A produção de significados na elaboração escrita em língua inglesa na atividade social: participação de Pen- Pal

Este trabalho tem como objetivo analisar a produção de significados na elaboração escrita em língua inglesa dos alunos de uma escola pública a partir do desenvolvimento de atividades criadas por esta educadora no PIBID-LI/UNISO3. O estudo fundamenta-se em conceitos sobre o ensino-aprendizagem de língua inglesa por meio de Atividade Social (LIBERALI, 2009), o brincar na concepção vygotskyana (HOLZMAN, 2009) e atividade criadora (VYGOTSKY, 1930/1987). A análise é desenvolvida a partir de excertos advindos da elaboração escrita em língua inglesa dos alunos do 8º ano de uma escola pública. A metodologia é de Pesquisa Crítico-Colaborativa - PCcol (MAGALHÃES, 2009). Os excertos são discutidos a partir de categorias argumentativas que centralizam os aspectos enunciativo-discursivo-linguísticos (Liberali, 2013, apud VENDRAMINI ZANELLA, 2013) e interpretados mediante o aporte teórico apresentado neste trabalho. A partir da elaboração dos alunos, constata-se as dificuldades enfrentadas, além da produção de significados e da importância dos instrumentos multimodais para tornar o estudo da língua inglesa atrativo

Sequence and annotation of the 288-kb ATCV-1 virus that infects an endosymbiotic chlorella strain of the heliozoon \u3ci\u3eAcanthocystis turfacea\u3c/i\u3e

Acanthocystis turfacea chlorella virus (ATCV-1), a prospective member of the family Phycodnaviridae, genus Chlorovirus, infects a unicellular, eukaryotic, chlorella-like green alga, Chlorella SAG 3.83, that is a symbiont in the heliozoon A. turfacea. The 288,047-bp ATCV-1 genome is the first virus to be sequenced that infects Chlorella SAG 3.83. ATCV-1 contains 329 putative protein-encoding and 11 tRNA-encoding genes. The protein-encoding genes are almost evenly distributed on both strands and intergenic space is minimal. Thirty-four percent of the viral gene products resemble entries in the public databases, including some that are unexpected for a virus. For example, these unique gene products include ribonucleoside-triphosphate reductase, dTDP-D-glucose 4,6 dehydratase, potassium ion transporter, aquaglyceroporin, and mucindesulfating sulfatase. Comparison of ATCV-1 protein-encoding genes with the prototype chlorella virus PBCV-1 indicates that about 80% of the ATCV-1 genes are present in PBCV-1

Breaking the cycle: Identifying key symptom pathways of eating disorders and the influence of childhood maltreatment

BackgroundMost network analyses on central symptoms in eating disorders (EDs) have been cross-sectional. Longitudinal within-person analyses of therapy processes are scarce. Our aim was to investigate central change processes in therapy in a transdiagnostic sample, considering the influence of childhood maltreatment.MethodWe employed dynamic time warping analyses to identify clusters of symptoms that tended to change similarly across therapy on a within-person level. Symptoms were measured by a 28-item Eating Disorder Examination Questionnaire (EDE-Q). Furthermore, we examined the temporal direction of symptom change to identify symptoms that tended to precede and predict other symptoms. Finally, we estimated two directed, temporal networks in patients with and without a history of childhood maltreatment.ResultsOur analysis included 122 ED patients (mean age = 30.9, SD = 9.7; illness duration = 14.2 years, SD = 8.9; prior treatment = 5.6 years, SD = 5.1). The initial network revealed three robust clusters of symptoms over time: (1) ED behavior, (2) inhibition, and (3) cognitions and feelings about body and weight. Overvaluation of shape had the highest out-strength preceding and predicting other symptoms. Dissatisfaction with weight preceded and predicted other symptoms in the maltreatment network. The non-maltreatment network showed a similar structure to the transdiagnostic network.ConclusionTargeting and monitoring feelings and cognitions related to shape may be crucial for achieving lasting symptom improvement in a transdiagnostic sample. Furthermore, our findings highlight the need for further investigation into the different processes driving EDs based on maltreatment status.Stress-related psychiatric disorders across the life spa

Cognitive behavioral therapy versus compassion focused therapy for adult patients with eating disorders with and without childhood trauma: A randomized controlled trial in an intensive treatment setting

Objective Treatments for eating disorders are moderately effective, with cognitive behavior therapy (CBT) providing the strongest evidence. However, it remains important to investigate other interventions, particularly for eating disorders with greater complexity (e.g., substantial comorbidity; trauma history) or for patients who have not responded adequately to previous treatments. Method This randomized controlled trial compared CBT against compassion-focused therapy for eating disorders (CFT-E), where half of the sample had a childhood trauma history. The study was pre-registered and adequately powered. A total of 130 patients were randomly assigned to CBT or CFT-E and were assessed at pre-treatment, post-treatment and one-year follow-up. The primary outcome measure was the total score on the Eating Disorder Examination-Interview (EDE), and secondary outcome measures were the Symptom Checklist-90, Inventory of Interpersonal Problems–64 and Post-Traumatic Symptom Scale. Attrition during treatment was low (13%), suggesting good acceptability. Results Eating pathology (EDE scores) reduced substantially overall, with large effect sizes, and there were no differences between therapies. However, at follow-up, for patients with a childhood trauma history, CFT-E maintained benefits better than CBT. Conclusion: While both CBT and CFT-E resulted in significant reductions in eating pathology, CFT-E showed superior maintenance of benefits for patients with a history of childhood trauma at one-year follow-up, underlining the necessity of tailored interventions for specific patient subgroups

Knowledge Questions from Knowledge Graphs

We address the novel problem of automatically generating quiz-style knowledge questions from a knowledge graph such as DBpedia. Questions of this kind have ample applications, for instance, to educate users about or to evaluate their knowledge in a specific domain. To solve the problem, we propose an end-to-end approach. The approach first selects a named entity from the knowledge graph as an answer. It then generates a structured triple-pattern query, which yields the answer as its sole result. If a multiple-choice question is desired, the approach selects alternative answer options. Finally, our approach uses a template-based method to verbalize the structured query and yield a natural language question. A key challenge is estimating how difficult the generated question is to human users. To do this, we make use of historical data from the Jeopardy! quiz show and a semantically annotated Web-scale document collection, engineer suitable features, and train a logistic regression classifier to predict question difficulty. Experiments demonstrate the viability of our overall approach