Search results for "NETWORKS"
showing 10 items of 3260 documents
Spectrum utilization over licensed and unlicensed bands
2016
Nowadays, telecommunication technology becomes one of the universal phenomenon used in people’s daily life. In recent years, the appearance of smartphones, tab lets, mobile Internet Apps and services led to mobile data traffic proliferating, and the devices and ser- vices will continue to increase dramatically for some time. The fact along with the tele- communication devices increasing to aggravate the overload problem is that the users seek for fast and reliable data transmission, as well as service continuity. To address the over- load issue, LTE-Unlicensed (LTE-U) turns out to be one of the reasonable solutions to provide high performance and seamless interoperability for users’ experie…
Recruitment through migrant social networks from Latvia to the United Kingdom: Motivations, processes and developments
2015
A burgeoning body of literature exists in relation to the role of social networks in connecting migrant workers with employment opportunities, particularly in lower wage jobs. This evidence points to social networks being an attractive recruitment channel from the perspective of both migrants seeking employment and employers seeking employees. This analysis presents a wide breadth of original material, which examines recruitment through social networks from the perspective of both migrants and employers. This includes data drawn from an extensive mixed methods approach involving a novel online survey of Latvian migrants in the UK and face-to-face interviews with British low-wage employers. …
Unique Microbial Catabolic Pathway for the Human Core N-Glycan Constituent Fucosyl-α-1,6-N-Acetylglucosamine-Asparagine
2020
The survival of commensal bacteria in the human gut partially depends on their ability to metabolize host-derived molecules. The use of the glycosidic moiety of N-glycoproteins by bacteria has been reported, but the role of N-glycopeptides or glycoamino acids as the substrates for bacterial growth has not been evaluated. We have identified in Lactobacillus casei strain BL23 a gene cluster (alf-2) involved in the catabolism of the glycoamino acid fucosyl-α-1,6-N-GlcNAc-Asn (6′FN-Asn), a constituent of the core-fucosylated structures of mammalian N-glycoproteins. The cluster consists of the genes alfHC, encoding a major facilitator superfamily (MFS) permease and the α-l-fucosidase AlfC, and t…
Malic Enzyme and Malolactic Enzyme Pathways Are Functionally Linked but Independently Regulated in Lactobacillus casei BL23
2013
ABSTRACT Lactobacillus casei is the only lactic acid bacterium in which two pathways for l -malate degradation have been described: the malolactic enzyme (MLE) and the malic enzyme (ME) pathways. Whereas the ME pathway enables L. casei to grow on l -malate, MLE does not support growth. The mle gene cluster consists of three genes encoding MLE ( mleS ), the putative l -malate transporter MleT, and the putative regulator MleR. The mae gene cluster consists of four genes encoding ME ( maeE ), the putative transporter MaeP, and the two-component system MaeKR. Since both pathways compete for the same substrate, we sought to determine whether they are coordinately regulated and their role in l -m…
Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network
2020
Accurate registration of lung computed tomography (CT) image is a significant task in thorax image analysis. Recently deep learning-based medical image registration methods develop fast and achieve promising performance on accuracy and speed. However, most of them learned the deformation field through intensity similarity but ignored the importance of aligning anatomical landmarks (e.g., the branch points of airway and vessels). Accurate alignment of anatomical landmarks is essential for obtaining anatomically correct registration. In this work, we propose landmark constrained learning with a convolutional neural network (CNN) for lung CT registration. Experimental results of 40 lung 3D CT …
Young People's Translocal New Media Uses: A Multiperspective Analysis Of Language Choice And Heteroglossia
2009
The aim of this paper is to shed light on the particularities of the linguistic, social and cultural action of young Finns in translocal new media spaces, and the ways in which they themselves make sense of and account for their actions. We present findings from 4 case studies, each of which illustrates aspects of translocality in young Finns' new media uses. Theoretically and methodologically the case studies draw on sociolinguistics, discourse studies, and ethnography, making use of the concepts of language choice and linguistic and stylistic heteroglossia. Through the 4 cases in focus, the paper shows how young people's linguistically and textually sophisticated new media uses are geared…
DIAMIN: a software library for the distributed analysis of large-scale molecular interaction networks
2022
AbstractBackgroundHuge amounts of molecular interaction data are continuously produced and stored in public databases. Although many bioinformatics tools have been proposed in the literature for their analysis, based on their modeling through different types of biological networks, several problems still remain unsolved when the problem turns on a large scale.ResultsWe propose , that is, a high-level software library to facilitate the development of applications for the efficient analysis of large-scale molecular interaction networks. relies on distributed computing, and it is implemented in Java upon the framework Apache Spark. It delivers a set of functionalities implementing different ta…
Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation
2022
U-Net is the most cited and widely-used deep learning model for biomedical image segmentation. In this paper, we propose a new enhanced version of a ubiquitous U-Net architecture, which improves upon the original one in terms of generalization capabilities, while addressing several immanent shortcomings, such as constrained resolution and non-resilient receptive fields of the main pathway. Our novel multi-path architecture introduces a notion of an individual receptive field pathway, which is merged with other pathways at the bottom-most layer by concatenation and subsequent application of Layer Normalization and Spatial Dropout, which can improve generalization performance for small datase…
Leader election and local identifiers for three‐dimensional programmable matter
2020
International audience; In this paper, we present two deterministic leader election algorithms for programmable matter on the face-centered cubic grid. The face-centered cubic grid is a 3-dimensional 12-regular infinite grid that represents an optimal way to pack spheres (i.e., spherical particles or modules in the context of the programmable matter) in the 3-dimensional space. While the first leader election algorithm requires a strong hypothesis about the initial configuration of the particles and no hypothesis on the system configurations that the particles are forming, the second one requires fewer hypothesis about the initial configuration of the particles but does not work for all pos…
A Benchmarking Platform for Atomic Learned Indexes
2022
This repository provides a benchmarking platform to evaluate how Feed Forward Neural Networks can be effectively used as index data structures.