Words of power: Emerge, a language for the dynamic control of live performance

2010 ◽  
Vol 4 (1-2) ◽  
pp. 67-80 ◽  
Author(s):  
Ian Willcock

The paper describes the key concepts and formal grammatical structures underpinning the design of a domain specific language (DSL) developed for dynamically specifying the logical choice-relationships between events and cues within live performance. A brief survey of existing approaches to describing and modelling live performance is given, both those based on generic terms together with approaches specific to particular genres and styles. The development of a generalised model of performer-activity in live performance is then introduced together with logical structures developed from the generic model which inform the language design and allow it to integrate with a wide range of performance traditions and genres. The implementation and application of these ideas in developing the Emerge language is explored through both a formal grammar and a discussion of the choices that had to be made between ease of use for the intended target users and grammatical simplicity. The features of the prototype software and language are briefly described showing how they might enable artists, both individually and collaboratively, to specify decision-making structures in advance of a performance and participate in shaping a performance as it proceeds.

Author(s):  
O. Y. Balalaieva ◽  

The purpose of the article is to study the dynamics of electronic dictionaries development abroad and in Ukraine using methods of analysis of scientific sources, comparison, generalization and systematization. Electronic dictionaries have been found to be a relatively new phenomenon in the lexicographic market, evolving from machine-readable dictionaries, exact copies of paper editions to complex digital lexicographic systems with a powerful arsenal of functions over the decades. The stages of development of autonomous and online dictionaries are described. Electronic dictionaries due to the advanced search capabilities, speed, simplicity, ease of use, accessibility and compactness have gained popularity among a wide range of users. Today they are used in many spheres of human activity – scientific, educational, professional, everyday communication. However, the analysis of the current level of development of Ukrainian electronic resources indicates a shortage of electronic dictionaries both common and terminological vocabulary. The lack of electronic dictionaries is due to a number of objective problems, both practical and theoretical, that is why research in the field of domestic computer lexicography is a promising area of further research.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Tingting Du ◽  
Zixin Xiong ◽  
Luis Delgado ◽  
Weizhi Liao ◽  
Joseph Peoples ◽  
...  

AbstractThermal switches have gained intense interest recently for enabling dynamic thermal management of electronic devices and batteries that need to function at dramatically varied ambient or operating conditions. However, current approaches have limitations such as the lack of continuous tunability, low switching ratio, low speed, and not being scalable. Here, a continuously tunable, wide-range, and fast thermal switching approach is proposed and demonstrated using compressible graphene composite foams. Large (~8x) continuous tuning of the thermal resistance is achieved from the uncompressed to the fully compressed state. Environmental chamber experiments show that our variable thermal resistor can precisely stabilize the operating temperature of a heat generating device while the ambient temperature varies continuously by ~10 °C or the heat generation rate varies by a factor of 2.7. This thermal device is promising for dynamic control of operating temperatures in battery thermal management, space conditioning, vehicle thermal comfort, and thermal energy storage.


MRS Bulletin ◽  
2003 ◽  
Vol 28 (6) ◽  
pp. 424-427 ◽  
Author(s):  
Agnès Aymonier ◽  
Eric Papon

AbstractSoft reactive adhesives (SRAs) are polymer-based materials (e.g., polyurethanes, polysiloxanes, polydienes) designed to be further vulcanized or slightly cross-linked through external activation (heat, moisture, oxygen, UV–visible irradiation, etc.), either at the time of their application or within a subsequent predefined period. They are used mainly as mastics, or sealing compounds, in a wide range of industrial and commercial fields such as construction, footwear, and the automotive industry. Generally deposited as thick films, SRAs behave as structural adhesives; their low elastic moduli accommodate large strains between the bonded parts without incurring permanent damage. Other outstanding attributes of SRAs are their resistance to solvents, their ability to withstand aggressive environments, and their ease of use. This article discusses examples of SRAs and, more specifically, shows how the cross-linking chemistry, mainly through step-growth polymerization, provides their primary advantages.


Author(s):  
Mehmet Zeki Gunluoglu ◽  
Tugrul Ormeci ◽  
Selva Sen

Abstract: Rapid developments and increasing technological knowledge have changed perspectives on ultrasonography. Previously, ultrasonography was used to evaluate chest wall pathologies, to distinguish between pleural effusion and consolidation, to evacuate pleural effusion, or to evaluate diaphragm movement. Today, it is also used in a wide range of pleural and parenchymal diseases. Ultrasonography is not just used in the emergency department and the intensive care units. It is also utilized in many clinical branches dealing with the respiratory system—due to its ease of use, fast access, price advantage, non-radiation exposure, higher diagnostic sensitivity, and specificity in many clinical situations—and has become a part of the examination. In this review, we have assessed not just transthoracic ultrasonography but also more focal and targeted sonographic applications, such as the endobronchial ultrasound and esophageal ultrasound.


2021 ◽  
Vol 17 (6) ◽  
pp. e1008364
Author(s):  
Andreas Bauer ◽  
Magdalena Prechová ◽  
Lena Fischer ◽  
Ingo Thievessen ◽  
Martin Gregor ◽  
...  

Cellular force generation and force transmission are of fundamental importance for numerous biological processes and can be studied with the methods of Traction Force Microscopy (TFM) and Monolayer Stress Microscopy. Traction Force Microscopy and Monolayer Stress Microscopy solve the inverse problem of reconstructing cell-matrix tractions and inter- and intra-cellular stresses from the measured cell force-induced deformations of an adhesive substrate with known elasticity. Although several laboratories have developed software for Traction Force Microscopy and Monolayer Stress Microscopy computations, there is currently no software package available that allows non-expert users to perform a full evaluation of such experiments. Here we present pyTFM, a tool to perform Traction Force Microscopy and Monolayer Stress Microscopy on cell patches and cell layers grown in a 2-dimensional environment. pyTFM was optimized for ease-of-use; it is open-source and well documented (hosted at https://pytfm.readthedocs.io/) including usage examples and explanations of the theoretical background. pyTFM can be used as a standalone Python package or as an add-on to the image annotation tool ClickPoints. In combination with the ClickPoints environment, pyTFM allows the user to set all necessary analysis parameters, select regions of interest, examine the input data and intermediary results, and calculate a wide range of parameters describing forces, stresses, and their distribution. In this work, we also thoroughly analyze the accuracy and performance of the Traction Force Microscopy and Monolayer Stress Microscopy algorithms of pyTFM using synthetic and experimental data from epithelial cell patches.


2021 ◽  
Author(s):  
Olena Ponomaryova ◽  
◽  
Sergy Ponomaryiov ◽  

The current problem of transition to the use of "Cloud Computing" in the process of assessing possible use has been reflected in this study. Assessments of the capabilities of cloud services have been conducted, which are part of a group study of cloud computing as a platform for creating a communication environment in the scientific activities of the Free Economic Zone. The essence of the concept of cloud computing is to provide end users with remote dynamic access to services, computing resources and applications via the Internet. The main possibilities and functions of the information space of scientific communications have been considered. In the process of evaluating the possible use of cloud solutions, the main properties, capabilities and characteristics have also been considered. Web-services based on cloud computing technology in terms of meeting the goals of the scientific community have been analyzed. The most widely used and widely used cloud storage services today that can be used to build a research communication platform are cloud infrastructure providers Google, Amazon and Microsoft. When using the capabilities of these services, favorable conditions are created for the translation of all necessary functions into cyberspace. Today, no more than 37% of domestic organizations actually use cloud technologies to optimize their IT infrastructures, although the COVID-19 pandemic has significantly accelerated this process. Experts claim that Cloud Computing opens access to powerful resources, as well as provides a real opportunity to overcome the technological gap that separates Ukraine from more developed countries. With the successful implementation of such a transition, it is possible to organize a platform of communication environment with new features that meet modern requirements for safety and ease of use in scientific activities. Thus, "cloud computing" is a new approach that reduces the complexity of IT systems, through the use of a wide range of efficient technologies, self-managed and available on demand within the virtual infrastructure, as well as consumed as services.


Author(s):  
Martin Monperrus ◽  
Jean-Marc Jézéquel ◽  
Joël Champeau ◽  
Brigitte Hoeltzener

Model-Driven Engineering (MDE) is an approach to software development that uses models as primary artifacts, from which code, documentation and tests are derived. One way of assessing quality assurance in a given domain is to define domain metrics. We show that some of these metrics are supported by models. As text documents, models can be considered from a syntactic point of view i.e., thought of as graphs. We can readily apply graph-based metrics to them, such as the number of nodes, the number of edges or the fan-in/fan-out distributions. However, these metrics cannot leverage the semantic structuring enforced by each specific metamodel to give domain specific information. Contrary to graph-based metrics, more specific metrics do exist for given domains (such as LOC for programs), but they lack genericity. Our contribution is to propose one metric, called s, that is generic over metamodels and allows the easy specification of an open-ended wide range of model metrics.


2016 ◽  
Vol 113 (29) ◽  
pp. 8200-8205 ◽  
Author(s):  
Francis G. Woodhouse ◽  
Aden Forrow ◽  
Joanna B. Fawcett ◽  
Jörn Dunkel

Active biological flow networks pervade nature and span a wide range of scales, from arterial blood vessels and bronchial mucus transport in humans to bacterial flow through porous media or plasmodial shuttle streaming in slime molds. Despite their ubiquity, little is known about the self-organization principles that govern flow statistics in such nonequilibrium networks. Here we connect concepts from lattice field theory, graph theory, and transition rate theory to understand how topology controls dynamics in a generic model for actively driven flow on a network. Our combined theoretical and numerical analysis identifies symmetry-based rules that make it possible to classify and predict the selection statistics of complex flow cycles from the network topology. The conceptual framework developed here is applicable to a broad class of biological and nonbiological far-from-equilibrium networks, including actively controlled information flows, and establishes a correspondence between active flow networks and generalized ice-type models.


Genes ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 375 ◽  
Author(s):  
Alexander Carpenter ◽  
Ian Paulsen ◽  
Thomas Williams

Biosensors are enabling major advances in the field of analytics that are both facilitating and being facilitated by advances in synthetic biology. The ability of biosensors to rapidly and specifically detect a wide range of molecules makes them highly relevant to a range of industrial, medical, ecological, and scientific applications. Approaches to biosensor design are as diverse as their applications, with major biosensor classes including nucleic acids, proteins, and transcription factors. Each of these biosensor types has advantages and limitations based on the intended application, and the parameters that are required for optimal performance. Specifically, the choice of biosensor design must consider factors such as the ligand specificity, sensitivity, dynamic range, functional range, mode of output, time of activation, ease of use, and ease of engineering. This review discusses the rationale for designing the major classes of biosensor in the context of their limitations and assesses their suitability to different areas of biotechnological application.


2022 ◽  
Vol 31 (2) ◽  
pp. 1-32
Author(s):  
Luca Ardito ◽  
Andrea Bottino ◽  
Riccardo Coppola ◽  
Fabrizio Lamberti ◽  
Francesco Manigrasso ◽  
...  

In automated Visual GUI Testing (VGT) for Android devices, the available tools often suffer from low robustness to mobile fragmentation, leading to incorrect results when running the same tests on different devices. To soften these issues, we evaluate two feature matching-based approaches for widget detection in VGT scripts, which use, respectively, the complete full-screen snapshot of the application ( Fullscreen ) and the cropped images of its widgets ( Cropped ) as visual locators to match on emulated devices. Our analysis includes validating the portability of different feature-based visual locators over various apps and devices and evaluating their robustness in terms of cross-device portability and correctly executed interactions. We assessed our results through a comparison with two state-of-the-art tools, EyeAutomate and Sikuli. Despite a limited increase in the computational burden, our Fullscreen approach outperformed state-of-the-art tools in terms of correctly identified locators across a wide range of devices and led to a 30% increase in passing tests. Our work shows that VGT tools’ dependability can be improved by bridging the testing and computer vision communities. This connection enables the design of algorithms targeted to domain-specific needs and thus inherently more usable and robust.


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