218 research outputs found
Finite dimensional irreducible representations and the uniqueness of the Lebesgue decomposition of positive functionals
We prove for an arbitrary complex -algebra that every topologically
irreducible -representation of on a Hilbert space is finite dimensional
precisely when the Lebesgue decomposition of representable positive functionals
over is unique. In particular, the uniqueness of the Lebesgue decomposition
of positive functionals over the -algebras of locally compact groups
provides a new characterization of Moore groups.Comment: To appear in: Journal of Operator Theor
Reducing Consumption Of Food With High Level Of Fat, Sugar And/Or Salt Among Young Generation
The young generation is the most influenced and vulnerable segment of the market. Food with high level of fat, sugar and/or salt
are popularised for this segment. At the same time nearly 7 people die of obesity or from complications of obesity in Hungary each hour â
one every 9 minutes. Less than 10% of youth are of the belief of eating healthy and more then one third of youth donât take care about healthy
eating. The young generation can be especially influenced by use of well-known persons, prize games and free gifts. The idea of fat taxâs
introduction could be an obvious proposal
Designing Homes for Function and Safety
4 pp., 3 illustrationsThe principle of universal design is that homes should be as usable as possible by people of all ages and physical ablities. This might be accomplished by widening doors, making floor levels flush, placing electrical outlets within reach of a person in a wheelchair, or installing handrails on both sides of stairs. These and many other tips are included in this publication
Self-Adaptive, Dynamic, Integrated Statistical and Information Theory Learning
The paper analyses and serves with a positioning of various error measures
applied in neural network training and identifies that there is no best of
measure, although there is a set of measures with changing superiorities in
different learning situations. An outstanding, remarkable measure called
published by Silva and his research partners represents a research
direction to combine more measures successfully with fixed importance weighting
during learning. The main idea of the paper is to go far beyond and to
integrate this relative importance into the neural network training
algorithm(s) realized through a novel error measure called . This
approach is included into the Levenberg-Marquardt training algorithm, so, a
novel version of it is also introduced, resulting a self-adaptive, dynamic
learning algorithm. This dynamism does not has positive effects on the resulted
model accuracy only, but also on the training process itself. The described
comprehensive algorithm tests proved that the proposed, novel algorithm
integrates dynamically the two big worlds of statistics and information theory
that is the key novelty of the paper.Comment: 62 pages, 30 figures, original articl
Characterization of the Dynamic Transcriptome of a Herpesvirus with Long-read Single Molecule Real-Time Sequencing
Herpesvirus gene expression is co-ordinately regulated and sequentially ordered
during productive infection. The viral genes can be classified into three distinct
kinetic groups: immediate-early, early, and late classes. In this study, a
massively parallel sequencing technique that is based on PacBio Single
Molecule Real-time sequencing platform, was used for quantifying the poly(A)
fraction of the lytic transcriptome of pseudorabies virus (PRV) throughout a 12-
hour interval of productive infection on PK-15 cells. Other approaches, including
microarray, real-time RT-PCR and Illumina sequencing are capable of detecting
only the aggregate transcriptional activity of particular genomic regions, but not
individual herpesvirus transcripts. However, SMRT sequencing allows for a
distinction between transcript isoforms, including length- and splice variants, as
well as between overlapping polycistronic RNA molecules. The non-amplified
Isoform Sequencing (Iso-Seq) method was used to analyse the kinetic
properties of the lytic PRV transcripts and to then classify them accordingly.
Additionally, the present study demonstrates the general utility of long-read
sequencing for the time-course analysis of global gene expression in practically
any organism
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