1,720,956 research outputs found
Comparison of different evaluation strategies for single-molecule force spectroscopy of antibody/antigen interactions
No full textZiel dieser Masterarbeit war es, ein Framework zu entwickeln, das die bisher etablierten Methoden zur Datenauswertung in der dynamischen Kraftspektroskopie (DFS) ergänzt. Um einen Datensatz zur Verfügung zu haben, an dem dieses Framework getestet werden kann, wurde eine Interaktionsstudie an C-reaktivem Protein (CRP) und einem monoklonalem Antikörper (anti-CRP) mithilfe eines Atom-kraftmikroskops (AFM) durchgeführt. Die gesammelten Abrisskräfte wurden hinsichtlich ihrer Abhängigkeit von der loading rate mittels diverser Methoden und theoretischer Modelle analysiert, insbesondere der Modelle von Friddle und Bell-Evans. Das Ziel dieser Analyse ist, charakteristische Parameter der Interaktion zu ermitteln, wie die kinetische Dissoziationsrate k_off. Der wichtigste Ansatz basierte auf dem Binnen der Daten in eine gewisse Anzahl an Bins pro Zehnerpotenz im Bezug auf die loading rate. Dies erlaubt eine Analyse der Kraft-Verteilungsfunktionen, errechnet für die Datenpunkte in den jeweiligen Bins. Diese Kraft-Verteilungsfunktionen ermöglichen es, individuelle Populationen innerhalb der Daten zu identifizieren, welche dann von multiplen Bindungen oder anderen Interaktionstypen stammen können. Zu diesem Zweck wurden die bin-weisen Kraft-Verteilungen mit Gauß-Funktionen gefittet, wobei jede Gauß-Funktion als eine Population interpretiert wurde. Die vollständige Analyse umfasst Least-Squares-Fits der ursprünglichen Daten, der mittleren Kräfte berechnet für die gebinnten Daten und der mittleren Kräfte, die man aus den isolierten Populationen erhalten hat. Die Methodik wurde in einem MATLAB-basierten Framework implementiert, mit dem zukünftig ähnliche Analysen vorgenommen werden können. Das Framework wurde auch an den Daten eines anderen Systems (mesenchymale Stammzellen und ein spezifischer Antikörper) getestet.The goal of this masters thesis was to develop a framework that would complement formerly established methods in dynamic force spectroscopy (DFS) data evaluation. To have a dataset on which this evaluation framework could be put to the test, an interaction study on C-reactive protein (CRP) and a monoclonal antibody (anti-CRP) was performed using an atomic force microscope (AFM). The collected unbinding force data were analyzed with respect to their dependence on the loading rate with a few methods and theoretical models, most prominently Friddle and Bell-Evans model. The goal of this analysis is to extract characteristic parameters of the interaction, like the kinetic off-rate k_off. The most important approach was based on binning of the data into a certain number of bins per logarithmic decade with respect to the loading rate. Doing so allows to perform an analysis of the force distribution functions calculated for the datapoints in the respective bins. These force distributions make it possible to identify individual populations within the data, which may correspond to multibonds or other types of interactions occurring within the system. For this purpose, Gaussian functions were fitted onto the bin-wise force distributions and interpreted as representing one population each. The whole analysis comprises least-squares fitting of the original data, of the mean forces calculated for the bins and of the mean forces obtained for the isolated populations. This method was implemented in a MATLAB-based framework that allows to perform similar analyses on other systems in the future. The framework was also tested on data recorded on another biological system (mesenchymal stem cells and a specific monoclonal antibody).submitted by Sabrina Meindlhumer, B.Sc.Masterarbeit Universität Linz 201
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
Comparison of different evaluation strategies for single-molecule force spectroscopy of antibody/antigen interactions
No full textZiel dieser Masterarbeit war es, ein Framework zu entwickeln, das die bisher etablierten Methoden zur Datenauswertung in der dynamischen Kraftspektroskopie (DFS) ergänzt. Um einen Datensatz zur Verfügung zu haben, an dem dieses Framework getestet werden kann, wurde eine Interaktionsstudie an C-reaktivem Protein (CRP) und einem monoklonalem Antikörper (anti-CRP) mithilfe eines Atom-kraftmikroskops (AFM) durchgeführt. Die gesammelten Abrisskräfte wurden hinsichtlich ihrer Abhängigkeit von der loading rate mittels diverser Methoden und theoretischer Modelle analysiert, insbesondere der Modelle von Friddle und Bell-Evans. Das Ziel dieser Analyse ist, charakteristische Parameter der Interaktion zu ermitteln, wie die kinetische Dissoziationsrate k_off. Der wichtigste Ansatz basierte auf dem Binnen der Daten in eine gewisse Anzahl an Bins pro Zehnerpotenz im Bezug auf die loading rate. Dies erlaubt eine Analyse der Kraft-Verteilungsfunktionen, errechnet für die Datenpunkte in den jeweiligen Bins. Diese Kraft-Verteilungsfunktionen ermöglichen es, individuelle Populationen innerhalb der Daten zu identifizieren, welche dann von multiplen Bindungen oder anderen Interaktionstypen stammen können. Zu diesem Zweck wurden die bin-weisen Kraft-Verteilungen mit Gauß-Funktionen gefittet, wobei jede Gauß-Funktion als eine Population interpretiert wurde. Die vollständige Analyse umfasst Least-Squares-Fits der ursprünglichen Daten, der mittleren Kräfte berechnet für die gebinnten Daten und der mittleren Kräfte, die man aus den isolierten Populationen erhalten hat. Die Methodik wurde in einem MATLAB-basierten Framework implementiert, mit dem zukünftig ähnliche Analysen vorgenommen werden können. Das Framework wurde auch an den Daten eines anderen Systems (mesenchymale Stammzellen und ein spezifischer Antikörper) getestet.The goal of this masters thesis was to develop a framework that would complement formerly established methods in dynamic force spectroscopy (DFS) data evaluation. To have a dataset on which this evaluation framework could be put to the test, an interaction study on C-reactive protein (CRP) and a monoclonal antibody (anti-CRP) was performed using an atomic force microscope (AFM). The collected unbinding force data were analyzed with respect to their dependence on the loading rate with a few methods and theoretical models, most prominently Friddle and Bell-Evans model. The goal of this analysis is to extract characteristic parameters of the interaction, like the kinetic off-rate k_off. The most important approach was based on binning of the data into a certain number of bins per logarithmic decade with respect to the loading rate. Doing so allows to perform an analysis of the force distribution functions calculated for the datapoints in the respective bins. These force distributions make it possible to identify individual populations within the data, which may correspond to multibonds or other types of interactions occurring within the system. For this purpose, Gaussian functions were fitted onto the bin-wise force distributions and interpreted as representing one population each. The whole analysis comprises least-squares fitting of the original data, of the mean forces calculated for the bins and of the mean forces obtained for the isolated populations. This method was implemented in a MATLAB-based framework that allows to perform similar analyses on other systems in the future. The framework was also tested on data recorded on another biological system (mesenchymal stem cells and a specific monoclonal antibody).submitted by Sabrina Meindlhumer, B.Sc.Masterarbeit Universität Linz 201
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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