POS-214 The outcome of COVID-19 patients with acute kidney injury and the factors affecting mortality

Vahdat, Sahar; Shahidi, Shayan; Atapour, Abdolamir; Reisizadeh, S.; Soltaninejad, Forogh; Maghami-Mehr, Asieh

doi:10.1016/j.ekir.2021.03.227

Cited by 9 publications

(10 citation statements)

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“…Handling vast volumes of data in the cloud has evolved into an effective solution for meeting customer demands in many domains, such as COVID-19 controlling (Vahdat et al, 2021). The popularity of key-value stores is a benefit for Hadoop's distributed file system and MapReduce functions.…”

Section: Resultsmentioning

confidence: 99%

“…Recently, the term "big data" has been utilized to explain massive datasets due to the explosive rise of global data, such as COVID-19-related data (Chen et al, 2014;Vahdat, 2021;Vahdat et al, 2021). Three characteristics define big data: (1) there is a great deal of data; (2) it is impossible to rank data into regular logical databases; and (3) data is produced, maintained and analyzed in a short period (Khan et al, 2014).…”

Section: What Is Big Data?mentioning

confidence: 99%

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How does cloud computing help businesses to manage big data issues

Latifian

2022

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PurposeBig data has posed problems for businesses, the Information Technology (IT) sector and the science community. The problems posed by big data can be effectively addressed using cloud computing and associated distributed computing technology. Cloud computing and big data are two significant past-year problems that allow high-efficiency and competitive computing tools to be delivered as IT services. The paper aims to examine the role of the cloud as a tool for managing big data in various aspects to help businesses.Design/methodology/approachThis paper delivers solutions in the cloud for storing, compressing, analyzing and processing big data. Hence, articles were divided into four categories: articles on big data storage, articles on big data processing, articles on analyzing and finally, articles on data compression in cloud computing. This article is based on a systematic literature review. Also, it is based on a review of 19 published papers on big data.FindingsFrom the results, it can be inferred that cloud computing technology has features that can be useful for big data management. Challenging issues are raised in each section. For example, in storing big data, privacy and security issues are challenging.Research limitations/implicationsThere were limitations to this systematic review. The first limitation is that only English articles were reviewed. Also, articles that matched the keywords were used. Finally, in this review, authoritative articles were reviewed, and slides and tutorials were avoided.Practical implicationsThe research presents new insight into the business value of cloud computing in interfirm collaborations.Originality/valuePrevious research has often examined other aspects of big data in the cloud. This article takes a new approach to the subject. It allows big data researchers to comprehend the various aspects of big data management in the cloud. In addition, setting an agenda for future research saves time and effort for readers searching for topics within big data.

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Section: Resultsmentioning

confidence: 99%

Section: What Is Big Data?mentioning

confidence: 99%

How does cloud computing help businesses to manage big data issues

Latifian

2022

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“…Organizations need to have a committed and motivated skilled workforce to learn faster than competitors and apply what they have learned more effectively (Nurshabrina and Adrianti, 2020). Employees' high skill and knowledge in an organization are one of the most cost-effective measures to deal with possible crises in the COVID-19 era (Lee et al , 2020, Vahdat et al , 2021a, b). On the other hand, the economic situations of company help by stimulating change and transformation in the business, the entry of some resources into the company and the departure of others, and encouraging the company to adapt its products and work processes to new conditions in times of crisis (Usman et al , 2020).…”

Section: Methodsmentioning

confidence: 99%

“…On the other hand, the economic situations of company help by stimulating change and transformation in the business, the entry of some resources into the company and the departure of others, and encouraging the company to adapt its products and work processes to new conditions in times of crisis (Usman et al , 2020). Also, cloud payment fashion and availability for providing new services and paying costs for research and development of a new product or service without the need to know how to create and transfer those facilities to the consumer is one of the factors that can cause the efficiency of human resources in COVID-19 era (Hwang et al , 2014; Vahdat et al , 2021a, b). The company's IT infrastructure also provides tools and frameworks that support its goals and increase human resource efficiency (Docherty and Waite, 2020).…”

Section: Methodsmentioning

confidence: 99%

Do cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era?

Yao¹,

Azma

2021

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PurposeThis study aims to investigate the impact of skills and knowledge of employees, economic situations of the company, current IT infrastructure, payment fashion, cloud availability, and cloud privacy and security on the productivity of the human resources in the COVID-19 era.Design/methodology/approachOver the past few years, the advent of cloud-assisted technologies has dramatically advanced the Information Technology (IT)-based industries by providing everything as a service. Cloud computing is recognized as a growing technology among companies around the world. One of the most critical cloud applications is deploying systems and organizational resources, especially systems whose deployment costs are high. Manpower is one of the basic and vital resources of the organization, and organizations need an efficient workforce to achieve their goals. But, in the COVID-19 era, human resources' productivity can be reduced due to stress, high labor force, reduced organizational performance and profits, unfavorable organizational conditions, inability to manage and lack of training. Therefore, this study tries to investigate the productivity of human resources in the COVID-19 era. Data were collected from the medium-sized companies through a questionnaire. Distributed questionnaires were conducted on the Likert scale. The model is assessed using the structural equation modeling technique to examine its reliability and validity. The study is a library method and literature review. A case study was conducted through a questionnaire and statistical analysis by SPSS 25 and SMART-PLS.FindingsBased on the findings, the skills and knowledge of employees, the economic situations of the company, payment fashion, cloud availability and the current IT infrastructures of the company have a positive impact on human resource efficiency in the COVID-19 era. But cloud privacy and security have a negative effect on the productivity of human resources. The findings can be the basis for companies and organizations in the COVID-19 era.Research limitations/implicationsThis study has some restrictions that need to be considered in evaluating the obtained results. First, due to the prevalence of Coronavirus, access to information from the companies under study was limited. Second, this research may have overlooked other variables that affect human resource productivity in the COVID-19 era. Prospective researchers can examine the impact of Customer Relationship Management (CRM) and Supply Chain Management (SCM) on the human resource's productivity in the COVID-19 era.Practical implicationsThe results of this research are applicable for all companies, their departments and human resources in the COVID-19 era.Originality/valueIn this paper, human resources' productivity in the COVID-19 era is pointed out. The presented new model provides a complete framework for investigating cloud-based enterprise resource planning systems affect the productivity of human resources in the COVID-19 era.

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“…Following completing clinical studies, a few vaccines have been approved by the European Medicines Agency (EMA) or the Food and Drug Administration (FDA) [ 6 ]. Also, the vast manufacture and dissemination of these vaccinations, nevertheless, remains a difficult and time-consuming operation [ 7 , 8 ]. To limit the transmissibility of COVID-19 infection, early diagnosis and adequate safety measures are required [ 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%