52 research outputs found

    Privacy Friendly Apps-Making Developers Aware of Privacy Violations

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    Android devices are widely used on a daily basis. As those devices can open doors for attackers and companies to privacy sensitive data, developers have to be aware of potential risks. We introduce the project of Privacy Friendly Apps, explain its design principles and describe some of its resulted apps. The long-term goal of this project is twofold: (1) raise awareness of developers regarding potential privacy violations posed through unnecessarily overprivileged apps; (2) compile a list of common errors and mistakes that lead to unintended privacy violations

    Streikrecht aus Straßburg? Das beamtenrechtliche Streikverbot unter völkerrechtlichem Anpassungsdruck

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    Die Klausur wurde im Rahmen des Probeexamens an der Juristischen Fakultät der Humboldt-Universität zu Berlin im April 2014 gestellt. Schwerpunktmäßig werden die examensrelevanten Bezüge des Grundgesetzes zur EMRK behandelt. Die Klausur ist einer aktuellen Entscheidung des BVerwG nachgebildet (Az. 2 C 1.13), welche die neuere Rspr des EGMR zum Beamtenstreikrecht rezipiert und auf ihre Vereinbarkeit mit den hergebrachten Grundsätzen des Berufsbeamtentums nach Art. 33 V GG prüft.Peer Reviewe

    Effects of aging on the stress-induced martensitic transformation and cyclic superelastic properties in Co-Ni-Ga shape memory alloy single crystals under compression

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    Co-Ni-Ga shape memory alloys attracted scientific attention as promising candidate materials for damping applications at elevated temperatures, owing to excellent superelastic properties featuring a fully reversible stress-strain response up to temperatures as high as 500 °C. In the present work, the effect of aging treatments conducted in a wide range of aging temperatures and times, i.e. at 300–400 °C for 0.25–8.5 h, was investigated. It is shown that critical features of the martensitic transformation are strongly affected by the heat treatments. In particular, the formation of densely dispersed γ’-nanoparticles has a strong influence on the martensite variant selection and the morphology of martensite during stress-induced martensitic transformation. Relatively large, elongated particles promote irreversibility. In contrast, small spheroidal particles are associated with excellent functional stability during cyclic compression loading of 〈001〉-oriented single crystals. In addition to mechanical experiments, a detailed microstructural analysis was performed using in situ optical microscopy and neutron diffraction. Fundamental differences in microstructural evolution between various material states are documented and the relations between thermal treatment, microstructure and functional properties are explored and rationalized

    On the impact of nanometric γ’ precipitates on the tensile deformation of superelastic Co49Ni21Ga30

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    Results are presented reporting on the martensite domain variant selection and stress-induced martensite morphology in [001]-oriented superelastic Co49Ni21Ga30 shape memory alloy (SMA) single crystals under tensile load. In situ neutron diffraction, as well as in situ optical- and confocal laser scanning microscopy were conducted focusing on three differently treated samples, i.e. in the as-grown, solution-annealed and aged condition. An aging treatment performed at 350 °C promotes the precipitation of nanoprecipitates. These second phase precipitates contribute to an increase of the number of habit plane interfaces, while reducing lamellar martensite plate thickness compared to the as-grown and solution-annealed (precipitate free) samples. During tensile loading, all samples show a stress-induced formation of martensite, characterized by one single domain variant (“detwinned”) and one set of parallel habit planes in a shear band. The results clearly show that γ’ nanoprecipitates do not necessarily promote multi-variant interaction during tensile loading. Thus, reduced recoverability in Co-Ni-Ga SMAs upon aging cannot be solely attributed to this kind of interaction as has been proposed in literature so far

    Evaluation of MRI-derived radiomics features of hepatic fat as biomarkers of type 2 diabetes mellitus and the metabolic syndrome

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    Objective: To assess MRI derived radiomics features of liver fat collected from a cohort of individuals without prior cardiovascular events as imaging biomarkers of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). Material and methods: 400 participants of the KORA MRI substudy underwent comprehensive whole body MRI imaging protocols including T1-weighted dual-echo Dixon (T1-DED), T1-weighted multi-echo Dixon (T1-MED) and magnetic resonance spectroscopy (MRS) sequences. A total of 684 radiomics features were extracted on T1-DED relative fat water content (rfwc) maps of 310 artefact free manually contoured liver volumes of interest (VOI). The corresponding individuals (n = 310, T2DM 12.6 %, MetS 34.5 %) were assigned to stratified training (n = 232, 75 %) and validation (n = 78, 25 %) sets. To assess feature stability, test-retest and inter-rater variance was approximated by generating noise augmented rfwc maps and computationally deformed VOIs, respectively. Feature stability was assessed in terms of the intraclass correlation coefficient (ICC) for test-retest reliability (ICC(1,1)) and inter-rater agreement (ICC(3,k)) on training set data. Stable features (ICC ≥ 0.85) were assessed as imaging biomarkers of T2DM and MetS in random forest (RF) models. For benchmarking, RF models were trained on the participants’ hepatic proton density fat fraction (PDFF) quantified previously on the T1-MED and MRS images as well as the body mass index (BMI). All RF models were evaluated on the validation set using the area under the curve of the receiver operating characteristic (AUROC) and the balanced accuracy (AccuracyB) as performance metrics. Results: The epidemiological characteristics in training and validation sets were not statistically significantly different (p < 0.001). Furthermore, training and validation sets showed strong associations for both test-retest reliability (β 1.027 [1.015 – 1.040]) and inter-rater agreement (β 1.072 [1.040 – 1.103]). A total of 171 features (25.0 %) met the stability threshold (ICC ≥ 0.85). In subsequent RF modelling radiomics features predicted T2DM with AUROC 0.835 and AccuracyB 0.822 and MetS with AUROC 0.838 and AccuracyB 0.787, thereby outperforming all benchmark RF models in both metric categories. Conclusion: In this single-center study radiomics features of MRI-derived hepatic fat were superior biomarkers of T2DM and MetS than hepatic PDFF and the BMI. In the future, hepatic radiomics features deserve further exploration and development as potential biomarkers in metabolic disease

    Privacy Friendly Apps-Making Developers Aware of Privacy Violations

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    Android devices are widely used on a daily basis. As those devices can open doors for attackers and companies to privacy sensitive data, developers have to be aware of potential risks. We introduce the project of Privacy Friendly Apps, explain its design principles and describe some of its resulted apps. The long-term goal of this project is twofold: (1) raise awareness of developers regarding potential privacy violations posed through unnecessarily overprivileged apps; (2) compile a list of common errors and mistakes that lead to unintended privacy violations
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