Pre-encoding based statistical-multiplexing for hybrid delivery of UHD services using SHVC

2016 ◽  
Author(s):  
Thibaud Biatek ◽  
Wassim Hamidouche ◽  
Jean-Francois Travers ◽  
Olivier Deforges
Keyword(s):  
Statistical Multiplexing ◽  
Hybrid Delivery

Designed Learner Interactions in Blended Course Delivery

2011 ◽  
Vol 15 (1) ◽  
Author(s):  
Reba-Anna Lee ◽  
Brian Dashew
Keyword(s):  
Instructional Design ◽  
Best Practices ◽  
Design Process ◽  
Course Delivery ◽  
Student Interactions ◽  
Face To Face ◽  
Instructional Design Process ◽  
Hybrid Delivery ◽  
Academic Technology ◽  
Blended Course

In transitioning to a hybrid delivery model, faculty are presented with an opportunity to engage in a systematic instructional design process which can bring coursework in line with pedagogical best practices that may not exist in traditional face-to-face classes. This paper presents a model whereby Marist College Academic Technology & eLearning staff focuses faculty attention on designing effective student interactions with content, the instructor, and other students. These interactions promote deeper levels of engagement in student learning.

Control of ATM statistical multiplexing performance

1990 ◽  
Vol 20 (1-5) ◽  
pp. 351-360 ◽  
Author(s):  
Gillian Woodruff ◽  
Rungroj Kostpaiboon ◽  
Gordon Fitzpatrick ◽  
Philip Richards
Keyword(s):  
Statistical Multiplexing

An analysis of statistical multiplexing in an ATM transport network

1991 ◽  
Vol 9 (3) ◽  
pp. 359-367 ◽  
Author(s):  
H. Saito ◽  
M. Kawarasaki ◽  
H. Yamada
Keyword(s):  
Transport Network ◽  
Statistical Multiplexing

scholarly journals Study Protocol: A Hybrid Delivery of Home-Based Cluster Set Resistance Training for Individuals Previously Treated for Lung Cancer

2021 ◽  
Author(s):  
Ciaran M Fairman ◽  
Otis L Owens ◽  
Kristina L Kendall ◽  
James Steele ◽  
C Latella ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Resistance Training ◽  
Physical Function ◽  
Physical Decline ◽  
Hybrid Delivery ◽  
Cluster Set ◽  
Home Based ◽  
Cluster Sets

Abstract Background: Symptom burden remains a critical concern for individuals with non-small cell lung cancer (NSCLC) following the completion of treatment. The most common symptom clusters, dyspnea (shortness of breath) and fatigue,can contribute to physical decline, reductions in quality of life, and a higher risk of comorbidities and mortality. Dyspnea is a primary limiter of exercise capacity in individuals with lung cancer, resulting in exercise avoidance and an accelerated physical decline. As such, designing resistance training with cluster sets to mitigate symptoms of dyspnea and fatigue may result in improved exercise tolerance. Thus, maintainingthe exercise stimulus via cluster sets, combined with improved tolerance of the exercise, could result in maintenance of physical function and quality of life. The purpose of this study is to investigate the feasibility and preliminary efficacy of a hybrid-delivery home-based cluster-set resistance training program in individuals with NSCLC. Methods: Individuals with NSCLC (n=15), within 12-months of completion of treatment will be recruited to participate in this single arm feasibility trial. Participants will complete 8-weeks of home-based resistance training designed to minimizedyspnea and fatigue. The hybrid-delivery of the program will include supervised sessions in the participants’ home, and virtual supervision via video conferencing. The primary outcome of feasibility will be quantifiedby recruitment rates, retention, acceptability, and intervention fidelity. Exploratory outcomes (dyspnea, fatigue, quality of life, physical function, and body composition) will be assessed pre- and post- intervention. Discussion: This study will provide important data on the feasibility of delivering this intervention and inform procedures for a future randomized controlled trial. Trial Registration: Record not yet public

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