Search results for "NETWORKS"
showing 10 items of 3260 documents
Polycomb-like 2 Associates with PRC2 and Regulates Transcriptional Networks during Mouse Embryonic Stem Cell Self-Renewal and Differentiation
2010
SummaryPolycomb group (PcG) proteins are conserved epigenetic transcriptional repressors that control numerous developmental gene expression programs and have recently been implicated in modulating embryonic stem cell (ESC) fate. We identified the PcG protein PCL2 (polycomb-like 2) in a genome-wide screen for regulators of self-renewal and pluripotency and predicted that it would play an important role in mouse ESC-fate determination. Using multiple biochemical strategies, we provide evidence that PCL2 is a Polycomb Repressive Complex 2 (PRC2)-associated protein in mouse ESCs. Knockdown of Pcl2 in ESCs resulted in heightened self-renewal characteristics, defects in differentiation, and alte…
Window to Europe : Finland and Nordic Fascist Networks during the Cold War
2022
For Finnish fascist groups and organisations, which were officially banned by the 1948 Paris Peace Treaty, Nordic contacts and networks provided an opportunity to maintain contact with their ideological comrades, if only in a clandestine manner, and open a window to Europe. For their Nordic comrades, Finland was a land glorified not only for its battles against the Soviet Union, but also a buffer state against the threat of communism. Contacts with the Finns were, in most cases, unofficial and often denied when revealed in the newspapers or by the police. From the 1950s onwards, organisational contacts were nevertheless also developed. By the 1970s, a Swedish fascist party, the Nordic Reich…
Exploring Training Options for RF Sensing Using CSI
2018
This work analyzes human behavior recognition approaches using WiFi channel state information from the perhaps less usual point of view of training and calibration needs. With the help of selected literature examples, as well as with more detailed experimental insights on our own Doppler spectrum-based approach for physical motion/presence/cardinality detection, we first classify the diverse forms of training so far employed into three main categories (trained, trained-once, and training-free). We further discuss under which conditions it is possible to move toward lighter forms of calibration or even succeed in devising fully untrained model-based solutions. Our take home messages are main…
‘I think I will need help’: A systematic review of who facilitates the recovery from gender‐based violence and how they do so
2020
Context A key to advancing the eradication of gender-based violence (GBV) is knowing how to recover from it. Objective To identify the changes that are indicators of having overcome GBV and determine the role of various support networks. Search strategy We systematically searched Web of Science. Inclusion criteria Publications whose abstracts contained a minimum of two of the following words: (a) support or network or solidarity, (b) violence and (c) recovery or healing. Data extraction and synthesis Of the 273 documents retrieved, 52 were used using a narrative synthesis approach. Main results For recovery, women must reconnect with themselves, with their environment and with the world in …
Detection of antagonism and polarization on social media through community boundaries
2021
The Effect of Cycle Time and Offset on Roadside Pollutant Concentrations
2009
Hourly Forecasting of SO2 Pollutant Concentration Using an Elman Neural Network
2006
In this paper the first results produced by an Elman neural network for hourly SO2 ground concentration forecasting are presented. Time series has been recorded between 1998 and 2001 and are referred to a monitoring station of SO2 in the industrial site of Priolo, Syracuse, Italy. Data has been kindly provided by CIPA (Consorzio Industriale per la Protezione dell'Ambiente, Siracusa, Italia). Time series parameters are the horizontal and vertical wind velocity, the wind direction, the stability classes of Thomas, the base level of the layer of the atmospheric stability, the gradient of the potential temperature and the difference of the potential temperature of reference.
Urban Air Quality Monitoring Using Vehicular Sensor Networks
2014
The quality of air is a major concern in modern cities as pollutants have been demonstrated to have significant impact on human health. Networks of fixed monitoring stations have been deployed in urban areas to provide authorities with data to define and enforce dynamically policies to reduce pollutants, for instance by issuing traffic regulation measures. However, fixed networks require careful placement of monitoring stations to be effective. Moreover, changes in urban arrangement, activities, or regulations may affect considerably the monitoring model, especially when budget constraints prevent from relocating stations or adding new ones to the network. In this chapter we discuss a diffe…
Influence of coordinated traffic lights parameters on roadside pollutant concentrations
2009
Abstract The paper examines the effects of coordinated traffic lights on CO and C 6 H 6 roadside concentrations in an urban area of Palermo in Southern Italy. Traffic loop detectors and one pollution-monitoring are used to collect data for use in DRACULA traffic microsimulator software. CO and C 6 H 6 roadside concentrations associated with varying cycle and offset times of the coordinated traffic lights are estimated using a neural network. Two functions were set up describing the relations of pollutant concentrations in term of cycle and offset time.
Traffic Parameters Estimation to Predict Road Side Pollutant Concentrations using Neural Networks
2007
The analysis aims to evaluate which is the most important among traffic parameters (flows, queues length, occupancy degree, and travel time) to forecast CO and C6H6 concentrations. The study area was identified by Notarbartolo Road and bounded by Liberta Street and Sciuti Street in the urban area of Palermo in Southern Italy. In this area, various loop detectors and one pollution-monitoring site were located. Traffic data related to the pollution-monitoring site immediately near the road link were estimated by Simulation of Urban MObility (SUMO) traffic microsimulator software using as input the flows measured by loop detectors on other links of road network. Traffic and weather data were u…