46 research outputs found

    Connecting Biology and Mathematics: First Prepare the Teachers

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    Developing the connection between biology and mathematics is one of the most important ways to shift the paradigms of both established science disciplines. However, adding some mathematic content to biology or biology content to mathematics is not enough but must be accompanied by development of suitable pedagogical models. I propose a model of pedagogical mathematical biological content knowledge as a feasible starting point for connecting biology and mathematics in schools and universities. The process of connecting these disciplines should start as early as possible in the educational process, in order to produce prepared minds that will be able to combine both disciplines at graduate and postgraduate levels of study. Because teachers are a crucial factor in introducing innovations in education, the first step toward such a goal should be the education of prospective and practicing elementary and secondary school teachers

    Knowledge transfer in product development: an analysis of Brazilian subsidiaries of multinational corporations

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    Several studies about knowledge transfer in multinational corporations have found that the process is influenced by factors such as absorptive capacity, tacit knowledge and power relations, all of which impact knowledge sharing strategies between corporate headquarters and foreign subsidiaries. A multiple case study of Brazilian subsidiaries of three multinational corporations using in-depth interviews, based on a conceptual model consisting of four propositions, was conducted to identify factors linked to the knowledge transfer process and to assess their influence on that transfer. The first proposition tries to assess explicit knowledge, primarily through the use of IT tools; the second analyzes the role of the subsidiary within the corporate network and how it influences the degree of knowledge sharing. The third assesses the influence of subsidiary absorptive capacity and the fourth analyzes the impact of worker exchange programs on knowledge sharing between headquarters and foreign subsidiaries. Study results confirm the four propositions and enable the identification of relationships between factors, especially explicit knowledge and worker expatriation as complementary factors in knowledge transfer strategies

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    Electrostatics of two charged conducting ellipsoids.

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    A sequencing approach for creating new train timetables

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    Train scheduling is a complex and time consuming task of vital importance. To schedule trains more accurately and efficiently than permitted by current techniques a novel hybrid job shop approach has been proposed and implemented. Unique characteristics of train scheduling are first incorporated into a disjunctive graph model of train operations. A constructive algorithm that utilises this model is then developed. The constructive algorithm is a general procedure that constructs a schedule using insertion, backtracking and dynamic route selection mechanisms. It provides a significant search capability and is valid for any objective criteria. Simulated Annealing and Local Search meta-heuristic improvement algorithms are also adapted and extended. An important feature of these approaches is a new compound perturbation operator that consists of many unitary moves that allows trains to be shifted feasibly and more easily within the solution. A numerical investigation and case study is provided and demonstrates that high quality solutions are obtainable on real sized applications

    Urine and fecal 1H-NMR metabolomes differ significantly between pre-term and full-term born physically fit healthy adults

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    Preterm birth (before 37 weeks gestation) accounts for ~10% of births worldwide and remains one of the leading causes of death in children under 5 years of age. Preterm born adults have been consistently shown to be at an increased risk for chronic disorders including cardiovascular, endocrine/metabolic, respiratory, renal, neurologic, and psychiatric disorders that result in increased death risk. Oxidative stress was shown to be an important risk factor for hypertension, metabolic syndrome and lung disease (reduced pulmonary function, long-term obstructive pulmonary disease, respiratory infections, and sleep disturbances). The aim of this study was to explore the differences between preterm and full-term male participants’ levels of urine and fecal proton nuclear magnetic resonance (1^1H-NMR) metabolomes, during rest and exercise in normoxia and hypoxia and to assess general differences in human gut-microbiomes through metagenomics at the level of taxonomy, diversity, functional genes, enzymatic reactions, metabolic pathways and predicted gut metabolites. Significant differences existed between the two groups based on the analysis of 1^1H-NMR urine and fecal metabolomes and their respective metabolic pathways, enabling the elucidation of a complex set of microbiome related metabolic biomarkers, supporting the idea of distinct host-microbiome interactions between the two groups and enabling the efficient classification of sampleshowever, this could not be directed to specific taxonomic characteristics
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