1,721,934 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Thermal properties of phthalic anhydride- and phenolic resin-cured rigid rod epoxy resins
No full textCollider Bias Correction for Multiple Covariates in GWAS Using Robust Multivariable Mendelian Randomization
No full text<p>This repository contains the data underlying the figures in paper "Collider Bias Correction for Multiple Covariates in GWAS<br>Using Robust Multivariable Mendelian Randomization".</p>
<p> </p>
<p> </p>
<p>The file names and sheet names in the xlsx file indicate the corresponding figures of data. </p>
<p><br>The underlying data of manhattan plots and QQ plots are in text file. For other figures, the underlying data are in the spreadsheet.</p>
<p>In each file, column names indicate the MVMR method used to obtain the result. </p>
<p>For example: </p>
<p>In text files:</p>
<p>The abbreviation "mPC" refers to metabolomic principle components.</p>
<p>beta_no_correction: the SNP effect estimate without bias correction.</p>
<p>beta_cml or beta_MVMR_cml: the standard error of SNP effect estimate after the bias correction of MVMR-cML.</p>
<p>SE_UVMR_cml: the standard error of SNP effect estimate after the bias correction of UVMR-cML.</p>
<p>p_value_Egger or p_value_MVMR_Egger: the p-value of SNP effect estimate after the bias correction of MVMR-Egger regression.</p>
<p><br>In the spreadsheet, column names follow the same style. </p>
<p>The GWAS data is also available. The column names follows the plink output file. The detailed explanations are available at https://www.cog-genomics.org/plink/2.0/formats#glm_linear</p>
Collider Bias Correction for Multiple Covariates in GWAS Using Robust Multivariable Mendelian Randomization
No full text<p>This repository contains the data underlying the figures in paper "Collider Bias Correction for Multiple Covariates in GWAS<br>Using Robust Multivariable Mendelian Randomization".</p>
<p> </p>
<p> </p>
<p>The file names and sheet names in the xlsx file indicate the corresponding figures of data. </p>
<p><br>The underlying data of manhattan plots and QQ plots are in text file. For other figures, the underlying data are in the spreadsheet.</p>
<p>In each file, column names indicate the MVMR method used to obtain the result. </p>
<p>For example: </p>
<p>In text files:</p>
<p>The abbreviation "mPC" refers to metabolomic principle components.</p>
<p>beta_no_correction: the SNP effect estimate without bias correction.</p>
<p>beta_cml or beta_MVMR_cml: the standard error of SNP effect estimate after the bias correction of MVMR-cML.</p>
<p>SE_UVMR_cml: the standard error of SNP effect estimate after the bias correction of UVMR-cML.</p>
<p>p_value_Egger or p_value_MVMR_Egger: the p-value of SNP effect estimate after the bias correction of MVMR-Egger regression.</p>
<p><br>In the spreadsheet, column names follow the same style. </p>
<p>The GWAS data is also available. The column names follows the plink output file. The detailed explanations are available at https://www.cog-genomics.org/plink/2.0/formats#glm_linear</p>
Collider Bias Correction for Multiple Covariates in GWAS Using Robust Multivariable Mendelian Randomization
No full text<p>This repository contains the data underlying the figures in paper "Collider Bias Correction for Multiple Covariates in GWAS<br>Using Robust Multivariable Mendelian Randomization".</p>
<p> </p>
<p> </p>
<p>The file names and sheet names in the xlsx file indicate the corresponding figures of data. </p>
<p><br>The underlying data of manhattan plots and QQ plots are in text file. For other figures, the underlying data are in the spreadsheet.</p>
<p>In each file, column names indicate the MVMR method used to obtain the result. </p>
<p>For example: </p>
<p>In text files:</p>
<p>The abbreviation "mPC" refers to metabolomic principle components.</p>
<p>beta_no_correction: the SNP effect estimate without bias correction.</p>
<p>beta_cml or beta_MVMR_cml: the standard error of SNP effect estimate after the bias correction of MVMR-cML.</p>
<p>SE_UVMR_cml: the standard error of SNP effect estimate after the bias correction of UVMR-cML.</p>
<p>p_value_Egger or p_value_MVMR_Egger: the p-value of SNP effect estimate after the bias correction of MVMR-Egger regression.</p>
<p><br>In the spreadsheet, column names follow the same style. </p>
<p>The GWAS data is also available. The column names follows the plink output file. The detailed explanations are available at https://www.cog-genomics.org/plink/2.0/formats#glm_linear</p>
Identification of Lcn2 gene expression in zebrafish and mouse brain
No full textLcn2是疏水性結合蛋白家族的一員，初期研究被認為是一急性期蛋白，許多的研究指出其參與了多種生理功能，包括免疫功能、細胞凋亡、細胞分化與增生與各種疾病的發生等。近期的研究則多集中於該蛋白與癌症之間的關係。由於先前有研究指出Lcn2參與了胚胎期的腎臟發育，本實驗著重於探討Lcn2在斑馬魚與小鼠的胚胎發育時的表現，利用RT-PCR技術與即時定量PCR分析了Lcn2基因在斑馬魚及小鼠各組織及不同胚胎期Lcn2的表現，發現在斑馬魚的胚胎受精後10小時開始表現，並持續表現到72小時。此外以小鼠為動物模式將研究重點集中於胚胎期腦部的發育過程Lcn2基因的表現時，利用RT-PCR與qPCR的技術，觀察了在不同胚胎期的腦部Lcn2的表現量，結果發現E10.5即有Lcn2基因的表現，但E16.5的胚胎腦部Lcn2基因表現量下降，到E18.5後表現量又恢復，在成鼠亦能持續表現。利用免疫沉澱法與西方墨點術觀察Lcn2蛋白的表現也有類似的結果，但在不同時期的胚胎腦組織中，Lcn2蛋白表現量不多且不具顯著的差異。利用免疫染色法則無法觀察到小鼠胚胎期的腦部組織切片有Lcn2蛋白的表現，推測Lcn2基因在小鼠胚胎期的腦部表現量很低。Lcn2是否在發育過程中有重要功能則仍有待進一步的研究。Lcn2 is a member of the lipocalin family and has been well known as an acute phase protein. Several evidences showed that Lcn2 is a multi-function protein, participating in such as immunity, apoptosis, ion transport, cell differenciation and proliferation. It may also be related to the occurrence of diseases. Subsequently, it has been found that the expression of Lcn2 gene triggered embryonic kidney development. The finding encourages us to characterize the Lcn2 expression in zebrafish and mice, and look for an animal model to elucidate the biological function of Lcn2. The mRNA level of Lcn2 in tissue distribution and stage profile of embryos in zebrafish and mice were analyzed by RT-PCR and Real-time PCR. Western blotting and immunohistochemical staining have performed for protein assay. The data showed that Lcn2 gene expression initiated in 10 hpf embryo and sustained till 72 hpf. Furthermore, with a mouse brain model, Lcn2 expressed in E10.5, decreased significantly in E16.5 but regained in E18.5, and expressed persistently in the mature mice. The results of immunoprecipitation and Western blotting technique coincided with the mRNA levels in these periods. Unfortunately, we did not find a significant protein expression in between the each stage of embryonic development, and neither in immunohistochemistry analysis. The data revealed that Lcn2 gene expressed in low level during the mouse brain development
- …
