scholarly journals Myocardial infarction with non-obstructive coronary arteries: A comprehensive review and future research directions

2019 ◽  
Vol 11 (12) ◽  
pp. 305-315 ◽  
Author(s):  
Rafael Vidal-Perez ◽  
Charigan Abou Jokh Casas ◽  
Rosa Maria Agra-Bermejo ◽  
Belén Alvarez-Alvarez ◽  
Julia Grapsa ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Arteries ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions

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

scholarly journals Graph Neural Networks: Taxonomy, Advances, and Trends

2022 ◽  
Vol 13 (1) ◽  
pp. 1-54
Author(s):  
Yu Zhou ◽  
Haixia Zheng ◽  
Xin Huang ◽  
Shufeng Hao ◽  
Dengao Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Real World ◽  
Research Community ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions ◽  
Graph Neural Networks ◽  
Low Dimensional

Graph neural networks provide a powerful toolkit for embedding real-world graphs into low-dimensional spaces according to specific tasks. Up to now, there have been several surveys on this topic. However, they usually lay emphasis on different angles so that the readers cannot see a panorama of the graph neural networks. This survey aims to overcome this limitation and provide a systematic and comprehensive review on the graph neural networks. First of all, we provide a novel taxonomy for the graph neural networks, and then refer to up to 327 relevant literatures to show the panorama of the graph neural networks. All of them are classified into the corresponding categories. In order to drive the graph neural networks into a new stage, we summarize four future research directions so as to overcome the challenges faced. It is expected that more and more scholars can understand and exploit the graph neural networks and use them in their research community.

scholarly journals Privacy Protection and Secondary Use of Health Data: Strategies and Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Dingyi Xiang ◽  
Wei Cai
Keyword(s):  
Big Data ◽  
Privacy Protection ◽  
Health Data ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Secondary Use ◽  
Potential Value ◽  
Preferred Direction ◽  
Future Research Directions

Health big data has already been the most important big data for its serious privacy disclosure concerns and huge potential value of secondary use. Measurements must be taken to balance and compromise both the two serious challenges. One holistic solution or strategy is regarded as the preferred direction, by which the risk of reidentification from records should be kept as low as possible and data be shared with the principle of minimum necessary. In this article, we present a comprehensive review about privacy protection of health data from four aspects: health data, related regulations, three strategies for data sharing, and three types of methods with progressive levels. Finally, we summarize this review and identify future research directions.

Sport Environment/Atmospherics

2014 ◽  
pp. 104-132 ◽  
Author(s):  
Kelly Price ◽  
Mauro Palmero
Keyword(s):  
Consumer Choice ◽  
Sport Marketing ◽  
Purchase Behavior ◽  
Future Research ◽  
Research Directions ◽  
Comprehensive Review ◽  
Sport Industry ◽  
Future Research Directions ◽  
The Spectator ◽  
Atmospheric Variables

This chapter discusses atmospherics as a sport marketing strategy. Even though it has traditional retail roots, atmospherics have emerged as a strategy that may be utilized in the physical, online, and mobile sport environments. A comprehensive review of major traditional and sports atmospheric variables, online atmospheric variables, and applications to sport are discussed. In addition, the spectator experience cycle is introduced with atmospheric correlations. The purpose of the chapter is to explain why atmospherics are important to the sport industry and to demonstrate how sport marketers may use physical, online, or mobile atmospherics to enhance spectator experience, increase loyalty, impact attitude, consumer choice, and impact purchase behavior. In addition, the chapter is meant to emphasize the importance of atmospherics to ultimately achieve promotional and marketing objectives. Finally, future research directions are recommended.

scholarly journals Fatigue modeling using neural networks: a comprehensive review

2021 ◽  
Author(s):  
Jie Chen ◽  
Yongming Liu
Keyword(s):  
Life Prediction ◽  
Current Trend ◽  
Future Research ◽  
Fatigue Load ◽  
Research Directions ◽  
Comprehensive Review ◽  
The Past ◽  
Wide Range ◽  
Future Research Directions ◽  
Fatigue Modeling

Neural network (NN) models have made a significant impact on fatigue-related engineering communities and are expected to increase rapidly soon due to the recent advancements in machine learning and artificial intelligence. A comprehensive review of fatigue modeling methods using NNs is lacking and will help to recognize past achievements and suggest future research directions. Thus, this paper presents a survey of 251 publications between 1990 and July 2021. The NN modeling in fatigue is classified into five applications: fatigue life prediction, fatigue crack, fatigue damage diagnosis, fatigue strength, and fatigue load. A wide range of NN architectures are employed in the literature and are summarized in this review. An overview of important considerations and current limitations for the application of NNs in fatigue is provided. Statistical analysis for the past and the current trend is provided with representative examples. Existing gaps and future research directions are also presented based on the reviewed articles.

scholarly journals A Comprehensive Review of Quality of Life (QOL) Research in Hong Kong

2007 ◽  
Vol 7 ◽  
pp. 1222-1229 ◽  
Author(s):  
Daniel T. L. Shek ◽  
Britta M. Lee
Keyword(s):  
Quality Of Life ◽  
Hong Kong ◽  
Empirical Studies ◽  
Well Being ◽  
Future Research ◽  
Helping Professionals ◽  
Research Directions ◽  
Comprehensive Review ◽  
Future Research Directions

Published quality of life (QOL) studies in Hong Kong indexed in the major databases were reviewed. Several observations are highlighted from this review. First, most of the published studies were empirical studies involving data collection. Second, there are more micro studies utilizing individual QOL indices than macro studies using societal indicators. Third, most studies addressed personal well-being, followed by studies on family well-being and societal well-being. Fourth, the studies were predominantly quantitative in nature. Fifth, most of the studies were based on adults and comparatively fewer studies were based on children and adolescents. Sixth, most studies were based on populations with special needs, followed by studies based on the general population, helping professionals, and caregivers. Seventh, most studies used measures of QOL rather than developed QOL measures. Finally, QOL data in Hong Kong were seldom compared with those in other places. The gaps on QOL studies in Hong Kong and future research directions are discussed.

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