985 resultados para Adjusted R2


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Orebody modelling, support effects and the estimation of recoverable reserves are key parts of open pit optimization studies. A case study is presented on the estimation of recoverable reserves using an implementation of indicator kriging where metal quantity is used to select cutoffs, and support corrections founded on a conditional simulation approach. Mining selectivity is explored in the subsequent optimization study to compare results from indicator kriging of grade estimates on a regular size blocks and indicator kriging estimates on small size blocks. The use of indicator kriging models adjusted for a given selectivity and the use of grade proportions in each block for the optimization study, provide a presentation of the expected ore recovery for a predefined level of selectivity. The case study shows that indicator kriging estimation with full accounting of block grade distributions generates substantially better results in the pit optimization study. In addition, the adverse effects of small blocks and over-smoothing on optimization results are illustrated.

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Objective: To assess the (i) benefits, (ii) harms and (iii) costs of continuing mammographic screening for women 70 years and over. Data sources and synthesis: (i) We conducted a MEDLINE search (1966 - July 2000) for decision-analytic models estimating life-expectancy gains from screening in older women. The five studies meeting the inclusion criteria were critically appraised using standard criteria. We estimated relative benefit from each model's estimate of effectiveness of screening in older women relative to that in women aged 50-69 years using the same model. (ii) With data from BreastScreen Queensland, we constructed balance sheets of the consequences of screening for women in 10-year age groups (40-49 to 80-89 years), and (iii) we used a validated model to estimate the marginal cost-effectiveness of extending screening to women 70 years and over. Results: For women aged 70-79 years, the relative benefit was estimated as 40%-72%, and 18%-62% with adjustment for the impact of screening on quality of life. For women over 80 years the relative benefit was about a third, and with quality-of-life adjustment only 14%, that in women aged 50-69 years. (ii) Of 10 000 Australian women participating in ongoing screening, about 400 are recalled for further testing, and, depending on age, about 70-112 undergo biopsy and about 19-80 cancers are detected. (iii) Cost-effectiveness estimates for extending the upper age limit for mammographic screening from 69 to 79 years range from $8119 to $27 751 per quality-adjusted life-year saved, which compares favourably with extending screening to women aged 40-49 years (estimated at between $24 000 and $65 000 per life-year saved). Conclusions: Women 70 years and over, in consultation with their healthcare providers, may want to decide for themselves whether to continue mammographic screening. Decision-support materials are needed for women in this age group.

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Objective: To measure the cost-effectiveness of cholesterol-lowering therapy with pravastatin in patients with established ischaemic heart disease and average baseline cholesterol levels. Design: Prospective economic evaluation within a double-blind randomised trial (Long-Term Intervention with Pravastatin in Ischaemic Disease [LIPID]), in which patients with a history of unstable angina or previous myocardial infarction were randomised to receive 40 mg of pravastatin daily or matching placebo. Patients and setting: 9014 patients aged 35-75 years from 85 centres in Australia and New Zealand, recruited from June 1990 to December 1992. Main outcome measures: Cost per death averted, cost per life-year gained, and cost per quality-adjusted life-year gained, calculated from measures of hospitalisations, medication use, outpatient visits, and quality of life. Results: The LIPID trial showed a 22% relative reduction in all-cause mortality (P < 0.001). Over a mean follow-up of 6 years, hospital admissions for coronary heart disease and coronary revascularisation were reduced by about 20%. Over this period, pravastatin cost $A4913 per patient, but reduced total hospitalisation costs by $A1385 per patient and other long-term medication costs by $A360 per patient. In a subsample of patients, average quality of life was 0.98 (where 0 = dead and 1 = normal good health); the treatment groups were not significantly different. The absolute reduction in all-cause mortality was 3.0% (95% CI, 1.6%-4.4%), and the incremental cost was $3246 per patient, resulting in a cost per life saved of $107730 (95% Cl, $68626-$209881) within the study period. Extrapolating long-term survival from the placebo group, the undiscounted cost per life-year saved was $7695 (and $10 938 with costs and life-years discounted at an annual rate of 5%). Conclusions: Pravastatin therapy for patients with a history of myocardial infarction or unstable angina and average cholesterol levels reduces all-cause mortality and appears cost effective compared with accepted treatments in high-income countries.

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Evaluation of the performance of the APACHE III (Acute Physiology and Chronic Health Evaluation) ICU (intensive care unit) and hospital mortality models at the Princess Alexandra Hospital, Brisbane is reported. Prospective collection of demographic, diagnostic, physiological, laboratory, admission and discharge data of 5681 consecutive eligible admissions (1 January 1995 to 1 January 2000) was conducted at the Princess Alexandra Hospital, a metropolitan Australian tertiary referral medical/surgical adult ICU. ROC (receiver operating characteristic) curve areas for the APACHE III ICU mortality and hospital mortality models demonstrated excellent discrimination. Observed ICU mortality (9.1%) was significantly overestimated by the APACHE III model adjusted for hospital characteristics (10.1%), but did not significantly differ from the prediction of the generic APACHE III model (8.6%). In contrast, observed hospital mortality (14.8%) agreed well with the prediction of the APACHE III model adjusted for hospital characteristics (14.6%), but was significantly underestimated by the unadjusted APACHE III model (13.2%). Calibration curves and goodness-of-fit analysis using Hosmer-Lemeshow statistics, demonstrated that calibration was good with the unadjusted APACHE III ICU mortality model, and the APACHE III hospital mortality model adjusted for hospital characteristics. Post hoc analysis revealed a declining annual SMR (standardized mortality rate) during the study period. This trend was present in each of the non-surgical, emergency and elective surgical diagnostic groups, and the change was temporally related to increased specialist staffing levels. This study demonstrates that the APACHE III model performs well on independent assessment in an Australian hospital. Changes observed in annual SMR using such a validated model support an hypothesis of improved survival outcomes 1995-1999.

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The particle-based Lattice Solid Model (LSM) was developed to provide a basis to study the physics of rocks and the nonlinear dynamics of earthquakes (MORA and PLACE, 1994; PLACE and MORA, 1999). A new modular and flexible LSM approach has been developed that allows different microphysics to be easily included in or removed from the model. The approach provides a virtual laboratory where numerical experiments can easily be set up and all measurable quantities visualised. The proposed approach provides a means to simulate complex phenomena such as fracturing or localisation processes, and enables the effect of different micro-physics on macroscopic behaviour to be studied. The initial 2-D model is extended to allow three-dimensional simulations to be performed and particles of different sizes to be specified. Numerical bi-axial compression experiments under different confining pressure are used to calibrate the model. By tuning the different microscopic parameters (such as coefficient of friction, microscopic strength and distribution of grain sizes), the macroscopic strength of the material and can be adjusted to be in agreement with laboratory experiments, and the orientation of fractures is consistent with the theoretical value predicted based on Mohr-Coulomb diagram. Simulations indicate that 3-D numerical models have different macroscopic properties than in 2-D and, hence, the model must be recalibrated for 3-D simulations. These numerical experiments illustrate that the new approach is capable of simulating typical rock fracture behaviour. The new model provides a basis to investigate nucleation, rupture and slip pulse propagation in complex fault zones without the previous model limitations of a regular low-level surface geometry and being restricted to two-dimensions.

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Relationships between weather parameters andairborne pollen loads of Pinus inBrisbane, Australia have been investigated overthe five-year period, June 1994–May 1999.Pinus pollen accounts for 4.5% of the annualairborne pollen load in Brisbane where thePinus season is confined to the winter months,July–early September. During the samplingperiod loads of 11–>100 grains m3 wererecorded on 24 days and 1–10 grains m3 on204 days. The onset and peak dates wereconsistent across each season, whereas the enddates varied. The onset of the Pinuspollen season coincided with the coolestaverage monthly temperatures (< 22°C),lowest rainfall (< 7mm), and four weeks afterdaily minimum temperatures fell to 5–9°Cin late autumn. Correlations obtained betweendaily airborne Pinus pollen counts andtemperature/rainfall parameters show thatdensities of airborne Pinus pollen arenegatively correlated with maximum temperature(p < 0.0001), minimum temperature (p < 0.0001)and rainfall (p < 0.05) during the mainpollination period. The mean duration of eachpollen season was 52 days; longer seasons wereshown to be directly related to lower averageseasonal maximum temperatures (r2 = 0.85,p = 0.025). These results signify that maximumand minimum temperatures are the majorparameters that influence the onset andduration of the Pinus pollen season inthe environs of Brisbane. Respiratory allergyis an important health issue in Brisbane,Australia, but it remains unknown whether ornot airborne Pinus pollen is acontributing factor.

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This paper examines the statistical and economic significance of short-term autocorrelation in Australian equities. We document large negative first-order autocorrelation in individual stock returns. Preliminary results suggest this autocorrelation is economically significant, as two simple trading strategies based on the autocorrelation structure appear to yield large risk-adjusted returns. Further analysis, however, shows that these results are driven by the inclusion of small-capitalisation and low-priced stocks which are vulnerable to a number of market-microstructure-related problems. After revising the dataset to mitigate these problems, little evidence of economic significance remains.

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Subcycling, or the use of different timesteps at different nodes, can be an effective way of improving the computational efficiency of explicit transient dynamic structural solutions. The method that has been most widely adopted uses a nodal partition. extending the central difference method, in which small timestep updates are performed interpolating on the displacement at neighbouring large timestep nodes. This approach leads to narrow bands of unstable timesteps or statistical stability. It also can be in error due to lack of momentum conservation on the timestep interface. The author has previously proposed energy conserving algorithms that avoid the first problem of statistical stability. However, these sacrifice accuracy to achieve stability. An approach to conserve momentum on an element interface by adding partial velocities is considered here. Applied to extend the central difference method. this approach is simple. and has accuracy advantages. The method can be programmed by summing impulses of internal forces, evaluated using local element timesteps, in order to predict a velocity change at a node. However, it is still only statistically stable, so an adaptive timestep size is needed to monitor accuracy and to be adjusted if necessary. By replacing the central difference method with the explicit generalized alpha method. it is possible to gain stability by dissipating the high frequency response that leads to stability problems. However. coding the algorithm is less elegant, as the response depends on previous partial accelerations. Extension to implicit integration, is shown to be impractical due to the neglect of remote effects of internal forces acting across a timestep interface. (C) 2002 Elsevier Science B.V. All rights reserved.

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Background Patients with known or suspected coronary disease are often investigated to facilitate risk assessment. We sought to examine the cost-effectiveness of strategies based on exercise echocardiography and exercise electrocardiography. Methods and results We studied 7656 patients undergoing exercise testing; of whom half underwent exercise echocardiography. Risk was defined with the Duke treadmill score for those undergoing exercise electrocardiography alone, and by the extent of ischaemia by exercise echocardiography. Cox proportional hazards models, risk adjusted for pretest likelihood of coronary artery disease, were used to estimate time to cardiac death or myocardial infarction. Costs (including diagnostic and revascularisation procedures, hospitalisations, and events) were calculated, inflation-corrected to year 2000 using Medicare trust fund rates and discounted at a rate of 5%. A decision model was employed to assess the marginal cost effectiveness (cost/life year saved) of exercise echo compared with exercise electrocardiography. Exercise echocardiography identified more patients as low-risk (51% vs 24%, p<0.001), and fewer as intermediate- (27% vs 51%, p<0.001) and high-risk (22% vs 4%); survival was greater in low- and intermediate- risk and less in high-risk patients. Although initial procedural costs and revascularisation costs (in intermediate- high risk patients) were greater, exercise echocardiography was associated with a greater incremental life expectancy (0.2 years) and a lower use of additional diagnostic procedures when compared with exercise electrocardiography (especially in lower risk patients). Using decision analysis, exercise echocardiography (Euro 2615/life year saved) was more cost effective than exercise electrocardiography. Conclusion Exercise echocardiography may enhance cost-effectiveness for the detection and management of at risk patients with known or suspected coronary disease. (C) 2003 Published by Elsevier Science Ltd on behalf of The European Society of Cardiology.

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The interaction between genetic and environmental factors for PD was examined in a Chinese population. It was found that although the intron 2 MAOB (GT)(n) repeat polymorphism was not associated with PID in the population, a relationship might have been masked by the protective effect of tea drinking. In individuals who did not drink tea (<1 cup/day), the possession of short length less than or equal to 178 bp (GT), alleles conferred a borderline significant increased risk for PD (adjusted OR = 1.47; C.l. = 1.03-2. 1). As the extent of tea consumption increased, the association between the less than or equal to178 bp allele and PD disappeared. This result suggests that the MAOB gene may be associated with PD in Chinese if the putative protective effect of tea drinking is taken into account. The significance of this finding is unclear as the study may be limited because of its marginal significance and limited numbers. However, it does demonstrate the importance of considering putative positive and negative environmental risk factors in any examination of genetic risk factors for PD. (C) 2003 Elsevier Science Ltd. All rights reserved.

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We evaluated the effects of various food groups and micronutrients in the diet on survival among women who originally participated in a population-based case-control study of ovarian cancer conducted across 3 Australian states between 1990 and 1993. This analysis included 609 women with invasive epithelial ovarian cancer, primarily because there was negligible mortality in women with borderline tumors. The women's usual diet was assessed using a validated food frequency questionnaire. Deaths in the cohort were identified using state-based cancer registries and the Australian National Death Index (NDI). Crude 5-year survival probabilities were estimated using the Kaplan-Meier technique, and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were obtained from Cox regression models. After adjusting for important confounding factors, a survival advantage was observed for those who reported higher intake of vegetables in general (HR = 0.75, 95% CI = 0.57-0.99, p-value trend 0.01 for the highest third, compared to the lowest third), and cruciferous vegetables in particular (HR = 0.75, 95% CI = 0.57-0.98, p-value trend 0.03), and among women in the upper third of intake of vitamin E (HR = 0.76, 95% CI = 0.58-1.01, p-value trend 0.04). Inverse associations were also seen with protein (p-value trend 0.09), red meat (p-value trend 0.06) and white meat (p-value trend 0.07), and modest positive trends (maximum 30% excess) with lactose (p-value trend 0.04), calcium and dairy products. Although much remains to be learned about the influence of nutritional factors after a diagnosis of ovarian cancer, our study suggests the possibility that a diet high in vegetable intake may help improve survival. (C) 2003 Wiley-Liss, Inc.

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Estudou-se a riqueza e abundância de gêneros de Bethylidae coletados em quatro áreas de mata de encosta da Mata Atlântica do Espírito Santo, com estados de preservação diferentes: Santa Maria de Jetibá (SMJ), Domingos Martins (DM), Pancas (P) e Atílio Vivácqua (AV). Foram coletados 2.840 espécimes alocados em 12 gêneros, sendo Lepidosternopsis Ogloblin e Bakeriella Kieffer citados pela primeira vez para esse estado. A riqueza dos táxons foi obtida através do procedimento Jackknife com auxílio do programa EstimateS. Curvas de acumulação de gêneros foram construídas para avaliar o esforço amostral. Os dados se ajustaram à distribuição geométrica e calculou-se o parâmetro k para comparar as localidades. O perfil genérico não foi equivalente em todas as localidades, e todas foram consideradas perturbadas. SMJ e DM apresentaram riqueza de gêneros maior em comparação com P e AV. As diferenças relatadas neste estudo para as áreas amostradas refletem o grau diferente de preservação das matas. Pseudisobrachium Kieffer e Dissomphalus Ashmead foram os gêneros mais abundantes em SMJ, DM e P e Anisepyris Kieffer em AV. Este estudo reforça o fato de Dissomphalus ser mais abundante em florestas tropicais úmidas e que o perfil genérico encontrado em AV assemelha-se a dados publicados para o cerrado.

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A partir de uma análise detalhada do processo de infiltração de água no solo, foram propostas alternativas para adequação dos parâmetros de entrada do modelo de Green-Ampt-Mein-Larson (GAML), na tentativa de melhorar a eficiência da estimativa da infiltração em alguns solos brasileiros. As adequações consistiram em substituir a condutividade hidráulica do solo saturado (K0) pela taxa de infiltração estável (Tie) e o teor de água do solo saturado (qs) pelo teor de água na zona de transmissão (qw), além de estabelecer uma equação para estimativa do potencial matricial na frente de umedecimento (yf) com base nos parâmetros do modelo de curva de retenção de água de Brooks & Corey. Avaliou-se o desempenho do conjunto de adequações propostas (GAML-t) para estimativa da infiltração de água em três solos: Latossolo Vermelho-Amarelo, Latossolo Vermelho e Argissolo Vermelho. O desempenho do GAML-t foi comparado com o obtido pelo GAML aplicado em sua forma original e adequado segundo cinco diferentes formas, evidenciando-se que o primeiro obteve melhor desempenho nos três solos estudados.

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O presente estudo tem por objetivo avaliar se o perfil do adotante de inovações altera a relação entre o Valor Percebido e a Intenção de Compra de mídias móveis (smartphones, tablets, ultrabooks e leitores de e-books). Trata-se de uma pesquisa quantitativa que busca explorar a relação estrutural entre as variáveis por meio de Modelagem de Equações Estruturais (SEM – Strutural Equation Modeling). O modelo de pesquisa proposto foi desenvolvido tendo como base a Teoria da Difusão da Inovação (TDI), a Teoria Unificada de Aceitação e Uso de Tecnologia (UTAUT), o Modelo de Aceitação de Tecnologia (TAM), o Modelo Baseado em Valor (VAM), o Modelo de Aceitação de Tecnologia pelo Consumidor (CAT) e o Modelo de Influência Social (IS). Para coletar os dados foi utilizada a técnica snowball sampling ou amostragem em bola de neve, forma de amostragem não probabilística utilizada em pesquisas sociais. Foi feito um levantamento (survey), distribuindo-se questionário disponibilizado pela rede social Facebook, a partir dos contatos do autorsolicitando-se que os respondentes replicassem em suas páginas pessoais o link da pesquisa, ampliando a amostra. A coleta dos dados foi realizada nos meses de setembro e outubro de 2013, obtendo-se um total de 362 questionários respondidos. O estudo apresentou um efeito significativo da variável Valor Percebido na Intenção de Compra (estatística t = 4,506; nível de significância de 1%), além de sustentar a influência moderadora do Perfil do Adotante sobre essa relação (estatística t = 4,066; nível de significância de 1%), apresentando alto impacto sobre a Intenção de Compra (f 2 = 0,582) e relevância preditiva moderada (q2 = 0,290). Entre as variáveis antecedentes relacionadas à adoção de tecnologia, não apresentaram efeito significativo sobre o Valor Percebido: a Facilidade de Uso Percebida, a Complexidade Percebida e o Risco Percebido. O modelo contribuiu significativamente para explicar a influência dos fatores que impactam o Valor Percebido (R2 = 51,7%) o efeito do Valor Percebido na Intenção de Compra (R2 = 49,1%) de equipamentos eletrônicos portáteis. O suporte da presumidade influência moderadora do Perfil do Adotante sobre a relação Valor Percebido e Intenção de Compra indica que as organizações devem conhecer melhor os consumidores desse tipo de equipamento móveis, segmentando e desenvolvendo ações alinhadas com cada perfil de adotante.

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A cultura do cafeeiro sempre ocupou lugar de destaque na economia do país, dada sua importância na área econômica e social, buscando cada vez mais, um mercado diferenciado, com novas tecnologias para a melhoria da qualidade da bebida. A atividade de lavagem e despolpa de frutos do cafeeiro, necessária para a redução do custo de secagem e a melhoria da qualidade de bebida, é geradora de grandes volumes de resíduos sólidos e líquidos, ricos em material orgânico e inorgânico. A água residuária da atividade de beneficiamento do café (ARC) é gerada anualmente em grande volume no Espírito Santo, e aliado aos nutrientes existentes nesse efluente indica a sua viabilidade de reaproveitamento na fertirrigação de culturas agrícolas. O objetivo do presente trabalho foi avaliar o efeito de diferentes doses de água residuária de café no crescimento, na absorção e interação entre nutrientes e no estado nutricional do milho. Para tanto, foi conduzido um experimento em casa de vegetação utilizando-se o delineamento experimental inteiramente casualizado, onde foram aplicadas 7 doses de ARC, com 3 repetições, em unidades experimentais constituídas por vasos com 2 dm³ de solo. As doses foram equivalentes a 0,00, 15,17, 30,35, 45,52, 60,70, 75,87 e 91,05 litros de ARC por m² de solo. Realizou-se a semeadura de cinco sementes de milho híbrido BR 206 por vaso e cinco dias após a germinação das plantas foi feito o desbaste, mantendo-se três plantas por vaso. Aos trinta dias após a germinação determinou-se o diâmetro do caule (DC), área foliar (AF), matéria seca da parte aérea (MSPA), matéria seca do sistema radicular (MSR), relação parte aérea/raiz (MSPA/MSR), razão massa radicular (matéria seca raiz/matéria seca total) e razão área foliar (área foliar/matéria seca total). Na parte aérea das plantas foi determinado os teores dos macronutrientes (N, P, K, Ca, Mg e S). Os dados foram submetidos a análise de variância e as variáveis em função das doses de ARC submetidas a análise de regressão. Para as variáveis dependentes foi calculado o coeficiente de correlação linear de Pearson. A ARC serviu como fonte de nutrientes para as plantas de milho, aumentou o rendimento da maioria das variáveis de crescimento e os teores de N, K e S. Porém diminuiu o teor de Ca, Mg e P da parte aérea das plantas além de indicar que altas doses promovem desbalanceamento na relação entre nutrientes.