Improving Perceived Quality of Live Adaptative Video Streaming

Quality of service (QoS) requirements for live streaming are most required for video-on-demand (VoD), where they are more sensitive to variations in delay, jitter, and packet loss. Dynamic Adaptive Streaming over HTTP (DASH) is the most popular technology for live streaming and VoD, where it has been massively deployed on the Internet. DASH is an over-the-top application using unmanaged networks to distribute content with the best possible quality. Widely, it uses large reception buffers in order to keep a seamless playback for VoD applications. However, the use of large buffers in live streaming services is not allowed because of the induced delay. Hence, network congestion caused by insufficient queues could decrease the user-perceived video quality. Active Queue Management (AQM) arises as an alternative to control the congestion in a router’s queue, pressing the TCP traffic sources to reduce their transmission rate when it detects incipient congestion. As a consequence, the DASH client tends to decrease the quality of the streamed video. In this article, we evaluate the performance of recent AQM strategies for real-time adaptive video streaming and propose a new AQM algorithm using Long Short-Term Memory (LSTM) neural networks to improve the user-perceived video quality. The LSTM forecast the trend of queue delay to allow earlier packet discard in order to avoid the network congestion. The results show that the proposed method outperforms the competing AQM algorithms, mainly in scenarios where there are congested networks.     

Controlled peptide solvation in portion-mixing libraries of FRET peptides: improved specificity determination for Dengue 2 virus NS2B-NS3 protease and human cathepsin S

The solubility of peptides in aqueous buffers used for the enzyme assays is a common limitation for all peptide libraries. In principle, the more water-soluble peptides are, the more susceptible they will be to peptidase hydrolysis. We have demonstrated that this bias can be circumvented in a portion-mixing fluorescence resonance energy transfer (FRET) peptide library by introducing k (lysine in the D-form) in both termini of the peptides. This more solvated library and another one without the k were assayed using trypsin and chymotrypsin as standard peptidases with high selectivity for R and K and for hydrophobic F and Y, respectively. Significantly improved consistency of the information on substrate profiles was obtained from the solvated library. The influence of improved solvation on substrate specificity determination was successfully demonstrated by the difference in specificity observed between the two libraries employing the human cathepsin S (accepts acidic, basic, or neutral amino acids at P1 position) and Dengue 2 virus NS2B-NS3 protease (high specificity to the pair of basic amino acids K-R, R-R, or Q-R/K at P2-P1 positions). In conclusion, hydration of the peptides has a major influence on protease processing, and this bias can be reduced in bound peptide libraries, improving reliability.     

Theoretical study of the electronic structure of KCl: Pd2+ crystals

A molecular cluster model within the framework of the Multiple Scattering Method is used to obtain the electronic structure of Pd²⁺ substitutional impurity in KCl. Two local approximations for the exchange potential are used: the usual X_α approximation, and the average mass operator approximation. The theoretical results are compared with the available experimental optical absorption data.