The Influence of the Teachers' Scientific Field on the Effects of the Application of ICT in Higher Education Institutions.

Modern information and communication technologies have intensively reformed the teaching process in higher education, expanding new opportunities for learning and access to educational resources, compared to those used in traditional learning. Taking into account the specifics of the application of these technologies in different scientific disciplines, the aim of this paper is to analyse the impact of the teachers' scientific field on the effects of the application of these technologies in selected higher education institutions. The research included teachers from 10 faculties and three schools of applied studies, who provided answers to 20 survey questions.

In vitro effect of beer, red and white wine on the morphology and surface roughness of human enamel.

Background: Beer, red and white wine are acidic drinks whose frequent consumption can increase the risk of dental erosion.

Objectives: To establish the effect of beer, red and white wine on the morphology and surface roughness (SR) of human enamel using different exposure times in a cyclic deand remineralization model in vitro.

Material And Methods: The experiment included 33 surgically extracted impacted human third molars from patients aged 18-25 years.

Gender-specific differences in hemodialysis patients: a multicenter longitudinal study from Serbia.

Purpose: The study was undertaken with the aim to determine gender-specific differences in incident hemodialysis (HD) patient and their changes over time.

Methods: The retrospective longitudinal closed cohort study involved 441 incident patients starting HD in 2014 and followed for 1-59 (median 43, IQR 40) months. Demographic, clinical data, treatment characteristics, laboratory findings and outcome were abstracted from the patients' medical records.

Adaptive neuro fuzzy selection of important factors for prediction of plasmons in silver nanorods.

The major goal of this study was to find predictors of plasmon positions in silver nanorod (NR) optical absorption spectra. The goal of this study is to use an adaptive neural fuzzy inference system to identify the various input parameters for longitudinal surface plasmon resonance (LSPR) and transverse surface plasmon resonance (TSP). A seed strategy has been used for preparation of the silver NRs.

Optimization of a plastic optical fiber based sensor for dye sensing coupled with an adapted neuro-fuzzy inference system.

In this study, estimation capacities and optimization of a dye concentration sensing model by an adapted neuro-fuzzy inference system (ANFIS) as well as central composite design coupled with response surface methodology using a plastic optical fiber (POF) based sensor were investigated. Various diameters of POF were used for sensing different concentrations of Remazol Black B (RBB), which acts as a sensing medium of the process. The efficiency of sensing was studied as a function of three independent variables: diameter of POF, concentration of RBB dye, and initial temperature of the solution.