7,622 research outputs found

    Policy Implications of Ageing Sexualities

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    This article aims to open up debate on the policy implications of ageing sexualities. The article begins by discussing the heteronormative perspective that frames current discourse on older people’s needs and citizenship. It then presents data from an empirical study to highlight the concerns that older lesbians and gay men have about housing, health and social service provision, work and job security, and relationship recognition. The article illustrates how the heterosexual assumption that informs policy making can limit the development of effective strategies for supporting older lesbians and gay men; and raises broader questions about policy making, social inclusion and citizenship

    XML data integrity based on concatenated hash function

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    Data integrity is the fundamental for data authentication. A major problem for XML data authentication is that signed XML data can be copied to another document but still keep signature valid. This is caused by XML data integrity protecting. Through investigation, the paper discovered that besides data content integrity, XML data integrity should also protect element location information, and context referential integrity under fine-grained security situation. The aim of this paper is to propose a model for XML data integrity considering XML data features. The paper presents an XML data integrity model named as CSR (content integrity, structure integrity, context referential integrity) based on a concatenated hash function. XML data content integrity is ensured using an iterative hash process, structure integrity is protected by hashing an absolute path string from root node, and context referential integrity is ensured by protecting context-related elements. Presented XML data integrity model can satisfy integrity requirements under situation of fine-grained security, and compatible with XML signature. Through evaluation, the integrity model presented has a higher efficiency on digest value-generation than the Merkle hash tree-based integrity model for XML data

    Natural laminar flow experiments on modern airplane surfaces

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    Flight and wind-tunnel natural laminar flow experiments have been conducted on various lifting and nonlifting surfaces of several airplanes at unit Reynolds numbers between 0.63 x 10 to the 6th power/ft and 3.08 x 10 to the 6th power/ft, at Mach numbers from 0.1 to 0.7, and at lifting surface leading-edge sweep angles from 0 deg to 63 deg. The airplanes tested were selected to provide relatively stiff skin conditions, free from significant roughness and waviness, on smooth modern production-type airframes. The observed transition locations typically occurred downstream of the measured or calculated pressure peak locations for the test conditions involved. No discernible effects on transition due to surface waviness were observed on any of the surfaces tested. None of the measured heights of surface waviness exceeded the empirically predicted allowable surface waviness. Experimental results consistent with spanwise contamination criteria were observed. Large changes in flight-measured performance and stability and control resulted from loss of laminar flow by forced transition. Rain effects on the laminar boundary layer caused stick-fixed nose-down pitch-trim changes in two of the airplanes tested. No effect on transition was observed for flight through low-altitude liquid-phase clouds. These observations indicate the importance of fixed-transition tests as a standard flight testing procedure for modern smooth airframes

    An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners

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    This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy. Direct CT guidance allows physicians to localize tumours quickly; however, needle insertion is still performed by hand. This system is mounted to a fully active gantry superior to the patient's head and teleoperated by a radiologist. Unlike other similar robots, this robot's fully serial-link approach uses a unique combination of belt and cable drives for high-transparency and minimal-backlash, allowing for an expansive working area and numerous approach angles to targets all while maintaining a small in-bore cross-section of less than 16cm216cm^2. Simulations verified the system's expansive collision free work-space and ability to hit targets across the entire chest, as required for lung cancer biopsy. Targeting error is on average <1mm<1mm on a teleoperated accuracy task, illustrating the system's sufficient accuracy to perform biopsy procedures. The system is designed for lung biopsies due to the large working volume that is required for reaching peripheral lung lesions, though, with its large working volume and small in-bore cross-sectional area, the robotic system is effectively a general-purpose CT-compatible manipulation device for percutaneous procedures. Finally, with the considerable development time undertaken in designing a precise and flexible-use system and with the desire to reduce the burden of other researchers in developing algorithms for image-guided surgery, this system provides open-access, and to the best of our knowledge, is the first open-hardware image-guided biopsy robot of its kind.Comment: 8 pages, 9 figures, final submission to IROS 201

    A study on n-gram indexing of musical features

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    Since only simple symbol-based manipulations are needed, n-gram indexing is used for natural languages where syntactic or semantic analyses are often difficult. Music, whose automatic analysis for patterns such as motifs and phrases are difficult, inaccurate or computationally expensive, is thus similar to natural languages. The use of n-gram in music retrieval systems is thus a natural choice. In this paper, we study a number of issues regarding n-gram indexing of musical features using simulated queries. They are: whether combinatorial explosion is a problem in n-gram indexing of musical features, the relative discrimination power of six different musical features, the value of n needed for them, and the average amount of false positives returned when n-grams are used to index music.published_or_final_versio

    A comparison study on algorithms for incremental update of frequent sequences

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    The problem of mining frequent sequences is to extract frequently occurring subsequences in a sequence database. Algorithms on this mining problem include GSP, MFS, and SPADE. The problem of incremental update of frequent sequences is to keep track of the set of frequent sequences as the underlying database changes. Previous studies have extended the traditional algorithms to efficiently solve the update problem. These incremental algorithms include ISM, GSP+ and MFS+. Each incremental algorithm has its own characteristics and they have been studied and evaluated separately under different scenarios. This paper presents a comprehensive study on the relative performance of the incremental algorithms as well as their non-incremental counterparts. Our goal is to provide guidelines on the choice of an algorithm for solving the incremental update problem given the various characteristics of a sequence database. © 2002 IEEE.published_or_final_versio

    Josephson Current between Triplet and Singlet Superconductors

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    The Josephson effect between triplet and singlet superconductors is studied. Josephson current can flow between triplet and singlet superconductors due to the spin-orbit coupling in the spin-triplet superconductor but it is finite only when triplet superconductor has Lz=Sz=±1L_z=-S_z=\pm 1, where LzL_z and SzS_z are the perpendicular components of orbital angular momentum and spin angular momentum of the triplet Cooper pairs, respectively. The recently observed temperature and orientational dependence of the critical current through a Josephson junction between UPt3_3 and Nb is investigated by considering a non-unitary triplet state.Comment: 4 pages, no figure

    Interpolating Masked Weak Lensing Signal with Karhunen-Loeve Analysis

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    We explore the utility of Karhunen Loeve (KL) analysis in solving practical problems in the analysis of gravitational shear surveys. Shear catalogs from large-field weak lensing surveys will be subject to many systematic limitations, notably incomplete coverage and pixel-level masking due to foreground sources. We develop a method to use two dimensional KL eigenmodes of shear to interpolate noisy shear measurements across masked regions. We explore the results of this method with simulated shear catalogs, using statistics of high-convergence regions in the resulting map. We find that the KL procedure not only minimizes the bias due to masked regions in the field, it also reduces spurious peak counts from shape noise by a factor of ~ 3 in the cosmologically sensitive regime. This indicates that KL reconstructions of masked shear are not only useful for creating robust convergence maps from masked shear catalogs, but also offer promise of improved parameter constraints within studies of shear peak statistics.Comment: 13 pages, 9 figures; submitted to Ap

    Using Inquiry in Teacher Professional Learning to Build Efficacy for Writing Instruction

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    Whitacre (2019) and Curtis (2017) found that participants’ efficacy impacted their writing instruction and ability to engage students. We share our experiences with a professional development program aimed to improve teacher efficacy and literacy of elementary teachers. In this professional learning network, the Study of Early Literacy (SOEL), a higher percentage of teachers reported to a Hanover Research survey that they felt less confident in teaching writing than other areas of literacy. To address this need, one of the authors developed a subgroup to specifically address the teaching of writing with an inquiry-based action research component. Most of the teachers in this group reported greater teacher efficacy, student motivation, and student achievement after this year of intentional teacher research
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