Clinical application of anterior segment optical coherence tomography for angle-closure related disease

AbstractAnterior segment optical coherence tomography has the ability to acquire angle-to-angle cross-sectional anterior chamber images in a non-contact way, and this technology shows a good reproducibility for angle parameters. With the availability of image processing software, some novel anatomic parameters such as iris area, iris volume, anterior chamber area, anterior chamber volume, anterior chamber width, and lens vault have been evaluated for the diagnosis of angle-closure related disease. This review article will describe the definitions of these interior segment optical coherence tomography parameters and summarize recent findings about these parameters in diagnosing angle-closure disease

RGB-T salient object detection via fusing multi-level CNN features

RGB-induced salient object detection has recently witnessed substantial progress, which is attributed to the superior feature learning capability of deep convolutional neural networks (CNNs). However, such detections suffer from challenging scenarios characterized by cluttered backgrounds, low-light conditions and variations in illumination. Instead of improving RGB based saliency detection, this paper takes advantage of the complementary benefits of RGB and thermal infrared images. Specifically, we propose a novel end-to-end network for multi-modal salient object detection, which turns the challenge of RGB-T saliency detection to a CNN feature fusion problem. To this end, a backbone network (e.g., VGG-16) is first adopted to extract the coarse features from each RGB or thermal infrared image individually, and then several adjacent-depth feature combination (ADFC) modules are designed to extract multi-level refined features for each single-modal input image, considering that features captured at different depths differ in semantic information and visual details. Subsequently, a multi-branch group fusion (MGF) module is employed to capture the cross-modal features by fusing those features from ADFC modules for a RGB-T image pair at each level. Finally, a joint attention guided bi-directional message passing (JABMP) module undertakes the task of saliency prediction via integrating the multi-level fused features from MGF modules. Experimental results on several public RGB-T salient object detection datasets demonstrate the superiorities of our proposed algorithm over the state-of-the-art approaches, especially under challenging conditions, such as poor illumination, complex background and low contrast

Hidden Trends in 90 Years of Harvard Business Review

In this paper, we demonstrate and discuss results of our mining the abstracts of the publications in Harvard Business Review between 1922 and 2012. Techniques for computing n-grams, collocations, basic sentiment analysis, and named-entity recognition were employed to uncover trends hidden in the abstracts. We present findings about international relationships, sentiment in HBR's abstracts, important international companies, influential technological inventions, renown researchers in management theories, US presidents via chronological analyses.Comment: 6 pages, 14 figures, Proceedings of 2012 International Conference on Technologies and Applications of Artificial Intelligenc

RESEARCH ON THE MARKETING AND PUBLIC RELATIONS EFFECT AND SPORT EVENT SATISFACTION OF THE TAIPEI 2017 UNIVERSIADE

The purpose of this study is to investigate the spectators’ marketing and public relations and sport event satisfaction with their participation in the Taipei 2017 Universiade. Meanwhile, based on the comparison of different personal background variables, this study compares the attractiveness and satisfaction of the spectators’ marketing and public relations recognition, marketing and public relations attitude, event planning and sport event services. A random sampling method is adopted in this study. Among spectators, university students of the Taipei 2017 Universiade are selected. A total of 700 questionnaires are distributed and 680 valid questionnaires are collected. The effective recovery rate is 97.14%. The research tool of this study is “Satisfaction scale of marketing and public relations effect and sport event satisfaction of the Taipei 2017 Universiade”. This study uses statistical methods such as descriptive statistics, independent sample t-tests, and so forth. The results of this study are: (1) In the Taipei 2017 Universiade, spectators have the highest attractiveness with “Internet” in “media tools” of marketing and public relations recognition, followed by the factor of “TV”; (2) In “marketing and public relations attitude” of the Taipei 2017 Universiade, “marketing and public relations present efforts and earnest of Taiwan” ranks the highest, followed by “marketing and public relations are impressed”; (3) In “sport event services” of the Taipei 2017 Universiade, “auditorium” ranks the highest, followed by “broadcast notification”; (4) There is no significant difference in the attractiveness and satisfaction among spectators with different personal background for “marketing and public relations recognition”, “marketing and public relations attitude”, and “sport event services” in the Taipei 2017 Universiade.  Article visualizations