295 research outputs found

    Odontology & artificial intelligence

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    Neste trabalho avaliam-se os três fatores que fizeram da inteligência artificial uma tecnologia essencial hoje em dia, nomeadamente para a odontologia: o desempenho do computador, Big Data e avanços algorítmicos. Esta revisão da literatura avaliou todos os artigos publicados na PubMed até Abril de 2019 sobre inteligência artificial e odontologia. Ajudado com inteligência artificial, este artigo analisou 1511 artigos. Uma árvore de decisão (If/Then) foi executada para selecionar os artigos mais relevantes (217), e um algoritmo de cluster k-means para resumir e identificar oportunidades de inovação. O autor discute os artigos mais interessantes revistos e compara o que foi feito em inovação durante o International Dentistry Show, 2019 em Colónia. Concluiu, assim, de forma crítica que há uma lacuna entre tecnologia e aplicação clínica desta, sendo que a inteligência artificial fornecida pela indústria de hoje pode ser considerada um atraso para o clínico de amanhã, indicando-se um possível rumo para a aplicação clínica da inteligência artificial.There are three factors that have made artificial intelligence (AI) an essential technology today: the computer performance, Big Data and algorithmic advances. This study reviews the literature on AI and Odontology based on articles retrieved from PubMed. With the help of AI, this article analyses a large number of articles (a total of 1511). A decision tree (If/Then) was run to select the 217 most relevant articles-. Ak-means cluster algorithm was then used to summarize and identify innovation opportunities. The author discusses the most interesting articles on AI research and compares them to the innovation presented during the International Dentistry Show 2019 in Cologne. Three technologies available now are evaluated and three suggested options are been developed. The author concludes that AI provided by the industry today is a hold-up for the praticioner of tomorrow. The author gives his opinion on how to use AI for the profit of patients

    Décomposition de Hodge-Helmholtz discrète

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    We propose in this thesis a methodology to compute the Helmholtz-Hodge decomposition on discrete polyhedral meshes. The challenge of this work isto preserve the properties of the decomposition at the discrete level. In our literature survey, we have identified the need of mimetic schemes to achieve our goal. The description and validation of our implementation of these schemes are presented inthis document. We revisit and improve the methods of decomposition we then study through numerical experiments. In particular, we detail our choice of linear solvers and the convergence of extracted quantities on various series of polyhedral meshes and boundary conditions. Finally, we apply the Helmholtz-Hodge decomposition to the study of two turbulent flows: a turbulent channel flow and a homogeneous isotropic turbulent flow.Nous proposons dans ce mémoire de thèse une méthodologie permettant la résolution du problème de la décomposition de Hodge-Helmholtz discrète sur maillages polyédriques. Le défi de ce travail consiste à respecter les propriétés de la décomposition au niveau discret. Pour répondre à cet objectif, nous menons une étude bibliographique nous permettant d'identifier la nécessité de la mise en oeuvre de schémas numériques mimétiques. La description ainsi que la validation de la mise en oeuvre de ces schémas sont présentées dans ce mémoire. Nous revisitons et améliorons les méthodes de décomposition que nous étudions ensuite au travers d'expériences numériques. En particulier, nous détaillons le choix d'un solveur linéaire ainsi que la convergence des quantités extraites sur un ensemble varié de maillages polyédriques et de conditions aux limites. Nous appliquons finalement la décomposition de Hodge-Helmholtz à l'étude de deux écoulements turbulents : un écoulement en canal plan et un écoulement turbulent homogène isotrope

    Two-stream-like instability in dilute hot relativistic beams and astrophysical relativistic shocks

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    Relativistic collisionless shocks are believed to be efficient particle accelerators. Nonlinear outcome of the interaction of accelerated particles that run ahead of the shock, the so-called "precursor", with the unperturbed plasma of the shock upstream, is thought to facilitate additional acceleration of these particles and to possibly modify the hydrodynamic structure of the shock. We explore here the linear growth of kinetic modes appearing in the precursor-upstream interaction in relativistic shocks propagating in non and weakly magnetized plasmas: electrostatic two-stream parallel mode and electrostatic oblique modes. These modes are of particular interest because they are the fastest growing modes known in this type of system. Using a simplified distribution function for a dilute ultra-relativistic beam that is relativistically hot in its own rest frame, yet has momenta that are narrowly collimated in the frame of the cold upstream plasma into which it propagates, we identify the fastest growing mode in the full kk-space and calculate its growth rate. We consider all types of plasma (pairs and ions-electrons) and beam (charged and charge-neutral). We find that unstable electrostatic modes are present in any type of plasma and for any shock parameters. We further find that two modes, one parallel (k=0k_\perp=0) and the other one oblique (kkk_\perp \sim k_\|), are competing for dominance and that either one may dominate the growth rate in different regions of the phase space. The dominant mode is determined mostly by the perpendicular spread of the accelerated particle momenta in the upstream frame, which reflects the shock Lorentz factor. The parallel mode becomes more dominant in shocks with lower Lorentz factors (i.e., with larger momentum spreads). We briefly discuss possible implications of our results for external shocks in gamma-ray burst sources

    Tau PET imaging: present and future directions.

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    Abnormal aggregation of tau in the brain is a major contributing factor in various neurodegenerative diseases. The role of tau phosphorylation in the pathophysiology of tauopathies remains unclear. Consequently, it is important to be able to accurately and specifically target tau deposits in vivo in the brains of patients. The advances of molecular imaging in the recent years have now led to the recent development of promising tau-specific tracers for positron emission tomography (PET), such as THK5317, THK5351, AV-1451, and PBB3. These tracers are now available for clinical assessment in patients with various tauopathies, including Alzheimer's disease, as well as in healthy subjects. Exploring the patterns of tau deposition in vivo for different pathologies will allow discrimination between neurodegenerative diseases, including different tauopathies, and monitoring of disease progression. The variety and complexity of the different types of tau deposits in the different diseases, however, has resulted in quite a challenge for the development of tau PET tracers. Extensive work remains in order to fully characterize the binding properties of the tau PET tracers, and to assess their usefulness as an early biomarker of the underlying pathology. In this review, we summarize recent findings on the most promising tau PET tracers to date, discuss what has been learnt from these findings, and offer some suggestions for the next steps that need to be achieved in a near future

    Comparative Dissociation of Peptide Polyanions by Electron Impact and Photo-Induced Electron Detachment

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    We compare product-ion mass spectra produced by electron detachment dissociation (EDD) and electron photodetachment dissociation (EPD) of multi-deprotonated peptides on a Fourier transform and a linear ion trap mass spectrometer, respectively. Both methods, EDD and EPD, involve the electron emission-induced formation of a radical oxidized species from a multi-deprotonated precursor peptide. Product-ion mass spectra display mainly fragment ions resulting from backbone cleavages of Cα–C bond ruptures yielding a and x ions. Fragment ions originating from N–Cα backbone bond cleavages are also observed, in particular by EPD. Although EDD and EPD methods involve the generation of a charge-reduced radical anion intermediate by electron emission, the product ion abundance distributions are drastically different. Both processes seem to be triggered by the location and the recombination of radicals (both neutral and cation radicals). Therefore, EPD product ions are predominantly formed near tryptophan and histidine residues, whereas in EDD the negative charge solvation sites on the backbone seem to be the most favorable for the nearby bond dissociation

    Décomposition de Hodge-Helmholtz Discrète

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    La décomposition de Hodge-Helmholtz permet de séparer un champ de vecteurs quelconque en la somme d'un champ irrotationnel et d'un champ solénoïdal. Le but de notre étude consiste à appliquer cette décomposition à des champs issus de la mécanique des fluides. D'une part, pour l'analyse des champs turbulents en vue de leurs modélisation. D'autre part, pour la décomposition des termes sources dans les équations de Navier-Stokes, par exemple, séparer la pression capillaire des effets de mouvement contenus dans le terme capillaire. Cette décomposition s'effectue au niveau discret. La première étape de ce travail consiste à établir un ensemble d'algorithmes efficaces permettant la décomposition discrète. Les études bibliographiques ont montré l'importance de la méthode de discrétisation, notamment le respect des identités vectorielles div(rot) = 0 et rot(grad) = 0 au niveau discret. Une famille de méthodes numériques, dénommée communément 'mimetic', permet de vérifier ces identités. Associés à cette méthodologie, plusieurs algorithmes permettant la décomposition ont été mis en œuvre et leurs performances ont été comparées. Deux types d'analyse de la turbulence ont été envisagés. D'une part, l'analyse de spectre de champs turbulents homogènes isotropes compressibles, d'autre part, l'analyse de champs turbulents au niveau de l'interface entre deux fluides non miscibles. La décomposition de Hodge-Helmholtz fait intervenir deux composantes découlant de potentiels. Un potentiel scalaire associé au champ irrotationnel et un potentiel vectoriel associé au champ solénoïdal. De manière physique, on peut associer le potentiel scalaire à la pression et le potentiel vectoriel au mouvement. La décomposition discrète permettra d'établir des algorithmes de résolution des équations de Navier-Stokes permettant de contrôler ces deux effets

    Combined collision-induced dissociation and photo-selected reaction monitoring mass spectrometry modes for simultaneous analysis of coagulation factors and estrogens

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    AbstractOral estrogens are directly associated with changes in plasma levels of coagulation proteins. Thus, the detection of any variation in protein concentrations due to estrogen contraceptives, by a simultaneous analysis of both coagulation proteins and estrogens, would be a very informative tool. In the present study, the merit of photo-selected reaction monitoring (SRM), a new analytical tool, was evaluated towards estrogens detection in plasma. Then, SRM and photo-SRM detection modes were combined for the simultaneous analysis of estrogen molecules together with heparin co-factor and factor XIIa, two proteins involved in the coagulation cascade. This study shows that photo-SRM could open new multiplexed analytical routes

    Teolenn: an efficient and customizable workflow to design high-quality probes for microarray experiments

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    Despite the development of new high-throughput sequencing techniques, microarrays are still attractive tools to study small genome organisms, thanks to sample multiplexing and high-feature densities. However, the oligonucleotide design remains a delicate step for most users. A vast array of software is available to deal with this problem, but each program is developed with its own strategy, which makes the choice of the best solution difficult. Here we describe Teolenn, a universal probe design workflow developed with a flexible and customizable module organization allowing fixed or variable length oligonucleotide generation. In addition, our software is able to supply quality scores for each of the designed probes. In order to assess the relevance of these scores, we performed a real hybridization using a tiling array designed against the Trichoderma reesei fungus genome. We show that our scoring pipeline correlates with signal quality for 97.2% of all the designed probes, allowing for a posteriori comparisons between quality scores and signal intensities. This result is useful in discarding any bad scoring probes during the design step in order to get high-quality microarrays. Teolenn is available at http://transcriptome.ens.fr/teolenn/

    The GZK cutoff behind a Magnetized Universe

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    We study the effect of random extra-galactic magnetic fields on the propagation of protons of energy larger than 101910^{19} eV. We show that for reasonable field values (in the 100 nG range) the transition between diffusive and ballistic regimes occurs in the same energy range as the GZK cutoff (a few 101910^{19} eV). The usual interpretation of the flux reduction above the GZK energy in terms of a sudden reduction of the visible horizon is modified. Moreover, since the size of the diffusion sphere of a continuous source of cosmic rays is of the order of 10 Mpc, the local structure of the Universe and therefore of potential local astrophysical sources plays a dominant role in the expected spectrum. Under reasonable assumptions on the sources configurations the expected GZK cutoff is reduced
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