A conceptual matrix model for biological data processing

This paper proposes a conceptual matrix model with algorithms for biological data processing. The required elements for constructing a matrix model are discussed. The representative matrix-based methods and algorithms which have potentials in biological data processing are presented / proposed. Some application cases of the model in biological data processing are studied, which show the applicability of this model in various kinds of biological data processing. This conceptual model established a framework within which biological data processing and mining could be conducted. The model is also heuristic to other applications.

For goodness sake! Postlogographically de-(dis)positioning education research

How are education researchers and their research now positioned? Where are education research and researchers now positioned in the public/private debate? What is the position of practitioner research in these circumstances? My paper introduces 'post logography' as a researching trope for perturbing structuralist analytic methods towards interpreting post structuralising complexities that challenge the 'positioning' of education/research/researchers.

I discuss interpreting researching with and in (with-in) educating as intertwining ways, for turning the analytical objectivity that 'positions' subjective 'facts' as essentialised 'goods', towards exploring generative states of 'goodness'.

Education and its research are typically cast as separate constructs (like teaching and outcomes) for defining the subjectification of educational objects as valuable 'goods' - especially those with private economic value.

I argue that researched educational 'goods' are mostly teaching and outcomes focussed, and mainly privately positioned, whereas researching with-in educating for 'goodness' concerns a public disposition of exploring-learning-generativity for social knowing-acting.

I am theorising that through postlogographically de-positioning the predominance of 'facts' as private 'goods', and thereby recognising interpretive states concerning and generating 'goodness', the reductive polarisation of education/research, public/private, theorist/practitioner turns towards understanding complex continua for exploring-learning-generativity, which introduce new horizons of significance for social knowing-acting.

Australian films at large: expanding the evidence about Australian cinema performance

International markets have in recent years become a critical component of the business model for Hollywood cinema, opening up a renewed interest in the global dimensions of film diffusion. Smaller film-producing nations such as Denmark have similarly emphasised global distribution as a key component of the industry's success. Typically, however, claims for Australian film industry success rely almost exclusively on a film's domestic box office performance. This paper considers the possibilities for an expanded approach to measuring success and failure in the Australian film industry. Adopting analytic methods from cinema studies, cultural economics and geo-spatial sciences, this paper will examine the international theatrical circulation of Australian films using a unique global database of cinema showtimes. This data set captures all formal film screenings in 47 countries over an 18-month period ending 1 June 2014 and enables detailed empirical study of the locations visited by Australian-produced films. In conjunction with relevant box office data and contextual critical commentary, we propose a revised and expanded ‘film impact rating’ for assessing the reported performance of Australian films.

Location dependency and sport sponsors : a factor analytic study

Theories explaining the mechanics of sport sponsorship relationships arc underdeveloped (Gilbert, 1 988; Hock, Gendall, & West, 1990; Pope, 1 998), bolstered by studies lacking systematic methods (Kuzma, Shanklin, & McCall, 1993) and tending toward broad, descriptive, macro-level analysis (Sandler & Shani, 1993). This paper attempts to redress this empirical chasm in a small way by examining an element of the sponsorship relationship. Specifically this paper explores the importance of one particular mode of sponsorship delivery: the location of a venue containing sponsor affiliations or what has been named location dependency. Location dependency of sport sponsors has been shown to be a pivotal determinant when devising sponsorship proposals or when assessing the attractiveness of a sponsorship opportunity (Wester- beek, 2000). Factor analysis was used to determine if sponsors' response patterns would deliver a number of constructs that could be related to the concept of location dependency. Factor analysis revealed five factors that principally reinforced the notion of location dependency of sponsorship. T-tests delivered significant differences between location dependent and location independent sponsors on some of the factors. The results of this study suggest that appreciating the concept of location dependency may assist companies in the effective discharge of their sponsorship decisions.

Alteration of the pharmacokinetics of COL-3, a matrix metalloproteinase inhibitor, due to actue gastrointestinal tosicity of doxorubicin

Purpose Combination of COL-3, a matrix metalloproteinase inhibitor, and doxorubicin (DOX) might be a promising anticancer regimen. The present study was to examine the potential pharmacokinetic interactions and toxicity profile following their coadministration in rats.
Methods</b> Normal rats were treated with single agent or different combinations with oral or intravenous COL-3 and DOX, and the bile-duct cannulated (BDC) rats received oral COL-3 plus DOX. In a separate disposition study, the effects of DOX on the biliary, urinary, and fecal excretion of COL-3 were examined. In addition, the effects of DOX on in vitro protein binding, metabolism, and transport of COL-3 across Caco-2 monolayers were investigated.
Results COL-3 did not affect the pharmacokinetics of DOX in rats. However, treatment with DOX significantly decreased the oral absorption, and prolonged the elimination, of COL-3 in the normal rats, but not in the BDC rats. DOX did not alter the biliary and urinary excretion of COL-3, but significantly decreased the fecal excretion of COL-3. DOX significantly enhanced the basolateral to apical flux of COL-3 across Caco-2 monolayers, but had no apparent effects on the protein binding and metabolism of COL-3. The combination of DOX with oral COL-3 did not significantly (p > 0.05) increase the acute diarrhea score and intestinal damage compared to rats receiving DOX alone.
Conclusions These results indicated that DOX altered the oral absorption and elimination of COL-3, largely resulting from gastrointestinal toxicity caused by biliary excretion of DOX. Further studies are required to explore the efficacy and optimized dosage regimen of this promising combination.

The use of analytic hierarchy process to incorporate stakeholder preferences into regional forest planning

Forest management decisions are often characterised by complexity, irreversibility and uncertainty. Much of the complexity arises from the multiple-use nature of forest goods and services, difficulty in monetary valuation of ecological services and the involvement of numerous stakeholders. Under these circumstances, conventional methods such as cost-benefit analysis are ill-suited to evaluate forest decisions. The Analytic Hierarchy Process (AHP), can be useful in regional forest planing as it can accommodate conflictual, multidimensional, incommensurable and incomparable set of objectives. The objective of this paper is to examine the scope and feasibility of the AHP in incorporating stakeholder preferences into regional forest planning. The Australian Regional Forest Agreement Programme is taken as an illustrative case for the analysis. The results show that the AHP can formalize public participation in decision making and increase the transparency and the credibility of the process.

Meta-philosophy of religion : the analytic-continental divide in philosophy of religion

How is the philosophical study of religion best pursued? Responses to this meta-philosophical question tend to recapitulate the analytic-Continental divide in philosophy in general. My aim is to examine the nature of this divide, particularly as it has manifested itself in the philosophy of religion. I begin with a comparison of the stylistic differences in the language of the two traditions, taking the work of Alvin Plantinga and John Caputo as exemplars of the analytic and Continental schools respectively. In order to account for these stylistic divergences, however, it is necessary to delve further into meta-philosophy. I go on to show how each philosophical school models itself on different theoretical practices, the analytic school mimicking the scientific style of inquiry, while in Continental philosophy it is the arts and humanities rather than the sciences that provide the model for philosophical discourse. By situating themselves in such different genres,  analytic and Continental philosophers have developed contrasting, if not mutually exclusive, methods for pursuing the philosophy of religion.

Changes in the composition of the extracellular matrix in patellar tendinopathy

Objective: To compare the chemical levels and mRNA expression of proteoglycan and collagen in normal human patellar tendons and tendons exhibiting chronic overuse tendinopathy.

Methods</b>: Sulfated glycosaminoglycan and hydroxyproline content were investigated by spectrophotometric measurement using papain-digested samples. Deglycosylated proteoglycan core proteins were analysed by Western blot using specific antibodies. Total mRNA isolated from samples of frozen tendons was assayed by relative quantitative RT-PCR for decorin, biglycan, fibromodulin, versican, aggrecan, and collagens Type I, II and III and normalised to glyceraldehyde-3-phosphate dehydrogenase.

Results: There was a significant increase in sulfated glycosaminoglycan content in pathologic tendons compared to normal. This was attributed to an increased deposition of the large aggregating proteoglycans versican and aggrecan and the small proteoglycans biglycan and fibromodulin, but not decorin. Aggrecan and versican were extensively degraded in both normal and pathologic tendons, biglycan was more fragmented in the pathologic tendons while predominantly intact fibromodulin and decorin were present in normal and pathologic tendons. There was a greater range in total collagen content but no change in the level of total collagen in pathologic tendons. There were no significant differences between the pathologic and normal tendon for all genes, however p values close to 0.05 indicated a trend in downregulation of Type I collagen and fibromodulin, and upregulation in versican and Type III genes in pathologic tissue.

Conclusion: The changes in proteoglycan and collagen levels observed in patellar tendinopathy appear to be primarily due to changes in the metabolic turnover of these macromolecules. Changes in the expression of these macromolecules may not play a major role in this process.

Selecting the individual numerical scale and prioritization method in the analytic hierarchy process : a 2-tuple fuzzy linguistic approach

The validity of the priority vector used in the analytic hierarchy process (AHP) relies on two factors: the selection of a numerical scale and the selection of a prioritization method. The traditional AHP selects only one numerical scale (e.g., the Saaty scale) and one prioritization method (e.g., the eigenvector method) for each particular problem. For this traditional selection approach, there is disagreement on which numerical scale and prioritization method is better in deriving a priority vector. In fact, the best numerical scale and the best prioritization method both rely on the content of the pairwise comparison data provided by the AHP decision makers. By defining a set of concepts regarding the scale function and the linguistic pairwise comparison matrices (LPCMs) of the priority vector and by using LPCMs to unify the format of the input and output of AHP, this paper extends the AHP prioritization process under the 2-tuple fuzzy linguistic model. Based on the extended AHP prioritization process, we present two performance measure criteria to evaluate the effect of the numerical scales and prioritization methods. We also use the performance measure criteria to develop a 2-tuple fuzzy linguistic multicriteria approach to select the best numerical scales and the best prioritization methods for different LPCMs. In this paper, we call this type of selection the individual selection of the numerical scale and prioritization method. We also compare this individual selection with traditional selection by using both random and real data and show better results with individual selection.

A matrix factorization framework for jointly analyzing multiple nonnegative data source

Nonnegative matrix factorization based methods provide one of the simplest and most effective approaches to text mining. However, their applicability is mainly limited to analyzing a single data source. In this paper, we propose a novel joint matrix factorization framework which can jointly analyze multiple data sources by exploiting their shared and individual structures. The proposed framework is flexible to handle any arbitrary sharing configurations encountered in real world data. We derive an efficient algorithm for learning the factorization and show that its convergence is theoretically guaranteed. We demonstrate the utility and effectiveness of the proposed framework in two real-world applications–improving social media retrieval using auxiliary sources and cross-social media retrieval. Representing each social media source using their textual tags, for both applications, we show that retrieval performance exceeds the existing state-of-the-art techniques. The proposed solution provides a generic framework and can be applicable to a wider context in data mining wherever one needs to exploit mutual and individual knowledge present across multiple data sources.

Meta-analytic review of neurocognition in bipolar II disorder

Objective: The clinical distinction between bipolar II disorder (BD II) and bipolar I disorder (BD I) is not clear-cut. Cognitive functioning offers the potential to explore objective markers to help delineate this boundary. To examine this issue, we conducted a quantitative review of the cognitive profile of clinically stable patients with BD II in comparison with both patients with BD I and healthy controls.
Method: Meta-analytical methods were used to compare cognitive functioning of BD II disorder with both BD I disorder and healthy controls.
Results: Individuals with BD II were less impaired than those with BD I on verbal memory. There were also small but significant difference in
visual memory and semantic fluency. There were no significant differences in global cognition or in other cognitive domains. Patients with BD II performed poorer than controls in all cognitive domains.
Conclusion: Our findings suggest that with the exception of memory and semantic fluency, cognitive impairment in BD II is as severe as in BD I. Further studies are needed to investigate whether more severe deficits in BD I are related to neurotoxic effects of severe manic episodes on medial temporal structures or neurobiological differences from the onset of the illness.

Fabrication of nano-particle reinforced metal matrix composites

Nanoparticle reinforced metal matrix possess much better mechanical properties over microparticle reinforced metal matrix composites as well as corresponding monolithic matrix materials. However, the fabrication methods of nanoparticle reinforced metal matrix composites are complex and expensive. This paper investigates and discusses the mechanisms of all the fabrication process, such as powder metallurgy, liquid metallurgy, compocasting and hybrid methods, available in the literature. This gives an insight on challenges associated with different processes and ways to improve the fabrication processes. It is found that modified traditional fabrication processes are mainly applied for these materials. The main problem is to achieve reasonably uniform distribution of nanoparticle reinforcement in the methods other than mechanical alloying when the volume or weight percent of reinforcement is higher (> 1%).

Online blind source separation using incremental nonnegative matrix factorization with volume constraint

Online blind source separation (BSS) is proposed to overcome the high computational cost problem, which limits the practical applications of traditional batch BSS algorithms. However, the existing online BSS methods are mainly used to separate independent or uncorrelated sources. Recently, nonnegative matrix factorization (NMF) shows great potential to separate the correlative sources, where some constraints are often imposed to overcome the non-uniqueness of the factorization. In this paper, an incremental NMF with volume constraint is derived and utilized for solving online BSS. The volume constraint to the mixing matrix enhances the identifiability of the sources, while the incremental learning mode reduces the computational cost. The proposed method takes advantage of the natural gradient based multiplication updating rule, and it performs especially well in the recovery of dependent sources. Simulations in BSS for dual-energy X-ray images, online encrypted speech signals, and high correlative face images show the validity of the proposed method.

Mixing Matrix Estimation From Sparse Mixtures With Unknown Number of Sources

In blind source separation, many methods have been proposed to estimate the mixing matrix by exploiting sparsity. However, they often need to know the source number a priori, which is very inconvenient in practice. In this paper, a new method, namely nonlinear projection and column masking (NPCM), is proposed to estimate the mixing matrix. A major advantage of NPCM is that it does not need any knowledge of the source number. In NPCM, the objective function is based on a nonlinear projection and its maxima just correspond to the columns of the mixing matrix. Thus a column can be estimated first by locating a maximum and then deflated by a masking operation. This procedure is repeated until the evaluation of the objective function decreases to zero dramatically. Thus the mixing matrix and the number of sources are estimated simultaneously. Because the masking procedure may result in some small and useless local maxima, particle swarm optimization (PSO) is introduced to optimize the objective function. Feasibility and efficiency of PSO are also discussed. Comparative experimental results show the efficiency of NPCM, especially in the cases where the number of sources is unknown and the sources are relatively less sparse.