Use of genetic decompositions to scaffold the development of a structurally sequenced curriculum for mathematics acceleration

The authors have collaboratively used a graphical language to describe their shared knowledge of a small domain of mathematics, which has in turn scaffolded their re-development of a related curriculum for mathematics acceleration. This collaborative use of the graphical language is reported as a simple descriptive case study. This leads to an evaluation of the graphical language’s usefulness as a tool to support the articulation of the structure of mathematics knowledge. In turn, implications are drawn for how the graphical language may be utilised as the detail of the curriculum is further elaborated and communicated to teachers.

Implementing a holistic process for embedding sustainability: A case study in first year engineering, Monash University, Australia

While there is clear recognition of the need to incorporate sustainable development into university curricula, there is limited research that examines how to achieve that integration or evaluates its impacts on student learning. This paper responds to these knowledge gaps through a case study of curriculum renewal that involved embedding sustainability into a first year engineering curriculum. The initiative was guided by a deliberative and dynamic model for curriculum renewal that brought together internal and external stakeholders through a structured sequence of facilitated workshops and meetings. That process identified sustainability-related knowledge and skills relevant for first year engineering, and faculty members teaching in the first year program were guided through a process of curriculum renewal to meet those needs. The process through which the whole of curriculum renewal was undertaken is innovative and provides a case study of precedent in the field of education for sustainability. The study demonstrates the contribution that can be made by a web-based sustainability portal in supporting curriculum renewal. Learning and teaching outcomes were evaluated through ‘before and after surveys’ of the first year engineering students. Statistically significant increases in student's self-reported knowledge of sustainability were measured as a result of exposure to the renewed first year curriculum and this confirmed the value of the initiative in terms of enhancing student learning. While applied in this case to engineering, the process to achieve integration of sustainability into the curriculum approach is likely to have value for other academic disciplines. Considering student performance on assignments and exam questions relating to sustainability would provide a stronger basis for future research to understand the impact of initiatives like this on student learning.

How to Succeed in Knowledge Transfer : Case Study of Scandinavian Alliance in Ukraine

The current study of Scandinavian multinational corporate subsidiaries in the rapidly growing Eastern European market, due to their particular organizational structure, attempts to gain some new insights into processes and potential benefits of knowledge and technology transfer. This study explores how to succeed in knowledge transfer and to become more competitive, driven by the need to improve transfer of systematic knowledge for the manufacture of product and service provisions in newly entered market. The scope of current research is exactly limited to multinational corporations, which are defined as enterprises comprising entities in two or more countries, regardless of legal forms and field of activity of those entities, and which operate under a system of decision-making permitting coherent policies and a common strategy through one or more decision-making centers. The entities are linked, by ownership, and able to exercise influence over the activities of the others; and, in particular, to share the knowledge, resources, and responsibilities with others. The research question is "How and to which extent can knowledge-transfer influence a company's technological competence and economic competitiveness?" and try to find out what particular forces and factors affect the development of subsidiary competencies; what factors influence the corporate integration and use of the subsidiary's competencies; and what may increase competitiveness of MNC pursuing leading position in entered market. The empirical part of the research was based on qualitative analyses of twenty interviews conducted among employees in Scandinavian MNC subsidiary units situated in Ukraine, using structured sequence of questions with open-ended answers. The data was investigated by comparison case analyses to literature framework. Findings indicate that a technological competence developed in one subsidiary will lead to an integration of that competence with other corporate units within the MNC. Success increasingly depends upon people's learning. The local economic area is crucial for understanding competition and industrial performance, as there seems to be a clear link between the performance of subsidiaries and the conditions prevailing in their environment. The linkage between competitive advantage and company's success is mutually dependent. Observation suggests that companies can be characterized as clusters of complementary activities such as R&D, administration, marketing, manufacturing and distribution. Study identifies barriers and obstacles in technology and knowledge transfer that is relevant for the subsidiaries' competence development. The accumulated experience can be implemented in new entered market with simple procedures, and at a low cost under specific circumstances, by cloning. The main goal is focused to support company prosperity, making more profits and sustaining an increased market share by improved product quality and/or reduced production cost of the subsidiaries through cloning approach. Keywords: multinational corporation; technology transfer; knowledge transfer; subsidiary competence; barriers and obstacles; competitive advantage; Eastern European market

Capturing teachers' experience of learning design through case studies

This article distinguishes three dimensions to learning design: a technological infrastructure, a conceptual framework for practice that focuses on the creation of structured sequences of learning activities, and a way to represent and share practice through the use of mediating artefacts. Focusing initially on the second of these dimensions, the article reports the key findings from an exploratory study, eLIDA CAMEL. This project examined a hitherto under-researched aspect of learning design: what teachers who are new to the domain perceive to be its value as a framework for practice in the design of both flexible and classroom-based learning. Data collection comprised 13 case studies constructed from participants' self-reports. These suggest that providing students with a structured sequence of learning activities was the major value to teachers. The article additionally discusses the potential of such case studies to function as mediating artefacts for practitioners who are considering experimenting with learning design.

Selection of DNA aptamers against epithelial cell adhesion molecule for cancer cell imaging and circulating tumor cell capture

Epithelial cell adhesion molecule (EpCAM) is overexpressed in most solid cancers and is an ideal antigen for clinical applications in cancer diagnosis, prognosis, imaging, and therapy. Currently, most of the EpCAM-based diagnostic, prognostic, and therapeutic strategies rely on the anti-EpCAM antibody. However, the use of EpCAM antibody is restricted due to its large size and instability. In this study, we have successfully identified DNA aptamers that selectively bind human recombinant EpCAM protein. The aptamers can specifically recognize a number of live human cancer cells derived from breast, colorectal, and gastric cancers that express EpCAM but not bind to EpCAM-negative cells. Among the aptamer sequences identified, a hairpin-structured sequence SYL3 was optimized in length, resulting in aptamer sequence SYL3C. The Kd values of the SYL3C aptamer against breast cancer cell line MDA-MB-231 and gastric cancer cell line Kato III were found to be 38±9 and 67±8 nM, respectively, which are better than that of the full-length SYL3 aptamer. Flow cytometry analysis results indicated that the SYL3C aptamer was able to recognize target cancer cells from mixed cells in cell media. When used to capture cancer cells, up to 63% cancer cell capture efficiency was achieved with about 80% purity. With the advantages of small size, easy synthesis, good stability, high binding affinity, and selectivity, the DNA aptamers reported here against cancer biomarker EpCAM will facilitate the development of novel targeted cancer therapy, cancer cell imaging, and circulating tumor cell detection.

Proposta de uma sistemática de avaliação de investimentos utilizando o método ABC (activity-based costing)

As técnicas tradicionais de avaliação de rentabilidade apresentam características que resultam eficazes no que tange aos aspectos econômicos da análise de investimentos. No entanto, a validade das informações fornecidas por estes métodos depende dos dados incluídos na avaliação. Neste sentido, em função da complexidade e do inter-relacionamento existente nos processos produtivos de empresas, as alterações proporcionadas por um investimento podem ter impacto sobre áreas que não estão diretamente envolvidas com o projeto a ser implementado. Este fato dificulta a identificação e conseqüente inclusão da totalidade dos fatores que causam impacto na análise do projeto. Além disso, impactos relacionados a atividades indiretas não possuem uma metodologia que permita sua quantificação. Como forma de abordar o problema, este trabalho apresenta uma sistemática de avaliação de investimentos que, através de uma seqüência estruturada de passos e com a utilização das informações geradas por um sistema de custeio do tipo ABC (Activity-Based Costing), possibilita incluir na análise impactos indiretos gerados pelo projeto. A aplicação desta sistemática em um projeto de substituição de equipamento numa empresa do ramo industrial mostra que as informações geradas complementam aquelas obtidas quando da aplicação das técnicas tradicionais. Desta forma, foi possível avaliar o impacto econômico provocado por possíveis alterações nos setores não diretamente ligados ao projeto.

Building the sugarcane genome for biotechnology and identifying evolutionary trends

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Creating reusable well-structured pdf as a sequence of component object graphic (cog) elements

Portable Document Format (PDF) is a page-oriented, graphically rich format based on PostScript semantics and it is also the format interpreted by the Adobe Acrobat viewers. Although each of the pages in a PDF document is an independent graphic object this property does not necessarily extend to the components (headings, diagrams, paragraphs etc.) within a page. This, in turn, makes the manipulation and extraction of graphic objects on a PDF page into a very difficult and uncertain process. The work described here investigates the advantages of a model wherein PDF pages are created from assemblies of COGs (Component Object Graphics) each with a clearly defined graphic state. The relative positioning of COGs on a PDF page is determined by appropriate "spacer" objects and a traversal of the tree of COGs and spacers determines the rendering order. The enhanced revisability of PDF documents within the COG model is discussed, together with the application of the model in those contexts which require easy revisability coupled with the ability to maintain and amend PDF document structure.

The structured phase of concurrency

This extended abstract summarizes the state-of-the-art solution to the structuring problem for models that describe existing real world or envisioned processes. Special attention is devoted to models that allow for the true concurrency semantics. Given a model of a process, the structuring problem deals with answering the question of whether there exists another model that describes the process and is solely composed of structured patterns, such as sequence, selection, option for simultaneous execution, and iteration. Methods and techniques for structuring developed by academia as well as products and standards proposed by industry are discussed. Expectations and recommendations on the future advancements of the structuring problem are suggested.

Supplementary information : weighted tree kernels for sequence analysis

Genomic sequences are fundamentally text documents, admitting various representations according to need and tokenization. Gene expression depends crucially on binding of enzymes to the DNA sequence at small, poorly conserved binding sites, limiting the utility of standard pattern search. However, one may exploit the regular syntactic structure of the enzyme's component proteins and the corresponding binding sites, framing the problem as one of detecting grammatically correct genomic phrases. In this paper we propose new kernels based on weighted tree structures, traversing the paths within them to capture the features which underpin the task. Experimentally, we and that these kernels provide performance comparable with state of the art approaches for this problem, while offering significant computational advantages over earlier methods. The methods proposed may be applied to a broad range of sequence or tree-structured data in molecular biology and other domains.

Feral pig populations are structured at fine spatial scales in tropical Queensland, Australia

Feral pigs occur throughout tropical far north Queensland, Australia and are a significant threat to biodiversity and World Heritage values, agriculture and are a vector of infectious diseases. One of the constraints on long-lasting, local eradication of feral pigs is the process of reinvasion into recently controlled areas. This study examined the population genetic structure of feral pigs in far north Queensland to identify the extent of movement and the scale at which demographically independent management units exist. Genetic analysis of 328 feral pigs from the Innisfail to Tully region of tropical Queensland was undertaken. Seven microsatellite loci were screened and Bayesian clustering methods used to infer population clusters. Sequence variation at the mitochondrial DNA control region was examined to identify pig breed. Significant population structure was identified in the study area at a scale of 25 to 35 km, corresponding to three demographically independent management units (MUs). Distinct natural or anthropogenic barriers were not found, but environmental features such as topography and land use appear to influence patterns of gene flow. Despite the strong, overall pattern of structure, some feral pigs clearly exhibited ancestry from a MU outside of that from which they were sampled indicating isolated long distance dispersal or translocation events. Furthermore, our results suggest that gene flow is restricted among pigs of domestic Asian and European origin and non-random mating influences management unit boundaries. We conclude that the three MUs identified in this study should be considered as operational units for feral pig control in far north Queensland. Within a MU, coordinated and simultaneous control is required across farms, rainforest areas and National Park Estates to prevent recolonisation from adjacent localities.

New phase unwrapping strategy for rapid and dense 3D data acquisition in structured light approach

Sinusoidal structured light projection (SSLP) technique, specifically-phase stepping method, is in widespread use to obtain accurate, dense 3-D data. But, if the object under investigation possesses surface discontinuities, phase unwrapping (an intermediate step in SSLP) stage mandatorily require several additional images, of the object with projected fringes (of different spatial frequencies), as input to generate a reliable 3D shape. On the other hand, Color-coded structured light projection (CSLP) technique is known to require a single image as in put, but generates sparse 3D data. Thus we propose the use of CSLP in conjunction with SSLP to obtain dense 3D data with minimum number of images as input. This approach is shown to be significantly faster and reliable than temporal phase unwrapping procedure that uses a complete exponential sequence. For example, if a measurement with the accuracy obtained by interrogating the object with 32 fringes in the projected pattern is carried out with both the methods, new strategy proposed requires only 5 frames as compared to 24 frames required by the later method.

Efficient statistical modeling for the compression of tree structured intermediate code

We propose a scheme for the compression of tree structured intermediate code consisting of a sequence of trees specified by a regular tree grammar. The scheme is based on arithmetic coding, and the model that works in conjunction with the coder is automatically generated from the syntactical specification of the tree language. Experiments on data sets consisting of intermediate code trees yield compression ratios ranging from 2.5 to 8, for file sizes ranging from 167 bytes to 1 megabyte.

Structured discriminative models for noise robust continuous speech recognition

Recently there has been interest in structured discriminative models for speech recognition. In these models sentence posteriors are directly modelled, given a set of features extracted from the observation sequence, and hypothesised word sequence. In previous work these discriminative models have been combined with features derived from generative models for noise-robust speech recognition for continuous digits. This paper extends this work to medium to large vocabulary tasks. The form of the score-space extracted using the generative models, and parameter tying of the discriminative model, are both discussed. Update formulae for both conditional maximum likelihood and minimum Bayes' risk training are described. Experimental results are presented on small and medium to large vocabulary noise-corrupted speech recognition tasks: AURORA 2 and 4. © 2011 IEEE.

A Structured Prediction Approach for Statistical Machine Translation

We propose a new formally syntax-based method for statistical machine translation. Transductions between parsing trees are transformed into a problem of sequence tagging, which is then tackled by a search- based structured prediction method. This allows us to automatically acquire transla- tion knowledge from a parallel corpus without the need of complex linguistic parsing. This method can achieve compa- rable results with phrase-based method (like Pharaoh), however, only about ten percent number of translation table is used. Experiments show that the structured pre- diction approach for SMT is promising for its strong ability at combining words.