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e IMPLICATIONS FOR PRACTICE The MOC Scale can be used as a tool in clinical practice, to assess and foster effective collaboration between obstetricians and midwives from an obstetricians' perspective especially when used in conjunction with other tools that take into the account the perspectives of midwives and childbearing women.

The MOC Scale is validated to assess collaboration between obstetricians and midwives on labor and birth units from an obstetrician's perspective IMPLICATIONS FOR PRACTICE The MOC Scale can be used as a tool in clinical practice, to assess and foster effective collaboration between obstetricians and midwives from an obstetricians' perspective especially when used in conjunction with other tools that take into the account the perspectives of midwives and childbearing women.Nano- and microemulsions have found various applications in pharmaceutical and medical areas both in research field as well as in applied solutions for drug delivery or diagnostic agents. However, production of stable and bio- / hemocompatible nanoemulsions are still challenging. New group of ionic surfactants have been synthesized with perfluorohexyl- or perfluorooctyl-groups as hydrophobic tail. The CMC and the parametres of the O/W emulsion (the particle size distribution and the zeta-potential) were determined. The influence of the surfactants on in vitro proliferation of human endothelial cell lines HMEC-1, murine fibroblasts L929 and hemolysis were investigated as characteristic for biocompatibility. Three candidates of surfactants were selected for pre-clinical tests on a small animal model (adult Sprague Dawley rats) on the basis of preliminary studies. This allowed to obtain nanoemulsions with narrow droplets size (average droplet diameter 141-147 nm with PDI index 0.059 - 0.065) and showed better stability over time in comparison to the commercially available surfactants. Neither cytotoxic nor hemolytic potential were observed during incubation of obtained fluorosurfactans with model cell lines L929 and HMEC-1 (average cell viability above 85 % after incubation with 1% solutions) and erythrocytes (hemolysis rate below 3.1 % for all 0.5 % solutions). During acute toxicity test on rat model, it was found that all three tested surfactant solutions showed no significant differences in controlled parameters and survival rate with control group (p > 0.05). Presented surfactants are dedicated but not limited to emulsification of organic fluorocompounds.

To gain insight into epilepsy care during coronavirus disease (COVID-19) pandemic, we analyzed prescription data of a large cohort of persons with epilepsy (PWE) during lockdown in Germany.

Information was obtained from the Disease Analyzer database, which collects anonymous demographic and medical data from practice computer systems of general practitioners (GP) and neurologists (NL) throughout Germany. We retrospectively compared prescription data for anti-seizure medication (ASM) and physicians' notes of "known" and "new" PWE from January 2020 until May 2020 with the corresponding months in the three preceding years 2017-2019. Adherence was estimated by calculating the proportion of patients with follow-up prescriptions within 90 days after initial prescriptions in January or February. We additionally analyzed hospital referrals of PWE. Danicamtiv cell line The significance level was set to 0.01 to adjust for multiple comparisons.

A total of 52,844 PWE were included. Anti-seizure medication prescriptions for known PWE inas well as fewer hospital admissions. These elements may warrant consideration during future lockdown situations.

To investigate the effect of a task rotation schedule on musculoskeletal injury and the challenges of implementing a task rotation schedule within an underground coal mine.

This was a pre-post cross-sectional intervention study with two underground coal mines. Participant-surveys were collected at baseline and 12-months.

There were no significant differences in musculoskeletal discomfort between the two sites in any body region. Tasks were rotated two to three times a shift on average.

The task rotation schedule did not have a significant impact upon musculoskeletal discomfort although this does not necessarily reflect that the rotation schedule was in-effective in curbing injury, rather highlights the complexity of developing a successful task rotation schedule within an underground coal mine. The task rotation schedule, its implementation and execution need consideration and further investigation to assist in effectively controlling injury and fatigue risk.

The task rotation schedule did not have a significant impact upon musculoskeletal discomfort although this does not necessarily reflect that the rotation schedule was in-effective in curbing injury, rather highlights the complexity of developing a successful task rotation schedule within an underground coal mine. The task rotation schedule, its implementation and execution need consideration and further investigation to assist in effectively controlling injury and fatigue risk.Gap-filling eddy covariance flux data using quantitative approaches has increased over the past decade. Numerous methods have been proposed previously, including look-up table approaches, parametric methods, process-based models, and machine learning. Particularly, the REddyProc package from the Max Planck Institute for Biogeochemistry and ONEFlux package from AmeriFlux have been widely used in many studies. However, there is no consensus regarding the optimal model and feature selection method that could be used for predicting different flux targets (Net Ecosystem Exchange, NEE; or Evapotranspiration -ET), due to the limited systematic comparative research based on the identical site-data. Here, we compared NEE and ET gap-filling/prediction performance of the least-square-based linear model, artificial neural network, random forest (RF), and support vector machine (SVM) using data obtained from four major row-crop and forage agroecosystems located in the subtropical or the climate-transition zones in the US.was greatly affected by the types of ecosystem, predicting targets, and training algorithms; but was insensitive towards training-testing partitioning. Our research provided more insights into constructing novel gap-filling models and understanding the underlying drivers affecting boundary layer carbon/water fluxes on an ecosystem level.