Collaborative design methodologies for clothing flat modeling

This article reflects on the importance of collaborative design methodologies in the construction of new configurations for teaching flat clothing modeling. Within the field of teaching fashion and clothing, but specifically in the disciplines of flat modeling, several problems can be identified regarding teaching-learning. Silva and França (2018) state that there is little perceived ability to understand the execution of the molds on the part of the students, which cause the discipline to be seen with a high degree of complexity, causing dissatisfaction, both on the part of the students and by part of the teachers who teach it. This article is based on data, four surveys carried out in fashion and clothing courses in Brazil regarding teaching-learning of the flat modeling technique and from the gaps identified in its results, we will substantiate the paths taken by this research.Based on the assumption that the understanding of the reasons and the difficulties present in the contexts of the researches carried out on teaching and learning of flat modeling in recent years, are not due to individual and solitary actions, but to collective constructions of all the authors involved. In this work, concepts of collaborative design methodologies are explored, as innovative and effective methods of this construction. Understanding that, through collaborative means, it is possible to contribute with activities and solutions from different fields, starting from a new perspective when conceiving formal concepts and solutions.Thus, the question that guides this study and which will be answered is: how can collaborative design methodologies contribute to the flat modeling of clothing? The article is structured in four topics, which aims to clarify points and difficulties raised in research that were carried out in recent years on teaching and learning of flat modeling through a systematic literature review that points out data on the state of the art of flat modeling and its relationship with collaborative methodologies

Psychosocial well-being over the two years following cardiac rehabilitation initiation & association with heart-health behaviors

The objective of this research was to track psychosocial well-being over 2 years following cardiac rehabilitation (CR) initiation, and its' association with heart-health behaviors. Patients from 3 CR programs were approached at their first visit,and consenters completed a survey. Participants were emailed surveys again 6 months, 1 and 2 years later. Depressive symptoms (PHQ-8) and quality of life were assessed at each point, as were exercise, nutrition, smoking and medication adherence, among other well-being indicators. Of 411 participants, 46.7% were retained at 2 years. Post-CR, there was 70% concordance between participants' desired and actual work status. Depressive symptoms were consistently minimal over time (mean = 3.17 ± 0.37); Quality of life was high, and increased over time (p = .01). At 2 years, 56.9% participants met exercise recommendations, and 5.4% smoked. With adjustment, greater self-regulation was associated with significantly greater exercise at intake; greater exercise self-efficacy was significantly associated with greater exercise at 1 year; greater disease management self-efficacy was significantly associated with greater exercise at 2 years; greater environmental mastery (actual) was significantly associated with greater exercise at 2 years. Lower depressive symptoms were significantly associated with better nutrition at 2 years. CR initiators are thriving, and this relates to better exercise and diet.Social Sciences and Humanities Research Council (SSHRC

Recurso Educacional Digital (RED) para os anos iniciais do Ensino Fundamental aspectos pedagógicos e a Base Nacional Comum Curricular

Este estudo teve como objetivo compreender os aspectos pedagógicos envolvidos no desenvolvimento de um Recurso Educacional Digital (RED) de Língua Portuguesa, fundamentado nas habilidades da Base Nacional Comum Curricular (BNCC). De natureza qualitativa, do tipo estudo de caso, a pesquisa parte do pressuposto de que é preciso aprofundar o desenvolvimento de RED a partir de aspectos de natureza pedagógica e não somente técnica. A pesquisa evidenciou elementos importantes do desenvolvimento pedagógico, como: Alinhamento teórico, Intencionalidade pedagógica e Consistência técnico-pedagógica. Esses aspectos devem ser considerados no desenvolvimento de RED, como parte primordial do desenvolvimento de recursos

PREVALÊNCIA DA CÁRIE DENTÁRIA ENTRE ADOLESCENTES NO MUNICÍPIO DE CARUARU: RESULTADOS DO PROJETO DE EXTENSÃO GEPLAN BUCAL

A cárie dentária é uma doença multifatorial e infecciosa que produz  desmineralização das estruturas dentárias. Desde o século passado é vista como um dos principais problemas de saúde pública e o agravo da saúde bucal mais prevalente em crianças e adolescentes. Os levantamentos epidemiológicos são eficazes na obtenção de dados úteis sobre uma determinada população para se realizar o planejamento em saúde. O Projeto de Extensão Gestão, Epidemiologia e Planejamento em Saúde Bucal (GEPLAN BUCAL) realizou levantamento epidemiológico para estimar a prevalência da cárie dentária entre adolescentes do município de Caruaru, utilizando o indicador CPO-D. Identificou-se uma média baixa a muito baixa na prevalência da cárie dentária.  A relevância deste projeto está em estimar a frequência dos problemas de saúde bucal que afetam a população, ainda mais em adolescentes, já que estes possuem muitos fatores associados ao surgimento de doenças bucais. Aliando-se ao fato da existência de poucos estudos sobre o tema, servindo como mais uma fonte de informação acerca deste assunto

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Clonal chromosomal mosaicism and loss of chromosome Y in elderly men increase vulnerability for SARS-CoV-2

The pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2, COVID-19) had an estimated overall case fatality ratio of 1.38% (pre-vaccination), being 53% higher in males and increasing exponentially with age. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, we found 133 cases (1.42%) with detectable clonal mosaicism for chromosome alterations (mCA) and 226 males (5.08%) with acquired loss of chromosome Y (LOY). Individuals with clonal mosaic events (mCA and/or LOY) showed a 54% increase in the risk of COVID-19 lethality. LOY is associated with transcriptomic biomarkers of immune dysfunction, pro-coagulation activity and cardiovascular risk. Interferon-induced genes involved in the initial immune response to SARS-CoV-2 are also down-regulated in LOY. Thus, mCA and LOY underlie at least part of the sex-biased severity and mortality of COVID-19 in aging patients. Given its potential therapeutic and prognostic relevance, evaluation of clonal mosaicism should be implemented as biomarker of COVID-19 severity in elderly people. Among 9578 individuals diagnosed with COVID-19 in the SCOURGE study, individuals with clonal mosaic events (clonal mosaicism for chromosome alterations and/or loss of chromosome Y) showed an increased risk of COVID-19 lethality

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost