793 research outputs found

    Paraprofessionals - An Invaluable and Indispensible Resource

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    Education in the Empty Quarter: How Have We Fared?

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    Garreau (1981) used the Arabic term Rub ‘al Khali, or Empty Quarter, to label the Intermountain West portion of the United States. In Saudi Arabia, the Empty Quarter is a large, dry, and relatively unpopulated area with a wealth of energy resources not unlike the Intermountain West. Garreau described changes in the area that were associated with changes in commerce and industry during the 20th century, particularly with respect to mining ventures and the discovery of oil and natural gas in the region. Although Garreau discussed many ways that these changes impacted the people and environment, he did not discuss the actual impact, or predicted impact on the education of children and youth in the region. The purpose of this article is to examine the impact of these changes on the functioning of schools in the Empty Quarter and to propose considerations for improving educational services in the region

    The core symptoms of bulimia nervosa, anxiety, and depression: A network analysis.

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    Bulimia nervosa (BN) is characterized by symptoms of binge eating and compensatory behavior, and overevaluation of weight and shape, which often co-occur with symptoms of anxiety and depression. However, there is little research identifying which specific BN symptoms maintain BN psychopathology and how they are associated with symptoms of depression and anxiety. Network analyses represent an emerging method in psychopathology research to examine how symptoms interact and may become self-reinforcing. In the current study of adults with a Diagnostic and Statistical Manual for Mental Disorders-Fourth Edition (DSM-IV) diagnosis of BN (N = 196), we used network analysis to identify the central symptoms of BN, as well as symptoms that may bridge the association between BN symptoms and anxiety and depression symptoms. Results showed that fear of weight gain was central to BN psychopathology, whereas binge eating, purging, and restriction were less central in the symptom network. Symptoms related to sensitivity to physical sensations (e.g., changes in appetite, feeling dizzy, and wobbly) were identified as bridge symptoms between BN, and anxiety and depressive symptoms. We discuss our findings with respect to cognitive-behavioral treatment approaches for BN. These findings suggest that treatments for BN should focus on fear of weight gain, perhaps through exposure therapies. Further, interventions focusing on exposure to physical sensations may also address BN psychopathology, as well as co-occurring anxiety and depressive symptoms. (PsycINFO Database Recor

    The T2K ND280 Off-Axis Pi-Zero Detector

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    The Pi-Zero detector (P{\O}D) is one of the subdetectors that makes up the off-axis near detector for the Tokai-to-Kamioka (T2K) long baseline neutrino experiment. The primary goal for the P{\O}D is to measure the relevant cross sections for neutrino interactions that generate pi-zero's, especially the cross section for neutral current pi-zero interactions, which are one of the dominant sources of background to the electron neutrino appearance signal in T2K. The P{\O}D is composed of layers of plastic scintillator alternating with water bags and brass sheets or lead sheets and is one of the first detectors to use Multi-Pixel Photon Counters (MPPCs) on a large scale.Comment: 17 pages, submitted to NIM

    The Athletes\u27 Relationships with Training Scale (ART): A Self-Report Measure of Unhealthy Training Behaviors Associated with Eating Disorders

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    Objective: Several studies indicate that eating-disorder (ED) psychopathology is elevated in athletes compared to non-athletes. The assessment of excessive exercise among athletes is a challenge because, compared to non-athletes, athletes are required to train at higher intensities and for longer periods of time. However, individuals participating in competitive sports are still susceptible to unhealthy physical-activity patterns. Most ED assessments were developed and normed in non-athlete samples and, therefore, do not capture the nuances of athletes\u27 training experiences. The purpose of the current study was to develop and validate a clinically useful, self-report measure of unhealthy training behaviors and beliefs in athletes, the Athletes\u27 Relationships with Training Scale (ART). Method: The initial item pool was administered to N = 267 women collegiate athletes who were participating in an ED prevention program study and N = 65 women athletes who were in ED treatment. Results: Factor analyses indicated the ART had a four-factor structure. Factorial and construct validity of the ART were demonstrated. ART scores significantly predicted health care utilization and differed between athletes with an ED versus athletes without an ED. For athletes in ED treatment, ART scores significantly decreased from treatment admission to discharge. Discussion: The ART showed evidence of strong psychometric properties and clinical utility. The ART could be helpful for clinicians and athletic trainers to help gauge whether athletes are engaging in unhealthy training practices that may warrant clinical attention and for tracking clinical outcomes in athletes with EDs who are receiving treatment

    A complex network approach to structural inequality of educational deprivation in a Latin American country

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    To guarantee the human right to education established by the fourth UNESCO’s Sustainable Development Goal, a deep understanding of a big set of non-linear relationships at different scales is need it, as well as to know how they impact on learning outcomes. In doing so, current methods do not provide enough evidence about interactions and, for this reason, some researchers have proposed to model education as a complex system for considering all interactions at individual level, as well as using computer simulation and network analysis to provide a comprehensive look at the educational processes, as well as to predict the outcomes of different public policies. The highlight of this paper is modeling the structure of the inequality of a national educational system as a complex network from learning outcomes and socio-economic, ethnicity, rurality and type of school funding, for providing a better understanding and measuring of the educational gaps. This new approach might help to integrate insights improving the theoretical framework, as well as to provide valuable information about non-trivial relationships between educational and non-educational variables in order to help policymakers to implement effective solutions for the educational challenge of ensuring inclusive and equitable education.info:eu-repo/semantics/acceptedVersio

    Inequality in learning outcomes: Unveiling educational deprivation through complex network analysis

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    Understanding which factors are determinant to guarantee the human right to education entails the study of a large number of non-linear relationships among multiple agents and their impact on the properties of the entire system. Complex network analysis of large-scale assessment results provides a set of unique advantages over classical tools for facing the challenge of measuring inequality gaps in learning outcomes and recognizing those factors associated with educational deprivation, combining the richness of qualitative analysis with quantitative inferences. This study establishes two milestones in educational research using a census high-quality data from a Latin American country. The first one is to provide a direct method to recognize the structure of inequality and the relationship between social determinants as ethnicity, socioeconomic status of students, rurality of the area and type of school funding and educational deprivation. The second one focus in unveil and hierarchize educational and non-educational factors associated with the conditional distribution of learning outcomes. This contribution provides new tools to current theoretical framework for discovering non-trivial relationships in educational phenomena, helping policymakers to address the challenge of ensuring inclusive and equitable education for those historically marginalized population groups.info:eu-repo/semantics/acceptedVersio

    Are we really delivering evidence-based treatments for eating disorders? How eating disordered patients describe their experience of cognitive behavioral therapy

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    Psychotherapists report routinely not practising evidence-based treatments. However, there is little research examining the content of therapy from the patient perspective. This study examined the self-reported treatment experiences of individuals who had been told that they had received cognitive-behavior therapy (CBT) for their eating disorder. One hundred and fifty-seven such sufferers (mean age = 25.69 years) were recruited from self-help organisations. Participants completed an online survey assessing demographics, clinical characteristics, and therapy components. The use of evidence-based CBT techniques varied widely, with core elements for the eating disorders (e.g., weighing and food monitoring) used at well below the optimum level, while a number of unevidenced techniques were reported as being used commonly. Cluster analysis showed that participants received different patterns of intervention under the therapist label of ‘CBT’, with evidence-based CBT being the least common. Therapist age and patient diagnosis were related to the pattern of intervention delivered. It appears that clinicians are not subscribing to a transdiagnostic approach to the treatment of eating disorders. Patient recollections in this study support the conclusion that evidence-based practice is not routinely undertaken with this client group, even when the therapy offered is described as such
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