Results 21 to 30 of about 217,910 (328)
Thermal ablation of CT ‘invisible’ liver tumors using MRI fusion: a case control study
Purpose To evaluate whether ‘invisible’ liver tumors on CT can be treated by stereotactic radiofrequency ablation (SRFA) using fusion of pre-ablation MRI.
Peter Schullian +7 more
doaj +1 more source
E−H Bond Activation Reactions (E = H, C, Si, Ge) at Ruthenium: Terminal Phosphides, Silylenes, and Germylenes [PDF]
The placement of a strongly trans-influencing ligand on a ruthenium center opposite an anchoring silyl group of the tetradentate tripodal tris(phosphino)silyl ligand, [SiP^(Ph)_3]^− ([SiP^(Ph)_3]^− = tris(2-(diphenylphosphino)phenyl)silyl), has been ...
Mendiratta, Arjun +2 more
core +2 more sources
Stable isotope probing: Technical considerations when resolving ¹⁵N-labeled RNA in gradients [PDF]
RNA based stable isotope probing (SIP) facilitates the detection and identification of active members of microbial populations that are involved in the assimilation of an isotopically labeled compound.
Addison, Sarah Louise +2 more
core +2 more sources
The patient was in his 70s but appeared much older. Speaking in broken sentences, he nervously stated that he could not breathe. With each exhalation there were discomforting squeaks and whistles; with each intake of breath his nostrils widened, the muscles on his neck contracted, and his belly moved down towards his torso, making shallow craters in ...
openaire +2 more sources
Maternal mortality is unacceptably high in our region. In 2015, the Latin American Center for Perinatology and Women´s Reproductive Health (CLAP) created a regional network of institutions including 16 countries, committed to improving epidemiological ...
Suzanne J. Serruya +11 more
doaj +1 more source
Convolutional Neural Networks for Automatic Identification of Individuals at Terrestrial Terminals
The objective of this study was to develop an automated system for the identification of wanted individuals in terrestrial terminals using Convolutional Neural Networks (CNN).
Darwin Yarango-Farro +3 more
doaj +1 more source
Information Bottleneck Classification in Extremely Distributed Systems
We present a new decentralized classification system based on a distributed architecture. This system consists of distributed nodes, each possessing their own datasets and computing modules, along with a centralized server, which provides probes to ...
Denis Ullmann +5 more
doaj +1 more source
A Machine Learning Approach for Prediction of Signaling SIP Dialogs
In this paper, we propose a machine learning methodology for prediction of signaling sessions established with the Session Initiation Protocol (SIP). Given the increasing importance of predicting and detecting abnormal sequences of SIP messages to avoid ...
Diogo Pereira +2 more
doaj +1 more source
Price Discovery and the Accuracy of Consolidated Data Feeds in the U.S. Equity Markets
Both the scientific community and the popular press have paid much attention to the speed of the Securities Information Processor, the data feed consolidating all trades and quotes across the US stock market.
Bergen-Hill, Tobin A. +9 more
core +1 more source
Providing End-to-End Connectivity to SIP User Agents Behind NATs [PDF]
The widespread diffusion of private networks in SOHO scenarios is fostering an increased deployment of Network Address Translators (NATs). The presence of NATs seriously limits end-to-end connectivity and prevents protocols like the Session Initiation ...
Baldi, Mario +3 more
core +1 more source

