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Incidence of Clinically Diagnosed Psoriatic Arthritis in Sweden

Objective. Prior incidence estimates of psoriatic arthritis (PsA) vary considerably. We aimed to assess the annual incidence of clinically diagnosed PsA among adults in Sweden in 2014-2016, overall and stratified by age/sex/education/geography, and to investigate potential time trends in incidence in 2006-2018. Use of disease-modifying antirheumatic drugs (DMARDs) during the 2 years after diagnosi

Healthcare Professionals’ Ratings and Views of Person-Centred Care in the Context of Allogeneic Hematopoietic Stem Cell Transplantation

Introduction: Allogeneic stem cell transplantation (allo-HCT) involves a long trajectory with high risk of complications. In person-centred care (PCC), patients’ needs, resources and the care relationship are central to the care process. Healthcare professionals’ (HCPs) ratings of PCC have not previously been investigated in this context. Objectives: The aim of this study was to investigate health

Macroecological predictors to determine future refuges of Luciobarbus species in the Tigris–Euphrates basin : Rethinking conservation strategies and management

Freshwater ecosystems, being highly susceptible to the impacts of climate change, experience a greater influence than terrestrial and marine ecosystems. Hence, by identifying the regions that will be most affected by climate change in the future, managers can implement more efficient and effective measures to protect them. In this study, we utilized six Luciobarbus species residing at the southern

Generalized two-parameter estimators in the multinomial logit regression model : methods, simulation and application

In this article, we propose generalized two-parameter (GTP) estimators and an algorithm for the estimation of shrinkage parameters to combat multicollinearity in the multinomial logit regression model. In addition, the mean squared error properties of the estimators are derived. A simulation study is conducted to investigate the performance of proposed estimators for different sample sizes, degree

A new class of efficient and debiased two-step shrinkage estimators : method and application

This paper introduces a new class of efficient and debiased two-step shrinkage estimators for a linear regression model in the presence of multicollinearity. We derive the proposed estimators’ mean square error and define the necessary and sufficient conditions for superiority over the existing estimators. In addition, we develop an algorithm for selecting the shrinkage parameters for the proposed

Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models

Future climate scenarios are predicting considerable threats to sustainable maize production in arid and semi-arid regions. These adverse impacts can be minimized by adopting modern agricultural tools to assess and develop successful adaptation practices. A multi-model approach (climate and crop) was used to assess the impacts and uncertainties of climate change on maize crop. An extensive field s

A restricted gamma ridge regression estimator combining the gamma ridge regression and the restricted maximum likelihood methods of estimation

In this article, we propose a restricted gamma ridge regression estimator (RGRRE) by combining the gamma ridge regression (GRR) and restricted maximum likelihood estimator (RMLE) to combat multicollinearity problem for estimating the parameter (Formula presented.) in the gamma regression model. The properties of the new estimator are discussed, and its superiority over the GRR, RMLE and traditiona

Influence diagnostics for the Cox proportional hazards regression model : method, simulation and applications

This article investigates the performance of several residuals for the Cox proportional hazards regression model to diagnose the influential observations. The standardized and adjusted forms of residuals are proposed for Cox proportional hazards regression model. In addition, Cook’s distance is proposed for both standardized and adjusted residuals. The assessment of different residuals for the ide

Modeling of time domain diffuse Raman spectroscopy in a two-layer medium

A model, based on the solution of two coupled diffusion equations to the excitation and emission wavelengths, respectively, was developed to describe the Raman signal in the time domain in a reflectance configuration in a two-layer medium. The accuracy of the model is characterized by comparison with the results of Monte Carlo simulations. This solver can correctly account for the Raman emitters w

The predictive value of postoperative soluble urokinase plasminogen activator receptor concentration for postoperative complications following valvular surgery

Soluble urokinase plasminogen activator receptor (suPAR) is an inflammatory marker that has been shown to predict poorer outcomes in cardiovascular disease and after cardiac surgery. The relationship between suPAR concentrations and postoperative complications after valvular surgery, however, remains unclear. This study aims to evaluate the predictive value of suPAR concentrations for infection, a

Att skaffa barn sätter punkt för kvinnans forskarkarriär

Hård konkurrens och osäkra anställningar inom akademin skapar dåliga förutsättningar för både forskning och yrkesbana. Kvinnor drabbas särskilt hårt och deras karriärer stagnerar när de får barn. Forskarpapporna då? De är till synes opåverkade och fortsätter att publicera i allt högre tempo, skriver ekonomiforskaren Olof Ejermo i en ny rapport.

Dynamic Control Room Interfaces for Complex Particle Accelerator Systems

The European Spallation Source (ESS) is a research facility under construction aiming to be the world’s most powerful pulsed neutron source. It is powered by a complex particle accelerator designed to provide a 2.86 ms long proton pulse at 2 GeV with a repetition rate of 14 Hz. Commissioning of the first part of the accelerator has begun and the requirements on the control system interfaces varies