Search results for "Network"
showing 10 items of 7718 documents
Reductive modification of genetically encoded 3-nitrotyrosine sites in alpha synuclein expressed in E.coli
2019
Tyrosine nitration is a post-translational protein modification relevant to various pathophysiological processes. Chemical nitration procedures have been used to generate and study nitrated proteins, but these methods regularly lead to modifications at other amino acid residues. A novel strategy employs a genetic code modification that allows incorporation of 3-nitrotyrosine (3-NT) during ribosomal protein synthesis to generate a recombinant protein with defined 3-NT-sites, in the absence of other post-translational modifications. This approach was applied to study the generation and stability of the 3-NT moiety in recombinant proteins produced in E.coli. Nitrated alpha-synuclein (ASYN) was…
Virtual Reality and Games
2018
The concept of Virtual Reality (VR) dates back to around 1930, where different technologies and concepts arise. For instance, in 1929 Edward Link created the Link Trainer (further patented in 1931), reported to be the first example of a commercial flight simulator, being entirely electromechanical. Also, in the 1930s, the visionary, science fiction writer Stanley G. Weinbaum brings a story (Pygmalion’s Spectacles) that introduces the early idea of a pair of goggles that makes the wearer experience a fictional world through holograms, smell, taste, and touch. Weinbaum describes uncanny experiences for those wearing the goggles, aligned with the modern experiences of VR. It is in the mid 1950…
A new Three Color Marker for TCP flows
2004
In Differentiated Services networks, packets may receive a different treatment according to their Differentiated Services Code Point (DSCP) label. As a consequence, packet marking schemes can be devised to differentiate packets belonging to a same TCP flow, with the goal of improving the experienced performance. This paper presents an extensive performance evaluation of a new adaptive packet marking scheme, which relies on three different service classes, provided by the DiffServ network. The scheme provides protection of vulnerable packets in the TCP flows and adaptivity through "probes" packets. The performance have been evaluted in a traffic scenario composed of TCP flows with different …
A Self-Contained and Automated Method for Flood Hazard Maps Prediction in Urban Areas
2020
Water depths and velocities predicted inside urban areas during severe storms are traditionally the final result of a chain of hydrologic and hydraulic models. The use of a single model embedding all the components of the rainfall&ndash
Strategies for Improving Optimal Positioning of Quality Sensors in Urban Drainage Systems for Non-Conservative Contaminants
2021
In the urban drainage sector, the problem of polluting discharges in sewers may act on the proper functioning of the sewer system, on the wastewater treatment plant reliability and on the receiving water body preservation. Therefore, the implementation of a chemical monitoring network is necessary to promptly detect and contain the event of contamination. Sensor location is usually an optimization exercise that is based on probabilistic or black-box methods and their efficiency is usually dependent on the initial assumption made on possible eligibility of nodes to become a monitoring point. It is a common practice to establish an initial non-informative assumption by considering all network…
Optimizing artificial neural networks for the evaluation of asphalt pavement structural performance
2019
Artificial Neural Networks represent useful tools for several engineering issues. Although they were adopted in several pavement-engineering problems for performance evaluation, their application on pavement structural performance evaluation appears to be remarkable. It is conceivable that defining a proper Artificial Neural Network for estimating structural performance in asphalt pavements from measurements performed through quick and economic surveys produces significant savings for road agencies and improves maintenance planning. However, the architecture of such an Artificial Neural Network must be optimised, to improve the final accuracy and provide a reliable technique for enriching d…
Ties, Leaders, and Teams: A Social Network Approach
2014
To examine the theoretical and empirical implications of integrating the network and team literatures, we opened three different research lines. First, we argued that leader multiplex ties with their team members fulfilled important functions for team performance. In support of our hypotheses, analysis of data from 84 teams of a Spanish public service organization suggested that leaders’ centrality in their teams’ multiplex networks comprising both advice and friendship ties predicted longitudinal change in team performance, above and beyond members’ own multiplex ties. Beyond main effects, leader multiplex ties differentially interacted with members’ own network ties. We discussed theoreti…
Energizing Collaborative Industry-Academia Learning: A Present Case and Future Visions
2022
AbstractIn Industry-Academia Collaborations (IAC) both academic, scientific research results and industrial practitioner findings and experiences are produced. Both types of knowledge should be gathered, codified, and disseminated efficiently and effectively. This paper investigates a recent (2014–2017) large-scale IAC R&D&I program case (Need for Speed, N4S) from a learning perspective. It was one of the programs in the Finnish SHOK (Strategic Centres of Science, Technology, and Innovation) system. The theoretical bases are in innovation management, knowledge management, and higher education (university) pedagogy. In the future, IAC projects should be more and more commonplace sinc…
System identification via optimised wavelet-based neural networks
2003
Nonlinear system identification by means of wavelet-based neural networks (WBNNs) is presented. An iterative method is proposed, based on a way of combining genetic algorithms (GAs) and least-square techniques with the aim of avoiding redundancy in the representation of the function. GAs are used for optimal selection of the structure of the WBNN and the parameters of the transfer function of its neurones. Least-square techniques are used to update the weights of the net. The basic criterion of the method is the addition of a new neurone, at a generic step, to the already constructed WBNN so that no modification to the parameters of its neurones is required. Simulation experiments and compa…