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Mellan prat, beslut och handling: om jämställdhetsintegrering i kommunal verksamhet

InledningSverige lyfts ofta fram som ett av världens mest jämställda länder, samtidigt som forskning visar att det finns betydande skillnader mellan mäns och kvinnors livsvillkor. Sedan mitten av 1990-talet har jämställdhetsintegrering varit den rådande strategin inom svenska myndigheter och svensk förvaltning för att öka jämställdheten i samhället. Förenklat innebär detta att ett jämställdhetsper

Analysis of modulations of mental fatigue on intra-individual variability from single-trial event related potentials

Background: Intra-individual variability (IIV), a measure of variance within an individual's performance, has been demonstrated as metrics of brain responses for neural functionality. However, how mental fatigue modulates IIV remains unclear. Consequently, the development of robust mental fatigue detection methods at the single-trial level is challenging. New methods: Based on a long-duration flan

Mapping civil society elites: multi‑dimensional measure of resource stratifcation in civil society (MMRSC)

This paper presents a novel methodological approach, multi-dimensional measure of resource stratifcation in civil society (MMRSC). The method aims at mapping civil society organisations based on diferent types of resources for studying resource stratifcation in civil society. The approach is based on six indicators consisting of economic, political, and media resources, internal and external to ci

Multimorbidity healthcare expenditure in Belgium : a 4-year analysis (COMORB study)

Background: The complex management of health needs in multimorbid patients, alongside limited cost data, presents challenges in developing cost-effective patient-care pathways. We estimated the costs of managing 171 dyads and 969 triads in Belgium, taking into account the influence of morbidity interactions on costs. Methods: We followed a retrospective longitudinal study design, using the linked

Quantitative Characterization of a Desalination Membrane Model System by X-ray Photoelectron Spectroscopy

Aromatic polyamide films form the active layer in reverse osmosis desalination membranes. Despite widespread use of this technology, it suffers from low rejection rates for certain water contaminants and from membrane fouling. Through a better understanding of the fundamental surface chemical processes during reverse osmosis desalination, advances in membrane and material design are expected. The

Water-polyamide chemical interplay in desalination membranes explored by ambient pressure X-ray photoelectron spectroscopy

Reverse osmosis using aromatic polyamide membranes is currently the most important technology for seawater desalination. The performance of reverse osmosis membranes is highly dependent on the interplay of their surface chemical groups with water and water contaminants. In order to better understand the underlying mechanisms of these membranes, we study ultrathin polyamide films that chemically re

Assessing and minimizing risk of patients with aortic disease

Prophylactic endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm (AAA) aims to avoid aneurysm rupture. However, only patients with sufficient long-term survival get benefit from this avoidance. Therefore, accurate patient selection is crucial.The aim of the project is to evaluate new methods of assessing and minimizing the risks and thereby improve the selection of patient with the mo

Value of preclinical systematic reviews and meta-analyses in pediatric research

Similar to systematic reviews (SRs) in clinical fields, preclinical SRs address a specific research area, furnishing information on current knowledge, possible gaps, and potential methodological flaws of study design, conduct, and report. One of the main goals of preclinical SRs is to identify aspiring treatment strategies and evaluate if currently available data is solid enough to translate to cl

Role of IoT to avoid spreading of COVID-19

Covid-19 has become pandemic, spreading all over the world. Scientists and engineers are working day and night to develop a vaccine, to evolve more testing facilities, and to enhance monitoring systems. Mobile and web-based applications, based on questionnaires, have already been developed to monitor the health of individuals. Internet of Things (IoT) can be used to avoid the spreading of Covid-19

A review on operation and maintenance of hydropower plants

Hydropower is one of the renewable energy sources having the highest conversion efficiency than other renewable energy sources. The hydro turbine is considered as the main component of a hydropower plant and operation and maintenance of various components are the critical issues for optimal energy generation. Under the present paper, a comprehensive literature review on the operation and maintenan

Compressive Strength Prediction of Lightweight Concrete : Machine Learning Models

Concrete is the most commonly used construction material. The physical properties of concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre-reinforced concrete, polymer-modified concrete, and lightweight concrete. The precise prediction of the properties of concrete is a problem due to the design code, which typically requires specific characteristics. The em

Machine Learning-Based CO2Prediction for Office Room : A Pilot Study

Air pollution is increasing profusely in Indian cities as well as throughout the world, and it poses a major threat to climate as well as the health of all living things. Air pollution is the reason behind degraded indoor air quality (IAQ) in urban buildings. Carbon dioxide (CO2) is the main contributor to indoor pollution as humans themselves are one of the generating sources of this pollutant. T

In situ imaging of precipitate formation in additively manufactured al-alloys by scanning X-ray fluorescence

Al-alloys incorporating Mn, Cr and Zr, tailored for powder bed fusion-laser beam processes with solubilities three times equilibrium have recently been developed that yield a high strength. Mn and Cr-enriched precipitates that form during printing and heat treatment influence the material’s mechanical properties hence making it important to understand their kinetics. In this study, direct imaging

Image restoration using a fuzzy-based median filter and modified firefly optimization algorithm

This paper presented an object restoration approach in which images are influenced by the salt & pepper noise replaced by a median filter based on fuzzy logic. A Modified Firefly Optimization Algorithm (MFOA) is used to restore the images based on the Richardson-Lucy algorithm. Denoising, as well as restoring the image, is effectively demonstrated. Compared to current denoising filtered, PSO (

Composition of Giants 1° North of the Galactic Center : Detailed Abundance Trends for 21 Elements Observed with IGRINS

We report the first high-resolution, detailed abundances of 21 elements for giants in the Galactic bulge/bar within 1° of the Galactic plane, where high extinction has rendered such studies challenging. Our high-signal-to-noise-ratio and high-resolution, near-infrared spectra of seven M giants in the inner bulge, located at (l, b) = (0°, +1°), are observed using the IGRINS spectrograph. We report

Application of Internet of Things in Image Processing

Image processing and IoT technology use various sensors and camera-based sensors for processing image data with help of a variety of IoT applications. So far, the IoT and image processing concepts have been used for our real-life applications. Their individual use in the sphere of industries is possible and has had some success. However, a combination of the two technologies has yet to be develope

An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams

Over the world, there is growing worry about the corrosion of reinforced concrete structures. Structure repair, rehabilitation, replacement, and new structures all require cost-effective and long-lasting technologies. Fiber Reinforced Polymer (FRP) has been widely employed in both retrofitting existing structures and building new ones. Due to its varied qualities in reinforced concrete and masonry

Development of correlation to predict the efficiency of a hydro machine under different operating conditions

The global energy demand is increasing due to an increase in economic growth and urbanization which is set to rise by 4.6% in 2021. A major part of this increasing energy demand is accomplished by fossil fuels which create environmental pollution. Hydropower is the most mature, reliable, and cost-effective source of energy. However, the operation and maintenance (O&M) of hydro turbines is the