1,721,756 research outputs found
Small-chain fatty acid activates astrocytic odorant receptor Olfr920
No full textOdorant receptors are the largest subfamily of G protein-coupled receptors and were recently suggested to play critical roles in nonolfactory tissues. However, the expression and function of odorant receptors in astrocytes, the most abundant cells in the brain, are not well known. We demonstrate that Olfr920 is highly expressed and propose that it functions as a short-chain fatty acid sensor in primary cortical astrocytes. The short-chain fatty acid isobutyric acid (IBA) was identified via a luciferase assay as an Olfr920 ligand. We show that IBA activates the Gs protein-adenylyl cyclase-cAMP pathway via Olfr920 in primary cortical astrocytes by using cAMP and knockdown analyses. In addition, IBA reduces lipopolysaccharide-induced glial fibrillary acidic protein expression in reactive astrocytes. These results suggest that astrocytic Olfr920 is a potential novel target for increased reactive astrocytes. © 20191
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Tables - Supplemental material for Psychological Burden and Willingness to Pay Among Korean Rosacea Patients and Their Association With Rosacea Phenotype and Severity: A Multi-Center Cross-Sectional Study
No full textSupplemental material, Tables, for Psychological Burden and Willingness to Pay Among Korean Rosacea Patients and Their Association With Rosacea Phenotype and Severity: A Multi-Center Cross-Sectional Study by Yu Ri Woo, Suyeun Kim, Sang Hyun Cho and Hei Sung Kim in Journal of Cutaneous Medicine and Surgery</p
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Forecasting the Demand for Korea Tourism : Application of the Quartic Function
No full text韓國觀光業處於飽和、停滯的狀態，本研究希望藉由探討此現象的相關原因，提出可能的解決之道。本研究以韓國經濟與旅遊產業簡介作為導論，提供基本背景認識。接著提出相關文獻回顧：包含旅遊需求預測和韓國旅遊需求預測。本研究是以1975年1月至2013年12月份入境韓國旅客總人數作為樣本，建立韓國旅客人數之預測模型以及實證分析。預測模型以四次曲線(Quartic Function)的標準形式(vertex form)建立。實證分析部分，則以平均絕對百分比誤差(Mean Absolute Percentage Error, MAPE)、均方根誤差(Root Mean Square Error, RMSE)進行評估，並和季節性自我相關整合移動平均模型(Seasonal Autoregressive Integrated Moving Average, SARIMA)、簡算法Ⅰ(NAÏVEⅠ)模型進行分析比較。This research focuses on the demand for South Korean tourism. Data used in conducting this research is the total inbound visitors to South Korea from January 1975 to December 2013. This research makes prediction from the vertex form of Quartic model. In the part of out-of-sample forecast, the author uses MAPE and RMSE in comparison with those of SARIMA(2,1,2)(1,1,1)12 and NAÏVEⅠ.目錄
口試委員會審定書 i
誌謝 ii
中文摘要 iii
英文摘要 iv
圖目錄 vii
表目錄 viii
第一章 緒論 1
第一節 研究動機暨目的 1
第二節 研究架構 4
第三節 研究方法 6
第二章 韓國簡介 7
第一節 韓國簡介 7
第二節 訪韓旅客之主要特徵 9
第三節 韓國觀光資源之現況 13
第三章 文獻回顧 17
第一節 旅遊需求預測 17
第二節 旅遊需求預測相關文獻 20
第三節 研究韓國旅遊需求預測文獻 30
第四章 旅遊需求預測模型 33
第一節 資料淵源及處理 33
第二節 模式建立 35
第三節 估計模型預測能力方法 37
第五章 預測能力實證分析 39
第一節 資料來源及處理 39
第二節 時間序列分析 42
第三節 估計預測能力之比較 48
第六章 結論 59
參考文獻 61
附錄 6
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
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