731 research outputs found

    A Survey of the Effectiveness of the Various Sizes of Elementary School Teaching Teams in the Puget Sound Area

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    The purpose of the study is to discover and analyze the various sizes of teaching teams, on the elementary school level, to determine their relative effectiveness with respect to the following, as perceived by teachers: 1. What team size lends itself to the greatest number of individual teacher competencies? 2. What team size contributes the most to the professional growth of teachers? 3. What team size offers the most to the student\u27s growth and development? The purpose of the study is to discover and analyze the various sizes of teaching teams, on the elementary school level, to determine their relative effectiveness with respect to the following, as perceived by teachers: 1. What team size lends itself to the greatest number of individual teacher competencies? 2. What team size contributes the most to the professional growth of teachers? 3. What team size offers the most to the student\u27s growth and development

    Providing Job Embedded Professional Learning for Mathematics Specialists

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    We know that if professional learning opportunities are to be meaningful and create long-lasting and systemic change, they must be ongoing and job-embedded. One of the most beneficial aspects of having mathematics specialists in schools is that they can provide job-embedded professional learning directly to teachers. Perhaps due to the strong impact mathematics specialists have on teaching and learning, we may overlook the need to provide professional learning to support the growth of mathematics specialists themselves. Just as we provide coaching to teachers to affect their professional growth, we must identify similar opportunities to affect the growth of mathematics specialists. This paper will identify the purposes of these opportunities to include supporting growth in content knowledge, pedagogical expertise, coaching skills, and professionalism and leadership. We recognize that sustained efforts must be undertaken to see significant growth in these areas. Through interviews with individuals from Virginia school divisions and professional organizations, we identify models that can be replicated to provide the recommended professional learning for mathematics specialists

    Governance and Public Health Decision-Making During the COVID-19 Pandemic: A Scoping Review

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    Objective: We provide an in-depth understanding of how governance and decision-making during the COVID-19 pandemic has been empirically characterized in the literature to identify gaps in research and highlight areas that require further inquiry.Methods: We searched peer-reviewed publications using empirical data published between Jan 1, 2020 and Jan 31, 2022 in three electronic databases to examine the process of governance and decision-making during the COVID-19 pandemic. Two authors independently screened the records and 24 publications were extracted for the review.Results: Governance is analyzed by its level at national, sub-national, community and by its aspects of process, determinants and performance. While different methodological approaches are used, governance is conceptualized in four ways 1) characteristics and elements, 2) leadership, 3) application of power and 4) models or arrangements of governance.Conclusion: For future pandemic preparedness, there is a need for more empirical research using a unified conceptual approach to governance, which integrates decision-making processes and can guide governance structures and mechanisms across different countries and contexts. We call for more inclusivity in who performs the research on governance and where

    Minimum Conductivity and Evidence for Phase Transitions in Ultra-clean Bilayer Graphene

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    Bilayer graphene (BLG) at the charge neutrality point (CNP) is strongly susceptible to electronic interactions, and expected to undergo a phase transition into a state with spontaneous broken symmetries. By systematically investigating a large number of singly- and doubly-gated bilayer graphene (BLG) devices, we show that an insulating state appears only in devices with high mobility and low extrinsic doping. This insulating state has an associated transition temperature Tc~5K and an energy gap of ~3 meV, thus strongly suggesting a gapped broken symmetry state that is destroyed by very weak disorder. The transition to the intrinsic broken symmetry state can be tuned by disorder, out-of-plane electric field, or carrier density

    Nano-Scale Strain-Induced Giant Pseudo-Magnetic Fields and Charging Effects in CVD-Grown Graphene on Copper

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    Scanning tunneling microscopic and spectroscopic (STM/STS) studies of graphene grown by chemical vapor deposition (CVD) on copper reveal that the monolayer carbon structures remaining on copper are strongly strained and rippled, with different regions exhibiting different lattice structures and local electronic density of states (LDOS). The large and non-uniform strain induces pseudo-magnetic field up to ∼ 50 Tesla, as manifested by the integer and fractional pseudo-magnetic field quantum Hall effects (IQHE and FQHE) in the LDOS of graphene. Additionally, ridges appear along the boundaries of different lattice structures, which exhibit excess charging effects. For graphene transferred from copper to SiO_2 substrates after the CVD growth, the average strain and the corresponding charging effects and pseudo-magnetic fields become much reduced. These findings suggest the feasibility of strain-engineering of graphene-based nano-electronics

    Forensic profiling of smokeless powders (SLPs) by gas chromatography–mass spectrometry (GC-MS): a systematic investigation into injector conditions and their effect on the characterisation of samples

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    Smokeless powders (SLPs) are composed of a combination of thermolabile and non-thermolabile compounds. When analysed by GC-MS, injection conditions may therefore play a fundamental role on the characterisation of forensic samples. However, no systematic investigations have ever been carried out. This casts doubt on the optimal conditions that should be adopted in advanced profiling applications (e.g. class attribution and source association), especially when a traditional split/splitless (S/SL) injector is used. Herein, a study is reported that specifically focused on the evaluation of the liner type (L type) and inlet temperature (T inj). Results showed that both could affect the exhaustiveness and repeatability of the observed chemical profiles, with L type being particularly sensitive despite typically not being clarified in published works. Perhaps as expected, degradation effects were observed for the most thermolabile compounds (e.g. nitroglycerin) at conditions maximising the heat transfer rates (L type = packed and T inj ≥ 200 °C). However, these did not seem to be as influential as, perhaps, suggested in previous studies. Indeed, the harshest injection conditions in terms of heat transfer rate (L type = packed and T inj = 260 °C) were found to lead to better performances (including better overall %RSDs and LODs) compared to the mildest ones. This suggested that implementing conditions minimising heat-induced breakdowns during injection was not necessarily a good strategy for comparison purposes. The reported findings represent a concrete step forward in the field, providing a robust body of data for the development of the next generation of SLP profiling methods. Graphical abstract: (Figure presented.).</p
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