MTP: A Movie Transmission Protocol for Multimedia Applications

Typical color video adapters of today's PCs and workstationsuse 8 bits per pixel as an index into the color lookup table (CLUT). Full color pictures and movies have to be reduced to 256 colors. In order to avoid false colors between two frames of a digital movie, a novel technique for computing the CLUT's is proposed: A subset of the CLUT entries is reserved for new colors of the next frame. The paper presents an algorithm for the gradual adaption of the color lookup table during the transmission of a movie. First experience is reported in the framework of the XMovie project

Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients

BACKGROUND: The SARS-CoV-2 pandemic is currently leading to increasing numbers of COVID-19 patients all over the world. Clinical presentations range from asymptomatic, mild respiratory tract infection, to severe cases with acute respiratory distress syndrome, respiratory failure, and death. Reports on a dysregulated immune system in the severe cases call for a better characterization and understanding of the changes in the immune system. METHODS: In order to dissect COVID-19-driven immune host responses, we performed RNA-seq of whole blood cell transcriptomes and granulocyte preparations from mild and severe COVID-19 patients and analyzed the data using a combination of conventional and data-driven co-expression analysis. Additionally, publicly available data was used to show the distinction from COVID-19 to other diseases. Reverse drug target prediction was used to identify known or novel drug candidates based on finding from data-driven findings. RESULTS: Here, we profiled whole blood transcriptomes of 39 COVID-19 patients and 10 control donors enabling a data-driven stratification based on molecular phenotype. Neutrophil activation-associated signatures were prominently enriched in severe patient groups, which was corroborated in whole blood transcriptomes from an independent second cohort of 30 as well as in granulocyte samples from a third cohort of 16 COVID-19 patients (44 samples). Comparison of COVID-19 blood transcriptomes with those of a collection of over 3100 samples derived from 12 different viral infections, inflammatory diseases, and independent control samples revealed highly specific transcriptome signatures for COVID-19. Further, stratified transcriptomes predicted patient subgroup-specific drug candidates targeting the dysregulated systemic immune response of the host. CONCLUSIONS: Our study provides novel insights in the distinct molecular subgroups or phenotypes that are not simply explained by clinical parameters. We show that whole blood transcriptomes are extremely informative for COVID-19 since they capture granulocytes which are major drivers of disease severity

Dynamic layouts for wireless ATM

In this paper we present a new model able to combine quality of service (QoS) and mobility aspects in wireless ATM networks. Namely, besides the standard parameters of the basic ATM layouts, we introduce a new one, that estimates the time needed to reconstruct the virtual channel of a wireless user when it moves through the network. QoS guarantee dictates that the rerouting phase must be imperceptible. Therefore, a natural combinatorial problem arises in which suitable trade-offs must be determined between the different performance measures. We first show that deciding the existence of a layout with maximum hop count h, load 1 and distance d is NP-complete, even in the very restricted case h = 2, 1 = 1 and d = 1. We then provide optimal layout constructions for basic interconnection networks, such as chains and rings