A daily perspective on work interruptions

Diese Dissertation basiert auf einem theoretischen Artikel und zwei empirischen Studien.rnrnDer theoretische Artikel: Es wird ein theoretisches Rahmenmodell postuliert, welches die Kumulierung von Arbeitsunterbrechung und deren Effekte untersucht. Die meisten bisherigen Studien haben Unterbrechungen als isoliertes Phänomen betrachtet und dabei unberücksichtigt gelassen, dass während eines typischen Arbeitstages mehrere Unterbrechungen gleichzeitig (oder aufeinanderfolgend) auftreten. In der vorliegenden Dissertation wird diese Lücke gefüllt, indem der Prozess der kumulierenden Unterbrechungen untersucht wird. Es wird beschrieben,rninwieweit die Kumulation von Unterbrechungen zu einer neuen Qualität vonrn(negativen) Effekten führt. Das Zusammenspiel und die gegenseitige Verstärkung einzelner Effekte werden dargestellt und moderierende und mediierende Faktoren aufgezeigt. Auf diese Weise ist es möglich, eine Verbindung zwischen kurzfristigen Effekten einzelner Unterbrechungen und Gesundheitsbeeinträchtigungen durch die Arbeitsbedingung ‚Unterbrechungen‘rnherzustellen.rnrnStudie 1: In dieser Studie wurde untersucht, inwieweit Unterbrechungen Leistung und Wohlbefinden einer Person innerhalb eines Arbeitstages beeinflussen. Es wurde postuliert, dass das Auftreten von Unterbrechungen die Zufriedenheit mit der eigenen Leistung vermindert und das Vergessen von Intentionen und das Irritationserleben verstärkt. Geistige Anforderung und Zeitdruck galten hierbei als Mediatoren. Um dies zu testen, wurden 133 Pflegekräften über 5 Tage hinweg mittels Smartphones befragt. Mehrebenenanalysen konnten die Haupteffekte bestätigen. Die vermuteten Mediationseffekte wurden für Irritation und (teilweise) für Zufriedenheit mit der Leistung bestätigt, nicht jedoch für Vergessen von Intentionen. Unterbrechungen führen demzufolge (u.a.) zu negativen Effekten, da sie kognitiv anspruchsvoll sind und Zeit beanspruchen.rnrnStudie 2: In dieser Studie wurden Zusammenhänge zwischen kognitiven Stressorenrn(Arbeitsunterbrechungen und Multitasking) und Beanspruchungsfolgen (Stimmung und Irritation) innerhalb eines Arbeitstages gemessen. Es wurde angenommen, dass diese Zusammenhänge durch chronologisches Alter und Indikatoren funktionalen Alters (Arbeitsgedächtniskapazität und Aufmerksamkeit) moderiert wird. Ältere mit schlechteren Aufmerksamkeitsund Arbeitsgedächtnisleistungen sollten am stärksten durch die untersuchten Stressoren beeinträchtigt werden. Es wurde eine Tagebuchstudie (siehe Studie 1) und computergestützternkognitive Leistungstests durchgeführt. Mehrebenenanalysen konnten die Haupteffekte für die abhängigen Variablen Stimmung (Valenz und Wachheit) und Irritation bestätigen, nicht jedoch für Erregung (Stimmung). Dreifachinteraktionen wurden nicht in der postulierten Richtung gefunden. Jüngere, nicht Ältere profitierten von einem hohen basalen kognitivenrnLeistungsvermögen. Ältere scheinen Copingstrategien zu besitzen, die mögliche kognitive Verluste ausgleichen. rnrnIm Allgemeinen konnten die (getesteten) Annahmen des theoretischen Rahmenmodellsrnbestätigt werden. Prinzipiell scheint es möglich, Ergebnisse der Laborforschung auf die Feldforschung zu übertragen, jedoch ist es notwendig die Besonderheiten des Feldes zu berücksichtigen. Die postulieren Mediationseffekte (Studie 1) wurden (teilweise) bestätigt. Die Ergebnisse weisen jedoch darauf hin, dass der volle Arbeitstag untersucht werden muss und dass sehr spezifische abhängige Variablen auch spezifischere Mediatoren benötigen. Des Weiteren konnte in Studie 2 bestätigt werden, dass die kognitive Kapazität eine bedeutsamernRessource im Umgang mit Unterbrechungen ist, im Arbeitskontext jedoch auch andere Ressourcen wirken.

A framework for cyber-physical system simulation

In these last years, systems engineering has became one of the major research domains. The complexity of systems has increased constantly and nowadays Cyber-Physical Systems (CPS) are a category of particular interest: these, are systems composed by a cyber part (computer-based algorithms) that monitor and control some physical processes. Their development and simulation are both complex due to the importance of the interaction between the cyber and the physical entities: there are a lot of models written in different languages that need to exchange information among each other. Normally people use an orchestrator that takes care of the simulation of the models and the exchange of informations. This orchestrator is developed manually and this is a tedious and long work. Our proposition is to achieve to generate the orchestrator automatically through the use of Co-Modeling, i.e. by modeling the coordination. Before achieving this ultimate goal, it is important to understand the mechanisms and de facto standards that could be used in a co-modeling framework. So, I studied the use of a technology employed for co-simulation in the industry: FMI. In order to better understand the FMI standard, I realized an automatic export, in the FMI format, of the models realized in an existing software for discrete modeling: TimeSquare. I also developed a simple physical model in the existing open source openmodelica tool. Later, I started to understand how works an orchestrator, developing a simple one: this will be useful in future to generate an orchestrator automatically.

Carbohydrate counting of food

Carbohydrate counting is a principal strategy in nutritional management of type 1 diabetes. The Nutri-Learn buffet (NLB) is a new computer-based tool for patient instruction in carbohydrate counting. It is based on food dummies made of plastic equipped with a microchip containing relevant food content data. The tool enables the dietician to assess the patient's food counting abilities and the patient to learn in a hands-on interactive manner to estimate food contents such as carbohydrate content.

A project-oriented course in probability and statistics for undergraduate electrical engineering students

An introductory course in probability and statistics for third-year and fourth-year electrical engineering students is described. The course is centered around several computer-based projects that are designed to achieve two objectives. First, the projects illustrate the course topics and provide hands-on experience for the students. The second and equally important objective of the projects is to convey the relevance and usefulness of probability and statistics to practical problems that undergraduate students can appreciate. The benefit of this course as to motivate electrical engineering students to excel in the study of probability concepts, instead of viewing the subject as one more course requirement toward graduation. The authors co-teach the course, and MATLAB is used for mast of the computer-based projects

Investigating the Role of System Justification in Mental Illness Stigma

The current study integrates system justification theory with research on mental illness stigma. Stereotypes of both low- and high-status groups in society can be a means of satisfying the system justification motive, or the motive to view societal inequalities as justified (as reviewed in Jost, Banaji, & Nosek, 2004). Corrigan, Watson, and Ottati (2003) proposed that system justification theory may be able to explain the origins of particular stereotypes of people with mental illness, such as dangerousness and incompetence. The primary goal of the present study was to investigate whether the stigmatization of people with mental illness – a specific form of stigmatization of a lowstatus group – can be at least partially attributed to a broader motive to justify societal inequalities. To test this, the current study included both an experimental manipulation of the perceived legitimacy of the social system and a measure of system-justifying beliefs. Stigmatization of individuals with mental illness was measured with both explicit selfreport measures (semantic differentials and the Attribution Questionnaire) and an implicit measure (a computer-based Implicit Association Test). The relationships between participant characteristics, such as personal experience with mental illness, and stigma were also investigated. Consistent with past research demonstrating only modest correlations between explicit and implicit stigma, greater self-reported fear toward a person with a chronic mental illness was weakly associated with increased implicit bias against mental illness in favor of physical disability. There was little support for the involvement of system justification in explicit stigma. Participants with personal experience with mental illness were less likely to self-report fear and avoidance of a person with a chronic mental illness. These findings have implications for stigmareduction efforts.

Facial affect recognition training in autism: can we animate the fusiform gyrus?

One of the most consistent findings in the neuroscience of autism is hypoactivation of the fusiform gyrus (FG) during face processing. In this study the authors examined whether successful facial affect recognition training is associated with an increased activation of the FG in autism. The effect of a computer-based program to teach facial affect identification was examined in 10 individuals with high-functioning autism. Blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) changes in the FG and other regions of interest, as well as behavioral facial affect recognition measures, were assessed pre- and posttraining. No significant activation changes in the FG were observed. Trained participants showed behavioral improvements, which were accompanied by higher BOLD fMRI signals in the superior parietal lobule and maintained activation in the right medial occipital gyrus.

EFFICIENT EVALUATION OF RANKING PROCEDURES WHEN THE NUMBER OF UNITS IS LARGE WITH APPLICATION TO SNP IDENTIFICATION

Simulation-based assessment is a popular and frequently necessary approach to evaluation of statistical procedures. Sometimes overlooked is the ability to take advantage of underlying mathematical relations and we focus on this aspect. We show how to take advantage of large-sample theory when conducting a simulation using the analysis of genomic data as a motivating example. The approach uses convergence results to provide an approximation to smaller-sample results, results that are available only by simulation. We consider evaluating and comparing a variety of ranking-based methods for identifying the most highly associated SNPs in a genome-wide association study, derive integral equation representations of the pre-posterior distribution of percentiles produced by three ranking methods, and provide examples comparing performance. These results are of interest in their own right and set the framework for a more extensive set of comparisons.

TECHNOLOGICAL ADVANCEMENT IN REMOTE SENSING AND INNOVATIVE APPLICATION TO VOLCANOLOGY

The integration of remote monitoring techniques at different scales is of crucial importance for monitoring of volcanoes and assessment of the associated hazard. In this optic, technological advancement and collaboration between research groups also play a key role. Vhub is a community cyberinfrastructure platform designed for collaboration in volcanology research. Within the Vhub framework, this dissertation focuses on two research themes, both representing novel applications of remotely sensed data in volcanology: advancement in the acquisition of topographic data via active techniques and application of passive multi-spectral satellite data to monitoring of vegetated volcanoes. Measuring surface deformation is a critical issue in analogue modelling of Earth science phenomena. I present a novel application of the Microsoft Kinect sensor to measurement of vertical and horizontal displacements in analogue models. Specifically, I quantified vertical displacement in a scaled analogue model of Nisyros volcano, Greece, simulating magmatic deflation and inflation and related surface deformation, and included the horizontal component to reconstruct 3D models of pit crater formation. The detection of active faults around volcanoes is of importance for seismic and volcanic hazard assessment, but not a simple task to be achieved using analogue models. I present new evidence of neotectonic deformation along a north-south trending fault from the Mt Shasta debris avalanche deposit (DAD), northern California. The fault was identified on an airborne LiDAR campaign of part of the region interested by the DAD and then confirmed in the field. High resolution LiDAR can be utilized also for geomorphological assessment of DADs, and I describe a size-distance analysis to document geomorphological aspects of hummock in the Shasta DAD. Relating the remote observations of volcanic passive degassing to conditions and impacts on the ground provides an increased understanding of volcanic degassing and how satellite-based monitoring can be used to inform hazard management strategies in nearreal time. Combining a variety of satellite-based spectral time series I aim to perform the first space-based assessment of the impacts of sulfur dioxide emissions from Turrialba volcano, Costa Rica, on vegetation in the surrounding environment, and establish whether vegetation indices could be used more broadly to detect volcanic unrest.

A study of acoustic emission technique for concrete damage detection

The Acoustic emission (AE) technique, as one of non-intrusive and nondestructive evaluation techniques, acquires and analyzes the signals emitting from deformation or fracture of materials/structures under service loading. The AE technique has been successfully applied in damage detection in various materials such as metal, alloy, concrete, polymers and other composite materials. In this study, the AE technique was used for detecting crack behavior within concrete specimens under mechanical and environmental frost loadings. The instrumentations of the AE system used in this study include a low-frequency AE sensor, a computer-based data acquisition device and a preamplifier linking the AE sensor and the data acquisition device. The AE system purchased from Mistras Group was used in this study. The AE technique was applied to detect damage with the following laboratory tests: the pencil lead test, the mechanical three-point single-edge notched beam bending (SEB) test, and the freeze-thaw damage test. Firstly, the pencil lead test was conducted to verify the attenuation phenomenon of AE signals through concrete materials. The value of attenuation was also quantified. Also, the obtained signals indicated that this AE system was properly setup to detect damage in concrete. Secondly, the SEB test with lab-prepared concrete beam was conducted by employing Mechanical Testing System (MTS) and AE system. The cumulative AE events and the measured loading curves, which both used the crack-tip open displacement (CTOD) as the horizontal coordinate, were plotted. It was found that the detected AE events were qualitatively correlated with the global force-displacement behavior of the specimen. The Weibull distribution was vii proposed to quantitatively describe the rupture probability density function. The linear regression analysis was conducted to calibrate the Weibull distribution parameters with detected AE signals and to predict the rupture probability as a function of CTOD for the specimen. Finally, the controlled concrete freeze-thaw cyclic tests were designed and the AE technique was planned to investigate the internal frost damage process of concrete specimens.

Index of Complexity, Outcome and Need scored on plaster and digital models

The aim of this study was to compare standard plaster models with their digital counterparts for the applicability of the Index of Complexity, Outcome, and Need (ICON). Generated study models of 30 randomly selected patients: 30 pre- (T(0)) and 30 post- (T(1)) treatment. Two examiners, calibrated in the ICON, scored the digital and plaster models. The overall ICON scores were evaluated for reliability and reproducibility using kappa statistics and reliability coefficients. The values for reliability of the total and weighted ICON scores were generally high for the T(0) sample (range 0.83-0.95) but less high for the T(1) sample (range 0.55-0.85). Differences in total ICON score between plaster and digital models resulted in mostly statistically insignificant values (P values ranging from 0.07 to 0.19), except for observer 1 in the T(1) sample. No statistically different values were found for the total ICON score on either plaster or digital models. ICON scores performed on computer-based models appear to be as accurate and reliable as ICON scores on plaster models.

Projektbericht: VITA

In traditionellen Übungsarrangements (z.B. handkorrigierte Hausaufgaben oder vorlesungsbegleitende Übungsgruppen) erhalten Studierende ihre Ergebnisse mit Zeitverzögerung, während der Kurs inzwischen fortschreitet. Dadurch besteht die Gefahr, dass Defizite nicht wahrgenommen oder nicht korrigiert werden. Traditionelle Übungsarrangements erfordern bei sinnvollem Einsatz (v. a. kleine Übungsgruppe) eine Personalkapazität, wie sie insbesondere an Fachhochschulen nicht existiert. Ein zweites Problem, das zum Teil infolge des mangelnden Übens auftritt, besteht darin, dass viele Studierende Lehrveranstaltungen nicht nachbereiten. Viele Studierende versuchen stattdessen, sich den Vorlesungsstoff in einem kurzen Zeitraum vor der Prüfung anzueignen, was, wenn es überhaupt gelingt, nicht zu einer nachhaltigen Verankerung der Inhalte führt. In der Folge fehlen in den Nachfolgeveranstaltungen die Grundlagen, die in den vorausgegangenen Veranstaltungen hätten gelegt werden sollen.

Dezentrale selbstorganisierte Grobplanung von Intralogistiksystemen mit Hilfe eines Software-Agentensystems

In diesem Beitrag wird eine dezentral aufgebaute und auf Selbstorganisation basierende Methodik zur Grobplanung von Intralogistiksystemen thematisiert. Diese Methodik sieht eine Kombination des Wissenschaftsgebiets der Agentensysteme aus der Informatik mit der Materialflussplanung vor. Dieser Artikel leistet somit einen Beitrag für die Entwicklung eines intelligenten, rechnergestützten Assistenzsystems zur Planung intralogistischer Systeme.

Incidence and treatment of developmental hip dysplasia in Mongolia: a prospective cohort study

BACKGROUND In Mongolia, adequate early diagnosis and treatment of developmental hip dysplasia (DDH) have been unavailable and its incidence was unknown. We determined the incidence of ultrasonographic DDH in newborns and established adequate procedures for diagnosis and treatment of DDH at the largest maternity hospital in Ulaanbaatar, Mongolia. METHODOLOGY/PRINCIPAL FINDINGS During one year (Sept 2010 - Aug 2011) we assessed the hips newborns using ultrasound and Graf's classification of DDH. 8,356 newborns were screened; median age at screening was 1 day. We identified 14,873 Type 1 (89.0%), 1715 Type 2a (10.3%), 36 Type 2c (0.2%), 70 Type D (0.4%), 14 Type 3 (0.08%), and 4 Type 4 hips (0.02%). Children with Type 1 hips (normal) were discharged. Children with Type 2a hips (physiologically immature) received follow-up ultrasounds at monthly intervals. Children with Type 2c to 4 (DDH; deformed or misaligned hip joint) hips were treated with a Tubingen hip flexion splint and also followed up. The hip abnormalities resolved to mature hips in all children who were followed up. There was no evidence for severe treatment related complications. CONCLUSION/SIGNIFICANCE This study suggests that the incidence of DDH in Mongolian neonates is comparable to that in neonates in Europe. Early ultrasound-based assessment and splinting treatment of DDH led to mature hips in all children followed up. Procedures are feasible and will be continued.