6 results match your criteria: "Universitatii Street No.1[Affiliation]"

(1) Background: Total hip arthroplasty (THA) is one of the most common procedures used for adult hip reconstruction, employing mainly two types of prostheses: cemented (CHP) and cementless (CLHP). This study aims to analyze the impact of the COVID-19 pandemic on THA with CHP and CLHP, in terms of the benefit/cost ratio. (2) Methods: This article represents a retrospective analysis of the differences concerning the benefit/cost ratio between THA with the two types of prostheses in 2950 patients admitted for THA in the two orthopedic clinics of our hospital between 1 January 2015-1 March 2020 in comparison with 1005 THA subjects seen between 1 April 2020-31 December 2022.

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Challenges in the Adoption of eHealth and mHealth for Adult Mental Health Management-Evidence from Romania.

Int J Environ Res Public Health

July 2022

Faculty of Economic Sciences and Business Administration, Transilvania University of Brașov, Colina Universității Street No. 1, Building A, 500068 Brașov, Romania.

New methods of connecting physicians and patients have arisen. Technology is playing a crucial role and the concept of hybrid doctor-patient relationship is considered relevant for the competitive health management system. At the same time, the need for knowledge about implementing policies and best practices into the system is highly demanding.

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Taking care of mental health is a state of mind. Amid the challenges of the current context, mental health has become one of the problems with the greatest impact on citizens and the evolution of any economy. Due to the COVID-19 pandemic, people have become more anxious, solitary, preoccupied with themselves, and depressed because their entire universe has changed, by restricting their social and professional life; the increase in concern caused by a possible illness of them or those close to them made to isolate themselves.

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The present study introduces the process performances of nitrophenols pertraction using new liquid supported membranes under the action of a magnetic field. The membrane system is based on the dispersion of silver-iron oxide nanoparticles in n-alcohols supported on hollow microporous polypropylene fibers. The iron oxide-silver nanoparticles are obtained directly through cyclic voltammetry electrolysis run in the presence of soluble silver complexes ([AgCl]; [Ag(SO)]; [Ag(NH)]) and using pure iron electrodes.

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Multiple Linear Regressions by Maximizing the Likelihood under Assumption of Generalized Gauss-Laplace Distribution of the Error.

Comput Math Methods Med

March 2017

Department of Medical Informatics and Biostatistics, Faculty of Medicine, Iuliu Haţieganu University of Medicine and Pharmacy, Louis Pasteur Street No. 6, 400349 Cluj-Napoca, Romania; Doctoral School, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Mănăştur No. 3-5, 400372 Cluj-Napoca, Romania.

Multiple linear regression analysis is widely used to link an outcome with predictors for better understanding of the behaviour of the outcome of interest. Usually, under the assumption that the errors follow a normal distribution, the coefficients of the model are estimated by minimizing the sum of squared deviations. A new approach based on maximum likelihood estimation is proposed for finding the coefficients on linear models with two predictors without any constrictive assumptions on the distribution of the errors.

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Inside of the Linear Relation between Dependent and Independent Variables.

Comput Math Methods Med

April 2016

Department of Medical Informatics and Biostatistics, Iuliu Haţieganu University of Medicine and Pharmacy, Louis Pasteur Street No. 6, 400349 Cluj-Napoca, Romania.

Simple and multiple linear regression analyses are statistical methods used to investigate the link between activity/property of active compounds and the structural chemical features. One assumption of the linear regression is that the errors follow a normal distribution. This paper introduced a new approach to solving the simple linear regression in which no assumptions about the distribution of the errors are made.

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