Machinima

2016 ◽  
pp. 149-181
Author(s):  
Tracy Harwood
Keyword(s):  
State Of The Art ◽  
Final Analysis ◽  
Growth Trajectories ◽  
Music Video ◽  
Review Of Literature ◽  
Channels Of Distribution ◽  
Video Advertising ◽  
Screen Capture ◽  
Key Issues ◽  
Cultural Movement

This chapter presents an overview of machinima, an important socio-cultural movement that originated in the 1990s gameplay movement known as demoscene. The chapter presents a review of literature and key issues related to its evolution. Modes of its production (perfect capture, screen capture, asset compositing, bespoke machinimation) are described, along with the range of different genres that have emerged, including fan vid, parody, documentary, music video, advertising, reportage, reenactment, activist, pre-visualization and artistic forms. Thereafter, the chapter identifies channels of distribution and growth trajectories for each. The chapter then presents four key phases of the emergence of machinima, identifying the key actors and roles of organizations within each phase. As a movement that continues to evolve, the discussion presented is by no means a final analysis, thus the aim of the chapter is to present a ‘state of the art' overview of its emergence and development.

Regulations and Norms for Reuse of Residual Clinical Biospecimens and Health Data

2021 ◽  
pp. 019394592110292
Author(s):  
Elizabeth E. Umberfield ◽  
Sharon L. R. Kardia ◽  
Yun Jiang ◽  
Andrea K. Thomer ◽  
Marcelline R. Harris
Keyword(s):  
Informed Consent ◽  
Scoping Review ◽  
Real World ◽  
Genetic Information ◽  
Final Analysis ◽  
Health Data ◽  
Federal Regulations ◽  
Secondary Research ◽  
Domain Experts ◽  
Key Issues

Nurse scientists are increasingly interested in conducting secondary research using real world collections of biospecimens and health data. The purposes of this scoping review are to (a) identify federal regulations and norms that bear authority or give guidance over reuse of residual clinical biospecimens and health data, (b) summarize domain experts’ interpretations of permissions of such reuse, and (c) summarize key issues for interpreting regulations and norms. Final analysis included 25 manuscripts and 23 regulations and norms. This review illustrates contextual complexity for reusing residual clinical biospecimens and health data, and explores issues such as privacy, confidentiality, and deriving genetic information from biospecimens. Inconsistencies make it difficult to interpret, which regulations or norms apply, or if applicable regulations or norms are congruent. Tools are necessary to support consistent, expert-informed consent processes and downstream reuse of residual clinical biospecimens and health data by nurse scientists.

scholarly journals A Multilayer CARU Framework to Obtain Probability Distribution for Paragraph-Based Sentiment Analysis

2021 ◽  
Vol 11 (23) ◽  
pp. 11344
Author(s):  
Wei Ke ◽  
Ka-Hou Chan
Keyword(s):  
Probability Distribution ◽  
Information Extraction ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Final Analysis ◽  
The State ◽  
Experimental Results ◽  
Content Adaptive

Paragraph-based datasets are hard to analyze by a simple RNN, because a long sequence always contains lengthy problems of long-term dependencies. In this work, we propose a Multilayer Content-Adaptive Recurrent Unit (CARU) network for paragraph information extraction. In addition, we present a type of CNN-based model as an extractor to explore and capture useful features in the hidden state, which represent the content of the entire paragraph. In particular, we introduce the Chebyshev pooling to connect to the end of the CNN-based extractor instead of using the maximum pooling. This can project the features into a probability distribution so as to provide an interpretable evaluation for the final analysis. Experimental results demonstrate the superiority of the proposed approach, being compared to the state-of-the-art models.

scholarly journals Relation-Aware Transformer for Portfolio Policy Learning

2020 ◽  
Author(s):  
Ke Xu ◽  
Yifan Zhang ◽  
Deheng Ye ◽  
Peilin Zhao ◽  
Mingkui Tan
Keyword(s):  
Portfolio Selection ◽  
State Of The Art ◽  
Asset Price ◽  
Sequential Patterns ◽  
Portfolio Decisions ◽  
Price Series ◽  
Crypto Currency ◽  
Key Issues ◽  
Multiple Assets ◽  
Portfolio Policy

Portfolio selection is an important yet challenging task in AI for FinTech. One of the key issues is how to represent the non-stationary price series of assets in a portfolio, which is important for portfolio decisions. The existing methods, however, fall short of capturing: 1) the complicated sequential patterns for asset price series and 2) the price correlations among multiple assets. In this paper, under a deep reinforcement learning paradigm for portfolio selection, we propose a novel Relation-aware Transformer (RAT) to handle these aspects. Specifically, being equipped with our newly developed attention modules, RAT is structurally innovated to capture both sequential patterns and asset correlations for portfolio selection. Based on the extracted sequential features, RAT is able to make profitable portfolio decisions regarding each asset via a newly devised leverage operation. Extensive experiments on real-world crypto-currency and stock datasets verify the state-of-the-art performance of RAT.

Storytelling-Based Edutainment Applications

2011 ◽  
pp. 190-214 ◽  
Author(s):  
Anja Hoffman ◽  
Stefan Gobel ◽  
Oliver Schneider ◽  
Ido Iurgel
Keyword(s):  
Digital Storytelling ◽  
State Of The Art ◽  
Key Issues ◽  
Art Analysis ◽  
Learning Issues ◽  
Technical Platform ◽  
Narrative Learning

Within this chapter, the authors — all members of the Digital Storytelling group at ZGDV Darmstadt e.V. — provide an overview of the potential of storytelling-based edutainment applications and approaches for narrative learning applications. This covers not only online applications, but also off-line edutainment components, as well as hybrid scenarios combining both types. The chapter is structured into five parts. At the beginning, a global scenario of edutainment applications for museums is introduced and key issues concerning the establishment of edutainment applications and the level of interactivity for online applications are highlighted. These open and relevant issues are discussed within a technology-oriented, state-of-the art analysis concentrating on the authoring process, storytelling aspects, dramaturgy and learning issues. Based on this brief STAR analysis, storytelling methods and concepts, as well as a technical platform for the establishment of storytelling-based edutainment applications, are described. The strengths and weaknesses of these approaches are discussed within the context of the edutainment projects, art-E-fact and DinoHunter Senckenberg. Finally, the major results are summarized in a short conclusion and further research and application-driven trends (context: museums) are pointed out.

Topography Optimization of Shell Structures Under Transient Loading: A Comparative Approach

2012 ◽  
Author(s):  
Juan Camilo Medina ◽  
Andrés Tovar
Keyword(s):  
Sensitivity Analysis ◽  
Stochastic Approximation ◽  
State Of The Art ◽  
Computational Effort ◽  
Shell Structures ◽  
Comparative Approach ◽  
Shell Elements ◽  
Physical Approximation ◽  
Key Issues ◽  
Topography Optimization

Topography optimization is an innovative technique that can significantly improve the response of certain type of structures. The most challenging aspect of topography optimization is the sensitivity analysis. In this manuscript two methods to approximate the sensitivities for problems in topography optimization are introduced. The gradient is supplanted with either a stochastic approximation, or a physical approximation. Initially, an overview of the state-of-the-art in topography optimization is presented, and some key issues are explored. Subsequently, the technique is outlined, and the proposed methods are introduced. Furthermore, a numerical example in which a structure composed of shell elements is subject to a blast load is provided. This example is solved employing stochastic gradient approximation, and approximate gradient. They are compared to the widely used finite differences approximation. It is possible to observe that the proposed method significantly reduces the computational effort required to solve the problem, while considerably improving the objective function.

scholarly journals Key Issues in Modeling of Complex 3D Structures from Video Sequences

2012 ◽  
Vol 2012 ◽  
pp. 1-17 ◽  
Author(s):  
Shengyong Chen ◽  
Yuehui Wang ◽  
Carlo Cattani
Keyword(s):  
Basic Principle ◽  
Video Analysis ◽  
Structure From Motion ◽  
State Of The Art ◽  
Three Dimensional ◽  
Video Sequences ◽  
3D Structures ◽  
Uncalibrated Camera ◽  
Key Issues ◽  
Scene Object

Construction of three-dimensional structures from video sequences has wide applications for intelligent video analysis. This paper summarizes the key issues of the theory and surveys the recent advances in the state of the art. Reconstruction of a scene object from video sequences often takes the basic principle of structure from motion with an uncalibrated camera. This paper lists the typical strategies and summarizes the typical solutions or algorithms for modeling of complex three-dimensional structures. Open difficult problems are also suggested for further study.

Understanding Diversity as Culture

2013 ◽  
Author(s):  
Eduardo Salas ◽  
Maritza R. Salazar ◽  
Michele J. Gelfand
Keyword(s):  
Cultural Diversity ◽  
Team Performance ◽  
State Of The Art ◽  
Group Processes ◽  
The State ◽  
Combined Effect ◽  
Future Research ◽  
Different Types ◽  
Key Issues

Cultural diversity—the degree to which there are differences within and between individuals based on both subjective and objective components of culture—can affect individual and group processes. However, much is still unclear about the effects of cultural diversity. We review the literature on cultural diversity to assess the state of the art and to identify key issues for future research. This review emphasizes the importance of understanding different types of cultural diversity and their independent and combined effect on team performance. We identify key contributions to the study of cultural diversity and discuss frontiers for future research.

scholarly journals A STUDY INVESTIGATING CHALLENGES IN THE INTERFACE BETWEEN PRODUCT DEVELOPMENT AND MANUFACTURING IN THE DEVELOPMENT OF SOFTWARE-INTENSIVE AUTOMOTIVE SYSTEMS

2012 ◽  
Vol 22 (07) ◽  
pp. 965-1004 ◽  
Author(s):  
J. PERNSTÅL ◽  
A. MAGAZINIUS ◽  
T. GORSCHEK
Keyword(s):  
Product Development ◽  
Automotive Industry ◽  
State Of The Art ◽  
Future Research ◽  
Manufacturing Processes ◽  
Process Assessment ◽  
Automotive Systems ◽  
Extensive Analysis ◽  
Key Issues ◽  
Software Intensive

The automotive industry is facing a tremendous growth in the engineering of software-intensive systems, giving rise to various challenges. To prevent problems related to the fit of new software technologies in vehicles and the manufacturing processes, a well functioning interaction between the functions for product development and manufacturing is crucial. This is complicated by the fact that the changeable nature of software development causes unprecedented needs for collaboration and coordination between these two functions. This paper reports on a process assessment that focuses on the interface between the functions for product development and manufacturing in the development and design of software-intensive automotive systems. The main purpose of the study was to identify the key issues for improvement in the area assessed. The assessment was performed at two Swedish automotive companies where data were collected from documents and in interviews with practitioners. Nine key improvement issues were established ranging from challenges in requirements engineering to the need for knowledge transfer between manufacturing and product development. In addition, to increase the understandability of the results and map possible avenues for solution and future research, the paper provides an extensive analysis of each improvement issue in relation to the state-of-the-art.

scholarly journals Introduction to Special Issue: State of the Art Reviews on Mental Health in Traumatic Brain Injury

2013 ◽  
Vol 14 (1) ◽  
pp. 1-1
Author(s):  
Grahame K. Simpson ◽  
Robyn Tate
Keyword(s):  
Mental Health ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Guest Editorial ◽  
Mental Health Problems ◽  
State Of The Art ◽  
Health Issues ◽  
Special Issue ◽  
Mental Health Issues ◽  
Key Issues

Addressing mental health issues is a core concern in the treatment of people with traumatic brain injury (TBI) and their families. Mental health issues are widespread after TBI and arise whether the injury was sustained in civilian or conflict contexts. In the Guest Editorial, Simon Fleminger outlines key issues and conundrums that arise in the intertwining of mental health problems and TBI, as well as the importance of integrating the treatment of mental health conditions into neurorehabilitation.

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