3GPP QoS Model for Networks Using 3GPP QoS Classes

This draft describes an NSIS QoS Model (QOSM) based on 3GPP QoS classes and bearer service attributes. Specifically, this draftdescribes additional optional parameters for QSPEC which carries 3GPP QOSM specific information and how the QSPEC information should be processed in QNEs.\u

Resource Management in Diffserv On DemAnd (RODA) PHR

The purpose of this draft is to present the Resource Management in Diffserv (RMD) On DemAnd (RODA) Per Hop Reservation (PHR) protocol. The RODA PHR protocol is used on a per-hop basis in a Differentiated Services (Diffserv) domain and extends the Diffserv Per Hop Behavior (PHB) with resource provisioning and control

Novel drug-target interactions via link prediction and network embedding

BACKGROUND: As many interactions between the chemical and genomic space remain undiscovered, computational methods able to identify potential drug-target interactions (DTIs) are employed to accelerate drug discovery and reduce the required cost. Predicting new DTIs can leverage drug repurposing by identifying new targets for approved drugs. However, developing an accurate computational framework that can efficiently incorporate chemical and genomic spaces remains extremely demanding. A key issue is that most DTI predictions suffer from the lack of experimentally validated negative interactions or limited availability of target 3D structures. RESULTS: We report DT2Vec, a pipeline for DTI prediction based on graph embedding and gradient boosted tree classification. It maps drug-drug and protein–protein similarity networks to low-dimensional features and the DTI prediction is formulated as binary classification based on a strategy of concatenating the drug and target embedding vectors as input features. DT2Vec was compared with three top-performing graph similarity-based algorithms on a standard benchmark dataset and achieved competitive results. In order to explore credible novel DTIs, the model was applied to data from the ChEMBL repository that contain experimentally validated positive and negative interactions which yield a strong predictive model. Then, the developed model was applied to all possible unknown DTIs to predict new interactions. The applicability of DT2Vec as an effective method for drug repurposing is discussed through case studies and evaluation of some novel DTI predictions is undertaken using molecular docking. CONCLUSIONS: The proposed method was able to integrate and map chemical and genomic space into low-dimensional dense vectors and showed promising results in predicting novel DTIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04650-w

Incidence des conditions de conservation des vins blancs sur leur teneur en composés soufrés volatils

Dans ce travail, nous avons étudié lincidence de quelques paramètres de conservation des vins issus des cépages blancs grecs, Batiki et Rhoditis, sur leur teneur en composés soufrés volatils. Il est demontré que le stade du sulfitage des vins nouveaux joue un rôle important sur la formation de ces substances, ainsi que laération qui entraîne leur diminution. De plus, la conservation des vins en barrique ou en cuve, avec les lies ou non, influence dune manière différente la teneur des vins en substances soufrées volatiles. Influence of white wine conservation conditions on the levels of volatile sulphur compoundsIn the present study, the effects of various parameters of white wine conservation on the level of volatile sulphur compounds were examined. Wines from the Greek white cvs Batiki and Rhoditis were fermented. H2S was analysed colorimetrically, the more volatile sulphur compounds by headspace-gas chromatography (GC) coupled with flame photometry detection (FPD) and the less volatile sulphur compounds by liquid extraction-GC/MS. The best time to sulphurize a young wine is 5-6 d after the end of alcoholic fermentation in order to avoid the accumulation of sulphur substances, especially in wines intended to age on lees, Aeration of wine causes a notable decrease of the more volatile sulphur compounds, whereas the diminution is less important for the less volatile sulphur compounds. Furthermore, the amount of volatile sulphur compounds is affected by the conservation of wines in barriques or in stainless tanks, the duration of contact of wine with its lees, as well as the duration of conservation

Distributed Change Detection via Average Consensus over Networks

Distributed change-point detection has been a fundamental problem when performing real-time monitoring using sensor-networks. We propose a distributed detection algorithm, where each sensor only exchanges CUSUM statistic with their neighbors based on the average consensus scheme, and an alarm is raised when local consensus statistic exceeds a pre-specified global threshold. We provide theoretical performance bounds showing that the performance of the fully distributed scheme can match the centralized algorithms under some mild conditions. Numerical experiments demonstrate the good performance of the algorithm especially in detecting asynchronous changes.Comment: 15 pages, 8 figure