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3196 research outputs found
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Acne prevalence, awareness and perception among young population /
No full textBackground. Acne is a very common dermatological condition, very few studies have been done regarding the knowledge, beliefs, and perceptions about the various treatment modalities and causative factors (nutrition, medication, cosmetics, pollutants, psychological and lifestyle factors and etc.) of acne. Methods. A quantitative written survey was performed. Survey sample –451 young people 18-34 years old. Data analysis was performed using SPSS 26.0, calculated percentage frequencies, mean and standard deviation (SD), Pearson’s Chi Square test was used to detect statisticallysignificant differences and correlation analysis was performed using the Spearman correlation. Results. The study shows that acne affects 49.9% of the surveyed young people. The prevalence of acne depends on the type of skin, tendency to have skin imperfections and genetic factors. Awareness and perception of skin care, factors affecting the occurrence of acne, and treatments used do not depend on the age of respondents. Conclusions. Young people lack professional knowledge of acne, skin care, and acne-provoking factors. They should take care of themselves, choose the right information from reliable sources and seek the help of specialists. Identifying the negative exogenous and endogenous factors and thus reducing their impact are mandatory for an adequate acne management
The social-psychological factors influencing women-prisoners’ feeling of loneliness /
No full textThe article presents the study on the factors influencing the emergence of loneliness in female prisoners. The results obtained indicate that loneliness is caused not only by subjective factors, such as personal traits, needs, motives, but also by an objective factor – the socially closed structure of detention places and the limited environment there. The main subjective reasons for female prisoners’ feelings of loneliness are despair, fears, depression and aggression, caused by their inability to satisfy their needs for communication, safety, personal development and goal achievement. The feeling of loneliness emerges because of the influence of the following factors: personal traits, insufficient interpersonal relationships, fear of rejection, subjective and objective causes
Embedding of a blade-element analytical model into the shyfem marine circulation code to predict the performance of cross-flow turbines /
No full textOur aim was to embed a 2D analytical model of a cross-flow tidal turbine inside the open-source SHYFEM marine circulation code. Other studies on the environmental impact of Tidal Energy Converters use marine circulation codes with simplified approaches: performance coefficients are fixed a priori regardless of the operating conditions and turbine geometrical parameters, and usually, the computational grid is so coarse that the device occupies one or few cells. In this work, a hybrid analytical computational fluid dynamic model based on Blade Element Momentum theory is implemented: since the turbine blades are not present in the grid, the flow is slowed down by means of bottom frictions applied to the seabed corresponding to forces equal and opposite to those that the blades would experience during their rotation. This simplified approach allowed reproducing the turbine behavior for both mechanical power generation and the turbine effect on the surrounding flow field. Moreover, the model was able to predict the interaction between the turbines belonging to a small cluster with hugely shorter calculation time compared to pure Computational Fluid Dynamics
Significance of children's health-related quality of life indicators for family-focused public health practice /
No full textRecently, health-related quality of life has become one of the main underlying assumptions for public health practice, especially for gaining insights into highly complex health problems that are mainly determined by social factors. Children’s health is highly determined by social factors, especially those in the family environment. We follow a newly emerging trend to investigate health-related quality of life within a family-centered social system instead of individualistic approach; therefore, we chose KIDSCREEN52 questionnaire. We consider KIDSCREEN52 questionnaire significant for public health practice
Lithuanian Latvian iconographic sources in Šiauliai “Aušra” museum: Daunorava photo collection.
No full textThe publication presents a collection of photographs from the end of the 19th century by Daunorava Latvians – Dundurnieki (Joniškis parish) collected in 2016–2019 (1,270 items). Methods used in the research were: interview, genealogical, source and literature analysis, typological, and comparative. It is a valuable source of local history in terms of quantity and content to study the anthropology of Latvians living in the northern part of Lithuania, the genealogy of individual families, their daily lives, customs, holidays, education, social and economic activities, clothing, homesteads, huts or their details and more
Velykos Mažojoje Lietuvoje: tradicijų tęstinumas ir jų kaita.
No full textThe goal of the article is to examine chronologically the specific nature of the Easter holiday in Lithuania Minor, to determine structural and functional changes in calendar traditions and rites. The main task is to differentiate and characterise models of the Lietuvininkai Easter holiday: archaic (from the first mention of holidays to the end of the 19th century); the end of the 19th century to the 20th; and the present time (since 1990)
The notion of arts in STEAM concept: a semi-systematic literature review.
No full textSTEAM education has been developed in search of ways how to prepare students to live and build their lives in the knowledge society of the future. The paper, by applying to the methodology of a semi-systematic literature review, aims to reveal the notion of arts in the STEAM concept. Thirty-three articles published from of 2010 to 2019 were selected for the performance of a thematic analysis of the notion of arts in the concept of STEAM education in five aspects: Purpose of Arts, Notion and Inclusion of Arts, Arts Integration Process and Results, Arts Integration Models, and Arts Integration Contexts. A review of the literature demonstrated that the inclusion of arts in STEAM education is ambiguous because of the diversity of both the notions of the arts and interpretations of the purpose of arts integration. Arts in STEAM education are associated with the improvement of students’ academic results, the development of students’ creativity, critical thinking, and cooperation skills, and thus highlighting the instrumental significance of arts education. The instrumental and internal concepts of the purpose of the arts are to be related to the equivalent and arts-supplemented integrative STEAM models. Therefore, research with the aim at deepening the notion of interdisciplinary integration in terms of diversity of the inclusion of the arts, substantiating the effectiveness of arts-integrating STEAM programmes with the identification of the process and result evaluation variables, and analysing specific cases of the STEAM programme implementation through revealing forms and ways of arts inclusion are especially relevant
Design and development of software for non-stationary time series analysis.
No full textWhen processing non-stationary time series data by statistical methods, they must be stationarized. However, hereby not only important data features are lost, but also the likelihood of forecast uncertainty is underestimated. Recurrent neural networks can analyze non-stationary data, but it is not clear which of the three most commonly used networks — SRNN, LSTM, or GRU — is best suited for each specific case of non-stationary time series data. This master’s thesis describes the design and development of software for nonstationary time series analysis using three types of recurrent neural networks, presents the software and the results of the study of 50 non-stationary time series data sets. Hypothesis: SRNN, LSTM and GRU recurrent neural networks predict nonstationary time series data without their stationaryization.The problem of the work: how to forecast non-stationary time series data without stationarization using three types of recurrent neural networks. Object of the work: design and development of software for non-stationary time series analysis. Aim of the work: to design and to program software for estimating the accuracy of non-stationary time series prediction when using three types of neural networks. Tasks of the work: to formulate requirements for software for non-stationary time series analysis and to define its architecture; to write a code for software for non-stationary time series analysis; perform a computer experiment with the data of the selected data sets using the selected software settings. Results: Using the default neural network hyperparameters, the financial data analyzed are most accurately predicted by the LSTM neural network and worst by the SRNN. Mean sMAPE values using the default hyperparameters are LSTM: 0.53 (53%), GRU: 0.77 (77%), SRNN: 1.43 (143%). By adjusting the neural set hyperparameters individually for each data set, the prediction accuracy can be improved by 70% - 90%. Mean sMAPE values using individually determined hyperparameters are LSTM: 0.16 (16%), GRU: 0.06 (6%), SRNN: 0.28 (28%). The best results for all three neural networks were obtained by changing the following hyperparameters: using the adagrad optimization function in combination with shuffle = true, increasing the number of epochs to 100 or 200 (Epochs = 200), and reducing the packet size to 10-20 (Batch size = 20). Changing the packet size to a multiple of 5 improved the prediction of the analyzed financial data because the neural network weight matrix is updated by providing the neural network with the number of data samples described by the batch size hyperparameter and all data used for analysis were collected on weekdays
Culturally responsive teaching of immigrants in adult education: a case study in Sweden /
No full textAdult education has been criticized for its lack of focus on sociocultural aspects of individual learners, largely ignoring the importance of cultural identity to the learning process. The article’s aim is to investigate culturally responsive teaching of immigrants in adult education, theoretically and empirically underpinning the implementation of a case study for the elaboration of implications on culturally responsive teaching of immigrants in adult education. Research methods include theoretical and empirical methods. Theoretical methods imply analysis of theoretical sources and theoretical modelling. The empirical study was based on a case study. The sample was composed of 20 adult learners and three teachers of Swedish in May 2019 and February 2020. The case study was implemented at Folkuniversitetet, Kristianstad, Sweden. The theoretical findings allow defining religion and human comfort conditions such as thermal comfort as the dimensions of cultural norms and values to be addressed by culturally responsive teaching of immigrants. The findings of the empirical study allow drawing the conclusion on the necessity of a personalised approach to an adult learner in culturally responsive teaching of immigrants. The novelty of the present work is revealed in the implications on culturally responsive teaching of immigrants. Further research is proposed
