Synthese und Charakterisierung neuer Stärkederivate für die klinische Anwendung

Ein neuartiges, mehrstufiges Syntheseverfahren wurde zur Darstellung von unterschiedlichen Stärkederivaten (Ether und Ester) entwickelt, die hinsichtlich ihres Eigenschaftsprofils und ihrer Reinheit für die klinische Anwendung als Blutvolumenersatzmittel geeignet sind. Die Synthesen wurden dahingehend gestaltet, dass Produkte mit einer hohen Regioselektivität resultierten. Dabei konnten sämtliche Reaktionsschritte, die zur Modifikation der ursprünglich eingesetzten Wachsmais- und Kartoffelstärken notwendig waren, in einem homogenen, wäss-rigen System ohne zwischenzeitliche Aufarbeitung in einem Eintopfverfahren durchgeführt werden. Die auf diese Weise bevorzugt synthetisierten Carboxymethylstärken wurden mit NMR-spektroskopischen Methoden und GPC-MALLS strukturell eingehend charakterisiert. Mit eigens entwickelten Enzym-Assays konnten essentielle Informationen über die physiolo-gische Wirksamkeit der verschiedenen Stärkederivate in vitro gewonnen werden. Die Ergebnisse konnten mit Untersuchungen an Humanblut verifiziert werden.

Morphological routine proposal to extraction of highways in digital images of high resolution

This research proposes to apply techniques of Mathematics Morphology to extract highways in digital images of high resolution, targeting the upgrade of cartographic products. Remote Sensing data and Mathematical Morphological techniques were integrated in the process of extraction. Mathematical Morphology's objective is to improve and extract the relevant information of the visual image. In order to test the proposed approach some morphological operators related to preprocess, were applied to the original images. Routines were implemented in the MATLAB environment. Results indicated good performances by the implemented operators. The integration of the technologies aimed to implement the semiautomatic extraction of highways with the purpose to use them in processes of cartographic updating.

Ecofisiologia de Clausena excavata Burm. F. (Rutaceae), uma espécie exótica invasora

Pós-graduação em Ciências Biológicas (Biologia Vegetal) - IBRC

Arquitectura em Terra

A presente dissertação tem como tema central um modelo construtivo de arquitectura em terra, designadamente o tabique. Este modelo construtivo ancestral de alvenarias reserva na sua génese inúmeras particularidades, que vão desde as mais variadas formas de concepção do modelo por parte dos diferentes povos espalhados pelo mundo aos valiosos contributos sociais e ambientais. Na sua essência, o tabique foi muito utilizado por pessoas de parcos recursos económicos em soluções, por vezes muito engenhosas, levando-as a recorrer à mãe natureza para extrair dela os materiais necessários para a construção das suas casas. Um pouco por todo o mundo existem exemplares deste modelo tradicional contribuindo activamente para o enriquecimento dum vasto espólio de arquitectura em terra, matéria esta que tem vindo a ganhar um novo alento de acordo com as actuais “políticas" ecológicas. Deste modo e ao abrigo dos princípios gerais da conservação e restauro do património, o tabique detém informação relevante no que respeita à sustentabilidade do planeta, tornando o tema mais apelativo ao debate e à planificação de novas acções, envolvendo cada vez mais os profissionais em prol de um objectivo que garanta ao planeta um futuro mais próspero e equilibrado.

Data Mining for Network Intrusion Detection : A comparison of data mining algorithms and an analysis of relevant features for detecting cyber-attacks

Data mining can be defined as the extraction of implicit, previously un-known, and potentially useful information from data. Numerous re-searchers have been developing security technology and exploring new methods to detect cyber-attacks with the DARPA 1998 dataset for Intrusion Detection and the modified versions of this dataset KDDCup99 and NSL-KDD, but until now no one have examined the performance of the Top 10 data mining algorithms selected by experts in data mining. The compared classification learning algorithms in this thesis are: C4.5, CART, k-NN and Naïve Bayes. The performance of these algorithms are compared with accuracy, error rate and average cost on modified versions of NSL-KDD train and test dataset where the instances are classified into normal and four cyber-attack categories: DoS, Probing, R2L and U2R. Additionally the most important features to detect cyber-attacks in all categories and in each category are evaluated with Weka’s Attribute Evaluator and ranked according to Information Gain. The results show that the classification algorithm with best performance on the dataset is the k-NN algorithm. The most important features to detect cyber-attacks are basic features such as the number of seconds of a network connection, the protocol used for the connection, the network service used, normal or error status of the connection and the number of data bytes sent. The most important features to detect DoS, Probing and R2L attacks are basic features and the least important features are content features. Unlike U2R attacks, where the content features are the most important features to detect attacks.

Is philanthropy relevant? a study of professional advisers in Australia

CPNS’ new Working Paper examines the latest findings from a national survey of professional advisers on the topic of philanthropy assistance to high-net-worth individuals. Findings confirm a growing willingness within the Australian advisory sector to provide philanthropy advice to clients with means, although the rate of change has slowed since 2005. Advisers are now more likely to see benefits in providing this type of counselling, as well as benefits for their clients in engaging in philanthropy.

How relevant is tourism research

One of the definitions of the term myth is ‘an unproved or false collective belief that is used to justify a social institution’ (see http://dictionary.reference.com/browse/myth). Before we are criticized for suggesting such an irreverent thought might apply to tourism academia, readers must recognize that organizations and industries often operate using shared collective myths (see Meyer and Rowan 1977). Institutionalized rules and processes function as myths that provide legitimacy. The question of interest in this paper is not in the context of the quality of tourism academic research output, which is addressed by other papers in this research probe section. Rather, of importance is enhancing understanding of the extent to which our collective knowledge, legitimized through publishing in peer reviewed academic publications, is proving of value to industry stakeholders, an axiom that appears to be largely unquestioned and unproven.

Study of industrially relevant boundary layer and axisymmetric flows, including swirl and turbulence

Micropolar and RNG-based modelling of industrially relevant boundary layer and recirculating swirling flows is described. Both models contain a number of adjustable parameters and auxiliary conditions that must be either modelled or experimentally determined, and the effects of varying these on the resulting flow solutions is quantified. To these ends, the behaviour of the micropolar model for self-similar flow over a surface that is both stretching and transpiring is explored in depth. The simplified governing equations permit both analytic and numerical approaches to be adopted, and a number of closed form solutions (both exact and approximate) are obtained using perturbation and order of magnitude analyses. Results are compared with the corresponding Newtonian flow solution in order to highlight the differences between the micropolar and classical models, and significant new insights into the behaviour of the micropolar model are revealed for this flow. The behaviour of the RNG-bas based models for swirling flow with vortex breakdown zones is explored in depth via computational modelling of two experimental data sets and an idealised breakdown flow configuration. Meticulous modeling of upstream auxillary conditions is required to correctly assess the behavior of the models studied in this work. The novel concept of using the results to infer the role of turbulence in the onset and topology of the breakdown zone is employed.

Subchondral bone osteoblasts can induce chondrocyte mineralization during osteoarthritis and this process is relevant to cartilage degradation

Pathological mineralization of articular cartilage is a characteristic feature of osteoarthritis (OA); however, the underlying mechanisms, and their relevance to cartilage degeneration, are not clear. The involvement of subchondral bone changes in OA have been reported previously with the characterization of abnormal subchondral bone mineral density (BMD), osteiod volume, altered bone mechanical parameters and an increase in bone turnover markers. A number of osteoarthritic animal models have demonstrated that subchondral bone changes often precede cartilage degeneration. In this study site specific localization of mineralization markers were detected in the OA cartilage. Chondrocytes and osteoblasts derived from OA cartilage and subchondral bone showed a significant increase in the mRNA expressions of mineralization markers. Interestingly, osteoblasts from OA subchondral bone could significantly decrease cartilage matrix expression; whereas, increase mineralization of chondrocytes (Figure 1). Osteogenic factors, such as CBFA1, ALP, and type X collagen (Col-X), were detected in chondrocytes under mineralization conditions (Figure 2). Furthermore, chondrocyte mineralization was followed by increased mRNA and protein levels of MMP-2, MMP-9 and MMP-13, all of which are detrimental to cartilage integrity in vivo. The data reported here suggests that the upregulation of subchondral bone-mineralization, typical of OA progression, causes cartilage mineralization, and that the mineralization of chondrocytes induce increased MMP levels with a subsequent degradation of the articular cartilage.

Are alphabetic language-derived models of L2 reading relevant to L1 logographic background readers?

In this paper, we argue that second language (L2) reading research, which has been informed by studies involving first language (L1) alphabetic English reading, may be less relevant to L2 readers with non-alphabetic reading backgrounds, such as Chinese readers with an L1 logographic (Chinese character) learning history. We provide both neuroanatomical and behavioural evidence from Chinese language reading studies to support our claims. The paper concludes with an argument outlining the need for a universal L2 reading model which can adequately account for readers with diverse L1 orthographic language learning histories.