It's Time for Summer: An Analysis of Recent Policy and Funding Opportunities

Recommends ways to improve and expand summer learning programs by better coordinating federal, state and local programs, including ensuring that federal program regulations explicitly allow spending for summer programs and creating funding collaboratives

Falling Through Fellatio

Time exposed through the body and being present in an act. Either through a specific sex act or witnessing a memorial to genocide in Rwanda or the death of a loved one time looses its linearity and opens to experienced infinity. The waves of tactile reciprocity, visceral presence, grief shift our awareness to that other time intimately entwined with space and lived experience. The paper hopes to be able to begin to describe and discuss these moments.The conference was sponsored by A.D.S.A., the Department of Performance Studies, the School of Letters, Arts and Media, and the Faculty of Arts of the University of Sydney

Inquiry, Experience, and Exploration: Rebooting the Research Project and Making Connections Beyond the English Classroom

This article describes our efforts to revitalize the research project in the English Language Arts classroom, engage students in the exploration of topics of organic interest, and create opportunities for them to share their findings with authentic audiences

Quantification of SLS Dynamic Model Validation Metrics using Uncertainty Propagation from Requirements

No abstract availabl

Late-Onset Meningeal Metastases in Liposarcoma: A Case Report and Review of the Literature

Intracranial metastases from liposarcoma are rare and almost always preceded by the development of systemic tumour spread. We report here a case of liposarcoma with spread to the cranial nervous system 23 years after treatment of the primary tumour. The literature on brain metastases from soft tissue sarcoma is also reviewed

Abuse, mental state, and health factors pre and during the COVID-19 pandemic: A comparison among clinically referred adolescents in Ontario, Canada

Throughout the COVID-19 pandemic, population surveys revealed increased levels of anxiety and depression, while findings from large-scale population data analyses have revealed mixed findings with respect to the mental health consequences for children and youth. The purpose of this study was to examine the impact of the COVID-19 pandemic on the well-being and health-compromising behaviors of adolescents (12–18 years) previously referred for mental health services. Data were collected (pre-pandemic n = 3712; pandemic n = 3197) from mental health agencies across Ontario, Canada using the interRAI Child and Youth Mental Health assessment. Our findings revealed no increased incidence of witnessing domestic violence nor experiencing physical, sexual, or emotional abuse. Further, there were no increases in the risk of self-harm and suicide, anxiety, or depression among our sample of clinically referred youth. Finally, results demonstrated no increase in problematic videogaming/internet use, disordered eating, or alcohol intoxication, and a decrease in cannabis use. Our findings add to the growing body of knowledge as to the impact of the COVID-19 pandemic on children and youth. Further, findings underscore the importance of understanding the nuanced impact of the pandemic on various subgroups of children, youth, and families and highlight the need for continued monitoring of outcomes for these children and youth

Overview of Polkadot and its Design Considerations

In this paper we describe the design components of the heterogenous multi-chain protocol Polkadot and explain how these components help Polkadot address some of the existing shortcomings of blockchain technologies. At present, a vast number of blockchain projects have been introduced and employed with various features that are not necessarily designed to work with each other. This makes it difficult for users to utilise a large number of applications on different blockchain projects. Moreover, with the increase in number of projects the security that each one is providing individually becomes weaker. Polkadot aims to provide a scalable and interoperable framework for multiple chains with pooled security that is achieved by the collection of components described in this paper

Direct Measurement of the Quantum Wavefunction

Central to quantum theory, the wavefunction is the complex distribution used to completely describe a quantum system. Despite its fundamental role, it is typically introduced as an abstract element of the theory with no explicit definition. Rather, physicists come to a working understanding of the wavefunction through its use to calculate measurement outcome probabilities via the Born Rule. Presently, scientists determine the wavefunction through tomographic methods, which estimate the wavefunction that is most consistent with a diverse collection of measurements. The indirectness of these methods compounds the problem of defining the wavefunction. Here we show that the wavefunction can be measured directly by the sequential measurement of two complementary variables of the system. The crux of our method is that the first measurement is performed in a gentle way (i.e. weak measurement) so as not to invalidate the second. The result is that the real and imaginary components of the wavefunction appear directly on our measurement apparatus. We give an experimental example by directly measuring the transverse spatial wavefunction of a single photon, a task not previously realized by any method. We show that the concept is universal, being applicable both to other degrees of freedom of the photon (e.g. polarization, frequency, etc.) and to other quantum systems (e.g. electron spin-z quantum state, SQUIDs, trapped ions, etc.). Consequently, this method gives the wavefunction a straightforward and general definition in terms of a specific set of experimental operations. We expect it to expand the range of quantum systems scientists are able to characterize and initiate new avenues to understand fundamental quantum theory

Resource Intensity for Children and Youth: The Development of an Algorithm to Identify High Service Users in Children’s Mental Health

Children’s mental health care plays a vital role in many social, health care, and education systems, but there is evidence that appropriate targeting strategies are needed to allocate limited mental health care resources effectively. The aim of this study was to develop and validate a methodology for identifying children who require access to more intense facility-based or community resources. Ontario data based on the interRAI Child and Youth Mental Health instruments were analysed to identify predictors of service complexity in children’s mental health. The Resource Intensity for Children and Youth (RIChY) algorithm was a good predictor of service complexity in the derivation sample. The algorithm was validated with additional data from 61 agencies. The RIChY algorithm provides a psychometrically sound decision-support tool that may be used to inform the choices related to allocation of children’s mental health resources and prioritisation of clients needing community- and facility-based resources