Hof University of Applied Sciences
Recent publications
Background Although good treatment options exist for many headache disorders, not all patients benefit and disability continues to be large. To design strategies for improving headache care, real-world data observing standard care is necessary. Therefore, the German Migraine and Headache Society (DMKG) has established the DMKG Headache Registry. Here we present methods and baseline data. Methods Accredited German headache centers (clinic-based or private practice) can offer participation to their patients. Patients provide headache history, current headache load (including a mobile headache diary), medication and comorbidities and answer validated questionnaires, prior to their physician appointment. Physicians use these data as the base of their history taking, and add, change or confirm some central information. Before the next visit, patients are asked to update their data. Patients will continuously be included over the next years. Results The present analysis is based on the first 1,351 patients (1110 females, 39.6 ± 12.9 years) with a completed first visit. Most participants had a migraine diagnosis. Participants had 14.4 ± 8.5 headache days and 7.7 ± 6.1 acute medication days per month and 63.9% had a migraine disability assessment (MIDAS) grade 4 (severe disability). 93.6% used at least one acute headache medication, most frequently a triptan (60.0%) or non-opioid analgesic (58.3%). 45.0% used at least one headache preventive medication, most frequently an antidepressant (11.4%, mostly amitriptyline 8.4%) or a CGRP(receptor) antibody (9.8%). Most common causes for discontinuation of preventive medication were lack of effect (54.2%) and side effects (43.3%). Conclusion The DMKG Headache Registry allows to continuously monitor headache care at German headache centers in both a cross-sectional and a longitudinal approach. Trial registration The DMKG Headache Registry is registered with the German Clinical Trials Register (DRKS 00021081).
While modern-day static analysis tools are capable of finding standard vulnerabilities as well as complex patterns, implementing those tools is expensive regarding both development time and runtime performance. During the last years, domain specific languages like Datalog have gained popularity as they simplify the development process of analyses and rule sets dramatically. Similarly, intermediate representations like LLVM-IR are used to facilitate static source code analysis. In this paper, we present VANDALIR, a vulnerability analyzer and detector based on Datalog and LLVM-IR. VANDALIR is a static source code analyzer that allows to define and customize detection rules in a high-level, declarative way. We implement VANDALIR as a comprehensive static analysis tool, aiming to simplify vulnerability detection by a new combination of modern technologies. Besides the novel design of VANDALIR, we present a predefined detection rule set covering stack-based memory corruption, double free and format string vulnerabilities. As we show, our rule set achieves a detection rate of over 90% on test cases from the Juliet Test Suite, outperforming well-established vulnerability scanners such as the Clang Static Analyzer. Furthermore, we evaluated VANDALIR on open source projects and could reproduce existing vulnerabilities as well as identify previously unknown vulnerabilities.
Luc P. Beaudoin is co-founder of CogSci Apps Corp, CogZest and Somnolence+. He is also adjunct professor of Cognitive Science and of Education at Simon Fraser University. From an integrative design-oriented perspective, he has written two Cognitive Productivity books about using knowledge and hypertext to become profoundly effective, co-designed gStudy and nStudy, and designs the Hook productivity, Hookmark and mySleepButton® apps. Luc has a Ph.D. in Cognitive Science (thesis on goal processing in autonomous agents). He is based in Metro-Vancouver, Canada. More information about Luc can be found at https://cogzest.com/about/founder/
The aquaculture sector has been the key factor in meeting the growing demand for high‐quality food by contributing significantly to the global fish production. The portion of fishmeal in aqua feeds has been decreased significantly in recent years, however, increased production in aquaculture still led to demands of fishmeal that cannot be covered by sustainably caught small pelagic fish. Hence, alternatives for fishmeal in aqua feeds are an inevitable necessity. Different plant proteins have been evaluated in the past and rapeseed proteins are considered valuable protein sources for fishmeal‐free aqua feeds. Rapeseed is highly available on a global scale and provides one of the most balanced amino acid composition among plant‐based protein sources. Additionally, rapeseed cultivation is characterised by low production costs, ecological and economic benefits in cereal‐dominated agriculture and provision of two highly nutritive products. Subsequently, rapeseed proteins have been intensely investigated over the past decades and knowledge of the application of these proteins in diets for different species of fish has improved dramatically. However, there is no adequate complete review for the application of rapeseed proteins in aqua feeds. This review outlines and discusses the relevant factors influencing the inclusion of rapeseed proteins as fishmeal alternatives in fish diets and highlights provisional thresholds for anti‐nutritive substances as well as future research needs.
File timestamps are used by forensics practitioners as a fundamental artifact. For example, the creation of user files can show traces of user activity, while system files, like configuration and log files, typically reveal when a program was run. Despite timestamps being ubiquitous, the understanding of their exact meaning is mostly overlooked in favor of fully-automated, correlation-based approaches. Existing work for practitioners aims at understanding Windows and is not directly applicable to Unix-like systems. In this paper, we review how each layer of the software stack (kernel, file system, libraries, application) influences MACB timestamps on Unix systems such as Linux, OpenBSD, FreeBSD and macOS. We examine how POSIX specifies the timestamp behavior and propose a framework for automatically profiling OS kernels, user mode libraries and applications, including compliance checks against POSIX. Our implementation covers four different operating systems, the GIO and Qt library, as well as several user mode applications and is released as open-source. Based on 187 compliance tests and automated profiling covering common file operations, we found multiple unexpected and non-compliant behaviors, both on common operations and in edge cases. Furthermore, we provide tables summarizing timestamp behavior aimed to be used by practitioners as a quick-reference.
Federica Cena is an associate professor at the Computer Science Department of the University of Turin and the head of "Smart City Lab" of academic center ICxT (from October 2015) (http://icxt.di.unito.it). She works on the intersection of Artificial Intelligence and Human-Computer Interaction. In the last years, she is mainly devoted to studying the implications of Internet of Things for user modeling and personalization, with a special focus on assistive applications for cognitive disabilities and frailty. She is the author of more than 100 scientific publications at conferences and in international journals. She leads as guest editor several special issues on different journals, among others Journal of Human Computer Studies, ACM Transactions on Intelligent Interactive Systems, ACM Transactions on Intelligent Systems and Technology, Computer, Behaviour and Information technology, New Review of Hypermedia and Multimedia, http://www.di.unito.it/~cena/
Bio-sourced and biodegradable poly(butylene succinate) (PBS) strands containing up to 40 m% mosquito-repellent N,N-diethyl-3-methylbenzamide (DEET) were obtained by extrusion, for an initial evaluation of the DEET evaporation characteristics and the possible application of such strands as biodegradable slow-release repellent-delivery devices. For DEET concentrations up to 20 m%, DEET is entrapped in the semicrystalline spherulitic superstructure of PBS. In contrast, at higher DEET concentrations, the liquid repellent, at least partially, is not fully incorporated in the PBS spherulites rather than segregates to form an own macrophase. Quantification of the release of DEET to the environment by thermogravimetric analysis at different temperatures between 60 and 100 °C allowed estimation of the evaporation rate at lower service temperatures, suggesting an extremely low release rate with a time constant of the order of magnitude of 1-2 years at 25 °C, independent of the initial concentration.
Zusammenfassung Dieser Beitrag der Zeitschrift Gruppe. Interaktion. Organisation. (GIO) setzt sich mit der digitalen Transformation der öffentlichen Verwaltung auseinander. Die Corona-Krise hat die Schwächen der deutschen öffentlichen Verwaltung offengelegt. Die Digitalisierung soll die Defizite beheben, wobei der Blick nahezu ausschließlich auf technologische Lösungen gerichtet wird. Bedingungen, die neben technischen Voraussetzungen für einen erfolgreichen Einsatz gegeben sein müssen, spielen eine untergeordnete oder gar keine Rolle. Darunter fallen Organisationsstrukturen, Prozesse und die dahinterliegenden Datenflüsse sowie die Kompetenzen bei Beschäftigten, Führungskräften und Anspruchsgruppen. Diese Aspekte haben wir in einem Modell zur Messung des digitalen Reifegrads zusammengeführt. Dessen Dimensionen und deren Interdependenzen werden im nachfolgenden Beitrag diskutiert.
Das erste Lexikon im Fintech-Bereich hilft bei der Begriffsklärung und stellt mit über 800 Schlagworten einschlägiges Know-how zur „Financial Technology“ bereit. Die beschriebenen Begriffe sind an der Schnittstelle von (Wirtschafts)Informatik, Finanzwissenschaft und Innovationsmanagement verortet und richten sich mit konzise beschriebenen und mit anschaulichen Grafiken ergänzten Inhalten gleichermaßen an Studierende, Praktiker und Wissenschaftler.
Zusammenfassung Der Klimawandel ist in den vergangenen Jahren auch in Europa immer sichtbarer geworden. Die deutlichsten Auswirkungen zeigen sich für die Wasserwirtschaft in den beiden extremen Formen Starkregen und Trockenheit. Die Trockenperioden in den Jahren 2018 und 2019 sowie die schweren Überschwemmungsereignisse in 2021 an der Ahr, der Erft und anderswo haben auf Seiten der Fachwelt die Sensibilität für die Auswirkungen dieser Wetterextreme weiter gesteigert. Mehr und mehr werden Lösungen zur Vorbeugung und Anpassung an die erwartete Zunahme solcher Ereignisse entwickelt. Viele deutsche Bundesländer stellen beispielsweise für die Erstellung von Starkregengefahrenkarten umfangreiche Fördermittel zur Verfügung. Die erforderlichen Bemühungen beschränken sich aber nicht nur auf erforderliche Maßnahmen bei Extremwetterereignissen. Zunehmend müssen (ab-)wasserwirtschaftliche Einrichtungen effizienter gestaltet werden, da sie nach wie vor einen erheblichen Energieverbraucher insbesondere in kleinen und mittelgroßen Gemeinden darstellen. Hier leistet die Wasserwirtschaft seit vielen Jahren einen wichtigen Beitrag zur Reduzierung von CO 2 durch stetig zunehmende Effizienzsteigerungen in technischen Einrichtungen. Dabei nimmt die Digitalisierung wie in anderen Wirtschafts- und Gesellschaftssektoren eine besondere Stellung bei der Entwicklung passender und wirksamer Lösungen ein. Forscher der Hochschule Hof haben im Rahmen des Vorhabens „WaterExe4.0“ (gefördert vom Bundesministerium für Bildung und Forschung) eine erste Metastudie zur Digitalisierung in der deutschsprachigen Wasserwirtschaft erstellt. In dieser Studie stellte sich heraus, dass trotz erheblicher Entwicklungsschübe in den letzten Jahren und Zunahme der Lösungsangebote auf den ersten Blick noch eine große Lücke zwischen Angebot und Umsetzung besteht. Ein realer Anwendungsbezug konnte nur für 11 % der rund 700 identifizierten Produkte, Projekte und Studien identifiziert werden. Um die Gründe für dieses scheinbare Ungleichgewicht herauszufinden, erfolgte die ergänzende Befragung von Expert:innen der Wasserwirtschaft. Die Antworten zeigten diesbezüglich beispielsweise auf, dass alltägliche Probleme zu wenig oder kaum in neuen Lösungen berücksichtigt werden, was die Anwender:innen stark überfordert. Weiterhin wird der Mehrwert einer Digitalisierungslösung für die jeweilige individuelle Situation noch immer zu wenig sichtbar. Zudem fehlen systematische Analysetools, um wesentliche Hindernisse infolge neuer Ideen zu identifizieren und den besten Weg für den Start und die Umsetzung eines Digitalisierungsprojekts zu finden. Die Komplexität des Themas führte dazu, dass die Studie „WaterExe4.0“ mithilfe von vier methodisch unterschiedlichen Teilerhebungen (Literatur- und Marktrecherche, Befragung, Expert:inneninterview und Workshops) durchgeführt wurde. Die Ergebnisse geben damit einen umfangreichen Überblick über die aktuelle Situation in der deutschsprachigen Wasserwirtschaft und zeigen die Erwartungen der Branchenteilnehmer für die Zukunft auf.
Supported titanium dioxide-based photocatalysts were investigated for the degradation of pharmaceuticals under irradiation with UVÀ A LEDs. Focus of the presented research was placed on the degradation kinetics under different matrix influences and energy flux densities of UVÀ A radiation. The chemical parameters, pH, orthophosphate, nitrogen concentration and background organic concentration were investigated. The results were evaluated by time-resolved measurement of the concentrations and by calculating and plotting the first-order degradation rate. The results showed clear differences in the rates of degradation of each compound, with diclofenac being the most easily degraded and metoprolol the most resistant. When the influence of energy flux density was examined, a linear relationship between degradation rate and the square root of energy flux density was confirmed. The organic background matrix has a strong influence on the degradation kinetics of the compounds. Nitrogen and ortho-phosphate slow down the degradation much less than the organic background matrix. Investigating the pH influence, it could be shown that almost no degradation is detected in the basic pH range. The results were illustrated with the help of a radar diagram, which can show all dependencies at a glance.
Das vierte Kapitel des Fintech-Lexikons umfasst die Schlagworte von N bis R.
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1,154 members
Rene Peinl
  • Institute of Information Systems (iisys)
Jörg Scheidt
  • Institute of Information Systems (iisys)
Andreas Wagener
  • European Management Institute (EMI)
Christine Falkenreck
  • Institute of Engineering
Valentin. Plenk
  • Institute of Information Systems (iisys)
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Hof, Germany