35 resultados para Algebraic fields


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Learning is an investment in capacity building that has and will continue to reap rewards for primary producers and government in terms of increased sustainable production, profitability, exports, jobs and sustainable rural communities. Primary production operates in a context of continual change and requires up to date, complex and varied skills of primary producers and land managers.

A recent national research project funded by the Department of Agriculture, Forestry and Fisheries Australia confirmed that application of best practice from the theory of adult education in designing and developing learning programs in primary industry results in learning activities that provide information that is relevant to farmers’ needs, delivered in an entertaining way, and that draws on examples directly relevant to the participants. As a result, the training often exceeds the expectations of the participants.

The project produced a self-assessment checklist to identify ways of improving the development and delivery of training for extension practitioners and training providers. The key issues include continuous monitoring of client’s needs, and actively seeking opportunities to meet and work with industry organisations, other training providers and funding bodies.

There appear to be two drivers for the development of learning programs. One is problems or opportunities identified by people and organisations that could be termed ‘scanners’ and who tend not to be potential participants, the other is learning needs expressed by individuals or enterprises who want to participate in learning activities (participants). Scanners are typically industry organisations, government agencies and researchers, but may include providers and participants. Extension practitioners are well-placed to act as scanners.

It is very important that farmers and farmer organisations contribute to the development of new learning programs. Without industry input and support, extension practitioners and training providers cannot be expected to ensure they meet client needs. In other words, to develop effective learning programs, there must an industry learning community of producers, industry organisations, extension practitioners and training providers and other stakeholders such as supply chain enterprises, government and researchers.

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We study the set of invariants CZ [E. Zakhary and J. Carminati, J. Math. Phys. 42, 1474 (2001)] for the class of space-times whose Ricci tensors do not possess a null eigenvector. We show that all cases are completely backsolvable in terms of sets of invariants from CZ. We provide algebraically complete sets for each canonically different space-time.

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The argument developed in this paper is that a focus on practice provides some resolutions to methodological problems facing Bourdieuian scholarship in education. In order to develop Bourdieu's work on practice to account for the interactions between practices, this paper presents a conceptualization of practice as chains of production and consumption. The first part of the paper reviews the account of practice offered by Bourdieu both embedded in practice games and as field effects. The second part of the paper introduces practice chains of production and consumption as a way to conceptualize practice by drawing on a case involving print journalists' involvement with policy makers over the course of an Australian policy review. The final section presents a discussion of this conceptualization and highlights the potential of the concept for further research in understanding the processes of educational policy development.

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This thesis presents an algebraic framework for multimodal image fusion. The framework derives algebraic constructs and equations that govern the fusion process. The derived equations serve as objective functions according to which image fusion algorithms and metrics can be tuned. The equations also prove the duality between image fusion algorithms and metrics.

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This paper utilizes Bourdieu's conceptual frame to examine the mediatized effects of policy processes concerned with the growth and support of knowledge industries in Australia. These policies span education, science, research and other knowledge industries (such as venture capital firms and intellectual property law). The paper argues that some policy processes are best represented as temporary social fields. The nature of these fields can be described by the kinds of cross-field effects that they produce, A case study of an Australian knowledge economy policy, The chance to change, and associated policy processes demonstrates the broad analytic capacities of Bourdieu 's conceptual frame for policy analysis, when combined with the concepts of cross-field effects and temporary social field developed here.

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RATIONALE: To determine whether the potential for previous termpollennext term fragmentation is increased during thunderstorms by exploring the previous termeffectsnext term of previous termelectricnext termprevious termfieldsnext term, with magnitude as found in the outdoor environment.

METHODS: Fresh previous termpollennext term grains were collected from bermudagrass flowers. A light microscope was modified with the addition of an previous termelectricnext termprevious termfieldnext term generated from a DC source (0-20 V) that was applied to the stage. Water was added to test for previous termpollennext termprevious termrupturenext term and to assess previous termpollennext term viability.

RESULTS: Bermuda grass previous termpollennext term did not previous termrupturenext term within 1 h of contact with water. Only after exposure to an previous termelectricnext termprevious termfieldnext term did Bermudagrass previous termpollennext term show a considerable amount of rupturing immediately upon immersion in water. The higher the voltage the previous termpollennext term is exposed to before coming into contact with water, the higher the percentage of previous termrupturenext term of the previous termpollennext term. previous termElectricnext termprevious termfieldsnext term, generated in the laboratory and of magnitude found during thunderstorms, affected the previous termpollennext term after as little as a 5 s exposure. The highest percentage of previous termrupturenext term occurred after exposures of at least 10 s: 80% previous termrupturenext term occurred after 10 s exposure at 10kVolts/m. This previous termeffectnext term is sustained for at least 15 min.

CONCLUSIONS: Thunderstorm regularly generate previous termelectricnext termprevious termfieldsnext term up to 5 kV/m in strength, and can reach 10kV/m, and cover several km in distance. The magnitude of the previous termelectricnext termprevious termfieldsnext term that affects the previous termpollennext term grains in the laboratory is low enough to be commonly found in the outdoor environment during thunderstorms. These previous termelectricnext termprevious termfields prime previous termpollen grains for more rapid release of allergenic particles.

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Resource constraint sensors of a Wireless Sensor Network (WSN) cannot afford the use of costly encryption techniques like public key while dealing with sensitive data. So symmetric key encryption techniques are preferred where it is essential to have the same cryptographic key between communicating parties. To this end, keys are preloaded into the nodes before deployment and are to be established once they get deployed in the target area. This entire process is called key predistribution. In this paper we propose one such scheme using unique factorization of polynomials over Finite Fields. To the best of our knowledge such an elegant use of Algebra is being done for the first time in WSN literature. The best part of the scheme is large number of node support with very small and uniform key ring per node. However the resiliency is not good. For this reason we use a special technique based on Reed Muller codes proposed recently by Sarkar, Saha and Chowdhury in 2010. The combined scheme has good resiliency with huge node support using very less keys per node.

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Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov chains to model complex hierarchical, nested Markov processes. It is parameterised in a discriminative framework and has polynomial time algorithms for learning and inference. Importantly, we develop efficient algorithms for learning and constrained inference in a partially-supervised setting, which is important issue in practice where labels can only be obtained sparsely. We demonstrate the HSCRF in two applications: (i) recognising human activities of daily living (ADLs) from indoor surveillance cameras, and (ii) noun-phrase chunking. We show that the HSCRF is capable of learning rich hierarchical models with reasonable accuracy in both fully and partially observed data cases.

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A washer-free Nb nanoSQUID has been developed for measuring magnetization changes from nanoscale objects. The SQUID loop is etched into a 250 nm wide Au/Nb bilayer track and the diameter of the SQUID hole is ~ 70 nm. In the presence of a magnetic field perpendicular to the plane of the SQUID, vortex penetration into the 250 nm wide track can be observed via the critical current–applied field characteristic and the value at which vortex first penetrates is consistent with the theoretical prediction. Upon removing the applied field, the penetrated vortices escape the track and the critical current at zero field is restored.