Abstract Pandemics have the potential to cause immense disruption of our everyday activities and has impact on the communities and societies mainly through the restrictions applied to the business activities, services, manufacturing, but also education, transportation etc. Therefore, it is important to create suitable prediction models to establish convenient methods for the planning of the operations and processes to cope with the difficulty. In this paper, the prediction model for the spread of the viral disease in term of the estimated maximal weekly confirmed cases and weekly deaths using the Weibull distribution as a theoretical model for statistical data processing is presented. The theoretical prediction model was applied and confirmed on the data available for the whole world and compared to the situation in Europe and Slovakia for the pandemic waves and can be used for the more precise prediction of the pandemic situation and to enhance planning of the activities and processes regarding to the restrictions applied during the worsening pandemic situation.
{"title":"Prediction Model of the Pandemic Spreading Based on Weibull Distribution","authors":"Ľuboš Guľáš, M. Talian, S. Szabo, B. Semrádová","doi":"10.2478/mspe-2022-0022","DOIUrl":"https://doi.org/10.2478/mspe-2022-0022","url":null,"abstract":"Abstract Pandemics have the potential to cause immense disruption of our everyday activities and has impact on the communities and societies mainly through the restrictions applied to the business activities, services, manufacturing, but also education, transportation etc. Therefore, it is important to create suitable prediction models to establish convenient methods for the planning of the operations and processes to cope with the difficulty. In this paper, the prediction model for the spread of the viral disease in term of the estimated maximal weekly confirmed cases and weekly deaths using the Weibull distribution as a theoretical model for statistical data processing is presented. The theoretical prediction model was applied and confirmed on the data available for the whole world and compared to the situation in Europe and Slovakia for the pandemic waves and can be used for the more precise prediction of the pandemic situation and to enhance planning of the activities and processes regarding to the restrictions applied during the worsening pandemic situation.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"179 - 186"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47094048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The liquidation of the mine is the last and natural stage of mining activity. The activities related to the revitalization and restructuring of hard coal mines are carried out by Spółka Restrukturyzacji Kopalń S.A. (SRK S.A.), as the legal successor of previous mining operations. The implementation of the mine liquidation process has not been the subject of scientific research so far aimed at rationalization and minimization of the costs incurred. Activities leading to the liquidation of the mining plants are the procedural nature, however, the mine liquidation is always a single case which has a result in diversifying the size of outlays. The support for the implementation of the process approach in the issue of mine liquidation in terms of rationalization and minimization of the costs incurred in SRK S.A. was to develop a method of managing the costs of liquidation processes with the software for evaluation of its size. The proposed method signals to the designer that the estimated cost of the process of liquidation of another mining plant deviates from the average values previously worked out by SRK S.A. The range of acceptable values results from the assumed coefficient of data variation.
{"title":"A Multifaceted Method of Analyzing the Amount of Expenditures on Mine Liquidation Processes in SRK S.A.","authors":"Andrzej Chmiela, Janusz Smoliło, Marta Gajdzik","doi":"10.2478/mspe-2022-0016","DOIUrl":"https://doi.org/10.2478/mspe-2022-0016","url":null,"abstract":"Abstract The liquidation of the mine is the last and natural stage of mining activity. The activities related to the revitalization and restructuring of hard coal mines are carried out by Spółka Restrukturyzacji Kopalń S.A. (SRK S.A.), as the legal successor of previous mining operations. The implementation of the mine liquidation process has not been the subject of scientific research so far aimed at rationalization and minimization of the costs incurred. Activities leading to the liquidation of the mining plants are the procedural nature, however, the mine liquidation is always a single case which has a result in diversifying the size of outlays. The support for the implementation of the process approach in the issue of mine liquidation in terms of rationalization and minimization of the costs incurred in SRK S.A. was to develop a method of managing the costs of liquidation processes with the software for evaluation of its size. The proposed method signals to the designer that the estimated cost of the process of liquidation of another mining plant deviates from the average values previously worked out by SRK S.A. The range of acceptable values results from the assumed coefficient of data variation.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"130 - 139"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45368691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.
{"title":"Efficient Practices of Cognitive Technology Application for Smart Manufacturing","authors":"Mariya Sira","doi":"10.2478/mspe-2022-0023","DOIUrl":"https://doi.org/10.2478/mspe-2022-0023","url":null,"abstract":"Abstract Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"187 - 191"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43300082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The article presents the results of measurements of environmental noise accompanying the operation of devices operated in surface facilities of hard coal mines and noise generated in technological processes related to the loading and transport of spoil and materials necessary for production. The research results presented in the article are part of the program of “Consequences of excessive noise in the mining environment of hard coal mines”, the overarching goal of which is to reduce the emission of industrial noise. The research described in the article, carried out using the sampling method, was introduced in order to determine the actual values of noise levels emitted to the external environment from mines and mining plants, as well as to identify the acoustic power levels of devices and processes constituting the main sources of noise in mines. The obtained results showed that mines and mining plants are often not fully aware of the scale of the environmental impact of undesirable noise they emit. Therefore, the current periodic measurements of environmental noise should be replaced with permanent monitoring, which will be beneficial not only for the environment, residents of housing estates located near mines, but also for the mining plants themselves.
{"title":"Research on the Environmental Impact of Industrial Noise Emitted By Mine and Mining Plants","authors":"P. Mocek","doi":"10.2478/mspe-2022-0018","DOIUrl":"https://doi.org/10.2478/mspe-2022-0018","url":null,"abstract":"Abstract The article presents the results of measurements of environmental noise accompanying the operation of devices operated in surface facilities of hard coal mines and noise generated in technological processes related to the loading and transport of spoil and materials necessary for production. The research results presented in the article are part of the program of “Consequences of excessive noise in the mining environment of hard coal mines”, the overarching goal of which is to reduce the emission of industrial noise. The research described in the article, carried out using the sampling method, was introduced in order to determine the actual values of noise levels emitted to the external environment from mines and mining plants, as well as to identify the acoustic power levels of devices and processes constituting the main sources of noise in mines. The obtained results showed that mines and mining plants are often not fully aware of the scale of the environmental impact of undesirable noise they emit. Therefore, the current periodic measurements of environmental noise should be replaced with permanent monitoring, which will be beneficial not only for the environment, residents of housing estates located near mines, but also for the mining plants themselves.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"146 - 155"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46126204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Cognitive technologies and artificial intelligence dynamize the development of the modern world in various spheres. Modern man is not always aware of how often he uses this type of technology, both in everyday life and at work. The conducted literature research has shown a growing interest in the discussed issues. The diagnostic survey allowed the assessment of the level of familiarity with the terms “cognitive technologies” and “artificial intelligence” in the perception of students, doctoral students and employees of a selected university. The auditorium survey technique was used for the research. The research shows that the distance between humans and an intelligent robot is decreasing. A man is inclined to let intelligent robots enter even the most intimate spheres of his life. The article contributes to filling the gap in knowledge about the perception and application of intelligent technologies and the readiness to use them. Furthermore, it sets out further directions for research on this phenomenon.
{"title":"Cognitive Technologies and Artificial Intelligence in Social Perception","authors":"A. Kuzior, A. Kwiliński","doi":"10.2478/mspe-2022-0014","DOIUrl":"https://doi.org/10.2478/mspe-2022-0014","url":null,"abstract":"Abstract Cognitive technologies and artificial intelligence dynamize the development of the modern world in various spheres. Modern man is not always aware of how often he uses this type of technology, both in everyday life and at work. The conducted literature research has shown a growing interest in the discussed issues. The diagnostic survey allowed the assessment of the level of familiarity with the terms “cognitive technologies” and “artificial intelligence” in the perception of students, doctoral students and employees of a selected university. The auditorium survey technique was used for the research. The research shows that the distance between humans and an intelligent robot is decreasing. A man is inclined to let intelligent robots enter even the most intimate spheres of his life. The article contributes to filling the gap in knowledge about the perception and application of intelligent technologies and the readiness to use them. Furthermore, it sets out further directions for research on this phenomenon.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"109 - 115"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42409836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Lean Manufacturing is a popular method to achieve the improvement on productivity, quality, cost, and delivery for organizations. This approach focuses on the systematics to eliminate wastes and non-value added activities from the production. This study mentions the successes and challenges of Vietnam manufacturing enterprises for adapting and transformation for Lean Manufacturing approaching. The aim of this study is to analyze the characteristics of Vietnam enterprises that influencing Lean outcome and present critical factors for overcoming obstacles to successful Lean implementation in Vietnam local enterprises. This paper uses case-based research to collect data through multiple cases that applied Lean to drive the findings. A combination of comprehensive literature review and interview key persons at case study was employed in this study. This study also highlights the strong potential of Lean implementation initiatives in affecting organizational performance improvements.
{"title":"Enterprises Characteristics and Lean Outcome: An Empirical Evidence from Vietnam Manufacturing Enterprises","authors":"Dat-Minh Nguyen, T. Duong","doi":"10.2478/mspe-2022-0013","DOIUrl":"https://doi.org/10.2478/mspe-2022-0013","url":null,"abstract":"Abstract Lean Manufacturing is a popular method to achieve the improvement on productivity, quality, cost, and delivery for organizations. This approach focuses on the systematics to eliminate wastes and non-value added activities from the production. This study mentions the successes and challenges of Vietnam manufacturing enterprises for adapting and transformation for Lean Manufacturing approaching. The aim of this study is to analyze the characteristics of Vietnam enterprises that influencing Lean outcome and present critical factors for overcoming obstacles to successful Lean implementation in Vietnam local enterprises. This paper uses case-based research to collect data through multiple cases that applied Lean to drive the findings. A combination of comprehensive literature review and interview key persons at case study was employed in this study. This study also highlights the strong potential of Lean implementation initiatives in affecting organizational performance improvements.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"98 - 108"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45110898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agnieszka Czerwińska-Lubszczyk, M. Grebski, Dominika Jagoda-Sobalak
Abstract Changes in the environment of industry may affect the expectations related to the competencies of the employees. Changes to the education system and curricula may be required. The main purpose of this research paper was to analyze the expectations of the industries related to competencies of graduates of engineering programs. The paper presents preliminary research. The survey was conducted at twenty-eight companies within the area of technical university in Poland. Based on the survey, data was collected related to the level of preparation of engineering graduates as well as the industry expectations related to the preparation of engineering graduates. This was done for the purpose of determining the gap between industry expectations and the level of preparation of the engineering graduates. Enterprises expect a wide range of competences from engineering graduates. The most important areas of competence included soft competences and practical knowledge and skills. The biggest gap between industry expectation and graduate’s preparation are the soft skills. Recommendations were suggested which would be incorporated in the engineering curriculum for the purpose of continuous quality improvement.
{"title":"Competencies of Graduates – An Industry Expectation","authors":"Agnieszka Czerwińska-Lubszczyk, M. Grebski, Dominika Jagoda-Sobalak","doi":"10.2478/mspe-2022-0021","DOIUrl":"https://doi.org/10.2478/mspe-2022-0021","url":null,"abstract":"Abstract Changes in the environment of industry may affect the expectations related to the competencies of the employees. Changes to the education system and curricula may be required. The main purpose of this research paper was to analyze the expectations of the industries related to competencies of graduates of engineering programs. The paper presents preliminary research. The survey was conducted at twenty-eight companies within the area of technical university in Poland. Based on the survey, data was collected related to the level of preparation of engineering graduates as well as the industry expectations related to the preparation of engineering graduates. This was done for the purpose of determining the gap between industry expectations and the level of preparation of the engineering graduates. Enterprises expect a wide range of competences from engineering graduates. The most important areas of competence included soft competences and practical knowledge and skills. The biggest gap between industry expectation and graduate’s preparation are the soft skills. Recommendations were suggested which would be incorporated in the engineering curriculum for the purpose of continuous quality improvement.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"172 - 178"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47163497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The paper focuses on Customer Relationship Management (CRM), based on latest national and international studies of the subject. The goal of the paper is to identify how the selected companies that operate in Slovakia understand the concept of CRM and to what degree they actively use it. Thereafter authors compare different approaches to management of company’s relationship with customers. They wanted to focus on a deeper analysis and decided to use in our orientation and evaluative research also a different approach, such as collaboration with international experts. In the paper the authors identify level of use of social CRM in selected companies in Slovakia and based on expert opinions of members of an international group they design an optimal model of CRM.
{"title":"Differentiated Customer Relationship Management – A Tool for Increasing Enterprise Competitiveness","authors":"H. Čierna, E. Sujová","doi":"10.2478/mspe-2022-0020","DOIUrl":"https://doi.org/10.2478/mspe-2022-0020","url":null,"abstract":"Abstract The paper focuses on Customer Relationship Management (CRM), based on latest national and international studies of the subject. The goal of the paper is to identify how the selected companies that operate in Slovakia understand the concept of CRM and to what degree they actively use it. Thereafter authors compare different approaches to management of company’s relationship with customers. They wanted to focus on a deeper analysis and decided to use in our orientation and evaluative research also a different approach, such as collaboration with international experts. In the paper the authors identify level of use of social CRM in selected companies in Slovakia and based on expert opinions of members of an international group they design an optimal model of CRM.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"163 - 171"},"PeriodicalIF":1.5,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48469499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The publication is part of a new trend in popularizing Industry 4.0. The primary objective is to present the key directions in the transformation of the steel industry from steelworks 3.0 to steelworks 4.0. The work was based on a literature review and data analysis on steel 4.0 technologies. The analytical part of the thesis was prepared on the basis of the Polish steel sector (sections from the classification of economic activities: 24 and 25). On the basis of the literature study, a thesis was formulated about the need to digitize processes in enterprises heading for Industry 4.0. The application of selected technologies (ICT) in the Polish steel sector (percentage of companies using the analyzed technologies in the total number of enterprises in the sector) constitutes the scope of the research. Further research will be carried out in the area of digitization development in steel Industry toward steel 4.0.
{"title":"Key Directions in Changes from Steelworks 3.0 to Steelworks 4.0 with Analysis of Selected Technologies of Digitalizing the Steel Industry in Poland","authors":"B. Gajdzik","doi":"10.2478/mspe-2022-0006","DOIUrl":"https://doi.org/10.2478/mspe-2022-0006","url":null,"abstract":"Abstract The publication is part of a new trend in popularizing Industry 4.0. The primary objective is to present the key directions in the transformation of the steel industry from steelworks 3.0 to steelworks 4.0. The work was based on a literature review and data analysis on steel 4.0 technologies. The analytical part of the thesis was prepared on the basis of the Polish steel sector (sections from the classification of economic activities: 24 and 25). On the basis of the literature study, a thesis was formulated about the need to digitize processes in enterprises heading for Industry 4.0. The application of selected technologies (ICT) in the Polish steel sector (percentage of companies using the analyzed technologies in the total number of enterprises in the sector) constitutes the scope of the research. Further research will be carried out in the area of digitization development in steel Industry toward steel 4.0.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"46 - 53"},"PeriodicalIF":1.5,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43381118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.
{"title":"Optimization of Innovation Features in Mobile-Based Attendance Application","authors":"Tiya Katrilia, P. W. Anggoro, P.K. Dewa Sp.","doi":"10.2478/mspe-2022-0003","DOIUrl":"https://doi.org/10.2478/mspe-2022-0003","url":null,"abstract":"Abstract Improved Human Resources Performance can be realized in the employee’s absence. The sophistication of technology to accommodate the absence is the use of a Mobile-Based Attendance Application. Attendance can be used to measure employee performance. One of the measuring tools in measuring performance is the Key Performance Indicator (KPI). KPI values can be obtained from the Mobile-based Attendance Application, as currently implemented by an IT Company. But in its development, there is a shortage on the application features of Daily Attendance, Leave, Report Recaps Attendance and Report Recaps Leave. The value engineering method with the Analytical Hierarchy Process is used in this paper to obtain prioritized alternatives in the development of application feature updates. The results of the research show that the alternative with the largest percentage is owned by Alternative IV (45.6%). These results indicate that this alternative can be used as a recommendation for renewal of attendance application features on IT Company. Alternative IV shows optimal results such as the realization of application feature requirements for users, consumption of fewer workdays for 1-2 days, low costs, easy-to-understand feature design, and uncomplicated programming techniques.","PeriodicalId":44097,"journal":{"name":"Management Systems in Production Engineering","volume":"30 1","pages":"18 - 26"},"PeriodicalIF":1.5,"publicationDate":"2022-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46232236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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