Towards Gesture-based Process Modeling on Multi-Touch Devices

Contemporary tools for business process modeling use menu-based interfaces for visualizing process models and interacting with them. However, pure menu-based interactions have been optimized for applications running on desktop computers and are limited regarding their use on multi-touch devices. At the same time, the increasing distribution of mobile devices in business life as well as their multi-touch capabilities offer promising perspectives for intuitively defining and adapting business process models. Additionally, multi-touch tables could improve collaborative business process modeling based on natural gestures and interactions. In this paper we present the results of an experiment in which we investigate the way users model business processes with multi-touch devices. Furthermore, a core gesture set is suggested enabling the easy definition and adaption of business process models on these devices. Overall, gesture-based process modeling and multi-touch devices allow for new ways of (collaborative) business process modeling

Gesture-based Process Modeling Using Multi-Touch Devices

Contemporary business process modeling tools provide menu-based user in-terfaces for defining and visualizing process models. Such menu-based in-teractions have been optimized for applications running on desktop comput-ers, but are limited regarding their use on multi-touch devices. At the same time, the widespread use of mobile devices in daily business life as well as their multi-touch capabilities offer promising perspectives for intuitively de-fining and changing business process models. Additionally, multi-touch ta-bles will foster collaborative business process modeling based on natural as well as intuitive gestures and interactions. This paper presents the results of an experiment that investigated the way users define and change business process models using multi-touch devices. Based on experiment results, a core gesture set is designed enabling the easy definition and change of busi-ness process models with multi-touch devices. Finally, a proof-of-concept implementation of this core gesture set is presented. Overall, gesture-based process modeling and multi-touch devices will foster new ways of (collabo-rative) business process modeling

Konzeption und Herausgabe eines generischen Booklets über Forschungsprojekte am Beispiel von Prozessmanagement, Informationssystemen und Mobilen Applikationen

Jährlich zunehmende Veröffentlichungszahlen von wissenschaftlichen Publikationen erschweren es, den Überblick zu behalten und sich Gehör zu verschaffen. Mit einem Booklet können nun gezielt Themen aufbereitet und verbreitet werden. In dieser Arbeit wird hierzu die erste Ausgabe eines neuen Booklets im Bereich Prozessmanagement, Informationssysteme und Mobile Applikationen unter Berücksichtigung gestalterischer Gesetzmäßigkeiten und wissenschaftlicher Erkenntnisse von Grund auf konstruiert. Mithilfe eines vorlagenbasierten Workflows steht ein effizientes Werkzeug zur Verfügung, regelmäßig neue Ausgaben zu produzieren. Diese Vorlagen werden in drei Kategorien mit unterschiedlichem inhaltlichen Schwerpunkt eingeteilt: formal, technisch und medial. Sie müssen von Autoren nur noch gefüllt und an den Herausgeber geschickt werden, der sie dank des Baukastenprinzips problemlos zusammensetzen kann. Die Ergebnisse dieser Arbeit erlauben eine spätere Automatisierung sowie einen Vertrieb, sodass hier weitere Effizienzsteigerungen und Werbeeffekte zu erwarten sind

Can One Trust Quantum Simulators?

Various fundamental phenomena of strongly-correlated quantum systems such as high-$T_c$ superconductivity, the fractional quantum-Hall effect, and quark confinement are still awaiting a universally accepted explanation. The main obstacle is the computational complexity of solving even the most simplified theoretical models that are designed to capture the relevant quantum correlations of the many-body system of interest. In his seminal 1982 paper [Int. J. Theor. Phys. 21, 467], Richard Feynman suggested that such models might be solved by "simulation" with a new type of computer whose constituent parts are effectively governed by a desired quantum many-body dynamics. Measurements on this engineered machine, now known as a "quantum simulator," would reveal some unknown or difficult to compute properties of a model of interest. We argue that a useful quantum simulator must satisfy four conditions: relevance, controllability, reliability, and efficiency. We review the current state of the art of digital and analog quantum simulators. Whereas so far the majority of the focus, both theoretically and experimentally, has been on controllability of relevant models, we emphasize here the need for a careful analysis of reliability and efficiency in the presence of imperfections. We discuss how disorder and noise can impact these conditions, and illustrate our concerns with novel numerical simulations of a paradigmatic example: a disordered quantum spin chain governed by the Ising model in a transverse magnetic field. We find that disorder can decrease the reliability of an analog quantum simulator of this model, although large errors in local observables are introduced only for strong levels of disorder. We conclude that the answer to the question "Can we trust quantum simulators?" is... to some extent.Comment: 20 pages. Minor changes with respect to version 2 (some additional explanations, added references...

Replication Fork Polarity Gradients Revealed by Megabase-Sized U-Shaped Replication Timing Domains in Human Cell Lines

In higher eukaryotes, replication program specification in different cell types remains to be fully understood. We show for seven human cell lines that about half of the genome is divided in domains that display a characteristic U-shaped replication timing profile with early initiation zones at borders and late replication at centers. Significant overlap is observed between U-domains of different cell lines and also with germline replication domains exhibiting a N-shaped nucleotide compositional skew. From the demonstration that the average fork polarity is directly reflected by both the compositional skew and the derivative of the replication timing profile, we argue that the fact that this derivative displays a N-shape in U-domains sustains the existence of large-scale gradients of replication fork polarity in somatic and germline cells. Analysis of chromatin interaction (Hi-C) and chromatin marker data reveals that U-domains correspond to high-order chromatin structural units. We discuss possible models for replication origin activation within U/N-domains. The compartmentalization of the genome into replication U/N-domains provides new insights on the organization of the replication program in the human genome

Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery

We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural network. Our model significantly expedites the generation of satellite imagery-based flood maps, crucial for first responders and local authorities in the early stages of flood events. By incorporating multitemporal satellite imagery, our model allows for rapid and accurate post-disaster damage assessment and can be used by governments to better coordinate medium- and long-term financial assistance programs for affected areas. The network consists of multiple streams of encoder-decoder architectures that extract spatiotemporal information from medium-resolution images and spatial information from high-resolution images before fusing the resulting representations into a single medium-resolution segmentation map of flooded buildings. We compare our model to state-of-the-art methods for building footprint segmentation as well as to alternative fusion approaches for the segmentation of flooded buildings and find that our model performs best on both tasks. We also demonstrate that our model produces highly accurate segmentation maps of flooded buildings using only publicly available medium-resolution data instead of significantly more detailed but sparsely available very high-resolution data. We release the first open-source dataset of fully preprocessed and labeled multiresolution, multispectral, and multitemporal satellite images of disaster sites along with our source code

DataSheet_1_CD9- and CD81-positive extracellular vesicles provide a marker to monitor glioblastoma cell response to photon-based and proton-based radiotherapy.docx

Glioblastoma multiforme (GBM) is the most aggressive tumor of the central nervous system with a poor prognosis. In the treatment of GBM tumors, radiotherapy plays a major role. Typically, GBM tumors cannot be cured by irradiation because of intrinsic resistance machanisms. An escalation of the irradiation dose in the GBM tumor is difficult due to the high risk of severe side effects in the brain. In the last decade, the development of new irradiation techniques, including proton-based irradiation, promised new chances in the treatment of brain tumors. In contrast to conventional radiotherapy, irradiation with protons allows a dosimetrically more confined dose deposition in the tumor while better sparing the normal tissue surrounding the tumor. A systematic comparison of both irradiation techniques on glioblastoma cells has not been performed so far. Despite the improvements in radiotherapy, it remains challenging to predict the therapeutical response of GBM tumors. Recent publications suggest extracellular vesicles (EVs) as promising markers predicting tumor response. Being part of an ancient intercellular communication system, virtually all cells release specifically composed EVs. The assembly of EVs varies between cell types and depends on environmental parameters. Here, we compared the impact of photon-based with proton-based radiotherapy on cell viability and phenotype of four different glioblastoma cell lines. Furthermore, we characterized EVs released by different glioblastoma cells and correlated released EVs with the cellular response to radiotherapy. Our results demonstrated that glioblastoma cells reacted more sensitive to irradiation with protons than photons, while radiation-induced cell death 72 h after single dose irradiation was independent of the irradiation modality. Moreover, we detected CD9 and CD81-positive EVs in the supernatant of all glioblastoma cells, although at different concentrations. The amount of released CD9 and CD81-positive EVs increased after irradiation when cells became apoptotic. Although secreted EVs of non-irradiated cells were not predictive for radiosensitivity, their increased EV release after irradiation correlated with the cytotoxic response to radiotherapy 72 h after irradiation. Thus, our data suggest a novel application of EVs in the surveillance of anti-cancer therapies.</p