Industrial screening

Wills' Mineral Processing Technology provides practising engineers and students of mineral processing, metallurgy and mining with a review of all of the common ore-processing techniques utilized in modern processing installations. Now in its Seventh Edition, this renowned book is a standard reference for the mineral processing industry. Chapters deal with each of the major processing techniques, and coverage includes the latest technical developments in the processing of increasingly complex refractory ores, new equipment and process routes. This new edition has been prepared by the prestigious J K Minerals Research Centre of Australia, which contributes its world-class expertise and ensures that this will continue to be the book of choice for professionals and students in this field. This latest edition highlights the developments and the challenges facing the mineral processor, particularly with regard to the environmental problems posed in improving the efficiency of the existing processes and also in dealing with the waste created. The work is fully indexed and referenced.

Dual trafficking of Slit3 to mitochondria and cell surface demonstrates novel localization for Slit protein

Drosophila slit is a secreted protein involved in midline patterning. Three vertebrate orthologs of the fly slit gene, Slit1, 2, and 3, have been isolated. Each displays overlapping, but distinct, patterns of expression in the developing vertebrate central nervous system, implying conservation of function. However, vertebrate Slit genes are also expressed in nonneuronal tissues where their cellular locations and functions are unknown. In this study, we characterized the cellular distribution and processing of mammalian Slit3 gene product, the least evolutionarily conserved of the vertebrate Slit genes, in kidney epithelial cells, using both cellular fractionation and immunolabeling. Slit3, but not Slit2, was predominantly localized within the mitochondria. This localization was confirmed using immunoelectron microscopy in cell lines and in mouse kidney proximal tubule cells. In confluent epithelial monolayers, Slit3 was also transported to the cell surface. However, we found no evidence of Slit3 proteolytic processing similar to that seen for Slit2. We demonstrated that Slit3 contains an NH2-terminal mitochondrial localization signal that can direct a reporter green fluorescent protein to the mitochondria. The equivalent region from Slit1 cannot elicit mitochondrial targeting. We conclude that Slit3 protein is targeted to and localized at two distinct sites within epithelial cells: the mitochondria, and then, in more confluent cells, the cell surface. Targeting to both locations is driven by specific NH2-terminal sequences. This is the first examination of Slit protein localization in nonneuronal cells, and this study implies that Slit3 has potentially unique functions not shared by other Slit proteins.

Quantitative evaluation of altered hepatic spaces and membrane transport in fibrotic rat liver

Four animal models were used to quantitatively evaluate hepatic alterations in this study: (1) a carbon tetrachloride control group (phenobarbital treatment only), (2) a CCl4-treated group (phenobarbital with CCl4 treatment), (3) an alcohol-treated group (liquid diet with alcohol treatment), and (4) a pair-fed alcohol control group (liquid diet only). At the end of induction, single-pass perfused livers were used to conduct multiple indicator dilution (MID) studies. Hepatic spaces (vascular space, extravascular albumin space, extravascular sucrose space, and cellular distribution volume) and water hepatocyte permeability/surface area product were estimated from nonlinear regression of outflow concentration versus time profile data. The hepatic extraction ratio of H-3-taurocholate was determined by the nonparametric moments method. Livers were then dissected for histopathologic analyses (e.g., fibrosis index, number of fenestrae). In these 4 models, CCl4-treated rats were found to have the smallest vascular space, extravascular albumin space, H-3-taurocholate extraction, and water hepatocyte permeability/surface area product but the largest extravascular sucrose space and cellular distribution volume. In addition, a linear relationship was found to exist between histopathologic analyses (fibrosis index or number of fenestrae) and hepatic spaces. The hepatic extraction ratio of H-3-taurocholate and water hepatocyte permeability/surface area product also correlated to the severity of fibrosis as defined by the fibrosis index. In conclusion, the multiple indicator dilution data obtained from the in situ perfused rat liver can be directly related to histopathologic analyses.

Monitoring the composition and form of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub-pixel analysis techniques

The majority of the world's population now resides in urban environments and information on the internal composition and dynamics of these environments is essential to enable preservation of certain standards of living. Remotely sensed data, especially the global coverage of moderate spatial resolution satellites such as Landsat, Indian Resource Satellite and Systeme Pour I'Observation de la Terre (SPOT), offer a highly useful data source for mapping the composition of these cities and examining their changes over time. The utility and range of applications for remotely sensed data in urban environments could be improved with a more appropriate conceptual model relating urban environments to the sampling resolutions of imaging sensors and processing routines. Hence, the aim of this work was to take the Vegetation-Impervious surface-Soil (VIS) model of urban composition and match it with the most appropriate image processing methodology to deliver information on VIS composition for urban environments. Several approaches were evaluated for mapping the urban composition of Brisbane city (south-cast Queensland, Australia) using Landsat 5 Thematic Mapper data and 1:5000 aerial photographs. The methods evaluated were: image classification; interpretation of aerial photographs; and constrained linear mixture analysis. Over 900 reference sample points on four transects were extracted from the aerial photographs and used as a basis to check output of the classification and mixture analysis. Distinctive zonations of VIS related to urban composition were found in the per-pixel classification and aggregated air-photo interpretation; however, significant spectral confusion also resulted between classes. In contrast, the VIS fraction images produced from the mixture analysis enabled distinctive densities of commercial, industrial and residential zones within the city to be clearly defined, based on their relative amount of vegetation cover. The soil fraction image served as an index for areas being (re)developed. The logical match of a low (L)-resolution, spectral mixture analysis approach with the moderate spatial resolution image data, ensured the processing model matched the spectrally heterogeneous nature of the urban environments at the scale of Landsat Thematic Mapper data.

The measurement of actual acidity in acid sulfate soils and the determination of sulfidic acidity in suspension after peroxide oxidation

Improvements to the routine methods for the determination of actual acidity in suspension for acid sulfate soils (ASS) are introduced. The titratable sulfidic acidity (TSA) results using an improved peroxide-based method were compared with the theoretical acidity predicted by the chromium reducible sulfur method for 9 acid sulfate soils. The regression between these 2 measures of sulfidic acidity was highly significant, the slope of the regression line not significantly different from unity (P = 0.05) and the intercept not significantly different from zero. This contrasts with results of other workers using earlier peroxide oxidation methods, where TSA substantially underestimated the theoretical acidity predicted by reduced inorganic sulfur analysis. Comparison was made between the 2 principal measurements from the improved peroxide method (TSA and S-POS), with S-POS converted to theoretical sulfidic acidity to allow comparison. The relationship between these 2 measurements was highly significant. The effects of titration in suspension, as well as raising titration end points to pH 6.5, were investigated, principally with respect to the titratable actual acidity (TAA) result. TAA results obtained by KCl extraction were compared with those obtained using BaCl2, MgCl2, and water extraction. TAA in 1 M KCl suspensions titrated to pH 6.5 agreed well with titratable actual acidity measured using the 25-h extraction approach of the Lin et al. (2000a) BaCl2 method. Both BaCl2 and KCl solutions were ineffective at fully recovering acidity from synthetic jarosite without repeated extraction and titration. The application of correction factors for the estimation of total actual acidity in ASS is not supported by the results of this investigation. Acid sulfate soils that contain substantial quantities of jarosite or other acid-producing but relatively insoluble sulfate minerals continue to prove problematic to chemically analyse; however, an approach for estimating this component is discussed.

Variables affecting the fine grinding of minerals using stirred mills

Base metal resources are becoming more fine-grained and refractory and minerals separation processes require these ores to be milled to increasingly finer sizes. To cope with very fine grinding to below a P-80 of approximately 15 mum stirred milling technology has been adopted from other industries Neither this technology, nor the basic concepts of fine grinding, are well understood by the minerals processing industry. Laboratory studies were therefore carried out in order to investigate fine milling using different types of stirred mills. The variables analysed were stirrer speed, grinding media type and size, slurry solids content as well as the feed and product size. The results of the testwork have shown that all of these variables affect the grinding efficiency. The ratio of media size to material size was found to be of particular significance. The results were also analysed using the stress intensity approach and the optimum stress intensity ranges for the most efficient grinding were determined. Application of the results for process optimisation in the industrial size units is also discussed in this paper. (C) 2003 Elsevier Science Ltd. All rights reserved.

Influence of planting date, method of handling and seed size on supersweet sweet corn seed quality

A supersweet sweet corn hybrid, Pacific H5, was planted at weekly intervals (P-1 to P-5) in spring in South-Eastern Queensland. All plantings were harvested at the same time resulting in immature seed for the last planting (P-5). The seed was handled by three methods: manual harvest and processing (M-1), manual harvest and mechanical processing (M-2) and mechanical harvest and processing (M-3), and later graded into three sizes (small, medium and large). After eight months storage at 12-14degreesC, seed was maintained at 30degreesC with bimonthly monitoring of germination for fourteen months and seed damage at the end of this period. Seed quality was greatest for M-1 and was reduced by mechanical processing but not by mechanical harvesting. Large and medium seed had higher germination due to greater storage reserves but also more seed damage during mechanical processing. Immature seed from premature harvest (P-5) had poor quality especially when processed mechanically and reinforced the need for harvested seed to be physiologically mature.

Utilização de ultrassom na conservação de suco de laranja : efeito sobre características físico-químicas, enzimáticas, microbiológicas e sensoriais

O consumo de suco de frutas vem aumentando no Brasil. Entre 2002 e 2009 o consumo de sucos, sejam eles concentrados, em pó, sucos ou néctares, aumentou em 21%. Devido ao seu sabor agradável e doce, e ao seu valor nutricional, o suco de laranja é o suco mais comum fabricado pela indústria de processamento de bebidas. Diversos fatores podem afetar a qualidade do suco de laranja. A microbiota típica presente no suco de laranja pode ser proveniente de várias etapas de sua produção. Em relação às enzimas, a pectinametilesterase (PME) é a principal causadora de alterações em suco laranja. A pasteurização e a esterilização comercial são os métodos de conservação mais comuns utilizados para inativar enzimas e micro-organismos, porém podem causar efeitos adversos em relação às características sensoriais (cor, sabor, aroma, e outros) dos produtos. A tecnologia de ultrassom vem sendo estudada recentemente como uma forma de conservar os alimentos sem causar efeitos indesejáveis como os provocados pelos tratamentos térmicos. O objetivo deste trabalho foi avaliar a utilização da tecnologia de ultrassom e de ultrassom aliado a temperaturas brandas, como forma de conservar suco de laranja. Para isto, foram analisadas a contagem de mesófilos totais e bolores e leveduras, a atividade da pectinametilesterase, o teor de vitamina C, a cor, o pH, o teor de sólidos solúveis e a estabilidade em relação à turbidez. Ainda, avaliou-se a aceitação sensorial de suco de laranja submetido à termossonicação. Os resultados foram comparados com os obtidos para o suco natural e o suco pasteurizado. Utilizou-se um ultrassom de 40 kHz, associado às temperaturas de 25 ºC, 30 ºC, 40 ºC, 50 ºC e 60 ºC durante 10 minutos. Os tratamentos utilizando ultrassom a 50 ºC e 60 ºC foram capazes de reduzir a contagem de bolores e leveduras e de mesófilos totais, apresentando uma redução de 3 ciclos logarítmicos. Resultado similar foi encontrado quando realizado o tratamento térmico a 90 ºC por 30 segundos. Observou-se que a aplicação da termossonicação permitiu uma redução significativa na atividade de PME e uma menor perda de vitamina C. O tratamento que apresentou melhor redução na atividade de PME foi utilizando ultrassom 40 kHz com temperatura de 60 ºC. Em relação ao ácido ascórbico, quanto menor a temperatura utilizada em conjunto com a sonicação, menor foi a perda deste composto. O teor de sólidos solúveis, o pH e a cor do suco não foram alterados ao longo do processamento. Avaliando a aceitabilidade do suco, verificou-se que a cor não foi influenciada por nenhum tratamento. Em relação ao aroma, sabor e aceitação global o suco submetido a termossonicação obteve aceitação sensorial superior à encontrada para o suco pasteurizado. Concluiu-se então que a utilização da termossonicação como uma forma de conservação para suco de laranja é viável.

Estudo da cinética e influência dos métodos de secagem sobre as propriedades físico-químicas de soro de leite

O soro de leite é um subproduto da fabricação do queijo, seja por acidificação ou por processo enzimático. Em condições ideais, a caseína do leite se agrega formando um gel, que posteriormente cortado, induz a separação e liberação do soro. É utilizado de diversas formas em toda a indústria alimentícia, possui rica composição em lactose, sais minerais e proteínas. A desidratação é um dos principais processos utilizados para beneficiamento e transformação do soro. Diante disto, o objetivo deste trabalho foi avaliar a influência dos métodos de secagem: liofilização, leito de espuma (nas temperaturas de 40, 50, 60, 70 e 80ºC) e spray-dryer (nas temperaturas de 55, 60, 65, 70 e 75ºC), sobre as características de umidade, proteína, cor e solubilidade do soro, bem como estudar o seu processo de secagem. O soro foi obtido e desidratado após concentração por osmose reversa, testando 11 tratamentos, em 3 repetições, utilizando um delineamento inteiramente casualizado. Os resultados demonstraram que o modelo matemático que melhor se ajustou foi o modelo de Page, apresentado um coeficiente de determinação ajustado acima de 0,98 e erro padrão da regressão em todas as temperaturas abaixo de 0,04 para o método por leito de espuma. Para o método de liofilização os respectivos valores foram 0,9975 e 0,01612. A partir disso, pode-se elaborar um modelo matemático generalizado, apresentando um coeficiente de determinação igual a 0,9888. No caso do leito de espuma, observou-se que à medida que se aumenta a temperatura do ar de secagem, o tempo de secagem diminui e os valores do coeficiente de difusão efetiva aumentam. Porém, a redução no tempo de secagem entre os intervalos de temperatura, diminui com o aumento da mesma. A energia de ativação para a difusão no processo de secagem do soro foi de 26,650 kJ/mol e para todas as avaliações físico-químicas e tecnológicas, a análise de variância apresentou um valor de F significativo (p<0,05), indicando que há pelo menos um contraste entre as médias dos tratamentos que é significativo.

Cultivo in vitro de Crambe abyssinica Hochst. : germinação, micropropagação, estabilidade genética e anatomia foliar

Crambe (Crambe abyssinica) pertence à família Brassicaceae, originário da Etiópia e principalmente destinado à produção de forragem (30 a 32% de proteína bruta). Atualmente, tem sido bastante cultivado visando à extração de óleo vegetal. Com os atuais incentivos à busca de fontes de energias renováveis, o cultivo de crambe vem ganhando papel de destaque na produção de biodiesel por suas diversas vantagens, como: (a) rápido ciclo de vida (colhida em torno de 90 dias); (b) alta produção de biomassa; (c) alta produtividade de sementes (1000 e 1500 kg ha-1); (d) menor custo de produção em relação a outras fontes oleaginosas, como, canola, girassol e soja; (e) um percentual de óleo total na semente entre 32 e 38%, superando, por exemplo, a soja; (f) potencial de fitorremediação, eficiente na descontaminação de arsênio, cromo e outros metais pesados; e (g) elevado percentual de ácido erúcico (50 a 60%) sendo útil na indústria de plástico e lubrificante. Devido aos poucos trabalhos realizados com crambe, abre-se um vasto campo de investigações científicas que tenham como objetivo desenvolver as potencialidades dessa cultura e, consequentemente, melhorar os aspectos agronômicos e tecnológicos para seu emprego na indústria de biodiesel. Nesse contexto, as técnicas de cultivo in vitro foram importantes tanto para a propagação massal, quanto como ferramenta para uma possível aplicação de outras técnicas biotecnológicas, contribuindo para uma produção homogênea, fiel e em larga escala. Portanto, este trabalho teve como objetivo geral avaliar as condições mais favoráveis à germinação, estabelecimento in vitro e micropropagação de Crambe abyssinica Hochst., além de verificar possíveis alterações genéticas e anatômicas, possibilitando a regeneração e produção de plântulas viáveis. Para a germinação e estabecimento in vitro de crambe, as condições mais favoráveis foram em meio B5 ou WPM, na presença ou ausência de pericarpo e na presença de luz. Na micropropagação dessa espécie, uma frequência satisfatória de regeneração de brotos foi obtida a partir de segmentos apicais utilizados como explante em meio contendo 5 μM de BAP (6- benzilaminopurina), e o alongamento foi satisfatório com 1 μM de GA3 (ácido giberélico). Os marcadores moleculares ISSR (Inter-Simples Sequence Repeats) utilizados para a análise da estabilidade genética indicaram que o segmento apical de crambe é um explante confiável para a micropropagação de plantas geneticamente verdadeiras (true-to-tipe), ou seja, mantém a estabilidade genética. As diversas fontes de citocininas e concentrações utilizadas neste trabalho não promoveram mudanças, no sentido de alterar a organização e/ou a espessura em relação ao controle, e as alterações observadas na estrutura e espessura das folhas dos tratamentos de aclimatização prejudicaram o processo de estabelecimento da plântula ex vitro. Contudo, existe a necessidade de um enraizamento e aclimatização eficiente para completa propagação in vitro de crambe. Portanto, este protocolo de regeneração de plantas in vitro de crambe pode ser útil no processo de criação e desenvolvimento de novas cultivares em um tempo mais curto e no melhoramento genético usando explantes apicais.

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.

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.

Current trends in the global tourism industry: evidence from the United States

Tourism is one of the largest U.S. industries, serving millions of international and domestic tourists yearly. Tourists visit the U.S. to see natural wonders, cities, historic landmarks, and entertainment venues. Americans seek similar attractions as well as recreation and vacation areas. Tourism competes in the global market, so it is important to understand current trends in the U.S. travel industry. Therefore, this article offers insight into important trends and suggests strategies for policy makers involved in the travel and tourism industry.

Tuning Iris Recognition for Noisy Images

The use of iris recognition for human authentication has been spreading in the past years. Daugman has proposed a method for iris recognition, composed by four stages: segmentation, normalization, feature extraction, and matching. In this paper we propose some modifications and extensions to Daugman's method to cope with noisy images. These modifications are proposed after a study of images of CASIA and UBIRIS databases. The major modification is on the computationally demanding segmentation stage, for which we propose a faster and equally accurate template matching approach. The extensions on the algorithm address the important issue of pre-processing that depends on the image database, being mandatory when we have a non infra-red camera, like a typical WebCam. For this scenario, we propose methods for reflection removal and pupil enhancement and isolation. The tests, carried out by our C# application on grayscale CASIA and UBIRIS images show that the template matching segmentation method is more accurate and faster than the previous one, for noisy images. The proposed algorithms are found to be efficient and necessary when we deal with non infra-red images and non uniform illumination.

Symbolic Knowledge Extraction from Trained Neural Networks Governed by Lukasiewicz Logics

This work describes a methodology to extract symbolic rules from trained neural networks. In our approach, patterns on the network are codified using formulas on a Lukasiewicz logic. For this we take advantage of the fact that every connective in this multi-valued logic can be evaluated by a neuron in an artificial network having, by activation function the identity truncated to zero and one. This fact simplifies symbolic rule extraction and allows the easy injection of formulas into a network architecture. We trained this type of neural network using a back-propagation algorithm based on Levenderg-Marquardt algorithm, where in each learning iteration, we restricted the knowledge dissemination in the network structure. This makes the descriptive power of produced neural networks similar to the descriptive power of Lukasiewicz logic language, minimizing the information loss on the translation between connectionist and symbolic structures. To avoid redundance on the generated network, the method simplifies them in a pruning phase, using the "Optimal Brain Surgeon" algorithm. We tested this method on the task of finding the formula used on the generation of a given truth table. For real data tests, we selected the Mushrooms data set, available on the UCI Machine Learning Repository.