Introduction/Objective. Malocclusions are one of the most frequent disorders in dentistry, and pose a risk for the onset of caries and periodontal diseases. Fixed orthodontic treatment solves the problem of malocclusions; however, it requires simultaneous cooperation of the patients, parents, and dentists involved. The objective of this study is to examine the effects of fixed orthodontic therapy on the Streptococcus mutans and Lactobacillus spp. bacteria in saliva, the pH value, and buffering capacity of saliva. Methods. The research was carried out at the Faculty of Medicine in Foca, Department of Dentistry. The study included 100 respondents, aged 13 to 17 years. The respondents were divided into two groups: the study group (respondents wearing fixed braces) and the control group (respondents not subjected to fixed braces therapy). Saliva samples were taken from the respondents four, 12, and 18 weeks after the start of the orthodontic therapy. The study used the bacteria caries risk test (CRT) and CRT buffer (Ivoclar Vivadent). Results. The study showed an increased number of bacteria in saliva of the respondents during all three follow-up periods (χ2 test, p = 0.001). The largest numbers of the Streptococcus mutans and Lactobacillus spp. bacteria were found in week 12 of the therapy. Saliva pH value and buffering capacity of saliva increased statistically significantly in week 12 of the therapy (χ2 test, p = 0.001). Conclusion. Oral conditions in patients changed during the fixed orthodontic therapy: the number of bacteria increased, the pH value and buffering capacity of saliva changed. It was necessary to use preventive measures in order to avoid complications during the fixed orthodontic appliances therapy.

Many of medicaments used historically in root canal treatment have been shown to be cytotoxic. Paraformaldehid agents (such as Toxavit and Depulpin) are used to devitalize inflamed pulp when local anesthesia is ineffective. The misuse of pulp devitalizing agents may cause damage to gingiva and alveolar bone. This case report demonstrates complications arising after application of paraformaldehyde containing paste, necrosis of the gingiva and alveolar cortical bone, which resulted in great loss of supporting bone. Surgical intervention was required wherein necrotic bone was removed and bone defect was filled with xenograft of bovine origin. After three months endodontic treatment was performed. After the treatment, the patient?s complaints were resolved. The use of paraformaldehyde-based agents during endodontic therapy requires special caution.

Background: It is clear that in developed countries more women die annually from ovarian cancer than from all other gynecologic malignancies combined. Objective: The aim of this article is to analyze current possibilities and propose adequate measures which can help the development of effective screening methods/assays for the early detection of epithelial ovarian cancer. Results and Discussion: This article updates the status of ovarian cancer screening and addresses most relevant studies published during the last five years. The developments that followed the review are best summarized in reference to the screening tests, target populations and newly published trials. The possible role of 3D ultrasound technology, especially 3D power Doppler imaging, in early and accurate detection of ovarian malignancy is discussed. We described our new ovarian cancer screening trial, which started in January 2001. Improvements in ultrasound technology such as 3D volume acquisition and 3D power Doppler imaging may have clinical utility in a more reliable identification of an abnormal ovarian vascularity and architecture. 3D volume acquisition allows for careful evaluation of the internal surfaces of cyst walls for excrescences otherwise not appreciated by 2D ultrasound. Conclusion: While the addition of 3D power Doppler provides a new tool for measuring the quality of ovarian tumor angiogenesis, improving accurate diagnosis of ovarian malignancies, its clinical value for the early detection of ovarian carcinoma has yet to be determined.

An advanced system for determination of face mask efficiency is developed and presented in this paper It is based on a high-end scanning mobility particle sizer (SMPS), which was able to detect nanoparticles from the diameter of 10 nm up to 1000 nm in 129 equidistant channels Two fitting installations for face masks were used: a mannequin doll head, to simulate realistic use of face mask and a tight-fit system which prevents the air leak The SMPS-based system was able to determine mask efficiency for different particle sizes © 2020 Danube Adria Association for Automation and Manufacturing, DAAAM All rights reserved

Purpose: Physical activity levels (PA-levels) significantly decline during adolescence, and sport participation during childhood and adolescence is frequently emphasized as protec-tive factors of PA-decline. However, there is a lack of studies which specifically examined sport-related factors and its influence on changes in PA (PA-changes) in adolescence. This study aimed to prospectively observe sport factors as: (i) correlates of PA-levels and (ii) pre-dictors of PA-changes in the period between 16 and 18 years of age among urban adoles-cents from Bosnia and Herzegovina. Methods: The sample of participants comprised 324 adolescents (44% females) who were prospectively observed over two testing waves: (i) baseline, when participants were 16 years old; and (ii) follow-up, 20 months later (18 years of age). The variables were collected by previously validated questionnaires including questions on predictors (sociodemographic variables and various sport factors [current/former/ever participation in individual and team sports, experience in sports, competitive result achieved]), and criteria (PA level obtained at study baseline and follow up, measured by Physical Activity Questionnaire for Adolescents [PAQ-A], and difference between PA-levels at baseline and follow-up). The t-test was used to compare PA-levels. The associations between variables were evidenced by: (i) Spear-man’s rank order correlations (between predictors and PA-levels), and (ii) logistic regression analysis (between predictors, and PA-changes observed as binomial criterion [PA-incline vs. PA-decline] – excluding those participants who reported active sport participation at study baseline). Results: The PA-level significantly declined over the study course (t-test: 6.60, p < 0.01). Sport-related predictors were significantly associated with PA at baseline (Spearman’s R: 0.33–0.45, p < 0.01), and PAat follow-up (Spearman’s R: 0.32-0.45, p < 0.01). Meanwhile, there was no significant correlation between studied predictors and differences in PA-levels between baseline and follow-up. Also, logistic regression did not reveal any significant influ-ence of predictors obtained at study baseline and PA-changes observed as binomial criterion (PA-incline vs PA-decline). Conclusion: While studied sport-related predictors significantly influence the PA-levels in the age of 16 and 18, with the higher level of PA among those adolescents who are actively in-volved in sports, sport-participation do not predict changes in PA-levels over the observed period of life. Knowing the influence of PAon overall health status, future studies should pro-vide additional details on possible predictors of PA-changes in adolescence.