8 research outputs found

    ИСПОЛЬЗОВАНИЕ МГНОВЕННОЙ ЧАСТОТЫ РИТМОВ ЭЛЕКТРОЭНЦЕФАЛОГРАММЫ ДЛЯ ОБНАРУЖЕНИЯ СКРЫТОГО ЭПИЛЕПТИФОРМНОГО ПРОЦЕССА

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    The relation between the presence of latent epileptiform process and the change of the instantaneous parameters of the signals of the electroencephalogram is established in the work. The analysis of statistical estimations of instantaneous parameters of signals of multichannel electroencephalogram of healthy subjects and patients with epilepsy is carried out. The most informative frequency range of electroencephalogram rhythms is defined. Information and meaningful statistical evaluation of the instantaneous parameters areproposed. The obtained practical results can be used to create a new method for detecting a hidden epileptiform process.В работе установлена связь между наличием скрытого эпилептиформного процесса и изменением мгновенных параметров сигналов электроэнцефалограммы. Проведен анализ статистических оценок мгновенных параметров сигналов многоканальных электроэнцефалограмм здоровых испытуемых и пациентов с эпилепсией. Определен наиболее информативный частотный диапазон ритмов энцефалограммы, предложены информационно значимые статистические оценки мгновенных параметров. Полученные практические результаты могут быть использованы для создания нового метода обнаружения скрытого эпилептиформного процесса

    The use of the instantaneous frequency of electroencephalogram rhythms for the detection of latent epileptiform process

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    The relation between the presence of latent epileptiform process and the change of the instantaneous parameters of the signals of the electroencephalogram is established in the work. The analysis of statistical estimations of instantaneous parameters of signals of multichannel electroencephalogram of healthy subjects and patients with epilepsy is carried out. The most informative frequency range of electroencephalogram rhythms is defined. Information and meaningful statistical evaluation of the instantaneous parameters areproposed. The obtained practical results can be used to create a new method for detecting a hidden epileptiform process

    The use of the instantaneous frequency of electroencephalogram rhythms for the detection of latent epileptiform process

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    В работе установлена связь между наличием скрытого эпилептиформного процесса и изменением мгновенных параметров сигналов электроэнцефалограммы. Проведен анализ статистических оценок мгновенных параметров сигналов многоканальных электроэнцефалограмм здоровых испытуемых и пациентов с эпилепсией. Определен наиболее информативный частотный диапазон ритмов энцефалограммы, предложены информационно значимые статистические оценки мгновенных параметров. Полученные практические результаты могут быть использованы для создания нового метода обнаружения скрытого эпилептиформного процесса.The relation between the presence of latent epileptiform process and the change of the instantaneous parameters of the signals of the electroencephalogram is established in the work. The analysis of statistical estimations of instantaneous parameters of signals of multichannel electroencephalogram of healthy subjects and patients with epilepsy is carried out. The most informative frequency range of electroencephalogram rhythms is defined. Information and meaningful statistical evaluation of the instantaneous parameters areproposed. The obtained practical results can be used to create a new method for detecting a hidden epileptiform process

    Differential heavy metal tolerance of Arabidopsis halleri and Arabidopsis thaliana: a leaf slice test

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    Cho M, Chardonnens AN, Dietz K-J. Differential heavy metal tolerance of Arabidopsis halleri and Arabidopsis thaliana: a leaf slice test. New Phytologist. 2003;158(2):287-293.Here, a short-term leaf tissue tolerance test was designed to determine the distinct Zn-, Cd- and Ni-tolerance levels for leaves of the Zn-hyperaccumulating plant Arabidopsis halleri compared with Arabidopsis thaliana. Leaf slices were incubated in different metal concentrations for 2 h. Quantum yield of photosystem II was used as a parameter dependent on heavy metal concentrations in the incubation medium. The half effective concentration values (EC50) showed that A. halleri was extremely tolerant to Zn (EC50 » 1 m), whereas A. thaliana had an EC50 of only 2.5 mm. For Cd, the EC50 values were 40 mm and 1.9 mm for A. halleri and A. thaliana, respectively. No differential tolerance was observed for Ni between the two species. Determination of heavy metal uptake by leaf slices under the same conditions revealed decreased uptake rates for A. halleri, suggesting that low metal influx from the apoplast, probably combined with efficient intracellular compartmentation, constitutes the mechanistic basis for Zn- and Cd-hyperaccumulation. It is also shown that pre-exposure of A. halleri with Zn during growth affects tolerance in the subsequent leaf slice test.  The leaf slice test presented here provides a quick and reliable method for estimating heavy metal tolerance levels in individual plants

    Microscopic Cell Nuclei Segmentation Based on Adaptive Attention Window

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    This paper presents an adaptive attention window (AAW)-based microscopic cell nuclei segmentation method. For semantic AAW detection, a luminance map is used to create an initial attention window, which is then reduced close to the size of the real region of interest (ROI) using a quad-tree. The purpose of the AAW is to facilitate background removal and reduce the ROI segmentation processing time. Region segmentation is performed within the AAW, followed by region clustering and removal to produce segmentation of only ROIs. Experimental results demonstrate that the proposed method can efficiently segment one or more ROIs and produce similar segmentation results to human perception. In future work, the proposed method will be used for supporting a region-based medical image retrieval system that can generate a combined feature vector of segmented ROIs based on extraction and patient data

    Phosphorylation of EZH2 Activates STAT3 Signaling via STAT3 Methylation and Promotes Tumorigenicity of Glioblastoma Stem-like Cells

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    Glioblastoma multiforme (GBM) displays cellular hierarchies harboring a subpopulation of stem-like cells (GSCs). Enhancer of Zeste Homo log 2 (EZH2), the lysine methyltransferase of Polycomb repressive complex 2, mediates transcriptional repression of prodifferentiation genes in both normal and neoplastic stem cells. An oncogenic role of EZH2 as a transcriptional silencer is well established; however, additional functions of EZH2 are incompletely understood. Here, we show that EZH2 binds to and methylates STAT3, leading to enhanced STAT3 activity by increased tyrosine phosphorylation of STAT3. The EZH2-STAT3 interaction preferentially occurs in GSCs relative to non-stem bulk tumor cells, and it requires a specific phosphorylation of EZH2. Inhibition of EZH2 reverses the silencing of Polycomb target genes and diminishes STAT3 activity, suggesting therapeutic strategiesclos
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