scholarly journals Book Proposal on Biomimetic Tissue Simulants

2020 ◽  
Author(s):  
Arnab Chanda
Keyword(s):  
Soft Tissue ◽  
Ethical Issues ◽  
State Of The Art ◽  
Academic Research ◽  
Real Life ◽  
Test Results ◽  
Animal Tissues ◽  
Female Pelvis ◽  
Wide Range ◽  
Computational Research

Soft tissue surrogate based test dummies are used across industries to simulate real life accidents. To date, there are a wide range of surrogates available in the market, including gels, elastomers, and animal tissues, which are backdated and have mechanical properties very different from actual human tissues. However, in academic research, biofidelic soft tissue surrogates have evolved in the last two decades, but have lacked technology transfer. This book aims to bridge the gap between the industry and academia with the state of the art in soft tissue surrogate research. Surrogates are presented with respect to skin, muscles, brain tissue, arteries, and female pelvis. Fabrication techniques, mechanical testing, and test results required for reproducing these surrogates are discussed. Also, characterization methodologies and limitations of each type of surrogate are presented, for their use in both experimental and computational research. Some major industries which can use these biofidelic surrogates are car manufacturers, prosthetics and orthotics designers, ballistic testing facilities, military and sports equipment manufacturers. Also, hospitals and medical centres can take advantage of these synthetic surrogates over actual tissues for surgical training with minimal biosafety approvals and ethical issues.

A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing

2020 ◽  
pp. 1199-1212
Author(s):  
Syeda Erfana Zohora ◽  
A. M. Khan ◽  
Arvind K. Srivastava ◽  
Nhu Gia Nguyen ◽  
Nilanjan Dey
Keyword(s):  
Emotional Intelligence ◽  
Affective Computing ◽  
Ethical Issues ◽  
State Of The Art ◽  
Real Life ◽  
Life Time ◽  
The State ◽  
Point Of View ◽  
General Idea ◽  
Tremendous Amount

In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.

scholarly journals Performance Evaluation of the New AMS System at Accium BioSciences

Radiocarbon ◽  
2007 ◽  
Vol 49 (1) ◽  
pp. 171-180 ◽  
Author(s):  
Ugo Zoppi ◽  
James Crye ◽  
Qi Song ◽  
Ali Arjomand
Keyword(s):  
Performance Test ◽  
Dynamic Range ◽  
State Of The Art ◽  
Test Results ◽  
Sample Processing ◽  
Wide Range ◽  
Chemical Background ◽  
Technical Details ◽  
Precision And Accuracy ◽  
New Facility

A new compact accelerator mass spectrometry (AMS) system dedicated to the measurement of radiocarbon has been commissioned at the Accium BioSciences headquarters in Seattle. The entire facility (including ancillary laboratories for the preparation of graphite targets) has been designed to handle samples with a wide range of 14C concentrations. In this paper, we discuss the technical details of the new facility and present performance test results demonstrating state-of-the-art capabilities. In particular, modern samples can be readily measured with 0.3% precision and accuracy, machine background levels are consistently in the low 10-16 (14C/12C), and chemical background is approximately equivalent to a fraction of modern of 0.004. In addition, when 100-times-modern samples were processed, no increase in background was observed, either during sample processing or during AMS measurement. This corresponds to a dynamic range for 14C analysis of 6 orders of magnitude.

scholarly journals DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

2019 ◽  
Vol 33 ◽  
pp. 1020-1027 ◽  
Author(s):  
Ziqian Lin ◽  
Jie Feng ◽  
Ziyang Lu ◽  
Yong Li ◽  
Depeng Jin
Keyword(s):  
Traffic Control ◽  
State Of The Art ◽  
Real Life ◽  
Time Interval ◽  
Context Aware ◽  
Training Process ◽  
Flow Prediction ◽  
Wide Range ◽  
The City ◽  
Historical Flow

Crowd flow prediction is of great importance in a wide range of applications from urban planning, traffic control to public safety. It aims to predict the inflow (the traffic of crowds entering a region in a given time interval) and outflow (the traffic of crowds leaving a region for other places) of each region in the city with knowing the historical flow data. In this paper, we propose DeepSTN+, a deep learning-based convolutional model, to predict crowd flows in the metropolis. First, DeepSTN+ employs the ConvPlus structure to model the longrange spatial dependence among crowd flows in different regions. Further, PoI distributions and time factor are combined to express the effect of location attributes to introduce prior knowledge of the crowd movements. Finally, we propose an effective fusion mechanism to stabilize the training process, which further improves the performance. Extensive experimental results based on two real-life datasets demonstrate the superiority of our model, i.e., DeepSTN+ reduces the error of the crowd flow prediction by approximately 8%∼13% compared with the state-of-the-art baselines.

scholarly journals Emotional agents - state of the art and applications

2015 ◽  
Vol 12 (4) ◽  
pp. 1121-1148 ◽  
Author(s):  
Mirjana Ivanovic ◽  
Zoran Budimac ◽  
Milos Radovanovic ◽  
Vladimir Kurbalija ◽  
Weihui Dai ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
State Of The Art ◽  
Real Life ◽  
Data Sets ◽  
Emotional Information ◽  
Intelligent Software ◽  
Research Activities ◽  
Intelligent Software Agents ◽  
Wide Range ◽  
Emotional Agents

last decade, intensive research on emotional intelligence has advanced significantly from its theoretical basis, analytical studies and processing technology to exploratory applications in a wide range of real-life domains. This paper brings new insights in the field of emotional, intelligent software agents. The first part is devoted to an overview of the state-of-the-art in emotional intelligence research with emphasis on emotional agents. A wide range of applications in different areas like modeling emotional agents, aspects of learning in emotional environments, interactive emotional systems and so on are presented. After that we suggest a systematic order of research steps with the idea of proposing an adequate framework for several possible real-life applications of emotional agents. We recognize that it is necessary to apply specific methods for dynamic data analysis in order to identify and discover new knowledge from available emotional information and data sets. The last part of the paper discusses research activities for designing an agent-based architecture, in which agents are capable of reasoning about and displaying some kind of emotions based on emotions detected in human speech, as well as online documents.

scholarly journals Teaching mathematics as a way of thinking – not calculating

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Keith Devlin
Keyword(s):  
Mathematical Thinking ◽  
Applied Mathematics ◽  
Academic Research ◽  
Real Life ◽  
Mechanical Activity ◽  
Private Industry ◽  
Life Problems ◽  
Pure Mathematics ◽  
Wide Range ◽  
Formal Procedures

Important aspects of mathematical thinking are exploring, questioning, working systematically, visualizing, conjecturing, explaining, generalizing, justifying, and proving (but excluding the execution of formal procedures either done by machines or viewed as a “lower-level”, mechanical activity). See, for example, Stacey (2006); Devlin (2012a,b,c); Singh et al. (2018); NRICH (2020).Mathematical thinking is what this essay is about. But before I start, it should be noted that I write from the perspective of a career that spanned both academic research in pure mathematics and the world of applied mathematics, where I worked on a wide range of real-life problems for private industry and government.

Cognitive assessment

2012 ◽  
pp. 85-94
Author(s):  
Graham E. Powell
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Ecological Validity ◽  
Classical Test Theory ◽  
Real Life ◽  
Clinical Decision ◽  
Test Theory ◽  
Test Results ◽  
Wide Range ◽  
Assessment Procedures

Psychometric methods based on classical test theory have permitted the development of reliable and valid tests assessing a wide range of intellectual and cognitive functions. Test results assist in formulation and diagnosis, guide rehabilitation and management, provide baseline measures to detect change, and generally assist clinical decision-making regarding such issues as capacity. Tests and assessment procedures are being further developed so as to improve their ecological validity, enabling better prediction of real-life behaviour and functioning.

Gayby Baby – From the politics of representation to the politics of care

2018 ◽  
Vol 77 (6) ◽  
pp. 720-731
Author(s):  
Jennifer Skattebol ◽  
Maya Newell
Keyword(s):  
Social Impact ◽  
Ethical Issues ◽  
Academic Research ◽  
Real Life ◽  
Well Being ◽  
The Public ◽  
Ethical Frameworks ◽  
Marginalised Groups ◽  
The Public Sphere ◽  
Film Making

Background: Real life stories can enable audiences to empathise with the experiences of marginalised groups and communities and are extremely powerful tools in struggles for equality. High-quality documentary research can convey the life experiences of marginalised peoples in ways that are recognisable to them and which further their struggle for equality. Often, marginalised people are represented by ‘filmmakers’ eager to capitalise on the affect produced by detailed renditions of everyday political struggles. However, film-makers are rarely trained in how to empower participants to understand film-making and distribution processes. These understandings and dialogic processes are important if participants are to have a real say in how they are represented. Process: In 2011, Maya Newell and Charlotte Mars began to develop an observational feature documentary Gayby Baby (2015) focused on same-sex families, for the first time revealing the child’s perspective on debates concerning Lesbian, Gay, Bisexual, Trans, Intersex, Queer and their children’s equality. They were interested in empowering participants to have a real say in the film. Jen Skattebol’s family was one of the four families featured in the film. This shared activist experience grounds the authors’ discussion of ethical care in representative practices. Discussion: Recently, documentary film-making and academic research has seen the emergence of a new value system that measures success in terms of ‘impact’ in the public sphere. This developing interest amplifies the ethical issues involved in representational work and raises new questions concerning the implications of subject participation in the development of resources that aim to improve health and well-being in broad political terms. This article sketches out the contours of a more ethical form of social impact making that grew out of kitchen table conversations between documentary subject and maker – the researched and researcher. Ethical frameworks of care need to be recalibrated in line with the issues foregrounded by burgeoning social impact agendas.

A Study of the State of the Art in Synthetic Emotional Intelligence in Affective Computing

2016 ◽  
Vol 7 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Syeda Erfana Zohora ◽  
A. M. Khan ◽  
Arvind K. Srivastava ◽  
Nhu Gia Nguyen ◽  
Nilanjan Dey
Keyword(s):  
Emotional Intelligence ◽  
Affective Computing ◽  
Ethical Issues ◽  
State Of The Art ◽  
Real Life ◽  
Life Time ◽  
The State ◽  
Point Of View ◽  
General Idea ◽  
Research Activities

In the last few decades there has been a tremendous amount of research on synthetic emotional intelligence related to affective computing that has significantly advanced from the technological point of view that refers to academic studies, systematic learning and developing knowledge and affective technology to a extensive area of real life time systems coupled with their applications. The objective of this paper is to present a general idea on the area of emotional intelligence in affective computing. The overview of the state of the art in emotional intelligence comprises of basic definitions and terminology, a study of current technological scenario. The paper also proposes research activities with a detailed study of ethical issues, challenges with importance on affective computing. Lastly, we present a broad area of applications such as interactive learning emotional systems, modeling emotional agents with an intention of employing these agents in human computer interactions as well as in education.

scholarly journals Efficient Algorithm for the Computation of the Solution to a Sparse Matrix Equation in Distributed Control Theory

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1497
Author(s):  
Leonardo Pedroso ◽  
Pedro Batista
Keyword(s):  
Distributed Control ◽  
Matrix Equation ◽  
Efficient Algorithm ◽  
State Of The Art ◽  
Sparse Matrix ◽  
Linear Equations ◽  
Real Life ◽  
The State ◽  
Wide Range ◽  
Estimation And Control

In this short communication, an algorithm for efficiently solving a sparse matrix equation, which arises frequently in the field of distributed control and estimation theory, is proposed. The efficient algorithm stems from the fact that the sparse equation at hand can be reduced to a system of linear equations. The proposed algorithm is shown to require significantly fewer floating point operations than the state-of-the-art solution. The proposed solution is applied to a real-life example, which models a wide range of industrial processes. The experimental results show that the solution put forward allows for a significant increase in efficiency in relation to the state-of-the-art solution. The significant increase in efficiency of the presented algorithm allows for a valuable widening of the applications of distributed estimation and control.

scholarly journals A guide on extracting and tidying tweets with R

2021 ◽  
Vol 2 (4) ◽  
pp. e410
Author(s):  
Julia Bahia Adams ◽  
Carlos Augusto Jardim Chiarelli
Keyword(s):  
Ethical Issues ◽  
Academic Research ◽  
Social Networking Site ◽  
R Programming Language ◽  
Wide Range ◽  
Problems And Solutions ◽  
Social Media Platforms ◽  
Data Source ◽  
R Programming ◽  
Analyze Data

Social media platforms represent a deep resource for academic research and a wide range of untapped possibilities for linguists (D'ARCY; YOUNG, 2012). This rapidly developing field presents various ethical issues and unique challenges regarding methods to retrieve and analyze data. This tutorial provides a straightforward guide to harvesting and tidying Twitter data, focused mainly on the Tweets' text, by using the R programming language (R CORE TEAM, 2020) via Twitter's APIs. The R code was developed in Adams (2020), based on the rtweet package (KEARNEY, 2018), and successfully resulted in a script for corpora compilation. In this tutorial, we discuss limitations, problems, and solutions in our framework for conducting ethical research on this social networking site. Our ethical concerns go beyond what we "agree to" in terms of use and privacy policies, that is, we argue that their content does not contemplate all the concerns researchers need to attend to. Additionally, our aim is to show that using Twitter as a data source does not require advanced computational skills.

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