718 resultados para Krishna gatha.


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Se desarrolla un proyecto de innovación educativa sobre la interpretación global del paisaje del Valle de Laciana teniendo en cuenta el medio natural, la geografía física y humana y el entorno socio cultural en el que esta inmerso. Se trata de obtener una visión global del entorno natural y humano del Valle de Laciana, diferenciando las áreas geomorfológicas correspondientes a la Cordillera Cantábrica y los montes de León. Se realizan excursiones con los alumnos y alumnas para descubrir la fauna y la flora, las características climáticas de la zona, la orografía y los rasgos hídricos. Se pretende que el alumnado de secundaria sea capaz de identificar los espacios agrarios, las actividades económicas del sector secundario y la actividad del sector terciario. El alumnado debe conocer las manifestaciones artísticas representativas de las distintas corrientes populares, la música popular y el folklore. El trabajo proyecto se realiza entre los miembros de los distintos departamentos en función de la especialidad de cada uno de los profesores y profesoras. Se planifican diferentes salidas de campo en función de la estación del año y objetivo que se pretende conseguir, para posteriormente integrar cada parte en el conjunto global del proyecto. El proyecto de innovación finaliza con la creación de un libro en el que se exponen las características del conjunto del Valle de Laciana.

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The time-of-detection method for aural avian point counts is a new method of estimating abundance, allowing for uncertain probability of detection. The method has been specifically designed to allow for variation in singing rates of birds. It involves dividing the time interval of the point count into several subintervals and recording the detection history of the subintervals when each bird sings. The method can be viewed as generating data equivalent to closed capture–recapture information. The method is different from the distance and multiple-observer methods in that it is not required that all the birds sing during the point count. As this method is new and there is some concern as to how well individual birds can be followed, we carried out a field test of the method using simulated known populations of singing birds, using a laptop computer to send signals to audio stations distributed around a point. The system mimics actual aural avian point counts, but also allows us to know the size and spatial distribution of the populations we are sampling. Fifty 8-min point counts (broken into four 2-min intervals) using eight species of birds were simulated. Singing rate of an individual bird of a species was simulated following a Markovian process (singing bouts followed by periods of silence), which we felt was more realistic than a truly random process. The main emphasis of our paper is to compare results from species singing at (high and low) homogenous rates per interval with those singing at (high and low) heterogeneous rates. Population size was estimated accurately for the species simulated, with a high homogeneous probability of singing. Populations of simulated species with lower but homogeneous singing probabilities were somewhat underestimated. Populations of species simulated with heterogeneous singing probabilities were substantially underestimated. Underestimation was caused by both the very low detection probabilities of all distant individuals and by individuals with low singing rates also having very low detection probabilities.

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Activities like the Coupled Model Intercomparison Project (CMIP) have revolutionized climate modelling in terms of our ability to compare models and to process information about climate projections and their uncertainties. The evaluation of models against observations is now considered a key component of multi-model studies. While there are a number of outstanding scientific issues surrounding model evaluation, notably the open question of how to link model performance to future projections, here we highlight a specific but growing problem in model evaluation - that of uncertainties in the observational data that are used to evaluate the models. We highlight the problem using an example obtained from studies of the South Asian Monsoon but we believe the problem is a generic one which arises in many different areas of climate model evaluation and which requires some attention by the community.

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Climate change is increasing night temperature (NT) more than day temperature (DT) in rice-growing areas. Effects of combinations of NT (24-35°C) from microsporogenesis to anthesis at one or more DT (30 or 35°C) at anthesis on rice spikelet fertility, temperature within spikelets, flowering pattern, grain weight per panicle, amylose content and gel consistency were investigated in contrasting rice cultivars under controlled environments. Cultivars differed in spikelet fertility response to high NT, with higher fertility associated with cooler spikelets (P < 0.01). Flowering dynamics were altered by high NT and a novel high temperature tolerance complementary mechanism, shorter flower open duration in cv. N22, was identified. High NT reduced spikelet fertility, grain weight per panicle, amylose content and gel consistency, whereas high DT reduced only gel consistency. Night temperature >27°C was estimated to reduce grain weight. Generally, high NT was more damaging to grain weight and selected grain quality traits than high DT, with little or no interaction between them. The critical tolerance and escape traits identified, i.e. spikelet cooling, relatively high spikelet fertility, earlier start and peak time of anthesis and shorter spikelet anthesis duration can aid plant breeding programs targeting resilience in warmer climates.

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Resilience of rice cropping systems to potential global climate change will partly depend on temperature tolerance of pollen germination (PG) and tube growth (PTG). Germination of pollen of high temperature susceptible Oryza glaberrima Steud. (cv. CG14) and O. sativa L. ssp. indica (cv. IR64) and high temperature tolerant O. sativa ssp. aus (cv. N22), was assessed on a 5.6-45.4°C temperature gradient system. Mean maximum PG was 85% at 27°C with 1488 μm PTG at 25°C. The hypothesis that in each pollen grain, minimum temperature requirements (Tn) and maximum temperature limits (Tx) for germination operate independently was accepted by comparing multiplicative and subtractive probability models. The maximum temperature limit for PG in 50% of grains (Tx(50)) was lowest (29.8°C) in IR64 compared with CG14 (34.3°C) and N22 (35.6°C). Standard deviation (sx) of Tx was also low in IR64 (2.3°C) suggesting that the mechanism of IR64's susceptibility to high temperatures may relate to PG. Optimum germination temperatures and thermal times for 1mm PTG were not linked to tolerating high temperatures at anthesis. However, the parameters Tx(50) and sx in the germination model define new pragmatic criteria for successful and resilient PG, preferable to the more traditional cardinal (maximum and minimum) temperatures.

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Messaging middleware provides asynchronous communication between services in distributed environments. However, security, reliability and performance issues compel such middleware to be distributed, and distribution throws up its own problems such as identifying messaging channels which could then be subscribed to. In particular, interested parties need to identify channels defined in remote locations while not knowing details of how they are defined. A common vocabulary using semantic descriptions offers a solution to this problem. In this paper, we describe the design and implementation of federated messaging middleware using semantic description of channels.

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The notification service is the part of myGrid that enables asynchronous delivery of messages between distributed components. It includes features such as topic-based publish-subscribe messaging, push/pull models, asynchronous delivery, persistence, transient and durable subscriptions, durable topics, negotiation of QoS, hierarchical topic structure and federation of services. Some of these features are novel in the area of messaging middleware. A cost evaluation of some of these features indicate that the overhead incurred is justified in terms of compensating benefits gained.

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A longitudinal analysis of computer usage by commencing students in Deakin University’s undergraduate engineering and technology programs over the period 1998 to 2001 revealed that; access to computers was at high levels; mean computer usage for off-campus students had not changed
significantly, but had risen significantly for on-campus students; while access to the Internet / WWW had not increased significantly, reported regular use of the Internet / WWW had risen significantly; while most students continued to report their source of Internet / WWW access as either Home or University, the proportion reporting Home as their source of access had risen significantly; and the reported regular use of e-mail rose significantly.

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Burnishing is a surface modification process, which involves plastic deformation of the material at the surface of the component due to the application a highly polished and hard roller, under pressure. This results in the improvement of the surface finish of the component and induces residual compressive stresses on the surface of the component. The present work deals with the optimization of the burnishing force for the best surface finish, at constant speed and feed, for Aluminium and Mild steel workpieces. A 3dimensional finite element model is proposed for the simulation of the burnishing process, and the analysis is carried out at the optimum force determined experimentally. The induced compressive stress in the components is determined from the finite element analysis and this value is then compared with the results obtained from X-ray diffraction technique.

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The thesis investigated the socio-theological complexity of medieval Gaudiya Vaisnavism and its current development, the Hare Krishna Movement. The study was simultaneously critical and emic. It (1) uncovered medieval concepts not found in contemporary literature; and, (2) developed pathways through which religion can be sociologically and psychologically elucidated and clarified.

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One set of composite laminates was manufactured from bi-directional carbon fibre woven cloth pre-impregnated with epoxy resin and used to establish experimental techniques. Another, similar set was used for extensive data collection. One other set of laminates, manufactured from uni-directional carbon fibre, was also subjected to extensive tests to represent a different material. The results give the pre and post characterizations of repaired composite materials; outlining at each stage the losses and gains of structural strength and stiffness and discusses the difficulties experienced.

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This paper questions the influence of a pre-existing information technology (IT) infrastructure on the formulation of an organizational knowledge strategy. We draw on a classification of four different strategic views of IT infrastructure and explore how the historic investment in IT infrastructure enables and constrains the formulation of knowledge strategy in four case organizations. The four case organizations are representative of different scenarios of historic investments in IT infrastructure and knowledge strategy formulation. Our findings indicate that an IT infrastructure that is minimal or fragmented constrains the formulation of an explicit knowledge strategy. We further find that an extensive existing IT infrastructure enables the pursuit of an explicit knowledge strategy, but that even an elaborate IT infrastructure can introduce some constraints on IT facilitated knowledge processes in the organization.

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This paper reports on results from an ongoing study of the information infrastructure support for organizational knowledge strategy. We assess the applicability and predictions of the widely cited model of Hansen, Nohria and Tierney’s on knowledge strategy and infrastructure support. We do so by means of two case studies that we conducted in the consulting sector. Our findings indicate support for the Hansen et al.’s model as each of the organizations has predominately pursued a knowledge strategy consistent with the model’s predictions. However, we also find that in so doing, organizations can incur significant opportunity costs if either a codification or a personalization knowledge strategy is allowed to predominate to such an extent that it crowds-out the alternative knowledge strategy.