189,577 research outputs found
BRIGEP - the BRIDGE-based genome-transcriptome-proteome browser
No full textGoesmann A, Linke B, Bartels D, et al. BRIGEP - the BRIDGE-based genome-transcriptome-proteome browser. Nucleic Acids Research. 2005;33(Web Server):W710-W716.The growing amount of information resulting from the increasing number of publicly available genomes and experimental results thereof necessitates the development of comprehensive systems for data processing and analysis. In this paper, we describe the current state and latest developments of our BRIGEP bioinformatics software system consisting of three web-based applications: GenDB, EMMA and ProDB. These applications facilitate the processing and analysis of bacterial genome, transcriptome and proteome data and are actively used by numerous international groups. We are currently in the process of extensively interconnecting these applications. BRIGEP was developed in the Bioinformatics Resource Facility of the Center for Biotechnology at Bielefeld University and is freely available. A demo project with sample data and access to all three tools is available at https://www.cebitec.uni-bielefeld.de/groups/brf/software/brigep/. Code bundles for these and other tools developed in our group are accessible on our FTP server at ftp.cebitec.uni-bielefeld.de/pub/software/
Coherence in generic representation theory
No full textLinke P. Coherence in generic representation theory. Bielefeld: Universität Bielefeld; 2014
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Emotion expressivity in Schizotypy. The mediating role of self-criticism and self-reassurance
No full textDatasets for the study presented in the manuscript:Linke M. Emotion expressivity in schizotypy. The mediating role of self-criticism and self-reassuring. The dataset Schizotypy_selfcriticism_Sept2024 consists of data used in a study that examines the relationship between schizotypy, emotional expressivity, self-criticism, and self-reassuring. The data is in the SPSS version 29 program file.The data was collected from June to September 2024 on a sample of 308 students of the University of Warsaw. Participants were recruited via an online panel from the UW. The study was conducted anonymously, and participation was voluntary. Participants received ECTS credits (European Credit Transfer System) as compensation. Participants represented 20 different faculties (77% constitute humanities students). In addition to demographic data, participants completed the following questionnaires: Oxford-Liverpool Inventory of Feelings and Experiences Short Form; the Levels of Self-Criticism Scale; Forms of Self-Criticising/Attacking and Self-Reassuring Scale – Short Form; the Functions of Self-Criticizing/Attacking Scale; the Positive Expressivity Scale and the Negative Expressivity Scale; and the Eight-Item Center for Epidemiologic Studies Depression Scale.The Research Ethics Committee of the Faculty of Psychology, University of Warsaw approved the study on 9 April 2024.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Enterprise Risk Management measurement: Insights from an interdisciplinary literature review
No full textEnterprise Risk Management (ERM) represents a paradigm envisioned to provide an organization both resilience and opportunity in the face of uncertainty. The de-bate around ERM’s value contribution to the organization has led to key ERM re-search questions arising, highlighting the need for further investigation of empiri-cal measurement of ERM and its implementation. Calls from several scholars specifically request extending the academic body of knowledge on ERM meas-urement. Motivated by the above calls, this study presents the findings of a systematic review of the ERM literature. The review examines the academic discipline of journals existing ERM studies are published in, these journals’ H-indices, the lo-cation of the studies, and the methodology of how ERM is measured in the stud-ies. The review establishes that the ERM literature cuts across several academic research disciplines such as accounting, finance and strategy. Moreover, the ex-tant literature underscores that it is very difficult to quantify and measure ERM in practice within organizations. Consequential to this, most empirical studies of ERM have emphasized either a qualitative approach focusing in depth on specific organizations, or a quantitative approach relying on accessible, basic secondary data available in company reports. A gap in knowledge is presented around ex-tending ERM measurement, in particular in terms of a methodology based on primary data collection and analysis. This paper concludes that further development of empirical measurement scales based on primary data, whereby direct, first-hand input from members of organi-zations implementing ERM is collected, will augment the ERM body of knowledge. Such scales will allow for important aspects of ERM as it is imple-mented in the organization to be empirically measured
A device for investigating neuromuscular control in the human masticatory system
No full textCopyright © 2004 Elsevier B.V. All rights reserved.K. S. Türker, R. S. A. Brinkworth, P. Abolfathi, I. R. Linke and H. Nazera
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe 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
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