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Bakalaura darba tēma ir “Dzīves kvalitāte veselības aprūpes nozares darbiniekiem pandēmijas laikā”. Bakalaura darba aktualitāte ir saistīta ar veselības aprūpes nozares speciālistu dzīves kvalitātes izmaiņām pandēmijas laikā, ko sekmē pārslodze, izdegšana, emocionālā līdzsvara traucējumi, psiholoģiskā stāvokļa izmaiņas, stress un spriedze. Līdz ar to pētījuma ietvaros darba autore vēlējās noskaidrot, cik ļoti pandēmijas apstākļi, ierobežojumi, kā arī darba vides izmaiņas ir ietekmējušas veselības aprūpes nozares darbinieku dzīves kvalitāti. Pētījuma mērķis ir: Novērtēt veselības aprūpes nozares darbinieku dzīves kvalitāti pandēmijas laikā. Pētījuma uzdevumi: Apkopot zinātnisko literatūru par vajadzību teorijām un dzīves kvalitāti, izstrādāt aptaujas anketu, veikt pētījumu, apkopot iegūtos rezultātus, izdarīt secinājumus, balstoties uz iegūtajiem rezultātiem. Pētījuma jautājums: Kāda ir veselības aprūpes darbinieku dzīves kvalitāte pandēmijas laikā? Izmantota kvantitatīva pētījuma metode, pielietotais pētījuma instruments – anketa. Pētījumā iegūtie rezultāti atbild uz jautājumu un palīdz sasniegt darba mērķi. Atslēgvārdi: kvalitāte, veselības aprūpe, darbinieki, pandēmija, The theme of the bachelor's thesis is "Quality of life for healthcare workers during a pandemic". The topicality of the bachelor's thesis is related to changes in the quality of life of health care professionals during a pandemic, which is promoted by overload, burnout, emotional imbalance, changes in psychological state, stress and tension. Thus, within the framework of the study, the author wanted to find out how much the pandemic conditions, restrictions, as well as changes in the work environment have affected the quality of life of healthcare workers. The goal of the research work is: To assess the quality of life of health care workers during a pandemic. Tasks of the research: To compile scientific literature on theories of needs and quality of life, to develop a questionnaire, to conduct research, to summarize the obtained results, to draw conclusions based on the obtained results. Research question: What is the quality of life of healthcare workers during a pandemic? Quantitative research method was used, applied research tool - questionnaire. The results obtained in the research answer the question and help to achieve the goal of the work. Keywords: quality, healthcare, workers, pandemic

Biological processes are complex study objects due to their dynamic nature and structural diversity of living organisms. To study dynamic processes statistically, numerous experiments with multiple observations have to be performed, and data have to be analyzed and evaluated. Owing to great technological advances, gigabytes of data are being acquired both in research and industry. Slow and subjective manual analyses are not sufficient anymore, and automated evaluation methods are required. The distribution of biomolecules provides valuable information on a current biological state. The distribution of biomolecules depends on and is influenced by functions of biomolecules, and may thus be used to detect abnormalities. The relatively young research field extit{toponomics} describes the laws of spatial arrangement of molecules. Several evaluation methods have previously been developed, automatized and standardized. However, no standard evaluation methods have been reported to quantitatively analyze such an important biological process like translocation of biomolecules. Translocation processes are vital for living organisms. For instance, substance inclusion into a cell or exclusion from it represent a translocation. Furthermore, signaling biomolecules translocate from the cytoplasm across the nuclear membrane into the nucleus to influence gene and protein expression. Investigating translocation processes may help to understand complex biological functions. It may also be used to analyze signaling events, or may even be employed for diagnostics and therapy monitoring. Manual and case-specific methods for quantitative translocation analysis are known, but fail to be generally applicable. Therefore, I have developed a novel generic automated approach. The method is based on microscopy images of biological samples. I have defined a generic method to quantitatively express distribution of biomolecules in numeric descriptors. Herewith, changes in distribution may be analyzed using different biological samples. Thus, the samples analyzed do not necessarily have to belong to a time series. Furthermore, not only cell cultures, but also tissue samples can be used for the analysis. Evaluations of cell cultures are simpler due to homogeneity and spatial separation of individual objects. However, structural polarity of the cells can be seen only in tissues. I have developed two workflows based on numeric descriptors for the distribution of bio-ewline molecules. The first workflow uses structure detection in images to localize the objects for evaluation. The second workflow avoids this complex operation by a structure-independent information extraction strategy. Both workflows are generic and may be applied to quantify a wide range of translocation processes.