Integration of Link and Semantic Relations for Information Recommendation

Information services on the Internet are being used as an important tool to facilitate discovery of the information that is of user interests. Many approaches have been proposed to discover the information on the Internet, while the search engines are the most common ones. However, most of the current approaches of information discovery can discover the keyword-matching information only but cannot recommend the most recent and relative information to users automatically. Sometimes users can give only a fuzzy keyword instead of an accurate one. Thus, some desired information would be ignored by the search engines. Moreover, the current search engines cannot discover the latent but logically relevant information or services for users. This paper measures the semantic-similarity and link-similarity between keywords. Based on that, it introduces the concept of similarity of web pages, and presents a method for information recommendation. The experimental evaluation and comparisons with the existing studies are finally performed

DEVELOPMENT AND APPLICATION OF A SIMULATED ALTITUDE CABIN

The purpose of this study was to examine the techniques of simulated altitude cabin developed by the Shandong Sports Science Center, China. Blood lactate of two male and two female long distance taking the contrast test of the same exercise load of Monark 829 bicycle and treadmill both in and out of the cabin was measured. Hemoglobin of four elite walk runners who lived in the cabin with the altitude of 3,000m for 14 hours every day and took the training out of the cabin in the rest of the time was also measured. Results showed that the value of blood lactate for same athlete after exercise load in the cabin is obviously higher than those outside of cabin, and that the mean value of hemoglobin of the four elite athletes increased 1.3g/dl before and after the test. It is concluded that the manufacture of the simulated altitude cabin is successful in simulating actual altitude training

Increased Numbers of NK Cells, NKT-Like Cells, and NK Inhibitory Receptors in Peripheral Blood of Patients with Chronic Obstructive Pulmonary Disease

T cells and B cells participate in the pathogenesis of COPD. Currently, NK cells and NKT cells have gained increasing attention. In the present study, 19 COPD patients and 12 healthy nonsmokers (HNS) were recruited, and their pulmonary function was assessed. The frequencies of CD3+ T, CD4+ T, CD8+ T, B, NK, and NKT-like cells were determined using flow cytometry. The frequencies of spontaneous and inducible IFN-γ+ or CD107a+ NK and NKT-like cells as well as activating or inhibitory receptors were also detected. The potential association of lymphocyte subsets with disease severity was further analyzed. Significantly decreased numbers of CD3+ and CD4+ T cells, and the CD4+/CD8+ ratio, but increased numbers of CD3−CD56+ NK and CD3+CD56+ NKT-like cells were observed in COPD patients compared to HNS. The frequencies of inducible IFN-γ-secreting NK and NKT-like cells were less in COPD patients. The frequencies of CD158a and CD158b on NK cells and CD158b on NKT-like cells were greater. The frequency of CD158b+ NK cells was negatively correlated with FEV1% prediction and FEV1/FVC. Our data indicate that COPD patients have immune dysfunction, and higher frequencies of inhibitory NK cells and NKT-like cells may participate in the pathogenesis of COPD

Effects of an Experimental Broadcasting and Hosting Class: A Triadic Reciprocal Determinism Perspective

Based on the triadic reciprocal determinism and the achievement goal theory, this study reconstructed two theories in the existing experimental curriculum—— “Practice knowledge experimental class” for broadcasting and hosting art majors in a college in Chongqing, China. The quasi-experimental method and purposive sampling were used in this study, and 14 undergraduates in the “Practice knowledge experimental class” were selected as subjects. During the first phase (from the first to the fourth week) of the course, a questionnaire was distributed to each student, and the time series analysis method was used to analyze the data with SPSS. During the second phase of the course, MAXQDA software was used to analyze the subject coding according to quantified outcomes. Quantitative and qualitative data were analyzed to explore the effect of the curriculum plan of the “Practice knowledge experimental class.” The results showed that the curriculum can help students to improve their self-efficacy, interest, and value of learning, and had an impact on students’ engagement and learning anxiety. At the same time, the study found that students’ performance was related to the other factors emerging in the process of program implementation. The curriculum scheme of the “Practice knowledge experimental class” had succeeded where students’ learning motivation and learning behaviors were aimed to stimulate through achievement goals

Online Video Super-Resolution with Convolutional Kernel Bypass Graft

Deep learning-based models have achieved remarkable performance in video super-resolution (VSR) in recent years, but most of these models are less applicable to online video applications. These methods solely consider the distortion quality and ignore crucial requirements for online applications, e.g., low latency and low model complexity. In this paper, we focus on online video transmission, in which VSR algorithms are required to generate high-resolution video sequences frame by frame in real time. To address such challenges, we propose an extremely low-latency VSR algorithm based on a novel kernel knowledge transfer method, named convolutional kernel bypass graft (CKBG). First, we design a lightweight network structure that does not require future frames as inputs and saves extra time costs for caching these frames. Then, our proposed CKBG method enhances this lightweight base model by bypassing the original network with ``kernel grafts'', which are extra convolutional kernels containing the prior knowledge of external pretrained image SR models. In the testing phase, we further accelerate the grafted multi-branch network by converting it into a simple single-path structure. Experiment results show that our proposed method can process online video sequences up to 110 FPS, with very low model complexity and competitive SR performance