14234 research outputs found
Sort by
Stalled in the process to a transition: Implementation of differentiation in the school from the perspective of teachers
No full textDifferentiation is rarely investigated from a system perspective, while we need this to support teachers’ engagement in differentiated instruction and foster students’ learning. We interviewed teachers and interpreted their perspectives with the Implementation Science Framework and Complexity Leadership Theory. Teachers described many types of complex leadership, more absent than present implementation drivers, and many interactions between leadership and implementation drivers. Furthermore, teachers expressed constraints to and a couple of seized opportunities for differentiation. We conclude that the schools of this study’s teachers are stalled in the process to a transition to implementing differentiation, and offer suggestions for breaking that stall
ASSISTÊNCIA DE ENFERMAGEM PERIOPERATÓRIA EM CIRURGIA MAMÁRIA MASCULINA NO CÂNCER DE MAMA: REVISÃO DE ESCOPO
No full textThis is a project to a Scoping Review about nursing care in male breast cancer, focused on perioperative nursing care. The Joanna Briggs Institute (JBI) recomendations will be strictly followed and the result report will be perform according The PRISMA Checklis for Scoping Reviews (PRISMA - ScR).
The result will be published on an open acess journal
Intersectional Risks and Adverse Drug Events in Older Adults: A Scoping Review
No full textThis scoping review aims to map and synthesise the literature on how sociodemographic and health-related factors such as gender, ethnicity, socioeconomic status, and comorbidities influence the prevalence and outcomes of adverse drug events (ADEs) in community-dwelling adults aged 65 and older
AI-Based prediction of depression symptomatology in first episode psychosis patients: insights from the EUFEST and RAISE-ETP clinical trials
No full textThis registration outlines a study that aims to develop machine learning models that predict depression symtomatology in first episode psychosis (FEP) patients using data from two multi-site clinical trials, the European First Episode Schizophrenia Trial (EUFEST) and the Recovery After an Initial Schizophrenia Episode early treatment program (RAISE-ETP).
The study will focus on incorporating clinical, cognitive, sociodemographic, quality of life and general health variables to train and test support vector machine classifiers and regressors in predicting depression symptomatology change based on the Calgary Depression Scale for Schizophrenia (CDSS), administered at baseline and several follow ups in both clinical trials.
The primary objective of the study is to assess the predictive accuracy of these models for early detection of depression symptom progression in FEP patients undergoing antipsychotic treatment. Additionally, we will aim to predict post-schizophrenic depression epidodes using the same baseline data. Secondary objectives include identifying key predictors of future depression symptomatology and evaluating the clinical utility of the models in predicting depression symptomatology and providing tailored treatment plans
Viral Misbeliefs: Crafting a Social Media Toolkit to Explore How Emotions Influence the Acceptance of Misinformation
No full textThis project aims to develop and norm a social media (meme) stimulus set designed to investigate how emotional responses influence the acceptance and retention of misinformation. The stimulus set will provide researchers with a rigorously tested toolkit for future studies exploring how different emotional reactions—such as emotional arousal, emotional valence, humor, or degree of believability—may shape belief persistence and decision-making in the face of misinformation. While this project does not directly examine the continued influence of misinformation effect (for CIEM studies see Lewandowsky et al., 2012; Johnson & Seifert, 1994; Marsh et al., 2003; Schwarz et al., 2016), it serves as a foundational resource to support future research on how emotionally charged social media content might contribute to the persistence of misinformation, even after corrective information is introduced. This work will ultimately enhance our understanding of the mechanisms through which emotions on social media platforms affect users' susceptibility to misinformation, providing a basis for interventions aimed at mitigating its lasting influence
Norms 7575-564-84
No full textThe main hypothesis is that a greater number of normative standards to achieve (i.e., greater breadth of evaluation criteria) will lead to more micromanagement. Specifically, we hypothesize that supervisors trying to meet more normative standards will be more likely to micromanage their employees
