Thesis (M. Med. Sc.)--University of Hong Kong, 2005.

Thesis (M.M.E.) Florida State University, 2007. / Advisor: Steven Kelly, Florida State University, College of Music. Title and description from dissertation home page (viewed 10-8-2007). Document formatted into pages; contains 72 pages. Includes biographical sketch. Includes bibliographical references.

Thesis (M.H.A.)--University of Michigan, 1966.

Thesis (M.H.A.)--University of Michigan, 1965.

Thesis (M.H.A.)--University of Michigan, 1966.

Thesis (M.H.A.)--University of Michigan, 1965.

Master of Science / Department of Computing and Information Sciences / Daniel A. Andresen / TV Schedules App for iPhone/iPod Touch is an interactive App that helps users to keep up-to-date with favorite TV Shows by displaying the airing time and date of the upcoming episode. The primary focus was to get familiar with Cocoa Touch framework and Objective-C programming language to provide an intuitive GUI to enable users to add and remove favorite TV shows from a list. The App not only provides an easy and convenient way to keep track of the upcoming episodes but also allows the users to be notified minutes before the upcoming episode is about to be aired.

Kin-hong Wong. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1992. / Includes bibliographical references (leaves 67-70). / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- Literature Review --- p.4 / Chapter 2.1 --- Modelling --- p.4 / Chapter 2.1.1 --- Integer Programming Model --- p.4 / Chapter 2.1.2 --- Network Flow Model --- p.6 / Chapter 2.1.3 --- Graph Colouring Model --- p.8 / Chapter 2.2 --- Heuristic Approach --- p.10 / Chapter 2.2.1 --- Lesson Selection Strategy --- p.11 / Chapter 2.2.2 --- Time Slot Selection Strategy --- p.12 / Chapter 2.2.3 --- Conflict handling Strategy --- p.13 / Chapter 2.3 --- Remarks --- p.15 / Chapter Chapter 3 --- Project Overview --- p.16 / Chapter 3.1 --- The Work Flow --- p.16 / Chapter 3.2 --- System Objectives --- p.17 / Chapter 3.3 --- An Incremental Construction Approach --- p.18 / Chapter 3.4 --- A Decision Support System --- p.19 / Chapter Chapter 4 --- Task Analysis --- p.21 / Chapter 4.1 --- Three-Stage Task Model --- p.21 / Chapter 4.1.1 --- Conflict Free (CF) Stage --- p.22 / Chapter 4.1.2 --- Conflict Avoidance (CA) Stage --- p.23 / Chapter 4.1.3 --- Conflict Resolution (CR) Stage --- p.24 / Chapter 4.2 --- System Supports --- p.24 / Chapter 4.2.1 --- Supports for CF Stage --- p.24 / Chapter 4.2.2 --- Supports for CA Stage --- p.25 / Chapter 4.2.3 --- Supports for CR Stage --- p.25 / Chapter Chapter 5 --- System Design --- p.27 / Chapter 5.1 --- User Interface --- p.28 / Chapter 5.2 --- Data Model --- p.28 / Chapter 5.2.1 --- Timetable Structure --- p.30 / Chapter 5.2.2 --- Resource Lists --- p.31 / Chapter 5.2.3 --- Lesson List --- p.33 / Chapter 5.2.4 --- History Log --- p.34 / Chapter 5.3 --- Operational Tools --- p.35 / Chapter 5.3.1 --- Elementary Scheduling Functions --- p.35 / Chapter 5.3.2 --- AUTO Function --- p.36 / Chapter 5.3.3 --- FLAG/COMMIT/ABORT --- p.37 / Chapter 5.4 --- Analytical Tools --- p.39 / Chapter 5.4.1 --- Availability Table --- p.39 / Chapter 5.4.2 --- Operation History --- p.39 / Chapter 5.4.3 --- Slot Finder --- p.40 / Chapter 5.4.4 --- Scheduling Priority --- p.42 / Chapter 5.5 --- Remarks --- p.43 / Chapter Chapter 6 --- System Evaluation --- p.45 / Chapter 6.1 --- Case 1 --- p.46 / Chapter 6.2 --- Case 2 --- p.46 / Chapter 6.3 --- Case 3 --- p.47 / Chapter 6.4 --- Remarks --- p.48 / Chapter Chapter 7 --- Further Works --- p.50 / Chapter 7.1 --- Algorithmic Tools --- p.50 / Chapter 7.2 --- Post-Scheduling Room Assignment --- p.52 / Chapter 7.3 --- Input and Output Processors --- p.53 / Chapter 7.4 --- Electronic Tutorial Subsystem --- p.54 / Chapter 7.5 --- Task-Model-Based Help Subsystem --- p.54 / Chapter Chapter 8 --- Conclusions --- p.56 / Chapter Appendix A --- Database Definition --- p.58 / Chapter Appendix B --- Conflict Resolution Algorithm --- p.61 / Chapter Appendix C --- System Specification --- p.63 / References --- p.67

Video modeling is a research-based intervention used to teach play skills to children with autism. While children learn to imitate the play behaviors seen in the video, increases in play behaviors different from the video were not apparent. The current study examined the use of video modeling and video modeling with an added lag schedule of reinforcement, on increasing toy play of five children with autism in their homes. During video modeling, the children watched a short video portraying a person playing with toy figurines. Then, they were given the toys and instructed to play independently for 5-min. During the video model with lag schedule reinforcement, praise and preferred snacks were provided when his or her toy play was different from immediately preceding responses during the play session. A nonconcurrent multiple baseline across participants design was used to examine the effects. Overall results indicated that the children learned scripted toy play and increased in levels of varied play, but did not increase significantly nor decrease in levels of unscripted toy play from baseline. Even with the additional reinforcement, the children’s play did not increase in levels of varied play, scripted or unscripted play behaviors for four of five participants. Social validity of the child’s play outcomes and the perceived ease of use of the intervention were assessed using questionnaires filled out by parents and behavioral therapists. Discussion, limitations, and implications for future research are presented. / text

Thesis (M. P. H.)--University of Hong Kong, 2006. / Also available in print.