Topological structures in the equities market network

We present a new method for articulating scale-dependent topological descriptions of the network structure inherent in many complex systems. The technique is based on "Partition Decoupled Null Models,'' a new class of null models that incorporate the interaction of clustered partitions into a random model and generalize the Gaussian ensemble. As an application we analyze a correlation matrix derived from four years of close prices of equities in the NYSE and NASDAQ. In this example we expose (1) a natural structure composed of two interacting partitions of the market that both agrees with and generalizes standard notions of scale (eg., sector and industry) and (2) structure in the first partition that is a topological manifestation of a well-known pattern of capital flow called "sector rotation.'' Our approach gives rise to a natural form of multiresolution analysis of the underlying time series that naturally decomposes the basic data in terms of the effects of the different scales at which it clusters. The equities market is a prototypical complex system and we expect that our approach will be of use in understanding a broad class of complex systems in which correlation structures are resident.Comment: 17 pages, 4 figures, 3 table

easySTORM: a robust, lower-cost approach to localisation and TIRF microscopy

TIRF and STORM microscopy are super-resolving fluorescence imaging modalities for which current implementations on standard microscopes can present significant complexity and cost. We present a straightforward and low-cost approach to implement STORM and TIRF taking advantage of multimode optical fibres and multimode diode lasers to provide the required excitation light. Combined with open source software and relatively simple protocols to prepare samples for STORM, including the use of Vectashield for non-TIRF imaging, this approach enables TIRF and STORM imaging of cells labelled with appropriate dyes or expressing suitable fluorescent proteins to become widely accessible at low cost

What is known about tobacco industry efforts to influence tobacco tax? A systematic review of empirical studies.

OBJECTIVE: To systematically review studies of tobacco industry efforts to influence tobacco tax policies. METHODS: Searches were conducted between 1 October 2009 and 31 March 2010 in 14 databases/websites, in relevant bibliographies and via experts. Studies were included if they focused on industry efforts to influence tobacco tax policies, drew on empirical evidence, were in English and concerned the period 1985-2010. In total, 36 studies met these criteria. Two reviewers undertook data extraction and critical appraisal. A random selection of 15 studies (42%) was subject to second review. Evidence was assessed thematically to identify distinct tobacco industry aims, arguments and tactics. RESULTS: A total of 34 studies examined industry efforts to influence tax levels. They suggest the tobacco industry works hard to prevent significant increases and particularly dislikes taxes 'earmarked' for tobacco control. Key arguments to counter increases are that tobacco taxes are socially regressive, unfair and lead to increased levels of illicit trade and negative economic impacts. For earmarked taxes, the industry also frequently tries to raise concerns about revenue allocation. Assessing industry arguments against established evidence demonstrates most are unsupported. Key industry tactics include: establishing 'front groups', securing credible allies, direct lobbying and publicity campaigns. Only seven studies examined efforts to influence tax structures. They suggest company preferences vary and tactics centre on direct lobbying. CONCLUSIONS: The tobacco industry has historically tried to keep tobacco taxes low using consistent tactics and misleading arguments. Further research is required to explore efforts to influence tax structures, excise policies beyond the USA and recent policies

Lighting up the Cell: Developing a Luminescent Lanthanide Probe for Detecting RNAs

An anion detecting luminescent probe, Tb:DO2A-Cs124, was repurposed for use in RNA imaging. Potential RNA aptamers were identified for the molecule using Capture-SELEX and MinION sequencing. Fluorimetry data revealed these aptamers did not allow for the probe to luminesce in the presence of target RNAs due to adenosine monophosphate’s ability to quench the emission signal

Daughtering

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On-line Metasearch, Pooling, and System Evaluation

This thesis presents a unified method for simultaneous solution of three problems in Information Retrieval--- metasearch (the fusion of ranked lists returned by retrieval systems to elicit improved performance), efficient system evaluation (the accurate evaluation of retrieval systems with small numbers of relevance judgements), and pooling or ``active sample selection (the selection of documents for manual judgement in order to develop sample pools of high precision or pools suitable for assessing system quality). The thesis establishes a unified theoretical framework for addressing these three problems and naturally generalizes their solution to the on-line context by incorporating feedback in the form of relevance judgements. The algorithm--- Rankhedge for on-line retrieval, metasearch and system evaluation--- is the first to address these three problems simultaneously and also to generalize their solution to the on-line context. Optimality of the Rankhedge algorithm is developed via Bayesian and maximum entropy interpretations. Results of the algorithm prove to be significantly superior to previous methods when tested over a range of TREC (Text REtrieval Conference) data. In the absence of feedback, the technique equals or exceeds the performance of benchmark metasearch algorithms such as CombMNZ and Condorcet. The technique then dramatically improves on this performance during the on-line metasearch process. In addition, the technique generates pools of documents which include more relevant documents and produce more accurate system evaluations than previous techniques. The thesis includes an information-theoretic examination of the original Hedge algorithm as well as its adaptation to the context of ranked lists. The work also addresses the concept of information-theoretic similarity within the Rankhedge context and presents a method for decorrelating the predictor set to improve worst case performance. Finally, an information-theoretically optimal method for probabilistic ``active sampling is presented with possible application to a broad range of practical and theoretical contexts

Teacher Perspectives of Physical Activity and Student Engagement in Middle School English Language Arts: An Action Research Investigation

The researcher sought to determine how teachers in a middle school academic setting perceived the incorporation of movement with regards to student engagement. Three seventh grade English Language Arts instructors from the same middle school, one of whom was the researcher, incorporated three different physical activities into the academic class period and observed academic engagement indicators. The three movements used were 4-minute walking breaks, 2-minute stretching breaks, and a discussion technique that involved throwing, standing, and walking. Results showed that teachers perceived changes in academic engagement with all three activities, though the results for stretching indicated mixed positive and negative changes in academic engagement behaviors. Based on the teacher reports, all three activities can be useful in improving academic engagement, but the activities must be directly linked to an academic task for best results. Results also indicate a need for further research with regard to more varied activities and possible implications of whether academic engagement changed by movement has any impact on academic achievement

Group Empowerment Capacity and Capability in Associate Degree Schools of Nursing in the United States

The purpose of conducting this research was to determine the perception of group empowerment capacity (EC) and group empowerment capability (E) among faculty and administrators in associate degree nursing programs (ADN) in the United States (U.S.), whether there was a significant difference in the scores of EC and E between the two groups and if there was a significant relationship between the mediating variables and EC. The study was conducted online with administrators and faculty of ADN programs throughout the United States (U.S.). Information letters with questionnaire links were sent to all members of the Organization of Associate Degree Nurses (OADN) listserv and at least one administrator or faculty member from at least one ADN program in each state. The final sample number included 187 faculty members and 90 administrators. This study concluded that faculty and administrators in ADN programs in the U.S. perceived high levels of empowerment. Second, there was a significant difference in EC and E between faculty and administrators in ADN programs in the U.S. While faculty also perceived high levels of empowerment, their scores were significantly lower than administrators. Finally, there was a significant positive relationship between the mediating variables and EC