The main purpose of this study is to investigate the effects of e-CRM tactics on customer loyalty in B2C markets. In addition, this study attempts to explore the mediating roles of customer service quality and perceived value in the e-CRM – customer loyalty relationship. Moreover, the current research explores the relative importance of individual e-marketing tactics (personalization, reward program, online community, and customer service quality) is a customer loyalty model. A conceptual model is empirically tested in the context of the bank industry, using a sample of 203 bank users. The results indicate that e-CRM has a positive indirect effect on customer loyalty via customer service quality. The findings suggest that online services, personalization, and ease of website navigation are the most important factors in influencing customer loyalty. The present study enhances our understanding of the importance of individual e-CRM tactics in influencing customer loyalty and thereby provides valuable insights for marketing managers in service sectors, particularly the banking sector.

Background / Aim. Asthma is a chronic inflammatory lung disorder. The effect of asthma drugs on oral health is still the subject of debate among researchers in dentistry. The aim of this study was to evaluate dental status in asthmatic children and evaluate the possible effect of drugs treating asthma on dental health. Methods. Participants were divided into two groups: the asthma (AG) and the non-asthma (NAG) group. Based on symptoms of the asthma and possibility for effective control of the disease, the asthma group was divided into two subgroups. The oral examination of the teeth was performed by the use of probe and mouth mirror under artificial light in accordance with World Health Organization recommendations. Saliva analysis was carried out by GC Saliva-Check Buffer. Results. The present study included 136 children aged from 6 to 16 years. The mean dmft/DMFT (decayed, missing, filled, teeth) of children in the AG group (6.0?4.0/3.3?4.4) was higher than in the NAG group (4.8?4.4/2.5?3.4), but significant differences were not observed between the groups. Salivary pH values were found to be similar in both groups, but a stimulated salivary flow rate was found to be significantly lower in the AG group (p<0.01). Conclusion. Although the prevalence of dental caries in the AG group was similar to the NAG group in this study, decreased stimulated salivary flow rate in the AG group may contribute to higher values of dental caries in asthmatic children in future.

Introduction. Serological testing for SARS-CoV-2 virus infection is a valuable method of estimating the extent of COVID-19 disease prevalence. The study aims to assess the seroprevalence of SARS-CoV-2 virus infection in a specific group of respondents employed in the health insurance sector, to determine the ratio of symptomatic and asymptomatic cases, as well as to examine susceptibility to COVID-19 in relation to the ABO blood group system. Methods. This research was conducted among 150 randomly selected employees from the health insurance sector of the Republic of Srpska. All respondents completed the survey, voluntary consent to participate, and had a blood sample taken. Serum samples were tested for the presence of SARS-CoV-2 specific IgG antibodies. Results. The seroprevalence of SARS-CoV-2 virus infection was 70.7%. Out of the 100 seropositive respondents, 48% had the presence of a symptom of COVID-19, while 52% had no symptoms of the disease in the period from 1 March 1 2020 until the day of testing. Examining the association between ABO blood group system and seropositivity in our study, we found that the highest seroprevalence of SARS-CoV-2 IgG antibodies among respondents was in blood group B (83.3%), followed by blood group AB (80.0%) and blood group A (75.0%), while the lowest seroprevalence was among respondents with blood group O (54.1%). Conclusion. Among employees in the health insurance sector, SARSCoV-2 seroprevalence of 70.7% was registered. Among respondents with a positive serological result on IgG, 52% were asymptomatic. The seroprevalence of SARS-CoV-2 virus infection is the lowest among subjects with blood group O.

. Background: Computer simulations can be briefly described as the use of computers to represent the dynamic responses of a tested system, by observing the behavior of another, artificial, system modeled on basis of the test system. Physical modeling has been practiced unconsciously since the beginning of the human species, that is, from the moment when the human mind began to understand all the complexity of phenomena and things that surrounded it in nature. Objective : The aim of this paper is to analyze the implementation of computer's simulation and modeling for educational agenda. Methods : This article is a review of the entire to use models, modeling and simulation by using compiters and ICT for teaching system in undergraduate, postgraduate and continuing education using published information, as well as professional papers and publications about this topic. The simulation methodology is based on computer science, statistics, numerical mathematics, operational research and artificial intelligence, but today it is sufficiently coherent and developed that it can rightly be called a separate scientific discipline. The system model represents a simplified and idealized (abstract) image of a real system. In other words, a model is a description of a real system with all its characteristics that are relevant from our point of view. Results and Discussion: Application of computer simulations in science: Different simulations are used to meet specific requirements of the scientific field and the problem such as: Numerical simulation of a differential equation, which cannot be solved analytically. This category includes theories dealing with continuous systems, such as phenomena in physical cosmology, fluid dynamics ; Stochastic simulation, used for discrete systems, where changes occur on the basis of probability, and cannot be explained by equations. These include genetic changes, and biochemical and genetic regulatory processes; Modeling of molecules and their behavior for the purpose of creating drugs; CFD–Computational Fluid Dynamics.–computers are used to perform calculations, which describe the behavior of liquids and gases; Blue Brain project; Cognitive architecture and Movement of parasites in the human body. Conclusion: This paper presents explanations and examples of the application of computer simulations in order to solve everyday problems encountered, both in medicine and all other branches of science. Conclusion: Computer simulations are an invaluable blend of nature and technology, and are one of the main sources of hope for understanding and improving the world we live in.