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Background: In healthy pregnancies, components of the Renin-Angiotensin system (RAS) are present in the placental villi and contribute to invasion, migration, and angiogenesis. At the same time, soluble fms-like tyrosine kinase 1 (sFlt-1) production is induced after binding of ANG-II to its receptor (AT-1R) in response to hypoxia. As RAS plays an essential role in the pathogenesis of COVID-19, we hypothesized that angiogenic marker (sFlt-1) and RAS components (ANG-II and ACE-2) may be related to adverse outcomes in pregnant women with COVID-19; Methods: Prospective cohort study. Primary outcome was severe pneumonia. Secondary outcomes were ICU admission, intubation, sepsis, and death. Spearman’s Rho test was used to analyze the correlation between sFlt-1 and ANG-II levels. The sFlt-1/ANG-II ratio was determined and the association with each adverse outcome was explored by logistic regression analysis and the prediction was assessed using receiver-operating-curve (ROC); Results: Among 80 pregnant women with COVID-19, the sFlt-1/ANG-II ratio was associated with an increased probability of severe pneumonia (odds ratio [OR]: 1.31; p = 0.003), ICU admission (OR: 1.05; p = 0.007); intubation (OR: 1.09; p = 0.008); sepsis (OR: 1.04; p = 0.008); and death (OR: 1.04; p = 0.018); Conclusion: sFlt-1/ANG-II ratio is a good predictor of adverse events such as pneumonia, ICU admission, intubation, sepsis, and death in pregnant women with COVID-19.

Clinical manifestations of coronavirus disease 2019 (COVID-19) in pregnant women are diverse, and little is known of the impact of the disease on placental physiology. Severe acute respiratory syndrome coronavirus (SARS-CoV-2) has been detected in the human placenta, and its binding receptor ACE2 is present in a variety of placental cells, including endothelium. Here, we analyze the impact of COVID-19 in placental endothelium, studying by immunofluorescence the expression of von Willebrand factor (vWf), claudin-5, and vascular endothelial (VE) cadherin in the decidua and chorionic villi of placentas from women with mild and severe COVID-19 in comparison to healthy controls. Our results indicate that: (1) vWf expression increases in the endothelium of decidua and chorionic villi of placentas derived from women with COVID-19, being higher in severe cases; (2) Claudin-5 and VE-cadherin expression decrease in the decidua and chorionic villus of placentas from women with severe COVID-19 but not in those with mild disease. Placental histological analysis reveals thrombosis, infarcts, and vascular wall remodeling, confirming the deleterious effect of COVID-19 on placental vessels. Together, these results suggest that placentas from women with COVID-19 have a condition of leaky endothelium and thrombosis, which is sensitive to disease severity.

People who have dementia (PwD) experience deteriorating executive functions, in particular their working memory, and therefore find it hard to complete multistep tasks or activities of daily living. There is no doubt that during the pandemic, PwD and their caregivers were particularly vulnerable, often isolated which affected their mental and physical health. Their ability to live independently was hampered, fomenting depression in the PwD and burnout on informal caregivers. Information technology can support dementia care improving the quality of life of PwD and easing the burden on caregivers. There is an increasing demand to support informal caregivers and improve their well-being by making dementia challenges less severe. This study uses qualitative techniques to design a model with technological strategies based on semi-structured interviews applied to seven informal caregivers from two different countries. Based on these interviews we developed design insights for implementing solutions to help informal caregivers take care of their PwD at home using conversational agents. We hope that the findings presented in this study will help researchers, and developers design solutions that can support PwD and informal caregivers.

The Autistic Spectrum Disorder is a cognitive disorder that affects the cognitive and motor skills; due that, users cannot perform digital and fine motor tasks. It is necessary to create software applications that adapt to the abilities of these users. In recent years has been an increase in the research of the use of technology to support autistic users to develop their communication skills and to improve learning. However, the applications’ usability for disable users is not assessed objectively as the existing models do not consider interaction operators for disable users. This article focuses on identifying the operations that can easily be performed by autistic users following the metrics of KML-GOMS, TLM and FLM. In addition, users of typical development were included in order to do a comparison between both types of users. The experiment was carried out using four applications designed for autistic users. Participants were subjects divided in two groups: level 1 and level 2 autistic users, and a group of users of typical development. During the experimentation, users performed a use case for each application; the time needed to perform each task was measured. Results show that the easiest operations for autistic users are K (Keystroke), D (Drag), Initial Act (I) and Tapping (T).

Scrum is one of many agile frameworks and is considered the most popular and widely adopted. Although Scrum presents several advantages, process and final product quality continue to be Scrum’s main challenges. The quality assessment should be an essential activity in the software development process. Several authors have attempted to improve the quality of Scrum projects, changing some aspects of the framework, such as including new quality practices, a quality role, and quality processes. However, the quantification of quality is still a challenge. For that reason, the authors proposed a framework called Scrumlity, which was defined in a previous study. This framework proposes a change to Scrum, including a quality role and some artifacts to evaluate quality through a complete execution of a Sprint. In this study, the authors add a User Story Quality assessment to the framework. The User Story Quality Assessment includes over 250 analyzed User Stories. Results obtained after this experiment indicate the importance of executing a User Story Quality Assessment and that Scrum Team members are willing to accept adding this to the framework.

In recent years, the development of mobile applications for people within the autism spectrum has proliferated to help enhance skills that could be diminished in users with this condition. However, the usability of these applications does not appear to be the focus of development because users with autism can have difficulty with fine motor skills. This article focuses on evaluating the optimal drag distance and the sizes of the interaction elements for users with Autism Spectrum Disorder. To accomplish this goal, a case study was conducted that involved 20 users with Autism Spectrum Disorder and 30 users with typical development, using a prototype generated and two applications for commercial use on 7-in. tablets. For both developed applications, a slight variation can be observed between the different groups of participants. In the interaction with Proyect@ Habilidades, the application has pictograms of 65 pixels and it has a maximum trailing distance of 340 pixels. Moreover, in Proyect@ Retratos, where there is a minimum deviation between users with levels of autism 1 and 2, it also has pictograms of 65 pixels but with a drag distance of 110 pixels. For this reason, according to the results, we suggest that in order to obtain better results in the interaction with applications aimed at users diagnosed with autism spectrum disorders, the applications should have pictograms of a range of 65 pixels with a drag interaction between 110 and 340 pixels. Considering in context a 7-in. tablet with a resolution of 1280 × 800 pixels.