Pub Date : 2023-11-24DOI: 10.11648/j.ajmse.20230806.11
Jiaqin Wang, Shengmei Wu, Gong Chen, Xiaodan Wang
{"title":"Effect of Nursing Management in General Wards of General Hospitals Under Novel Coronavirus Pneumonia Epidemic","authors":"Jiaqin Wang, Shengmei Wu, Gong Chen, Xiaodan Wang","doi":"10.11648/j.ajmse.20230806.11","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230806.11","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240542","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}
Pub Date : 2023-11-08DOI: 10.11648/j.ajmse.20230805.12
Luqing Zhang
{"title":"Research on China’s Standardization Governance Model in the Era of Digital Economy","authors":"Luqing Zhang","doi":"10.11648/j.ajmse.20230805.12","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230805.12","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139282817","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}
Pub Date : 2023-07-21DOI: 10.11648/j.ajmse.20230804.12
Saroj Kumar Timalsina
{"title":"Indian Meddeling in Nepal's Political and Administrative Activities","authors":"Saroj Kumar Timalsina","doi":"10.11648/j.ajmse.20230804.12","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230804.12","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134267619","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}
Pub Date : 2023-07-17DOI: 10.11648/j.ajmse.20230804.11
H. Lei, Bai Yongchun, Cao Jing, Zhu Jianyou, Zhang Yiyuan, Wu Yushuai, Wu Longliang
{"title":"Research on Full Process Engineering Consulting Based on Digitalization","authors":"H. Lei, Bai Yongchun, Cao Jing, Zhu Jianyou, Zhang Yiyuan, Wu Yushuai, Wu Longliang","doi":"10.11648/j.ajmse.20230804.11","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230804.11","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128580625","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}
Pub Date : 2023-06-14DOI: 10.11648/j.ajmse.20230803.13
Kwon Eun Ju, Park Youngil
{"title":"An Exploratory Study on the Success Factors of Corporate Foresight – Based on the Case of Korea Material Companies","authors":"Kwon Eun Ju, Park Youngil","doi":"10.11648/j.ajmse.20230803.13","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230803.13","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139370059","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}
Pub Date : 2023-05-29DOI: 10.11648/j.ajmse.20230803.12
Shunshun Wang, Changshun Yan, Shao Yong
: With the continuous development of urban traffic and the acceleration of urbanization, traffic accidents have become an important issue for urban safety and social stability. In order to prevent and reduce the occurrence of traffic accidents, traffic accident prediction technology has gradually become a hot spot for research. This paper analyzes road traffic accident prediction techniques from articles included in relevant English journals and provides a detailed introduction to the road traffic accident prediction techniques that are already in existence. This paper introduces the current status of research on traffic accident prediction techniques, including traditional statistical analysis methods, machine learning methods, neural network methods, time series analysis methods and techniques based on spatio-temporal data mining, and analyses the advantages and disadvantages of each road traffic accident prediction method. These methods are able to analyse the influencing factors of traffic accidents, build prediction models, improve prediction accuracy and provide strong support for road traffic accident prevention effects for urban traffic safety. Finally, the main difficulties faced in road traffic accident prediction and the future development trend of road traffic accident prediction is discussed. The work done in this paper can provide necessary theoretical support for relevant researchers and save the time needed for literature review.
{"title":"A Review of Road Traffic Accident Prediction Methods","authors":"Shunshun Wang, Changshun Yan, Shao Yong","doi":"10.11648/j.ajmse.20230803.12","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230803.12","url":null,"abstract":": With the continuous development of urban traffic and the acceleration of urbanization, traffic accidents have become an important issue for urban safety and social stability. In order to prevent and reduce the occurrence of traffic accidents, traffic accident prediction technology has gradually become a hot spot for research. This paper analyzes road traffic accident prediction techniques from articles included in relevant English journals and provides a detailed introduction to the road traffic accident prediction techniques that are already in existence. This paper introduces the current status of research on traffic accident prediction techniques, including traditional statistical analysis methods, machine learning methods, neural network methods, time series analysis methods and techniques based on spatio-temporal data mining, and analyses the advantages and disadvantages of each road traffic accident prediction method. These methods are able to analyse the influencing factors of traffic accidents, build prediction models, improve prediction accuracy and provide strong support for road traffic accident prevention effects for urban traffic safety. Finally, the main difficulties faced in road traffic accident prediction and the future development trend of road traffic accident prediction is discussed. The work done in this paper can provide necessary theoretical support for relevant researchers and save the time needed for literature review.","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130945616","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}
Pub Date : 2023-05-10DOI: 10.11648/j.ajmse.20230803.11
A. Sen
: The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity
{"title":"K(OIM) - A New Model of Creativity Based on the Concept of Knowledge Clusters","authors":"A. Sen","doi":"10.11648/j.ajmse.20230803.11","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230803.11","url":null,"abstract":": The World Economic Forum states that by 2025, the top five skills employers will be looking for are innovation, complex problem-solving, critical thinking, creativity","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986463","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}
Pub Date : 2023-04-23DOI: 10.11648/j.ajmse.20230802.13
Yehulum Belay, Deekshith Jain
{"title":"Assessing the Effects of Price Escalation on Building Construction Projects in Adama, Ethiopia","authors":"Yehulum Belay, Deekshith Jain","doi":"10.11648/j.ajmse.20230802.13","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230802.13","url":null,"abstract":"","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"13 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123427065","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}
Pub Date : 2023-03-31DOI: 10.11648/j.ajmse.20230802.11
Faruq Umar Quadri
: This study examined employment potentials of indigenous micro-enterprises in Nigeria as an alternative approach to tackling the menace of unemployment in Nigeria. Nigeria is a country with a relatively young population, with a median age of 18 years, which is lower than the African and global averages of 20 and 31 years respectively. A youthful population suggests a strong labor force; with the labor force population of around 70 million in 2020. Providing enough productive jobs for this young demographic (aged 15-29 years) and rising labor force is a challenge; more than 30 million young Nigerians were reported to be unemployed in 2021. As a result of this rapidly growing labor force, job creation is frequently on the top burners of policymakers and governments' development agendas. The dataset employed in the study is a secondary survey data exclusively from the TETFUND Report (2020). In order to achieve our objectives
{"title":"Employment Potentials, Innovation, and R & D Expenditure in Nigeria: Evidence from Indigenous Microenterprises","authors":"Faruq Umar Quadri","doi":"10.11648/j.ajmse.20230802.11","DOIUrl":"https://doi.org/10.11648/j.ajmse.20230802.11","url":null,"abstract":": This study examined employment potentials of indigenous micro-enterprises in Nigeria as an alternative approach to tackling the menace of unemployment in Nigeria. Nigeria is a country with a relatively young population, with a median age of 18 years, which is lower than the African and global averages of 20 and 31 years respectively. A youthful population suggests a strong labor force; with the labor force population of around 70 million in 2020. Providing enough productive jobs for this young demographic (aged 15-29 years) and rising labor force is a challenge; more than 30 million young Nigerians were reported to be unemployed in 2021. As a result of this rapidly growing labor force, job creation is frequently on the top burners of policymakers and governments' development agendas. The dataset employed in the study is a secondary survey data exclusively from the TETFUND Report (2020). In order to achieve our objectives","PeriodicalId":438321,"journal":{"name":"American Journal of Management Science and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114942570","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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