Open Access

Background: Depletion of ovarian hormone in postmenopausal women has been associated with changes in the locomotor apparatus that may compromise walking function including muscle atrophy/weakness, weight gain, and bone demineralization. Therefore, handgrip strength (HGS), bone mineral density (BMD) and body composition [percentage body fat mass (%BFM), fat mass (FM), Fat-free mass (FFM) and body mass index (BMI)], may significantly vary and predict WB in postmenopausal women. Consequently, the study sought to 1. Explore body composition, BMD and muscle strength differences between premenopausal and postmenopausal women and 2. Explore how these variables [I.e., body composition, BMD and muscle strength] relate to WB in postmenopausal women. Method: Fifty-one pre-menopausal (35.74 + 1.52) and 50 postmenopausal (53.32 + 2.28) women were selected by convenience sampling and studied. Six explanatory variables (HGS, BMD, %BFM, FFM, BMI and FM) were explored to predict WB in postmenopausal women: Data collected were analyzed using multiple linear regression, ANCOVA, independent t-test and Pearson correlation coefficient at p < 0.05. Result: Postmenopausal women had higher BMI(t = + 1.72; p = 0.04), %BFM(t = + 2.77; p = .003), FM(t = + 1.77; p = 0.04) and lower HGS(t = − 3.05; p = 0.001),compared to the premenopausal women. The predicted main effect of age on HGS was not significant, F(1, 197) = 0.03, p = 0.06, likewise the interaction between age and %BFM, F(1, 197) = 0.02, p = 0.89; unlike the predicted main effect of %BFM, F(1, 197) = 10.34, p = .002, on HGS. HGS was the highest predictor of WB (t = 2.203; β=0.3046) in postmenopausal women and combined with T-score right big toe (Tscorert) to produce R2 = 0.11;F (2, 47)=4.11;p = 0.02 as the best fit for the predictive model. The variance (R2) change was significant from HGS model (R2 = 0.09;p = 0.03) to HGS + Tscorert model (R2 = 0.11;p = 0.02). The regression model equation was therefore given as: WB =5.4805 + 0.1578(HGS) + (− 1.3532) Tscorert. Conclusion: There are differences in body composition suggesting re-compartmentalization of the body, which may adversely impact the (HGS) muscle strength in postmenopausal women. Muscle strength and BMD areassociated with WB, although, only contribute to a marginal amount of the variance for WB. Therefore, other factors in addition to musculoskeletal health are necessary to mitigate fall risk in postmenopausal women.

Scientific papers from all disciplines contain many abbreviations and acronyms. In many cases these acronyms are ambiguous. We present a method to choose the contextual correct definition of an acronym that does not require training for each acronym and thus can be applied to a large number of different acronyms with only few instances. We constructed a set of 19,954 examples of 4,365 ambiguous acronyms from image captions in scientific papers along with their contextually correct definition from different domains. We learn word embeddings for all words in the corpus and compare the averaged context vector of the words in the expansion of an acronym with the weighted average vector of the words in the context of the acronym. We show that this method clearly outperforms (classical) cosine similarity. Furthermore, we show that word embeddings learned from a 1 billion word corpus of scientific exts outperform word embeddings learned from much larger general corpora.

BACKGROUND: Safety climate research suggests that a corresponding climate in work units is crucial for patient safety. Intensive care units are usually co-led by a nurse and a physician, who are responsible for aligning an interprofessional workforce and warrant a high level of safety. Yet, little is known about whether and how these interprofessional co-leaders jointly affect their unit's safety climate. PURPOSE: This empirical study aims to explain differences in the units' safety climate as an outcome of the nurse and physician leaders' degree of shared goals. Specifically, we examine whether the degree to which co-leaders share goals in general fosters a safety climate by pronouncing norms of interprofessional cooperation as a behavioral standard for the team members' interactions. METHODOLOGY/APPROACH: A cross-sectional design was used to gather data from 70 neonatal intensive care units (NICUs) in Germany. Survey data for our variables were collected from the unit's leading nurse and the leading physician, as well as from the unit's nursing and physician team members. Hypotheses testing at unit level was conducted using multivariate linear regression. RESULTS: Our analyses show that the extent to which nurse-physician co-leaders share goals covaries with safety climate in NICUs. This relationship is partially mediated by norms of interprofessional cooperation among NICU team members. Our final model accounts for 54% of the variability in safety climate of NICUs. CONCLUSION: Increasing the extent to which co-leaders share goals is an effective lever to strengthen interprofessional cooperation and foster a safety climate among nursing and physician team members of hospital units.

The reuse of scientific raw data is a key demand of Open Science. In the project NOA we foster reuse of scientific images by collecting and uploading them to Wikimedia Commons. In this paper we present a text-based annotation method that proposes Wikipedia categories for open access images. The assigned categories can be used for image retrieval or to upload images to Wikimedia Commons. The annotation basically consists of two phases: extracting salient keywords and mapping these keywords to categories. The results are evaluated on a small record of open access images that were manually annotated.

Viele Unternehmen experimentieren mit Agilität. Gleichzeitig ist die Unsicherheit groß, wieviel Agilität ein QM-System nach ISO 9001 tatsächlich verträgt. Ein gemeinsames Forschungsprojekt der Hochschule Hannover und der DGQ hat sich zum Ziel gesetzt, hier mehr Sicherheit zu geben. Aus Interviews mit Vertretern von Unternehmen, welche teilweise agil arbeiten, entstand erstmals eine klare Definition von Agilität, agilen Praktiken und agilen Prozessen im Organisationskontext. Die daraus entwickelten Leitlinien für die Integration von agilen Vorgehensweisen in QM-Systeme beweisen schlüssig, dass agile Prozesse grundsätzlich nach den ISO 9001-Kriterien zertifizierungsfähig ausgestaltet werden können.