In this paper we will observe the model of competitive types and it will be analyzed using the nullcline method. It will be shown that this model has four points of equilibria, which are stable or unstable depending on the parameters a and b. The local stability of these points was investigated and global dynamics was determined using nullcline methods, that is, the bases of attraction of these points were shown.

INTRODUCTION The literature indicates different factors influencing recruitment of health professional students to work in rural areas. The purpose of this study is to explore the willingness of health profession students in the Faculty of Medicine Foca, University of East Sarajevo, Bosnia and Herzegovina to work in a rural area following graduation and the factors influencing incentives to pursue a rural career. METHODS The cross-sectional study included first-year through sixth-year students aged 18 years or older and enrolled in one of three study programs at the Faculty of Medicine: medicine, dentistry and nursing. The questionnaire was distributed at the beginning of the winter semester during the first required lecture for each year and study program class. Data was analyzed using student t-test, analysis of variance when appropriate, Kruskal-Wallis test and multivariate logistic regression analysis. RESULTS A total of 519 students participated, an 88.3% response rate. Three hundred and ninety-nine (77%) participants responded positively to the question 'When you complete your studies, would you be inclined to accept a job in a rural region?' Factors associated with willingness to practise in rural areas included being female (p=0.027) and having a rural upbringing (p=0.037). Significant differences between medicine, nursing and dentistry students were found in their opinion that willingness to work in rural practice depends greatly on the possibility to get residency more easily (p=0.001). Compared to their peers, nursing students had better opportunities to attend national courses cost-free (p=0.027) and to be involved in the education of new generations of health profession students (p=0.001). Getting a post in an urban area after a work period in a rural area was most valued as an incentive by dentistry students (p=0.037). The multivariate logistic regression model was used to analyze predictors of willingness to practise in rural areas. Students who had been raised in a rural community (p=0.042) as well as female students (p=0.016) were more likely to accept rural practice. Statistical significance at an alpha level of 0.05 was not reached for study program and year of study. CONCLUSIONS The results of the study showed a high willingness of medicine, dentistry and nursing students to work in rural areas following graduation. Female students and students who were raised in a rural community were more likely to choose a rural career. Stakeholders should be committed to strengthening the rural deployment of health professionals by creating a more attractive, rural environment.

7-Methyl-1,5,7-triazabicyclo[4.4.0]dec-5-ene (mTBD) has useful catalytic properties and can form an ionic liquid when mixed with an acid. Despite its potential usefulness, no data on its thermodynamic and transport properties are currently available in the literature. Here we present the first reliable public data on the liquid vapor pressure (temperature from 318.23 K to 451.2 K and pressure from 11.1 Pa to 10 000 Pa), liquid compressed density (293.15 K to 473.15 K and 0.092 MPa to 15.788 MPa), liquid isobaric heat capacity (312.48 K to 391.50 K), melting properties, liquid thermal conductivity (299.0 K to 372.9 K), liquid refractive index (293.15 K to 343.15 K), liquid viscosity (290.79 K to 363.00 K), liquid–vapor enthalpy of vaporization (318.23 K to 451.2 K), liquid thermal expansion coefficient (293.15 K to 473.15 K), and liquid isothermal compressibility of mTBD (293.15 K to 473.15). The properties of mTBD were compared with those of other relevant compounds, including 1,5-diazabicyclo(4.3.0)non-5-ene (DBN), 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU), and 1,1,3,3-tetramethylguanidine (TMG). We used the PC-SAFT equation of state to model the thermodynamic properties of mTBD, DBN, DBU, and TMG. The PC-SAFT parameters were optimized using experimental data.

A car price prediction has been a high-interest research area, as it requires noticeable effort and knowledge of the field expert. Considerable number of distinct attributes are examined for the reliable and accurate prediction. To build a model for predicting the price of used cars in Bosnia and Herzegovina, we applied three machine learning techniques (Artificial Neural Network, Support Vector Machine and Random Forest). However, the mentioned techniques were applied to work as an ensemble. The data used for the prediction was collected from the web portal autopijaca.ba using web scraper that was written in PHP programming language. Respective performances of different algorithms were then compared to find one that best suits the available data set. The final prediction model was integrated into Java application. Furthermore, the model was evaluated using test data and the accuracy of 87.38% was obtained.

Heat dissipation in next-generation electronics based on two-dimensional (2D) materials is a critical issue in their development and implementation. A potential bottleneck for heat removal in 2D-based devices is the thermal pathway from the 2D layer into its supporting substrate. The choice of substrate, its composition and structure, can strongly impact the thermal boundary conductance (TBC). Here we investigate the temperature-dependent TBC of 42 interfaces formed between a group of six 2D materials and seven crystalline and amorphous substrates. We use first-principles density functional perturbation theory to calculate the full phonon dispersion of the 2D layers and substrates and then input them into our model for phonon transport across the 2D–3D interface. Our results show that the TBC depends on the overlap between the vibrational frequencies and can be varied by nearly two orders of magnitude, from as low as  ∼0.6 MW · m K−1 (h-BN on diamond) to  ∼40 MW · m K−1 (h-BN on SiO2), for the same 2D layer by changing the substrate material. We find that amorphous materials significantly boost the TBC relative to their crystalline counterparts, assuming the two interfaces have the same adhesion, owing to the low-frequency Boson peak feature in their vibrational density of states (vDOS). For crystalline substrates, we further correlate constituent material properties with the calculated TBCs and find that the TBC strongly depends on a combination of the speed of sound, Debye temperature, and density of the substrate as well as the bandwidth of the flexural branch in the 2D material. We conclude that softer substrates with sharp low-frequency features in their vDOS, such as amorphous materials, polymers, and nanoparticles, could have higher TBC, leading to a trade-off between TBC and the thermal conductivity of the substrate.

Under normal conditions it may take years to gather failure data on the life cycle of new LED products. Through accelerated life testing the product life of HP LED is simulated by increasing the stress levels of the ambient temperature to higher than normal. A lifetime acceleration estimate is made using the Arrhenius model. The value of activation energy is not assumed, but is experimentally determined by performing tests at multiple temperatures and plotting the results. The acceleration factor is obtained by the ratio of the reaction rates at the tested temperatures and the declared temperature. Using the correct value of the activation energy is important because it represents the dominating reason for degradation and small change in its value will have an effect on the acceleration factor.Under normal conditions it may take years to gather failure data on the life cycle of new LED products. Through accelerated life testing the product life of HP LED is simulated by increasing the stress levels of the ambient temperature to higher than normal. A lifetime acceleration estimate is made using the Arrhenius model. The value of activation energy is not assumed, but is experimentally determined by performing tests at multiple temperatures and plotting the results. The acceleration factor is obtained by the ratio of the reaction rates at the tested temperatures and the declared temperature. Using the correct value of the activation energy is important because it represents the dominating reason for degradation and small change in its value will have an effect on the acceleration factor.

Introduction: Hygiene of removable dentures can not be separated from oral hygiene. Removable dentures persist in mouth for up to 16 hours every day. Inadequately cleaned dentures with lots of plaque accumulated, can compromise health status of mucosa and remaining teeth. It can lead to stomatitis protetica, candidiasis and periodontitis. Aim of the research was to investigate habits of 65+ old patients, regarding the method and frequency of cleaning their dentures, to investigate substances used for cleaning and to investigate frequency and causes for dental visits. Materials and methods: Questionnaire was presented to 61 patient who were 65 or older, and have removable dentures. Results: 82% of the patients interviewed is cleaning their dentures at least twice daily.93% of them is using the mechanical method of cleaning the dentures. 86% is using a toothpaste for cleaning, 52% is keeping the dentures in clean water when it is not in the mouth, 48% is using cleaning tablets. 57% of interviewed patients is wearing dentures at night. 48% of them reported that they have never been instructed from their dentists on how to clean their dentures. 36% of them goes to the dentist only when have some emergency problem. Conclusion: The patients had limited knowledge about prosthetic- and oral hygiene, and they rarely visited dentist. The data collected provided an insight on habits of patients and pointed to the need of greater involvement in prosthetic hygiene promotion and in better informing of the patients.