scholarly journals Transformation of Personal Computers and Mobile Phones into Genetic Diagnostic Systems

2014 ◽  
Vol 86 (18) ◽  
pp. 9236-9241 ◽  
Author(s):  
Faye M. Walker ◽  
Kareem M. Ahmad ◽  
Michael Eisenstein ◽  
H. Tom Soh
Keyword(s):  
Mobile Phones ◽  
Personal Computers ◽  
Diagnostic Systems

scholarly journals DEVELOPING ONLINE PRACTICE TESTS TO CHECK THE ACQUISITION OF IDIOMATIC EXPRESSIONS WITH ANIMALS

2020 ◽  
pp. 54-63
Author(s):  
Vanya Ivanova ◽  
Gergana Petkova
Keyword(s):  
Mobile Phones ◽  
Native Speakers ◽  
Test Construction ◽  
Personal Computers ◽  
Practice Tests ◽  
Idiomatic Expressions ◽  
Typical Test

Idiomatic expressions, a large number of which refer to animals, are widely used in English since they tend to add color to the language and make everyday speech more interesting and exciting for native speakers. However, these expressions pose difficulties for learners of English as their meaning is not deductible from the meanings of the words comprising it. Furthermore, the meaning may not have any relation to the animals that they feature or there may not be a correspondence of similar expressions in the learners’ mother tongues. Therefore, strategies to facilitate learning are needed and some of them, which can help students remember idioms more easily, are described in this article. Emphasis is placed on online practice tests, which check the acquisition of idiomatic expressions and facilitate their longterm retention. Practice tests are designed by the teacher and done by students on their personal computers or mobile phones at their own convenience. Also, some criteria specifically developed to enhance test construction are listed together with typical test questions based on them. Examples of different tasks are presented to illustrate the process of test creation. Finally, an appendix of some of the most commonly used idiomatic expressions with animals is included.

Design and Implementation of Multiplatform Mobile-Learning Environment as an Extension of SCORM 2004 Specifications

2010 ◽  
pp. 164-181
Author(s):  
Kiyoshi Nakabayashi
Keyword(s):  
Learning Environment ◽  
Mobile Phones ◽  
Personal Computers ◽  
Adaptive Function ◽  
Server Side ◽  
Learning Content ◽  
Offline Learning ◽  
Application Programming ◽  
Level Of Knowledge ◽  
Common Content

A learner-adaptive self-learning environment has been developed in which both mobile phones and personal computers can be used as client terminals. The learner-adaptive function has been implemented using SCORM 2004 specifications. The specifications were extended to enable offline learning using mobile phones. Because the application-programming environment of mobile phones varies from carrier to carrier, a common content format was specified for the learning content and content-execution mechanisms were developed for each carrier’s environment to maximize content-platform interoperability. The latest learning results achieved by using mobile phones were synchronized with the latest ones on the server-side sequencing engine so that the learner-adaptive function was available from personal computers as well. The system can provide adaptive courses such that the results of a pre-test taken on mobile phones can modify the lecture content on personal computers, fitting them to each learner’s level of knowledge and understanding. The functionality and usability of the system was evaluated through two trial experiments, the first of which involved adult learners and the second with small children and their parents.

scholarly journals HYGIENIC EVALUATION OF THE EFFECT OF ELECTROMAGNETIC FACTORS OF COMMUNICATION DEVICES ON THE STATE OF STUDENT’S HEALTH

2019 ◽  
Vol 96 (10) ◽  
pp. 1001-1003
Author(s):  
Svetlana G. Yashchenko ◽  
S. Yu. Rybalko ◽  
O. A. Pilunskay ◽  
S. E. Shibanov
Keyword(s):  
Mobile Phones ◽  
Prevalence Rate ◽  
Respiratory Diseases ◽  
Negative Relationship ◽  
Self Esteem ◽  
Personal Computers ◽  
Health State ◽  
Communication Devices ◽  
The Individual ◽  
The University

During the study at the University, the amount of information received by students is significantly increased. This causes the wide use of modern communication devices (personal computers, tablets, mobile phones). A feature of their using is the finding of a person in the immediate vicinity of a source of electromagnetic radiation. In the work, there was made an assessment of the intensity of the use of communication devices by students from 2000 to 2014. The students surveyed had an increase in electromagnetic load from personal computers (PC) by 2.83 times, mobile phones (MР) - by 20.34 times. During the same period, the health state of students was monitored. The level and nature of diseases, the features of nutrition, lifestyle were assessed. The incidence of respiratory diseases, diseases of the nervous system and sensory organs appeared to be the highest. Neoplasms, endocrine pathology, blood and hemopoietic diseases and a number of other diseases are few, heterogeneous and have a beginning most often before admission to the university. For the period of observation, the number of students who never fell ill during the whole period of training decreased by 32.67% against the background of a study of the nature of nutrition, motor activity, the prevalence of bad habits and self-esteem of their health status. During the correlation analysis, reliable positive connections were established between the prevalence rate of eye diseases and the individual dose-bearing electromagnetic load (IDEL) of MP and PC. There was established the negative relationship between MP IDEL and the prevalence rate of ear diseases, positive relationship was found between PC IDEL and prevalence rate of respiratory diseases.

COMPARITIVE ANALYSIS OF DIFFERENT MOBILE OPERATING SYSTEM

2018 ◽  
Vol 8 (3) ◽  
pp. 63
Author(s):  
Rahul Kumar
Keyword(s):  
Operating System ◽  
Mobile Phones ◽  
Personal Computers ◽  
Mp3 Player

Now a days there are various Operating system for the mobile phones.  An operating system is a platform that is used to run the different kinds of applications in the tablets, smartphones, smart watches and other devices. Mobile Operating system has a feature of personal computers and other mobile features like Wi-Fi, GPS, Camera, recorder, Mp3 player etc. In this paper we analyzed about various mobile operating system.

scholarly journals An Update to the iLab Shared Architecture for Mobile Device Support

2017 ◽  
Vol 13 (02) ◽  
pp. 87
Author(s):  
Olawale Babatunde Akinwale ◽  
Lawrence Olakunle Kehinde
Keyword(s):  
Mobile Devices ◽  
Mobile Phones ◽  
Mobile Device ◽  
Personal Computers ◽  
Massachusetts Institute ◽  
Massachusetts Institute Of Technology ◽  
Virtual Laboratories ◽  
Online Laboratories ◽  
Remote Laboratories ◽  
Institute Of Technology

A number of remote laboratories and virtual laboratories have been created which support the mobile devices factor. The focus of a number of researchers at present is on the platforms which supports these online laboratories. This paper presents the solution we developed. The platform we developed is a modification of the iLab Shared Architecture (ISA) which was originally created by the Massachusetts Institute of Technology. It was expanded to include SMS services and WebSocket services. The goal was to ensure that it is able to support all mobile phones and tablets. Feature phones can perform experiments via SMS and tablets can use HTML5 based applications while personal computers can use the original ISA services.

Screens

Abundance ◽  
2021 ◽  
pp. 27-56
Author(s):  
Pablo J. Boczkowski
Keyword(s):  
Socioeconomic Status ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Structural Factor ◽  
Body Part ◽  
Personal Computers ◽  
Difficult Time ◽  
And Gender

Chapter 2 focuses on the experience of using three types of personal screens: mobile phones, personal computers, and television sets. The survey shows that age trumps socioeconomic status and gender as the main structural factor in who accesses which devices and how frequently they are used. The interviews reveal the centrality of the meanings interviewees attribute to their different devices, and that orient their experiences of them. Thus, to many interviewees the mobile phone has become a prosthetic, an artificial body part with which they have a difficult time parting; the computer a tool they use primarily for work or study or both; and, the television set a companion, often turned on but in the background. The phone’s prosthetic quality is tied to the significant level of attachment people feel to the device. The chapter ends with a discussion about how the uptake of mobile phones is tied to a reconstitution of sociality.

Design and Implementation of Multiplatform Mobile-Learning Environment as an Extension of SCORM 2004 Specifications

2012 ◽  
pp. 255-272
Author(s):  
Kiyoshi Nakabayashi
Keyword(s):  
Learning Environment ◽  
Mobile Phones ◽  
Personal Computers ◽  
Adaptive Function ◽  
Server Side ◽  
Learning Content ◽  
Offline Learning ◽  
Application Programming ◽  
Level Of Knowledge ◽  
Common Content

A learner-adaptive self-learning environment has been developed in which both mobile phones and personal computers can be used as client terminals. The learner-adaptive function has been implemented using SCORM 2004 specifications. The specifications were extended to enable offline learning using mobile phones. Because the application-programming environment of mobile phones varies from carrier to carrier, a common content format was specified for the learning content and content-execution mechanisms were developed for each carrier’s environment to maximize content-platform interoperability. The latest learning results achieved by using mobile phones were synchronized with the latest ones on the server-side sequencing engine so that the learner-adaptive function was available from personal computers as well. The system can provide adaptive courses such that the results of a pre-test taken on mobile phones can modify the lecture content on personal computers, fitting them to each learner’s level of knowledge and understanding. The functionality and usability of the system was evaluated through two trial experiments, the first of which involved adult learners and the second with small children and their parents.

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