4,831 research outputs found

    Addressing Radicalisation into the Classroom - A New Approach to Teacher and Pupil Learning

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    This article examines one response to the UK Governments directive that radicalisation and extremism should be tackled in all UK secondary schools. The small scale study, which is set in the broader literature of teaching often difficult PHSE topics to young people in secondary school and also the use of simulations as tools for learning in the classroom, analyses the responses of teachers to being trained with and using ‘Zak’ a bespoke research based simulation on the radicalisation process. An analysis of the teacher’s’ responses indicated that it was recognised that the principales of adults manipulating children, whether for sexual gratification or radicalisation, are considered to be very important topics for staff working with young people in school settings to address. It was also recognised as to be a flexible learning tool which enabled various pathways to be explored with young people in lessons to explore and raise issues regarding many aspects of e- safety, not just radicalisation. Additionally, the teachers remarked that the social media ‘Facebook’ format of the simulation was appreciated by the young people and this appeal resulted in their immersion with it as a teaching aid. Also of significance was how the ‘Zak’ package was delivered into schools with the staff reporting that the inter-professional training delivered by specialist police trainers and the accompanying materials enhanced the learning and confidence of the teachers on this multi-faceted and complex topic

    Shortest path distance in random k-nearest neighbor graphs

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    Consider a weighted or unweighted k-nearest neighbor graph that has been built on n data points drawn randomly according to some density p on R^d. We study the convergence of the shortest path distance in such graphs as the sample size tends to infinity. We prove that for unweighted kNN graphs, this distance converges to an unpleasant distance function on the underlying space whose properties are detrimental to machine learning. We also study the behavior of the shortest path distance in weighted kNN graphs.Comment: Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012

    Automatic test cases generation from software specifications modules

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    A new technique is proposed in this paper to extend the Integrated Classification Tree Methodology (ICTM) developed by Chen et al. [13] This software assists testers to construct test cases from functional specifications. A Unified Modelling Language (UML) class diagram and Object Constraint Language (OCL) are used in this paper to represent the software specifications. Each classification and associated class in the software specification is represented by classes and attributes in the class diagram. Software specification relationships are represented by associated and hierarchical relationships in the class diagram. To ensure that relationships are consistent, an automatic methodology is proposed to capture and control the class relationships in a systematic way. This can help to reduce duplication and illegitimate test cases, which improves the testing efficiency and minimises the time and cost of the testing. The methodology introduced in this paper extracts only the legitimate test cases, by removing the duplicate test cases and those incomputable with the software specifications. Large amounts of time would have been needed to execute all of the test cases; therefore, a methodology was proposed which aimed to select a best testing path. This path guarantees the highest coverage of system units and avoids using all generated test cases. This path reduces the time and cost of the testing

    Multi-drug infusion control using model reference adaptive algorithm

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    Control of physiological states such as mean arterial pressure (MAP) has been successfully achieved using single drug by different control algorithms. Multi-drug delivery demonstrates a significantly challenging task as compared to control with a single-drug. Also the patient’s sensitivity to the drugs varies from patient to patient. Therefore, the implementation of adaptive controller is very essential to improve the patient care in order to reduce the workload of healthcare staff and costs. This paper presents the design and implementation of the model reference adaptive controller (MRAC) to regulate mean arterial pressure and cardiac output by administering vasoactive and inotropic drugs that are sodium nitroprusside (SNP) and dopamine (DPM) respectively. The proposed adaptive control model has been implemented, tested and verified to demonstrate its merits and capabilities as compared to the existing research work

    Highly selective and sensitive macrocycle-based dinuclear foldamer for fluorometric and colorimetric sensing of citrate in water.

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    The selective detection of citrate anions is essential for various biological functions in living systems. A quantitative assessment of citrate is required for the diagnosis of various diseases in the human body; however, it is extremely challenging to develop efficient fluorescence and color-detecting molecular probes for sensing citrate in water. Herein, we report a macrocycle-based dinuclear foldamer (1) assembled with eosin Y (EY) that has been studied for anion binding by fluorescence and colorimetric techniques in water at neutral pH. Results from the fluorescence titrations reveal that the 1·EY ensemble strongly binds citrate anions, showing remarkable selectivity over a wide range of inorganic and carboxylate anions. The addition of citrate anions to the 1·EY adduct led to a large fluorescence enhancement, displaying a detectable color change under both visible and UV light in water up to 2 μmol. The biocompatibility of 1·EY as an intracellular carrier in a biological system was evaluated on primary human foreskin fibroblast (HF) cells, showing an excellent cell viability. The strong binding properties of the ensemble allow it to be used as a highly sensitive, detective probe for biologically relevant citrate anions in various applications

    Pakistani literature in English 1993 and 1994: a critical survey

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     The correctness of a problem with multi–point conditions on temporary variable of  linear partial differential equations not solved as to the highest derivative with respect to time, perturbed by the nonlinear integro-differential operator is investigated</p
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