Refine
Year of publication
Document Type
- Article (525)
- Conference Proceeding (162)
- Bachelor Thesis (148)
- Report (102)
- Working Paper (85)
- Book (73)
- Master's Thesis (66)
- Part of a Book (40)
- Periodical Part (38)
- Study Thesis (25)
- Course Material (18)
- Preprint (14)
- Doctoral Thesis (11)
- Review (7)
- Lecture (4)
- Other (3)
Is part of the Bibliography
- no (1321)
Keywords
- Bibliothek (44)
- Digitalisierung (38)
- Milchwirtschaft (36)
- E-Learning (27)
- Molkerei (27)
- Ausbildung (23)
- Euterentzündung (23)
- Informationsmanagement (22)
- Computersicherheit (21)
- Herbarium (20)
One of the main concerns of this publication is to furnish a more rational basis for discussing bioplastics and use fact-based arguments in the public discourse. Furthermore, “Biopolymers – facts and statistics” aims to provide specific, qualified answers easily and quickly for decision-makers in particular from public administration and the industrial sector. Therefore, this publication is made up like a set of rules and standards and largely foregoes textual detail. It offers extensive market-relevant and technical facts presented in graphs and charts, which means that the information is much easier to grasp. The reader can expect comparative market figures for various materials, regions, applications, process routes, agricultural land use, water use or resource consumption, production capacities, geographic distribution, etc.
The development of Artificial Intelligence (AI) has profound implications for improving human and computational productivity in the future. However, it also is an existential risk to human life because it could exceed human capabilities. As such, information about the technology, the direction of the development and its purpose is important. This can be achieved through openness and transparency of processes. Indeed, companies hold property rights over AI and monopolies of software, data and experts. As a countermovement to leading AI companies, the “Open AI Movement” has evolved to push open-source AI research and products, to empower users, and to bridge the digital divide through participation and access. In this thesis, the implications of the declaration of AI as a commons have been analyzed through interviews with AI experts in the United States. The legal placement of AI is controversial but it could be seen as a basic human right. Other findings are that this field is very competitive and that the best approach is to collaboratively develop software that adds additional value on the edge of the commons.
Objective: To evaluate the impact of different dissemination channels on the awareness and usage of hospital performance reports among referring physicians, as well as the usefulness of such reports from the referring physicians’ perspective.
Data sources/Study setting: Primary data collected from a survey with 277 referring physicians (response rate = 26.2%) in Nuremberg, Germany (03–06/2016).
Study design: Cluster-randomised controlled trial at the practice level. Physician practices were randomly assigned to one of two conditions: (1) physicians in the control arm could become aware of the performance reports via mass media channels (Mass Media, npr MM=132, nph MM=147); (2) physicians in the intervention arm also received a printed version of the report via mail (Mass and Special Media, npr MSM=117; nph MSM=130). <br> Principal findings: Overall, 68% of respondents recalled hospital performance reports and 21% used them for referral decisions. Physicians from the Mass and Special Media group were more likely to be aware of the performance reports (OR 4.16; 95% CI 2.16–8.00, p < .001) but not more likely to be influenced when referring patients into hospitals (OR 1.73; 95% CI 0.72–4.12, p > .05). On a 1 (very good) to 6 (insufficient) scale, the usefulness of the performance reports was rated 3.67 (±1.40). Aggregated presentation formats were rated more helpful than detailed hospital quality information.
Conclusions: Hospital quality reports have limited impact on referral practices. To increase the latter, concerns raised by referring physicians must be given more weight. Those principally refer to the underlying data, the design of the reports, and the lack of important information.
Background: Physician-rating websites (PRWs) may lead to quality improvements in case they enable and establish a peer-to-peer communication between patients and physicians. Yet, we know little about whether and how physicians respond on the Web to patient ratings.
Objective: The objective of this study was to describe trends in physicians’ Web-based responses to patient ratings over time, to identify what physician characteristics influence Web-based responses, and to examine the topics physicians are likely to respond to.
Methods: We analyzed physician responses to more than 1 million patient ratings displayed on the German PRW, jameda, from 2010 to 2015. Quantitative analysis contained chi-square analyses and the Mann-Whitney U test. Quantitative content techniques were applied to determine the topics physicians respond to based on a randomly selected sample of 600 Web-based ratings and corresponding physician responses.
Results: Overall, physicians responded to 1.58% (16,640/1,052,347) of all Web-based ratings, with an increasing trend over time from 0.70% (157/22,355) in 2010 to 1.88% (6377/339,919) in 2015. Web-based ratings that were responded to had significantly worse rating results than ratings that were not responded to (2.15 vs 1.74, P<.001). Physicians who respond on the Web to patient ratings differ significantly from nonresponders regarding several characteristics such as gender and patient recommendation results (P<.001 each). Regarding scaled-survey rating elements, physicians were most likely to respond to the waiting time within the practice (19.4%, 99/509) and the time spent with the patient (18.3%, 110/600). Almost one-third of topics in narrative comments were answered by the physicians (30.66%, 382/1246).
Conclusions: So far, only a minority of physicians have taken the chance to respond on the Web to patient ratings. This is likely because of (1) the low awareness of PRWs among physicians, (2) the fact that only a few PRWs enable physicians to respond on the Web to patient ratings, and (3) the lack of an active moderator to establish peer-to-peer communication. PRW providers should foster more frequent communication between the patient and the physician and encourage physicians to respond on the Web to patient ratings. Further research is needed to learn more about the motivation of physicians to respond or not respond to Web-based patient ratings.
Das Konzept soll eine Grundlage zur Bereitstellung von Open Educational Resources (OER) für Studierende der Hochschule Hannover sein. Entstanden ist dieses auf Grundlage eines Studierendenprojektes (Bereitstellung von OER auf einer geeigneten Plattform) des Studiengangs "Informationsmanagement – berufsbegleitend". Aufgrund der kurzen Projektzeit, Schwierigkeiten bei der Auswahl einer geeigneten Plattform und einer problematischen Inhaltsrecherche konnte keine langfristige Lösung zur Bereitstellung von OER gefunden werden. Dieses Konzept soll die Erfahrungen der Projektgruppe zusammenfassen und an die Bibliothek der Hochschule Hannover sowie das E-Learning-Center weitergegeben werden. Ergänzt wird das Konzept durch allgemeine Informationen zu OER, Vorschläge für die Bereitstellung und Ideen für das weitere Vorgehen.
Demografieorientiertes Personalmanagement in kleinen und mittleren wissenschaftlichen Bibliotheken
(2017)
Der demografische Wandel stellt für das Personalmanagement eine Herausforderung dar, mit der sich auch Bibliotheken auseinandersetzen müssen. Die vorliegende Arbeit setzt sich mit der Frage auseinander, welche Maßnahmen des Personalmanagements kleine und mittlere wissenschaftliche Bibliotheken anwenden und inwiefern sie damit auf den demografischen Wandel vorbereitet sind. Der erste Teil der Arbeit umfasst die theoretischen Grundlagen. Dafür werden zunächst die zentralen Begriffe demografischer Wandel, Personalmanagement sowie Personalentwicklung definiert. Anschließend werden Handlungsfelder sowie deren Bedeutung für ein demografieorientiertes Personalmanagement dargestellt. Diese umfassen die Altersstrukturanalyse, die Personalgewinnung, die Personalbindung, die Personalentwicklung, die Gesundheitsförderung und das Gesundheitsmanagement sowie den Wissenstransfer. Sie beinhalten außerdem auch Beispiele von Maßnahmen aus größeren wissenschaftlichen sowie öffentlichen Bibliotheken. Die aus einer Befragung gewonnenen Erkenntnisse über die Maßnahmen des Personalmanagements in kleinen und mittleren wissenschaftlichen Bibliotheken werden im zweiten Teil der Arbeit beschrieben. Abschließend werden anhand der theoretischen Grundlagen sowie der gewonnenen Erkenntnisse Handlungsempfehlungen für die Zielgruppe der kleinen und mittleren wissenschaftlichen Bibliotheken gegeben.
Editorial for the 17th European Networked Knowledge Organization Systems Workshop (NKOS 2017)
(2017)
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 Organization 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 17th European Networked Knowledge Organization Systems Workshop (NKOS 2017) which was held during the TPDL 2017 Conference in Thessaloniki, Greece.
The amount of papers published yearly increases since decades. Libraries need to make these resources accessible and available with classification being an important aspect and part of this process. This paper analyzes prerequisites and possibilities of automatic classification of medical literature. We explain the selection, preprocessing and analysis of data consisting of catalogue datasets from the library of the Hanover Medical School, Lower Saxony, Germany. In the present study, 19,348 documents, represented by notations of library classification systems such as e.g. the Dewey Decimal Classification (DDC), were classified into 514 different classes from the National Library of Medicine (NLM) classification system. The algorithm used was k-nearest-neighbours (kNN). A correct classification rate of 55.7% could be achieved. To the best of our knowledge, this is not only the first research conducted towards the use of the NLM classification in automatic classification but also the first approach that exclusively considers already assigned notations from other
classification systems for this purpose.
For indexing archived documents the Dutch Parliament uses a specialized thesaurus. For good results for full text retrieval and automatic classification it turns out to be important to add more synonyms to the existing thesaurus terms. In the present work we investigate the possibilities to find synonyms for terms of the parliaments thesaurus automatically. We propose to use distributional similarity (DS). In an experiment with pairs of synonyms and non-synonyms we train and test a classifier using distributional similarity and string similarity. Using ten-fold cross validation we were able to classify 75% of the pairs of a set of 6000 word pairs correctly.
Die Digitalisierung birgt sowohl für den Unternehmer, als auch für den Kunden diverse Vorteile. Als Instrument zur Veranschaulichung dieser Vorteile dienen vor allem Service-Apps, welche bereits von großen Unternehmen beispielsweise zur Produktnachverfolgung etabliert wurden. Das Mittelstand 4.0 – Kompetenzzentrum Hannover legt den Fokus auf kleine und mittelständische Produktionsbetriebe und vermittelt das Potenzial der Digitalisierung im Rahmen von Industrie 4.0. Dies geschieht anhand einer Produktionslinie personalisierter Kugelschreiber und einer zu Demonstrationszwecken entwickelten App für mobile Endgeräte. Konzeptionierung, Entwicklung und Umsetzung dieser App werden genauestens aufgeführt und erläutert. Die App wurde unter dem Betriebssystem Android entwickelt und gliedert sich in sieben Phasen, beginnend mit der Anforderungsanalyse bis hin zur Veröffentlichung im Google Play Store. Während der Unternehmer die Möglichkeit geboten bekommt, Rückschlüsse als Entscheidungshilfe zur effizienteren Gestaltung der Produktion zu nutzen, ist der Kunde in der Lage, seine Aufträge echtzeitnah in der Produktion nachzuverfolgen und gegebenenfalls Änderungen vorzunehmen.
Das Erreichen eines höheren Bildungsstands gegenüber dem Bildungsstand der Eltern ist häufig mit einer Bewältigung von herkunftsbedingten Widerständen verbunden. Neben leistungsbezogenen Anforderungen an Bildungsaufsteiger sind häufig auch psychosoziale Anforderungen zu bewältigen, die durch einen Aufstieg in eine höhere soziale Schicht entstehen. Nachfolgend wird untersucht, ob Resilienz ein Einflussfaktor auf Bildungsaufstieg ist oder nicht. Es wurde eine Datenerhebung an 157 Studierenden der Hochschule Hannover durchgeführt. Zwischen den 77 Bildungsaufsteigern und den 80 Nichtbildungsaufsteigern dieser Stichprobe wurde kein signifikanter Unterschied hinsichtlich Resilienz gefunden. In einer Vorstudie wurde mit der Resilienzskala RS-29 die Resilienzskala RS-25 (Schumacher et al., 2005) weiterentwickelt und empirisch überprüft. Eine Datenerhebung der RS-29 an 416 Studierenden der Hochschule Hannover bestätigte drei vermutete Faktoren tendenziell.
Die Studie gibt einen Überblick über Energiemanagementfunktionen und deren Integration in Automatisierungssysteme. Sie besteht aus den folgenden Teilen:
1.) Bestandsaufnahme und Marktübersicht von Energiemanagementsystemen, insbesondere von den an der Studie beteiligten Firmen und zwei weitere Produkte als Referenz.
2.) Anwenderinterviews mit Anwendern aus verschiedenen Schlüsselindustrien der Prozess- und Fertigungsautomatisierung zur Evaluierung künftiger Anforderungen und Erwartungen an ein Energiemanagement insbesondere auch im Hinblick auf die Integration in Automatisierungssysteme.
3.) Bedeutung des Energiemanagements in der Zukunft und daraus abzuleitende Maßnahmen.
A systematic review of the literature on survey questionnaires to assess self-medication practices
(2017)
Self-medication is of great public health importance as it often bypasses regulatory mechanisms to assure quality of health care. Nevertheless there are no established standards on how to assess self-medication. We therefore intended to systematically retrieve questionnaires and survey tools used to capture self-medication, with the aim to identify the scope of information investigated in this context and commonalities between the tools. We conducted a systematic review of the literature on questionnaires used for self-medication assessment by searching PubMed and Web of Science databases using the combinations of following keywords; self-medication, self-prescription, non-prescription, questionnaire. Truncation was used to ensure retrieval of all possible variations of search terms. The search was limited to articles published between 1st January 2000 and 31st December 2015, human studies and English language. Duplicate and irrelevant studies were excluded from the final review. A total of 158 studies were included in the review. Studies were from diverse geographical locations, most of the studies were from Nigeria 16 (10.1%) followed by India 10 (6.3%) and Iran 8 (5%). Forty-three studies (27.2%) focused on antibiotic self-medication. Majority of the studies (106; 67%) were done with adult populations. The components addressed by the questionnaires covered: reasons for self-medications in 147 (93%) studies, purchasing source in 136 (86%) studies, medical conditions to be treated in 153 (96.8%) studies, adverse events in 67 (42.4%) studies, use of prescribing information in 24 (15.1%) studies and antibiotic resistance awareness in 20 (46.5%) antibiotic studies. For 74 (46.8%) studies, survey questionnaires were self-administered and most studies (57; 36%) were done at homes of respondents. Thirty-seven (23.4%) studies did not report any recall period for self-medication practices. Study response rates varied from 17.9% to 100%, and while validity of the study questionnaire was reported for 100 (63.3%) studies, 15 (9.5%) studies reported reliability test of the study questionnaire. There is a large variety of questionnaires being used for investigating self-medication practices making comparability and meta-analyses very difficult. It is desirable to have a basic set of standardized survey questions on this topic to make available for future research groups in this field.
This document concerns IT security in production facilities. It is intended for small and medium-sized enterprises that are looking for a simple procedural model for ensuring IT security in production areas.
In order to raise readers’ awareness of IT security in production facilities, security incidents are presented in section 2. It is clear that cyber attacks on production facilities in this day and age are not random, but are instead based on a targeted process.
An overview of the most important standards and recommendations on the topic of “IT security in production” then follows in section 3.
Section 4 develops a concept for setting up an IT security system for small and medium-sized enterprises (SMEs) on the basis of a ten-point plan. The focus is not only on technical measures, but also in particular on the most frequently neglected organizational measures.
Section 5 then describes the outlook for future requirements and solutions in the context of Industry 4.0.
Dieses Dokument befasst sich mit der IT-Sicherheit von Produktionsanlagen. Es richtet sich an kleine und mittlere Unternehmen, welche auf der Suche nach einem einfachen Vorgehensmodell für die Sicherstellung der IT-Sicherheit im Produktionsbereich sind.
Um Leser für die Notwendigkeit der IT-Sicherheit von Produktionsanlagen zu sensibilisieren, werden in Kapitel 2 Sicherheitsvorfälle dargestellt. Es zeigt sich, dass Cyber-Angriffe auf Produktionsanlagen heute kein Zufall mehr sind, sondern auf einem gezielten Vorgehen beruhen.
Danach folgt in Kapitel 3 ein Überblick über die wichtigsten Normen und Empfehlungen zum Themenfeld „IT-Sicherheit in der Produktion“.
Kapitel 4 entwickelt an Hand eines Zehn-Punkte-Plans ein Konzept für den Aufbau eines IT-Sicherheitssystems für kleine und mittlere Unternehmen (KMU). Dabei liegt der Schwerpunkt nicht nur auf den technischen, sondern insbesondere auch auf den häufig vernachlässigten organisatorischen Maßnahmen.
Abschließend gibt Kapitel 5 einen Ausblick auf künftige Anforderungen und Lösungen im Kontext von Industrie 4.0
Antimicrobial resistance in livestock is a matter of general concern. To develop hygiene measures and methods for resistance prevention and control, epidemiological studies on a population level are needed to detect factors associated with antimicrobial resistance in livestock holdings. In general, regression models are used to describe these relationships between environmental factors and resistance outcome. Besides the study design, the correlation structures of the different outcomes of antibiotic resistance and structural zero measurements on the resistance outcome as well as on the exposure side are challenges for the epidemiological model building process. The use of appropriate regression models that acknowledge these complexities is essential to assure valid epidemiological interpretations. The aims of this paper are (i) to explain the model building process comparing several competing models for count data (negative binomial model, quasi-Poisson model, zero-inflated model, and hurdle model) and (ii) to compare these models using data from a cross-sectional study on antibiotic resistance in animal husbandry. These goals are essential to evaluate which model is most suitable to identify potential prevention measures. The dataset used as an example in our analyses was generated initially to study the prevalence and associated factors for the appearance of cefotaxime-resistant Escherichia coli in 48 German fattening pig farms. For each farm, the outcome was the count of samples with resistant bacteria. There was almost no overdispersion and only moderate evidence of excess zeros in the data. Our analyses show that it is essential to evaluate regression models in studies analyzing the relationship between environmental factors and antibiotic resistances in livestock. After model comparison based on evaluation of model predictions, Akaike information criterion, and Pearson residuals, here the hurdle model was judged to be the most appropriate model.
Background: Fall events contribute significantly to mortality, morbidity and costs in our ageing population. In order to identify persons at risk and to target preventive measures, many scores and assessment tools have been developed. These often require expertise and are costly to implement. Recent research investigates the use of wearable inertial sensors to provide objective data on motion features which can be used to assess individual fall risk automatically. So far it is unknown how well this new method performs in comparison with conventional fall risk assessment tools. The aim of our research is to compare the predictive performance of our new sensor-based method with conventional and established methods, based on prospective data.
Methods: In a first study phase, 119 inpatients of a geriatric clinic took part in motion measurements using a wireless triaxial accelerometer during a Timed Up&Go (TUG) test and a 20 m walk. Furthermore, the St. Thomas Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY) was performed, and the multidisciplinary geriatric care team estimated the patients’ fall risk. In a second follow-up phase of the study, 46 of the participants were interviewed after one year, including a fall and activity assessment. The predictive performances of the TUG, the STRATIFY and team scores are compared. Furthermore, two automatically induced logistic regression models based on conventional clinical and assessment data (CONV) as well as sensor data (SENSOR) are matched.
Results: Among the risk assessment scores, the geriatric team score (sensitivity 56%, specificity 80%) outperforms STRATIFY and TUG. The induced logistic regression models CONV and SENSOR achieve similar performance values (sensitivity 68%/58%, specificity 74%/78%, AUC 0.74/0.72, +LR 2.64/2.61). Both models are able to identify more persons at risk than the simple scores.
Conclusions: Sensor-based objective measurements of motion parameters in geriatric patients can be used to assess individual fall risk, and our prediction model’s performance matches that of a model based on conventional clinical and assessment data. Sensor-based measurements using a small wearable device may contribute significant information to conventional methods and are feasible in an unsupervised setting. More prospective research is needed to assess the cost-benefit relation of our approach.
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a significant difference in location parameters from zero or one for ratios thereof for each variable. However, in some studies a significant deviation of the difference in locations from zero (or 1 in terms of the ratio) is biologically meaningless. A relevant difference or ratio is sought in such cases.
Results: This article addresses the use of relevance-shifted tests on ratios for a multivariate parallel two-sample group design. Two empirical procedures are proposed which embed the relevanceshifted test on ratios. As both procedures test a hypothesis for each variable, the resulting multiple testing problem has to be considered. Hence, the procedures include a multiplicity correction. Both procedures are extensions of available procedures for point null hypotheses achieving exact control of the familywise error rate. Whereas the shift of the null hypothesis alone would give straight-forward solutions, the problems that are the reason for the empirical considerations discussed here arise by the fact that the shift is considered in both directions and the whole parameter space in between these two limits has to be accepted as null hypothesis.
Conclusion: The first algorithm to be discussed uses a permutation algorithm, and is appropriate for designs with a moderately large number of observations. However, many experiments have limited sample sizes. Then the second procedure might be more appropriate, where multiplicity is corrected according to a concept of data-driven order of hypotheses.
The present investigation was conducted to investigate the in-vitro activity of ethanolic extract of roots of Centaurea behens by using DPPH radical scavenging activity, nitric oxide radical scavenging activity, hydrogen peroxide radical scavenging activity, hydroxyl radical. Result suggests that the extract possess significant antioxidant activity as compared to the standard ascorbic acid and thus further in vivo investigation is required to evaluate the medicinal significance of the extract which can be used for assessing the possible therapeutic importance of the drug.
Wearable sensors in healthcare and sensor-enhanced health information systems: all our tomorrows?
(2012)
Wearable sensor systems which allow for remote or self-monitoring of health-related parameters are regarded as one means to alleviate the consequences of demographic change. This paper aims to summarize current research in wearable sensors as well as in sensor-enhanced health information systems. Wearable sensor technologies are already advanced in terms of their technical capabilities and are frequently used for cardio-vascular monitoring. Epidemiologic predictions suggest that neuro-psychiatric diseases will have a growing impact on our health systems and thus should be addressed more intensively. Two current project examples demonstrate the benefit of wearable sensor technologies: long-term, objective measurement under daily-life, unsupervised conditions. Finally, up-to-date approaches for the implementation of sensor-enhanced health information systems are outlined. Wearable sensors are an integral part of future pervasive, ubiquitous and person-centered health
care delivery. Future challenges include their integration into sensor-enhanced health information systems and sound evaluation studies involving measures of workload reduction and costs.