Integration of design of experiment, surface response methodology and multi-layer validation to predict the effect of blanching on colour of tomato juice

Response surface methodology was used to develop models to predict the effect of tomato cultivar, juice pH, blanching temperature and time on colour change of tomato juice after blanching. The juice from three tomato cultivars with adjusted pH levels ranging from 3.9 to 4.6 were blanched at temperatures from 60-100 °C for 1-5 min using the central composite design (CCD). The colour change was assessed by calculating the redness (a/b) and total colour change (∆E) after measuring the Hunter L, a and b values. Developed models for both redness and ∆E were significant (p<0.0001) with satisfactory coefficient of determination (R2 = 0.99 and 0.97) and low coefficient of variation (CV% = 1.89 and 7.23), respectively. Multilevel validation that was implemented revealed that the variation between the predicted and experimental values obtained for redness and ∆E were within the acceptable error range of 7.3 and 22.4%, respectively

Situated regional university incubation: A multi-level stakeholder perspective

From a macro perspective, it is widely acknowledged that University incubation models within a region are important stimulants of economic development through innovation and job creation. With the emergence of quadruple helix innovation ecosystems, universities have had re-evaluate their University incubation activity and models to engage more fully with industry and end users. However, within a given region, the type of University may influence their ability to engage with quadruple helix stakeholders and consequently impact their incubation activity. To date there is a scarcity of research which explores this 'meso' environment and its subsequent impact on University incubation models. Therefore, the aim of this paper is to use a stakeholder lens to explore University Incubation models within unique regional and organisational characteristics and constraints. The research methodology employed was based on a comparative case analysis of incubation of two different Universities within a UK peripheral region. It was found that variances existed in relation to the two universities incubation models which were found to result from both regional (macro environment) and organisational (meso environment) influences (i.e. university type). This research contributes to both regional and national agendas by empirically illustrating the need for appropriate design and tailoring of university incubation models (via acknowledgement of quadruple helix stakeholder influence) to incorporate contextual influences rather than adopting a best practise approach.

A rising e-channel tide lifts all boats? the impact of manufacturer multi-channel encroachment on traditional selling and leasing

Organizing and managing channels of distribution is an important marketing task. Due to the emergence of electronic commerce on the Internet, e-channel distribution systems have been adopted by many manufacturers. However, academic and anecdotal evidence both point to the pressures arising from this new e-channel manufacturing environment. Questions marks therefore remain on how the addition of this e-channel affects the traditional marketing strategies of leasing and selling. We set up several two-period dual-channel models in which a manufacturer sells a durable product through both a manufacturer-owned e-channel and an independent reseller (leaser) who adopts selling (leasing) to consumers. Our main results indicate that, direct selling cost aside, product durability plays an important role in shaping the strategies of all members. With either marketing strategy, the additional expansion of an e-channel territory may secure Pareto gains, in which all members benefit.

Polynomial Model for High-Order and Multi-Carrier Passive Intermodulation Products

Passive intermodulation (PIM) often limits the performance of communication systems, particularly in the presence of multiple carriers. Since the origins of the apparently multiple physical sources of nonlinearity causing PIM in distributed circuits are not fully understood, the behavioural models are frequently employed to describe the process of PIM generation. In this paper, a memoryless nonlinear polynomial model, capable of predicting high-order multi-carrier intermodulation products, is deduced from the third-order two-tone PIM measurements on a microstrip transmission line with distributed nonlinearity. The analytical model of passive distributed nonlinearity is implemented in Keysight Technology’s ADS simulator to evaluate the adjacent band power ratio for three-tone signals. The obtained results suggest that the costly multi-carrier test setups can possibly be replaced by a simulation tool based on the properly retrieved nonlinear polynomial model.

MUSA: A Scalable Multi-Touch and Multi-Perspective Variability Management Tool

Variability management is one of the main activities in the Software Product Line Engineering process. Common and varied features of related products are modelled along with the dependencies and relationships among them. With the increase in size and complexity of product lines and the more holistic systems approach to the design process, managing the ever- growing variability models has become a challenge. In this paper, we present MUSA, a tool for managing variability and features in large-scale models. MUSA adopts the Separation of Concerns design principle by providing multiple perspectives to the model, each conveying different set of information. The demonstration is conducted using a real-life model (comprising of 1000+ features) particularly showing the Structural View, which is displayed using a mind-mapping visualisation technique (hyperbolic trees), and the Dependency View, which is displayed graphically using logic gates.

Face segregation and recognition by cortical multi-scale line and edge coding

Models of visual perception are based on image representations in cortical area V1 and higher areas which contain many cell layers for feature extraction. Basic simple, complex and end-stopped cells provide input for line, edge and keypoint detection. In this paper we present an improved method for multi-scale line/edge detection based on simple and complex cells. We illustrate the line/edge representation for object reconstruction, and we present models for multi-scale face (object) segregation and recognition that can be embedded into feedforward dorsal and ventral data streams (the “what” and “where” subsystems) with feedback streams from higher areas for obtaining translation, rotation and scale invariance.

Face recognition by cortical multi-scale line and edge representations

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.

Face normalization using multi-scale cortical keypoints

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extractions. Simple, complex and end-stopped cells tuned to different spatial frequencies (scales) and/or orientations provide input for line, edge and keypoint detection. This yields a rich, multi-scale object representation that can be stored in memory in order to identify objects. The multi-scale, keypoint-based saliency maps for Focus-of-Attention can be explored to obtain face detection and normalization, after which face recognition can be achieved using the line/edge representation. In this paper, we focus only on face normalization, showing that multi-scale keypoints can be used to construct canonical representations of faces in memory.

B-spline and neuro-fuzzy models design with function and derivative equalities

The design of neuro-fuzzy models is still a complex problem, as it involves not only the determination of the model parameters, but also its structure. Of special importance is the incorporation of a priori information in the design process. In this paper two known design algorithms for B-spline models will be updated to account for function and derivatives equality restrictions, which are important when the neural model is used for performing single or multi-objective optimization on-line.

Integrated multi-scale architecture of the cortex with application to computer vision

Tese de dout., Engenharia Electrónica e de Computadores, Faculdade de Ciência e Tecnologia, Universidade do Algarve, 2007

Recognition of facial expressions by cortical multi-scale line and edge coding

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. Models of visual perception are based on image representations in cortical area V1 and beyond, which contain many cell layers for feature extraction. Simple, complex and end-stopped cells provide input for line, edge and keypoint detection. Detected events provide a rich, multi-scale object representation, and this representation can be stored in memory in order to identify objects. In this paper, the above context is applied to face recognition. The multi-scale line/edge representation is explored in conjunction with keypoint-based saliency maps for Focus-of-Attention. Recognition rates of up to 96% were achieved by combining frontal and 3/4 views, and recognition was quite robust against partial occlusions.

BIMP: A real-time biological model of multi-scale keypoint detection in V1

We present an improved, biologically inspired and multiscale keypoint operator. Models of single- and double-stopped hypercomplex cells in area V1 of the mammalian visual cortex are used to detect stable points of high complexity at multiple scales. Keypoints represent line and edge crossings, junctions and terminations at fine scales, and blobs at coarse scales. They are detected by applying first and second derivatives to responses of complex cells in combination with two inhibition schemes to suppress responses along lines and edges. A number of optimisations make our new algorithm much faster than previous biologically inspired models, achieving real-time performance on modern GPUs and competitive speeds on CPUs. In this paper we show that the keypoints exhibit state-of-the-art repeatability in standardised benchmarks, often yielding best-in-class performance. This makes them interesting both in biological models and as a useful detector in practice. We also show that keypoints can be used as a data selection step, significantly reducing the complexity in state-of-the-art object categorisation. (C) 2014 Elsevier B.V. All rights reserved.

Etude de la structuration laser femtoseconde multi-échelle de verres d’oxydes dopés à l’argent

La structuration laser femtoseconde de verres d’oxydes est aujourd’hui un domaine de recherche en pleine expansion. L’interaction laser-matière est de plus en plus utilisée pour sa facilité de mise en œuvre et les nombreuses applications qui découlent de la fabrication des composants photoniques, déjà utilisés dans l’industrie des hautes technologies. En effet, un faisceau d’impulsions ultracourtes focalisé dans un matériau transparent atteint une intensité suffisante pour modifier la matière en trois dimensions sur des échelles micro et nanométriques. Cependant, l’interaction laser-matière à ces régimes d’intensité n’est pas encore complètement maîtrisée, et les matériaux employés ne sont pas entièrement adaptés aux nouvelles applications photoniques. Par ce travail de thèse, nous nous efforçons donc d’apporter des réponses à ces interrogations. Le mémoire est articulé autour de deux grands volets. Le premier aborde la question de l’interaction de surface de verres avec de telles impulsions lumineuses qui mènent à l’auto-organisation périodique de la matière structurée. L’influence du dopage en ions photosensibles et des paramètres d’irradiation est étudiée afin d’appuyer et de conforter le modèle d’incubation pour la formation de nanoréseaux de surface. À travers une approche innovante, nous avons réussi à apporter un contrôle de ces structures nanométriques périodiques pour de futures applications. Le second volet traite de cristallisation localisée en volume induite en grande partie par l’interaction laser-matière. Plusieurs matrices vitreuses, avec différents dopages en sel d’argent, ont été étudiées pour comprendre les mécanismes de précipitation de nanoparticules d’argent. Ce travail démontre le lien entre la physicochimie de la matrice vitreuse et le caractère hors équilibre thermodynamique de l’interaction qui influence les conditions de nucléation et de croissance de ces nano-objets. Tous ces résultats sont confrontés à des modélisations de la réponse optique du plasmon de surface des nanoparticules métalliques. Les nombreuses perspectives de ce travail ouvrent sur de nouvelles approches quant à la caractérisation, aux applications et à la compréhension de l’interaction laser femtoseconde pour l’inscription directe de briques photoniques dans des matrices vitreuses.

Characterization of the toxic potential of nanomaterials using in vitro cell models

Os nanomateriais são estruturas com uma ou mais dimensões inferiores a 100 nanómetros. Devido à sua pequena dimensão, as nanopartículas apresentam atributos únicos, tais como a sua elevada área superficial relativamente à sua massa, reactividade ou força tênsil. Estas características influenciam grandemente algumas das propriedades dos nanomateriais, como a sua hidrofobicidade, carga ou toxicidade. As propriedades das nanopartículas tornam-nas também muito úteis para o Homem, sendo aplicadas em medicina, farmácia, electrónica, cosmética, vestuário e biotecnologia, entre outras. O aumento de produção e utilização de nanomateriais tem vindo a aumentar também a possibilidade de exposição humana a este tipo de partículas, levando a preocupações relativas ao risco de toxicidade aguda ou crónica. A exposição humana pode ocorrer por diversas vias, sendo as mais relevantes a via inalatória, ingestão ou contacto com a pele. Dependendo do material e do órgão-alvo, a exposição a nanomateriais pode conduzir a diferentes consequências biológicas: a nível dos órgãos, os nanomateriais podem levar a inflamação ou a supressão do sistema imunitário e, a nível celular e molecular, a perturbações na estrutura e integridade do genoma, assim como a interacções com moléculas biológicas e inibição da actividade proteica, entre outras consequências. Um dos nanomateriais mais utilizados são os nanotubos de carbono. Estes são constituídos por grafite cilíndrica disposta numa única camada (designados nanotubos de carbono de parede simples) ou em várias (nanotubos de carbono de parede múltipla). Os nanotubos de carbono apresentam propriedades como resistência e condutividade que os tornam muito úteis em aplicações como aparelhos electrónicos, vestuário ou biomedicina; cada vez mais, portanto, se torna provável a exposição ocupacional ou ambiental a este material. A semelhança estrutural destas partículas com fibras de amianto conduziu a questões relativas à sua segurança, pelo que já foram elaborados diversos estudos relativos aos seus efeitos biológicos. Alguns trabalhos sugerem que os nanotubos de carbono têm a capacidade de produzir toxicidade associada a lesões físicas, à produção de danos oxidativos por interacção com mecanismos celulares, ou a morte celular. Outros trabalhos defendem que estas partículas não causam toxicidade relevante. O projecto de dimensão europeia “NANoREG” surgiu da necessidade de ser desenvolvida legislação e regulamentação apoiadas em conhecimento científico e adequadas à produção e ao uso actual de nanomateriais. Este trabalho teve como objectivos principais a determinação do potencial cito- e genotóxico de um conjunto de nanotubos de carbono de parede múltipla (designados NM-400 a NM-403), e a consequente tentativa de associar este potencial às características físico-químicas dos nanomateriais. Com este objectivo, a exposição por via inalatória foi analisada, pelo uso de duas linhas celulares in vitro provenientes de tecidos do tracto respiratório: epitélio pulmonar (células A549) e epitélio brônquico (células BEAS-2B). A citotoxicidade dos nanotubos de carbono foi analisada com base em três parâmetros. Em primeiro lugar, as células foram contadas após a exposição aos nanomateriais utilizando o corante azul de tripanao para excluir as células inviáveis; a contagem foi realizada 3 e 24 horas após a exposição das células aos nanotubos. Os resultados deste ensaio apontam para a ausência de citotoxicidade após a exposição mais curta, e dados inconsistentes após a mais longa. Em segundo lugar, foi realizado o ensaio clonogénico, que se baseia na capacidade das células de se dividirem após a exposição ao agente em estudo. Este ensaio só foi realizado nas células A549 pois as BEAS-2B não permitem a formação de colónias. Os resultados apontam para uma citotoxicidade após a exposição a todos os nanomateriais, cuja intensidade se relaciona directamente com o tamanho das partículas, assim como ao seu diâmetro e área de superfície. Em terceiro lugar, foram calculados dois índices de viabilidade no ensaio dos Micronúcleos, cujo objectivo é avaliar se as células se dividiram durante a exposição aos nanomateriais em comparação com o controlo, e cujos resultados apresentam incoerências em relação aos outros já referidos. Estes dados podem ser justificados pelas diferenças existentes entre os ensaios, como o tempo de exposição ou a densidade celular. Os efeitos genotóxicos dos nanomateriais foram avaliados com recurso aos ensaios do cometa e dos micronúcleos. O primeiro detecta lesões pequenas e reversíveis nas cadeias de DNA, ao passo que o segundo detecta efeitos irreversíveis ao nível cromossómico, tais como quebras ou perdas de cromossomas. Os resultados do ensaio do cometa sugerem que nenhum dos nanomateriais testados é genotóxico, uma vez que em ambas as linhas celulares e em ambos os tempos de exposição, os resultados são negativos. O ensaio dos micronúcleos, por outro lado, aponta para existência de genotoxicidade de dois dos nanomateriais (NM-401 e NM-402) nas células A549, mas não em células BEAS-2B. Uma possível explicação para estes dados aparentemente contraditórios pode residir na hipótese de estes nanotubos de carbono serem compostos com efeitos aneugénicos, mas não clastogénicos: o ensaio dos micronúcleos permite a detecção de ambos os mecanismos de acção, ao passo que o ensaio do cometa só revela a quebra de cadeias de DNA. Outra justificação para os resultados é a possível influência da perda de viabilidade das células analisadas. Com base nos dados do ensaio clonogénico, estas partículas apresentam elevada citotoxicidade, pelo que os resultados dos ensaios de genotoxicidade, em particular do Ensaio do Cometa, poderão ser afectados por estes efeitos. O meio de cultura usado para expor as células aos nanomateriais também é um parâmetro muito relevante na sua toxicidade. Neste trabalho, foram usados meios de cultura com proteínas, que podem ser adsorvidas pelas partículas e formar uma “corona” em seu redor; este processo pode alterar propriedades importantes dos nanomateriais, entre os quais o seu potencial efeito biológico. Também o método usado para conseguir uma dispersão homogénea de nanomateriais pode conduzir a diferenças nos resultados dos ensaios de toxicidade. Neste estudo, foram observados alguns problemas relativos à perda de homogeneidade das dispersões de nanotubos de carbono, o que pode ter conduzido a que as células fossem expostas a massas de partículas de grandes dimensões conjuntamente com partículas individualizadas. O período durante o qual as células são expostas ao nanomaterial é também um aspecto essencial na produção de efeitos tóxicos. Resumindo, este projecto forneceu informações relativas à toxicidade dos nanotubos de carbono que, complementadas pelas conclusões dos restantes parceiros do projecto europeu, poderão contribuir significativamente para a avaliação de risco e criação de legislação relativamente à utilização de nanomateriais. Na linha celular BEAS-2B, nenhum destes nanomateriais parece produzir efeitos tóxicos, quer a nível de célula, quer a nível de genoma, nas condições experimentais utilizadas. Nas células A549, por outro lado, os três nanomateriais testados parecem ser acentuadamente citotóxicos, e dois deles (NM-401 e NM-402) são também genotóxicos. Em relação a perspectivas futuras, pode-se concluir que nem todos os ensaios de toxicidade existentes actualmente são adequados à análise de nanopartículas, pelo que novas metodologias devem ser desenvolvidas e complementadas por ensaios in vivo. Todos os estudos envolvendo nanomateriais deverão também descrever as características físico-químicas dos materiais usados, de forma a se poderem comparar os resultados com os de outros trabalhos.

A multi-agent-based evolution model of innovation networks in dynamic environments

An innovation network can be considered as a complex adaptive system with evolution affected by dynamic environments. This paper establishes a multi-agent-based evolution model of innovation networks under dynamic settings through computational and logical modeling, and a multi-agent system paradigm. This evolution model is composed of several sub-models of agents' knowledge production by independent innovations in dynamic situations, knowledge learning by cooperative innovations covering agents' heterogeneities, decision-making for innovation selections, and knowledge update considering decay factors. On the basis of above-mentioned sub-models, an evolution rule for multi-agent based innovation network system is given. The proposed evolution model can be utilized to simulate and analyze different scenarios of innovation networks in various dynamic environments and support decision-making for innovation network optimization.