Search results

Filter

Filetype

Your search for "*" yielded 531890 hits

Diabetic retinopathy as a predictor for peripheral compression neuropathies, a registry-based study

Diabetes is characterized by hyperglycaemia and entails many complications, including retinopathy and entrapment neuropathies, such as ulnar nerve entrapment (UNE) and carpal tunnel syndrome (CTS). Hyperglycaemia damages the nerves of the retina, as well as peripheral nerves. There is a correlation between entrapment neuropathies and retinopathy in patients with diabetes, but whether patients with

General time-dependent configuration-interaction singles. I. Molecular case

We present a grid-based implementation of the time-dependent configuration-interaction singles method suitable for computing the strong-field ionization of small gas-phase molecules. After outlining the general equations of motion used in our treatment of this method, we present example calculations of strong-field ionization of He, LiH, H2O, and C2H4 that demonstrate the utility of our implementa

On the need to consider wood formation processes in global vegetation models and a suggested approach

Key message: Dynamic global vegetation models are key tools for interpreting and forecasting the responses of terrestrial ecosystems to climatic variation and other drivers. They estimate plant growth as the outcome of the supply of carbon through photosynthesis. However, growth is itself under direct control, and not simply controlled by the amount of available carbon. Therefore predictions by cu

Wood Formation Modeling : A Research Review and Future Perspectives

Wood formation has received considerable attention across various research fields as a key process to model. Historical and contemporary models of wood formation from various disciplines have encapsulated hypotheses such as the influence of external (e.g., climatic) or internal (e.g., hormonal) factors on the successive stages of wood cell differentiation. This review covers 17 wood formation mode

Prediction of lake water-level fluctuations using adaptive neuro-fuzzy inference system hybridized with metaheuristic optimization algorithms

Lakes help increase the sustainability of the natural environment and decrease food chain risk, agriculture, ecosystem services, and leisure recreational activities locally and globally. Reliable simulation of monthly lake water levels is still an ongoing demand for multiple environmental and hydro-informatics engineering applications. The current research aims to utilize newly developed hybrid da

THE USE OF META-ETHNOGRAPHY TO GUIDE IMPLEMENTATION STRATEGIES

BackgroundFor implementation of new assessment strategies, an evidence-informed approach is desired. Thus, the assessment methodshould be supported by current evidence, and similarly the implementation process could be informed through research.Implementation research can be done using various approaches and research methods. However, it seems that interviewstudies are an important source of infor

An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines

Automated detection of cell nuclei in fluorescence microscopy images is a key task in bioimage analysis. It is essential for most types of microscopy-based high-throughput drug and genomic screening and is often required in smaller scale experiments as well. To develop and evaluate algorithms and neural networks that perform instance or semantic segmentation for detecting nuclei, high quality anno

Re-evaluating Our Knowledge of Health System Resilience During COVID-19: Lessons From the First Two Years of the Pandemic

Background Health challenges like coronavirus disease 2019 (COVID-19) are becoming increasingly complex, transnational, and unpredictable. Studying health system responses to the COVID-19 pandemic is an opportunity to enhance our understanding of health system resilience and establish a clearer link between theoretical concepts and practical ideas on how to build resilience. Methods This narrative

Acceptance of COVID-19 Vaccine Booster Doses Using the Health Belief Model : A Cross-Sectional Study in Low-Middle- and High-Income Countries of the East Mediterranean Region

Coronavirus disease (COVID-19) booster doses decrease infection transmission and disease severity. This study aimed to assess the acceptance of COVID-19 vaccine booster doses in low, middle, and high-income countries of the East Mediterranean Region (EMR) and its determinants using the health belief model (HBM). In addition, we aimed to identify the causes of booster dose rejection and the main so

Tech-savvy men and caring women: Middle school students’ gender stereotypes predict interest in tech-education

The labor market is strongly gender segregated with few women working in the tech sector (e.g. IT) and few men working in the care sector (e.g. nursing). We tested the hypothesis that middle school students strongly associate technology with men and caregiving with women, and that this relates to girls’ lower interest in tech-focused educations. We measured technology/caregiving gender stereotypes

Barnens tid och framtid : En studie av den svenska asylbyråkratin efter 2015

Syftet med denna studie är att analysera asylbyråkratins tidssyn, tidsanvändning och tidsstyrning samt peka på konsekvenserna av detta för skyddssökande familjer och rätten till asyl: Hur används tid och vilka perspektiv på tid tonar fram i asylprövningen på Migrationsverket, den myndighet som genomför svensk asylpolitik? Hur fördelas makten över tiden, mellan myndigheter och domstolar som fattar Syftet med denna studie är att analysera asylbyråkratins tidssyn, tidsanvändning och tidsstyrning samt peka på konsekvenserna av detta för skyddssökande familjer och rätten till asyl: Hur används tid och vilka perspektiv på tid tonar fram i asylprövningen på Migrationsverket, den myndighet som genomför svensk asylpolitik? Hur fördelas makten över tiden, mellan myndigheter och domstolar som fattar

Improved Salinity Tolerance-Associated Variables Observed in EMS Mutagenized Wheat Lines

Salinity tolerance-associated phenotypes of 35 EMS mutagenized wheat lines originating from BARI Gom-25 were compared. Vegetative growth was measured using non-destructive image-based phenotyping. Five different NaCl concentrations (0 to 160 mM) were applied to plants 19 days after planting (DAP 19), and plants were imaged daily until DAP 38. Plant growth, water use, leaf Na+, K+ and Cl− content,

Introducing the Brassica Information Portal : Towards integrating genotypic and phenotypic Brassica crop data [version 2; peer review: 3 approved]

The Brassica Information Portal (BIP) is a centralised repository for brassica phenotypic data. The site hosts trait data associated with brassica research and breeding experiments conducted on brassica crops, that are used as oilseeds, vegetables, livestock forage and fodder and for biofuels. A key feature is the explicit management of meta-data describing the provenance and relationships between

Deep learning-based evaluation of normal bone marrow activity in 18F-NaF PET/CT in patients with prostate cancer

Purpose: Bone marrow is the primary site of skeletal metastases in prostate cancer. 18F-sodium fluoride (NaF) can be used to detect malignant activity, but also identifies irrelevant degenerative cortical uptake. Normal radiotracer activity in solely the marrow has yet to be described and could be a first step towards automated tumor burden calculation as SUV thresholds. We aimed to investigate no