Accelerating the Adoption of Cloud Technology by SMEs in Nigeria

The contentions for this study were to investigate the reason for the slow adoption of Cloud Computing by SME operators in Nigeria and to develop a suitable information model to guide the would-be users in making an informed decision regarding cloud adoption. A structured interview was conducted with a select number of SME operators and industry associates within the researcher’s domain, and a reasonable number of valid responses were obtained.  Technology Acceptance Model (TAM) was adapted as the research framework to qualitatively examine the conditions that affect the adoption of Cloud computing into microfinance business operations, within which a suitable model for improving the adoption of Cloud computing was recommended. The analysis of the study revealed that SMEs in Nigeria, with particular reference to microfinance subsector in Akwa Ibom State are yet to fully embrace Cloud technology.  It was discovered that most of the SMEs studied, has some level of reservation about cloud computing, arising from not having appropriate education and enlightenment about the cloud economic offerings and potentials. From the outcome of the research, the researcher identified that most people’s concerns are as a result of lack of knowledge about cloud computing and so the researcher concluded that appropriate enlightenment by industry stakeholders, cloud service providers, cloud enthusiasts and even the government on the risks and overwhelming economic incentives of cloud computing as well as the provision of a monitored free trial services will encourage the adoption of cloud technology by SMEs. Index Terms - Cloud Adoption, Cloud Computing, Cloud End-user, Cloud Service Providers, Data Security, Microfinance, Nigeria, SMEs, Vendors,

Revisiting the Applicability of Adult Early Post-Operative Nausea and Vomiting Risk Factors for the Paediatric Patient: A Prospective Study Using Cotinine Levels in Children Undergoing Adenotonsillectomies

Background and Aims: Post-operative vomiting (POV) in children remains a significant clinical problem. This prospective study aims to investigate the applicability of well-established adult early post-operative nausea and vomiting (PONV) risk factors on paediatric POV after adenotonsillectomies under regulated anaesthetic conditions. Methods: After Institutional Review Board approval, 213 children aged 3–10-year-old were enrolled. The participants had pre-operative questionnaires completed, followed protocolised anaesthetic plans and had saliva analysed for cotinine. The primary outcomes were POV as correlated with age, gender, family or personal history of PONV, motion sickness history, opioid use, surgical time, anaesthetic time and environmental tobacco smoke (ETS) exposure, as assessed by cotinine levels and questionnaire reports. Data on analgesics, antiemetics and POV incidence before post-anaesthesia care unit discharge were collected. Statistical analysis was done through multiple logistic regression. Results: A total of 200 patients finalised the study. Early POV occurred in 32%. Family history of PONV (odds ratio [OR] = 5.3, P \u3c 0.01) and motion sickness history (OR = 4.4, P = 0.02) were highly significant risk factors. Age reached borderline statistical significance (OR = 1.4, P = 0.05). None of the other factors reached statistical significance. Conclusion: Early POV occurs frequently in paediatric patients undergoing adenotonsillectomies. In this paediatric-aged group, the incidence of POV was affected by the family history of PONV, and history of motion sickness. Age, female gender, opioid use, surgical and anaesthetic times did not affect the incidence of POV. ETS exposure, as assessed by cotinine levels and questionnaire reports, had no protective effect on early paediatric POV

The Two-Centuries-Old Quest: A Lyrical Retelling of Matthew Arnold’s “The Scholar Gipsy”

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Improving the adoption of cloud computing by small & medium scale enterprise (SMEs) in Nigeria

In a traditional business environment, companies set up their organisation’s IT data infrastructure, install their applications and carry out the maintenance and management of their infrastructures. Whereas Cloud computing removes the need for companies to set up own data centers and run enterprise applications. Cloud computing technology provides businesses with the advantage of on-demand access, agility, scalability, flexibility and reduced cost of computing. An appreciable increase is being observed in the acceptance and migration to this new IT model in developing economies. In Nigeria, it has been observed that there is a somewhat unimpressive rate of adoption of Cloud computing by the microfinance operators. This research investigates the reason for the slow adoption of Cloud computing by SMEs in Nigeria with special consideration to the Microfinance subsector and to develop a model for improving the adoption of cloud computing by microfinance organisations. The research was conducted using a qualitative research design method. Interview was the main data collection instrument and data collected was analysed using thematic content analysis method. The analysis of the study revealed that SMEs in Nigeria, with particular reference to microfinance subsector in Akwa Ibom State are yet fully to embrace cloud technology. It was discovered that most of the SMEs studied, has some level of reservation about cloud computing arising from not having appropriate education and enlightenment about the cloud economic offerings and potentials. From the outcome of the research, the researcher identified that most people’s concerns are as a result of lack of knowledge about cloud computing and so the researcher concluded that appropriate enlightenment by industry stakeholders, cloud service providers, cloud enthusiasts and even the government on the risks and overwhelming economic incentives of cloud computing as well as the provision of a monitored free trial services will encourage the adoption of cloud computing by SMEs.College of Engineering, Science and TechnologyM.Tech. (Information Technology

Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counter-intuitively heats coronae to temperatures that are orders of magnitude hotter than the corresponding photospheres. It is widely accepted that the magnetic field is responsible for the heating, but there are two competing mechanisms that could explain it: nanoflares or Alfv\'en waves. To date, neither can be directly observed. Nanoflares are, by definition, extremely small, but their aggregate energy release could represent a substantial heating mechanism, presuming they are sufficiently abundant. One way to test this presumption is via the flare frequency distribution, which describes how often flares of various energies occur. If the slope of the power law fitting the flare frequency distribution is above a critical threshold, $\alpha=2$ as established in prior literature, then there should be a sufficient abundance of nanoflares to explain coronal heating. We performed $>$600 case studies of solar flares, made possible by an unprecedented number of data analysts via three semesters of an undergraduate physics laboratory course. This allowed us to include two crucial, but nontrivial, analysis methods: pre-flare baseline subtraction and computation of the flare energy, which requires determining flare start and stop times. We aggregated the results of these analyses into a statistical study to determine that $\alpha = 1.63 \pm 0.03$. This is below the critical threshold, suggesting that Alfv\'en waves are an important driver of coronal heating.Comment: 1,002 authors, 14 pages, 4 figures, 3 tables, published by The Astrophysical Journal on 2023-05-09, volume 948, page 7

Risk of COVID-19 after natural infection or vaccinationResearch in context

Summary: Background: While vaccines have established utility against COVID-19, phase 3 efficacy studies have generally not comprehensively evaluated protection provided by previous infection or hybrid immunity (previous infection plus vaccination). Individual patient data from US government-supported harmonized vaccine trials provide an unprecedented sample population to address this issue. We characterized the protective efficacy of previous SARS-CoV-2 infection and hybrid immunity against COVID-19 early in the pandemic over three-to six-month follow-up and compared with vaccine-associated protection. Methods: In this post-hoc cross-protocol analysis of the Moderna, AstraZeneca, Janssen, and Novavax COVID-19 vaccine clinical trials, we allocated participants into four groups based on previous-infection status at enrolment and treatment: no previous infection/placebo; previous infection/placebo; no previous infection/vaccine; and previous infection/vaccine. The main outcome was RT-PCR-confirmed COVID-19 >7–15 days (per original protocols) after final study injection. We calculated crude and adjusted efficacy measures. Findings: Previous infection/placebo participants had a 92% decreased risk of future COVID-19 compared to no previous infection/placebo participants (overall hazard ratio [HR] ratio: 0.08; 95% CI: 0.05–0.13). Among single-dose Janssen participants, hybrid immunity conferred greater protection than vaccine alone (HR: 0.03; 95% CI: 0.01–0.10). Too few infections were observed to draw statistical inferences comparing hybrid immunity to vaccine alone for other trials. Vaccination, previous infection, and hybrid immunity all provided near-complete protection against severe disease. Interpretation: Previous infection, any hybrid immunity, and two-dose vaccination all provided substantial protection against symptomatic and severe COVID-19 through the early Delta period. Thus, as a surrogate for natural infection, vaccination remains the safest approach to protection. Funding: National Institutes of Health