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Parent Peer Advocacy, Mentoring, and Support in Child Protection:A Scoping Review of Programs and Services
Get PDFParent peer advocacy, mentoring, and support programs, delivered by parents with lived child protection (CP) experience to parents receiving CP intervention, are increasingly recognized internationally as inclusive practices that promote positive outcomes, but little is known about what shared characteristics exist across these types of programs and what variations may exist in service delivery or impact. This scoping review examines 25 years (1996–2021) of empirical literature on these programs to develop a systematic mapping of existing models and practices as context for program benefits and outcome achievement. Method: Studies were selected using a systematic search process. The final sample comprised 45 publications that addressed research on 24 CP-related parent peer advocacy and support programs. Data analysis explored how programs were studied and conceptualized and examined their impact on parents, professionals, and the CP system. Results: Substantial variation in program settings, target populations, aims, advocate roles, and underlying theoretical frameworks were identified. Across program settings, existing empirical evidence on impact and outcomes also varied, though positive impacts and outcomes were evident across most settings. Conclusions: Findings from this review highlight the need to account better for parent peer advocacy and support program variations in future practice development to ensure alignment with inclusive and participatory principles and goals. Future research is also needed to address current knowledge gaps and shed light on the impact of these differences on individual, case, and system outcomes
Efficient Premature Ventricular Contraction Detection Based on Network Dynamics Features
Get PDFAutomatic detection of premature ventricular contractions (PVCs) is essential for early identification of cardiovascular abnormalities and reduction of clinical workload. As the most prevalent arrhythmia, PVCs can cause cardiac failure or sudden death. The difficulty resides in extracting features that effectively reflect the electrocardiogram (ECG) signals. Transition networks (TN), which represent the transition relationships between various phases of a time series, are advantageous for capturing temporal dynamics. Therefore, in order to recognize PVCs, each heartbeat was firstly split into serval segments; then their statistical properties were calculated for the sequence construction; finally, network topology related features were extracted from TN constructed by these sequences of statistical properties, and input into decision trees-based Gentleboost for PVC recognition. The algorithm was trained on MIT-BIH arrhythmia database (MIT-BIH-AR), and tested on St. Petersburg Institute of Cardiological Technics 12-lead arrhythmia database (INCART), wearable ECG database (WECG), and noise stress test database by four evaluation metrics: sensitivity, positive predictivity, F1-score (F1) and area under the curve (AUC). The proposed algorithm achieved an average F1 of 0.9784 and AUC of 0.9975 on MIT-BIH-AR, and proved good generalization ability on INCART and WECG with F1=0.9633 and 0.9467, AUC=0.9887 and 0.9755, respectively. The algorithm also exhibited robustness and noise immunity as evidenced by tests on sensitivity of R-wave peak offset and noise, and real-world daily life conditions. Overall, the proposed PVC detection algorithm based on TN theory offered high classification accuracy, strong robustness, and good generalization ability, with great potential for wearable mobile applications
A coarse Tutte polynomial for hypermaps
Get PDFWe give an analogue of the Tutte polynomial for hypermaps. This polynomial can be defined as either a sum over subhypermaps, or recursively through deletion-contraction relations where the base case consists of isolated vertices. Our Tutte polynomial extends the classical Tutte polynomial of a graph as well as the Tutte polynomial of an embedded graph (i.e., the ribbon graph polynomial). We examine relations between our polynomial and other hypermap polynomials. We give hypermap duality and partial duality identities for our polynomial, as well as some evaluations
Exploring the Roles of Compassion and post-traumatic stress disorder on Global Distress after Sexual Trauma
Get PDFThe Protection of Rights and Advancement of GenderS:In Conversation with Abigail Nappier Cherup, Kevin D. Thomas, Wendy Hein, and Jack Coffin
Get PDFIn this panel discussion, we explore various ways that academics can advance work related to genderS, intersectionality and inequities so that it has impact within academia and in society. Panelists offer practical insights, relate challenges in doing this work, and suggest avenues for alternative yet impactful dissemination of work. The purpose is to demonstrate how those interested in supporting or working in this space might move from being allies to advocates and accomplices
Student’s impression management and self-presentation behaviours via online educational platforms:An archival review
Get PDFAcross global higher education contexts, students and staff are communicating online. Online communication is facilitated by the online disinhibition effect (reduction of nonverbal cues eases communication) and in turn this may make online self-presentation (behaviours used to present a desired version of the self) easier. Students may be utilising online self-presentation techniques to facilitate online communication with staff. We know that online self-presentation techniques can be advantageous, but where inappropriate they may be detrimental to the student-staff relationship. This study explores whether students are using self-presentation techniques when they communicate online with staff via an archival review of both private (e-mail messages) and public (Moodle forum posts) online educational environments. Through a deductive thematic analysis we identify that students are indeed using online self-presentation techniques but that these vary depending on whether the online educational environment is private or public. This is the first study to explore this topic via an archival review and we encourage future research to consider the role of online self-presentation techniques within student-staff communication
Upper Control Limit Calculation for Bad Data Detection in Spatiotemporal Power Quality Massive Data and its Application to Harmonic Load Flow Study
Get PDFAugmented Statistics of Quaternion Random Variables:A Lynchpin of Quaternion Learning Machines
Get PDFLearning machines for vector sensor data are naturally developed in the quaternion domain and are underpinned by quaternion statistics. To this end, we revisit the `augmented' representation basis for discrete quaternion random variables q^a[n], i.e. [ q[n] q^i[n] q^j[n] q^k[n] ]; and demonstrate its pivotal role in the treatment of the generality of quaternion random variables (RV). This is achieved by a rigorous consideration of the augmented quaternion RV, and by involving for additional second order statistics, besides the traditional covariance E{q[n]q*[n]}. To illuminate the usefulness of quaternions, we consider their most well-known application - three-dimensional (3D) orientation and offer an account of augmented statistics for purely imaginary (pure) quaternions. The quaternion statistics presented here can be exploited in the analysis of the existing and the development of novel statistical machine learning methods, hence acting as a lynchpin for quaternion learning machines
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