Revisiting Content Availability in Distributed Online Social Networks

Online Social Networks (OSN) are among the most popular applications in today's Internet. Decentralized online social networks (DOSNs), a special class of OSNs, promise better privacy and autonomy than traditional centralized OSNs. However, ensuring availability of content when the content owner is not online remains a major challenge. In this paper, we rely on the structure of the social graphs underlying DOSN for replication. In particular, we propose that friends, who are anyhow interested in the content, are used to replicate the users content. We study the availability of such natural replication schemes via both theoretical analysis as well as simulations based on data from OSN users. We find that the availability of the content increases drastically when compared to the online time of the user, e. g., by a factor of more than 2 for 90% of the users. Thus, with these simple schemes we provide a baseline for any more complicated content replication scheme.Comment: 11pages, 12 figures; Technical report at TU Berlin, Department of Electrical Engineering and Computer Science (ISSN 1436-9915

A survey of carbon nanotube interconnects for energy efficient integrated circuits

This article is a review of the state-of-art carbon nanotube interconnects for Silicon application with respect to the recent literature. Amongst all the research on carbon nanotube interconnects, those discussed here cover 1) challenges with current copper interconnects, 2) process & growth of carbon nanotube interconnects compatible with back-end-of-line integration, and 3) modeling and simulation for circuit-level benchmarking and performance prediction. The focus is on the evolution of carbon nanotube interconnects from the process, theoretical modeling, and experimental characterization to on-chip interconnect applications. We provide an overview of the current advancements on carbon nanotube interconnects and also regarding the prospects for designing energy efficient integrated circuits. Each selected category is presented in an accessible manner aiming to serve as a survey and informative cornerstone on carbon nanotube interconnects relevant to students and scientists belonging to a range of fields from physics, processing to circuit design

Investigation of Pt-salt-doped-standalone-multiwall carbon nanotubes for on-chip interconnect applications

In this paper, we investigate, by combining electrical measurements with an atomistic-to-circuit modeling approach, the conductance of doped standalone multiwall carbon nanotubes (CNTs) as a viable candidate for the next generation of back-end-of-line interconnects. Ab initio simulations predict a doping-related shift of the Fermi level, which reduces shell chirality variability and improves electrical resistivity up to 90% by converting semiconducting shells to metallic. Electrical measurements of Pt-salt-doped CNTs provide up to 50% of resistance reduction, which is a milestone result for future CNT interconnect technology. Moreover, we find that defects and contacts introduce additional resistance, which limits the efficiency of doping, and are the primary cause for the mismatch between theoretical predictions and experimental measurements on doped CNTs

Language endangerment and language documentation in Africa

Non peer reviewe

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity.

Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete description of specific immune biomarkers. We present here a comprehensive multi-omic blood atlas for patients with varying COVID-19 severity in an integrated comparison with influenza and sepsis patients versus healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity involved cells, their inflammatory mediators and networks, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism, and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Systems-based integrative analyses including tensor and matrix decomposition of all modalities revealed feature groupings linked with severity and specificity compared to influenza and sepsis. Our approach and blood atlas will support future drug development, clinical trial design, and personalized medicine approaches for COVID-19

Rheology of weakly wetted granular materials - a comparison of experimental and numerical data

Shear cell simulations and experiments of weakly wetted particles (a few volume percent liquid binders) are compared, with the goal to understand their flow rheology. Application examples are cores for metal casting by core shooting made of sand and liquid binding materials. The experiments are carried out with a Couette-like rotating viscometer. The weakly wetted granular materials are made of quartz sand and small amounts of Newtonian liquids. For comparison, experiments on dry sand are also performed with a modified configuration of the viscometer. The numerical model involves spherical, monodisperse particles with contact forces and a simple liquid bridge model for individual capillary bridges between two particles. Different liquid content and properties lead to different flow rheology when measuring the shear stress-strain relations. In the experiments of the weakly wetted granular material, the apparent shear viscosity TeX scales inversely proportional to the inertial number TeX, for all shear rates. On the contrary, in the dry case, an intermediate scaling regime inversely quadratic in TeX is observed for moderate shear rates. In the simulations, both scaling regimes are found for dry and wet granular material as well

Pitfalls in HTTP Traffic Measurements and Analysis

Abstract. Being responsible for more than half of the total traffic volume in the Internet, HTTP is a popular subject for traffic analysis. From our experiences with HTTP traffic analysis we identified a number of pitfalls which can render a carefully executed study flawed. Often these pitfalls can be avoided easily. Based on passive traffic measurements of 20.000 European residential broadband customers, we quantify the potential error of three issues: Non-consideration of persistent or pipelined HTTP requests, mismatches between the Content-Type header field and the actual content, and mismatches between the Content-Length header and the actual transmitted volume. We find that 60 % (30 %) of all HTTP requests (bytes) are persistent (i. e., not the first in a TCP connection) and 4 % are pipelined. Moreover, we observe a Content-Type mismatch for 35 % of the total HTTP volume. In terms of Content-Length accuracy our data shows a factor of at least 3.2 more bytes reported in the HTTP header than actually transferred.

Computational rheology of core-shooting materials

Shear cell simulations of the flow rheology of weakly wetted (a few volume percent liquid binders) particles are presented. The model involves spherical, poly-disperse particles with contact forces and a simple liquid bridge model, where the capillary bridges are isolated and the liquid assigned to a particle, which is assumed to be proportional to its surface, is equally distributed among all of its capillary bridges. Different liquid content and properties allows to predict the flow rheology when measuring shear strain and stress in a ring-shear cell. In this study, the focus is application in sand cores liquid binding materials