Albrektsenhays2686

is mandatory.

To improve the acceptance and compliance of treatment of amblyopia, the aim of this study was to show that it is feasible to design an electronic frame for context-sensitive liquid crystal glasses, which can measure the state of wear position in a robust manner and detect distinct motion patterns for activity recognition.

Different temple designs with integrated temperature and capacitive sensors were developed to realize the detection of the state of wear position to distinguish three states (correct position/wrong position/glasses taken off). The electronic glasses frame was further designed as a tool for accelerometer data acquisition, which was used for algorithm development for activity classification. For this purpose, training data of 20 voluntary healthy adult subjects (5 females, 15 males) were recorded and a 10-fold cross-validation was computed for classifier selection. In order to perform functional testing of the electronic glasses frame, a proof of concept study was performed in a small grou a smart glasses concept.

Malaria in pregnancy is associated with adverse perinatal outcomes. The objective was to compare outcomes of simple and severe malaria and to determine whether they vary by trimester or severity of infection.

Prospective cohort study performed in 3 hospitals in Rwanda. Both hospitalized and non-hospitalized pregnant patients with confirmed malaria were enrolled and followed until 7 days postpartum. Demographic, clinical manifestations and perinatal outcomes were recorded.

There were 446 pregnant women with confirmed malaria and outcome data; 361 (80.9%) had simple malaria. Severe malaria was more common as pregnancy progressed; out of 85 with severe malaria, 12.9%, 29.4% and 57.6% were in the 1st, 2nd and 3rd trimesters (p<0.0001). Overall, a normal term delivery occurred in 57.6%, with preterm delivery in 24.9% and abortion in 13.5%. Adverse perinatal outcomes increased with trimester of infection (p<0.0001). Eight of the 9 early neonatal deaths had 3rd trimester infection (p<0.0001). There were 27 stillbirths; 63.7% were associated with 3rd trimester infection. A significant difference in perinatal outcomes between simple and severe malaria was seen 64% of women with simple malaria had a normal term delivery as compared to 30.6% with severe malaria (p<0.0001). learn more All complications were significantly greater with severe malaria.

Overall poor outcomes are seen in malaria with significant differences in perinatal outcomes between simple and severe malaria and by trimester of infection. In addition to vector control and exposure prevention, efforts need to be made in screening, treatment education and monitoring pregnancies affected by malaria.

Overall poor outcomes are seen in malaria with significant differences in perinatal outcomes between simple and severe malaria and by trimester of infection. In addition to vector control and exposure prevention, efforts need to be made in screening, treatment education and monitoring pregnancies affected by malaria.Language is a result of brain function; thus, impairment in cognitive function can result in language disorders. Understanding the aging of brain functions in terms of language processing is crucial for modern aging societies. Previous studies have shown that language characteristics, such as verbal fluency, are associated with cognitive functions. However, the scaling laws in language in elderly people remain poorly understood. In the current study, we recorded large-scale data of one million words from group conversations among healthy elderly people and analyzed the relationship between spoken language and cognitive functions in terms of scaling laws, namely, Zipf's law and Heaps' law. We found that word patterns followed these scaling laws irrespective of cognitive function, and that the variations in Heaps' exponents were associated with cognitive function. Moreover, variations in Heaps' exponents were associated with the ratio of new words taken from the other participants' speech. These results indicate that the exponents of scaling laws in language are related to cognitive processes.

The COVID-19 pandemic induces considerable strain on intensive care unit resources.

We aim to provide early predictions of individual patients' intensive care unit length of stay, which might improve resource allocation and patient care during the on-going pandemic.

We developed a new semiparametric distributional index model depending on covariates which are available within 24h after intensive care unit admission. The model was trained on a large cohort of acute respiratory distress syndrome patients out of the Minimal Dataset of the Swiss Society of Intensive Care Medicine. Then, we predict individual length of stay of patients in the RISC-19-ICU registry.

The RISC-19-ICU Investigators for Switzerland collected data of 557 critically ill patients with COVID-19.

The model gives probabilistically and marginally calibrated predictions which are more informative than the empirical length of stay distribution of the training data. However, marginal calibration was worse after approximately 20 days in the whole cohort and in different subgroups. Long staying COVID-19 patients have shorter length of stay than regular acute respiratory distress syndrome patients. We found differences in LoS with respect to age categories and gender but not in regions of Switzerland with different stress of intensive care unit resources.

A new probabilistic model permits calibrated and informative probabilistic prediction of LoS of individual patients with COVID-19. Long staying patients could be discovered early. The model may be the basis to simulate stochastic models for bed occupation in intensive care units under different casemix scenarios.

A new probabilistic model permits calibrated and informative probabilistic prediction of LoS of individual patients with COVID-19. Long staying patients could be discovered early. The model may be the basis to simulate stochastic models for bed occupation in intensive care units under different casemix scenarios.