841 research outputs found

    Enhancing coach-parent relationships in youth sports: increasing harmony and minimizing hassle

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    Frank Smoll and his colleagues should be commended on continuing to advance the worthy aim of making youth-sport participation more enjoyable. Indeed, the body of work generated by Smith and Smoll [e.g., 1], along with the more recent contributions of Cumming [e.g., 2], have been highly influential in coaching research and practice over a number of years. In this commentary, we focus on three of the five areas covered by the authors: i) the difference between youth and professional models of sport; ii) the goals of youth sports; and iii) parental responsibilities and challenges

    Earthquake forecasting and its verification

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    No proven method is currently available for the reliable short time prediction of earthquakes (minutes to months). However, it is possible to make probabilistic hazard assessments for earthquake risk. These are primarily based on the association of small earthquakes with future large earthquakes. In this paper we discuss a new approach to earthquake forecasting. This approach is based on a pattern informatics (PI) method which quantifies temporal variations in seismicity. The output is a map of areas in a seismogenic region (``hotspots'') where earthquakes are forecast to occur in a future 10-year time span. This approach has been successfully applied to California, to Japan, and on a worldwide basis. These forecasts are binary--an earthquake is forecast either to occur or to not occur. The standard approach to the evaluation of a binary forecast is the use of the relative operating characteristic (ROC) diagram, which is a more restrictive test and less subject to bias than maximum likelihood tests. To test our PI method, we made two types of retrospective forecasts for California. The first is the PI method and the second is a relative intensity (RI) forecast based on the hypothesis that future earthquakes will occur where earthquakes have occurred in the recent past. While both retrospective forecasts are for the ten year period 1 January 2000 to 31 December 2009, we performed an interim analysis 5 years into the forecast. The PI method out performs the RI method under most circumstances.Comment: 10(+1) pages, 5 figures, 2 tables. Submitted to Nonlinearl Processes in Geophysics on 5 August 200

    Characteristics of crashes involving injured children in side impacts

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    The objective of this study was to define the crash characteristics of near-side impact crashes in which children seated in the rear rows are injured. The crash characteristics included the direction of force, heading angle, horizontal impact location, vertical impact location, extent of deformation and intrusion at the child occupant's seating position. Cases from in-depth crash investigation databases of the NASS-CDS (National Automotive Sampling System-Crashworthiness Data System), CIREN (Crash Injury Research and Engineering Network) and Chalmers University of Technology were reviewed. The principal direction of force was most frequently between 60° and 75°. The heading angle of the bullet vehicle was most commonly between 61° and 90°. The bullet vehicle hit the passenger compartment of the target vehicle, particularly the rear door. Often, one or both of the adjacent pillars to the rear door were involved, most commonly the B pillar. In 11 of 16 crashes, the car sill was not engaged. Most commonly, the deformation extent was into Zone 3 or more – about 40 cm – and the intrusion at the child's seating position was in the range 20–30 cm. This review of the crashes revealed differences between the current side impact test procedures and the actual side impact crashes in which children were injured

    Abnormal neurofilament inclusions and segregations in dorsal root ganglia of a Charcot-Marie-Tooth type 2E mouse model

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    Charcot-Marie-Tooth (CMT) disease or hereditary motor and sensory neuropathy is the most prevalent inherited peripheral neuropathy and is associated with over 90 causative genes. Mutations in neurofilament light polypeptide gene, NEFL cause CMT2E, an axonal form of CMT that results in abnormal structures and/or functions of peripheral axons in spinal cord motor neurons and dorsal root ganglion neurons. We have previously generated and characterized a knock-in mouse model of CMT2E with the N98S mutation in Nefl that presented with multiple inclusions in spinal cord neurons. In this report, we conduct immunofluorescence studies of cultured dorsal root ganglia (DRG) from NeflN98S/+ mice, and show that inclusions found in DRG neurites can occur in embryonic stages. Ultrastructural analyses reveal that the inclusions are disordered neurofilaments packed in high density, segregated from other organelles. Immunochemical studies show decreased NFL protein levels in DRG, cerebellum and spinal cord in NeflN98S/+ mice, and total NFL protein pool is shifted toward the triton-insoluble fraction. Our findings reveal the nature of the inclusions in NeflN98S/+ mice, provide useful information to understand mechanisms of CMT2E disease, and identify DRG from NeflN98S/+ mice as a useful cell line model for therapeutic discoveries

    Primary Early Childhood Educators’ Perspectives of Trauma-Informed Knowledge, Confidence, and Training

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    There is a growing body of research documenting the impact of traumatic stress on child development, which has resulted in a call to action for trauma-informed practices as a priority, yet implementation within schools and training for educators is lacking (American Academy of Physicians, https://www.aap.org/en-us/Documents/ttb_aces_consequences.pdf, 2014). Understanding teachers’ perceptions regarding current levels of knowledge, self-efficacy, and trauma-informed training can help guide future professional development experiences for both pre-service and practicing teachers. This study investigated the knowledge, self-efficacy, and training of trauma-informed practices as self-reported by primary educators, serving in grades kindergarten through third-grade, within two regions of Tennessee and Virginia. The Primary Early Childhood Educators Trauma-Informed Care Survey for Knowledge, Confidence, and Relationship Building (PECE-TICKCR) scale was adapted from the TIC-DS scale (Goodwin-Glick in Impact of trauma-informed care professional development of school personnel perceptions of knowledge, disposition, and behaviours towards traumatised students, Graduate College of Bowling Green State University, 2017), validated, and created for the purpose of this study. The sample consisted of 218 primary educators who completed an online survey regarding personal knowledge, self-efficacy, and training experiences of trauma-informed practices. Correlations revealed a statistical significance between the Knowledge of Trauma factor and the Confidence in Providing Trauma-Informed Strategies factor. There was also a statistical significance between the Knowledge of Trauma factor and the Confidence in Creating Supportive relationships factor and between the Confidence in Providing Trauma-Informed Strategies factor and the Confidence in Creating Supportive Relationships factor. The findings indicated that teachers need more knowledge regarding community resources for families and students but feel confident in providing supportive relationships. Teachers also are interested in more training events related to strategies to use when working with students exposed to trauma. Implications for teacher preparation programs and professional development training for practicing teachers is discussed

    Effect of mattress deflection on CPR quality assessment for older children and adolescents

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    Appropriate chest compression (CC) depth is associated with improved CPR outcome. CCs provided in hospital are often conducted on a compliant mattress. The objective was to quantify the effect of mattress compression on the assessment of CPR quality in children. Methods: A force and deflection sensor (FDS) was used during CPR in the Pediatric Intensive Care Unit and Emergency Department of a children's hospital. The sensor was interposed between the chest of the patient and hands of the rescuer and measured CC depth. Following CPR event, each event was reconstructed with a manikin and an identical mattress/backboard/patient configuration. CCs were performed using FDS on the sternum and a reference accelerometer attached to the spine of the manikin, providing a means to Calculate the mattress deflection. Results: Twelve CPR events with 14,487 CC (11 patients, median age 14.9 years) were recorded and reconstructed: 9 on ICU beds (9296 CC), 3 on stretchers (5191 CC). Measured mean CC depth during CPR was 47 +/- 8 mm on ICU beds, and 45 +/- 7 mm on stretcher beds with overestimation of 13 +/- 4 mm and 4 +/- 1 mm, respectively, due to mattress compression. After adjusting for this, the proportion of CC that met the CPR guidelines decreased from 88.4 to 31.8% on ICU beds (p < 0.001), and 86.3 to 64.7% on stretcher (p < 0.001 The proportion of appropriate depth CC was significantly smaller on ICU beds (p < 0.001). Conclusion: CC conducted on a non-rigid surface may not be deep enough. FDS may overestimate CC depth by 28% on ICU beds, and 10% on stretcher beds

    StyleGAN2-based Out-of-Distribution Detection for Medical Imaging

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    One barrier to the clinical deployment of deep learning-based models is the presence of images at runtime that lie far outside the training distribution of a given model. We aim to detect these out-of-distribution (OOD) images with a generative adversarial network (GAN). Our training dataset was comprised of 3,234 liver-containing computed tomography (CT) scans from 456 patients. Our OOD test data consisted of CT images of the brain, head and neck, lung, cervix, and abnormal livers. A StyleGAN2-ADA architecture was employed to model the training distribution. Images were reconstructed using backpropagation. Reconstructions were evaluated using the Wasserstein distance, mean squared error, and the structural similarity index measure. OOD detection was evaluated with the area under the receiver operating characteristic curve (AUROC). Our paradigm distinguished between liver and non-liver CT with greater than 90% AUROC. It was also completely unable to reconstruct liver artifacts, such as needles and ascites.Comment: Extended abstract published in the "Medical Imaging Meets NeurIPS" workshop at NeurIPS 2022. Original abstract can be found at http://www.cse.cuhk.edu.hk/~qdou/public/medneurips2022/125.pd

    Systematic procedural and sensitivity analysis of the pattern informatics method for forecasting large (M > 5) earthquake events in southern California

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    Recent studies in the literature have introduced a new approach to earthquake forecasting based on representing the space-time patterns of localized seismicity by a time-dependent system state vector in a real-valued Hilbert space and deducing information about future space-time fluctuations from the phase angle of the state vector. While the success rate of this Pattern Informatics (PI) method has been encouraging, the method is still in its infancy. Procedural analysis, statistical testing, parameter sensitivity investigation and optimization all still need to be performed. In this paper, we attempt to optimize the PI approach by developing quantitative values for "predictive goodness" and analyzing possible variations in the proposed procedure. In addition, we attempt to quantify the systematic dependence on the quality of the input catalog of historic data and develop methods for combining catalogs from regions of different seismic rates.Comment: 39 pages, 4 tables, 9 figures. Submitted to Pure and Applied Geophysics on 30 November 200

    The Emergence of Behavioral Addiction in DSM-5

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    The release of the latest edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) has sparked continuous debate about the structure, organization, and inclusion or exclusion of mental disorders. The term addiction made its first appearance in the manual with the category of Substance-Related and Addictive Disorders, after much anticipation from mental health professionals. With the emergence of behavioral (process) addictions in the diagnostic manual such as gambling disorder, it is likely that other mental disorders with similar features will follow suit. Speculation about other behaviors that could potentially be addictive includes Internet use, sex, shopping, exercise, and compulsive eating, among others. The goal of the current review is twofold: to explain the concept of behavioral addictions, including a focus on gambling and Internet gaming disorders, and to discuss how the emergence of process addictions may influence the work of human services practitioners. Clinical implications within the human services profession are also discussed
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