1,721,501 research outputs found
sj-docx-1-tam-10.1177_17588359231198454 – Supplemental material for Navigating the challenges of invasive pulmonary aspergillosis in lung cancer treatment: a propensity score study
Supplemental material, sj-docx-1-tam-10.1177_17588359231198454 for Navigating the challenges of invasive pulmonary aspergillosis in lung cancer treatment: a propensity score study by Chin-Wei Kuo, Chien-Yu Lin, Sheng-Huan Wei, Yun-Tse Chou, Chian-Wei Chen, Jeng-Shiuan Tsai, Po-Lan Su and Chien-Chung Lin in Therapeutic Advances in Medical Oncology</p
Machine Learning Based Rate Adaptation with Elastic Feature Selection for HTTP-Based Streaming
Dynamic Adaptive Streaming over HTTP (DASH) 於現在已經成為一 個越來越重要的應用。影響HTTP 上串流影音品質最重要的關鍵,就 在於如何選擇適當的影片速率調節機制。之前的一些相關論文提出 一些可以根據目前網路狀態的變化,來動態調整下載影片速率的方 法;但是會影響到影片速率選擇的因素有許多種,而這些方法一般都 只考慮其中少數的幾個重要因素,像是預測的頻寬或是目前緩衝影 片的長度。但是頻寬預測不僅相當困難,同時容易有很大誤差可能, 而這導致了其可能嚴重影響到速率選擇的效果。為了解決這個問題, 我們提出了於HTTP 上基於機器學習的速率調節機制(MLASH)。利 用classification 的方法,MLASH 不僅可以有彈性的將所有可能影響 到速率調節的因素都考慮進來,還可以避開頻寬預測的困難。同時, MLASH 還可以與之前的其他速率調節方法進行整合,並且利用大數 據的特性,來進一步提升速率調節之效果。我們根據原始資料來進行 模擬實驗,以證明我們的方法不僅效果良好,同時於不同的使用者體 驗衡量標準上,表現也比之前其他的速率調節方法更加優秀。Dynamic Adaptive Streaming over HTTP (DASH) has become an emerging application nowadays. Video rate adaptation is a key to determine the video quality of HTTP-based media streaming. Recent works have proposed several algorithms that allow a DASH client to adapt its video encoding rate to network dynamics. While network conditions are typically affected by many different factors, these algorithms however usually consider only a few representative information, e.g., predicted available bandwidth or fullness of its playback buffer. In addition, the error in bandwidth estimation could significantly degrade their performance. Therefore, this paper presents Machine- Learning-based Adaptive Streaming over HTTP (MLASH), an elastic framework that exploits a wide range of useful network-related features to train a rate classification model. The distinct properties of MLASH are that its machine-learning-based framework can be incorporated with any existing adaptation algorithm and utilize big data characteristics to improve prediction accuracy. We show via trace-based simulations that machine-learning-based adaptation can achieve a better performance than traditional adaptation algorithms in terms of their target quality of experience (QoE) metrics
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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