Analyzing security protocols using association rule mining

Current studies to analyzing security protocols using formal methods require users to predefine authentication goals. Besides, they are unable to discover potential correlations between secure messages. This research attempts to analyze security protocols using data mining. This is done by extending the idea of association rule mining and converting the verification of protocols into computing the frequency and confidence of inconsistent secure messages. It provides a novel and efficient way to analyze security protocols and find out potential correlations between secure messages. The conducted experiments demonstrate our approaches.

An web content based data mining for car consumption in China

This paper introduces an incremental FP-Growth approach for Web content based data mining and its application in solving a real world problem The problem is solved in the following ways. Firstly, we obtain the semi-structured data from the Web pages of Chinese car market and structure them and save them in local database. Secondly, we use an incremental FP-Growth algorithm for mining association rules to discover Chinese consumers' car consumption preference. To find more general regularities, an attribute-oriented induction method is also utilized to find customer's consumption preference among a range of car categories. Experimental results have revealed some interesting consumption preferences that are useful for the decision makers to make the policy to encourage and guide car consumption. Although the current data we used may not be the best representative of the actual market in practice, it is still good enough for the decision making purpose in terms of reflecting the real situation of car consumption preference under the two assumptions in the context.

Informing decision-making in libraries: informetric research as input to LIS education and practice.(Library and Information Science).

Findings from informetric research represent an important background resource to add to the mix of information useful for resolving difficult and ongoing problems in specific library environments or information service settings. This paper provides examples of informetric research that can be useful input to decision-making in the field of library management and information service provision. This overview takes four of the challenges that Michael Buckland outlined for library research as a way of guiding the discussion of ways that informetric work can be used to inform library decision-making. (1) References are made to relevant informetric work undertaken or conducted in Australia, by Australian researchers, or with Australian data.

Informetrics includes both quantitative and qualitative methods, which when used in combination can provide a rounded set of findings that has great validity for management, policy and service applications. Quantitative methodologies are generally based on bibliometric techniques, such as mining and analysis of data from various bibliographic and textual databases. Qualitative methods include survey, case study and historical approaches. Used in combination, each set of findings adds richness and other perspectives to an analysis.

The isolation and characterisation of humic acids using a variety of alkaline extractants

The investigation into humic acid; chemistry examined the effect the extraction technique used to isolate humic material from the sediment had on the chemical/structural composition and yield of the acid; compared the various isolation techniques used in the literature and developed an extraction technique which minimises the solubilisation of the heavy metals from the inorganic sediment and, examined the complexation capacity of humic acids derived from a sediment source in relation to the heavy metal content and extraction technique.

Extractive transnational corporations, intrastate conflict and peacemaking : frameworks and best practice

This thesis explores the role of mining and oil transnational corporations in corporate peacemaking. That is, helping to bring together warring parties in intrastate conflict to enable them to conduct peace negotiations and then, supporting these negotiations. Key concerns, and new theory, frameworks and best-practice in corporate peacemaking are proposed.

Enzyme-assisted extraction of bioactives from plants

Demand for new and novel natural compounds has intensified the development of plant-derived compounds known as bioactives that either promote health or are toxic when ingested. Enhanced release of these bioactives from plant cells by cell disruption and extraction through the cell wall can be optimized using enzyme preparations either alone or in mixtures. However, the biotechnological application of enzymes is not currently exploited to its maximum potential within the food industry. Here, we discuss the use of environmentally friendly enzyme-assisted extraction of bioactive compounds from plant sources, particularly for food and nutraceutical purposes. In particular, we discuss an enzyme-assisted extraction of stevioside from Stevia rebaudiana, as an example of a process of potential value to the food industry.

Automatic genre identification for content-based video categorization

This paper presents a set of computational features originating from our study of editing effects, motion, and color used in videos, for the task of automatic video categorization. These features besides representing human understanding of typical attributes of different video genres, are also inspired by the techniques and rules used by many directors to endow specific characteristics to a genre-program which lead to certain emotional impact on viewers. We propose new features whilst also employing traditionally used ones for classification. This research, goes beyond the existing work with a systematic analysis of trends exhibited by each of our features in genres such as cartoons, commercials, music, news, and sports, and it enables an understanding of the similarities, dissimilarities, and also likely confusion between genres. Classification results from our experiments on several hours of video establish the usefulness of this feature set. We also explore the issue of video clip duration required to achieve reliable genre identification and demonstrate its impact on classification accuracy.

An investigation into the use of physical modelling for the prediction of various feature types visible from different view points

This paper describes a general purpose flexible technique which uses physical modelling techniques for determining the features of a 3D object that are visible from any predefined view. Physical modelling techniques are used to determine which of many different types of features are visible from a complete set of viewpoints. The power of this technique lies in its ability to detect and parameterise object features, regardless of object complexity. Raytracing is used to simulate the physical process by which object features are visible so that surface properties (eg specularity, transparency) as well as object boundaries can be used in the recognition process. Using this technique occluding and non-occluding edge based features are extracted using image processing techniques and then parameterised. Features caused by specularity are also extracted and qualitative descriptions for these are defined.

A Bayesian framework for learning shared and individual subspaces from multiple data sources

This paper presents a novel Bayesian formulation to exploit shared structures across multiple data sources, constructing foundations for effective mining and retrieval across disparate domains. We jointly analyze diverse data sources using a unifying piece of metadata (textual tags). We propose a method based on Bayesian Probabilistic Matrix Factorization (BPMF) which is able to explicitly model the partial knowledge common to the datasets using shared subspaces and the knowledge specific to each dataset using individual subspaces. For the proposed model, we derive an efficient algorithm for learning the joint factorization based on Gibbs sampling. The effectiveness of the model is demonstrated by social media retrieval tasks across single and multiple media. The proposed solution is applicable to a wider context, providing a formal framework suitable for exploiting individual as well as mutual knowledge present across heterogeneous data sources of many kinds.

Advanced pattern mining for complex sata analysis

The thesis has researched a set of critical problems in data mining and has proposed four advanced pattern mining algorithm to discover the most interesting and useful data patterns highly relevant to the user’s application targets from the data is represented in complex structures.

Realist synthesis : illustrating the method for implementation research

Background
Realist synthesis is an increasingly popular approach to the review and synthesis of evidence, which focuses on understanding the mechanisms by which an intervention works (or not). There are few published examples of realist synthesis. This paper therefore fills a gap by describing, in detail, the process used for a realist review and synthesis to answer the question 'what interventions and strategies are effective in enabling evidence-informed healthcare?' The strengths and challenges of conducting realist review are also considered.
Methods
The realist approach involves identifying underlying causal mechanisms and exploring how they work under what conditions. The stages of this review included: defining the scope of the review (concept mining and framework formulation); searching for and scrutinising the evidence; extracting and synthesising the evidence; and developing the narrative, including hypotheses.
Results
Based on key terms and concepts related to various interventions to promote evidenceinformed healthcare, we developed an outcome-focused theoretical framework. Questions were tailored for each of four theory/intervention areas within the theoretical framework and were used to guide development of a review and data extraction process. The search for literature within our first theory area, change agency, was executed and the screening procedure resulted in inclusion of 52 papers. Using the questions relevant to this theory area, data were extracted by one reviewer and validated by a second reviewer. Synthesis involved organisation of extracted data into evidence tables, theming and formulation of chains of inference, linking between the chains of inference, and hypothesis formulation. The narrative was developed around the hypotheses generated within the change agency theory area.
Conclusions
Realist synthesis lends itself to the review of complex interventions because it accounts for context as well as outcomes in the process of systematically and transparently synthesising relevant literature. While realist synthesis demands flexible thinking and the ability to deal with complexity, the rewards include the potential for more pragmatic conclusions than alternative approaches to systematic reviewing. A separate publication will report the findings of the review.

Racism as a determinant of health: a protocol for conducting a systematic review and meta-analysis

Background: 

Psychological oil price barrier and firm returns

In this paper, we investigate the psychological barrier effect induced by the oil price on firm returns when the oil price reaches US$100 or more per barrel. We find evidence of the negative effect of the US$100 oil price barrier for: (a) the entire sample of 1559 firms listed on the American stock exchanges; (b) both foreign and domestic firms, with domestic firms significantly more affected; (c) the 10 different sizes of firms, with the smaller firms less affected compared to the larger firms; and (d) 17 sectors of firms, with firms in the utilities, mining, and administration sectors being the least affected.

Política de desenvolvimento e o setor de mineração: análise de discursos do governo do Peru no período de 1990 a 2009

Os estudos sobre desenvolvimento, sem dúvida, se mantiveram como um dos últimos bastiões do modernismo nas ciências sociais (Rapley, 2004). Muitos dos dilemas chave em estudos contemporâneos sobre desenvolvimento se centraram nas disjuntivas entre inovação teórica, política e prática (Simon, 2003). No entanto, a discussão que envolve a relação entre desenvolvimento e mineração, que interessa neste estudo, ainda permanece acrítica dentro da literatura dominante. Segundo Graulau (2008), o tema de mineração encontra-se num vaivém entre o favoritismo e a oposição. O estudo sob o ponto de vista normativo da mineração no campo de desenvolvimento mostra a mentalidade econômica de longa data que prevalece nesse campo. No Peru as reformas neoliberais implantadas desde a década 1990 têm promovido fortemente o setor de mineração. Os investimentos nacionais e estrangeiros, o volume das exportações e impostos certamente têm influenciado favoravelmente na economia em termos macroeconômicos, obtendo quantidades consideráveis de divisas (UNCTAD, 2008). Não obstante, a grande mineração parece não ter beneficiado as comunidades envolvidas com a extração de minérios (Barrantes, 2005; Glave e Kuramoto, 2007; Zegarra; Orihuela e Paredes, 2007). A quantidade e gravidade dos conflitos que vem acontecendo evidenciam a resistência ao setor, frente à ação discursiva do Estado peruano sobre o “desenvolvimento” que assegura o que a mineração traz. Neste contexto este estudo tem como objetivo analisar as práticas discursivas das políticas de mineração peruana em relação a construção do discurso de desenvolvimento no período compreendido entre 1990-2009. Com esse objetivo, foi necessário abordar primeiramente as principais teorias sobre desenvolvimento, mineração e mineração no Peru. No que diz respeito à metodologia o presente estudo utilizou duas técnicas de análise: a Análise Crítica de Discurso, baseado no método tridimensional proposto por Fairclough (2001), para realizar a análise de três discursos de representantes da política de mineração peruana, a segunda abordagem utiliza a Análise de Conteúdo de Bardin (2009), para examinar os artigos relacionados à política de mineração entre as principais revistas especializadas do setor–Mineria e Desde Adentro. Foram utilizadas também categorias de análise constantes e convergentes ao conceito de desenvolvimento para orientar a presente pesquisa. Finalmente as conclusões sugerem que as políticas de mineração reproduzidas pelas autoridades do Estado peruano introduziram práticas discursivas sobre desenvolvimento sustentável e que essas se mantêm relacionadas com as novas ordens de discurso: Responsabilidade Social, Minerção Sustentável, Mineração moderna, Gestão ambiental.

Mercury contamination in fanned fish setup on former garimpo mining areas in the Northern Mato Grosso State, Amazonian region, Brazil

The garimpo gold mining activity has released about 2.500 tons of mercury in the Brazilian Amazonian environment in the 1980-1995 period. The northern region of Mato Grosso State, an important gold mining and trading area during the Arnazonian gold rush is now at a turning point regarding its economic future. Nowadays, the activities related to gold mining have only a low relevance on its economy. Thus, the local communities are looking for economic alternatives for the development of the region. Cooperative fish farming is one of such alternatives. However, some projects are directly implemented on areas degraded by the former garimpo activity and the mercury left behind still poses risks, especially by its potential accumulation in fish. The objective of the present study was to evaluate the levels of mercury contamination in two fish farming areas, Paranaita and Alta Floresta, with and without records of past gold-washing activity, respectively. Data such as mercury concentration in fish of different trophic level, size, and weight as well as the water physical and chemical parameters were measured and considered. These preliminary data have shown no significant difference between these two fish fanning areas, relatively to mercury levels in fish. (c) 2004 Elsevier B.V. All rights reserved.