Cognitive emotions in e-learning processes and their potential relationship with students’ academic adjustment

In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic achievement. To this end, ‘cognitive emotions’, elicited to acquire or develop new skills/knowledges, can play a crucial role as they indicate the state or the “flow” of a student’s emotions, when facing challenging tasks. Within innovative teaching models, measuring the affective components of learning have been mainly based on self-reports and scales which have neglected the real-time detection of emotions, through for example, recording or measuring facial expressions. The aim of the present study is to test the reliability of an ad hoc software trained to detect and classify cognitive emotions from facial expressions across two different environments, namely a video-lecture and a chat with teacher, and to explore cognitive emotions in relation to academic e-selfefficacy and academic adjustment. To pursue these goals, we used video-recordings of ten psychology students from an online university engaging in online learning tasks, and employed software to automatically detect eleven cognitive emotions. Preliminary results support and extend prior studies, illustrating how exploring cognitive emotions in real time can inform the development and success of academic e-learning interventions aimed at monitoring and promoting students’ wellbeing.peer-reviewe

Neurologic and Psychiatric Manifestations of Bradykinin-Mediated Angioedema: Old and New Challenges

Neurologic manifestations have been occasionally described in patients with bradykinin-mediated angioedema. The existing literature is currently limited to case series and case reports mainly described in the hereditary forms (HAE) concerning central nervous system (CNS) involvement. On the contrary, very little is known about peripheral and autonomic nervous system manifestations. CNS involvement in HAE may present with symptoms including severe headaches, visual disturbance, seizures, and various focal and generalized deficits. In addition, a stroke-like clinical picture may present in HAE patients. In turn, some drugs used in patients with cardiovascular and neurologic disorders, such as recombinant tissue plasminogen activator (r-tPA) and angiotensin-converting enzyme inhibitors (ACEI), may produce medication-induced angioedema, resulting in a diagnostic challenge. Finally, most patients with HAE have higher levels of psychological distress, anxiety, and depression. With this review, we aimed to provide an organized and detailed analysis of the existing literature on neurologic and psychiatric manifestations of HAE to shed light on these potentially invalidating symptoms and lay the foundation for further personalized diagnostic pathways for patients affected by this protean disease

Community engagement in maternal and perinatal death surveillance and response (MPDSR): Realist review protocol

BACKGROUND: While there has been a decline in maternal and perinatal mortality, deaths remain high in sub-Saharan Africa and Asia. With the sustainable development goals (SDGs) targets to reduce maternal and perinatal mortality, more needs to be done to accelerate progress and improve survival. Maternal and perinatal death surveillance and response (MPDSR) is a strategy to identify the clinical and social circumstances that contribute to maternal and perinatal deaths. Through MPDSR, an active surveillance and response cycle is established by bringing together different stakeholders to review and address these social and clinical factors. Community engagement in MPDSR provides a strong basis for collective action to address social factors and quality of care issues that contribute to maternal and perinatal deaths. Studies have shown that community members can support identification and reporting of maternal and/or perinatal deaths. Skilled care at birth has been increasing globally, but there are still gaps in quality of care. Through MPDSR, community members can collaborate with health workers to improve quality of care. But we do not know how community engagement in MPDSR works in practice; for whom it works and what aspects work (or do not work) and why. This realist review answers the question: which strategies of community engagement in MPDSR produce which outcomes in which contexts? METHODS: For this realist review, we will identify published and grey literature by searching relevant databases for articles. We will include papers published from 2004 in all languages and from all countries. We have set up an advisory group drawn from academia, international organizations, and practitioners of both MPDSR and community engagement to guide the process. CONCLUSION: This protocol and the subsequent realist review will use theoretical approaches from the community engagement literature to generate theory on community engagement in MPDSR. Prospero registration number:  CRD4202234521

Sexual violence and eclampsia: analysis of data from Demographic and Health Surveys from seven low- and middle-income countries.

BACKGROUND: Scientific literature has provided clear evidence of the profound impact of sexual violence on women's health, such as somatic disorders and mental adverse outcomes. However, consequences related to obstetric complications are not yet completely clarified. This study aimed to assess the association of lifetime exposure to intimate partner sexual violence with eclampsia. METHODS: We considered all the seven Demographic and Health Surveys (DHS) that included data on sexual violence and on signs and symptoms suggestive of eclampsia for women of reproductive age (15-49 years). We computed unadjusted and adjusted odds ratios (OR) to evaluate the risk of suggestive eclampsia by ever subjected to sexual violence. A sensitivity analysis was conducted restricting the study population to women who had their last live birth over the 12 months before the interview. RESULTS: Self-reported experience of sexual violence ranged from 3.7% in Mali to 9.2% in India while prevalence of women reporting signs and symptoms compatible with eclampsia ranged from 14.3% in Afghanistan to 0.7% in the Philippines. Reported sexual violence was associated with a 2-fold increased odd of signs and symptoms suggestive of eclampsia in the pooled analysis. The sensitivity analysis confirmed the strength of the association between sexual violence and eclampsia in Afghanistan and in India. CONCLUSIONS: Women and girls in low-and-middle-income countries are at high risk of sexual violence, which may represent a risk factor for hypertensive obstetric complication. Accurate counseling by health care providers during antenatal care consultations may represent an important opportunity to prevent adverse outcomes during pregnancy

Availability of priority maternal and newborn health indicators: Cross-sectional analysis of pregnancy, childbirth and postnatal care registers from 21 countries.

Data from national health information systems are essential for routinely tracking progress, programmatic decision-making and to improve quality of services. Understanding the data elements captured in patient registers which are building blocks of national HMIS indicators, enables us to standardize data collection and measurement of key indicators for tracking progress towards achieving maternal and newborn health goals. This analysis was done through a review of antenatal care (ANC), childbirth and postnatal care (PNC) registers from 21 countries across five geographic regions. Between July and October 2020, country-based maternal and newborn experts, implementing agencies, program managers, and ministry of health personnel were asked to share the registers in use. Both paper-based and electronic registers were obtained. Twenty ANC registers, eighteen childbirth and thirteen PNC were available and analyzed. Both longitudinal and cross-sectional ANC and PNC registers were obtained, while the childbirth registers included in the analysis were all cross-sectional. Fifty-five percent (11/20) ANC registers and 54% (7/13) PNC registers were longitudinal. In four countries, the registers were electronic, while the rest were paper-based (17 countries). Sub-analysis of registers from four countries (Ghana, Kenya, Nigeria, and Zambia) where the 2017/2018 and 2019/2020 registers were available showed that the latest versions included 21/27 (78%) of data elements that are critical in the computation of key maternal and newborn care indicators. This analysis highlights some areas in where there are data gaps in data on pregnancy and childbirth. Program managers and health workers should use data gathered routinely to monitor the performance of their national health system and to guide the continuous improvement of health care services for women and newborns. The findings can help to inform the standardization of pregnancy and childbirth registers, and provide information for other countries seeking to introduce indicators in their health systems

The Italian health system and the COVID-19 challenge

The article illustrates the response of the Italian Health System to the COvid-19 epidemic challeng

COVID-19: universal health coverage now more than ever

The viewpoint emphasizes the importance of UHC during a pandemic. It examines the respones of the Italian National Health Service to the Covid-19 epidemi

COVID-19: leave no healthcare worker behind

The article comments on guarantees of perosna protection granted to Italian health workers during the Covid-19 epidemi

Assessing student engagement from facial behavior in on-line learning

The automatic monitoring and assessment of the engagement level of learners in distance education may help in understanding problems and providing personalized support during the learning process. This article presents a research aiming to investigate how student engagement level can be assessed from facial behavior and proposes a model based on Long Short-Term Memory (LSTM) networks to predict the level of engagement from facial action units, gaze, and head poses. The dataset used to learn the model is the one of the EmotiW 2019 challenge datasets. In order to test its performance in learning contexts, an experiment, involving students attending an online lecture, was performed. The aim of the study was to compare the self-evaluation of the engagement perceived by the students with the one assessed by the model. During the experiment we collected videos of students behavior and, at the end of each session, we asked students to answer a questionnaire for assessing their perceived engagement. Then, the collected videos were analyzed automatically with a software that implements the model and provides an interface for the visual analysis of the model outcome. Results show that, globally, engagement prediction from students’ facial behavior was weakly correlated to their subjective answers. However, when considering only the emotional dimension of engagement, this correlation is stronger and the analysis of facial action units and head pose (facial movements) are positively correlated with it, while there is an inverse correlation with the gaze, meaning that the more the student’s feels engaged the less are the gaze movements