Intermittent Motivational Interviewing and Transdiagnostic CBT for Anxiety: A Case Study

2019 ◽  
Vol 18 (4) ◽  
pp. 300-318 ◽  
Author(s):  
Isabella Marker ◽  
Peter J. Norton
Keyword(s):  
Treatment Outcome ◽  
Motivational Interviewing ◽  
Integrated Approach ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Future Research Directions ◽  
Clinically Significant

Recent meta-analytic findings have revealed that the addition of motivational interviewing (MI) to cognitive behavior therapy (CBT) for anxiety disorders improves treatment outcome. However, for the most part, previous research has limited MI as a prelude to CBT. This article explored the benefits and complications of a more integrated approach by adapting and examining an already established transdiagnostic CBT protocol to include intermittent MI strategies. The presented protocol is described and illustrated using a case study of a woman meeting criteria for four anxiety disorder diagnoses. This study presents session-by-session treatment accounts, as well as pre, post, and follow-up data. Results indicated clinically significant improvement, supporting the utility of intermittent MI strategies within CBT. Implementation recommendations and future research directions are discussed.

Interpersonal Psychotherapy for the Treatment of Eating Disorders

2010 ◽  
pp. 347-372 ◽  
Author(s):  
Marian Tanofsky-Kraff ◽  
Denise E. Wilfley
Keyword(s):  
Anorexia Nervosa ◽  
Clinical Care ◽  
Interpersonal Psychotherapy ◽  
Future Research ◽  
Cognitive Behavior ◽  
Research Directions ◽  
Routine Clinical Care ◽  
Interpersonal Factors ◽  
Future Research Directions

Interpersonal psychotherapy (IPT) is a focused, time-limited treatment that targets interpersonal problem(s) associated with the onset and/or maintenance of EDs. IPT is supported by substantial empirical evidence documenting the role of interpersonal factors in the onset and maintenance of EDs. IPT is a viable alternative to cognitive behavior therapy for the treatment of bulimia nervosa and binge eating disorder. The effectiveness of IPT for the treatment of anorexia nervosa requires further investigation. The utility of IPT for the prevention of obesity is currently being explored. Future research directions include enhancing the delivery of IPT for EDs, increasing the availability of IPT in routine clinical care settings, exploring IPT adolescent and parent–child adaptations, and developing IPT for the prevention of eating and weight-related problems that may promote full-syndrome EDs or obesity.

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Achieving Excellence in Teaching

2013 ◽  
pp. 280-290
Author(s):  
Iain Doherty
Keyword(s):  
Professional Development ◽  
Systemic Change ◽  
Future Research ◽  
Teaching Improvement ◽  
Research Directions ◽  
Teaching Culture ◽  
Future Research Directions ◽  
Educational Professional ◽  
Excellence In Teaching

The purpose of this chapter is to examine the challenges of achieving systemic change in the teaching culture of a research-intensive university. The chapter makes use of a teaching improvement case study to identify both the challenges and the solutions to engaging academics in a research-intensive university with educational professional development. Ongoing issues are identified and future research directions are presented.

“I'm Not Simply Dealing with Some Heartless Computer”

2016 ◽  
pp. 160-184
Author(s):  
Peggy Lynn Semingson ◽  
Pete Smith
Keyword(s):  
Case Analysis ◽  
Future Research ◽  
Video Conference ◽  
Master's Level ◽  
Research Directions ◽  
Language Analysis ◽  
Literacy Course ◽  
Future Research Directions ◽  
Cross Case Analysis

This chapter provides a case study example using cross-case analysis (Merriam, 2001) of digital mentoring within an online Master's level literacy course at a large public university in the Southwest United States. Two mentors provided individualized video conference sessions, using Blackboard Collaborate™ to 28 students (mentees). Data included written reflections from students as well as transcripts from selected videoconference sessions. Structured synchronous mentoring sessions provided a predictable framework for students and mentors alike. This chapter provides an analysis of the students' perceptions of the conferences, the types of discourse patterns and language analysis of the conferences, as well as description of themes and trends across the data. Suggestions on the usefulness of the conferences as well as the structure of mentoring sessions are described in the chapter. Established and emerging models of mentorship and e-development are outlined and utilized to frame the analyses and future research directions.

scholarly journals Integrating supercomputing clusters into education: a case study in biotechnology

2020 ◽  
Author(s):  
Álvaro Fernández ◽  
Camino Fernández ◽  
José-Ángel Miguel-Dávila ◽  
Miguel Á. Conde
Keyword(s):  
Higher Education ◽  
Educational Process ◽  
Future Research ◽  
Research Directions ◽  
Science Technology ◽  
Future Research Directions ◽  
Technological Skills ◽  
And Mathematics ◽  
Course Of Study

Abstract The integration of a Supercomputer in the educational process improves student’s technological skills. The aim of the paper is to study the interaction between science, technology, engineering, and mathematics (STEM) and non-STEM subjects for developing a course of study related to Supercomputing training. We propose a flowchart of the process to improve the performance of students attending courses related to Supercomputing. As a final result, this study highlights the analysis of the information obtained by the use of HPC infrastructures in courses implemented in higher education through a questionnaire that provides useful information about their attitudes, beliefs and evaluations. The results help us to understand how the collaboration between institutions enhances outcomes in the education context. The conclusion provides a description of the resources needed for the improvement of Supercomputing Education (SE), proposing future research directions.

scholarly journals Human Safety in Autonomous Transport Systems – Review and Case Study

2021 ◽  
Vol 51 (1) ◽  
pp. 57-71
Author(s):  
Alicja Dąbrowska ◽  
Robert Giel ◽  
Sylwia Werbińska-Wojciechowska
Keyword(s):  
Human Detection ◽  
Robotic Systems ◽  
Transport Systems ◽  
Future Research ◽  
Research Gaps ◽  
Research Directions ◽  
Human Safety ◽  
Storage Area ◽  
Future Research Directions

Abstract During the robot's operational tasks, a key issue is its reliability in the aspect of human safety providing. Currently, there are a number of methods used to detect people, and their selection most often depends on the type of process carried out by robots. Therefore, the article is focused on the development of a comparative analysis of selected methods of human detection in the storage area. The main aspect in the context of which these systems were compared concerned the safety of robotic systems in the space of human occurrence. Main advantages and drawbacks of the methods in various applications were presented. The detailed analysis of the achievements in this area gives the possibility to identify research gaps and possible future research directions when using these tools in autonomous warehouses designing processes.

scholarly journals Compressing Large-Scale Transformer-Based Models: A Case Study on BERT

2021 ◽  
Vol 9 ◽  
pp. 1061-1080
Author(s):  
Prakhar Ganesh ◽  
Yao Chen ◽  
Xin Lou ◽  
Mohammad Ali Khan ◽  
Yin Yang ◽  
...  
Keyword(s):  
Language Processing ◽  
Large Scale ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Research Attention ◽  
Model Compression ◽  
Future Research Directions ◽  
Or Applications

Abstract Pre-trained Transformer-based models have achieved state-of-the-art performance for various Natural Language Processing (NLP) tasks. However, these models often have billions of parameters, and thus are too resource- hungry and computation-intensive to suit low- capability devices or applications with strict latency requirements. One potential remedy for this is model compression, which has attracted considerable research attention. Here, we summarize the research in compressing Transformers, focusing on the especially popular BERT model. In particular, we survey the state of the art in compression for BERT, we clarify the current best practices for compressing large-scale Transformer models, and we provide insights into the workings of various methods. Our categorization and analysis also shed light on promising future research directions for achieving lightweight, accurate, and generic NLP models.

Conclusion

2008 ◽  
pp. 222-239
Author(s):  
Yogesk K. Dwivedi
Keyword(s):  
Case Study Research ◽  
Future Research ◽  
Policy And Practice ◽  
Research Directions ◽  
Study Research ◽  
The Future ◽  
Future Research Directions ◽  
The Uk

This chapter provides a conclusion of the results and discussions of the UK case study research presented in this book. The chapter begins with an overview of this research in the next section. This is followed by the main conclusions drawn from this research. Following this, a discussion of the research contributions and implications of this research in terms of the theory, policy and practice is provided. This is ensued by the research limitations, and a review of the future research directions in the area of broadband diffusion and adoption. Finally, a summary of the chapter is provided.

Minimal important changes and differences in elective hand surgery

2014 ◽  
Vol 40 (9) ◽  
pp. 900-912 ◽  
Author(s):  
J. N. Rodrigues ◽  
N. T. Mabvuure ◽  
D. Nikkhah ◽  
Z. Shariff ◽  
T. R. C. Davis
Keyword(s):  
Outcome Measures ◽  
Hand Surgery ◽  
Future Research ◽  
Level Of Evidence ◽  
Research Directions ◽  
Future Research Directions ◽  
Minimal Important Differences

Minimal important changes and differences describe the smallest changes and differences between individuals that are relevant to patients following treatment. Minimal important differences may vary between conditions, treatments and lengths of follow-up, and can be calculated in different ways. Minimal important differences for elective hand surgery were reviewed. A total of 99 minimal important differences were identified in 29 articles. The conditions, treatments, outcome measures used and follow-up periods are discussed. The Disabilities of the Arm, Shoulder and Hand had the most estimates of minimal important differences, but these varied. The methods used in the included studies were reviewed and appraised. Most minimal important differences were calculated using retrospective anchors. Future research directions in this area are suggested. Level of evidence: II

scholarly journals Eating Disorders and Obesity: The Challenge for Our Times

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1055 ◽  
Author(s):  
Phillipa Hay ◽  
Deborah Mitchison
Keyword(s):  
Eating Disorders ◽  
Integrated Approach ◽  
Future Research ◽  
Obesity Risk ◽  
Special Issue ◽  
Eating Behaviours ◽  
Research Papers ◽  
Research Directions ◽  
Future Research Directions ◽  
Made In

Public health concerns largely have disregarded the important overlap between eating disorders and obesity. This Special Issue addresses this neglect and points to how progress can be made in preventing and treating both. Thirteen primary research papers, three reviews, and two commentaries comprise this Special Issue. Two commentaries set the scene, noting the need for an integrated approach to prevention and treatment. The empirical papers and reviews fall into four broad areas of research: first, an understanding of the neuroscience of eating behaviours and body weight; second, relationships between disordered eating and obesity risk; third, new and integrated approaches in treatment; and fourth, assessment. Collectively, the papers highlight progress in science, translational research, and future research directions.

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