934 resultados para RICH detectors
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Concert Program
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Nicaragua importa semilla de pasto con el objetivo de resolver la baja productividad y calidad del pasto. Las especies Brachiaria brizantha y Panicum maximun, son las semilla de pasto de mayor importación en nuestro país, siendo Brasil el país de donde más importamos. Basados en que existen algunas plagas en Brasil que no existen en Nicaragua, se procedió a realizar un análisis de riesgo de plaga, el cual es una herramienta que permite evaluar la entrada, establecimiento, dispersión y manejo del riesgo de la plaga. Las etapas del análisis de riesgo de plaga; se realizó con la recopilación y análisis de información clave de fuente primaria y secundaria como son la lista de plagas asociadas al cultivo de pasto de Brasil, lista oficial de plagas asociadas al cultivo pasto en Nicaragua, diagnóstico fitosanitario en plantaciones de pasto B. brizantha en Nicaragua y los resultados de laboratorio de las semilla de pasto de origen Brasil que ingresaron por el país en el 2014. Este estudio se realizó en un período de 12 meses de Enero a Diciembre del 2014, en la Región Autónoma del Caribe Sur (RACS), en el municipio de El Rama y dos departamentos Chontales y Rio San Juan en los municipios de La Gateada y San Miguelito respectivamente, ya que son representativos, son las zonas de mayor producción de pasto, y en los doce puesto de cuarentena agropecuaria del territorio nacional, El Guasaule, Puerto Corinto, Aduana Central Aérea, Las Manos, El Espino, Peñas Blancas, Teotecacinte, Aeropuerto Internacional Augusto César Sandino, El Rama, El Bluff, San Carlos y San Juan de Nicaragua, que es donde ingresan las importaciones de semilla de pasto de origen Brasil. El muestreo fue al azar, tanto para el diagnóstico fitosanitario como para las importaciones de semilla de pasto de origen Brasil, tomando muestras para ser analizadas en los laboratorios de herbología, entomología, micología, bacteriología y nematología. El diagnóstico fitosanitario, permitió corroborar la presencia de plagas mencionadas en la lista oficial de plagas asociadas al cultivo pasto en Nicaragua y descartar presencias de plagas cuarentenarias en los pasto de nuestro país. En las semilla de pasto importadas de Brasil, se determino la presencia de plagas de interés cuarentenario como son la maleza Commelina benghalensis y nemátodo de punta blanca Aphelenchoides besseyi. En el análisis de riesgo de plaga, se identificaron siete plagas de interés cuarentenario para la especie B. brizantha y noventa y uno plagas para la especie P. maximun, al evaluar cada plaga por la posibilidad de seguir la vía de entrada, se determinaron dos plagas de importancia cuarentenarias para el área del análisis de riesgo de plagas, como son la maleza Commelina benghalensis L. y nemátodo de punta blanca Aphelenchoides besseyi Ch., ya que son plagas consideradas de alto riesgo fitosanitario debido a la posibilidades de sobrevivir, multiplicarse y diseminarse en el ambiente de Nicaragua una vez introducida en nuevas aéreas establecidas, de acuerdo a la evaluación del riesgo de establecimiento y dispersión; es por eso que en ambas plagas se determinaron las opciones del manejo del riesgo para disminuir a niveles adecuados los riesgo de dichas plagas para nuestro país.
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Effects of a remarkably high overall lipid Tisochrysis lutea strain (T+) upon gross biochemical composition, fatty acid (FA), sterol and lipid class composition of Crassostrea gigas larvae were evaluated and compared with a normal strain of Tisochrysis lutea (T) and the diatom Chaetoceros neogracile (Cg). In a first experiment, the influence of different single diets (T, T+ and Cg) and a bispecific diet (TCg) was studied, whereas, effects of monospecific diets (T and T+) and bispecific diets (TCg and T+Cg) were evaluated in a second experiment. The strain T+ was very rich in triglycerides (TAG: 93–95% of total neutral lipids), saturated FA (45%), monounsaturated FA (31–33%) and total fatty acids (4.0–4.7 pg cell−1). Larval oyster survival and growth rate were positively correlated with 18:1n-7 and 20:1n-7, in storage lipids (SL), and negatively related to 14:0, 18:1n-9, 20:1n-9, 20:4n-6 and trans-22-dehydrocholesterol in membrane lipids (ML). Surprisingly, only the essential fatty acid 20:5n-3 in SL was correlated positively with larval survival. Correlations suggest that physiological disruption by overabundance of TAG, FFA and certain fatty acids in larvae fed T+ was largely responsible for the poor performance of these larvae. ‘High-lipid’ strains of microalgae, without regard to qualitative lipid composition, do not always improve bivalve larval performance.
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Numerous applications within the mid- and long-wavelength infrared are driving the search for efficient and cost effective detection technologies in this regime. Theoretical calculations have predicted high performance for InAs/GaSb type-II superlattice structures, which rely on mature growth of III-V semiconductors and offer many levels of freedom in design due to band structure engineering. This work focuses on the fabrication and characterization of type-II superlattice infrared detectors. Standard UV-based photolithography was used combined with chemical wet or dry etching techniques in order to fabricate antinomy-based type-II superlattice infrared detectors. Subsequently, Fourier transform infrared spectroscopy and radiometric techniques were applied for optical characterization in order to obtain a detector's spectrum and response, as well as the overall detectivity in combination with electrical characterization. Temperature dependent electrical characterization was used to extract information about the limiting dark current processes. This work resulted in the first demonstration of an InAs/GaSb type-II superlattice infrared photodetector grown by metalorganic chemical vapor deposition. A peak detectivity of 1.6x10^9 Jones at 78 K was achieved for this device with a 11 micrometer zero cutoff wavelength. Furthermore the interband tunneling detector designed for the mid-wavelength infrared regime was studied. Similar results to those previously published were obtained.
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Increasing the size of training data in many computer vision tasks has shown to be very effective. Using large scale image datasets (e.g. ImageNet) with simple learning techniques (e.g. linear classifiers) one can achieve state-of-the-art performance in object recognition compared to sophisticated learning techniques on smaller image sets. Semantic search on visual data has become very popular. There are billions of images on the internet and the number is increasing every day. Dealing with large scale image sets is intense per se. They take a significant amount of memory that makes it impossible to process the images with complex algorithms on single CPU machines. Finding an efficient image representation can be a key to attack this problem. A representation being efficient is not enough for image understanding. It should be comprehensive and rich in carrying semantic information. In this proposal we develop an approach to computing binary codes that provide a rich and efficient image representation. We demonstrate several tasks in which binary features can be very effective. We show how binary features can speed up large scale image classification. We present learning techniques to learn the binary features from supervised image set (With different types of semantic supervision; class labels, textual descriptions). We propose several problems that are very important in finding and using efficient image representation.
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The most promising concept for low frequency (millihertz to hertz) gravitational wave observatories are laser interferometric detectors in space. It is usually assumed that the noise floor for such a detector is dominated by optical shot noise in the signal readout. For this to be true, a careful balance of mission parameters is crucial to keep all other parasitic disturbances below shot noise. We developed a web application that uses over 30 input parameters and considers many important technical noise sources and noise suppression techniques to derive a realistic position noise budget. It optimizes free parameters automatically and generates a detailed report on all individual noise contributions. Thus one can easily explore the entire parameter space and design a realistic gravitational wave observatory. In this document we describe the different parameters, present all underlying calculations, and compare the final observatory's sensitivity with astrophysical sources of gravitational waves. We use as an example parameters currently assumed to be likely applied to a space mission proposed to be launched in 2034 by the European Space Agency. The web application itself is publicly available on the Internet at http://spacegravity.org/designer. Future versions of the web application will incorporate the frequency dependence of different noise sources and include a more detailed model of the observatory's residual acceleration noise.
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An initial laboratory-scale evaluation of separation characteristics of membranes with nominal molecular weight cut-offs (NMWCO) ranging from 30 kD down to 0.5 kD indicated effective separation of betalains in the 0.5 kD region. Subsequent pilot-level trials using 1 kD, loose reverse osmosis (LRO) and reverse osmosis (RO) spiral-wound membranes showed LRO membrane to be very efficient with up to 96% salt and 47% other dissolved solids removed while retaining majority of the pigment (∼98%) in the betalain rich extract (BRE). The total betalain content in the BRE increased up to 46%, the highest recovery reported so far at pilot scale level. Interestingly, more than 95% of the nitrates were removed from the BRE after the three diafiltrations. These studies indicate that membrane technology is the most efficient technique to produce BRE with highly reduced amounts of salts and nitrate content.