999 resultados para meiosis block


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Figure. In two new complexes of Mn(II) and Zn(II), it has been observed that carboxylate (O)...π interactions played a crucial role in the organization of supramolecular structure and that carboxylate (O)...π interactions also somehow controlled by the C-H...π interactions, which is achieved by proper modulation of the linkers.

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The purpose of this project is to develop a three-dimensional block model for a garnet deposit in the Alder Gulch, Madison County, Montana. Garnets occur in pre-Cambrian metamorphic Red Wash gneiss and similar rocks in the vicinity. This project seeks to model the percentage of garnet in a deposit called the Section 25 deposit using the Surpac software. Data available for this work are drillhole, trench and grab sample data obtained from previous exploration of the deposit. The creation of the block model involves validating the data, creating composites of assayed garnet percentages and conducting basic statistics on composites using Surpac statistical tools. Variogram analysis will be conducted on composites to quantify the continuity of the garnet mineralization. A three-dimensional block model will be created and filled with estimates of garnet percentage using different methods of reserve estimation and the results compared.

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The conjugate gradient is the most popular optimization method for solving large systems of linear equations. In a system identification problem, for example, where very large impulse response is involved, it is necessary to apply a particular strategy which diminishes the delay, while improving the convergence time. In this paper we propose a new scheme which combines frequency-domain adaptive filtering with a conjugate gradient technique in order to solve a high order multichannel adaptive filter, while being delayless and guaranteeing a very short convergence time.

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SIN FINANCIACIÓN

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Data are lacking on the characteristics of atrial activity in centenarians, including interatrial block (IAB). The aim of this study was to describe the prevalence of IAB and auricular arrhythmias in subjects older than 100 years and to elucidate their clinical implications. We studied 80 centenarians (mean age 101.4 ± 1.5 years; 21 men) with follow-ups of 6–34 months. Of these 80 centenarians, 71 subjects (88.8%) underwent echocardiography. The control group comprised 269 septuagenarians. A total of 23 subjects (28.8%) had normal P wave, 16 (20%) had partial IAB, 21 (26%) had advanced IAB, and 20 (25.0%) had atrial fibrillation/flutter. The IAB groups exhibited premature atrial beats more frequently than did the normal P wave group (35.1% vs 17.4%; P < .001); also, other measurements in the IAB groups frequently fell between values observed in the normal P wave and the atrial fibrillation/flutter groups. These measurements included sex preponderance, mental status and dementia, perceived health status, significant mitral regurgitation, and mortality. The IAB group had a higher previous stroke rate (24.3%) than did other groups. Compared with septuagenarians, centenarians less frequently presented a normal P wave (28.8% vs 53.5%) and more frequently presented advanced IAB (26.3% vs 8.2%), atrial fibrillation/flutter (25.0% vs 10.0%), and premature atrial beats (28.3 vs 7.0%) (P < .01). Relatively few centenarians (<30%) had a normal P wave, and nearly half had IAB. Our data suggested that IAB, particularly advanced IAB, is a pre–atrial fibrillation condition associated with premature atrial beats. Atrial arrhythmias and IAB occurred more frequently in centenarians than in septuagenarians.

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Graph-based anomaly detection plays a vital role in various application domains such as network intrusion detection, social network analysis and road traffic monitoring. Although these evolving networks impose a curse of dimensionality on the learning models, they usually contain structural properties that anomaly detection schemes can exploit. The major challenge is finding a feature extraction technique that preserves graph structure while balancing the accuracy of the model against its scalability. We propose the use of a scalable technique known as random projection as a method for structure aware embedding, which extracts relational properties of the network, and present an analytical proof of this claim. We also analyze the effect of embedding on the accuracy of one-class support vector machines for anomaly detection on real and synthetic datasets. We demonstrate that the embedding can be effective in terms of scalability without detrimental influence on the accuracy of the learned model.

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The South Carolina General Assembly created the South Carolina Community Block Grant for Education Pilot Program by Proviso 1.94 in the 2014-15 General Appropriation Act. The intent of the proviso is to encourage public school districts and district entrepreneurial public educators to undertake state-of-the-art initiatives to improve student learning and to share the results with the state’s public education community. Although community partnerships were the focus of the grant, school districts were the lead agencies on the grant were directed by proviso to provide reports, summaries and items for the evaluation component of the grant. Through this proviso, one million dollars was allocated for the block grants with direct allocations to school districts. One hundred percent of the funds were allocated to school districts. No grant award was to exceed $250,000 annually unless the grants committee found that exceptional circumstances warranted exceeding this amount.

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The South Carolina General Assembly created the South Carolina Community Block Grant for Education Pilot Program by Proviso 1.94 in the 2014-15 General Appropriation Act. The purpose of the proviso was to encourage and sustain partnerships between a community and its public school district for the implementation of innovative, state-of-the-art education initiatives and models to improve learning. Any public school, including a charter school, was eligible to submit a grant application. The proviso asserts that the success of the grant program is best served when there is vigorous community support, which is integral to the development and implementation on innovative initiatives for young people. Through this proviso, one million dollars was allocated for the block grants with direct allocations to school districts. Grants awarded were to be implemented for a period of one year beginning July 1, 2015 until June 30, 2016.

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There is a significant attitude of scepticism when it comes to belief in the existence of writer's block as a valid psychological phenomenon, alongside what might be described as the "Tortured Artist Personality". It is contended here that both writer's block and the "Tortured Artist Personality" do exist in a minority of professional and aspiring fiction writers, and furthermore that these phenomena are forms of personality behaviour that have already been well-catalogued by the academic fields of psychiatry, psychology and psychotherapy: specifically, writer's block is a form of unconscious maladaptive procrastination - expressed through avoidance coping or escape coping behaviour - which in turn arises from the fully-accepted personality trait of perfectionism. Aspects of perfectionism, together with various sub-scale traits and mediators, are also the key components in at least one form of "Tortured Artist Personality". This paper lays out the extensive evidence for these assertions, using existing research in the fields of psychology, psychiatry, psychotherapy and neuroscience.