Time-delay discrimination training with impulsive children: Self-monitoring nonwait responses and the dimensions of prompts

1988 ◽  
Vol 16 (6) ◽  
pp. 693-706 ◽  
Author(s):  
Paul M. Smeets ◽  
Sebastian Striefel
1988 ◽  
Vol 45 (2) ◽  
pp. 303-318 ◽  
Author(s):  
Paul M Smeets ◽  
Giulio E Lancioni ◽  
Sandy N Leonard ◽  
Sebastian Striefel

1987 ◽  
Vol 37 (4) ◽  
pp. 507-521 ◽  
Author(s):  
Paul M. Smeets ◽  
Giulio E. Lancioni ◽  
Sebastian Striefel

1988 ◽  
Vol 46 (3) ◽  
pp. 337-361 ◽  
Author(s):  
Paul M Smeets ◽  
Giulio E Lancioni ◽  
Sebastian Striefel

Author(s):  
Bei Yang

Abstract This study explores the relationship between the prosodic features for time delay, self-monitoring in speech production, and perceived dysfluency. In this study, twenty native and non-native speakers of Chinese took a speech test. Each speech was transcribed, prosodic features were assigned symbols, and the coding system traced self-monitoring. An additional twenty-eight native speakers assessed the fluency of the speech samples, and then the researcher matched assessment results with symbols and coding, and analyzed them. The results indicate that uh/um and self-monitoring influence perceived dysfluency in most cases while other prosodic features do not; that the filled pause in non-native speech is a salient feature of perceived dysfluency; and how a dysfluency is perceived. The study also finds the native speakers’ perception bias.


Author(s):  
Lorna K. Mayo ◽  
Kenneth C. Moore ◽  
Mark A. Arnold

An implantable artificial endocrine pancreas consisting of a glucose sensor and a closed-loop insulin delivery system could potentially replace the need for glucose self-monitoring and regulation among insulin dependent diabetics. Achieving such a break through largely depends on the development of an appropriate, biocompatible membrane for the sensor. Biocompatibility is crucial since changes in the glucose sensors membrane resulting from attack by orinter action with living tissues can interfere with sensor reliability and accuracy. If such interactions can be understood, however, compensations can be made for their effects. Current polymer technology offers several possible membranes that meet the unique chemical dynamics required of a glucose sensor. Two of the most promising polymer membranes are polytetrafluoroethylene (PTFE) and silicone (Si). Low-voltage scanning electron microscopy, which is an excellent technique for characterizing a variety of polymeric and non-conducting materials, 27 was applied to the examination of experimental sensor membranes.


2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


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