Background: Remote symptom monitoring (RSM) is an evidence-based strategy shown to mitigate postoperative morbidity; however, platform engagement is required to benefit from RSM. Patients who report current smoking are at high risk for postoperative complications, but it is unknown whether smoking status influences engagement with RSM, symptom severity, or unanticipated acute care visits. Methods:

The scarcity of hematopoietic stem cells (HSCs) restricts their use in both clinical settings and experimental research. Here, we examined a recently developed method for expanding rigorously purified murine HSCs ex vivo. After 3 weeks of culture, only 0.1% of cells exhibited the input HSC phenotype, but these accounted for almost all functional long-term HSC activity. Input HSCs displayed varying

Objective: This retrospective, multicentre, observational study analysed patients who underwent endovascular repair for blunt traumatic aortic injury (BTAI) at four tertiary trauma referral centres over twenty years. It aimed to determine early and long term survival, to analyse aortic and device related complications, and to assess the re-intervention rate after endovascular repair for BTAI. Meth

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

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

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

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

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

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

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

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

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

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