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Objectives: This is a protocol for a Cochrane Review (intervention). The objectives are as follows:. To assess the benefits and adverse effects of vaccines for the prevention of infections in adults with haematological malignancies.Copyright © 2023 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.
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The research paper aims to examine the impact of digitalization and IoT technologies on the business world and the ways in which it also impacts the global economy. The paper examines that digital Human Resource Management can increase the productivity and the efficiency of both the HR professionals and the employees of the organisation. The findings of the research also reveals that through digitalisation the HR managers can build better relationships between the employee and the company, can think about the wellbeing of the employees better, and make them feel more valued and appreciated. It can also help in creating a competitive atmosphere in the workplace which can motivate the employees. The research further reveals that the active IoT technologies are increasing in the business world. The articles also analyses the advantages and disadvantages of implementing digitalisation and IoT in the workplace and there exists some requirements that need to be met for the successful implementation of the IoT technology. The research also estimates that in future companies can develop their business by adopting digitalisation. In the paper it is also mentioned that during the pandemic the global economy has decreased and to balance the condition it is important to implement digitalisation in the business world. © 2021 IEEE.
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The goal to promote human limits is for Artificial Intelligence (AI). It takes a posture on public administrations, represents the increasing availability of regaining clinical data and the rapid creation of intelligent strategies. The need to stress the need to use AI in the fight against the COVID-19 crisis. The paper outlines the main role played by Ai technologies in this unprecedented war and introduces a survey of AI methods used for multiple purposes in the fight against the outbreak of COVID-19. This paper also explains how the body temperature and coughing of the incoming person are assessed and whether the incoming person has not a protective facial mask. Should either of the above tests disqualify the participant, an alarming device invokes the local officials;the entrant may otherwise enter the premises after his/her hand has been sanitized. © 2022 Author(s).
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The Latest emergency issues are impacting the world as a result of the new 2019 corona virus rise and pandemic. It has spread to the worldwide and afflicted people to Covid-19. The virus transmitting has regarded as being transmitted by individuals who find it a convenient disease explosion. While coughing and sneezing the infection spreads from the infectious droplets. Although in the air, these droplets will still survive and transfer the virus on to humans. In worldwide, robots have been used to alleviate the proliferation of new corona virus infections, COVID-19 with food preservation, food supplies, sanitation tasks, spraying disinfectant, temperature monitoring, hand sanitizers distributing, work on sensitizing, etc. For fast strategizing, that are considered hazardous for human beings. This paper discuss the difficulties and opportunities associated with using humanoid robots to minimize the risk of spread of COVID-19 in.public healthcare. The primary application of humanoid robots is the minimization of individual interaction in public places, and the provision of containment to hygiene, disinfectants and helping. The following discussion aims to underline the value of humanoid robot's purposes in specific and to link their use as the COVID-19 perspectives. Throughout the testing, review and diagnosis of a vulnerability and for subset of events, artificial intelligence plays a crucial role. It may be used during potential for the forecast of events but also to record the number of alternative cases, restored instances and deaths. Technology based on artificial intelligence is being used to provide outstanding services such as the detection and substitution of drugs for the care of employees by robotics for the provision of prescriptions and nutrition in clinics. It also disinfects the substances in response to the spread of Covid-19. © 2022 Author(s).
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In this work, we are introducing a novel assessment methodology for evaluating a prototype web service-based system for COVID-19 disease processing system by using cluster-based web server. We call it as PwCOV. The service generates clinical instructions and process respective information for distributed disease data sets. It follows the business processes and principles of service-oriented computing for each end user request. The assessment methodology illustrates different aspects of service deployment for massive growth of service users. In this study, the PwCOV is observed to be stable up to the stress level of 1700 simultaneous users. The response time of 14.35s, throughput of 8592 bytes/s, and central processing unit (CPU) utilization of 22.16% with a strong reliability of service execution is observed. However, the reliability of PwCOV execution degrades beyond that execution limit. For 1800 simultaneous users of the service, the response time, throughput and CPU utilization is recorded to be 25.28 s, 15, 729 bytes/s, and 39.13%, respectively. During this stress, the service failure rate of 35% is observed. A moderate reliability of 70% of service period is observed for 1800 users. The propose study also discusses the impact of system metric, reliability, and their correlation over the service execution. The statistical analysis is carried out to study the viability, acceptability, applicability of such deployment for COVID-19 disease processing system. The limitation of PwCOV for processing geographically scattered data sets is also discussed. © 2021 Elsevier Inc. All rights reserved.
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The pandemic coronavirus diseases 2019 are generating different data sets in different regions of the world. The data sets are observed to be available in geographically separated medical entities. However, the demand for accessing and reliable delivery of such datasets through a web-based module is increasing gradually. In this work, we propose a novel cycle of reliability evaluation model for deployment of Software as a Service-based prototype for the coronavirus disease data processing system. We call it as PwCOV. The prototype generates clinical remarks through the paradigm of service-oriented computing, cluster-based load balancing web servers, and loosely coupled software principles. The applicability of PwCOV for processing isolated disease datasets is discussed against different stress of set of user entities. The validity and applicability of the proposed model are evaluated through statistical analysis. The reliability of the PwCOV is observed by evaluating the recorded status of the business logic execution, failure count and failure rate. The study reveals that the PwCOV is affective for processing disease data set for a collaborative set of tenants. A novel methodology is designed for the deployment of software as a service for the COVID-19 data processing system using a load balancing cluster base web server, where the roles of service-oriented computing are segregated among different layers. The limitation of such deployment is also discussed for multi-tenant environment. © 2020, Materials and Energy Research Center. All rights reserved.