337 research outputs found

    Budgeting for a Social Agency

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    Treatment of Bond Discount

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    How do educators establish sensitive relationships with infants (six weeks to twelve months of age) in an early childhood context of Aotearoa/New Zealand?

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    This research explores how qualified early childhood educators establish responsive relationships with infants from the ages of six weeks to twelve months of age in a mainstream early childhood centre context in Auckland, New Zealand. In this research learning stories were used as a basis for discussion linking to the requirements of national Early Childhood Education curriculum document “Te Whāriki” (Ministry of Education, 1996). By analyzing discussions surrounding this documentation, I examined how educators promote and build responsive relationships with the infants with whom they interact, and how the educators view their teaching practices and pedagogy

    Engaging Human-in-the-Loop for Autonomous Vehicle Simulation

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    Many autonomous vehicles are still in the development phase due to limited research and testing and will take a considerable amount of time to further develop before they are ready for public release. The main objective of this study is to introduce a human-in-the-loop simulation framework for supporting autonomous vehicle research. Our proposed simulation framework aims to facilitate AV assessment by providing a safer and more efficient way. Functionally, it is focused on the understanding of AVs’ operations in the presence of pedestrian users. The developed simulation framework allows a human pedestrian avatar to be integrated into the high-fidelity 3D virtual environment and interact with simulated autonomous vehicles via standard keyboard input methods or virtual reality (VR) methods. This enables safer pedestrian-AV integration research and testing, and the ability to implement a series of risky edge-case scenarios in less time and cost than would be feasible in a real-world setting

    The Stroke Hyperglycemia Insulin Network Effort (SHINE) trial: an adaptive trial design case study

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    Background: The \u27Adaptive Designs Accelerating Promising Trials into Treatments (ADAPT-IT)\u27 project is a collaborative effort supported by the National Institutes of Health (NIH) and United States Food & Drug Administration (FDA) to explore how adaptive clinical trial design might improve the evaluation of drugs and medical devices. ADAPT-IT uses the National Institute of Neurologic Disorders & Stroke-supported Neurological Emergencies Treatment Trials (NETT) network as a \u27laboratory\u27 in which to study the development of adaptive clinical trial designs in the confirmatory setting. The Stroke Hyperglycemia Insulin Network Effort (SHINE) trial was selected for funding by the NIH-NINDS at the start of ADAPT-IT and is currently an ongoing phase III trial of tight glucose control in hyperglycemic acute ischemic stroke patients. Within ADAPT-IT, a Bayesian adaptive Goldilocks trial design alternative was developed. Methods: The SHINE design includes response adaptive randomization, a sample size re-estimation, and monitoring for early efficacy and futility according to a group sequential design. The Goldilocks design includes more frequent monitoring for predicted success or futility and a longitudinal model of the primary endpoint. Both trial designs were simulated and compared in terms of their mean sample size and power across a range of treatment effects and success rates for the control group. Results: As simulated, the SHINE design tends to have slightly higher power and the Goldilocks design has a lower mean sample size. Both designs were tuned to have approximately 80% power to detect a difference of 25% versus 32% between control and treatment, respectively. In this scenario, mean sample sizes are 1,114 and 979 for the SHINE and Goldilocks designs, respectively. Conclusions: Two designs were brought forward, and both were evaluated, revised, and improved based on the input of all parties involved in the ADAPT-IT process. However, the SHINE investigators were tasked with choosing only a single design to implement and ultimately elected not to implement the Goldilocks design. The Goldilocks design will be retrospectively executed upon completion of SHINE to later compare the designs based on their use of patient resources, time, and conclusions in a real world setting

    Reshaping Practitioner Higher Education Institutions to Serve Adult Learners: The COVID-19 Pandemic Implications

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    Involving over 200 countries, the COVID-19 global pandemic impacts adult learners’ retention, increasing the need to reshape practitioner-oriented higher education institutions to better serve students. The purpose of this study was to explore how practitioner higher education institutions adopted innovative approaches and reshaped policies, practices, and perspectives to accommodate changes brought about by the COVID- 19 pandemic and successfully maintained or increased enrollment. This article reports the results, which may enhance practitioner higher education programs and enrollment

    The Challenge Of Negation In Searches And Queries

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    Negation poses certain challenges for queries and searches. This paper deals with exclusionary queries implemented using the ISO database language SQL and a dialog-based interface and with retrieval searches involving negation. This research arose because instructors in database courses noticed a large proportion of students making mistakes on certain queries. The paper explores underlying comprehension issues and makes practical recommendations on identifying potential sources of error and avoiding incorrect or misleading results. Proposed actions include changes in general education and database training and encouraging implementation of the new SQL:1999 standard
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