Simulation Platform for Fault Diagnosis

The previous chapters have described the mathematical principles and algorithms of multivariate statistical methods, as well as the monitoring processes when used for fault diagnosis. In order to validate the effectiveness of data-driven multivariate statistical analysis methods in the field of fault diagnosis, it is necessary to conduct the corresponding fault monitoring experiments. Therefore this chapter introduces two kinds of simulation platform, Tennessee Eastman (TE) process simulation system and fed-batch Penicillin Fermentation Process simulation system. They are widely used as test platforms for the process monitoring, fault classification, and identification of industrial process. The related experiments based on PCA, CCA, PLS, and FDA are completed on the TE simulation platforms.

El Fenómeno del votante ucraniano moderno: esencia, peculiaridades y tendencias de su desarrollo

The article reveals the peculiarities of the modern Ukrainian voter as a special phenomenon in political science. The main objective of the research is to form a portrait of the modern voter based on data from some sociological surveys, as well as to address the emergence and formation of the image of a desirable candidate for the voter. Historical and statistical analysis methods as well as the comparison method were used. In the results they emphasize that in the personality of the voter we will understand a subject who makes a conscious choice of that political figure that he (the voter) considers capable of solving urgent problems of life, both State and of his person. In this regard, the focus is on revealing the moods in modern Ukrainian society, to describe the image of "an ideal candidate" in the eyes of a modern voter. Special attention was paid to personality as an integral element of the socio-political space and the worldview of the political and electoral sphere. It is concluded that the historical context is very important in the formation of the Ukrainian political environment, which makes us glimpse analytically the peculiarities of the meaning of the act of suffrage.

NEW PRODUCT DEVELOPMENT OPPORTUNITIES IN REZEKNE

The tourism industry was one of the fastest growing industries in Latvia until the pandemic was declared in 2020, which brought the entire industry to a halt. Before the pandemic, travel trends were already moving towards the type of experience offered by hostels, and consumer demand had grown in the past years. Moreover, the industry data show that the number of travellers who use hostels is growing. There are several lodging opportunities in Rezekne, but there is no economical option, which would be a hostel. The research aim is to study the theoretical aspects of a new product and analyse the opportunities for the creation of a hostel – a new tourism product in Rezekne. The methods used in the research are monographic, synthesis, statistical analysis methods, and a survey. The research allowed making recommendations for the creation of a new tourism product – a hostel – in Rezekne. The results of the research and survey showed that hostel-level accommodation is needed in Rezekne.

Determining operating variables that impact internal fiber bonding using Wedge statistical analysis methods

In this study, Wedge statistical analysis tools were used to collect, collate, clean up, plot, and analyze several years of operational data from a commercial paper machine. The z-direction tensile (ZDT) and Scott Bond tests were chosen as representative of fiber bond strength. After analyzing thousands of operational parameters, the ones with the most significant impact upon ZDT involved starch application method, starch penetration, and the amount of starch applied. Scott bond was found to be significantly impacted by formation and refining. Final calendering of the paper web has also shown an impact on internal fiber bonding.

Investigating course choice motivations in university environments

Recommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation exist, studies on the students’ course selection motivations in universities are limited. This study investigates the factors that contribute to students’ choice when selecting courses in universities to better understand student perceptions, attitudes, and needs and leverage data-driven approaches for recommending and explaining the recommendations in university environments. A qualitative interview for university students (N = 10) comprised of open-ended questions as well as a questionnaire for students (N = 81) was conducted, aiming to investigate the main reasons behind their choices. The results of this study show that students highly value the course contents and the benefits of the course towards their future careers. Furthermore, students are influenced by other reasons such as the possibility of obtaining a higher grade, the popularity of professors, and recommendations from peers. Next, we extract the main categories of students’ motivations and analyzed the questionnaire data by employing statistical analysis methods as well as the k-means clustering algorithm to identify different types of students in terms of course selection. Based on our findings, we discuss implications for designing more personalized course recommendation systems.

Leaders’ support for using online symptom checkers in Finnish primary care: Survey study

Online symptom checkers (SCs) are eHealth solutions that offer healthcare organizations the possibility to empower their patients to independently assess their symptoms. The successful implementation of eHealth solutions, such as SCs, requires a supportive organizational culture and leadership. However, there is limited knowledge about the factors associated with leaders’ support for the use of SCs. The aim of the study was to identify the factors associated to primary care leaders’ support for SCs in triage and their experiences of the benefits and challenges related to the use of SCs. An online survey was used to collect data from 84 Finnish primary care leaders. The data were analyzed using statistical analysis methods and content analysis. Vision clarity, perceiving efficiency improvements, and considering the service to be beneficial for patients were associated with leaders’ support for the service (β ranging from 0.41 to 0.44, p < 0.001). Leaders’ support for the service was also associated with how well the leaders provided information about the service to their subordinates (β =0.22, p < 0.048). SCs present slightly more challenges than benefits regarding health professionals’ work. The developers of SCs should focus more on features that decrease health professionals’ workload as well as how the solution can benefit patients.

EFFECTS OF EXPERIMENTAL METHODOLOGY AIMED AT INCREASING THE FORCE OF STRAIGHT REAR-HAND PUNCH IN KARATE

This article presents a methodology aimed at increasing the force of the rear-hand straight punch at the torso-level (gyaku zuki chudan). To accomplish the tasks of the survey, a video-computerized system was used to record and analyze the parameters of the punches performed by the participants. The results concerning the force of the torso-level rear-hand straight punch were registered in identical ways for each of the participants in order to make sure that the survey was performed under uniform conditions. The input data was processed by means of kinematics analysis software. To prove the credibility of the data registered the necessary statistical analysis methods were applied. If more and more coaches start using modern tools and methods to develop the sports and technical skills of their entrusted athletes, this will increase the quality of the karate training process.

PENGARUH PERPUTARAN MODAL KERJA, DAN PROFITABILITAS TERHADAP KINERJA KEUANGAN PADA BMT SYARIAH DI JALAN VETERAN YOGYAKARTA

The purpose of this study was to examine: (1) the partial effect of working capital turnover on financial performance, (2) the partial effect of profitability on financial performance, and (3) the simultaneous effect of working capital turnover and profitability on financial performance at BMT Syariah in Yogyakarta Veterans Street. This research is related to the use of quantitative methods, descriptive inference and statistical analysis methods. The data collection technique used the quarterly financial reports of BMT Syariah on Jalan Veteran Yogyakarta which was released from January 2015 to December 2019. The data analysis technique used multiple regression analysis. The results showed that there was (1) partial effect of working capital turnover on financial performance. (2) There is a partial effect of profitability on financial performance. (3) There is a simultaneous effect of working capital turnover and profitability on financial performance.

Thinking styles as predictors of psychological readiness of students for innovative activities

The paper deals with the problem of thinking styles and creativity as predictors of students psychological readiness for innovation. The aim of the study was to identify the influence of students thinking styles on their psychological readiness for innovation. The study involved 100 students of the Don State Technical University, aged from 17 to 27 years. The research methods were the survey method, statistical analysis methods (descriptive statistics, multiple regression analysis (step-by-step)). The following methods were used as psychodiagnostic tools: the questionnaire Psychological readiness for innovation (V.E. Klochko, O.M. Krasnoryadtseva); the method of measuring the style of thinking (A.K. Belousova); the method of determining the type of thinking of J. Bruner in the modification of G.V. Rezapkina; the questionnaire Styles of thinking (R. Bramson, A. Harrison, adapted by A. Alekseev, L. Gromova). The study found that students psychological readiness for innovation is influenced by thinking styles and creativity. Predictors of psychological readiness for innovation are creativity, realistic and critical thinking styles. The preference for activities that require innovation is influenced by creativity, initiative, idealistic and realistic thinking styles. Predictors of readiness for change are creativity and critical thinking styles. The practical significance of the research lies in the possibility of applying in the educational process the knowledge about the influence of students thinking styles and creativity on their psychological readiness for innovation.