Selection of Key Features of Correction Strategies for Community Corrections Personnel and Method of Case Marking

2021 ◽  
Author(s):  
Jiade Wang ◽  
Yang Yang ◽  
Yunxia Liu ◽  
Zhifeng Zhang ◽  
Lihua Fu
Keyword(s):  
Community Corrections ◽  
Case Marking ◽  
Key Features ◽  
Corrections Personnel ◽  
Correction Strategies ◽  
Selection Of

scholarly journals Comparison of blockchain platforms: a systematic review and healthcare examples

2019 ◽  
Vol 26 (5) ◽  
pp. 462-478 ◽  
Author(s):  
Tsung-Ting Kuo ◽  
Hugo Zavaleta Rojas ◽  
Lucila Ohno-Machado
Keyword(s):  
Systematic Review ◽  
Biomedical Research ◽  
Health Informatics ◽  
Clinical Informatics ◽  
Healthcare Applications ◽  
Software Engineers ◽  
Key Features ◽  
Technical Features ◽  
Meta Analyses ◽  
Selection Of

Abstract Objectives To introduce healthcare or biomedical blockchain applications and their underlying blockchain platforms, compare popular blockchain platforms using a systematic review method, and provide a reference for selection of a suitable blockchain platform given requirements and technical features that are common in healthcare and biomedical research applications. Target audience Healthcare or clinical informatics researchers and software engineers who would like to learn about the important technical features of different blockchain platforms to design and implement blockchain-based health informatics applications. Scope Covered topics include (1) a brief introduction to healthcare or biomedical blockchain applications and the benefits to adopt blockchain; (2) a description of key features of underlying blockchain platforms in healthcare applications; (3) development of a method for systematic review of technology, based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, to investigate blockchain platforms for healthcare and medicine applications; (4) a review of 21 healthcare-related technical features of 10 popular blockchain platforms; and (5) a discussion of findings and limitations of the review.

Machine Learning and Financial Investing

2010 ◽  
pp. 375-386
Author(s):  
Jie Du ◽  
Roy Rada
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Evolutionary Computation ◽  
Evolutionary Methods ◽  
Knowledge Based ◽  
Key Features ◽  
Selection Of

This chapter presents the case for knowledge-based machine learning in financial investing. Machine learning here, while it will exploit knowledge, will also rely heavily on the evolutionary computation paradigm of learning, namely reproduction with change and selection of the fit. The chapter will begin with a model for financial investing and then review what has been reported in the literature as regards knowledge-based and machine-learning-based methods for financial investing. Finally, a design of a financial investing system is described which incorporates the key features identified through the literature review. The emerging trend of incorporating knowledge-based methods into evolutionary methods for financial investing suggests opportunities for future researchers.

Semantic Descriptions of Web Services

2011 ◽  
pp. 31-73
Author(s):  
Farshad Hakimpour ◽  
Suo Cong ◽  
Daniela E. Damm
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Emerging Technology ◽  
Semantic Web Services ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Technical Details ◽  
Key Features ◽  
Selection Of

This chapter introduces the emerging technology of Semantic Web services. It concentrates on two dominant specifications in this domain, namely OWL-S (Web ontology language for services) and WSMO (Web services modeling ontology). We briefly introduce Web services and Semantic Web, two main technologies underlying the Semantic Web services technology and then explain most of the key features of this technology together with simplified examples. We discuss three aspects of Semantic Web services: specifications for semantic descriptions of services, intelligent discovery and selection of services using semantic descriptions, and finally, building more complex services by composing existing ones. Our main goal in this chapter is not only to present an abstract view of this technology but also the introduction of the technical details of the two existing specifications.

Machine Learning and Financial Investing

2012 ◽  
pp. 1687-1697
Author(s):  
Jie Du ◽  
Roy Rada
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Evolutionary Computation ◽  
Evolutionary Methods ◽  
Knowledge Based ◽  
Key Features ◽  
Selection Of

This chapter presents the case for knowledge-based machine learning in financial investing. Machine learning here, while it will exploit knowledge, will also rely heavily on the evolutionary computation paradigm of learning, namely reproduction with change and selection of the fit. The chapter will begin with a model for financial investing and then review what has been reported in the literature as regards knowledge-based and machine-learning-based methods for financial investing. Finally, a design of a financial investing system is described which incorporates the key features identified through the literature review. The emerging trend of incorporating knowledge-based methods into evolutionary methods for financial investing suggests opportunities for future researchers.

Network Mobility Management in the ITS Context

2012 ◽  
pp. 205-241
Author(s):  
Nerea Toledo ◽  
Marivi Higuero
Keyword(s):  
Mobility Management ◽  
Intelligent Transportation System ◽  
Network Mobility ◽  
Management Protocol ◽  
Mobility Management Protocols ◽  
Host Mobility ◽  
Key Features ◽  
Mobility Management Protocol ◽  
The One ◽  
Selection Of

The proposals suggested so far can be can be classified in two different categories: on the one hand, NEMO solutions that consider MIPv6 as the base host mobility management protocol, and on the other hand, solutions that consider alternative base host mobility management protocols like SIP, LIN6, or HIP. Besides, a taxonomy on MIPv6 based NEMO protocols classifying them by considering which characteristics they aim to enhance is provided. It is important to point out that the selection of the base host mobility management protocol is fundamental to have as many demanded key features satisfied as possible by the NEMO protocol to be applied in the Intelligent Transportation System (ITS) context.

Мethods of complex operational expert assessment of military-man-made threats in the united forces operation area

2020 ◽  
Vol 1 (1) ◽  
pp. 23-33
Author(s):  
A Mykhailova ◽  
S Chumachenko ◽  
Yе Morsch ◽  
A Partalian
Keyword(s):  
Negative Impact ◽  
Evaluation Criteria ◽  
Hierarchical Classification ◽  
Threat Assessment ◽  
Expert Assessment ◽  
Economic Systems ◽  
Key Features ◽  
Main Factors ◽  
Selection Of

The article describes the techniques and methods of application of the method of complex operational expert assessment of military- man-made threats in the United forces operation area during hostilities. As a result of the analysis of scientific sources, the key features of effective approaches and methods of assessing heterogeneous threats that are associated with man-made impacts and can lead to emergencies. The selection of criteria for a complex threat assessment is made, the procedure and factors used in the operational threat assessment are described. The main factors of negative impact of military-man-made threats on socio-ecological-economic systems, which are key in the formation of military-man-made threats, are presented. A hierarchical classification of factors of integrated operational threat assessment for the United forces operation area has been developed. A system of equations is obtained that will allow modeling the change of threats depending on the change of factors and evaluation criteria. This will allow for the rapid ranking of military-man-made threats to the United forces operation area.

Surface Production System Options for Deepwater

2002 ◽  
Author(s):  
Beverley F. Ronalds
Keyword(s):  
Water Depth ◽  
Production System ◽  
Detailed Understanding ◽  
Key Features ◽  
Surface Production ◽  
Optimum Production ◽  
Selection Of

Selection of the optimum production system for a deepwater field requires a detailed understanding of the advantages and limitations of the various alternatives. In this paper the key features of five proven deepwater platform types – FPSOs, semisubmersibles, spars, TLPs and compliant towers – are compared. Particular emphasis is placed on the interactions between wells, risers and hull and how they vary with water depth. Large fields in ultra-deepwater are a challenging combination for which few systems are ideally suited: they are constrained in their water depth, riser count, or topside capacity. The exception is the spread-moored FPSO. In future, semi’s or other multi-column floaters (with either wet or dry trees) may also see greater application, especially where well access is important or in less benign environments.

Core-Oblique Distinction and Nominalizer Choice in Japanese and Korean

2000 ◽  
Vol 24 (1) ◽  
pp. 77-102 ◽  
Author(s):  
Kaoru Horie
Keyword(s):  
Information Processing ◽  
Questionnaire Data ◽  
Case Marking ◽  
Grammatical Structures ◽  
Selection Of

It has been suggested that a core–oblique distinction is not manifested in the grammatical structures of languages like Japanese and Korean, wherein both core and oblique arguments are marked by so-called case-marking particles. This study argues, based on elicitation data from Japanese and Korean as well as Japanese questionnaire data, that a core–oblique distinction in these languages is indeed reflected in the differing selection of sentential nominalizers to mark core and oblique nominalized clauses. Furthermore, this study presents an explanation for the differing selectional patterns of core and oblique marking sentential nominalizers from the viewpoints of markedness and information processing.

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