scholarly journals Melting ice with your mind: Dynamic representation of physical states

2021 ◽  
Vol 21 (9) ◽  
pp. 2699
Author(s):  
Alon Hafri ◽  
Tal Boger ◽  
Chaz Firestone
Keyword(s):  
Dynamic Representation

scholarly journals COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Ye Emma Zohner ◽  
Jeffrey S. Morris
Keyword(s):  
Web Application ◽  
The United States ◽  
Mitigation Strategies ◽  
Time Lags ◽  
Policy Makers ◽  
Major Health ◽  
Dynamic Representation ◽  
Graphical Displays ◽  
The Usa ◽  
User Friendly

Abstract Background The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. Findings COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. Conclusion The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe.

The dynamic representation of protection systems

2000 ◽  
Vol 22 (7) ◽  
pp. 487-496 ◽  
Author(s):  
M Tümay ◽  
J.R Smith ◽  
J.R McDonald ◽  
G Burt
Keyword(s):  
Dynamic Representation ◽  
Protection Systems

scholarly journals Multiple forms of dynamic representation

2004 ◽  
Vol 14 (3) ◽  
pp. 241-255 ◽  
Author(s):  
Shaaron Ainsworth ◽  
Nicolas VanLabeke
Keyword(s):  
Multiple Forms ◽  
Dynamic Representation

scholarly journals Flow Simulation Using Local Grid Refinements to Model Laminated Reservoirs

2018 ◽  
Vol 73 ◽  
pp. 5 ◽  
Author(s):  
Manuel Gomes Correia ◽  
Célio Maschio ◽  
Denis José Schiozer
Keyword(s):  
Simulation Model ◽  
Dynamic Properties ◽  
Flow Behavior ◽  
Flow Simulation ◽  
Coarse Grid ◽  
Thin Layers ◽  
Static Properties ◽  
Dynamic Representation ◽  
Medium Flow ◽  
Local Grid

Super-giant carbonate fields, such as Ghawar, in Saudi Arabia, and Lula, at the Brazilian pre-salt, show highly heterogeneous behavior that is linked to high permeability intervals in thin layers. This article applies Local Grid Refinements (LGR) integrated with upscaling procedures to improve the representation of highly laminated reservoirs in flow simulation by preserving the static properties and dynamic trends from geological model. This work was developed in five main steps: (1) define a conventional coarse grid, (2) define LGR in the conventional coarse grid according to super-k and well locations, (3) apply an upscaling procedure for all scenarios, (4) define LGR directly in the simulation model, without integrate geological trends in LGR and (5) compare the dynamic response for all cases. To check results and compare upscaling matches, was used the benchmark model UNISIM-II-R, a refined model based on a combination of Brazilian Pre-salt and Ghawar field information. The main results show that the upscaling of geological models for coarse grid with LGR in highly permeable thin layers provides a close dynamic representation of geological characterization compared to conventional coarse grid and LGR only near-wells. Pseudo-relative permeability curves should be considered for (a) conventional coarse grid or (b) LGR scenarios under dual-medium flow simulations as the upscaling of discrete fracture networks and dual-medium flow models presents several limitations. The conventional approach of LGR directly in simulation model, presents worse results than LGR integrated with upscaling procedures as the extrapolation of dynamic properties to the coarse block mismatch the dynamic behavior from geological characterization. This work suggests further improvements for results for upscaling procedures that mask the flow behavior in highly laminated reservoirs.

scholarly journals Object comparison in the lateral intraparietal area

2017 ◽  
Vol 118 (4) ◽  
pp. 2458-2469 ◽  
Author(s):  
Wei Song Ong ◽  
Koorosh Mirpour ◽  
James W. Bisley
Keyword(s):  
Prefrontal Cortex ◽  
Object Recognition ◽  
Visual Information ◽  
Posterior Parietal Cortex ◽  
Ventral Stream ◽  
Object Identity ◽  
Stimulus Similarity ◽  
Lateral Intraparietal Area ◽  
Dynamic Representation ◽  
And Task

We can search for and locate specific objects in our environment by looking for objects with similar features. Object recognition involves stimulus similarity responses in ventral visual areas and task-related responses in prefrontal cortex. We tested whether neurons in the lateral intraparietal area (LIP) of posterior parietal cortex could form an intermediary representation, collating information from object-specific similarity map representations to allow general decisions about whether a stimulus matches the object being looked for. We hypothesized that responses to stimuli would correlate with how similar they are to a sample stimulus. When animals compared two peripheral stimuli to a sample at their fovea, the response to the matching stimulus was similar, independent of the sample identity, but the response to the nonmatch depended on how similar it was to the sample: the more similar, the greater the response to the nonmatch stimulus. These results could not be explained by task difficulty or confidence. We propose that LIP uses its known mechanistic properties to integrate incoming visual information, including that from the ventral stream about object identity, to create a dynamic representation that is concise, low dimensional, and task relevant and that signifies the choice priorities in mental matching behavior. NEW & NOTEWORTHY Studies in object recognition have focused on the ventral stream, in which neurons respond as a function of how similar a stimulus is to their preferred stimulus, and on prefrontal cortex, where neurons indicate which stimulus is being looked for. We found that parietal area LIP uses its known mechanistic properties to form an intermediary representation in this process. This creates a perceptual similarity map that can be used to guide decisions in prefrontal areas.

Dynamic representation of disordered electronic systems

1983 ◽  
Vol 53 (4) ◽  
pp. 249-253 ◽  
Author(s):  
Richard Bausch ◽  
Hajo Leschke
Keyword(s):  
Electronic Systems ◽  
Dynamic Representation

An Experimental and Theoretical Investigation of Nonlinear Vibrations of Piezoelectrically-Driven Microcantilevers

2006 ◽  
Author(s):  
S. Nima Mahmoodi ◽  
Nader Jalili
Keyword(s):  
Natural Frequency ◽  
Piezoelectric Layer ◽  
Nonlinear Vibrations ◽  
Multiple Scales ◽  
Equations Of Motion ◽  
Galerkin Approximation ◽  
Closed Form Solution ◽  
Cubic Form ◽  
Dynamic Representation ◽  
Microcantilever Beam

The nonlinear vibrations of a piezoelectrically-driven microcantilever beam are experimentally and theoretically investigated. A part of the microcantilever beam surface is covered by a piezoelectric layer, which acts as an actuator. Practically, the first resonance of the beam is of interest, and hence, the microcantilever beam is modeled to obtain the natural frequency theoretically. The bending vibrations of the beam are studied considering the inextensibility condition and the coupling between electrical and mechanical properties in piezoelectric materials. The nonlinear term appears in the form of quadratic due to presence of piezoelectric layer, and cubic form due to geometry of the beam (mainly due to the beam's inextensibility). Galerkin approximation is utilized to discretize the equations of motion. The obtained equation is simulated to find the natural frequency of the system. In addition, method of multiple scales is applied to the equations of motion to arrive at the closed-form solution for natural frequency of the system. The experimental results verify the theoretical findings very closely. It is, therefore, concluded that the nonlinear approach could provide better dynamic representation of the microcantilever than previous linear models.

scholarly journals Understanding Culture through Knowledge Cybernetics

2018 ◽  
Vol 9 (1) ◽  
pp. 38-49
Author(s):  
Ousanee Sawagvudcharee ◽  
Maurice Yolles ◽  
Chanchai Bunchapattanasakda ◽  
Buncha Limpabandhu
Keyword(s):  
Cultural Values ◽  
Dynamic Modelling ◽  
Communication Management ◽  
Cross Cultural Communication ◽  
Dynamic Representation ◽  
A Value ◽  
Alternative Approach ◽  
Levels Of Reality ◽  
The Creation ◽  
Different Cultures

These days, countries around the world continue with their process of globalization in the digital business and marketing. However, they find themselves straddling different national cultures, which lead to problems of cross-cultural communication management resulting in, for instance, miscommunication and misunderstanding. Consequently, an understanding of the characterisation or mapping of culture is significant, and while there are not many theories of cultural mapping, most stem from the base work of Hofstede. Basically, most people begin with a categorisation of culture through the creation of an ontology that differentiates relatable levels of reality, as a theory of levels allows culture to be broken down into parts that can be analysed more easily. It also helps them to facilitate the creation of a set of generic or universal dimensions of culture which can be used to map different cultures. However, a problem with this theoretical approach is that it does not offer a very dynamic representation of culture, and it has manifestations that impoverish the way that phenomenal manifestations of culture can be explained. On the other hand, there is an alternative approach was adopted by Schwartz. This approach does not discuss ontology but it creates a value inventory in which respondents assess ‘comprehensive’ cultural values. Consequently, there is some relationship between outcome of Hofstede’s and Schwartz’s results. Yolles has developed a theory of Knowledge Cybernetics that delivers a new ontology and a dynamic modelling approach. Schwartz’s results have been merged into this, resulting in a new theory dynamic theory of culture quite distinct from Hofstede’s level theory.

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