Minimal important changes and differences in elective hand surgery

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

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

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2020/692 ◽

2020 ◽

Cited By ~ 7

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

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

Clinical Case Studies ◽

10.1177/1534650119849104 ◽

2019 ◽

Vol 18 (4) ◽

pp. 300-318 ◽

Cited By ~ 1

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.

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A Survey of Multimedia Recommender Systems: Challenges and Opportunities

International Journal of Semantic Computing ◽

10.1142/s1793351x17500039 ◽

2017 ◽

Vol 11 (03) ◽

pp. 411-428 ◽

Cited By ~ 5

Author(s):

Mouzhi Ge ◽

Fabio Persia

Keyword(s):

Multimedia Information ◽

Recommender Systems ◽

Recommender System ◽

Future Research ◽

Research Directions ◽

Research Challenges ◽

Challenges And Opportunities ◽

Future Research Directions ◽

Research Challenge

Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research.

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