FastDVDnet: Towards Real-Time Video Denoising Without Explicit Motion Estimation

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Until recently, video denoising with neural networks had been a largely under explored domain, and existing methods could not compete with the performance of the best patch-based methods. The approach we introduce in this paper, called FastDVDnet, shows similar or better performance than other state-of-the-art competitors with significantly lower computing times. In contrast to other existing neural network denoisers, our algorithm exhibits several desirable properties such as fast run-times, and the ability to handle a wide range of noise levels with a single network model. The characteristics of its architecture make it possible to avoid using a costly motion compensation stage while achieving excellent performance. The combination between its denoising performance and lower computational load makes this algorithm attractive for practical denoising applications. We compare our method with different state-of-art algorithms, both visually and with respect to objective quality metrics

DVDnet: A Fast Network for Deep Video Denoising

In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture. Previous neural network based approaches to video denoising have been unsuccessful as their performance cannot compete with the performance of patch-based methods. However, our approach outperforms other patch-based competitors with significantly lower computing times. In contrast to other existing neural network denoisers, our algorithm exhibits several desirable properties such as a small memory footprint, and the ability to handle a wide range of noise levels with a single network model. The combination between its denoising performance and lower computational load makes this algorithm attractive for practical denoising applications. We compare our method with different state-of-art algorithms, both visually and with respect to objective quality metrics. The experiments show that our algorithm compares favorably to other state-of-art methods. Video examples, code and models are publicly available at \url{https://github.com/m-tassano/dvdnet}

The tax-inducible actin-bundling protein fascin is crucial for release and cell-to-cell transmission of human T-cell leukemia virus type 1 (HTLV-1)

The delta-retrovirus Human T-cell leukemia virus type 1 (HTLV-1) preferentially infects CD4(+) T-cells via cell-to-cell transmission. Viruses are transmitted by polarized budding and by transfer of viral biofilms at the virological synapse (VS). Formation of the VS requires the viral Tax protein and polarization of the host cytoskeleton, however, molecular mechanisms of HTLV-1 cell-to-cell transmission remain incompletely understood. Recently, we could show Tax-dependent upregulation of the actin-bundling protein Fascin (FSCN-1) in HTLV-1-infected T-cells. Here, we report that Fascin contributes to HTLV-1 transmission. Using single-cycle replication-dependent HTLV-1 reporter vectors, we found that repression of endogenous Fascin by short hairpin RNAs and by Fascin-specific nanobodies impaired gag p19 release and cell-to-cell transmission in 293T cells. In Jurkat T-cells, Tax-induced Fascin expression enhanced virus release and Fascin-dependently augmented cell-to-cell transmission to Raji/CD4(+) B-cells. Repression of Fascin in HTLV-1-infected T-cells diminished virus release and gag p19 transfer to co-cultured T-cells. Spotting the mechanism, flow cytometry and automatic image analysis showed that Tax-induced T-cell conjugate formation occurred Fascin-independently. However, adhesion of HTLV-1-infected MT-2 cells in co-culture with Jurkat T-cells was reduced upon knockdown of Fascin, suggesting that Fascin contributes to dissemination of infected T-cells. Imaging of chronically infected MS9 T-cells in co-culture with Jurkat T-cells revealed that Fascin's localization at tight cell-cell contacts is accompanied by gag polarization suggesting that Fascin directly affects the distribution of gag to budding sites, and therefore, indirectly viral transmission. In detail, we found gag clusters that are interspersed with Fascin clusters, suggesting that Fascin makes room for gag in viral biofilms. Moreover, we observed short, Fascin-containing membrane extensions surrounding gag clusters and clutching uninfected T-cells. Finally, we detected Fascin and gag in long-distance cellular protrusions. Taken together, we show for the first time that HTLV-1 usurps the host cell factor Fascin to foster virus release and cell-to-cell transmission

Reinforcement learning estimates muscle activations

A digital twin of the human neuromuscular system can substantially improve the prediction of injury risks and the evaluation of the readiness to return to sport. Reinforcement learning (RL) algorithms already learn physical quantities unmeasurable in biomechanics, and hence can contribute to the development of the digital twin. Our preliminary results confirm the potential of RL algorithms to estimate the muscle activations of an athlete’s moves.Ein digitaler Zwilling des menschlichen neuromuskulären Systems kann die Vorhersage von Verletzungsrisiken und die Bewertung der Bereitschaft zur Rückkehr in den Sport erheblich verbessern. Algorithmen des bestärkenden Lernens (Reinforcement Learning, RL) lernen bereits physikalische Größen, die in der Biomechanik nicht messbar sind, und können daher zur Entwicklung des digitalen Zwillings beitragen. Unsere vorläufigen Ergebnisse bestätigen das Potenzial von RL-Algorithmen zur Schätzung der Muskelaktivierung bei den Bewegungen eines Sportlers

Was bedeutet "Spiritualität" im Jugendalter? Erkenntnisse zu Aspekten subjektiver Anthropologie und Theologie von Jugendlichen aus religionspsychologischer Perspektive

Streib H. Was bedeutet "Spiritualität" im Jugendalter? Erkenntnisse zu Aspekten subjektiver Anthropologie und Theologie von Jugendlichen aus religionspsychologischer Perspektive. In: Dieterich V-J, Rothgangel M, Schlag T, eds. "Dann müsste ja in uns allen ein Stück Paradies stecken" : Anthropologie und Jugendtheologie. Jahrbuch für Jugendtheologie. Vol 3. Calw: Calwer Verlag; 2014: 82-91

IT Shared Service Center and External Market Activities

In the last few years many corporate groups reorganized their IT-Services and established IT Shared Service Centers (IT SSC). These IT SSCs primarily delivered IT services internally; nevertheless some IT SSC provided IT services to external customers as well. These external market activities failed in most cases. In spite of the relevance to organizations, little research has been done investigating the reasons for such failures. In order to address this issue, we have conducted a qualitative study with eight IT SSC cases and five experts interviews. We have triangulated the results between the case studies and the expert interviews and we have identified two set of factors, one explaining IT SCC successes in internal markets and the other explaining IT SSC failures in external markets. The enabling factors for the successes of IT SSCs in internal markets include having the same corporate culture, knowledge of the parent organization and its processes, lower transactions cost, lower average cost, no dependence on external IT service providers, better data protection, improved IT opportunities and obligation to provide services. The factors explaining external market failures include the lack of experience with acquisition, no professional sales and marketing, lack of investment funds, weak unique features of IT services, reassessment of strategic group portfolio by the parent company, higher IT service costs, and inconsistent business models. These findings are relevant to managers of IT SSCs to make decisions on their corporate strategy, as well as to researchers to utilize these findings as a starting point for future research on IT SSCs

Calculation of ankle and knee joint moments during ACL-injury situations in soccer

AbstractThe basis of ACL-injury prevention is the understanding of the injury mechanism. Therefore a new approach was developed and validated that enables the calculation of knee and ankle joint moments during the injury. Detailed analysis of ACL-injury situations was performed to detect the kinematics as input data for a simplified 3D-human body model. An inverse-dynamics approach was used to realize the movement. The model was driven by Net-Muscle-Torque-Motors that calculate 3-D ankle and knee joint moments. Although there are some limitations that have to be considered this approach has the potential to generate a better understanding of injury mechanisms

On modelling effects in the battery and thermal storage scheduling problem

The growing use of intermittent renewable energy sources requires an increased amount of storage capacity to match uncertain generation with uncertain demand. A possible solution is the use of thermal and electrical storages. This paper compares several model formulations: mixed integer linear programs (MILPs), nonlinear programs (NLPs), mixed integer nonlinear programs (MINLPs) for optimizing the operation of a multi-modal home energy system comprising heating and electricity subsystems. The respective optimization problems are then resolved within a model predictive control scheme and the final solutions are compared in terms of runtime and optimality. The results indicate that a thermocline-based thermal storage model leads to the overall lowest costs while not significantly impeding computing times. Additionally, the results show that a continuous heat pump model leads to reduced computing times without affecting the modelling accuracy