005 to create the first computer simulation of the entire human brain, right down to the molecular level.Because of the computational cost of simulation, computer experiments are used to perform inference such as uncertainty quantification.
Views: 3 wikipedia tts
Modeling Science:  Dynamic Topic Models of Scholarly Research
 
01:09:04
Google Tech Talks May 24, 2007 ABSTRACT A surge of recent research in machine learning and statistics has developed new techniques for finding patterns of words in document collections using hierarchical probabilistic models. These models are called "topic models" because the word patterns often reflect the underlying topics that are combined to form the documents; however topic models also naturally apply to such data as images and biological sequences. While previous topic models have assumed that the corpus is static, many document collections actually change over time: scientific articles, emails, and search queries reflect evolving content, and it is important to model the corresponding evolution of the underlying topics. For example, an article about biology in 1885 will exhibit significantly different word frequencies than one in 2005. After reviewing the basics of topic models, I will describe probabilistic models designed to capture the dynamics of topics as they evolve over time. In addition to giving quantitative, predictive models of a corpus, topic models provide a qualitative window into the structure of a large document collection. This perspective allows a user to explore a corpus in a topic-guided fashion. We demonstrate the capabilities of the dynamic topic model on the archives of the journal Science, founded in 1880 by Thomas Edison. Our models are built on the noisy text from JSTOR, an online scholarly journal archive, resulting from an optical character recognition engine run over the original bound journals. (joint work with J. Lafferty) Speaker: David Blei, Princeton University g Speaker: David Blei
Views: 15146 GoogleTalksArchive
Estimating a P-value from a simulation | AP Statistics | Khan Academy
 
04:45
Example of estimating a P-value based on a simulation to approximate a sampling distribution assuming the null hypothesis is true. View more lessons or practice this subject at http://www.khanacademy.org/math/ap-statistics/tests-significance-ap/idea-significance-tests/v/estimating-p-value-from-simulation?utm_source=youtube&utm_medium=desc&utm_campaign=apstatistics AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics. Khan Academy is a nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. We offer quizzes, questions, instructional videos, and articles on a range of academic subjects, including math, biology, chemistry, physics, history, economics, finance, grammar, preschool learning, and more. We provide teachers with tools and data so they can help their students develop the skills, habits, and mindsets for success in school and beyond. Khan Academy has been translated into dozens of languages, and 15 million people around the globe learn on Khan Academy every month. As a 501(c)(3) nonprofit organization, we would love your help! Donate or volunteer today! Donate here: https://www.khanacademy.org/donate?utm_source=youtube&utm_medium=desc Volunteer here: https://www.khanacademy.org/contribute?utm_source=youtube&utm_medium=desc
Views: 24344 Khan Academy
Lecture - 8 Systems Modelling Overview
 
59:38
Lecture Series on Software Engineering by Prof.N.L. Sarda, Prof. Umesh Bellur,Prof.R.K.Joshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 68084 nptelhrd
Blender Beginner Tutorial - Part 5: Modelling
 
44:34
Blender beginner tutorial on modelling a cup! Get the Keyboard Shortcut PDF: https://mailchi.mp/ef5b15a32043/subscribe-to-the-newsletter Watch Part 4: https://youtu.be/f5Gb1VK98Wc?list=PLjEaoINr3zgHs8uzT3yqe4iHGfkCmMJ0P Watch Part 6: https://youtu.be/izqZe8s_Jmw?list=PLjEaoINr3zgHs8uzT3yqe4iHGfkCmMJ0P
Views: 1032925 Blender Guru
Blender Beginner Tutorial - Part 1: User Interface
 
16:04
Blender tutorial for complete beginners! How to use the most common functionality of Blender: Modelling, Materials, Lighting Watch Part 2: https://youtu.be/s05DiCEDVGE?list=PLjEaoINr3zgHs8uzT3yqe4iHGfkCmMJ0P Get the Blender Keyboard Shortcut PDF: https://mailchi.mp/ef5b15a32043/subscribe-to-the-newsletter
Views: 2737522 Blender Guru
Electronic circuit simulation | Wikipedia audio article
 
07:08
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Electronic_circuit_simulation 00:02:19 1 Types 00:05:14 2 Complexities 00:05:48 3 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.829168552834368 Voice name: en-GB-Wavenet-B "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Electronic circuit simulation uses mathematical models to replicate the behavior of an actual electronic device or circuit. Simulation software allows for modeling of circuit operation and is an invaluable analysis tool. Due to its highly accurate modeling capability, many colleges and universities use this type of software for the teaching of electronics technician and electronics engineering programs. Electronics simulation software engages the user by integrating him or her into the learning experience. These kinds of interactions actively engage learners to analyze, synthesize, organize, and evaluate content and result in learners constructing their own knowledge.Simulating a circuit’s behavior before actually building it can greatly improve design efficiency by making faulty designs known as such, and providing insight into the behavior of electronics circuit designs. In particular, for integrated circuits, the tooling (photomasks) is expensive, breadboards are impractical, and probing the behavior of internal signals is extremely difficult. Therefore, almost all IC design relies heavily on simulation. The most well known analog simulator is SPICE. Probably the best known digital simulators are those based on Verilog and VHDL. Some electronics simulators integrate a schematic editor, a simulation engine, and on-screen waveform display (see Figure 1), allowing designers to rapidly modify a simulated circuit and see what effect the changes have on the output. They also typically contain extensive model and device libraries. These models typically include IC specific transistor models such as BSIM, generic components such as resistors, capacitors, inductors and transformers, user defined models (such as controlled current and voltage sources, or models in Verilog-A or VHDL-AMS). Printed circuit board (PCB) design requires specific models as well, such as transmission lines for the traces and IBIS models for driving and receiving electronics.
Views: 6 wikipedia tts
3. Systems Modeling Languages
 
01:41:38
MIT 16.842 Fundamentals of Systems Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/16-842F15 Instructor: Olivier de Weck This lecture covered a lot of ground on various systems modeing languages used in a design process. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 12823 MIT OpenCourseWare
Michele Fumarola, Senior Consultant at Macomi Systems Simulation
 
05:16
The PERFORMANCE Management team was present at the Supply Chain Analytics conference from Amsterdam, between 3 – 5 June, 2015. Consequently, the insights gathered from experts present at the event had been gathered and exposed here, in a series of interviews and articles. Read more details here: http://www.performancemagazine.org/on-supply-chain-simulation-models-with-michele-fumarola/
Views: 263 The KPI Institute
Blender 2.8 - Eevee - Dissolve 3D Text Animation - [ Particle Simulation Start to End Tutorial ]
 
52:02
In this video tutorial I will show you how create a Dissolve effect on 3D text using Blender 2.8 Particle Simulation. First we will create the 3D text and apply a material. We will then use the Particle simulation to mask the text and use Force Fields to specify the direction of particles in the animation sequence. Download Font: https://www.1001fonts.com/free-fonts-for-commercial-use.html?page=3&items=10 Downnload Material:https://www.cgbookcase.com/textures/brushed-iron-02 Download HDRI: https://hdrihaven.com/hdri/download.php?h=shanghai_bund&r=4k Blender Beginners Tuutorial: https://youtu.be/Fv39HObo3UI Other Blender 2.8 Beginner Tutorials: https://www.youtube.com/playlist?list=PLRpn_0jbcintr_4A6VVNdqAOO0W7k9LtW Subscribe to access 250+ video tutorials: https://www.youtube.com/dcpwebdesigners #Blender #TextAnimation #Tutorial #dcpweb Free tutorials, infographics, articles: https://www.dcpweb.co.uk/blog blender 2.8, Blender, Blender Animation Tutorial, Blender 2.8 Beginners Tutorial, 3D Text, Blender Particle Simulation, Blender Dissolve Text Animation
Views: 3318 DCP Web Designers
International Journal of Information Technology, Modeling and Computing (IJITMC)
 
00:19
Call for papers :- =========== The International Journal of Information Technology, Modeling and Computing (IJITMC) is an open access peer-reviewed journal that publishes articles which contribute new results in all areas of Information Technology, Modeling and Computing. With the advances of Information Technology, there is an active multi-disciplinary research in the areas of IT, CSE, Modeling and Simulation with numerous applications in various fields. The International Journal of Information Technology, Modeling and Computing (IJITMC) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from IT, Modeling, CSE and Control Engineering with some emphasis on all areas and subareas of computer science, IT, scientific modeling, simulation, visualization and control systems and their broad range of applications. Areas and subareas of interest include (but are not limited to): Advanced computing techniques Algorithm and analysis Automation Bio-informatics Bio-modeling and applications Chaos theory and control Compression techniques Computer graphics Computer vision Control applications Control theory Cryptography and applications Data encryption Data Mining Digital image processing Digital signal processing Evolutionary algorithms Filtering Flight control and surveillance systems Fuzzy logic and control Genetic algorithms and applications Guidance control systems Image processing Industrial applications Information networking Intelligent and natural computing Intelligent systems Mathematical control theory Modeling and visualization Multimedia computing Multimedia systems Networks and Computing Neural networks Nonlinear control systems Navigation Pattern recognition Process control and instrumentation Robotics and applications Robust control Secure communication Secure systems Scientific and engineering modeling Signal processing Soft computing techniques in control Stochastic control and filtering theory System Science and Engineering System identification and modeling Systems and automation System modeling and control Paper Submission ============= Authors are invited to submit papers for this journal through E-mail: [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.
RMI's Building Energy Modeling Innovation Summit
 
02:28
RMI's Ellen Franconi explains what energy modeling is, where the market is heading, and the importance of RMI's BEM Innovation Summit.
Spatial Vizulization of SWAT Data | SWAT Model
 
04:32
SWAT (Soil & Water Assessment Tool) is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT is a public domain software enabled model actively supported by the USDA Agricultural Research Service at the Blackland Research & Extension Center in Temple, Texas, USA. It is a hydrology model with the following components: weather, surface runoff, return flow, percolation, evapotranspiration, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading, and water transfer. SWAT can be considered a watershed hydrological transport model. This model is used worldwide and is continuously under development. As of July 2012, more than 1000 peer-reviewed articles have been published that document its various applications. Please Like and Subscribe our Channel for more educational videos
Zero Power Reactor simulation
 
01:12
Ever wanted to see a nuclear reactor core in action? Here's a detailed simulation of the Zero Power Reactor experiment, run by Argonne's unique "UNIC" code. Here, we use VisIt to visualize a numerical model of the ZPR-6 Assembly 6a experiment simulated using the Argonne UNIC code. 0:00-0:06: The fuel and other plates are dropped into an example drawer, and the drawer is inserted into the matrix tube. 0:06-0:21: The two matrix halves are brought together to make a critical (self-sustaining) assembly. 0:21-0:35: The fission power is revealed to be centralized in the thin, enriched Uranium plates. 0:35-0:53: Returning to our example drawer, we show the detailed local plate powers and their relation to the drawer composition. 0:53-1:11: Our model shows that each plate can have widely-varying local changes in the space and energy neutron densities. Read more at http://www.anl.gov/articles/using-supercomputers-explore-nuclear-energy
Vorton Combustion
 
00:25
Fluid simulation for video games: Real-time vortex fluid simulation of combustion. There is only one particle system in this demo: Each particle has fuel, flame and smoke components. This video does NOT separately model fuel, flame and smoke systems; they are all unified. The rendering is straightforward old-fashioned fixed-function rendering: no shaders. This demo spends more than half of its time rendering, because so much is done on the CPU. With programmable shaders, the rendering could be cut down to probably 1/4th (or less) of its current time, and it would look better too. But, these demos focus on the simulation, not rendering. See http://software.intel.com/en-us/articles/fluid-simulation-for-video-games-part-11/ for explanation and source code. See http://mijagourlay.com/ for more information. Note that a combustion scientist would consider this model to be laughably simplistic and entirely lacking in scientific and engineering merit. And, for their purposes, I completely agree. This model is meant for visual effects in interactive simulation, only. Here, speed always wins over accuracy, and I've taken drastic liberties with this simulation to get it to run fast. So, please do not confuse this demo for an attempt at anything other than cheap eye candy. Update 2018 October 30: Red Giant adopted this fluid model into Trapcode Suite 15 (https://youtu.be/5gZDfPyhrNQ) Particular 4 (https://youtu.be/Plrwdd4D01g) and Form 4 (https://youtu.be/rTb2ZUxx2Gs) products for Adobe After Effects. Try it!
Views: 3239 Michael Gourlay
Social network messaging simulation
 
03:59
A social network simulator. Each node in the network represents a user who has characteristics such as friendliness, chattiness and category (the subject area they're most interested in). Users can send out messages and their friends may choose to repeat the message. Eventually we see messages going viral... More details at http://animateddata.co.uk/articles/socialnetworksimulator
Views: 1300 Peter Cook
Improve Engineering Value:  Extract the Most from Engineering Simulations
 
12:37
We all want to feel good about paying for engineering analysis. Sometimes the best answer drives us to maximize value, rather than minimize cost. In those cases, you do better to go beyond basic safety and search for enhancements. Today we discuss four engineering tasks where you can maximize your value. Extract every last drop of knowledge from your engineering project. View more tips and helpful articles at https://www.dmsonline.us/ References [1] American Bureau of Shipping, "ABS and Crowley Pilot Validates 3D Modeling Techniques to Meet Class Requirements," American Bureau of Shipping, 2018 23 Aug. [Online]. Available: https://ww2.eagle.org/en/news/press-room/abs-and-crowley-pilot-validates-3d-techniques-to-meet-class-requirements.html. [Accessed 22 Oct 2018]. [2] VesselView, "Vessel View - 3D Animation Studio - Yacht 3D Trailer," YouTube, 10 Oct. 2011. [Online]. Available: https://www.youtube.com/watch?v=Os9zYb18QoU. [Accessed 29 Oct 2018]. [3] Wikipedia Authors, "CFD Simulation Showing Vorticity Isosurfaces Behind Propeller," Wikimedia Commons, 22 May 2011. [Online]. Available: https://commons.wikimedia.org/wiki/File:CFD_simulation_showing_vorticity_isosurfaces_behind_propeller.png. [Accessed 29 Oct 2018]. [4] Vard Marine, "Finite Element Analysis," Vard Marine, 2018. [Online]. Available: https://vardmarine.com/vessel-design-process/advanced-analysis/fea/. [Accessed 29 Oct 2018].
Supercomputer Simulation of NASA's Orion Launch Abort Vehicle
 
00:31
Launch is one of the most complex parts of flight -- and one of the most likely places for something to go wrong. At NASA's Ames Research Center in California's Silicon Valley, researchers are producing highly detailed simulations and visualizations to help keep astronauts safe during the dynamic liftoff conditions of NASA's Orion spacecraft. This simulation, run on NASA's Pleiades supercomputer, shows an ascent abort scenario that is triggered as the vehicle is traveling at close to the speed of sound. The video starts at abort initiation with motor ignition. Colored plumes indicate high pressure (red) and low pressure (blue). Each pixel changing from blue to red (and vice versa) over time is related to pressure waves that cause vibrations on the vehicle (white). The video slows down when the pressure and air flow conditions are particularly harsh. Regions where the color changes abruptly in space, but stays constant in time, indicate the presence of shock waves. Video credit: NASA/Ames Research Center/T. Sandstrom Learn more: https://www.nas.nasa.gov/publications/articles/feature_Orion_acoustics_Cadieux.html https://www.nasa.gov/ames/image-feature/launch-abort-what-happens-next-nasa-scientists-figure-out-the-flow-to-keep-astronauts-safe NASA's Ames Research Center is located in California's Silicon Valley. Follow us on social media to hear about the latest developments in space, science, technology and aeronautics. Facebook https://www.facebook.com/nasaames/ Twitter https://twitter.com/NASAAmes Instagram https://www.instagram.com/nasaames/
ArcSWAT Model Tutorials 1 of 3
 
14:39
SWAT (Soil & Water Assessment Tool) is a river basin scale model developed to quantify the impact of land management practices in large, complex watersheds. SWAT is a public domain software enabled model actively supported by the USDA Agricultural Research Service at the Blackland Research & Extension Center in Temple, Texas, USA. It is a hydrology model with the following components: weather, surface runoff, return flow, percolation, evapotranspiration, transmission losses, pond and reservoir storage, crop growth and irrigation, groundwater flow, reach routing, nutrient and pesticide loading, and water transfer. SWAT can be considered a watershed hydrological transport model. This model is used worldwide and is continuously under development. As of July 2012, more than 1000 peer-reviewed articles have been published that document its various applications.
Science: Powered by HUBzero
 
02:45
Imagine an "app store" for scientists, engineers, and educators filled with simulation and modeling tools; not simple Java applets, but real research codes that tackle difficult problems and may require substantial computing power drawn from the cloud. Imagine a new way of publishing scientific work that involves not just articles about those tools, but the tools themselves, online and accessible to the world through an ordinary Web browser. Imagine an array of databases at your fingertips, with information that is easy to search, sort, and filter. That dream has become a reality for a wide variety of topics, including nanotechnology, healthcare, pharmaceuticals, earthquake engineering, volcanic activity, and environmental modeling. Each of those areas has used an open source software package called the HUBzero Platform for Scientific Collaboration to create an online collaboratory called a "hub" for their community. Each hub contains an electronic library of simulation tools, along with data sets, seminars, tutorials, and teaching materials contributed by the community. So far, there are 40 such hubs in operation, and all together, they have served more 600,000 visitors from 172 countries worldwide during the past 12 months. That number continues to grow. Create your own hub! Get started at http://hubzero.org
Views: 3984 Purdue University
Modeling Time-Series Forecasts with @RISK: Part 2 - Data Driven Methods
 
23:53
Eric Torkia, the analytics practice lead at Technology Partnerz presents a comprehensive overview of timeseries forecasting with Palisade @Risk's Monte Carlo simulation for Microsoft Excel. Topics will include: Linear Regression and Curve Fitting Autoregressive models Random Walks Trend Charts Real Options Moving Averages For more information and articles, please visit http://www.crystalballservices.com/Resources/ConsultantsCornerBlog.aspx
Views: 2247 TechnologyPartnerz
Endogenous Biomarkers of Membrane Transporters and Model Based Prediction of Clinic
 
01:01:24
Speakers: Kenta Yoshida, PhD and Xinning Yang, PhD Moderator: Ping Zhao, PhD Description: CPT: Pharmacometrics & Systems Pharmacology (PSP) and the ASCPT Journal Family are pleased to present this webinar to update attendees on using modeling and simulation (M&S) methods to predict clinical drug-drug interactions (DDIs) based on endogenous biomarker data for membrane transporters. Kenta Yoshida, PhD, Genentech, will review the recent PSP articles, Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics by Yoshida, et al. and PBPK Modeling of Coproporphyrin I as an Endogenous Biomarker for Drug Interactions Involving Inhibition of Hepatic OATP1B1 and OATP1B3 by Yoshikado, et al. Following the presentation, Dr. Yoshida will be joined by Xinning Yang, PhD, US Food and Drug Administration, for a discussion on regulatory perspectives of using biomarker data to guide DDI strategy in general, and the readiness of updating regulatory recommendations on using M&S and biomarker data to predict transporter-based DDIs.
Views: 69 ASCPT Alexandria
Modelling biological systems | Wikipedia audio article
 
12:07
This is an audio version of the Wikipedia Article: https://en.wikipedia.org/wiki/Modelling_biological_systems 00:02:04 1 Standards 00:02:50 2 Particular tasks 00:03:00 2.1 Cellular model 00:04:40 2.2 Multi-cellular organism simulation 00:05:11 2.3 Protein folding 00:06:04 2.4 Human biological systems 00:06:15 2.4.1 Brain model 00:07:52 2.4.2 Model of the immune system 00:08:11 2.4.3 Virtual liver 00:08:44 2.5 Tree model 00:09:31 2.6 Ecological models 00:10:09 2.7 Models in ecotoxicology 00:10:59 2.8 Modelling of infectious disease 00:11:36 3 See also Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago. Learning by listening is a great way to: - increases imagination and understanding - improves your listening skills - improves your own spoken accent - learn while on the move - reduce eye strain Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone. Listen on Google Assistant through Extra Audio: https://assistant.google.com/services/invoke/uid/0000001a130b3f91 Other Wikipedia audio articles at: https://www.youtube.com/results?search_query=wikipedia+tts Upload your own Wikipedia articles through: https://github.com/nodef/wikipedia-tts Speaking Rate: 0.7408144631472072 Voice name: en-GB-Wavenet-A "I cannot teach anybody anything, I can only make them think." - Socrates SUMMARY ======= Modelling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems (such as the networks of metabolites and enzymes which comprise metabolism, signal transduction pathways and gene regulatory networks), to both analyze and visualize the complex connections of these cellular processes.Artificial life or virtual evolution attempts to understand evolutionary processes via the computer simulation of simple (artificial) life forms. An unexpected emergent property of a complex system may be a result of the interplay of the cause-and-effect among simpler, integrated parts (see biological organisation). Biological systems manifest many important examples of emergent properties in the complex interplay of components. Traditional study of biological systems requires reductive methods in which quantities of data are gathered by category, such as concentration over time in response to a certain stimulus. Computers are critical to analysis and modelling of these data. The goal is to create accurate real-time models of a system's response to environmental and internal stimuli, such as a model of a cancer cell in order to find weaknesses in its signalling pathways, or modelling of ion channel mutations to see effects on cardiomyocytes and in turn, the function of a beating heart.
Views: 5 wikipedia tts
Abaqus: Rolling Contact Fatigue Modeling
 
00:22
NOTE: Watch this video at a lower speed. This video shows the localized, elastic-plastic, subsurface von-Mises stress-fields during rolling contact fatigue (RCF) phenomenon. Such Hertzian contact stresses are induced when two machine components come in contact during load transfer. These are responsible for failure of bearings, rail wheels, gears etc. It can be observed in this video that only small area near the contact region is subjected to severe stresses and possible local yielding while remaining area experiences lower stresses. It is well-known that failure (crack) initiates in this small region. More information about this model and such failures can be obtained from following articles: 1. http://dx.doi.org/10.1016/j.ijfatigue.2014.01.029 2. http://dx.doi.org/10.1016/j.ijfatigue.2014.12.002
Views: 4259 Anup Pandkar
Engineered Arts Ltd. Prototype Leg - Single Hopper Simulation
 
00:19
For more information, visit us at: http://www.maplesoft.com/company/publications/articles/view.aspx?SID=141193&ref=youtube http://www.robothespian.co.uk/ The animation of a single leg hopping, generated in MapleSim 6. The model is very complex with 7 inter-dependant muscles being controlled to produce the hopping motion.
Views: 768 Maplesoft
Measuring and Incorporating Subject Specific Muscle Parameters in Post-Stroke Gait Simulations
 
52:07
Jill Higginson, Brian Knarr, and John Ramsay of the University of Delaware discuss the integration of experimental and imaging data from stroke survivors into an OpenSim model and the resulting impact on the simulations. Individuals post-stroke often experience abnormal timing and magnitude of muscle activation as well as altered muscle force generating capacity. When generating musculoskeletal models of post-stroke individuals, it is necessary to determine whether the inclusion of subject-specific properties will have a meaningful influence on model results when compared to generic muscle properties. In this webinar, we will discuss our use of experimental and imaging data to guide the development of subject-specific simulations. In particular, we will describe our processes for evaluating the maximum isometric force and volitional activation of major muscle groups of the lower limb in stroke survivors and our process of integrating this data into OpenSim models. We have found that inclusion of subject-specific muscle data when modeling post-stroke gait results in appreciable changes in the model predicted force and activation. Importantly, the observed changes in model results agree with commonly observed compensation patterns in stroke survivors, including increased hip and knee flexor activity and decreased plantar flexor and dorsiflexor activity. Ultimately we hope to use the inclusion of subject-specific data into musculoskeletal models to improve the relevance of our modeling results and enhance the design and outcomes of future rehabilitation. To learn more, see the following articles: "Paretic muscle atrophy and non-contractile tissue content in individual muscles of the post-stroke lower extremity," J Biomech, Nov 10, 2011, 44(16):2741-2746. (http://www.ncbi.nlm.nih.gov/pubmed/21945568) "Muscle volume as a predictor of maximum force generating ability in the plantar flexors post-stroke," Muscle Nerve, Mar 14, 2013 (http://www.ncbi.nlm.nih.gov/pubmed/23494851) "Using submaximal contractions to predict the maximum force-generating ability of muscles," Muscle Nerve, Jun 2012, 45(6):849-858. (http://www.ncbi.nlm.nih.gov/pubmed/22581539) "Validation of an adjustment equation for the burst superimposition technique in subjects post-stroke," Muscle Nerve, Aug 2012, 46(2): 267-269. (http://www.ncbi.nlm.nih.gov/pubmed/22806377)
Views: 609 OpenSimVideos
International Journal on Bioinformatics & Biosciences (IJBB)
 
00:07
International Journal on Bioinformatics & Biosciences (IJBB) ISSN :1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following Biomedical modeling and computer simulation Bioinformatics databases Bio-grid Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Parallel algorithms for biological analysis Parallel architectures for biological applications Phylogeny reconstruction algorithms Protein structure prediction Sequence assembly Sequence search and alignment Signaling and computation biomedical data engineering Simulated annealing Statistical analysis Stochastic grammars Support vector machines System biology DNA assembly, clustering, and mapping Telemedicine Computational genomics, Intelligence, proteomics, structural biology E-health Genetic algorithms Hidden Markov models Fuzzy logic Molecular evolution and phylogeny Molecular modeling and simulation Molecular sequence analysis High performance computing Neural networks Machine learning Data visualization
Views: 5 Ijics Journal