Conflict and Its Different Dimensions

2016 ◽  
pp. 1-20 ◽  
Author(s):  
Marco Vieira Gomes ◽  
Paulo Novais
Keyword(s):  
Conflict Resolution ◽  
Computer Science ◽  
State Of The Art ◽  
Digital Environment ◽  
Online Technology ◽  
Methods And Techniques ◽  
Overall Evaluation ◽  
Different Dimensions ◽  
Definition Of ◽  
Agreed Definition

The purpose of this chapter is to explore the nature of conflict from a computer science perspective, throwing to light an up to date review of the evolution and state-of-the-art of the intersection of conflict with technology-assisted systems and tools. The objective is to design a document to organize existing literature, provide a baseline understanding in place of an agreed definition of conflict, depict relevant conflict aspects (dimensions), and made overall evaluation of a range of methods and techniques of conflict resolution. It was also explored the challenges that individuals face in using online technology for collaboration and conflict resolution and management purposes. Finally, is presented some preliminary work regarding the most suitable technologies to implement a technological framework for handling conflict in a digital environment.

ABOUT THE PROBLEM OF CLASSIFICATION OF THE CONCEPTS OF INFORMATICS STUDIED AT SECONDARY SCHOOL

2018 ◽  
pp. 4-7
Author(s):  
S. I. Zenko
Keyword(s):  
Secondary School ◽  
Foreign Language ◽  
Computer Science ◽  
Parts Of Speech ◽  
The Third ◽  
The Cross ◽  
Definition Of

The article raises the problem of classification of the concepts of computer science and informatics studied at secondary school. The efficiency of creation of techniques of training of pupils in these concepts depends on its solution. The author proposes to consider classifications of the concepts of school informatics from four positions: on the cross-subject basis, the content lines of the educational subject "Informatics", the logical and structural interrelations and interactions of the studied concepts, the etymology of foreign-language and translated words in the definition of the concepts of informatics. As a result of the first classification general and special concepts are allocated; the second classification — inter-content and intra-content concepts; the third classification — stable (steady), expanding, key and auxiliary concepts; the fourth classification — concepts-nouns, conceptsverbs, concepts-adjectives and concepts — combinations of parts of speech.

Creating and Capturing Value through Crowdsourcing

2018 ◽  
Keyword(s):  
Information Systems ◽  
Systems Biology ◽  
Computer Science ◽  
Open Innovation ◽  
Product Innovation ◽  
Collective Intelligence ◽  
Innovation Management ◽  
Private And Public ◽  
Definition Of ◽  
The Uk

Examples of the value that can be created and captured through crowdsourcing go back to at least 1714, when the UK used crowdsourcing to solve the Longitude Problem, obtaining a solution that would enable the UK to become the dominant maritime force of its time. Today, Wikipedia uses crowds to provide entries for the world’s largest and free encyclopedia. Partly fueled by the value that can be created and captured through crowdsourcing, interest in researching the phenomenon has been remarkable. For example, the Best Paper Awards in 2012 for a record-setting three journals—the Academy of Management Review, Journal of Product Innovation Management, and Academy of Management Perspectives—were about crowdsourcing. In spite of the interest in crowdsourcing—or perhaps because of it—research on the phenomenon has been conducted in different research silos within the fields of management (from strategy to finance to operations to information systems), biology, communications, computer science, economics, political science, among others. In these silos, crowdsourcing takes names such as broadcast search, innovation tournaments, crowdfunding, community innovation, distributed innovation, collective intelligence, open source, crowdpower, and even open innovation. The book aims to assemble papers from as many of these silos as possible since the ultimate potential of crowdsourcing research is likely to be attained only by bridging them. The papers provide a systematic overview of the research on crowdsourcing from different fields based on a more encompassing definition of the concept, its difference for innovation, and its value for both the private and public sectors.

Systematic Literature Review on Smart Mobility: A Framework for Future “Quantitative” Developments

2021 ◽  
pp. 088541222199424
Author(s):  
Mauro Francini ◽  
Lucia Chieffallo ◽  
Annunziata Palermo ◽  
Maria Francesca Viapiana
Keyword(s):  
Cluster Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Performance Indicators ◽  
State Of The Art ◽  
Measurement Model ◽  
Broader Impacts ◽  
Research Goal ◽  
Smart Mobility ◽  
Definition Of

This work aims to reorganize theoretical and empirical research on smart mobility through the systematic literature review approach. The research goal is to reach an extended and shared definition of smart mobility using the cluster analysis. The article provides a summary of the state of the art that can have broader impacts in determining new angles for approaching research. In particular, the results will be a reference for future quantitative developments for the authors who are working on the construction of a territorial measurement model of the smartness degree, helping them in identifying performance indicators consistent with the definition proposed.

An Internationally Agreed Definition of Progressing Stroke

2004 ◽  
Vol 18 (3) ◽  
pp. 256-256 ◽  
Author(s):  
Mark Barber ◽  
David J. Stott ◽  
Peter Langhorne
Keyword(s):  
Progressing Stroke ◽  
Definition Of ◽  
Agreed Definition

Labour Exploitation in Human Trafficking Law

2021 ◽  
Author(s):  
Amy Weatherburn
Keyword(s):  
Human Trafficking ◽  
Criminal Law ◽  
Organized Crime ◽  
Trafficking In Persons ◽  
Transnational Organized Crime ◽  
Labour Exploitation ◽  
Women And Children ◽  
United Nations Convention ◽  
Definition Of ◽  
Agreed Definition

The 2000 Protocol to Prevent, Suppress and Punish Trafficking in Persons Especially Women and Children, supplementing the United Nations Convention against Transnational Organized Crime provides the first internationally agreed definition of the human trafficking. However, in failings to clarify the exact scope and meaning of exploitation, it has created an ambiguity as to what constitutes exploitation of labour in criminal law. <br>The international definition's preference for an enumerative approach has been replicated in most regional and domestic legal instruments, making it difficult to draw the line between exploitation in terms of violations of labour rights and extreme forms of exploitation such as those listed in the Protocol. <br><br>This book addresses this legal gap by seeking to conceptualise labour exploitation in criminal law.

scholarly journals Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes

2017 ◽  
Vol 25 (1) ◽  
pp. 93-98 ◽  
Author(s):  
Yuan Luo ◽  
Yu Cheng ◽  
Özlem Uzuner ◽  
Peter Szolovits ◽  
Justin Starren
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
State Of The Art ◽  
Graphics Processing Unit ◽  
Medical Problem ◽  
Feature Engineering ◽  
Processing Unit ◽  
Clinical Notes ◽  
Overall Evaluation ◽  
Relation Classification

Abstract We propose Segment Convolutional Neural Networks (Seg-CNNs) for classifying relations from clinical notes. Seg-CNNs use only word-embedding features without manual feature engineering. Unlike typical CNN models, relations between 2 concepts are identified by simultaneously learning separate representations for text segments in a sentence: preceding, concept1, middle, concept2, and succeeding. We evaluate Seg-CNN on the i2b2/VA relation classification challenge dataset. We show that Seg-CNN achieves a state-of-the-art micro-average F-measure of 0.742 for overall evaluation, 0.686 for classifying medical problem–treatment relations, 0.820 for medical problem–test relations, and 0.702 for medical problem–medical problem relations. We demonstrate the benefits of learning segment-level representations. We show that medical domain word embeddings help improve relation classification. Seg-CNNs can be trained quickly for the i2b2/VA dataset on a graphics processing unit (GPU) platform. These results support the use of CNNs computed over segments of text for classifying medical relations, as they show state-of-the-art performance while requiring no manual feature engineering.

scholarly journals Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the Web: A Survey of Technical Biases Informed by Psychology Literature

2021 ◽  
Vol 4 (3) ◽  
pp. 1-56
Author(s):  
Agathe Balayn ◽  
Jie Yang ◽  
Zoltan Szlavik ◽  
Alessandro Bozzon
Keyword(s):  
Computer Science ◽  
State Of The Art ◽  
Automatic Detection ◽  
Automatic Identification ◽  
Machine Learning Classification ◽  
Detection Systems ◽  
Science Community ◽  
Psychology Literature ◽  
Offensive Language ◽  
The Web

The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive languages) is essential to provide a healthy conversation environment on the Web. To design and develop detection systems that are capable of achieving satisfactory performance, a thorough understanding of the nature and properties of the targeted type of conflictual language is of great importance. The scientific communities investigating human psychology and social behavior have studied these languages in details, but their insights have only partially reached the computer science community. In this survey, we aim both at systematically characterizing the conceptual properties of online conflictual languages, and at investigating the extent to which they are reflected in state-of-the-art automatic detection systems. Through an analysis of psychology literature, we provide a reconciled taxonomy that denotes the ensemble of conflictual languages typically studied in computer science. We then characterize the conceptual mismatches that can be observed in the main semantic and contextual properties of these languages and their treatment in computer science works; and systematically uncover resulting technical biases in the design of machine learning classification models and the dataset created for their training. Finally, we discuss diverse research opportunities for the computer science community and reflect on broader technical and structural issues.

scholarly journals Computational Completeness of Interaction Machines and Turing Machines

10.29007/39jj ◽  
2018 ◽  
Author(s):  
Peter Wegner ◽  
Eugene Eberbach ◽  
Mark Burgin
Keyword(s):  
Computer Science ◽  
Complete Theory ◽  
Simple Computation ◽  
Turing Machines ◽  
Complete Model ◽  
Models Of Computation ◽  
Computational Completeness ◽  
Definition Of

In the paper we prove in a new and simple way that Interactionmachines are more powerful than Turing machines. To do thatwe extend the definition of Interaction machines to multiple interactivecomponents, where each component may perform simple computation.The emerging expressiveness is due to the power of interaction and allowsto accept languages not accepted by Turing machines. The mainresult that Interaction machines can accept arbitrary languages over agiven alphabet sheds a new light to the power of interaction. Despite ofthat we do not claim that Interaction machines are complete. We claimthat a complete theory of computer science cannot exist and especially,Turing machines or Interaction machines cannot be a complete model ofcomputation. However complete models of computation may and shouldbe approximated indefinitely and our contribution presents one of suchattempts.

scholarly journals Defining cosmetic surgery

2018 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Nicola R Dean ◽  
Kristen Foley ◽  
Paul Ward
Keyword(s):  
Patient Safety ◽  
Cosmetic Surgery ◽  
Invasive Procedure ◽  
Frame Of Reference ◽  
Congenital Defects ◽  
Normal Appearance ◽  
Full Spectrum ◽  
Developmental Abnormalities ◽  
Definition Of ◽  
Agreed Definition

An agreed definition for cosmetic surgery would be helpful for the purposes of discourse on ethics, patient safety, healthcare policy and health economics.  One of the problems with previous attempts at developing a definition is the narrow frame of reference and lack of engagement with the full spectrum of academics and stakeholders.  This review brings together the sociological as well as the surgical literature on the topic of cosmetic surgery and examines societal, ethical and healthcare aspects.  It outlines principles of constructing a definition and presents a provisional definition for further debate, namely:  Cosmetic surgery is defined, for the purposes of a healthcare payer, as any invasive procedure where the primary intention is to achieve what the patient perceives to be a more desirable appearance and where the procedure involves changes to bodily features that have a normal appearance on presentation to the doctor. In contrast, surgery performed with the goal of achieving a normal appearance, where bodily features have an abnormal appearance on presentation due to congenital defects, developmental abnormalities, trauma, infections, tumours or disease does not fall under the definition of cosmetic surgery.  It is a given that “normal appearance” is a subjective notion.  Determining whether patients have a normal or abnormal appearance on presentation will rely on the clinical assessment of the treating doctor.

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