The paper aims to identify key aspects of the essence of eHealth (digital hospitals, clinical information systems, computerized medical records, telemedicine) as a priority European policy and how it is reflected in the national legislation of Bulgaria. In this sense, the aim of the study is first to highlight the typical European trends in the development of eHealth through continuous and well-established processes of application of digital technology to healthcare and their incorporation into the Community policies as a legal framework, and second to analyze national processes and stages of digitalization of healthcare and the health insurance system in terms of the creation of functioning and adequate eHealth. Based on the analysis performed, the authors have drawn conclusions about trends in and legal effects of the regulatory framework related to the efficiency of healthcare and the effective management of the health insurance systems.

In the article, a comparative analysis is performed regarding the accuracy parameter in determining the degree of self-similarity of fractal processes between the following methods: Variance-Time plot, Rescaled Range (R/S), Wavelet-based, Detrended Fluctuation Analysis (DFA) and Multifractal Detrended Fluctuation Analysis (MFDFA). To evaluate the methods, fractal processes based of Fractional Gaussian Noise were simulated and the dependence between the length of the simulated process and the degree of self-similarity was investigated by calculating the Hurst exponent (H > 0.5). It was found that the Wavelet-based, DFA and MFDFA methods, with a process length greater than 2¹⁴ points, have a relative error of the Hurst exponent is less than 1%. A methodology for the Wavelet-based method related to determining the size of the scale and the wavelet algorithm was proposed, and it was investigated in terms of the exact determination of the Hurst exponent of two algorithms: Haar and Daubechies with different number of coefficients and different values of the scale. Based on the analysis, it was determined that the Daubechies algorithm with 10 coefficients and scale (i = 2, j = 10) has a relative error of less than 0.5%. The three most accurate methods are applied to the study of real cardiac signals of two groups of people: healthy and unhealthy (arrhythmia) subjects. The results of the statistical analysis, using the t-test, show that the proposed methods can distinguish the two studied groups and can be used for diagnostic purposes.

Hindu Apocalyptic Notions, Cultural Discourses, and Climate Change was published in The Apocalyptic Dimensions of Climate Change on page 81.

The article presents a software information platform for storing, processing, researching, and protecting cardiology information obtained during the study of patients with various cardiovascular diseases and a healthy control group. The information platform contains non-confidential data about the research subjects, which is freely available; as well as a confidential part; cardiological data, containing information about the biomedical tests carried out; as well as the parametric and graphical results of the mathematical analyzes obtained based on the registered cardiac data. The created integrated information platform can be used by cardiology specialists to evaluate the results of cardiac examinations and assist cardiologists in making a correct diagnosis and prescribing effective treatment. The platform is a tool with a user-friendly interface and can be useful for cardiac data researchers as well.

Stress fractures (SF) are common injuries in athletes caused by overuse and repetitive activity. The prevalence and risk factors for SF in male athletes are not well documented as they are assumed to be more common in female athletes. Our study was aimed at establishing the prevalence of SF among male athletes and analyzing the selected risk factors for their occurrence. Ninety-three randomly selected volunteer male athletes from different sports aged 19.2±2.8 years participated in this cross-sectional study. The participants provided information about their demographic data, history of SF, and lifestyle risk factors and completed the Eating attitude test (EAT-26) for identifying eating disorders risk. Crude odds ratios (OR) of the groups with and without a history of SF were calculated to assess the association of SF with the studied factors. A total of 23 (24.7%) of the athletes reported at least one SF in the past, and 23.7% of them have had two or more SF. Most of the injuries (69.6%) were located in the lower extremity, and 60% were in the foot and ankle. Participation in competitions and weight loss of more than 10 kg in the past were identified as the only significant factors associated with SF incidents in male athletes (OR 24.8, 95% CI: 1.4-425.4; OR 153.3, 95% CI: 8.5-2770.6, respectively). These results suggest that engagement in competitive sports, which is associated with higher training volume and extreme weight loss practices, should be considered as a factor for increased risk of SF in male athletes.

Video-learning (in the form of video films), when properly integrated into the curriculum, can make learning much more engaging and successful for medical and healthcare students. The aim of the present study was to compare the efficacy of learning practical skills (Holter placement) in Nursing students. The students were divided into two groups of 8 students each. The first group was given an algorithm on paper, and the second group - a specially made video film. The results showed that the acquisition of this medical manipulation was more effective in the students having access to the video film. 87.5% of the students who watched the film did well on the post-test, compared to 50% of the second group (P less than 0.05). Students learning through a video lesson show higher satisfaction and retention of knowledge and skills. The results of the current study found that video triggers can be used effectively to capture learners' attention and deliver a visual lesson. However, threshold motivation is required for active learning to be successful.