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917, 0.964) value respectively as compared to female respondents. The aim of this study is to understand quality of sex life, sexual behavior, reproductive planning, mental health, physical health and adult coping during the COVID-19 pandemic, as well as how past experiences have affected. Many respondents had a broad variety of problems concerning their sexual and reproductive well being. Measures should be set in order to safeguard the mental and sexual health of people during the pandemic.This article assesses evidence of and challenges to the development of inclusive education in Portugal, which is built on three pillars access to, participation in, and achievement in education for all children and young people. It presents an overview of the present policy framework, followed by an analysis of available statistical data on Portuguese students with disabilities in mainstream schools. The article also discusses significant achievements at the policy and practice levels, namely the attempt to align curriculum and pedagogy and the presence of almost 100% of students with disabilities in mainstream schools. It also considers challenges, such as the issue of monitoring achievement (both at the student and system level) and investments in the system and in teacher education.The Covid-19 pandemic has caused havoc in the world, radically changing our lives and raising new and old questions, both existential and educational. selleck kinase inhibitor This pandemic has revealed the underbelly of South African society in general and its education system more specifically-it has laid bare the gross inequalities that are the legacies of apartheid and the consequences of neoliberal capitalism. Drawing on ideas articulated in the four introductory chapters of the International Handbook of Curriculum Research, edited by William Pinar in 2014, this article discusses Covid-19 and the prospects of education in South Africa. The article shows how understanding the wisdom of indigenous traditions along with the moral dimensions of education, race, and the new technologies of surveillance, neoliberalism, and education can provide a nuanced awareness of the nature of the Covid-19 pandemic. It then explores the implications of such insights for the field of curriculum studies and, where relevant, for the school curriculum. It concludes by showing how these broad themes intersect and gel around the notion of Ubuntu-currere.Various AI functionalities such as pattern recognition and prediction can effectively be used to diagnose (recognize) and predict coronavirus disease 2019 (COVID-19) infections and propose timely response (remedial action) to minimize the spread and impact of the virus. Motivated by this, an AI system based on deep meta learning has been proposed in this research to accelerate analysis of chest X-ray (CXR) images in automatic detection of COVID-19 cases. We present a synergistic approach to integrate contrastive learning with a fine-tuned pre-trained ConvNet encoder to capture unbiased feature representations and leverage a Siamese network for final classification of COVID-19 cases. We validate the effectiveness of our proposed model using two publicly available datasets comprising images from normal, COVID-19 and other pneumonia infected categories. Our model achieves 95.6% accuracy and AUC of 0.97 in diagnosing COVID-19 from CXR images even with a limited number of training samples.

The indications for experienced aggression and violence towards doctors in children’s hospitals are increasing and are the focus of this study. They are reported in contact with parents or relatives in emotionally highly charged situations caused by their child’s illness. This empirical study investigated the extent to which experienced aggressive and violent behavior has been received by pediatricians in their everyday work in hospitals.

Data from two previously unpublished nationwide surveys in 2009 (

 = 160) and 2017 (

 = 190) were analyzed. Using the same questionnaire, the forms of aggressive action, such as exerting pressure, insulting, threatening physical violence, attempting to use violence and actually using violence as well as the descriptions of the associated situations were questioned. The wording of the insults and the type of threat could be specified via open questions.

Approximately four out of five respondents said they have been the target of an aggressive action by parents or relatives. In 2017 approximately 3 out of 4 respondents (71.0%) considered the problem of aggressive behavior to be relevant to their everyday work compared to only every second respondent (51.9%) in 2009. Individual respondents reported up to 60 situations, in both survey waves at a median of 4.0times per year.

Experienced aggression and violence are often and increasingly part of everyday clinical life in the pediatric wards, ranging from insults to physical violence. Prevention strategies, such as preventive training for communication and de-escalation are explicitly desired.

Experienced aggression and violence are often and increasingly part of everyday clinical life in the pediatric wards, ranging from insults to physical violence. Prevention strategies, such as preventive training for communication and de-escalation are explicitly desired.Systems composed of soft matter (e.g., liquids, polymers, foams, gels, colloids, and most biological materials) are ubiquitous in science and engineering, but molecular simulations of such systems pose particular computational challenges, requiring time and/or ensemble-averaged data to be collected over long simulation trajectories for property evaluation. Performing a molecular simulation of a soft matter system involves multiple steps, which have traditionally been performed by researchers in a “bespoke” fashion, resulting in many published soft matter simulations not being reproducible based on the information provided in the publications. To address the issue of reproducibility and to provide tools for computational screening, we have been developing the open-source Molecular Simulation and Design Framework (MoSDeF) software suite. In this paper, we propose a set of principles to create Transparent, Reproducible, Usable by others, and Extensible (TRUE) molecular simulations. MoSDeF facilitates the publication and dissemination of TRUE simulations by automating many of the critical steps in molecular simulation, thus enhancing their reproducibility.