Immersion Domes

2020 ◽  
pp. 314-346
Author(s):  
Edward Lantz
Keyword(s):  
Virtual Worlds ◽  
Performing Arts ◽  
Large Scale ◽  
Full Potential ◽  
Media Arts ◽  
Theater Design ◽  
Global Impact ◽  
Spatial Augmented Reality ◽  
Sense Of Presence ◽  
Large Groups

Large-scale immersion domes are specialized embodiments of spatial augmented reality allowing large groups to be immersed in real-time animated or cinematic virtual worlds with strong sense-of-presence. Also called fulldome theaters, these spaces currently serve as giant screen cinemas, planetariums, themed entertainment attractions, and immersive classrooms. This chapter presents case studies for emerging applications of digital domes, reviews dome theater design basics, and suggests that these venues are on track to become mainstream arts and entertainment centers delivering global impact at scale. Standard venue designs will be necessary to realize the full potential of an immersive media arts and entertainment distribution network. This chapter provides rationale for standardization of immersion domes for multi-use events spaces, immersive cinemas, and live performing arts theaters.

scholarly journals Graphene-Based Artificial Synapses with Tunable Plasticity

2021 ◽  
Vol 17 (4) ◽  
pp. 1-21
Author(s):  
He Wang ◽  
Nicoleta Cucu Laurenciu ◽  
Yande Jiang ◽  
Sorin Cotofana
Keyword(s):  
Synaptic Plasticity ◽  
Weight Change ◽  
Time Scale ◽  
Large Scale ◽  
Synaptic Weight ◽  
Low Voltage ◽  
Logic Gates ◽  
Full Potential ◽  
Back Gate ◽  
Input Spike

Design and implementation of artificial neuromorphic systems able to provide brain akin computation and/or bio-compatible interfacing ability are crucial for understanding the human brain’s complex functionality and unleashing brain-inspired computation’s full potential. To this end, the realization of energy-efficient, low-area, and bio-compatible artificial synapses, which sustain the signal transmission between neurons, is of particular interest for any large-scale neuromorphic system. Graphene is a prime candidate material with excellent electronic properties, atomic dimensions, and low-energy envelope perspectives, which was already proven effective for logic gates implementations. Furthermore, distinct from any other materials used in current artificial synapse implementations, graphene is biocompatible, which offers perspectives for neural interfaces. In view of this, we investigate the feasibility of graphene-based synapses to emulate various synaptic plasticity behaviors and look into their potential area and energy consumption for large-scale implementations. In this article, we propose a generic graphene-based synapse structure, which can emulate the fundamental synaptic functionalities, i.e., Spike-Timing-Dependent Plasticity (STDP) and Long-Term Plasticity . Additionally, the graphene synapse is programable by means of back-gate bias voltage and can exhibit both excitatory or inhibitory behavior. We investigate its capability to obtain different potentiation/depression time scale for STDP with identical synaptic weight change amplitude when the input spike duration varies. Our simulation results, for various synaptic plasticities, indicate that a maximum 30% synaptic weight change and potentiation/depression time scale range from [-1.5 ms, 1.1 ms to [-32.2 ms, 24.1 ms] are achievable. We further explore the effect of our proposal at the Spiking Neural Network (SNN) level by performing NEST-based simulations of a small SNN implemented with 5 leaky-integrate-and-fire neurons connected via graphene-based synapses. Our experiments indicate that the number of SNN firing events exhibits a strong connection with the synaptic plasticity type, and monotonously varies with respect to the input spike frequency. Moreover, for graphene-based Hebbian STDP and spike duration of 20ms we obtain an SNN behavior relatively similar with the one provided by the same SNN with biological STDP. The proposed graphene-based synapse requires a small area (max. 30 nm 2 ), operates at low voltage (200 mV), and can emulate various plasticity types, which makes it an outstanding candidate for implementing large-scale brain-inspired computation systems.

Structure Controlled Synthesis of Vertically Aligned Carbon Nanotubes Using Thermal Chemical Vapor Deposition Process

2010 ◽  
Vol 133 (3) ◽  
Author(s):  
Myung Gwan Hahm ◽  
Young-Kyun Kwon ◽  
Ahmed Busnaina ◽  
Yung Joon Jung
Keyword(s):  
Carbon Nanotubes ◽  
Chemical Vapor Deposition ◽  
Vapor Deposition ◽  
Large Scale ◽  
Chemical Vapor ◽  
Controlled Synthesis ◽  
Full Potential ◽  
Thermal Chemical Vapor Deposition ◽  
Vertically Aligned ◽  
Walled Carbon Nanotubes

Due to their unique one-dimensional nanostructure along with excellent mechanical, electrical, and optical properties, carbon nanotubes (CNTs) become a promising material for diverse nanotechnology applications. However, large-scale and structure controlled synthesis of CNTs still have many difficulties due to the lack of understanding of the fundamental growth mechanism of CNTs, as well as the difficulty of controlling atomic-scale physical and chemical reactions during the nanotube growth process. Especially, controlling the number of graphene wall, diameter, and chirality of CNTs are the most important issues that need to be solved to harness the full potential of CNTs. Here we report the large-scale selective synthesis of vertically aligned single walled carbon nanotubes (SWNTs) and double walled carbon nanotubes (DWNTs) by controlling the size of catalyst nanoparticles in the highly effective oxygen assisted thermal chemical vapor deposition (CVD) process. We also demonstrate a simple but powerful strategy for synthesizing ultrahigh density and diameter selected vertically aligned SWNTs through the precise control of carbon flow during a thermal CVD process.

scholarly journals Technology Acceptance in Healthcare: A Systematic Review

2021 ◽  
Vol 11 (22) ◽  
pp. 10537
Author(s):  
Adi A. AlQudah ◽  
Mostafa Al-Emran ◽  
Khaled Shaalan
Keyword(s):  
Systematic Review ◽  
Technology Acceptance ◽  
Large Scale ◽  
Empirical Studies ◽  
Influential Factors ◽  
Full Potential ◽  
Eligibility Criteria ◽  
Factors Affecting ◽  
The Usa ◽  
Healthcare Technologies

Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.

scholarly journals The Co-Construction of Energy Provision and Everyday Practice: Integrating Heat Pumps in Social Housing in England

2015 ◽  
Vol 28 (3) ◽  
pp. 26-53 ◽  
Author(s):  
Ellis P Judson ◽  
Sandra Bell ◽  
Harriet Bulkeley ◽  
Gareth Powells ◽  
Stephen Lyon
Keyword(s):  
Large Scale ◽  
New Technologies ◽  
Heat Pumps ◽  
Consumer Information ◽  
Hot Water ◽  
Everyday Practice ◽  
Full Potential ◽  
Low Carbon ◽  
Energy Services ◽  
The North

Challenges of energy security, low carbon transitions, and electricity network constraints have led to a shift to new, efficient technologies for household energy services. Studies of such technological innovations usually focus on consumer information and changes in behaviour to realise their full potential. We suggest that regarding such technologies in existing energy provision systems opens up questions concerning how and why such interventions are delivered. We argue that we must understand the ways by which energy systems are co-constituted through the habits and expectations of households, their technologies and appliances, alongside arrangements associated with large-scale socio-technical infrastructures. Drawing on research with air-source-to-water heat pumps (ASWHP), installed as part of a large trans-disciplinary, utility-led research and demonstration project in the north of England, we investigate how energy services provision and everyday practice shapes new technologies uptake, and how such technologies mediate and reconfigure relations between users, providers and infrastructure networks. While the installation of ASWHP has led to role differentiation through which energy services are provided, the space for new forms of co-provision to emerge is limited by existing commitments to delivering energy services. Simultaneously, new forms of interdependency emerge between users, providers and intermediaries through sites of installation, instruction, repair and feedback. We find that although new technologies do lead to the rearrangement of practices, this is often disrupted by obduracy in the conventions and habits around domestic heating and hot water practices that have been established in relation to existing systems of provision. Rather being simply a matter of increasing levels of knowledge in order to ensure that such technologies are adopted effi ciently and effectively, our paper demonstrates how systemic arrangements of energy provision and everyday practice are co-implicated in socio-technical innovation by changing the nature of energy supply and use.

scholarly journals Cellular effects of gliotoxin: Evaluation of a proteomic, isotope-based method to detect reactive cysteines

2021 ◽  
Author(s):  
◽  
Sven Sondhauss
Keyword(s):  
Large Scale ◽  
Thiol Group ◽  
Disulfide Bridge ◽  
Reversed Phase ◽  
Cellular Damage ◽  
Full Potential ◽  
Label Free ◽  
Cysteine Modification ◽  
Affinity Tag ◽  
Cell Vitality

<p>Cysteinyl residues in proteins are important for many cellular processes and unregulated modification of the cysteine thiol group can have negative effects on cell vitality and viability. In this thesis, the potential for use of the isotope coded affinity tag (ICAT) method for detection of cysteine modification has been investigated. ICAT reagents label free cysteine thiols. The aim of this study was to use HL-60 cells treated with gliotoxin, a fungal metabolite with a reactive disulfide bridge, as a system to evaluate the performance of ICAT for identification of cysteine modification in a whole cell proteome. Gliotoxin has antimicrobial, antitumor, immunosuppressive and cytotoxic properties that have been related to cysteine modification in proteins. Cellular assays including viability using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide, cell cycle analysis, and measurement of reactive oxygen species using dichlorofluorescin diacetate were used to establish conditions for measuring the effects of gliotoxin on HL-60 cells prior to large-scale cellular damage. Cells exposed to gliotoxin and control cells were then labeled with ICAT reagents and analysed by offline reversed phase liquid chromatography followed by matrix-assisted laser desorption/ionization tandem mass spectrometry. The pilot results identified tubulin, glyceraldehyde-3-phosphate dehydrogenase and peptidyl-prolyl cis-trans isomerase as putative targets of gliotoxin. Additionally, this study showed that ICAT can be used to detect modified cysteines from a highly complex sample, but further optimization is needed to unlock the full potential for detection of cysteine modification in complex samples.</p>

scholarly journals Hyperactive bladder: concept of disease and paradigms in the treatment

2021 ◽  
pp. 121-126
Author(s):  
G. G. Krivoborodov ◽  
E. I. Tur ◽  
D. A. Shirin
Keyword(s):  
Large Scale ◽  
Lifestyle Changes ◽  
Diagnosis By Exclusion ◽  
Step Algorithm ◽  
Detrusor Hyperactivity ◽  
Large Groups ◽  
Current Guidelines ◽  
Global Population ◽  
Methods Of Treatment ◽  
Adrenergic Receptor Agonist

World studies have shown that the mean prevalence of overactive bladder (OAB) ranges today from 11 to 16% of the global population and is common in both men and women. In addition, OAB is a diagnosis by exclusion. The article discusses two large groups of the causes of pathology: neurological and non-neurological. The former includes various diseases and conditions that lead to a complex abnormality in the urinary mechanism, namely, involuntary detrusor contractions and increased intravesical pressure. Spinal trauma, brain strokes and spinal strokes, multiple sclerosis, Parkinson’s disease, etc. are the most common of them. Unidentified factors constitute the second group of causes resulting in urgent frequent urination, and what is meant here is idiopathic detrusor hyperactivity (IDH). In this case, a patient may have these symptoms amidst full health without any neurological history. According to the available current guidelines, the treatment of OAB includes a three-step algorithm and suggests lifestyle changes, drug therapy and, finally, minimally invasive methods of treatment. Historically, M-anticholinergics are the main drugs for the treatment of OAD symptoms. However, administration of drugs from this group may often be impossible due to prominent side effects, which are more commonly reported among elderly patients. Unlike M-anticholinergics, Mirabegron is the only β3-adrenergic receptor agonist today that has shown a high efficacy and safety profile based on the results of large-scale placebo-controlled clinical trials.

scholarly journals Experimenting With Online Governance

2021 ◽  
Vol 3 ◽  
Author(s):  
Ofer Tchernichovski ◽  
Seth Frey ◽  
Nori Jacoby ◽  
Dalton Conley
Keyword(s):  
Best Practices ◽  
Virtual Worlds ◽  
Large Scale ◽  
Online Communication ◽  
Institutional Logic ◽  
Social Feedback ◽  
Rating Systems ◽  
Community Rating ◽  
Fast Pace ◽  
Test Outcomes

To solve the problems they face, online communities adopt comprehensive governance methods including committees, boards, juries, and even more complex institutional logics. Helping these kinds of communities succeed will require categorizing best practices and creating toolboxes that fit the needs of specific communities. Beyond such applied uses, there is also a potential for an institutional logic itself to evolve, taking advantage of feedback provided by the fast pace and large ecosystem of online communication. Here, we outline an experimental strategy aiming at guiding and facilitating such an evolution. We first review the advantages of studying collective action using recent technologies for efficiently orchestrating massive online experiments. Research in this vein includes attempts to understand how behavior spreads, how cooperation evolves, and how the wisdom of the crowd can be improved. We then present the potential usefulness of developing virtual-world experiments with governance for improving the utility of social feedback. Such experiments can be used for improving community rating systems and monitoring (dashboard) systems. Finally, we present a framework for constructing large-scale experiments entirely in virtual worlds, aimed at capturing the complexity of governance dynamics, to empirically test outcomes of manipulating institutional logic.

scholarly journals Proteomics and metabolomics in cow fertility: a systematic review

Reproduction ◽  
2020 ◽  
Vol 160 (5) ◽  
pp. 639-658
Author(s):  
Nicolas Aranciaga ◽  
James D Morton ◽  
Debra K Berg ◽  
Jessica L Gathercole
Keyword(s):  
Oxidative Stress ◽  
Systematic Review ◽  
Large Scale ◽  
Reproductive Tract ◽  
Early Embryo ◽  
Female Reproductive Tract ◽  
Full Potential ◽  
Technical Standards ◽  
The Impact

Cow subfertility is a multi-factorial problem in many countries which is only starting to be unravelled. Molecular biology can provide a substantial source of insight into its causes and potential solutions, particularly through large scale, untargeted omics approaches. In this systematic review, we set out to compile, assess and integrate the latest proteomic and metabolomic research on cow reproduction, specifically that on the female reproductive tract and early embryo. We herein report a general improvement in technical standards throughout the temporal span examined; however, significant methodological limitations are also identified. We propose easily actionable avenues for ameliorating these shortcomings and enhancing the reach of this field. Text mining and pathway analysis corroborate the relevance of proteins and metabolites related to the triad oxidative stress-inflammation-disease on reproductive function. We envisage a breakthrough in cattle reproductive molecular research within the next few years as in vivo sample techniques are improved, omics analysis equipment becomes more affordable and widespread, and software tools for single- and multi-omics data processing are further developed. Additional investigation of the impact of local oxidative stress and inflammation on fertility, both at the local and systemic levels, is key towards realising the full potential of this field.

scholarly journals Immersive Journalism: Immersive Virtual Reality for the First-Person Experience of News

2010 ◽  
Vol 19 (4) ◽  
pp. 291-301 ◽  
Author(s):  
Nonny de la Peña ◽  
Peggy Weil ◽  
Joan Llobera ◽  
Bernhard Spanlang ◽  
Doron Friedman ◽  
...  
Keyword(s):  
Virtual Worlds ◽  
Theoretical Background ◽  
News Story ◽  
First Person ◽  
Fundamental Idea ◽  
News Stories ◽  
Sense Of Presence ◽  
Head Mounted Displays ◽  
Immersive Systems ◽  
Person Experience

This paper introduces the concept and discusses the implications of immersive journalism, which is the production of news in a form in which people can gain first-person experiences of the events or situation described in news stories. The fundamental idea of immersive journalism is to allow the participant, typically represented as a digital avatar, to actually enter a virtually recreated scenario representing the news story. The sense of presence obtained through an immersive system (whether a Cave or head-tracked head-mounted displays [HMD] and online virtual worlds, such as video games and online virtual worlds) affords the participant unprecedented access to the sights and sounds, and possibly feelings and emotions, that accompany the news. This paper surveys current approaches to immersive journalism and the theoretical background supporting claims regarding avatar experience in immersive systems. We also provide a specific demonstration: giving participants the experience of being in an interrogation room in an offshore prison. By both describing current approaches and demonstrating an immersive journalism experience, we open a new avenue for research into how presence can be utilized in the field of news and nonfiction.

Discovering Complex Relationships of Drugs over Distributed Knowledgebases

2016 ◽  
pp. 1572-1591
Author(s):  
Juan Li ◽  
Ranjana Sharma ◽  
Yan Bai
Keyword(s):  
Drug Discovery ◽  
Semantic Web ◽  
Distributed System ◽  
Large Scale ◽  
The Internet ◽  
Full Potential ◽  
Web Data ◽  
Semantic Relationships ◽  
Complex Relationships

Drug discovery is a lengthy, expensive and difficult process. Indentifying and understanding the hidden relationships among drugs, genes, proteins, and diseases will expedite the process of drug discovery. In this paper, we propose an effective methodology to discover drug-related semantic relationships over large-scale distributed web data in medicine, pharmacology and biotechnology. By utilizing semantic web and distributed system technologies, we developed a novel hierarchical knowledge abstraction and an efficient relation discovery protocol. Our approach effectively facilitates the realization of the full potential of harnessing the collective power and utilization of the drug-related knowledge scattered over the Internet.

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