785 research outputs found
Lithium : old & new uses in medicine
Lithium has been used in psychiatry since 1949, and since the mid 1960s its use has escalated until it is estimated that about 500,000 patients receive it world-wide. During the last decade a new phase of interest in lithium has begun. Lithium is being used with beneficial effects as a treatment in other health related problems unrelated to psychiatry.peer-reviewe
Pure Samples of Quark and Gluon Jets at the LHC
Having pure samples of quark and gluon jets would greatly facilitate the
study of jet properties and substructure, with many potential standard model
and new physics applications. To this end, we consider multijet and jets+X
samples, to determine the purity that can be achieved by simple kinematic cuts
leaving reasonable production cross sections. We find, for example, that at the
7 TeV LHC, the pp {\to} {\gamma}+2jets sample can provide 98% pure quark jets
with 200 GeV of transverse momentum and a cross section of 5 pb. To get 10 pb
of 200 GeV jets with 90% gluon purity, the pp {\to} 3jets sample can be used.
b+2jets is also useful for gluons, but only if the b-tagging is very efficient.Comment: 19 pages, 16 figures; v2 section on formally defining quark and gluon
jets has been adde
Hierarchical Temporal Representation in Linear Reservoir Computing
Recently, studies on deep Reservoir Computing (RC) highlighted the role of
layering in deep recurrent neural networks (RNNs). In this paper, the use of
linear recurrent units allows us to bring more evidence on the intrinsic
hierarchical temporal representation in deep RNNs through frequency analysis
applied to the state signals. The potentiality of our approach is assessed on
the class of Multiple Superimposed Oscillator tasks. Furthermore, our
investigation provides useful insights to open a discussion on the main aspects
that characterize the deep learning framework in the temporal domain.Comment: This is a pre-print of the paper submitted to the 27th Italian
Workshop on Neural Networks, WIRN 201
Richness of Deep Echo State Network Dynamics
Reservoir Computing (RC) is a popular methodology for the efficient design of
Recurrent Neural Networks (RNNs). Recently, the advantages of the RC approach
have been extended to the context of multi-layered RNNs, with the introduction
of the Deep Echo State Network (DeepESN) model. In this paper, we study the
quality of state dynamics in progressively higher layers of DeepESNs, using
tools from the areas of information theory and numerical analysis. Our
experimental results on RC benchmark datasets reveal the fundamental role
played by the strength of inter-reservoir connections to increasingly enrich
the representations developed in higher layers. Our analysis also gives
interesting insights into the possibility of effective exploitation of training
algorithms based on stochastic gradient descent in the RC field.Comment: Preprint of the paper accepted at IWANN 201
Deep Tree Transductions - A Short Survey
The paper surveys recent extensions of the Long-Short Term Memory networks to
handle tree structures from the perspective of learning non-trivial forms of
isomorph structured transductions. It provides a discussion of modern TreeLSTM
models, showing the effect of the bias induced by the direction of tree
processing. An empirical analysis is performed on real-world benchmarks,
highlighting how there is no single model adequate to effectively approach all
transduction problems.Comment: To appear in the Proceedings of the 2019 INNS Big Data and Deep
Learning (INNSBDDL 2019). arXiv admin note: text overlap with
arXiv:1809.0909
Berry Preparations and Extracts
A method for deriving compositions having antioxidant and anti-inflammatory activity from berries is provided. The method results in a berry extract compositions having stable anthocyanin content. In one aspect, the method comprises exposing a berry to a solvent composition having a pH of from about 1 to about 4.5, and recovering a berry extract having a stabilized anthocyanin content. The berry may be a blackberry. A cryoprotectant may be added, to further stabilize the anthocyanin content. Compositions comprising the berry extract of the present invention, formulated for oral and/or topical administration, are provided also, including nutritional supplements, capsules, enteric-coated capsules, film-coated capsules, tablets, enteric-coated tablets, film-coated tablets, chewing gums, lotions, creams, mucoadhesive gels, vanishing lotions, vanishing creams, and the like. In yet another aspect, the present invention provides methods and compositions for treating inflammation, oxidative damage, or cancer in a mammal
Historical Scene Investigation (HSI): Engaging Students in Case Based Investigations using Web-Based Historical Documents
The Historical Scene Investigation (HSI) project builds upon the work of a number of scholars to facilitate the application and acquisition of historical thinking skills in the K-12 classroom. Through a structured yet flexible approach, HSI exercises attempt to provide scaffolding for the analysis of a variety of historical documents to simultaneously develop an understanding of the content focus of the investigation and the historiography skills embedded in their work. HSI exercises are designed to be “interpreted” and edited by classroom teachers in either a low- or high-tech approach. This article explores the background and structure of the model and discussion of the classroom implementation of two examples
Berry Preparation and Extracts
Compositions having antioxidant and anti-inflammatory activity, and methods for providing such compositions, are disclosed. In one aspect, the compositions are derived by exposing a berry to an acidic solvent composition, adding a cryoprotectant, and recovering a berry extract having a stabilized anthocyanin content. Compositions comprising the stabilized anthocyanin-containing berry extract, formulated for oral and/or topical administration, are provided also
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