Simultaneous Drying and Separation of Composite Agricultural Material for Hay Processing

In composite agricultural materials such as grass, tee, medicinal plants; leaves and stems have a different drying time. By this behavior, after leaving the dryer, the stems may have greater moisture content than desired, while the leaves one minor, which can cause either the appearance of fungi or the collapse of the over-dried material. Taking into account that a lot of grass is dehydrated in forced air dryers, especially rotary drum dryers, this research was developed in order to establish conditions enabling to make a separation of the components during the drying process in order to provide a homogeneous product at the end. For this, a rotary dryer consisting of three concentric cylinders and a circular sieve aligned with the more internal cylinder was proposed; so that, once material enters into the dryer in the area of the inner cylinder, stems pass through sieve to the middle and then continue towards the external cylinder, while the leaves continue by the inner cylinder. For this project, a mixture of Ryegrass and White Clover was used. The characteristics of the components of a mixture were: Drying Rate in thin layer and in rotation, Bulk density, Projected Area, Terminal velocity, weight/Area Ratio, Flux through Rotary sieve. Three drying temperatures; 40°C, 60° C and 80° C, and three rotation speeds; 10 rpm, 20 rpm and 40 rpm were evaluated. It was found that the differences in drying time are the less at 80 °C when the dryer rotates at 40 rpm. Above this speed, the material adheres to the walls of the dryer or sieve and does not flow. According to the measurements of terminal velocity of stems and leaves of the components of the mixture, the speed of the air should be less than 1.5 m s-1 in the inner drum for the leaves and less than 4.5 m s-1 in middle and outer drums for stems, in such way that only the rotational movement of the dryer moves the material and achieves a greater residence time. In other hand, the best rotary sieve separation efficiencies were achieved when the material is dry, but the results are good in all the moisture contents. The best rotary speed of sieve is within the critical rotational speed, i.e. 20 rpm. However, the rotational speed of the dryer, including the sieve in line with the inner cylinder should be 10 rpm or less in order to achieve the greatest residence times of the material inside the dryer and the best agitation through the use of lifting flights. With a finite element analysis of a dryer prototype, using an air flow allowing speeds of air already stated, I was found that the best performance occurs when, through a cover, air enters the dryer front of the Middle cylinder and when the inner cylinder is formed in its entirety through a sieve. This way, air flows in almost equal amounts by both the middle and external cylinders, while part of the air in the Middle cylinder passes through the sieve towards the inner cylinder. With this, leaves do not adhere to the sieve and flow along drier, thanks to the rotating movement of the drums and the showering caused by the lifting flights. In these conditions, the differences in drying time are reduced to 60 minutes, but the residence time is higher for the stems than for leaves, therefore the components of the mixture of grass run out of the dryer with the same desired moisture content.

Refinement criteria for global illumination using convex funcions

In several computer graphics areas, a refinement criterion is often needed to decide whether to go on or to stop sampling a signal. When the sampled values are homogeneous enough, we assume that they represent the signal fairly well and we do not need further refinement, otherwise more samples are required, possibly with adaptive subdivision of the domain. For this purpose, a criterion which is very sensitive to variability is necessary. In this paper, we present a family of discrimination measures, the f-divergences, meeting this requirement. These convex functions have been well studied and successfully applied to image processing and several areas of engineering. Two applications to global illumination are shown: oracles for hierarchical radiosity and criteria for adaptive refinement in ray-tracing. We obtain significantly better results than with classic criteria, showing that f-divergences are worth further investigation in computer graphics. Also a discrimination measure based on entropy of the samples for refinement in ray-tracing is introduced. The recursive decomposition of entropy provides us with a natural method to deal with the adaptive subdivision of the sampling region

Perfil neuropsicológico de personas adultas con VIH/SIDA

Los déficit neurológicos en el virus de inmunodeficiencia humana VIH, específicamente las alteraciones en el funcionamiento cognitivo, han estado presentes desde el inicio de su propagación y han sido una de las principales manifestaciones a lo largo de todas las etapas del virus. No obstante, gracias a los avances de la terapia antirretroviral se ha dado un aumento de la expectativa de vida de los pacientes, dándose de la misma manera un incremento en los déficits anteriormente mencionados. El objetivo del presente estudio es describir el perfil neuropsicológico de los pacientes con VIH y establecer si existen relaciones entre las funciones que se encuentren deterioradas, el tiempo de diagnóstico y la terapia antiretroviral. Para esto se llevo a cabo un estudio descriptivo de tipo exploratorio con el fin de medir las características de las funciones neuropsicológicas en un grupo de 24 pacientes pertenecientes al programa especial B24 del Hospital Universitario Mayor y Hospital de Barrios Unidos MÉDERI en Bogotá, Colombia. Para esto, se utilizó un protocolo de pruebas neuropsicológicas: Mini Mental StateExamination (MMSE), WAIS-III (sub-pruebas dígitos, letras y números, aritmética y semejanzas), Curva de aprendizaje auditivo verbal de Rey (RAVLT), WMS-III (sub-pruebas de recobro de historias y Localización), TMT A y B, Set Test de Isaacs, Figura Compleja de Rey y Test de Stroop. Dentro de los resultados se encontró que la medida de edad fue de 50 con un total de 19 hombres y 5 mujeres. Las funciones con mayor predominio de deterioro fueron la atención sostenida y alternante, la memoria declarativa, las funciones ejecutivas (específicamente en el control inhibitorio) y la velocidad de procesamiento, los pacientes presentan un rango de deterioro cognitivo leve (GDS 3). Se concluyó que el perfil de deterioro es mixto y que es necesario ampliar la muestra para obtener resultados más precisos en cuanto a las diferencias de acuerdo al tiempo de diagnóstico y la terapia antiretroviral.

Identificación y descripción de las características de un líder global

El liderazgo ha sido definido de diferentes maneras por cientos de autores debido al contexto en el que estudian este concepto. Ninguna de estas definiciones es errónea pero algunas han tomado mayor importancia debido a los diferentes factores que enfrenta la sociedad. Desde hace unos años los países se han abierto a diferentes mercados lo cual les ha permitido eliminar las barreras políticas, económicas y culturales existentes. Esto ha llevado a que los líderes deban evaluar la nueva forma de dirigir y direccionar las organizaciones. Este es tan solo uno de los ejemplos que han llevado a modificar el concepto de liderazgo, añadiendo los nuevos retos a los que se ven enfrentados los líderes. En este trabajo de grado se estudia el que se considera uno de los mayores retos de los siglos XX y XXI: la globalización. Este fenómeno ha acercado al mundo a través del intercambio de información, de bienes, de servicios, de conocimientos y sobre todo de cultura. Esto se ha logrado a través de nuevas tecnologías, nuevos servicios de comunicación y transporte, de la ciencia y los avances de la industria. El nuevo líder debe romper la barrera nacional y abrirse a mercados extranjeros, para esto debe contar con ciertas características que le permitirán entender los diferentes mercados y a las personas que se encuentran en este. En este trabajo se identifican las que se consideran las principales características de un líder global; estas son el resultado de la investigación de diferentes autores y estudios.

A Monte Carlo method for accelerating the computation of animated radiosity sequences

Realistic rendering animation is known to be an expensive processing task when physically-based global illumination methods are used in order to improve illumination details. This paper presents an acceleration technique to compute animations in radiosity environments. The technique is based on an interpolated approach that exploits temporal coherence in radiosity. A fast global Monte Carlo pre-processing step is introduced to the whole computation of the animated sequence to select important frames. These are fully computed and used as a base for the interpolation of all the sequence. The approach is completely view-independent. Once the illumination is computed, it can be visualized by any animated camera. Results present significant high speed-ups showing that the technique could be an interesting alternative to deterministic methods for computing non-interactive radiosity animations for moderately complex scenarios

Banco de Leite Humano : Visão Global e Procedimento de Trabalho : Hospital Universitário Virgen de las Nieves, Granada

Várias evidências científicas têm mostrado consistentemente que o leite materno é o melhor alimento para os bebés sendo altamente benéfico para sua saúde a curto, médio e longo prazo. É recomendado às mulheres que amamentem o seu bebé exclusivamente por 6 meses e continuem a amamentar após os 6 meses, como parte de uma dieta equilibrada. Em casos em que, por qualquer motivo, a mãe não produz quantidade suficiente de leite, o bebé seja prematuro ou tenha alguma patologia, o leite materno doado pode ser a alternativa mais benéfica. Este trabalho tem por objetivo analisar a realidade dos bancos de leite doado em Portugal e no resto do mundo, bem como descrever o seu funcionamento desde a chegada do leite ao banco até à dispensa. Assim, para além do trabalho diário no banco de leite do Hospital Universitario Virgen de las Nieves em Granada, estudou-se o funcionamento de outros bancos de leite no mundo, incluindo Portugal, com o objetivo de comparar técnicas, procedimentos, e propor melhoramentos no processamento do leite materno doado. Com este estudo, foi possível concluir sobre a relevância nutricional e imunológica do Leite Humano Doado (LHD). Verificando-se que em casos de impossibilidade de a mãe amamentar, esta será a melhor opção de alimentação para bebés prematuros e/ou com muito baixo peso ao nascer. Quanto ao procedimento nos Bancos de Leite Humano (BLH), conclui-se que são necessários mais estudos e mais formação dos profissionais de saúde de forma a melhorar a qualidade do LHD bem como reduzir os riscos de infeção.

Global hydrology modelling and uncertainty: running multiple ensembles with a campus grid.

Uncertainties associated with the representation of various physical processes in global climate models (GCMs) mean that, when projections from GCMs are used in climate change impact studies, the uncertainty propagates through to the impact estimates. A complete treatment of this ‘climate model structural uncertainty’ is necessary so that decision-makers are presented with an uncertainty range around the impact estimates. This uncertainty is often underexplored owing to the human and computer processing time required to perform the numerous simulations. Here, we present a 189-member ensemble of global river runoff and water resource stress simulations that adequately address this uncertainty. Following several adaptations and modifications, the ensemble creation time has been reduced from 750 h on a typical single-processor personal computer to 9 h of high-throughput computing on the University of Reading Campus Grid. Here, we outline the changes that had to be made to the hydrological impacts model and to the Campus Grid, and present the main results. We show that, although there is considerable uncertainty in both the magnitude and the sign of regional runoff changes across different GCMs with climate change, there is much less uncertainty in runoff changes for regions that experience large runoff increases (e.g. the high northern latitudes and Central Asia) and large runoff decreases (e.g. the Mediterranean). Furthermore, there is consensus that the percentage of the global population at risk to water resource stress will increase with climate change.

A global climatology of wind–wave interaction

Generally, ocean waves are thought to act as a drag on the surface wind so that momentum is transferred downwards, from the atmosphere into the waves. Recent observations have suggested that when long wavelength waves, characteristic of remotely generated swell, propagate faster than the surface wind momentum can also be transferred upwards. This upward momentum transfer acts to accelerate the near-surface wind, resulting in a low-level wave-driven wind jet. Previous studies have suggested that the sign reversal of the momentum flux is well predicted by the inverse wave age, the ratio of the surface wind speed to the speed of the waves at the peak of the spectrum. ECMWF ERA-40 data has been used here to calculate the global distribution of the inverse wave age to determine whether there are regions of the ocean that are usually in the wind-driven wave regime and others that are generally in the wave-driven wind regime. The wind-driven wave regime is found to occur most often in the mid-latitude storm tracks where wind speeds are generally high. The wave-driven wind regime is found to be prevalent in the tropics where wind speeds are generally light and swell can propagate from storms at higher latitudes. The inverse wave age is also a useful indicator of the degree of coupling between the local wind and wave fields. The climatologies presented emphasise the non-equilibrium that exists between the local wind and wave fields and highlight the importance of swell in the global oceans.

Unifying syntactic theory and sentence processing difficulty through a connectionist minimalist parser

Syntactic theory provides a rich array of representational assumptions about linguistic knowledge and processes. Such detailed and independently motivated constraints on grammatical knowledge ought to play a role in sentence comprehension. However most grammar-based explanations of processing difficulty in the literature have attempted to use grammatical representations and processes per se to explain processing difficulty. They did not take into account that the description of higher cognition in mind and brain encompasses two levels: on the one hand, at the macrolevel, symbolic computation is performed, and on the other hand, at the microlevel, computation is achieved through processes within a dynamical system. One critical question is therefore how linguistic theory and dynamical systems can be unified to provide an explanation for processing effects. Here, we present such a unification for a particular account to syntactic theory: namely a parser for Stabler's Minimalist Grammars, in the framework of Smolensky's Integrated Connectionist/Symbolic architectures. In simulations we demonstrate that the connectionist minimalist parser produces predictions which mirror global empirical findings from psycholinguistic research.

Linear hashtable motion estimation algorithm for distributed video processing

This paper presents a parallel Linear Hashtable Motion Estimation Algorithm (LHMEA). Most parallel video compression algorithms focus on Group of Picture (GOP). Based on LHMEA we proposed earlier [1][2], we developed a parallel motion estimation algorithm focus inside of frame. We divide each reference frames into equally sized regions. These regions are going to be processed in parallel to increase the encoding speed significantly. The theory and practice speed up of parallel LHMEA according to the number of PCs in the cluster are compared and discussed. Motion Vectors (MV) are generated from the first-pass LHMEA and used as predictors for second-pass Hexagonal Search (HEXBS) motion estimation, which only searches a small number of Macroblocks (MBs). We evaluated distributed parallel implementation of LHMEA of TPA for real time video compression.

Adaptive least mean square CDMA detection with Gram–Schmidt pre-processing

The Gram-Schmidt (GS) orthogonalisation procedure has been used to improve the convergence speed of least mean square (LMS) adaptive code-division multiple-access (CDMA) detectors. However, this algorithm updates two sets of parameters, namely the GS transform coefficients and the tap weights, simultaneously. Because of the additional adaptation noise introduced by the former, it is impossible to achieve the same performance as the ideal orthogonalised LMS filter, unlike the result implied in an earlier paper. The authors provide a lower bound on the minimum achievable mean squared error (MSE) as a function of the forgetting factor λ used in finding the GS transform coefficients, and propose a variable-λ algorithm to balance the conflicting requirements of good tracking and low misadjustment.

Neural network based control in food processing

A number of commonly encountered simple neural network types are discussed, with particular attention being paid to their applicability in automation and control when applied to food processing. In the first instance n-tuple networks are considered, these being particularly useful for high speed production checking operations. Subsequently backpropagation networks are discussed, these being useful both in a more familiar feedback control arrangement and also for such things as recipe prediction.

Fully automated software solution for protein quantitation by global metabolic labeling with stable isotopes

Metabolic stable isotope labeling is increasingly employed for accurate protein (and metabolite) quantitation using mass spectrometry (MS). It provides sample-specific isotopologues that can be used to facilitate comparative analysis of two or more samples. Stable Isotope Labeling by Amino acids in Cell culture (SILAC) has been used for almost a decade in proteomic research and analytical software solutions have been established that provide an easy and integrated workflow for elucidating sample abundance ratios for most MS data formats. While SILAC is a discrete labeling method using specific amino acids, global metabolic stable isotope labeling using isotopes such as (15)N labels the entire element content of the sample, i.e. for (15)N the entire peptide backbone in addition to all nitrogen-containing side chains. Although global metabolic labeling can deliver advantages with regard to isotope incorporation and costs, the requirements for data analysis are more demanding because, for instance for polypeptides, the mass difference introduced by the label depends on the amino acid composition. Consequently, there has been less progress on the automation of the data processing and mining steps for this type of protein quantitation. Here, we present a new integrated software solution for the quantitative analysis of protein expression in differential samples and show the benefits of high-resolution MS data in quantitative proteomic analyses.