Kleincase7784

The aim of this study was to determine the productivity characteristics related to the thesis rate of biomedical students of the PhD program in Health Sciences in Lima, Peru through a 20-year retrospective study.

This was a retrospective, comparative, cross-sectional study. The evaluation period consisted of two time periods, 1999-2014 and 2015-2019, to differentiate thesis defense production both before and after the promulgation of the new University Law 30220 in Peru. The student population included graduates from different professional areas (Dentistry, Medicine, etc.). An electronic search for all the data was carried out by using the Universidad Nacional Mayor de San Marcos (UNMSM) SUM (Unique Registration System) software.

It was found that the highest prevalence of students who entered in the doctoral programs of the UNMSM Faculty of Medicine was 26.6% in 2013, whereas the highest prevalence of graduates was 24.4% in 2016. Finally, the highest prevalence of graduates who engaged in thesis defense was 41.4% in 2017. There has been a constant increase in thesis production, with the cutoff point being from 2014 onward. The Pearson's chi-square test showed a significant association between the type of PhD program and thesis defense (

= 0.008).

The greatest production of thesis defense was carried out from 2014 to 2019. In addition, there was a significant association between thesis defense according to the PhD program and the professional career of the PhD student; however, none of the factors associated with the influence of obtaining a PhD degree in any of the programs evaluated was statistically significant.

The greatest production of thesis defense was carried out from 2014 to 2019. In addition, there was a significant association between thesis defense according to the PhD program and the professional career of the PhD student; however, none of the factors associated with the influence of obtaining a PhD degree in any of the programs evaluated was statistically significant.

The aim of this study was to evaluate Highmore antrum sexual dimorphism by cone-beam computed tomography (CBCT) in a Peruvian population.

This was a retrospective analytical study. The sample consisted of 190 CBCT scans. Inter-observer concordance was performed previously obtaining an intraclass correlation coefficient (ICC) of 0.99 for the width, length, and height of the right and left maxillary sinus. Then the dimensions of the maxillary sinus (left and right) were measured. All statistical analyses were performed using the Student's

test and Lambda de Wilks, establishing a level of significance of

< 0.05.

It was observed that on the right side of the maxillary sinus there were only statistically significant differences between the width, height, area, perimeter, and volume of the Highmore's antrum and sex with a

< 0.05. Statistically significant differences were observed between sex and the width, height, area, perimeter, and volume of the Highmore's antrum in the right side of the maxillary sinus (

< 0.05), whereas the left side only showed statistically significant differences between the height and volume of the Highmore's antrum and sex (

< 0.05).

The maxillary sinuses have significant sexual dimorphism, with the parameter of height showing the greatest dimorphism according to the discriminant analysis.

The maxillary sinuses have significant sexual dimorphism, with the parameter of height showing the greatest dimorphism according to the discriminant analysis.

The objective of this study was to evaluate the influence of the surface energy of different brands of polymethyl methacrylate (PMMA) on the adherence of

ATCC 10231 in an

study.

The study had an

, longitudinal, and comparative experimental design. The following groups were made (1) Vitacryl versus controls (water, dimethyl sulfoxide, glycerol, diethylene glycol, and formamide); (2) Triplex versus the same controls; (3) Vitacryl versus Triplex (surface energy); and (4) Vitacryl versus Triplex (adhesion per cell/field). Adhesion was measured in the area of each field magnified 10 × 10, and with an increase in magnification to 40 × 10, very dense colonies of 0.152 mm

were observed.

The surface energy of Vitacryl and Triplex was 40.3 ± 0.3 and 39.5 ± 0.3N/m, respectively, showing statistically significant differences (

< 0.001). On the contrary, in relation to the adhesion per cell/field of

, Vitacryl presented 15.7 ± 1.1, whereas Triplex had 16.7 ± 2.3, with no significant differences (

= 0.058).

In relation to the adhesion per cell/field of

, there was no evidence of significant differences between Vitacryl and Triplex.

In relation to the adhesion per cell/field of C. albicans, there was no evidence of significant differences between Vitacryl and Triplex.

The aim of the study was to evaluate and check the international literature for Covid-19 prevention and dental education.

A review of the international literature was performed, including articles in English about different aspects of transmission, preventive actions, and educational topics.

As a result, it seems that the better way to avoid contagion was represented by the use of personal protective equipment and handwashing in conjunction with social distancing and treatment limitation.

Dental treatment limitation to emergencies, social distancing, and online teaching seemed to be the key to limit the Covid-19 outbreak, although there was no evidence of a universal guideline. This suggests that we have to establish general guidelines to avoid a second rush of contagion and limit the spread of infection in the future.

Dental treatment limitation to emergencies, social distancing, and online teaching seemed to be the key to limit the Covid-19 outbreak, although there was no evidence of a universal guideline. This suggests that we have to establish general guidelines to avoid a second rush of contagion and limit the spread of infection in the future.Towards the improvement of predicting and analyzing the infection transmission, a novel CNN (Convolution Neural Network) based Covid Infection Transmission Analysis (CNN-CITA) is presented in this article. The method works based on both GIS data set and the Covid data set. The method reads all the data from the data sets. From the remote sensing data, the method extracts different climate conditions like temperature, humidity, and rainfall. Similarly from Global Information System data set, the locations of the peoples are fetched and merged. GLPG3970 The merged data has been split into number of time frame, at each condition, the data sets are merged. Such merged data has been trained with deep learning networks which support the search of person location and mobility. Based on the result and the data set maintained by the governments, the infection transmission rate has been measured on region basis. In each region of movement performed by any person, the method computes the infection Transmission Rate (ITR) in two time window as before and after.