263 research outputs found
Opinion influence and evolution in social networks: a Markovian agents model
In this paper, the effect on collective opinions of filtering algorithms
managed by social network platforms is modeled and investigated. A stochastic
multi-agent model for opinion dynamics is proposed, that accounts for a
centralized tuning of the strength of interaction between individuals. The
evolution of each individual opinion is described by a Markov chain, whose
transition rates are affected by the opinions of the neighbors through
influence parameters. The properties of this model are studied in a general
setting as well as in interesting special cases. A general result is that the
overall model of the social network behaves like a high-dimensional Markov
chain, which is viable to Monte Carlo simulation. Under the assumption of
identical agents and unbiased influence, it is shown that the influence
intensity affects the variance, but not the expectation, of the number of
individuals sharing a certain opinion. Moreover, a detailed analysis is carried
out for the so-called Peer Assembly, which describes the evolution of binary
opinions in a completely connected graph of identical agents. It is shown that
the Peer Assembly can be lumped into a birth-death chain that can be given a
complete analytical characterization. Both analytical results and simulation
experiments are used to highlight the emergence of particular collective
behaviours, e.g. consensus and herding, depending on the centralized tuning of
the influence parameters.Comment: Revised version (May 2018
Using phone features to improve dialogue state tracking generalisation to unseen states
The generalisation of dialogue state tracking
to unseen dialogue states can be very
challenging. In a slot-based dialogue system,
dialogue states lie in discrete space
where distances between states cannot be
computed. Therefore, the model parameters
to track states unseen in the training
data can only be estimated from more general
statistics, under the assumption that
every dialogue state will have the same underlying
state tracking behaviour. However,
this assumption is not valid. For example,
two values, whose associated concepts
have different ASR accuracy, may
have different state tracking performance.
Therefore, if the ASR performance of the
concepts related to each value can be estimated,
such estimates can be used as general
features. The features will help to relate
unseen dialogue states to states seen
in the training data with similar ASR performance.
Furthermore, if two phonetically
similar concepts have similar ASR
performance, the features extracted from
the phonetic structure of the concepts can
be used to improve generalisation. In
this paper, ASR and phonetic structurerelated
features are used to improve the
dialogue state tracking generalisation to
unseen states of an environmental control
system developed for dysarthric speakers
Plywoods of northeast argentinian woods and soybean protein-based adhesives: Relationship between morphological aspects of veneers and shear strength values
Three-ply plywoods were produced using pine and Eucalyptus northeast Argentinian woods. A no-added formaldehyde biobased-adhesive was used for assembly, based on chemically modified soy protein concentrate. In this work we focused on the relationship between bonding quality parameters of the plywoods and the morphology of the glued line. Wood characteristics such as contact angle, roughness, density and moisture content were measured prior to plywood assembly. Bonding quality parameters (percentage of wood failure and shear strength) of the plywood were measured according to Argentinean standard IRAM 9562 and the results were evaluated with respect to microscopic observations of the glue joint. Eucalyptus wood was suitable for plywood interior condition applications, while pine barely exceeded the standards imposed by the norm
A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus
This paper introduces a new British English speech database, named the homeService corpus, which has been gathered as part of the
homeService project. This project aims to help users with speech and motor disabilities to operate their home appliances using voice
commands. The audio recorded during such interactions consists of realistic data of speakers with severe dysarthria. The majority of the
homeService corpus is recorded in real home environments where voice control is often the normal means by which users interact with
their devices. The collection of the corpus is motivated by the shortage of realistic dysarthric speech corpora available to the scientific
community. Along with the details on how the data is organised and how it can be accessed, a brief description of the framework used
to make the recordings is provided. Finally, the performance of the homeService automatic recogniser for dysarthric speech trained
with single-speaker data from the corpus is provided as an initial baseline. Access to the homeService corpus is provided through the
dedicated web page at http://mini.dcs.shef.ac.uk/resources/homeservice-corpus/. This will also have the most
updated description of the data. At the time of writing the collection process is still ongoing
Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy
Despite progress in clinical care for patients with coronavirus disease 2019 (COVID-19)1, population-wide interventions are still crucial to manage the pandemic, which has been aggravated by the emergence of new, highly transmissible variants. In this study, we combined the SIDARTHE model2, which predicts the spread of SARS-CoV-2 infections, with a new data-based model that projects new cases onto casualties and healthcare system costs. Based on the Italian case study, we outline several scenarios: mass vaccination campaigns with different paces, different transmission rates due to new variants and different enforced countermeasures, including the alternation of opening and closure phases. Our results demonstrate that non-pharmaceutical interventions (NPIs) have a higher effect on the epidemic evolution than vaccination alone, advocating for the need to keep NPIs in place during the first phase of the vaccination campaign. Our model predicts that, from April 2021 to January 2022, in a scenario with no vaccine rollout and weak NPIs (R = 1.27), as many as 298,000 deaths associated with COVID-19 could occur. However, fast vaccination rollouts could reduce mortality to as few as 51,000 deaths. Implementation of restrictive NPIs (R = 0.9) could reduce COVID-19 deaths to 30,000 without vaccinating the population and to 18,000 with a fast rollout of vaccines. We also show that, if intermittent open\u2013close strategies are adopted, implementing a closing phase first could reduce deaths (from 47,000 to 27,000 with slow vaccine rollout) and healthcare system costs, without substantive aggravation of socioeconomic losses
Solanum malmeanum, a promising wild relative for potato breeding.
Crop wild relatives are gaining increasing attention. Their use in plant breeding is essential to broaden the genetic basis of crops as well as to meet industrial demands, for global food security and sustainable production. Solanum malmeanum (Solanum sect. Petota, Solanaceae) is a wild relative of potatoes (S. tuberosum) from Southern South America, occurring in Argentina, Brazil, Paraguay and Uruguay. This wild potato has been largely mistaken for or historically considered as conspecific with S. commersonii. Recently, it was reinstated at the species level. Retrieving information on its traits and applied uses is challenging, because the species name has not always been applied correctly and also because species circumscriptions and morphological criteria applied to recognize it have not been consistent. To overcome these difficulties, we performed a thorough literature reference survey, herbaria specimens? identification revision and genebank database queries to review and update the information available on this potato wild relative, contributing to an increase in research on it to fully understand and explore its potential for potato breeding. Scarce studies have been carried out concerning its reproductive biology, resistance against pests and diseases as well as tolerance to abiotic stresses and evaluation of quality traits. The scattered information available makes it less represented in genebanks and genetic studies are missing. We compile, update and present available information for S. malmeanum on taxonomy, geographical distribution, ecology, reproductive biology, relationship with its closest relatives, biotic and abiotic stresses resistance and quality traits and discuss ways to overcome sexual barriers of hybridization and future perspectives for its use in potato breeding. As a final remark, we highlight that this species? potential uses have been neglected and must be unlocked. Thus, further studies on morphological and genetic variability with molecular tools are fundamental for an efficient conservation and applied use of this promising genetic resource.Online first 20 February 2023
Observability and nonlinear filtering
This paper develops a connection between the asymptotic stability of
nonlinear filters and a notion of observability. We consider a general class of
hidden Markov models in continuous time with compact signal state space, and
call such a model observable if no two initial measures of the signal process
give rise to the same law of the observation process. We demonstrate that
observability implies stability of the filter, i.e., the filtered estimates
become insensitive to the initial measure at large times. For the special case
where the signal is a finite-state Markov process and the observations are of
the white noise type, a complete (necessary and sufficient) characterization of
filter stability is obtained in terms of a slightly weaker detectability
condition. In addition to observability, the role of controllability in filter
stability is explored. Finally, the results are partially extended to
non-compact signal state spaces
Vegetative propagation of rootstocks and budding of "Irati" Japanese plum in recently rooted softwood cuttings.
No Brasil, as mudas de ameixeira são tradicionalmente produzidas por enxertia interespecífica, sendo o porta-enxerto propagado a partir de sementes de pessegueiro, muitas vezes obtidas do resíduo da industrialização do pêssego, o que promove heterogeneidade entre os porta-enxertos. Além disso, o sistema convencional de produção de mudas de ameixeira em condições de campo demanda em torno de 18 meses, desde a obtenção dos caroços à comercialização das mudas enxertadas. O objetivo do presente trabalho foi avaliar a viabilidade técnica do enraizamento adventício de estacas herbáceas de seis cultivares de Prunus spp., bem como a realização da enxertia da ameixeira ?Irati? nas estacas recém-enraizadas em casa de vegetação, visando reduzir o tempo necessário para produzir mudas com porta-enxertos clonados. Dois experimentos foram conduzidos em casa de vegetação, envolvendo a fase de propagação do porta-enxerto (1) e a fase da enxertia da ameixeira ?Irati? nas estacas recém-enraizadas (2). Nas condições experimentais adotadas, conclui-se que é tecnicamente viável a propagação vegetativa de cultivares de Prunus spp. sob nebulização intermitente, utilizando-se estacas herbáceas com 22 cm de comprimento. As cultivares Genovesa, Marianna 2624 e Myrobalan 29C apresentam boa capacidade de propagação, com alta porcentagem de estacas enraizadas vivas (>90%) e baixa mortalidade na aclimatação (?5,0%). A enxertia de ?borbulhia de escudo com lenho? da ameixeira ?Irati?, realizada em abril na estaca original do porta-enxerto, apresenta baixas porcentagens de pegamento (entre 17,1% e 31,4%) e o início do crescimento dos enxertos só é observado no final do inverno. Considerando os períodos necessários ao enraizamento da estaca herbácea e ao crescimento satisfatório do enxerto, para o plantio da muda na época adequada (inverno), não é possível produzir mudas enxertadas da ameixeira ?Irati? em tempo inferior a 12 meses, contado a partir da estaquia.Título em português: Propagação vegetativa de porta-enxertos e enxertia da ameixeira "Irati" em estacas herbáceas recém-enraizadas
Antideuterons as a Signature of Supersymmetric Dark Matter
Once the energy spectrum of the secondary component is well understood,
measurements of the antiproton cosmic-ray flux at the Earth will be a powerful
way to indirectly probe for the existence of supersymmetric relics in the
galactic halo. Unfortunately, it is still spoilt by considerable theoretical
uncertainties. As shown in this work, searches for low-energy antideuterons
appear in the mean time as a plausible alternative, worth being explored. Above
a few GeV/n, a dozen spallation antideuterons should be collected by the future
AMS experiment on board ISSA. For energies less than about 3 GeV/n, the
antideuteron spallation component becomes negligible and may be supplanted by a
potential supersymmetric signal. If a few low-energy antideuterons are
discovered, this should be seriously taken as a clue for the existence of
massive neutralinos in the Milky Way.Comment: 16 pages, 9 figure
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