A Quantitative Model for Using Open Innovation in Mobile Service Development

The potential of mobile service innovations to create valuable economic impact makes their development desirable for companies. To develop and launch successful mobile services, the integration of customers in the idea generation process bears high potential. However, such Open Innovation activities usually demand for investments, whereas the precise relation between the money invested and the generated economic effect is still indistinct. The objective of this paper is to replace the black box between investments in Open Innovation and the thereby generated profits through formal-deductive analysis. For this purpose, we analyze the effect chain between Open Innovation and economic profit by adapting the model of Kano and putting special emphasis on the specifics of mobile services. Building on that, we develop a quantitative formal model to determine the optimal investment amount in Open Innovation activities for mobile services. The model’s utility is illustrated with an example based on real-world data

How to Develop a GDPR-Compliant Blockchain Solution for Cross-Organizational Workflow Management: Evidence from the German Asylum Procedure

Blockchain technology has the potential to resolve trust concerns in cross-organizational workflows and to reduce reliance on paper-based documents as trust anchors. Although these prospects are real, so is regulatory uncertainty. In particular, the reconciliation of blockchain with Europe’s General Data Protection Regulation (GDPR) is proving to be a significant challenge. We tackled this challenge with the German Federal Office for Migration and Refugees. Here, we explain how we used Action Research to guide the Federal Office in creating a GDPR-compliant blockchain solution for the German asylum procedure. Moreover, we explain the architecture of the Federal Office’s solution and present two design principles for developing GDPR-compliant blockchain solutions for cross-organizational workflow management

Distinct Genomic Features Characterize Two Clades of <i>Corynebacterium diphtheriae</i>: Proposal of <i>Corynebacterium diphtheriae</i> Subsp. <i>diphtheriae</i> Subsp. nov. and <i>Corynebacterium diphtheriae</i> Subsp. <i>lausannense</i> Subsp. nov.

&lt;i&gt;Corynebacterium diphtheriae&lt;/i&gt; is the etiological agent of diphtheria, a disease caused by the presence of the diphtheria toxin. However, an increasing number of records report non-toxigenic &lt;i&gt;C. diphtheriae&lt;/i&gt; infections. Here, a &lt;i&gt;C. diphtheriae&lt;/i&gt; strain was recovered from a patient with a past history of bronchiectasis who developed a severe tracheo-bronchitis with multiple whitish lesions of the distal trachea and the mainstem bronchi. Whole-genome sequencing (WGS), performed in parallel with PCR targeting the toxin gene and the Elek test, provided clinically relevant results in a short turnaround time, showing that the isolate was non-toxigenic. A comparative genomic analysis of the new strain (CHUV2995) with 56 other publicly available genomes of &lt;i&gt;C. diphtheriae&lt;/i&gt; revealed that the strains CHUV2995, CCUG 5865 and CMCNS703 share a lower average nucleotide identity (ANI) (95.24 to 95.39%) with the &lt;i&gt;C. diphtheriae&lt;/i&gt; NCTC 11397 &lt;sup&gt;T&lt;/sup&gt; reference genome than all other &lt;i&gt;C. diphtheriae&lt;/i&gt; genomes (&gt;98.15%). Core genome phylogeny confirmed the presence of two monophyletic clades. Based on these findings, we propose here two new &lt;i&gt;C. diphtheriae&lt;/i&gt; subspecies to replace the lineage denomination used in previous multilocus sequence typing studies: &lt;i&gt;C. diphtheriae&lt;/i&gt; subsp. &lt;i&gt;lausannense&lt;/i&gt; subsp. nov. (instead of lineage-2), regrouping strains CHUV2995, CCUG 5865, and CMCNS703, and &lt;i&gt;C. diphtheriae&lt;/i&gt; subsp. &lt;i&gt;diphtheriae&lt;/i&gt; subsp. nov, regrouping all other &lt;i&gt;C. diphtheriae&lt;/i&gt; in the dataset (instead of lineage-1). Interestingly, members of subspecies &lt;i&gt;lausannense&lt;/i&gt; displayed a larger genome size than subspecies &lt;i&gt;diphtheriae&lt;/i&gt; and were enriched in COG categories related to transport and metabolism of lipids (I) and inorganic ion (P). Conversely, they lacked all genes involved in the synthesis of pili (SpaA-type, SpaD-type and SpaH-type), molybdenum cofactor and of the nitrate reductase. Finally, the CHUV2995 genome is particularly enriched in mobility genes and harbors several prophages. The genome encodes a type II-C CRISPR-Cas locus with 2 spacers that lacks &lt;i&gt;csn2&lt;/i&gt; or &lt;i&gt;cas4&lt;/i&gt; , which could hamper the acquisition of new spacers and render strain CHUV2995 more susceptible to bacteriophage infections and gene acquisition through various mechanisms of horizontal gene transfer

Optimisation énergétique du centre scolaire de Gravelone

Le but de ce projet est d’évaluer la performance énergétique du complexe scolaire de Gravelone (Sion, VS), de déterminer les économies d’énergies réalisables sur l’enveloppe du bâtiment et sur les installations de production de chaleur et d’électricité afin de proposer un panel de stratégie de modernisation et d’aides à la décision pour le propriétaire

Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study

Purpose To investigate the potential of texture analysis and machine learning to predict treatment response to transarterial radioembolization (TARE) on pre-interventional cone-beam computed tomography (CBCT) images in patients with liver metastases. Materials and Methods In this IRB-approved retrospective single-center study 36 patients with a total of 104 liver metastases (56 % male, mean age 61.1 ± 13 years) underwent CBCT prior to TARE and follow-up imaging 6 months after therapy. Treatment response was evaluated according to RECIST version 1.1 and dichotomized into disease control (partial response/stable disease) versus disease progression (progressive disease). After target lesion segmentation, 104 radiomics features corresponding to seven different feature classes were extracted with the pyRadiomics package. After dimension reduction machine learning classifications were performed on a custom artificial neural network (ANN). Ten-fold cross validation on a previously unseen test data set was performed. Results The average administered cumulative activity from TARE was 1.6 Gbq (± 0.5 Gbq). At a mean follow-up of 5.9 ± 0.8 months disease control was achieved in 82 % of metastases. After dimension reduction, 15 of 104 (15 %) texture analysis features remained for further analysis. On a previously unseen set of liver metastases the Multilayer Perceptron ANN yielded a sensitivity of 94.2 %, specificity of 67.7 % and an area-under-the receiver operating characteristics curve of 0.85. Conclusion Our study indicates that texture analysis-based machine learning may has potential to predict treatment response to TARE using pre-treatment CBCT images of patients with liver metastases with high accuracy

Predator-induced defences in Daphnia pulex: Selection and evaluation of internal reference genes for gene expression studies with real-time PCR

<p>Abstract</p> <p>Background</p> <p>The planktonic microcrustacean <it>Daphnia pulex </it>is among the best-studied animals in ecological, toxicological and evolutionary research. One aspect that has sustained interest in the study system is the ability of <it>D. pulex </it>to develop inducible defence structures when exposed to predators, such as the phantom midge larvae <it>Chaoborus</it>. The available draft genome sequence for <it>D. pulex </it>is accelerating research to identify genes that confer plastic phenotypes that are regularly cued by environmental stimuli. Yet for quantifying gene expression levels, no experimentally validated set of internal control genes exists for the accurate normalization of qRT-PCR data.</p> <p>Results</p> <p>In this study, we tested six candidate reference genes for normalizing transcription levels of <it>D. pulex </it>genes; alpha tubulin (aTub), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), TATA box binding protein (Tbp) syntaxin 16 (Stx16), X-box binding protein 1 (Xbp1) and CAPON, a protein associated with the neuronal nitric oxide synthase, were selected on the basis of an earlier study and from microarray studies. One additional gene, a matrix metalloproteinase (MMP), was tested to validate its transcriptional response to <it>Chaoborus</it>, which was earlier observed in a microarray study. The transcription profiles of these seven genes were assessed by qRT-PCR from RNA of juvenile <it>D. pulex </it>that showed induced defences in comparison to untreated control animals. We tested the individual suitability of genes for expression normalization using the programs geNorm, NormFinder and BestKeeper. Intriguingly, Xbp1, Tbp, CAPON and Stx16 were selected as ideal reference genes. Analyses on the relative expression level using the software REST showed that both classical housekeeping candidate genes (aTub and GAPDH) were significantly downregulated, whereas the MMP gene was shown to be significantly upregulated, as predicted. aTub is a particularly ill suited reference gene because five copies are found in the <it>D. pulex </it>genome sequence. When applying aTub for expression normalization Xbp1 and Tbp are falsely reported as significantly upregulated.</p> <p>Conclusions</p> <p>Our results suggest that the genes Xbp1, Tbp, CAPON and Stx16 are suitable reference genes for accurate normalization in qRT-PCR studies using <it>Chaoborus</it>-induced <it>D. pulex </it>specimens. Furthermore, our study underscores the importance of verifying the expression stability of putative reference genes for normalization of expression levels.</p

Challenges and Opportunities of Blockchain-based Platformization of Digital Identities in the Public Sector

Digitalization promises unprecedented opportunities for public sector institutions to increase efficiency of current and to introduce new services. One of these opportunities are unique digital identities which could improve migration and refugee management, simplify distribution of social services, and improve healthcare systems. A major challenge, however, to the adoption of such digital identities is finding a suitable technological basis. Blockchain might be such a technology. The challenges of introducing blockchain-based digital identities, however, are both significant and fuzzy. To provide guidance on how to overcome these challenges, we provide a detailed exploration of blockchain-based platformization of digital identities and discuss interview insights from refugee and migration management in Germany. We find that blockchain offers promising solutions for unique digital identity management. Likewise, we find that implementation in the public sector would entail a range of organizational and technological challenges. Successful adoption, on the other hand, might ultimately pave the way for decentral and efficient e-government services

The European Added Value of EU Spending: Can the EU Help its Member States to Save Money? Exploratory Study

Critical public debt levels have forced EU member states to pursue fiscal consolidation. Yet, there is a flip side to the austerity policies being administered to overcome the sovereign debt crisis. Cut backs in social transfers and public service delivery erode the social welfare architecture of the European economic model. Growing social insecurity, in turn, challenges European integration. Ever declining popular approval rates for the EU speak for themselves. In addition, the scaling back of public investments seems not to be an option either. This only further strangles what is left as potential for growth

Supporting communication and cooperation in the asylum procedure with Blockchain technology : A proof of concept by the Federal Office for Migration and Refugees

The proof of concept showed that the use of Blockchain technology could support cross-organisational communication and cooperation in the asylum procedure. In addition, Blockchain could provide an important foundation for the establishment of digital identities and allow an asylum seeker’s procedure to be tracked based on this identity. Admittedly, not all applicable data protection regulations were fully implemented in the proof of concept. However, the findings gained as part of the project provide a promising basis for the development of a Blockchain-based solution for the asylum procedure that complies with data protection requirements. Moreover, the developed concept could scale beyond Germany’s borders. Blockchain-based, transnational management of asylum procedures could therefore become a joint project of the European member states to strengthen cooperation while safeguarding federal structures. This means that Blockchain technology could be the start of digital federalism in Europe (including the asylum procedure)