70 research outputs found
Mining for User-Defined Categorizations as an Approach for Process Simplification in Business Process Discovery
Business process discovery approaches analyse event logs to create process models describing the as-is state of the underlying processes. Because this type of process mining is especially relevant for low structured processes, there are approaches designed to deal with such processes by simplifying the resulting model. Such simplifications are primarily applied with metrics based on the frequency of observed behaviour. However, a high frequency of certain behaviour is not synonymous with a high relevance to the user. Consequently, this paper applies a design science research approach to design and implement a business process discovery approach based on user-defined categories to guarantee relevance to the respective user. During one design science research cycle, a design theory consisting of design requirements and design principles is constructed, a method called categorization approach is created, and this method implemented in a software artefact is evaluated with regard to perceived usefulness in an expert survey
Conceptualization and Design of a Workflow Management System Front End for Augmented Reality Headsets
A currently discussed approach to increase efficiency during task execution, inter alia to reduce error rates and execution times, is the utilization of headset-based augmented reality systems (HARS). Additional to direct task support, HARSes can offer workflow management and control functions. However, these are only covered very limitedly by existing design-oriented approaches. Thus, users have to resort to additional devices, decreasing efficiency, and usability. Based on a three-step systematic literature analysis and two focus groups, we present a novel tentative design theory for HARSes supporting the full range of workflow management and control functions. Our design theory consists of four design requirements and nine design principles and is the basis for a software artifact prototype. Both our tentative design theory and software artifact are formatively evaluated by a third focus group. Our contributions add to the prescriptive knowledge base of the community and may be adapted by researchers and practitioners
Use of online learning for continuing professional education and development by german audit companies
This paper presents results of an empirical research project on the status of Online Learning from the Perspective of German Audit Companies (Big4 and Next10). The theoretical basis links elements of knowledge management and professional service firms (cf. Kühnel, 2002; Farkas – Kühnel, 2016). Results are based on interviews performed by the authors and representatives of the firms. Conclusions on the future structure of Continuing Professional Education or Development initiatives may be drawn from the study
How Employees Learn Information Security Policy Compliance Behavior: Toward a Social Learning Perspective
Information security attacks typically exploit the weakest link in the chain, which is in most cases is the IT end user at the workplace. While great strides have been made in understanding and explaining information security behavior, little is known about how such behavior is acquired by individuals in the first place. This research approaches the phenomenon through the lens of social learning theory. We argue that a new employee\u27s behavior is initially learned through differential associations within the social network, rather than through knowledge of formal policies and associated sanctions. We used a scenario-based experimental approach and collected data from new employees with five years or less of work experience. Our results show that employee’s behavior changes over time. Reinforcement through sanctions becomes more important in the maintenance phase, while imitation of others becomes less relevant
Structural and functional characterization of the two phosphoinositide binding sites of PROPPINs.
β-propellers that bind polyphosphoinositides (PROPPINs), a eukaryotic WD-40 motif-containing protein family, bind via their predicted β-propeller fold the polyphosphoinositides PtdIns3P and PtdIns(3,5)P2 using a conserved FRRG motif. PROPPINs play a key role in macroautophagy in addition to other functions. We present the 3.0-Å crystal structure of Kluyveromyces lactis Hsv2, which shares significant sequence homologies with its three Saccharomyces cerevisiae homologs Atg18, Atg21, and Hsv2. It adopts a seven-bladed β-propeller fold with a rare nonvelcro propeller closure. Remarkably, in the crystal structure, the two arginines of the FRRG motif are part of two distinct basic pockets formed by a set of highly conserved residues. In comprehensive in vivo and in vitro studies of ScAtg18 and ScHsv2, we define within the two pockets a set of conserved residues essential for normal membrane association, phosphoinositide binding, and biological activities. Our experiments show that PROPPINs contain two individual phosphoinositide binding sites. Based on docking studies, we propose a model for phosphoinositide binding of PROPPINs
Systemic therapy of necrobiotic xanthogranuloma: a systematic review
Background
Even though a plethora of systemic therapies have been proposed for necrobiotic xanthogranuloma (NXG), there is no systematic review on this topic in literature.
Objective
To review all existing literature on the systemic therapy of NXG in order to identify the most effective therapies.
Methods
All reported papers in the literature were screened for systemic treatments of NXG. Papers without proper description of the therapies, papers describing topical therapy, and articles without assessment of effectiveness were excluded. Subsequently, we analyzed 79 papers and a total of 175 cases.
Results
The most effective treatments for NXG are intravenous immunoglobulins (IVIG), corticosteroids, and combination therapies including corticosteroids.
Conclusions
Corticosteroids and IVIG should therefore be considered first-line treatments in patients with NXG
Ice platelets below Weddell Sea landfast sea ice
Basal melt of ice shelves may lead to an accumulation of disc-shaped ice platelets
underneath nearby sea ice, to form a sub-ice platelet layer. Here we present the seasonal cycle of sea
ice attached to the Ekström Ice Shelf, Antarctica, and the underlying platelet layer in 2012. Ice platelets
emerged from the cavity and interacted with the fast-ice cover of Atka Bay as early as June. Episodic
accumulations throughout winter and spring led to an average platelet-layer thickness of 4m by
December 2012, with local maxima of up to 10 m. The additional buoyancy partly prevented surface
flooding and snow-ice formation, despite a thick snow cover. Subsequent thinning of the platelet layer
from December onwards was associated with an inflow of warm surface water. The combination of
model studies with observed fast-ice thickness revealed an average ice-volume fraction in the platelet
layer of 0.25+-0.1. We found that nearly half of the combined solid sea-ice and ice-platelet volume in
this area is generated by heat transfer to the ocean rather than to the atmosphere. The total ice-platelet
volume underlying Atka Bay fast ice was equivalent to more than one-fifth of the annual basal melt
volume under the Ekström Ice Shelf
FLOHOF 2007: an overview of the mesoscale meteorological field campaign at Hofsjökull, Central Iceland
DASC-PM v1.0 : ein Vorgehensmodell für Data-Science-Projekte
Das Thema Data Science hat in den letzten Jahren in vielen Organisationen stark an Aufmerksamkeit gewonnen. Häufig herrscht jedoch weiterhin große Unklarheit darüber, wie diese Disziplin von anderen abzugrenzen ist, welche Besonderheiten der Ablauf eines Data-Science-Projekts besitzt und welche Kompetenzen vorhanden sein müssen, um ein solches Projekt durchzuführen. In der Hoffnung, einen kleinen Beitrag zur Beseitigung dieser Unklarheiten leisten zu können, haben wir von April 2019 bis Februar 2020 in einer offenen und virtuellen Arbeitsgruppe mit Vertretern aus Theorie und Praxis das vorliegende Dokument erarbeitet, in dem ein Vorgehensmodell für Data-Science-Projekte beschrieben wird – das Data Science Process Model (DASC-PM). Ziel war es dabei nicht, neue Herangehensweisen zu entwickeln, sondern viel-mehr, vorhandenes Wissen zusammenzutragen und in geeigneter Form zu strukturieren. Die Ausarbeitung ist als Zusammenführung der Erfahrung sämtlicher Teilnehmerinnen und Teilnehmer dieser Arbeitsgruppe zu verstehen
Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels.
Elevated serum urate levels cause gout and correlate with cardiometabolic diseases via poorly understood mechanisms. We performed a trans-ancestry genome-wide association study of serum urate in 457,690 individuals, identifying 183 loci (147 previously unknown) that improve the prediction of gout in an independent cohort of 334,880 individuals. Serum urate showed significant genetic correlations with many cardiometabolic traits, with genetic causality analyses supporting a substantial role for pleiotropy. Enrichment analysis, fine-mapping of urate-associated loci and colocalization with gene expression in 47 tissues implicated the kidney and liver as the main target organs and prioritized potentially causal genes and variants, including the transcriptional master regulators in the liver and kidney, HNF1A and HNF4A. Experimental validation showed that HNF4A transactivated the promoter of ABCG2, encoding a major urate transporter, in kidney cells, and that HNF4A p.Thr139Ile is a functional variant. Transcriptional coregulation within and across organs may be a general mechanism underlying the observed pleiotropy between urate and cardiometabolic traits.The Genotype-Tissue Expression (GTEx) Project was supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS. Variant annotation was supported by software resources provided via the Caché Campus program of the InterSystems GmbH to Alexander Teumer
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