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Die Bachelorarbeit beschäftigt sich mit der Ontologie des Forschungsinformationssystems VIVO. In der Arbeit wird der Versuch unternommen, die Ontologie an die Besonderheiten des deutschen Wissenschaftsbetriebs anzupassen, mit dem Ziel, die Einführung des Systems für eine deutsche Einrichtung zu erleichtern. Das Mapping und die Erweiterung sind auf die Bereiche „Positionsbezeichnungen“ und „Organisationseinheiten“ beschränkt.
Der theoretische Teil behandelt das Thema der Forschungsinformationen und deren Implementierung in ein Forschungsinformationssystem. Unter anderem werden auch die Tendenzen der Standardisierung in dem Bereich beleuchtet.
Bei der Darstellung von VIVO als eine Semantic-Web-Anwendung steht die Ontologie, als Grundlage für die Funktionalitäten des Systems im Vordergrund.
In distributional semantics words are represented by aggregated context features. The similarity of words can be computed by comparing their feature vectors. Thus, we can predict whether two words are synonymous or similar with respect to some other semantic relation. We will show on six different datasets of pairs of similar and non-similar words that a supervised learning algorithm on feature vectors representing pairs of words outperforms cosine similarity between vectors representing single words. We compared different methods to construct a feature vector representing a pair of words. We show that simple methods like pairwise addition or multiplication give better results than a recently proposed method that combines different types of features. The semantic relation we consider is relatedness of terms in thesauri for intellectual document classification. Thus our findings can directly be applied for the maintenance and extension of such thesauri. To the best of our knowledge this relation was not considered before in the field of distributional semantics.
Integrating distributional and lexical information for semantic classification of words using MRMF
(2016)
Semantic classification of words using distributional features is usually based on the semantic similarity of words. We show on two different datasets that a trained classifier using the distributional features directly gives better results. We use Support Vector Machines (SVM) and Multirelational Matrix Factorization (MRMF) to train classifiers. Both give similar results. However, MRMF, that was not used for semantic classification with distributional features before, can easily be extended with more matrices containing more information from different sources on the same problem. We demonstrate the effectiveness of the novel approach by including information from WordNet. Thus we show, that MRMF provides an interesting approach for building semantic classifiers that (1) gives better results than unsupervised approaches based on vector similarity, (2) gives similar results as other supervised methods and (3) can naturally be extended with other sources of information in order to improve the results.
Background: Foodstuff traders operating from warehouses (FTFW) are potentially exposed to dangerous rodenticides/pesticides that may have adverse effects on cardiopulmonary function. Methods: 50 consenting male foodstuff traders, comprising 15 traders (21–63 years) operating outside warehouses and 35 FTFW (20–64 years), were randomly recruited at Ogbete Market, Enugu, in a cross-sectional observational study of spirometric and electrocardiographic parameters. 17 FTFW (21–57 years) participated in focus group discussions. Qualitative and quantitative data were analysed thematically and with independent t-test and Pearson correlation coefficient at p < 0.05, respectively. Results: Most FTFW experienced respiratory symptoms, especially dry cough (97,1%) and wheezing (31.4%) with significant reductions in forced vital capacity (FVC) (t = -2.654; p = 0.011), forced expiratory volume in one second (FEV1) (t = -2.240; p = 0.030), maximum expiratory flow rate (FEF200-1200) (t = -1.148; p = -0.047), and forced end-expiratory flow (FEF25-75) (t = -1.11; p = 0.007). The maximum mid-expiratory flow (FEF25-75) was marginally decreased (p > 0.05) with a significantly prolonged (p < 0.05) QTc interval. Conclusion: Allergic response was evident in the FTFW. Significant decrease in FVC may negatively impact lung flow rates and explains the marginal decrease in FEF25-75, which implies a relative limitation in airflow of peripheral/distal airways and elastic recoil of the lungs. This is consistent with obstructive pulmonary disease; a significant decrease in FEF75-85/FEV1 supports this conclusion. Significant decrease in FEF200-1200 indicates abnormalities in the large airways/larynx just as significantly prolonged ventricular repolarization suggests cardiac arrhythmias.
Anwendungen in Bibliotheken auf Basis von Augmented Reality (AR), der Erweiterung der Realität durch zusätzliche, virtuelle Informationen, existieren bislang nur vereinzelt. Das vom Bundesministerium für Wirtschaft und Energie geförderte Forschungsprojekt mylibrARy ermittelt seit Juni 2014 Szenarien für den Einsatz von AR in Bibliotheken und Informationseinrichtungen. Das Projekt zielt auf die Entwicklung einer deutschlandweit einsetzbaren Applikation (App). An diesen Gedanken knüpft die vorliegende Arbeit mit der Entwicklung eines Konzepts für Einführungen in Hochschulbibliotheken mittels AR-Technik. Aus der Analyse aktueller Führungsmodelle von Bibliotheken der Hochschulen im Exzellenzcluster 2012-2017, werden die für die Modellführung benötigten charakteristischen Merkmale einer Bibliotheksführung abgeleitet. Auf die technisch relevanten Grundlagen der AR folgt eine Bestandsaufnahme der bisherigen Augmented-Reality-Projekte im internationalen Bibliothekskontext. Daran schließt die Formulierung der theoretischen Anforderungen und die Ausarbeitung der Funktionen im Einzelnen. Nachfolgend lenkt eine kritische Betrachtung den Fokus auf Mehrwert und Risiken der AR für Bibliothek und Nutzer. Mit einer Zusammenfassung und dem Ausblick auf die zukünftige Entwicklung findet die Arbeit ihren Abschuss.
Research question: Rivalries in team sports are commonly conceptualized as a threat to the fans’ identity. Therefore, past research has mainly focused on the negative consequences. However, theoretical arguments and empirical evidence suggest that rivalry has both negative and positive effects on fans’ self-concept. This research develops and empirically tests a model which captures and integrates these dual effects of rivalry.
Research methods: Data were collected via an on-site survey at home games of eight German Bundesliga football teams (N = 571). Structural equation modeling provides strong support for the proposed model.
Results and findings: In line with previous research, the results show that rivalry threatens fans’ identity as reflected in lower public collective self-esteem in relation to supporters of the rival team. However, the results also show that there are crucial positive consequences, such as higher perceptions of public collective self-esteem in relation to supporters of non-rival opponents, perceived ingroup distinctiveness and ingroup cohesion. These positive effects are mediated through increases in disidentification with the rival and perceived reciprocity of rivalry.
Implications: We contribute to the literature by providing a more balanced view of one of team sports’ key phenomena. Our results indicate that the prevalent conceptualization of rivalry as an identity threat should be amended by the positive consequences. Our research also offers guidance for the promotion of rivalries, where the managerial focus should be on creating a perception that a rivalry is reciprocal.
Einführung einer institutionellen Forschungsdateninfrastruktur an der Helmut-Schmidt-Universität
(2016)
Die vorliegende Bachelorarbeit untersucht den zur Einführung einer institutionellen Forschungsdateninfrastruktur zu berücksichtigenden Handlungsrahmen an der Helmut-Schmidt-Universität/ Universität der Bundeswehr Hamburg (HSU/ UniBw H) und gibt unter besonderer Berücksichtigung möglicher Aufgabenfelder der Universitätsbibliothek allgemeine Handlungsempfehlungen für deren Implementierung. Da sich die Arbeit sowohl an die Verantwortlichen zur Einführung einer Forschungsdateninfrastruktur an der HSU/ UniBw H als auch an Interessierte der akademischen Gemeinschaft richtet, werden die zum besseren Verständnis besonders relevanten Begriffe zunächst herausgestellt. Auf der Grundlage aktueller Forschungsliteratur und verfügbarer Praxiserfahrung anderer Universitäten wurde mittels Webseitenanalyse und der Auswertung von Fragebögen eine gesamtheitliche Beschreibung für die Implementierung einer institutionellen Forschungsdateninfrastruktur zum Abgleich mit der Ausgangssituation an der HSU/ UniBw H erstellt. Die Arbeit verdeutlicht in den daraus abgeleiteten Handlungsempfehlungen den zu berücksichtigenden allgemeinen Handlungsrahmen in seiner Komplexität und zeigt vor allem diesbezügliche Aufgabenfelder der Universitätsbibliothek von der Initiierung bis zum Abschluss der Implementierung auf. Im Wesentlichen wird hierbei herausgestellt, dass die Universitätsbibliothek als klassische Gedächtnisorganisation und zentraler Informationsdienstleister ihre Kompetenzen besonders bei der Entwicklung und Verwirklichung des Forschungsdatenmanagements sinnvoll einbringen und zukunftsorientiert erweitern kann und sollte. Auslegungsbestimmend ist die von der Universitätsleitung festzulegende Ziel- und Zweckbestimmung der institutionellen Forschungsdateninfrastruktur. Diese dient dem Forschungsdatenmanagement zur Skalierung und Bestimmung von Umfang, Komplexität und Anforderungen an die potentiellen Aufgabenbereiche insbesondere der Universitätsbibliothek. Somit leistet diese Bachelorarbeit einen grundlegenden Beitrag zur weiteren Strukturierung und Konkretisierung der initiatorischen Überlegungen der Universitätsbibliotheksleitung zu den Möglichkeiten der Einführung einer institutionellen Forschungsdateninfrastruktur an der HSU/ UniBw H.
Editorial for the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016)
(2016)
Knowledge Organization Systems (KOS), in the form of classification systems, thesauri, lexical databases, ontologies, and taxonomies, play a crucial role in digital information management and applications generally. Carrying semantics in a well-controlled and documented way, Knowledge Organisation Systems serve a variety of important functions: tools for representation and indexing of information and documents, knowledge-based support to information searchers, semantic road maps to domains and disciplines, communication tool by providing conceptual framework, and conceptual basis for knowledge based systems, e.g. automated classification systems. New networked KOS (NKOS) services and applications are emerging, and we have reached a stage where many KOS standards exist and the integration of linked services is no longer just a future scenario. This editorial describes the workshop outline and overview of presented papers at the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) in Hannover, Germany.
Background:
The increase in food intolerances poses a burgeoning problem in our society. Food intolerances not only lead to physical impairment of the individual patient but also result in a high socio-economic burden due to factors such as the treatment required as well as absenteeism. The present study aimed to explore whether lactose intolerant (LI) patients exhibit more frequent comorbidities than non-LI patients.
Methods:
The study was conducted on a case-control basis and the results were determined using routine data analysis. Routine data from the IMS Disease Analyzer database were used for this purpose. A total of 6,758 data records were processed and analyzed.
Results:
There were significant correlations between LI and the incidence of osteoporosis, changes in mental status, and the presence of additional food intolerances. Comparing 3,379 LI vs. 3,379 non-LI patients, 34.5% vs. 17.7% (P<0.0001) suffered from abdominal pain; 30.6% vs. 17.2% (P<0.0001) from gastrointestinal infections; and 20.9% vs. 16.0% (P=0.0053) from depression. Adjusted odds ratios (OR) were the highest for fructose intolerance (n=229 LI vs. n=7 non-LI; OR 31.06; P<0.0001), irritable bowel syndrome (n=247 LI vs. n=44 non-LI; OR 5.23; P<0.0001), and bloating (n=351 LI vs. n=68 non-LI; OR 4.94; P<0.0001).
Conclusion:
The study confirms that LI should not be regarded as an isolated illness but considered a possible trigger for further diseases. Additional research is necessary to assert more precise statements.
Background: Physician-rating websites have become a popular tool to create more transparency about the quality of health care providers. So far, it remains unknown whether online-based rating websites have the potential to contribute to a better standard of care. Objective: Our goal was to examine which health care providers use online rating websites and for what purposes, and whether health care providers use online patient ratings to improve patient care. Methods: We conducted an online-based cross-sectional study by surveying 2360 physicians and other health care providers (September 2015). In addition to descriptive statistics, we performed multilevel logistic regression models to ascertain the effects of providers' demographics as well as report card-related variables on the likelihood that providers implement measures to improve patient care. Results: Overall, more than half of the responding providers surveyed (54.66%, 1290/2360) used online ratings to derive measures to improve patient care (implemented measures: mean 3.06, SD 2.29). Ophthalmologists (68%, 40/59) and gynecologists (65.4%, 123/188) were most likely to implement any measures. The most widely implemented quality measures were related to communication with patients (28.77%, 679/2360), the appointment scheduling process (23.60%, 557/2360), and office workflow (21.23%, 501/2360). Scaled-survey results had a greater impact on deriving measures than narrative comments. Multilevel logistic regression models revealed medical specialty, the frequency of report card use, and the appraisal of the trustworthiness of scaled-survey ratings to be significantly associated predictors for implementing measures to improve patient care because of online ratings. Conclusions: Our results suggest that online ratings displayed on physician-rating websites have an impact on patient care. Despite the limitations of our study and unintended consequences of physician-rating websites, they still may have the potential to improve patient care.