Refine
Departments, institutes and facilities
- Fachbereich Wirtschaftswissenschaften (90)
- Fachbereich Angewandte Naturwissenschaften (62)
- Fachbereich Informatik (55)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (41)
- Fachbereich Sozialpolitik und Soziale Sicherung (33)
- Fachbereich Ingenieurwissenschaften und Kommunikation (32)
- Institut für Verbraucherinformatik (IVI) (28)
- Präsidium (26)
- Internationales Zentrum für Nachhaltige Entwicklung (IZNE) (25)
- Institute of Visual Computing (IVC) (22)
- Institut für funktionale Gen-Analytik (IFGA) (19)
- Institut für Cyber Security & Privacy (ICSP) (17)
- Institut für Sicherheitsforschung (ISF) (7)
- Sprachenzentrum (7)
- Graduierteninstitut (4)
- Institut für Detektionstechnologien (IDT) (4)
- Institut für Soziale Innovationen (ISI) (3)
- Stabsstelle Kommunikation und Marketing (3)
- Verwaltung (3)
- Bibliothek (2)
- Centrum für Entrepreneurship, Innovation und Mittelstand (CENTIM) (2)
- Institut für Medienentwicklung und -analyse (IMEA) (2)
- Zentrum für Wissenschafts- und Technologietransfer (ZWT) (2)
Document Type
- Article (110)
- Part of a Book (94)
- Conference Object (93)
- Part of Periodical (26)
- Book (monograph, edited volume) (20)
- Report (13)
- Contribution to a Periodical (9)
- Working Paper (8)
- Doctoral Thesis (4)
- Preprint (3)
- Master's Thesis (2)
- Patent (2)
- Bachelor Thesis (1)
- Conference Proceedings (1)
- Lecture (1)
- Periodical (1)
- Book review (1)
Year of publication
- 2018 (389) (remove)
Keywords
- Digitalisierung (5)
- ICT (5)
- Lehrbuch (4)
- Betriebswirtschaftslehre (3)
- Dementia (3)
- FPGA (3)
- Qualitätsmanagement (3)
- User Experience (3)
- drug release (3)
- lignin (3)
Scientific or statistical research has long been the domain of dedicated programming languages such as R, SPSS or SAS. A few years other competitors entered the arena, among them Python with its powerful SciPy package. The following article introduces SciPy by applying a small subset of its functionality to a well-known dataset.
The increasing complexity of tasks that are required to be executed by robots demands higher reliability of robotic platforms. For this, it is crucial for robot developers to consider fault diagnosis. In this study, a general non-intrusive fault diagnosis system for robotic platforms is proposed. A mini-PC is non-intrusively attached to a robot that is used to detect and diagnose faults. The health data and diagnosis produced by the mini-PC is then standardized and transmitted to a remote-PC. A storage device is also attached to the mini-PC for data logging of health data in case of loss of communication with the remote-PC. In this study, a hybrid fault diagnosis method is compared to consistency-based diagnosis (CBD), and CBD is selected to be deployed on the system. The proposed system is modular and can be deployed on different robotic platforms with minimum setup.
Renewable resources are gaining increasing interest as a source for environmentally benign biomaterials, such as drug encapsulation/release compounds, and scaffolds for tissue engineering in regenerative medicine. Being the second largest naturally abundant polymer, the interest in lignin valorization for biomedical utilization is rapidly growing. Depending on its resource and isolation procedure, lignin shows specific antioxidant and antimicrobial activity. Today, efforts in research and industry are directed toward lignin utilization as a renewable macromolecular building block for the preparation of polymeric drug encapsulation and scaffold materials. Within the last five years, remarkable progress has been made in isolation, functionalization and modification of lignin and lignin-derived compounds. However, the literature so far mainly focuses lignin-derived fuels, lubricants and resins. The purpose of this review is to summarize the current state of the art and to highlight the most important results in the field of lignin-based materials for potential use in biomedicine (reported in 2014⁻2018). Special focus is placed on lignin-derived nanomaterials for drug encapsulation and release as well as lignin hybrid materials used as scaffolds for guided bone regeneration in stem cell-based therapies.
Möglichkeiten und Grenzen der Baustoffanalytik und anwendungstechnische Prüfungen an Objekten
(2018)
Untersuchungen zum Einfluss von chemischen Aktivatoren und Templaten auf die Zementhydratation
(2018)
Bei der Übertragung und Speicherung von Daten ist es eine wesentliche Frage, inwieweit die Daten komprimiert werden können, ohne dass deren Informationsgehalt verloren geht.
Ein Maß für den Informationsgehalt von Daten ist also von grundlegender Bedeutung. Vor etwa siebzig Jahren hat C. E. Shannon ein solches Maß eingeführt und damit das Lehr- und Forschungsgebiet der Informationstheorie begründet, welches seit dem bis heute hin wesentlich zur Konzeption und Realisierung von Informationsund Kommunikationstechnologien beigetragen hat. Etwa zwanzig Jahre später hat A. N. Kolmogorov ein anderes Maß für den Informationsgehalt von Daten eingeführt. Während die Shannonsche Informationstheorie zum Curriculum von mathematischen, informatischen und elektrotechnischen Studiengängen gehört, ist die Algorithmische Informationstheorie von Kolmogorov weit weniger bekannt und eher Gegenstand von speziellen Lehrveranstaltungen.
Seit einigen Jahren nimmt allerdings die Beschäftigung mit dieser Theorie zu, zumal in der einschlägigen Literatur von erfolgreichen praktischen Anwendungen der Theorie berichtet wird. Die vorliegende Arbeit gibt eine Einführung in grundlegende Ideen dieser Theorie und beschreibt deren Anwendungsmöglichkeiten bei einigen ausgewählten Problemstellungen der Theoretischen Informatik.
Die Ausarbeitung kann als Skript für einführende Lehrveranstaltungen in die Algorithmische Informationstheorie sowie als Lektüre zur Einarbeitung in die Thematik als Ausgangspunkt für Forschungs- und Entwicklungsarbeiten verwendet werden.
Seit 2012 wird an der Hochschule Bonn-Rhein-Sieg die Studieneingangsphase im Qualitätspakt Lehre gefördert. Ein wesentliches Anliegen im Projekt „Pro-MINT-us“ ist die Einbeziehung der gesamten Hochschule, um keine isolierten Maßnahmen anzubieten, sondern die im Projekt entwickelten Lehrideen nachhaltig zu verankern.
Organisationen wollen Produkte mit guter User Experience herstellen. Durch die Evaluation der organisationalen UX-Gestaltungskompetenz können Organisationen erkennen, wie stark ihre momentane UX-Gestaltungskompetenz ausgeprägt ist und wie die Kompetenz gezielt gesteigert werden kann. Für die Abbildung der aktuellen Kompetenz werden ein Fragebogen zur theoretischen Kompetenz und ein Fragebogen für die Produktevaluation kombiniert. Durch diese Kombination wird die Kompetenz der Organisation aus der Handlungs- und der Ergebnisperspektive betrachtet. Für die Erarbeitung von Handlungsfeldern zur Verbesserung der Kompetenz werden qualitative Interviews durchgeführt und mit den Ergebnissen der quantitativen Erhebungen verknüpft. Durch einen anschließenden Ergebnisworkshop erarbeiten sich die Mitglieder der Organisation einen effizienten Weg zur Steigerung der organisationalen UX-Kompetenz.
After replanting apple (Malus domestica Borkh.) on the same site severe growth suppressions, and a decline in yield and fruit quality are observed in all apple producing areas worldwide. The causes of this complex phenomenon, called apple replant disease (ARD), are only poorly understood up to now which is in part due to inconsistencies in terms and methodologies. Therefore we suggest the following definition for ARD: ARD describes a harmfully disturbed physiological and morphological reaction of apple plants to soils that faced alterations in their (micro-) biome due to the previous apple cultures. The underlying interactions likely have multiple causes that extend beyond common analytical tools in microbial ecology. They are influenced by soil properties, faunal vectors, and trophic cascades, with genotype-specific effects on plant secondary metabolism, particularly phytoalexin biosynthesis. Yet, emerging tools allow to unravel the soil and rhizosphere (micro-) biome, to characterize alterations of habitat quality, and to decipher the plant reactions. Thereby, deep insights into the reactions taking place at the root rhizosphere interface will be gained. Counteractions are suggested, taking into account that culture management should emphasize on improving soil microbial and faunal diversity as well as habitat quality rather than focus on soil disinfection.
Gegenstand dieser Arbeit sind Untersuchungen zur Detektion von verpackten Gefahrstoffen wie beispielsweise Explosivstoffen. Hierzu wird in einem ersten Schritt die Verpackung mittels Laserbohrens durchdrungen, um anschließend den nun freiliegenden Gefahrstoff nachweisen zu können. Dies geschieht einerseits durch eine lasergestützte Probenahme und anschließende Detektion mit gängigen chemisch-analytischen Verfahren sowie direkt bei der Wechselwirkung zwischen Laser und Gefahrstoff mittels Ramanspektroskopie. Zudem werden schnelle in situ-Techniken im Hinblick auf ihre Eignung zur Überwachung des Laserbohrprozesses untersucht. Hier werden kostengünstige und kompakte Sensortechniken (Messung der Prozessgase durch Halbleitergassensoren, Messung des Luftschalls mittels Kondensatormikrofon) mit aufwendigeren und komplexeren spektroskopischen Verfahren (Plasma- und Ramanspektroskopie) bewertend verglichen. Anhand ausgewählter Modellsysteme in verkleinertem Maßstab werden die unterschiedlichen Verfahren unter Verwendung gängiger Verpackungs- und Hüllenmaterialien sowie anhand ausgewählter Explosivstoffe charakterisiert. Für das Laserverfahren kommen gepulste Nd:YAG Laser mit unterschiedlichen Emissionswellenlängen zum Einsatz.
Die vorliegende Forschungsarbeit setzt sich mit nachhaltigem Verhalten in Bezug auf die Nutzung von Kaffeebehältern an der HBRS auseinander. Anlass dafür ist, dass Pappbecher aufgrund einer Plastikbeschichtung nur schwer recycelbar sind und somit die Umwelt erheblich beeinträchtigen. In diesem Zusammenhang nahmen 204 Studierende an einer Online-Befragung teil. Den Ergebnissen zufolge kommen derzeit vor allem Einweg-Pappbecher zum Einsatz. Zur Modifizierung dieses umweltschädlichen Verhaltens bedarf es an geeigneten Interventionsstrategien. Basierend auf den Ergebnissen sind Maßnahmen zu implementieren, die dem Defizit an Handlungswissen und dem hohen Aufwand entgegenwirken, welcher mit der Verwendung eigens mitgebrachter Becher und den vorhandenen Porzellantassen assoziiert wird. Nach Sicherstellung der ökologischen Vorteile und finanziellen Umsetzbarkeit sollte das bestehende Pfandsystem um praktischere Becher sowie flexible Rückgabemöglichkeiten erweitert werden. Unterstützend ist eine Belohnung in Form von Freigetränken oder einem geringen finanziellen Rabatt sinnvoll, um den automatischen Verbrauch von Pappbechern zu unterbinden.
The epithelial sodium channel (ENaC) is a critical regulator of vertebrate electrolyte homeostasis. ENaC is the only constitutively open ion channel in the degenerin/ENaC protein family, and its expression, membrane abundance, and open probability therefore are tightly controlled. The canonical ENaC is composed of three subunits (, , and ), but a fourth -subunit may replace and form atypical -ENaCs. Using Xenopus laevis as a model, here we found that mRNAs of the - and -subunits are differentially expressed in different tissues and that -ENaC predominantly is present in the urogenital tract. Using whole-cell and single-channel electrophysiology of oocytes expressing Xenopus - or -ENaC, we demonstrate that the presence of the -subunit enhances the amount of current generated by ENaC due to an increased open probability, but also changes current into a transient form. Activity of canonical ENaCs is critically dependent on proteolytic processing of the - and -subunits, and immunoblotting with epitope-tagged ENaC subunits indicated that, unlike -ENaC, the -subunit does not undergo proteolytic maturation by the endogenous protease furin. Furthermore, currents generated by -ENaC were insensitive to activation by extracellular chymotrypsin, and presence of the -subunit prevented cleavage of -ENaC at the cell surface. Our findings suggest that subunit composition constitutes an additional level of ENaC regulation, and we propose that the Xenopus -ENaC subunit represents a functional example that demonstrates the importance of proteolytic maturation during ENaC evolution.
Der globalisierte Kapitalismus, Umweltkatastrophen, Überbevölkerung sowie zunehmende politisch und religiös motivierte Konflikte fordern ein Umdenken ökonomischer Konzepte. Allein mit den herkömmlichen Sozial- und Wirtschaftssystemen lassen sich existenzbedrohende Probleme wie Armut, Hunger, Krankheit, mangelnde Bildung und Betreuung nicht lösen. Es gilt dringend, neue, zukunftsweisende unternehmerische Konzepte zu entwickeln und zu fördern. Seit geraumer Zeit hat sich unter dem Begriff „Social Entrepreneurship“ eine Bewegung etabliert, die versucht, unter Beachtung klassischer Ökonomiegrundsätze gesellschaftliche Herausforderungen nachhaltig zu lösen.
Mit dem Anspruch, die Qualität in der medizinischen Rehabilitation weiterzuentwickeln, haben sich im Jahr 2007 13 Kliniken von acht Trägern zusammengeschlossen. Heute, ein gutes Jahrzehnt später, vereint der Qualitätsverbund Gesundheit rund 30 Reha-Kliniken von elf Trägern, darunter kommunale und kirchliche Institutionen, Privatunternehmen und die Rehazentren der Deutschen Rentenversicherung Baden-Württemberg.
Towards explaining deep learning networks to distinguish facial expressions of pain and emotions
(2018)
Deep learning networks are successfully used for object and face recognition in images and videos. In order to be able to apply such networks in practice, for example in hospitals as a pain recognition tool, the current procedures are only suitable to a limited extent. The advantage of deep learning methods is that they can learn complex non-linear relationships between raw data and target classes without limiting themselves to a set of hand-crafted features provided by humans. However, the disadvantage is that due to the complexity of these networks, it is not possible to interpret the knowledge that is stored inside the network. It is a black-box learning procedure. Explainable Artificial Intelligence (AI) approaches mitigate this problem by extracting explanations for decisions and representing them in a human-interpretable form. The aim of this paper is to investigate the explainable AI method Layer-wise Relevance Propagation (LRP) and apply it to explain how a deep learning network distinguishes facial expressions of pain from facial expressions of emotions such as happiness and disgust.
Background: Local injection of autologous conditioned serum (ACS) is a well-known therapy for inflammatory diseases (IDs). While patients’ blood is incubated to generate ACS (with subsequent centrifugation), immune cells produce high amounts of growth factors and cytokines. This include, amongst others, interleukin-1 receptor antagonist (IL-1ra), interleukins 6 and 10, tumour necrosis factor alpha (TNF-α) and transforming growth factor beta 1 (TGF-β1). The aim of this study was to analyse exosomes release into ACS as well as their cytokine cargo.
In recent years, a variety of methods have been introduced to exploit the decrease in visual acuity of peripheral vision, known as foveated rendering. As more and more computationally involved shading is requested and display resolutions increase, maintaining low latencies is challenging when rendering in a virtual reality context. Here, foveated rendering is a promising approach for reducing the number of shaded samples. However, besides the reduction of the visual acuity, the eye is an optical system, filtering radiance through lenses. The lenses create depth-of-field (DoF) effects when accommodated to objects at varying distances. The central idea of this article is to exploit these effects as a filtering method to conceal rendering artifacts. To showcase the potential of such filters, we present a foveated rendering system, tightly integrated with a gaze-contingent DoF filter. Besides presenting benchmarks of the DoF and rendering pipeline, we carried out a perceptual study, showing that rendering quality is rated almost on par with full rendering when using DoF in our foveated mode, while shaded samples are reduced by more than 69%.
Untersuchungen zur Hydrophobierung von Miscanthus X giganteus für den Einsatz in Dämmstoffsystemen
(2018)
Friction effects impose a requirement for the supplementary amount of torque to be produced in actuators for a robot to move, which in turn increases energy consumption. We cannot eliminate friction, but we can optimize motions to make them more energy efficient, by considering friction effects in motion computations. Optimizing motions means computing efficient joint torques/accelerations based on different friction torques imposed in each joint. Existing friction forces can be used for supporting certain types of arm motions, e.g standing still.
Reducing energy consumption of robot's arms will provide many benefits, such as longer battery life of mobile robots, reducing heat in motor systems, etc.
The aim of this project is extending an already available constrained hybrid dynamic solver, by including static friction effects in the computations of energy optimal motions. When the algorithm is extended to account for static friction factors, a convex optimization (maximization) problem must be solved.
The author of this hybrid dynamic solver has briefly outlined the approach for including static friction forces in computations of motions, but without providing a detailed derivation of the approach and elaboration that will show its correctness. Additionally, the author has outlined the idea for improving the computational efficiency of the approach, but without providing its derivation.
In this project, the proposed approach for extending the originally formulated algorithm has been completely derived and evaluated in order to show its feasibility. The evaluation is conducted in simulation environment with one DOF robot arm, and it shows correct results from the computation of motions. Furthermore, this project presents the derivation of the outlined method for improving the computational efficiency of the extended solver.
From September 2016 to February 2017, I did an internship at the University of Cape Coast, Ghana (UCC) as part of my studies in Business Administration at Hochschule Bonn-Rhein-Sieg, University of Applied Sciences, Germany (H-BRS). At H-BRS, an internship of five or six months (or, alternatively, one exchange semester) is an obligatory part of the curriculum so students get hands-on experience even before they enter the job market. My internship was also part of the intercontinental partnership between UCC and H-BRS, which has resulted in many different projects.
Daryoush Daniel Vaziri illustrates that the use of mixed methods designs may support the induction of more subtle and complete theories about older adults’ use of technologies for the support of active and healthy aging. The results show that older adults’ social contexts and environments considerably affect their perspectives, practices and attitudes with respect to health, quality of life, well-being and technology use for active and healthy aging support. Results were collected with older adults aged 60+ as well as relevant secondary stakeholders like caregivers, policy makers or health insurance companies.
Speech understanding is a fundamental feature for many applications focused on human-robot interaction. Although many techniques and several services for speech recognition and natural language understanding have been developed in the last years, specific implementation and validation on domestic service robots have not been performed. In this paper, we describe the implementation and the results of a functional benchmark for speech understanding in service robotics that has been developed and tested in the context of different robot competitions: RoboCup@Home, RoCKIn@Home and within the European Robotics League on Service Robots. Different approaches used by the teams in the competitions are presented and the evaluation results obtained in the competitions are discussed.
Through the “Act to Strengthen the Non-financial Reporting by Corporations in their Management and Group Management Reports” (Gesetz zur Stärkung der nichtfinanziellen Berichterstattung der Unternehmen in ihren Lage- und Konzernlageberichten) (CSR Directive Transposition Act, „CSR-RUG“) of 11 April 2017[1], the German Bundestag implemented Directive 2014/95/EU (“CSR Directive”)[2] into German law. Following the European impetus, the CSR-RUG enriches the traditional repertoire of forms of action under environmental law by a further instrument. Already the regulatory context gives an idea of its atypical nature: The centrepiece of the CSR-RUG is the amendment of and addition to the Third Book of the German Commercial Code (Handelsgesetzbuch, “HGB”), which deals with the “trading books” of undertakings, i.e., accounting and reporting requirements. Since the reporting year 2017, large capital market-oriented corporations must report extensively within the framework of their annual management reports on their activities and effects in certain areas of “Corporate Social Responsibility”. This also includes environmental matters. The transparency and publicity this entails is intended to generate positive stimuli for more responsible, sustained and not least of all environmentally friendly entrepreneurial action.
Following a brief presentation of the European legal bases and their implementation in Germany (I.), we will classify the provisions within the underlying concept of Corporate Social Responsibility (II.) and analyse and systemise the governance effects of non-financial reporting (III.). A few remarks on selected aspects of the chosen approach and its implementation (IV.) as well as an outlook summarising our conclusions (V.) will complete this article. By detailing the German approach to transposing the CSR Directive, this paper intends to provide an example of the challenges member state legislators face when complying with modern governance concepts such as Corporate Social Responsibility by way of non-financial reporting obligations.
[1] Federal Law Gazette, Part I 2017, 802 et seq.
[2] Directive 2014/95/EU of the European Parliament and of the Council 22 October 2014 amending Directive 2013/34/EU as regards disclosure of non-financial and diversity information by certain large undertakings and groups, OJ EU No. L 330, p. 1.
This paper presents the outcomes of an exploratory field study that examined the social impact of an ICT-based suite of exergames for people with dementia and their caregivers. Qualitative data was collected over a period of 8 months, during which time we studied the daily life of 14 people with dementia and their informal and professional caregivers. We focus on the experiential aspects of the system and examine its social impact when integrated into the daily routines of both people with dementia themselves and their professional and family caregivers. Our findings indicate that relatives were able to regain leisure time, whilst people with dementia were able to recapture certain aspects of their social and daily activities that might otherwise have been lost to them. Results suggest that the system enhanced social-interaction, invigorated relationships, and improved the empowerment of people with dementia and their caregivers to face daily challenges.
Dementia not only affects the cognitive capabilities, especially memory and orientation, but also physical capabilities, which are associated with a decrease of physical activities. Here, ICT can play a major role to improve health, quality of life and wellbeing in older adults suffering from dementia and related stakeholders, such as relatives, professional and informal caregivers. The aim of the presented system is to increase physical and cognitive capabilities of people with dementia and their caregivers to support them in daily life activities, reduce the strain of the caregivers and improve both their wellbeing.
As a result of ageing societies, the prevalence of dementia, and accordingly the need of care is increasing rapidly. Here, the use of ICT-based technologies may facilitate and promote a self-sustaining life-style for people with dementia and their caregivers. The presented poster describes early findings from the project MobiAssist and outlines the ICT-based training system. The system aims to increase the physical and cognitive capabilities of people with dementia, relief the caregivers and improve wellbeing of involved parties.
Qualität und Wirksamkeit – Gedanken zur qualitätsorientierten Steuerung in der Rehabilitation
(2018)
Smallholder farmers as a backbone for the implementation of the Sustainable Development Goals
(2018)
Motion capture, often abbreviated mocap, generally aims at recording any kind of motion -- be it from a person or an object -- and to transform it to a computer-readable format. Especially the data recorded from (professional and non-professional) human actors are typically used for analysis in e.g. medicine, sport sciences, or biomechanics for evaluation of human motion across various factors. Motion capture is also widely used in the entertainment industry: In video games and films realistic motion sequences and animations are generated through data-driven motion synthesis based on recorded motion (capture) data.
Although the amount of publicly available full-body-motion capture data is growing, the research community still lacks a comparable corpus of specialty motion data such as, e.g. prehensile movements for everyday actions. On the one hand, such data can be used to enrich (hand-over animation) full-body motion capture data - usually captured without hand motion data due to the drastic dimensional difference in articulation detail. On the other hand, it provides means to classify and analyse prehensile movements with or without respect to the concrete object manipulated and to transfer the acquired knowledge to other fields of research (e.g. from 'pure' motion analysis to robotics or biomechanics).
Therefore, the objective of this motion capture database is to provide well-documented, free motion capture data for research purposes.
The presented database GraspDB14 in sum contains over 2000 prehensile movements of ten different non-professional actors interacting with 15 different objects. Each grasp was realised five times by each actor. The motions are systematically named containing an (anonymous) identifier for each actor as well as one for the object grasped or interacted with.
The data were recorded as joint angles (and raw 8-bit sensor data) which can be transformed into positional 3D data (3D trajectories of each joint).
In this document, we provide a detailed description on the GraspDB14-database as well as on its creation (for reproducibility).
Chapter 2 gives a brief overview of motion capture techniques, freely available motion capture databases for both, full body motions and hand motions, and a short section on how such data is made useful and re-used. Chapter 3 describes the database recording process and details the recording setup and the recorded scenarios. It includes a list of objects and performed types of interaction. Chapter 4 covers used file formats, contents, and naming patterns. We provide various tools for parsing, conversion, and visualisation of the recorded motion sequences and document their usage in chapter 5.
Vertrauen ist das Schmiermittel der Shareconomy. Einen zentralen Mechanismus hierfür stellen Crowd-basierte Reputationssysteme dar, bei denen Informationen und Bewertungen anderer Nutzer dazu dienen Vertrauen aufzubauen. Die Vernetzung zu teilender Gegenstände bietet hierbei neue Potentiale, um die Reputation eines Anbieters oder Nachfragers zu bewerten und einzuschätzen. In diesem Beitrag untersu-chen wir daher das Potential eines IoT-basierten Reputationssystems im Kontext von Peer-to-Peer Car-sharing, bei dem Informationen und Bewertungen mittels Sensorik während der Nutzung des Fahrzeugs erhoben und ausgewertet werden. Hierzu wurden zwei Fokusgruppen mit insgesamt 12 Personen durch-geführt. Die Ergebnisse deuten an, dass datenbasierte Reputationssysteme das Vertrauen nicht nur vor, sondern auch während der Vermietung und in der Nachkontrolle für Ver- und Entleiher steigern können. Jedoch sollten bei der Gestaltung solcher Systeme die Prinzipien der mehrseitigen Sicherheit wie Spar-samkeit, Verhältnismäßigkeit, Transparenz und Reziprozität beachtet werden.
Die im Folgenden dargestellten wichtigsten Ergebnisse des Teilprojektes 5 "Mathematische Beschreibung der relevanten physikalischen Prozesse und numerische Simulation von Wasseraufbereitung und -verteilung" beziehen sich auf die Arbeitspakete 2 "Daten und Methoden zum Modellaufbau, zur Zustandsschätzung, Prognose und Bewertung" und 3 "Physikalische Modelle und Numerische Verfahren".
In Form der Nachhaltigkeitsberichterstattung werden erstmals sämtliche darauf bezogenen Daten im Unternehmen zusammengestellt und zu Indikatoren aggregiert. Im vorliegenden Beitrag wird überprüft, inwieweit dieser Datenpool für die Produktionsplanung und -Steuerung (PPS) genutzt werden kann. Dazu werden die Berichterstattungsstandards GRI und SASB herangezogen. Die Qualität der Nachhaltigkeitsindikatoren wird anhand der Kriterien Fehlerfreiheit, Aktualität, Relevanz und Angemessener Umfang hinterfragt. Der Lösungsansatz besteht zunächst darin, die für die Nachhaltigkeitsindikatoren aggregierten Daten wieder in ihre Komponenten zu separieren. Bei Daten ohne klaren Bezug zum Produktionsprozess (z.B. gemischte Abfallsammelbehälter) liefert das Erfahrungswissen der Mitarbeiter vor Ort die Basis für einen weiteren Regelkreis, der als Kontinuierlicher Verbesserungsprozess (KVP bzw. Kaizen) innerhalb der Produktion und Montage auf gebaut werden kann. Die Langform des Beitrags wurde online auf ERP-Management.de veröffentlicht.
Text is one of the key sources of information for social sciences and humanities which, with the rise and development of computational technologies, has been mostly available via digital libraries, archives and websites. It enables researchers to increasingly deal with large scale text corpora that require the use of advanced software tools to process them and extract information. Computational linguistics - a discipline that has emerged on the border of computer science, linguistics and statistics - has achieved certain results in automated text analysis and information extraction, e.g., tools for part-of-speech tagging, grammar parsing, semantic role labelling, sentiment analysis and anaphora resolution have been developed and successfully used in many scientific projects. However, there still exists a gap between technology available and the needs of social sciences: named entity recognizers are incapable of identifying actors, sentiment analysis just provides the overall mood of an expression but is not able to identify the evaluation of information by the utterer, topic modeling tools can only assign a topic to a document, but fall short of measuring its frame.
Large, high-resolution displays demonstrated their effectiveness in lab settings for cognitively demanding tasks in single user and collaborative scenarios. The effectiveness is mostly reached through inherent displays' properties - large display real estate and high resolution - that allow for visualization of complex datasets, and support of group work and embodied interaction. To raise users' efficiency, however, more sophisticated user support in the form of advanced user interfaces might be needed. For that we need profound understanding of how large, tiled displays impact users work and behavior. We need to extract behavioral patterns for different tasks and data types. This paper reports on study results of how users, while working collaboratively, process spatially fixed items on large, tiled displays. The results revealed a recurrent pattern showing that users prefer to process documents column wise rather than row wise or erratic.
Large, high-resolution displays are highly suitable for creation of digital environments for co-located collaborative task solving. Yet, placing multiple users in a shared environment may increase the risk of interferences, thus causing mental discomfort and decreasing efficiency of the team. To mitigate interferences coordination strategies and techniques were introduced. However, in a mixed-focus collaboration scenarios users switch now and again between loosely and tightly collaboration, therefore different coordination techniques might be required depending on the current collaboration state of team members. For that, systems have to be able to recognize collaboration states as well as transitions between them to ensure a proper adjustment of the coordination strategy. Previous studies on group behavior during collaboration in front of large displays investigated solely collaborative coupling states, not transitions between them though. To address this gap, we conducted a study with 12 participant dyads in front of a tiled display and let them solve two tasks in two different conditions (focus and overview). We looked into group dynamics and categorized transitions by means of changes in proximity, verbal communication, visual attention, visual interface, and gestures. The findings can be valuable for user interface design and development of group behavior models.
Messkampagnen im Projekt METPVNET zur Verbesserung der PV- Erzeugungsprognose auf Verteilnetzebene
(2018)
Serine/threonine kinase 4 (STK4) deficiency is an autosomal recessive genetic condition that leads to primary immunodeficiency (PID) typically characterized by lymphopenia, recurrent infections and Epstein Barr Virus (EBV) induced lymphoproliferation and -lymphoma. State-of-the-art treatment regimens consist of prevention or treatment of infections, immunoglobulin substitution (IVIG) and restoration of the immune system by hematopoietic stem cell transplantation. Here, we report on two patients from two consanguineous families of Turkish (patient P1) and Moroccan (patient P2) decent, with PID due to homozygous STK4 mutations. P1 harbored a previously reported frameshift (c.1103 delT, p.M368RfsX2) and P2 a novel splice donor site mutation (P2; c.525+2 T>G). Both patients presented in childhood with recurrent infections, CD4 lymphopenia and dysregulated immunoglobulin levels. Patient P1 developed a highly malignant B cell lymphoma at the age of 10 years and a second, independent Hodgkin lymphoma 5 years later. To our knowledge she is the first STK4 deficient case reported who developed lymphoma in the absence of detectable EBV or other common viruses. Lymphoma development may be due to the lacking tumor suppressive function of STK4 or the perturbed immune surveillance due to the lack of CD4+ T cells. Our data should raise physicians' awareness of [1] lymphoma proneness of STK4 deficient patients even in the absence of EBV infection and [2] possibly underlying STK4 deficiency in pediatric patients with a history of recurrent infections, CD4 lymphopenia and lymphoma and unknown genetic make-up. Patient P2 experienced recurrent otitis in childhood, but when she presented at the age of 14, she showed clinical and immunological characteristics similar to patients suffering from Autoimmune Lymphoproliferative Syndrome (ALPS): elevated DNT cell number, non-malignant lymphadenopathy and hepatosplenomegaly, hematolytic anemia, hypergammaglobulinemia. Also patient P1 presented with ALPS-like features (lymphadenopathy, elevated DNT cell number and increased Vitamin B12 levels) and both were initially clinically diagnosed as ALPS-like. Closer examination of P2, however, revealed active EBV infection and genetic testing identified a novel STK4 mutation. None of the patients harbored typically ALPS-associated mutations of the Fas receptor mediated apoptotic pathway and Fas-mediated apoptosis was not affected. The presented case reports extend the clinical spectrum of STK4 deficiency.
While Anglo-Saxon HEIs focus on a strong educational background and personal development of students, the German system, in particular Universities of Applied Sciences, emphasize employability through the transfer of job-related professional and soft skills. In this context, learning by practical application of skills has become an important instrument. Concepts for linking theory and application include research-based learning, practical internships or service learning – methods, which also maintain high standards of academic education.
Introduction
(2018)
This handbook describes the processes and success factors of marketoriented university services to the non-academic world, and the processes to integrate these services into teaching. It aims to highlight benchmark examples from Africa and Germany in order to outline motivational factors, influencing aspects, as well as drivers and barriers to applied university services in developing countries.
Major progress occurred in understanding inborn errors of ketone body transport and metabolism between the International Congresses on Inborn Errors of Metabolism in Barcelona (2013) and Rio de Janeiro (2017). These conditions impair either ketogenesis (presenting as episodes of hypoketotic hypoglycemia) or ketolysis (presenting as ketoacidotic episodes); for both groups, immediate intravenous glucose administration is the most critical and (mHGGCS, HMGCS2) effective treatment measure.
3-Hydroxy-3-methylglutaryl-coenzyme A lyase (HMGCL, HMGCL) deficiency is a rare inborn error of ketogenesis. Even if the ketogenic enzyme is fully disrupted, an elevated signal for the ketone body acetoacetic acid is a frequent observation in the analysis of urinary organic acids, at least if derivatization is performed by methylation. We provide an explanation for this phenomenon and trace it back to degradation of the derivatized 3-hydroxy-3-methylglutaric acid and high temperature of the injector of the gas chromatograph.
Pozzolanic properties of Pennisetum purpureum grass ash were tested on Portland cement. Results show that the ash can be blended with cements without compromising binding strength of the cement. It was found that Portland cement could be blended with Pennisetum purpureum up to a ratio of 3:2 compromising compressive strength of mortar.Mortar with lower cement replacement took longer to set as evidenced by lower compressive strength within the 28-day aging time. Mortar with higher cement replacement had lower water absorption capacity, an indication that the test pozzolan was of smaller particulate size. XRF analysis and the FTIR spectrum showed that the ash has a higher content of silica. The XRD pattern of the ash showed that the ash was predominantly amorphous. SEM images showed that the ash produced at 600 o C had residual carbon material.
The paper contributes to the debate on the political economy of implementation of propoor social policy. It argues for a broadening of the debate, which is dominated by technocratic arguments, emphasizing the lack of financial resources, technology or skills as the major barriers for effective implementation. Describing the dynamic interplay of ‘formal’ operational programme structures and ‘informal’ traditional institutions in delivering the CT-OVC – the largest and oldest cash transfer programme in Kenya – it argues for the need to look more closely into the local political economy as an important mediating arena for implementing social policies. Implementation is heavily contingent upon the local social, political and institutional context that influences and shapes its outcomes. These processes are highly dynamic and ambivalent evolving between ‘formal’ and ‘informal’ structures and institutions. They may change over time and place, challenging the implicit assumption that programmes are evenly implemented across geographic and political entities.
Qualität als Erfolgsfaktor
(2018)
We present the performance of the upGREAT heterodyne array receivers on the SOFIA telescope after several years of operations. This instrument is a multi-pixel high resolution (R≳107) spectrometer for the Stratospheric Observatory for Far-Infrared Astronomy (SOFIA). The receivers use 7-pixel subarrays configured in a hexagonal layout around a central pixel. The low frequency array receiver (LFA) has 2×7 pixels (dual polarization), and presently covers the 1.83–2.07THz frequency range, which allows to observe the [CII] and [OI] lines at 158μm and 145μm wavelengths. The high frequency array (HFA) covers the [OI] line at 63μm and is equipped with one polarization at the moment (7 pixels, which can be upgraded in the near future with a second polarization array). The 4.7THz array has successfully flown using two separate quantum-cascade laser local oscillators from two different groups. NASA completed the development, integration and testing of a dual-channel closed-cycle cryocooler system, with two independently operable He compressors, aboard SOFIA in early 2017 and since then, both arrays can be operated in parallel using a frequency separating dichroic mirror. This configuration is now the prime GREAT configuration and has been added to SOFIA’s instrument suite since observing cycle 6.
3D user interfaces for virtual reality and games: 3D selection, manipulation, and spatial navigation
(2018)
In this course, we will take a detailed look at different topics in the field of 3D user interfaces (3DUIs) for Virtual Reality and Gaming. With the advent of Augmented and Virtual Reality in numerous application areas, the need and interest in more effective interfaces becomes prevalent, among others driven forward by improved technologies, increasing application complexity and user experience requirements. Within this course, we highlight key issues in the design of diverse 3DUIs by looking closely into both simple and advanced 3D selection/manipulation and spatial navigation interface design topics. These topics are highly relevant, as they form the basis for most 3DUI-driven application, yet also can cause major issues (performance, usability, experience. motion sickness) when not designed properly as they can be difficult to handle. Within this course, we build on top of a general understanding of 3DUIs to discuss typical pitfalls by looking closely at theoretical and practical aspects of selection, manipulation, and navigation and highlight guidelines for their use.