113 research outputs found
Efeito da adição de água de coco em culturas de calos de cupuaçuzeiro (Theobroma grandiflorum (Willd. ex Spreng.) Schum.).
Calogênese in vitro em diferentes explantes de cupuaçuzeiro (Theobroma grandiflorum (Willd. ex Spreng.) Schum.).
Indução de gemas axilares de cajazeira (Spondias mombin L.) sob condições in vitro.
Este estudo tem por objetivo avaliar condicoes de desinfestacao que reduzam a incidencia de contaminantes e nao afetem as taxas de inducao de gemas e de formacao de brotos axilares em segmentos nodais de cajazeira.bitstream/CNPAT-2010/5392/1/Pa-061.pd
Somatic embryogenesis from zygotic embryos of Euterpe oleracea Mart.
O objetivo do presente trabalho foi estudar as diferentes respostas morfogenéticas de embriões zigóticos de açaizeiro (Euterpe oleracea Mart.) submetidos a várias condições de cultura in vitro. Os experimentos foram conduzidos em laboratório, com material vegetal coletado de plantas de açaí da Embrapa Amazônia Oriental, Belém-PA, Brasil. Foi possível verificar a expressão de um modelo de embriogênese somática direto, repetitivo e assincronizado em embriões zigóticos maduros cultivados em meio primário MS, suplementado com 339,36 mM de 2,4-diclorofenoxiacético (2,4-D), e transferidos para meio secundário MS na presença de 0,537 mM de ácido 1-naftalenoacético (ANA) e 12,30 mM de 2-isopenteniladenina (2iP). A conversão de embriões somáticos em plântulas foi alcançada aos 210 dias da inoculação com a transferência das culturas para um terceiro meio com a concentração de sais e sacarose reduzida pela metade e ausência de reguladores de crescimento
Driving a motor vehicle and psychogenic nonepileptic seizures: ILAE Report by the Task Force on Psychogenic Nonepileptic Seizures
Objectives
This International League Against Epilepsy (ILAE) Report: (a) summarizes the literature about “driving and psychogenic nonepileptic seizures (PNES)”; (b) presents the views of international experts; and (c) proposes an approach to assessing the ability of persons with PNES (PwPNES) to drive.
Methods
Phase 1: Systematic literature review. Phase 2: Collection of international expert opinion using SurveyMonkey®. Experts included the members of the ILAE PNES Task Force and individuals with relevant publications since 2000. Phase 3: Joint analysis of the findings and refinement of conclusions by all participants using email. As an ILAE Report, the resulting text was reviewed by the Psychiatry Commission, the ILAE Task Force on Driving Guidelines, and Executive Committee.
Results
Eight studies identified by the systematic review process failed to provide a firm evidence base for PNES‐related driving regulations, but suggest that most health professionals think restrictions are appropriate. Twenty‐six experts responded to the survey. Most held the view that decisions about driving privileges should consider individual patient and PNES characteristics and take account of whether permits are sought for private or commercial driving. Most felt that those with active PNES should not be allowed to drive unless certain criteria were met and that PNES should be thought of as “active” if the last psychogenic seizure had occurred within 6 months.
Significance
Recommendations on whether PwPNES can drive should be made at the individual patient level. Until future research has determined the risk of accidents in PwPNES a proposed algorithm may guide decisions about driving advice
EEG windowed statistical wavelet scoring for evaluation and discrimination of muscular artifacts
EEG recordings are usually corrupted by spurious extra-cerebral artifacts,
which should be rejected or cleaned up by the practitioner. Since manual
screening of human EEGs is inherently error prone and might induce
experimental bias, automatic artifact detection is an issue of importance.
Automatic artifact detection is the best guarantee for objective and clean results.
We present a new approach, based on the time–frequency shape of muscular
artifacts, to achieve reliable and automatic scoring. The impact of muscular
activity on the signal can be evaluated using this methodology by placing
emphasis on the analysis of EEG activity. The method is used to discriminate
evoked potentials from several types of recorded muscular artifacts—with a
sensitivity of 98.8% and a specificity of 92.2%. Automatic cleaning ofEEGdata
are then successfully realized using this method, combined with independent
component analysis. The outcome of the automatic cleaning is then compared
with the Slepian multitaper spectrum based technique introduced by Delorme
et al (2007 Neuroimage 34 1443–9)
Could the 2017 ILAE and the four-dimensional epilepsy classifications be merged to a new "Integrated Epilepsy Classification"?
Over the last few decades the ILAE classifications for seizures and epilepsies (ILAE-EC) have been updated repeatedly to reflect the substantial progress that has been made in diagnosis and understanding of the etiology of epilepsies and seizures and to correct some of the shortcomings of the terminology used by the original taxonomy from the 1980s. However, these proposals have not been universally accepted or used in routine clinical practice. During the same period, a separate classification known as the "Four-dimensional epilepsy classification" (4D-EC) was developed which includes a seizure classification based exclusively on ictal symptomatology, which has been tested and adapted over the years. The extensive arguments for and against these two classification systems made in the past have mainly focused on the shortcomings of each system, presuming that they are incompatible. As a further more detailed discussion of the differences seemed relatively unproductive, we here review and assess the concordance between these two approaches that has evolved over time, to consider whether a classification incorporating the best aspects of the two approaches is feasible. To facilitate further discussion in this direction we outline a concrete proposal showing how such a compromise could be accomplished, the "Integrated Epilepsy Classification". This consists of five categories derived to different degrees from both of the classification systems: 1) a "Headline" summarizing localization and etiology for the less specialized users, 2) "Seizure type(s)", 3) "Epilepsy type" (focal, generalized or unknown allowing to add the epilepsy syndrome if available), 4) "Etiology", and 5) "Comorbidities & patient preferences"
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