Computer‐Assisted Prescription: The Future of Nutrition Care?

2020 ◽  
Author(s):  
Jean‐Charles Preiser ◽  
Steven Laureys ◽  
Arthur Raymond Hubert Zanten ◽  
André Van Gossum
Keyword(s):  
Computer Assisted ◽  
Nutrition Care ◽  
The Future

Computer-assisted database indexing: the state-of-the-art

1994 ◽  
Vol 19 (1) ◽  
pp. 23-27
Author(s):  
Gail M. Hodge
Keyword(s):  
Data Base ◽  
Production System ◽  
State Of The Art ◽  
The State ◽  
Computer Support ◽  
Computer Assisted ◽  
Computer Assistance ◽  
The Future ◽  
Database Indexing ◽  
Operational Systems

Discusses the state-of-the-art in computer indexing, defines indexing and computer assistance, describes the reasons for renewed interest, identifies the types of computer support in use using selected operational systems, describes the integration of various computer supports in one data base production system, and speculates on the future.

The Establishment and Management of a Production Data Exchange Group

2005 ◽  
Vol 21 (02) ◽  
pp. 73-80
Author(s):  
Gregory F. Morea
Keyword(s):  
Data Exchange ◽  
Production Data ◽  
Computer Assisted ◽  
Product Model ◽  
Aircraft Carrier ◽  
Exchange Group ◽  
Digital Format ◽  
Marine Industry ◽  
The Future ◽  
Design And Construction

The design and construction of any marine vessel designed on a computer-assisted design (CAD) system, from a nuclear aircraft carrier to the smallest work boat, requires the interaction of many electronic databases, all of which must be continually updated for the work to proceed. The exchange of this information, especially geometry, in digital format is accomplished using many different tools and techniques. Much has been presented to the marine community about the tools used, such as the Initial Graphics Exchange Specification (IGES) and the Standard for the Exchange of Product Model Data (STEP), and how these tools might be used for exchanges in the future, but little has been presented on how production data exchanges actually occur. At Electric Boat, current submarine programs cannot wait for future data transfer solutions. Design and construction data must be exchanged among various activities, internal and external, with such volume as to make manual reentry of data an unrealistic solution. Because of the complexities associated with the electronic exchange of these data, the General Dynamics (GD) Marine organization of Electric Boat has a dedicated group that both performs production data exchanges and researches and implements new methods of electronic transfer. This paper discusses the rationale for and the formation of the data exchange group at Electric Boat, along with its place within GD Marine. It then presents an overview of the tools used by the group and how production transfers occur, both routine and unique. Notable transfers provide examples of how the group works to solve transfer problems. Importantly, this paper shows how many of the exchange standards developed for the marine industry actually work in production. Special emphasis will be placed on the exchange of solid models in a day-to-day environment. The paper concludes with a look at the future of production data exchanges for Electric Boat and the larger marine industry.

scholarly journals Translator Education at a Crossroads:the Impact of Automation

2019 ◽  
Vol 64 (1) ◽  
pp. 103-121 ◽  
Author(s):  
Begoña Rodríguez de Céspedes
Keyword(s):  
Machine Translation ◽  
New Technologies ◽  
Service Providers ◽  
Computer Assisted ◽  
Daily Lives ◽  
Translation Tools ◽  
Technological Competence ◽  
The Future ◽  
The Impact ◽  
Translator Education

Abstract Automation is affecting all spheres of our daily lives and humans are adapting both to the challenges that it poses and the benefits that it brings. The translation profession has also experienced the impact of new technologies with Language Service Providers adapting to changes (Presas/Cid-Leal/Torres-Hostench 2016; Sakamoto/Rodríguez de Céspedes/Evans/Berthaud 2017). Translation trainers are not oblivious to this phenomenon. There have indeed been efforts to incorporate the teaching of digital translation tools and new technologies in the translation classroom (Doherty/Kenny/Way 2012; Doherty/Moorkens 2013; Austermühl 2013; O’Hagan 2013; Gaspari/Almaghout/Doherty 2015; Moorkens 2017) and many translation programmes in Europe are adapting their curricula to incorporate this necessary technological competence (Rothwell/Svoboda 2017). This paper reflects on the impact that automation and, more specifically machine translation and computer assisted tools, have and will have on the future training of translators and on the balance given by translation companies to language and technological skills.

scholarly journals REVIEW: Lesson for the internet Down Under

2001 ◽  
Vol 7 (1) ◽  
pp. 182-183
Author(s):  
Bob Haworth
Keyword(s):  
Information Quality ◽  
The Internet ◽  
Computer Assisted ◽  
The Future ◽  
New Millennium

Review of Newsgathering on the Net, edited by Stephen Quinn. Second edition. Melbourne: Macmillan. Chapter One covers journalistic skills for the new millennium and my favourite subject CAR- computer assisted reporting. Other simply presented chapters include explaining the jargon of the Net, managing bookmarks, email for newsgathering, listservers and newsgroups for news gathering, assessing information quality, and a look at the future. 

Portable Handheld Language Learning from CALL MALL to PALL

2011 ◽  
pp. 539-553 ◽  
Author(s):  
Chaka Chaka
Keyword(s):  
Language Learning ◽  
Mobile Learning ◽  
Virtual Learning ◽  
Handheld Devices ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Mobile Assisted Language Learning ◽  
The Future ◽  
E Learning ◽  
Definition Of

This chapter explores aspects of portable handheld language learning that are likely to benefit many mobile assisted language learning (MALL) practitioners. Portable handheld language learning refers to mobile, virtual, and ubiquitous language learning mediated through mobile handheld devices. Currently, both computer assisted language learning (CALL) and MALL seem to dominate the act of language learning. Against this background the chapter first provides a brief review of CALL, highlighting CALL technologies helping mediate language learning. Second, it delineates features typifying e-Learning and contends that CALL is more closely linked to traditional e-Learning than MALL. Third, it provides empirical instances of MALL and argues that the future of language learning lies more with MALL and especially with pen assisted language learning (PALL) than with CALL. Finally, it maintains that an all-encompassing and multidimensional definition of mobile learning is necessary if MALL is to evolve into a mainstream virtual learning enterprise.

Is computer-assisted rescaffolding the future in lead generation?

2013 ◽  
Vol 5 (3) ◽  
pp. 237-239
Author(s):  
Gerhard Hessler ◽  
Karl-Heinz Baringhaus
Keyword(s):  
Computer Assisted ◽  
The Future ◽  
Lead Generation

The Current Status of Computer Literacy: NAEP Results for Secondary Students

1980 ◽  
Vol 73 (9) ◽  
pp. 669-673
Author(s):  
Thomas P. Carpenter ◽  
Mary Kay Corbitt ◽  
Henry S. Kepner ◽  
Mary Montgomery Lindquist ◽  
Robert E. Reys
Keyword(s):  
Secondary Students ◽  
Medical Diagnosis ◽  
Computer Literacy ◽  
Computer Systems ◽  
Educational Programs ◽  
Current Status ◽  
Computer Assisted ◽  
Computer Assisted Learning ◽  
The Future

Computers have become an integral part of our society, as seen for example, in twenty-four-hour banks, computerized bills and paychecks, computer-assisted learning, computerized medical diagnosis and care, and computerized appliances. Since such diverse applications of computers are already commonplace and promise to increase in the future, it is important that our educational programs inform and prepare students with respect to the potential capability of computer systems as well as for the direct implications they have on our lives.

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