599 research outputs found

    Call Me Caitlyn: Making and making over the 'authentic' transgender body in Anglo-American popular culture

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    A conception of transgender identity as an ‘authentic’ gendered core ‘trapped’ within a mismatched corporeality, and made tangible through corporeal transformations, has attained unprecedented legibility in contemporary Anglo-American media. Whilst pop-cultural articulations of this discourse have received some scholarly attention, the question of why this 'wrong body' paradigm has solidified as the normative explanation for gender transition within the popular media remains underexplored. This paper argues that this discourse has attained cultural pre-eminence through its convergence with a broader media and commercial zeitgeist, in which corporeal alteration and maintenance are perceived as means of accessing one’s ‘authentic’ self. I analyse the media representations of two transgender celebrities: Caitlyn Jenner and Nadia Almada, alongside the reality TV show TRANSform Me, exploring how these women’s gender transitions have been discursively aligned with a cultural imperative for all women, cisgender or trans, to display their authentic femininity through bodily work. This demonstrates how established tropes of authenticity-via-bodily transformation, have enabled transgender to become culturally legible through the wrong body trope. Problematically, I argue, this process has worked to demarcate ideals of ‘acceptable’ transgender subjectivity: self-sufficient, normatively feminine, and eager to embrace the possibilities for happiness and social integration provided by the commercial domain

    Game Over? No Main or Subgroup Effects of the Good Behavior Game in a Randomized Trial in English Primary Schools

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    This study aimed to examine the impact of a universal, school-based intervention, the Good Behavior Game (GBG), on children’s behavior, and to explore any subgroup moderator effects among children at varying levels of cumulative risk (CR) exposure. A 2-year cluster-randomized controlled trial was conducted comprising 77 primary schools in England. Teachers in intervention schools delivered the GBG, whereas their counterparts in control schools continued their usual provision. Behavior (specifically disruptive behavior, concentration problems, and pro-social behavior) was assessed via the checklist version of the Teacher Observation of Classroom Adaptation. A CR index was calculated by summing the number of risk factors to which each child was exposed. Multilevel models indicated that no main or subgroup effects were evident. These findings were largely insensitive to the modeling of CR although a small intervention effect on disruptive behavior was found when the curvilinear trend was used. Further sensitivity analyses revealed no apparent influence of the level of program differentiation. In sum, our findings indicate that the GBG does not improve behavior when implemented in this sample of English schools

    Experimental snap loading of synthetic ropes

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    Abstract. Large tensile forces, known as snap loads, can occur when a slack rope becomes taut. Such forces may damage the rope or masses connected to it. Experiments are described in which one end of a rope is attached to the top of a drop tower and the bottom end is attached to a weight. The weight is raised to a certain height and then released. The force at the top of the rope and the acceleration of the weight are recorded during the first snap load that occurs. Repeated drop tests are performed on each rope. The effects of the type of rope, drop height, drop weight, whether the rope has been subjected to static precycling, and the number of previous dynamic tests are examined. A mathematical model is proposed for the rope force as a function of the displacement and velocity of the weight

    Beyond "what works": A mixed-methods study of intervention effect modifiers in the Good Behavior Game

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    This mixed‐methods study examines two moderators of the impact of the Good Behavior Game—implementation variability, participant risk status, and the interaction between them—as predictors of behavioral and academic outcomes. Quantitative data from 38 primary schools were utilized, with outcome data collected at baseline and 2‐year follow‐up. Behavior (disruptive behavior, prosocial behavior, and concentration problems) was assessed via the Teacher Observation of Classroom Adaptation Checklist. Reading attainment was assessed via national teacher assessment scores, and the Hodder Group Reading Test. Implementation fidelity/quality data were collected via independent observations. Participant risk status was modeled using a cumulative risk index. Multilevel modeling revealed that higher levels of fidelity/quality were associated with improved overall reading scores (d = 0.203–225), but worsening disruptive behavior among high‐risk students (d = 0.560). Thematic analysis of qualitative interview data collected from 20 teachers identified six groups of at‐risk students who were perceived to experience differential effects, and five key mechanisms underpinning these

    Treatment effect modifiers in a randomized trial of the good behavior game during middle childhood.

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    Objective: Two key treatment effect modifiers—implementation variability and participant cumulative risk status—are examined as predictors of disruptive behavior outcomes in the context of a large cluster randomized controlled trial of a universal, school-based behavior management intervention. The core components of the Good Behavior Game (GBG) are classroom rules, team membership, monitoring behavior, and positive reinforcement. Children work in teams to win the game, which is played alongside a normal classroom activity, during which their teacher monitors infractions to classroom rules. Teams with four or fewer infractions at the end of the game win and are rewarded. Method: Seventy-seven English primary schools (N = 3,084 children, aged 6–7) were randomly assigned to deliver the GBG or continue their usual practice over 2 years. Results: Intent-to-treat analysis found no discernible impact of the intervention on children’s disruptive behavior. Additionally, subgroup analyses revealed no differential gains among children at low, moderate or high levels of cumulative risk exposure (CRE). However, complier average causal effect estimation (CACE) using dosage as a compliance marker identified a large, statistically significant intervention effect (d = −1.35) among compliers (>1,030 min of cumulative intervention exposure). Furthermore, this compliance effect varied by participant CRE, such that children at high and low levels of exposure experienced significantly greater and lesser reductions in disruptive behavior, respectively. Conclusions: These findings highlight the importance of optimizing implementation and demonstrate the utility of CRE as a theoretically informed approach to subgroup moderator analysis. Implications are discussed and study strengths and limitations are noted

    A systematic review of dedicated models of care for emergency urological patients

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    Available online 26 June 2020Objective: To systematically evaluate the spectrum of models providing dedicated resources for emergency urological patients (EUPs). Methods: A search of Cochrane, Embase, Medline and grey literature from January 1, 2000 to March 26, 2019 was performed using methods pre-published on PROSPERO. Reporting followed Preferred Reporting Items for Systematic Review and meta-analysis guidelines. Eligible studies were articles or abstracts published in English describing dedicated models of care for EUPs, which reported at least one secondary outcome. Studies were excluded if they examined pathways dedicated only to single presentations, such as torsion, or outpatient solutions, such as rapid access clinics. The primary outcome was the spectrum of models. Secondary outcomes were time-to-theatre, length of stay, complications and cost. Results: Seven studies were identified, totalling 487 patients. Six studies were conference abstracts, while one study was of full-text length but published in grey literature. Four distinct models were described. These included consultant urologists allocated solely to the care of EUPs (“Acute Urological Unit”) or dedicated registrars or operating theatres (“Hybrid structures”). In some services, EUPs bypassed emergency department assessment and were referred directly to urology (“Urological Assessment Unit”) or were managed by other dedicated means. Allocating services to EUPs was associated with reduced time-to-theatre, length of stay and hospital cost, and improved supervision of junior medical staff. Conclusion: Multiple dedicated models of care exist for EUPs. Low-level evidence suggests these may improve outcomes for patients, staff and hospitals. Higher quality studies are required to explore patient outcomes and minimum requirements to establish these models.Ned Kinnear, Matheesha Herath, Dylan Barnett, Derek Hennessey, Christopher Dobbins, Tarik Sammour, James Moor

    Evolution of associative learning in chemical networks

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    Organisms that can learn about their environment and modify their behaviour appropriately during their lifetime are more likely to survive and reproduce than organisms that do not. While associative learning – the ability to detect correlated features of the environment – has been studied extensively in nervous systems, where the underlying mechanisms are reasonably well understood, mechanisms within single cells that could allow associative learning have received little attention. Here, using in silico evolution of chemical networks, we show that there exists a diversity of remarkably simple and plausible chemical solutions to the associative learning problem, the simplest of which uses only one core chemical reaction. We then asked to what extent a linear combination of chemical concentrations in the network could approximate the ideal Bayesian posterior of an environment given the stimulus history so far? This Bayesian analysis revealed the ’memory traces’ of the chemical network. The implication of this paper is that there is little reason to believe that a lack of suitable phenotypic variation would prevent associative learning from evolving in cell signalling, metabolic, gene regulatory, or a mixture of these networks in cells

    Human pluripotent stem cell modeling of alveolar type 2 cell dysfunction caused by ABCA3 mutations

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    Mutations in ATP-binding cassette A3 (ABCA3), a phospholipid transporter critical for surfactant homeostasis in pulmonary alveolar type II epithelial cells (AEC2s), are the most common genetic causes of childhood interstitial lung disease (chILD). Treatments for patients with pathological variants of ABCA3 mutations are limited, in part due to a lack of understanding of disease pathogenesis resulting from an inability to access primary AEC2s from affected children. Here, we report the generation of AEC2s from affected patient induced pluripotent stem cells (iPSCs) carrying homozygous versions of multiple ABCA3 mutations. We generated syngeneic CRISPR/Cas9 gene-corrected and uncorrected iPSCs and ABCA3-mutant knockin ABCA3:GFP fusion reporter lines for in vitro disease modeling. We observed an expected decreased capacity for surfactant secretion in ABCA3-mutant iPSC-derived AEC2s (iAEC2s), but we also found an unexpected epithelial-intrinsic aberrant phenotype in mutant iAEC2s, presenting as diminished progenitor potential, increased NFÎșB signaling, and the production of pro-inflammatory cytokines. The ABCA3:GFP fusion reporter permitted mutant-specific, quantifiable characterization of lamellar body size and ABCA3 protein trafficking, functional features that are perturbed depending on ABCA3 mutation type. Our disease model provides a platform for understanding ABCA3 mutation-mediated mechanisms of alveolar epithelial cell dysfunction that may trigger chILD pathogenesis
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