An encyclopædia of agriculture : comprising the theory and practice of the valuation, transfer, laying out, improvement, and management of landed property : and the cultivation and economy of the animal and vegetable productions of agriculture, including all the latest improvements : a general history of agriculture in all countries : and a statistical view of its present state, with suggestions for its future progress in the British Isles /

Advertisements p. [1-2] at end and 16 p. of advertisements inserted at front.

Historical collections of Virginia : containing a collection of the most interesting facts, traditions, biographical sketches, anecdotes, &c., relating to its history and antiquities, together with geographical and statistical descriptions : to which is appended, an historical and descriptive sketch of the District of Columbia : illustrated by over 100 engravings, giving views of the principal towns, seats of eminent men, public buildings, relics of antiquity, historic localities, natural scenery, etc., etc. /

Illustrated by J.W. Barber.

Southwest statistical summary /

Title from caption.

Sleep loss and its effects on performance /

Includes indexes.

Capacidades e performance dos Tribunais de Contas no Brasil

O presente estudo visa à análise da relação entre as capacidades, conforme definidas por Brinkerhoff (2010), e a performance das Cortes de Contas brasileiras. As capacidades no atual estudo se referem à quantidade de funcionários de cada Tribunal de Contas, seu orçamento, percentual de servidores do seu quadro efetivo e cumprimento das normas constitucionais quanto a sua formação. A performance foi medida pelas variáveis: “Produtividade”, ou o número de processos julgados ou apreciados pelos Ministros ou Conselheiros; “Iniciativa”, ou seja, quantidade de fiscalizações in loco realizadas; “Valor das multas e débitos imputados”, entendidas como a propensão a punir das Cortes de Contas; e “Grau de rejeição das contas de governo”, que é definida como a razão do número de pareceres prévios rejeitando as contas de governo pelo total de pareceres emitidos. A atual pesquisa parte do estudo de Melo, Pereira e Figueiredo (2009) - que identifica diversas relações entre a estrutura dos Tribunais de Contas e sua atuação - propondo novas variáveis para uma análise mais ampla e real da performance das Cortes de Contas. As hipóteses do estudo foram testadas por meio de regressão estatística utilizando o método de mínimos quadrados. Os dados foram coletados diretamente dos Tribunais de Contas. Os testes realizados confirmaram que a quantidade de recursos humanos de cada Corte influencia positivamente todas as variáveis de performance referidas anteriormente, e que quanto maior o orçamento de cada Tribunal maior sua produtividade, sua iniciativa e o valor das multas e débitos imputados. O presente estudo também comprovou que quanto maior o percentual de servidores do quadro efetivo da Corte de Contas, maior é sua produtividade, o que corrobora as teorias de Evans (2004). A partir dos dados coletados na pesquisa, foi possível verificar que o percentual médio de servidores efetivos nas Corte de Contas é de 69% enquanto nas Cortes Judiciárias esse percentual é de 89%. Isso mostra que há bastante margem para aumento da produtividade dos órgãos de contas. Conclui-se que quanto mais recursos financeiros e humanos disponíveis, e quanto maior o percentual de servidores concursados, mais os Tribunais de Contas são produtivos, sancionadores e proativos.

Mental Preparation for Piano Performance Using Principles of Aikido

Thesis (D.M.A.)--University of Washington, 2016-05

A statistical approach to predict the effect of confinement on the detonation velocity of commercial explosives

Commercial explosives behave non-ideally in rock blasting. A direct and convenient measure of non-ideality is the detonation velocity. In this study, an alternative model fitted to experimental unconfined detonation velocity data is proposed and the effect of confinement on the detonation velocity is modelled. Unconfined data of several explosives showing various levels of nonideality were successfully modelled. The effect of confinement on detonation velocity was modelled empirically based on field detonation velocity measurements. Confined detonation velocity is a function of the ideal detonation velocity, unconfined detonation velocity at a given blasthole diameter and rock stiffness. For a given explosive and charge diameter, as confinement increases detonation velocity increases. The confinement model is implemented in a simple engineering based non-ideal detonation model. A number of simulations are carried out and analysed to predict the explosive performance parameters for the adopted blasting conditions.

Statistical racing techniques for improved empirical evaluation of evolutionary algorithms

In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible, in border to have a clear and detailed picture of their performance. Unfortunately, the total number of experiments required may be very large, which often makes such research work computationally prohibitive. In this paper, the application of a statistical method called racing is proposed as a general-purpose tool to reduce the computational requirements of large-scale experimental studies in evolutionary algorithms. Experimental results are presented that show that racing typically requires only a small fraction of the cost of an exhaustive experimental study.

A learning approach for performance evaluation of local network

In this paper, a novel approach is developed to evaluate the overall performance of a local area network as well as to monitor some possible intrusion detections. The data is obtained via system utility 'ping' and huge data is analyzed via statistical methods. Finally, an overall performance index is defined and simulation experiments in three months proved the effectiveness of the proposed performance index. A software package is developed based on these ideas.

“O Capital Intelectual na Vida das Organizações: O Impacto na Performance“

A atual situação económica financeira de Portugal não se encontra tão favorável quanto o desejável. Hoje, mais do que nunca, as organizações vêm-se obrigadas a reforçar o nível de competitividade. O capital intelectual tem sido descrito pela literatura como o conjunto de recursos intangíveis capaz de criar valor organizacional e vantagem competitiva, daí ser necessário investir nele. Identifica-se como um fenómeno resultante da combinação de três dimensões: capital humano, estrutural e relacional. Apenas com a combinação e transformação de tais intangíveis o valor organizacional dá-se e o conhecimento revela-se elemento fundamental do capital intelectual. Investigações recentes no meio académico mostram que as organizações reconhecem a importância estratégica do capital intelectual. No entanto, como entrave, persiste a dificuldade em defini-lo, identifica-lo e medi-lo eficazmente. Perceber a influência do Capital Intelectual no desempenho organizacional tornou-se essencial. Em geral, alguns autores sustentam uma conceção otimista quanto à existência de uma relação significativa entre o capital intelectual e o desempenho organizacional. Contudo, apenas o clarificam numa perspetiva de criação e manutenção de vantagens competitivas sustentáveis. Não clarificam a relação causa-efeito entre as componentes do capital intelectual e o desempenho organizacional. Este estudo tem como objetivo principal averiguar até que ponto investir em capital intelectual revela maior desempenho organizacional em PME (Pequenas e Médias Empresas) e grandes empresas. Para o seu fim, examinou-se as relações existentes entre as três componentes do capital intelectual e a influência destas no desempenho organizacional. Trata-se de um estudo confirmatório possível a partir de um questionário e de uma amostra (PME e grandes empresas de Portugal) significativa. Para analisar os dados utilizamos o programa SPSS (Statistical Package for Social Science for Windows) e AMOS (Analysis of Moment Structures). Os resultados indicam que investir em Capital Intelectual contribui positivamente para uma melhor performance organizacional.

Statistical mechanics of error-correcting codes

We investigate the performance of error-correcting codes, where the code word comprises products of K bits selected from the original message and decoding is carried out utilizing a connectivity tensor with C connections per index. Shannon's bound for the channel capacity is recovered for large K and zero temperature when the code rate K/C is finite. Close to optimal error-correcting capability is obtained for finite K and C. We examine the finite-temperature case to assess the use of simulated annealing for decoding and extend the analysis to accommodate other types of noisy channels.

Typical performance of gallager-type error-correcting codes

The performance of Gallager's error-correcting code is investigated via methods of statistical physics. In this method, the transmitted codeword comprises products of the original message bits selected by two randomly-constructed sparse matrices; the number of non-zero row/column elements in these matrices constitutes a family of codes. We show that Shannon's channel capacity is saturated for many of the codes while slightly lower performance is obtained for others which may be of higher practical relevance. Decoding aspects are considered by employing the TAP approach which is identical to the commonly used belief-propagation-based decoding.

Statistical physics of irregular low-density parity-check codes

Low-density parity-check codes with irregular constructions have recently been shown to outperform the most advanced error-correcting codes to date. In this paper we apply methods of statistical physics to study the typical properties of simple irregular codes. We use the replica method to find a phase transition which coincides with Shannon's coding bound when appropriate parameters are chosen. The decoding by belief propagation is also studied using statistical physics arguments; the theoretical solutions obtained are in good agreement with simulation results. We compare the performance of irregular codes with that of regular codes and discuss the factors that contribute to the improvement in performance.

Statistical mechanics of support vector networks

Using methods of Statistical Physics, we investigate the generalization performance of support vector machines (SVMs), which have been recently introduced as a general alternative to neural networks. For nonlinear classification rules, the generalization error saturates on a plateau, when the number of examples is too small to properly estimate the coefficients of the nonlinear part. When trained on simple rules, we find that SVMs overfit only weakly. The performance of SVMs is strongly enhanced, when the distribution of the inputs has a gap in feature space.

Statistical mechanics of low-density parity check error-correcting codes over Galois fields

A variation of low-density parity check (LDPC) error-correcting codes defined over Galois fields (GF(q)) is investigated using statistical physics. A code of this type is characterised by a sparse random parity check matrix composed of C non-zero elements per column. We examine the dependence of the code performance on the value of q, for finite and infinite C values, both in terms of the thermodynamical transition point and the practical decoding phase characterised by the existence of a unique (ferromagnetic) solution. We find different q-dependence in the cases of C = 2 and C ≥ 3; the analytical solutions are in agreement with simulation results, providing a quantitative measure to the improvement in performance obtained using non-binary alphabets.