On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts

Regional commodity forecasts are being used increasingly in agricultural industries to enhance their risk management and decision-making processes. These commodity forecasts are probabilistic in nature and are often integrated with a seasonal climate forecast system. The climate forecast system is based on a subset of analogue years drawn from the full climatological distribution. In this study we sought to measure forecast quality for such an integrated system. We investigated the quality of a commodity (i.e. wheat and sugar) forecast based on a subset of analogue years in relation to a standard reference forecast based on the full climatological set. We derived three key dimensions of forecast quality for such probabilistic forecasts: reliability, distribution shift, and change in dispersion. A measure of reliability was required to ensure no bias in the forecast distribution. This was assessed via the slope of the reliability plot, which was derived from examination of probability levels of forecasts and associated frequencies of realizations. The other two dimensions related to changes in features of the forecast distribution relative to the reference distribution. The relationship of 13 published accuracy/skill measures to these dimensions of forecast quality was assessed using principal component analysis in case studies of commodity forecasting using seasonal climate forecasting for the wheat and sugar industries in Australia. There were two orthogonal dimensions of forecast quality: one associated with distribution shift relative to the reference distribution and the other associated with relative distribution dispersion. Although the conventional quality measures aligned with these dimensions, none measured both adequately. We conclude that a multi-dimensional approach to assessment of forecast quality is required and that simple measures of reliability, distribution shift, and change in dispersion provide a means for such assessment. The analysis presented was also relevant to measuring quality of probabilistic seasonal climate forecasting systems. The importance of retaining a focus on the probabilistic nature of the forecast and avoiding simplifying, but erroneous, distortions was discussed in relation to applying this new forecast quality assessment paradigm to seasonal climate forecasts. Copyright (K) 2003 Royal Meteorological Society.

Prediction of multilayer adsorption and capillary condensation phenomena in cylindrical mesopores

MCM-41 periodic mesoporous silicates with a high degree of structural ordering are synthesized and used as model adsorbents to study the isotherm prediction of nitrogen adsorption. The nitrogen adsorption isotherm at 77 K for a macroporous silica is measured and used in high-resolution alpha(s)-plot comparative analysis to determine the external surface area, total surface area and primary mesopore volume of the MCM-41 materials. Adsorption equilibrium data of nitrogen on the different pore size MCM-41 samples (pore diameters from 2.40 to 4.92 nm) are also obtained. Based on the Broekhoff and de Boer' thermodynamic analysis, the nitrogen adsorption isotherms for the different pore size MCM-41 samples are interpreted using a novel strategy, in which the parameters of an empirical expression, used to represent the potential of interaction between the adsorbate and adsorbent, are obtained by fitting only the multilayer region prior to capillary condensation for C-16 MCM-41. Subsequently the entire isotherm, including the phase transition, is predicted for all the different pore size MCM-41 samples without any fitting. The results show that the prediction of multilayer adsorption and total adsorbed amount are in good agreement with the experimental isotherms. The predictions of the relative pressure corresponding to capillary equilibrium (coexistence) transition agree remarkably with experimental data on the adsorption branch even for hysteretic isotherms, confirming that this is the branch appropriate for pore size distribution analysis. The impact of pore radius on the adsorption film thickness and capillary coexistence pressure is also investigated, and found to agree with the experimental data. (C) 2003 Elsevier Inc. All rights reserved.

Estimates of global mortality attributable to smoking in 2000

Background Smoking is a risk factor for several diseases and has been increasing in many developing countries. Our aim was to estimate global and regional mortality in 2000 caused by smoking, including an analysis of uncertainty. Methods Following the methods of Peto and colleagues, we used lung-cancer mortality as an indirect marker for accumulated smoking risk. Never-smoker lung-cancer mortality was estimated based on the household use of coal with poor ventilation. Relative risks were taken from the American Cancer Society Cancer Prevention Study, phase II, and the retrospective proportional mortality analysis of Liu and colleagues in China. Relative risks were corrected for confounding and extrapolation to other regions. Results We estimated that in 2000, 4.83 (uncertainty range 3.94-5.93) million premature deaths in the world were attributable to smoking; 2.41 (1.80-3.15) million in developing countries and 2.43 (2.13-2.78) million in industrialised countries. 3.84 million of these deaths were in men. The leading causes of death from smoking were cardiovascular diseases (1.69 million deaths), chronic obstructive pulmonary disease (0.97 million deaths), and lung cancer (0.85 million deaths). Interpretation Smoking was an important cause of global mortality in 2000. In view of the expected demographic and epidemiological transitions and current smoking patterns in the developing world, the health loss due to smoking will grow even larger unless effective interventions and policies that reduce smoking among men and prevent increases among women in developing countries are implemented.

Coorte retrospectiva de crianças e adolescentes, infectados pelo HIV por transmissão vertical, no Espírito Santo : comorbidades, mortalidade e sobrevida

INTRODUÇÃO: O diagnóstico e terapia antirretroviral precoce em lactentes, infectados pelo HIV por transmissão vertical, reduz a progressão do HIV e comorbidades que podem levar ao óbito. OBJETIVO GERAL: Avaliar o perfil clínico e epidemiológico em uma coorte de crianças e adolescentes com aids, infectados por transmissão vertical do HIV, por um período de onze anos, atendidos em hospital estadual de referência, no Estado do Espírito Santo. OBJETIVOS ESPECÍFICOS: 1. Descrever a frequência das comorbidades diagnosticadas após o diagnóstico de HIV e verificar sua distribuição, segundo dados demográficos, epidemiológicos e clínicos, e segundo a classificação dos casos em uma coorte de crianças e adolescentes com aids. 2. Avaliar os fatores preditores de risco de progressão para aids e óbito e causas de morte. 3. Estimar a taxa de sobrevida. MÉTODOS: Coorte retrospectiva de crianças e adolescentes infectados pelo HIV, por transmissão vertical (TV), atendidas no Serviço de Atendimento Especializado (SAE) do Hospital Infantil Nossa Senhora da Glória (HINSG), de janeiro 2001 a dezembro 2011, em Vitória – ES/Brasil. A coleta de dados foi realizada em protocolo específico padronizado, e dados sobre as comorbidades, mortalidade e sua causa básica foram obtidos dos prontuários médicos, da Declaração de Óbito e do banco de dados SIM (Sistema de Informação sobre Mortalidade). O diagnóstico de aids e comorbidades foi de acordo com CDC (Centers for Disease Control and Prevention)/1994. RESULTADOS: Foi arrolado um total de 177 pacientes, sendo 97 (55%) do sexo feminino; 60 (34%) eram menores de1ano, 67 (38%) tinham de 1 a 5 anos e 50 (28%) tinham6 anos ou mais de idade no ingresso ao serviço. A mediana das idades na admissão foi de 30 meses (Intervalo Interquartis (IIQ) 25-75%: 5-72 meses). Em relação à classificação clínico-imunológica, 146 pacientes (82,5%) apresentavam a forma moderada/grave no momento do ingresso no Serviço e 26 (14,7%) foram a óbito. Os sinais clínicos mais frequentes foram hepatomegalia (81,62%), esplenomegalia (63,8%), linfadenopatia (68,4%) e febre persistente (32,8%). As comorbidades mais frequentes foram anemia (67,2%), pneumonia/sepses/meningite - primeiro episódio (64,2%), OMA/sinusite recorrente (55,4%), infecções bacterianas graves recorrentes (47,4%) e dermatites (43,1%). Encontrou-se associação entre classificação clínico-imunológica grave e ingresso no serviço com menos de um ano de idade com algumas comorbidades (p<0,001). O tempo total do acompanhamento dos pacientes foi de 11 anos, com mediana de cinco anos (IIQ: 2-8 anos). No final do período estudado, 132 (74,6%) pacientes estavam em acompanhamento, 11 (6,2%) foram transferidos para outros serviços eem oito (4,5%) houve perda de seguimento. Quanto ao óbito, observou-se uma redução de casos ao longo do tempo. A maioria dos pacientes que foram a óbito deu entrada no serviço com classificação clínica imunológica grave (77%-20/26), apresentava anemia moderada/grave e estava em uso de terapia antirretroviral (TARV) por mais de 3 meses (17/24-71%).Os principais fatores de risco para o óbito foram: faixa etária < 1 ano (p=0,005), pneumonia por P. jirovecii (p=0,010), percentual de linfócito T CD4+ nadir <15% (p=0,012), anemia crônica (p=0,012), estágio clínico imunológico grave (p=0,003), infecções bacterianas graves recorrentes(p=0,003) e tuberculose (p=0,037). Ter iniciado TARV antes dos 6 meses de vida (diagnóstico e tratamento precoces) foi associado à sobrevida(OR 2,86, [Intervalo de Confiança (IC) de 95%: 1,12-7,25] p=0,027).O principal diagnóstico registrado para os óbitos foram infecções bacterianas graves (12/21-57%). Foi encontrada uma elevada taxa de sobrevida, com 85,3% de probabilidade de sobrevivência por mais de 10 anos (IC 95% 9,6-10,7). CONCLUSÕES: A maioria das crianças teve diagnóstico tardio da infecção pelo HIV aumentando o risco de progressão para aids e óbito por falta de tratamento precoce. A tendência de mortalidade das crianças infectadas pelo HIV se mostrou uma constante com queda nos dois últimos anos do estudo, e ainda persistem as infecções bacterianas como maior causa de óbito. Portanto, melhoria no cuidado pré-natal e acompanhamento pediátrico com vista ao diagnóstico precoce das crianças infectadas verticalmente devem fazer parte do cuidado integral à criança com aids, o que poderia reduzir a mortalidade destas crianças.

Fatigue Prediction on Fibrin Poly-ε-caprolactone Macroporous Scaffolds

Tissue engineering applications rely on scaffolds that during its service life, either for in-vivo or in vitro applications, are under mechanical solicitations. The variation of the mechanical condition of the scaffold is strongly relevant for cell culture and has been scarcely addressed. Fatigue life cycle of poly-ε-caprolactone, PCL, scaffolds with and without fibrin as filler of the pore structure were characterized both dry and immersed in liquid water. It is observed that the there is a strong increase from 100 to 500 in the number of loading cycles before collapse in the samples tested in immersed conditions due to the more uniform stress distributions within the samples, the fibrin loading playing a minor role in the mechanical performance of the scaffolds

Prediction of genetic gain from selection indices for disease resistance in papaya hybrids

In order to select superior hybrids for the concentration of favorable alleles for resistance to papaya black spot, powdery mildew and phoma spot, 67 hybrids were evaluated in two seasons, in 2007, in a randomized block design with two replications. Genetic gains were estimated from the selection indices of Smith & Hazel, Pesek & Baker, Williams, Mulamba & Mock, with selection intensity of 22.39%, corresponding to 15 hybrids. The index of Mulamba & Mock showed gains more suitable for the five traits assessed when it was used the criterion of economic weight tentatively assigned. Together, severity of black spot on leaves and on fruits, characteristics considered most relevant to the selection of resistant materials, expressed percentage gain of -44.15%. In addition, there were gains for other characteristics, with negative predicted selective percentage gain. The results showed that the index of Mulamba & Mock is the most efficient procedure for simultaneous selection of papaya hybrid resistant to black spot, powdery mildew and phoma spot.

Comparative analysis between statistical and artificial intelligence models in business failure prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Survival Analysis Employed in Predicting Corporate Failure: A Forecasting Model Proposal

In face of the current economic and financial environment, predicting corporate bankruptcy is arguably a phenomenon of increasing interest to investors, creditors, borrowing firms, and governments alike. Within the strand of literature focused on bankruptcy forecasting we can find diverse types of research employing a wide variety of techniques, but only a few researchers have used survival analysis for the examination of this issue. We propose a model for the prediction of corporate bankruptcy based on survival analysis, a technique which stands on its own merits. In this research, the hazard rate is the probability of ‘‘bankruptcy’’ as of time t, conditional upon having survived until time t. Many hazard models are applied in a context where the running of time naturally affects the hazard rate. The model employed in this paper uses the time of survival or the hazard risk as dependent variable, considering the unsuccessful companies as censured observations.

Comparative Analysis between Statistical and Artificial Intelligence Models in Business Failure Prediction

A growing number of predicting corporate failure models has emerged since 60s. Economic and social consequences of business failure can be dramatic, thus it is not surprise that the issue has been of growing interest in academic research as well as in business context. The main purpose of this study is to compare the predictive ability of five developed models based on three statistical techniques (Discriminant Analysis, Logit and Probit) and two models based on Artificial Intelligence (Neural Networks and Rough Sets). The five models were employed to a dataset of 420 non-bankrupt firms and 125 bankrupt firms belonging to the textile and clothing industry, over the period 2003–09. Results show that all the models performed well, with an overall correct classification level higher than 90%, and a type II error always less than 2%. The type I error increases as we move away from the year prior to failure. Our models contribute to the discussion of corporate financial distress causes. Moreover it can be used to assist decisions of creditors, investors and auditors. Additionally, this research can be of great contribution to devisers of national economic policies that aim to reduce industrial unemployment.

Mortality problems in Brazil and in Germany: past-present-future. Learning from each other?

This article was written by a Swiss-German historical demographer after having visited different Brazilian Universities in 1984 as a guest-professor. It aims at promoting a real dialog between developed and developing countries, commencing the discussion with the question: Can we learn from each other? An affirmative answer is given, but not in the superficial manner in which the discussion partners simply want to give each other some "good advice" or in which the one declares his country's own development to be the solely valid standard. Three points are emphasized: 1. Using infant mortality in S. Paulo from 1908 to 1983 as an example, it is shown that Brazil has at its disposal excellent, highly varied research literature that is unjustifiably unknown to us (in Europe) for the most part. Brazil by no means needs our tutoring lessons as regards the causal relationships; rather, we could learn two things from Brazil about this. For one, it becomes clear that our almost exclusively medical-biological view is inappropriate for passing a judgment on the present-day problems in Brazil and that any conclusions so derived are thus only transferable to a limited extent. For another, we need to reinterpret the history of infant mortality in our own countries up to the past few decades in a much more encompassing "Brazilian" sense. 2. A fruitful dialog can only take place if both partners frankly present their problems. For this reason, the article refers with much emprasis to our present problems in dealing with death and dying - problems arising near the end of the demographic and epidemiologic transitions: the superanuation of the population, chronic-incurable illnesses as the main causes of death, the manifold dependencies of more and more elderly and really old people at the end of a long life. Brazil seems to be catching up to us in this and will be confronted with these problems sooner or later. A far-sighted discussion already at this time seems thus to be useful. 3. The article, however, does not want to conclude with the rather depressing state of affairs of problems alternatingly superseding each other. Despite the caution which definitely has a place when prognoses are being made on the basis of extrapolations from historical findings, the foreseeable development especially of the epidemiologic transition in the direction of a rectangular survival curve does nevertheless provide good reason for being rather optimistic towards the future: first in regards to the development in our own countries, but then - assuming that the present similar tendencies of development are stuck to - also in regard to Brazil.

A hybrid PSO-ANFIS approach for short-term wind power prediction in Portugal

The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Wind power prediction plays a key role in tackling these challenges. The contribution of this paper is to propose a new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, for short-term wind power prediction in Portugal. Significant improvements regarding forecasting accuracy are attainable using the proposed approach, in comparison with the results obtained with five other approaches.