A Review On-SARS-CoV-2 Omicron Variant

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Severe acute respiratory syndrome – coronavirus 2   is known to cause coronavirus disease (COVID-19), an infectious diseaseThe majority of those exposed to the virus can have moderate respiratory issues and can recover without the need for specific treatment. Some, on the other side, can become gravely unwell and require medication. People over the age of 65, as well as those with existing medical disorders such as cardiovascular risk factors, diabetes, severe pulmonary disease, or cancer, are often more likely to form serious illnesses. COVID-19 can make anyone sick and cause serious illness or even death at any age. The Omicron variation in SARS-CoV-2(severe acute respiratory syndrome coronavirus 2) is the newer coronavirus strain to be identified as a “variant of concern” by the World Health Organization (WHO). Researchers from everywhere in the world, including South Africa, are looking into this variety in order to fully comprehend different aspects of Omicron, but it might take a long time to learn everything there is to know. Due to the scarcity of studies, misinformation about the Omicron variation is spreading around the world, posing a serious threat to healthcare systems and everyday life. Here, we reviewed the finding and characteristics of the Omicron variant, compared the transmission capacity of the Omicron variant with other variants, discussed on the influence of the Omicron variation on the severity of COVID-19 in cancer as well as diabetic patients, and discussed potential strategies and treatments options to avoid and overcome the Omicron variant’s prevalence.

Selenium, Zinc and Probiotics Ameliorate the Effect of High Ambient Temperature: A Review

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The exhibition, wellbeing, and prosperity of domesticated animals are firmly affected by environment. Higher encompassing temperature and stickiness are natural stressors that cause weight on animals. Then again, heat pressure is the central point in decreasing animals’ creation, propagation and resistance. Minor components like Selenium (Se) and Zinc (Zn) are fundamental for keeping up with wellbeing and resistance and assume a significant part in cancer prevention agent safeguard and invulnerability capacity and they are engaged with development, creation and generation and go about as cofactors of proteins which are vital to the insusceptibility of creature. Besides, probiotics are basically living microorganisms that, when applied in adequate amounts, give the host medical advantages and affect have creatures. Accordingly, the motivation behind this survey was to evaluate that Selenium, Zinc and probiotics further develop Animal wellbeing, cell reinforcement status and safe Function raised under high surrounding temperature.

Application of the Delayed Royalty Framework for Onshore Petroleum Investment in Nigeria Using the 1993 Production Sharing Contract

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The 1993 production sharing contract (PSC) in Nigeria specifies different royalty rates for oil and gas investment. The royalty rates were fixed. This makes the fiscal arrangement to be regressive in nature. Royalty rate of 20% is to be paid for onshore investment using the 1993 PSC. Hence, there is a need to make the fiscal arrangement progressive. The delayed royalty framework was incorporated into the1993 PSC as a progressive measure to make it dynamic. Two economic models were developed using spreadsheet technique to evaluate the impact of the delayed royalty framework on onshore petroleum investment. The 1993 PSC fiscal framework was used to develop the economic models. The delayed royalty framework was incorporated into one of the models. The delay in royalty payment hinged on the payout period of the investment. It was observed that the delayed royalty framework increased the contractor’s revenue during the period of low oil price. Thus, increasing the sustainability of the investment during period of low oil price.

Efficiency Enhancement of Gas Turbine Power Output by Cooling Inlet Air

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Electrical power generation can be achieved through many means, one of which includes using a gas turbine. Gas turbine performance is highly dependent on ambient temperature; as temperature increases gas turbine power output is lessened. This can be a huge problem in warmer regions like Nigeria. Gas turbines use the surrounding air to generate electricity and this gives rise to a method or curbing the effect of high ambient temperatures. Once the volumetric rate is constant as is the case in a gas turbine system, air density and ambient temperature are inversely proportional; this allows mass flow rate to be inversely proportional to temperature. To fully take advantage of this, there are many methods that can be implemented to achieve this cooling effect. A few of these methods were investigated in this study to determine their strengths and susceptibilities. The performance characteristics were scrutinised for a range of operational values including ambient temperature, humidity and air density. The results showed that air cooling significantly improved the power output of the gas turbine. At standard temperature of 32oc, the base case was 37.87 MW while evaporative cooler, mechanical and absorption chillers were 37.70 MW, 40.39 MW and 41.07 MW respectively.

Determinants of Company Going Concern: Empirical Evidence in the Times of Covid-19 in Developing Capital Markets

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During the COVID-19 pandemic, various corporate sectors in Indonesia were affected by the pandemic, including manufacturing companies. Where during the pandemic many companies are threatened with their business continuity. This observation plan is to understand the influence of managerial ownership, financial distress and leverage on going concern companies with profitability as a moderating variable. In this study going concern was measured by determining the Scott R formula. The research methodology for testing and data analysis was using MRA (Moderating Regression Analysis). The population in this observation is the manufacturing industry listed on the Indonesia Stock Exchange (IDX) in 2020. The sample collection was carried out using the purposive sampling method with a total sample of 179 companies in 2020. The results of this observation prove that financial distress has a negative effect on going concern and leverage. Positive impact on going concern. Meanwhile, managerial ownership has no impact on going concern. Authorized profitability with return on assets is able to strengthen the influence of financial distress and leverage on going concern. Observational findings in this observation normative accounting theory elevate plans, skills and then determine how to meet the recognized goals. Normative accounting theory includes decisions about what to do to fulfill the desires that have been mentioned. The implication of this research is that the implementation of Pecking order theory explains that industries that get high profits will use relatively small liabilities because the industry will tend to set money in it. The normative theory here tries to explain the explanations that are usually conveyed to the users of the accounting explanations that will be presented.

The Effect of Capital Structure and Operating Leverage on Going Concern Opinion with Profitability as Intervening Variables in Property and Real Estate Sub Sector Services Companies Listed on the Indonesia Stock Exchange for the 2014-2019 Period What is the Profitability to Mediate the Going Concern Audit Opinion: Empirical Evidence on Developing Capital Markets

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The purpose of this study is to empirically examine the effect of capital structure and operating leverage on going concern opinions with profitability as an intervening variable. The population of this research is the property and real estate sub- sector service companies listed on the Indonesia Stock Exchange in the 2014-2019 period, which are 65 companies. The sample in this study amounted to 15 companies and had 90 observational data that had been selected using the purposive sampling method. The data used in this study is secondary data obtained from the Indonesia Stock Exchange (IDX) and data analysis using Logistics Regression analysis. The results of this study indicate that capital structure, operating leverage and profitability have a positive influence on going concern opinions and capital structure and operating leverage have no effect on profitability and even profitability is not able to mediate the effect of capital structure on operating leverage, to the going concern opinion.

The Effect of Debt, Liquidity and Corporate Tax Policy on Dividend Policy with Profitability as Intervening Variables in Trading Companies Listed on the Indonesia Stock Exchange for the 2014-2019

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Study this aim for get Proof empirical is Policy Debt, Liquidity and Corporate Tax have an effect to Policy Dividend with Profitability as intervening variables in the company Trades listed on the IDX for the period 2014 to 2019. Research this using 16 companies Trades listed on the IDX from 2014 to 2019 with use purposive sampling method. Research data this analyzed with Analysis of Moment Structure (AMOS) method. Research results show that variable Policy Debt, Liquidity and Corporate Tax together take effect to Policy Dividends. Variable Policy Debt, Liquidity and Profitability take effect to Policy Dividends. Variable Policy Debt and Liquidity take effect to Profitability. Study this also finds that variable Profitability could mediate influence Policy Debt, Liquidity and Corporate Tax on Policy Dividends.

Extent of Teachers’ Participation in Continuous In-Service Training Programmes for Their Improved Job Productivity in Secondary Schools in Anambra State

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The inefficiencies noticed among many secondary school teachers while performing their teaching responsibilities in the classroom which seems to have negative impact on their job productivity has warranted this present study. Therefore, the present study was designated to find out the extent teachers’ participation on continuous in-service training programmes for their improved job productivity in secondary schools in Anambra State. Three research questions guided this study. A descriptive survey research design was employed in the study. Population for this study constituted 5,674 teachers from 258 public secondary schools within the 6 education zones in Anambra State. Sample size for the study consisted of 1,135 teachers from 129 public secondary schools selected at 20% and 50% from both the teachers’ population and public secondary schools respectively using the stratified random sampling technique. Instrument for data collection was a researcher-developed 23-item questionnaire titled: “Teachers’ Participation in Continuous In-Service Training Programmes and Improved Job Productivity Questionnaire (TPCISTPIJPQ)” and structured on a 4-point scale of Very High Extent (VHE), High Extent (HE), Low Extent (LE) and Very Low Extent (VLE) in order to answer all the three research questions. The questionnaire was validated by two experts from the Department of Educational Management and Policy, and one Measurement and Evaluation expert from the Faculty of Education, Nnamdi Azikiwe University, Awka, Anambra State. Reliability of the instrument was established through a pilot-test on a sample 32 teachers from 4 public secondary schools in Anambra State. The scores obtained were measured using Cronbach Alpha statistics which yielded coefficient reliability value of 0.75, 0.77 and 0.81 for each cluster respectively, with an overall internal consistency reliability value of 0.78 showcasing that the questionnaire was reliable and dependable to collect the necessary data for the study. Data collated were analyzed using the mean score rated at 2.50 and standard deviation statistics. Findings of the study revealed among others, that the extent of teachers’ participation in the various continuous in-service training programmes (on-the-job, off-the-job & computer-based training programmes) for their improved job productivity were all to a low extent. The study recommended among others that secondary school principals in collaboration with Anambra State Post Primary Schools Service Commission (PPSSC) should to high extent constantly organize on-the-job continuous in-service training programmes through induction and orientation training programmes, shadowing or co-worker training, job rotation, mentorship from older teachers, internship programmes, school seminars and workshops, coaching and committee assignment for teachers improved job productivity in schools.

Factors Affecting Investment Decisions of EU Investors in Vietnam

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EU investors were present in 18 out of 21 important economic sectors, focusing on manufacturing and processing industry 36.3%, refining and petrochemical 11%, textiles and garments 6.94%, electronics 6.4%, food processing 5.6%, cars and means of transport 5.2%; production and distribution of electricity and gas 20.7%, real estate 11%, information and communication 6.6% (GSO, 2020); contributed significantly to Vietnam’s economic growth. On the basis of that, attracting FDI is a subjective activity of the investee, that is, the investee will perform activities affecting the factors of the investee to increase the attractiveness of the investor. foreign investor. Thus, in order to effectively attract FDI from EU investors into Vietnam associated with the characteristics of each investor, it is necessary to assess the degree of influence of factors on FDI attraction, which is also the factors affecting the decision of EU investors. This study uses an exploratory factor analysis (EFA) model to analyze the factors affecting the investment decisions of EU investors in Vietnam, thereby proposing solutions to enhance the attractiveness of EU investors effective FDI from the EU into Vietnam in the coming time.

Real time Bangla Digit Recognition through Hand Gestures on Air Using Deep Learning and OpenCV

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Digit Recognition in real time through hand gestures has achieved great attention in machine learning and computer vision applications. This article focuses on identifying Bangla numerals in the air using hand motions. This research leads to the stairwell, allowing for more investigation in the same subject for various Bangla characters and even phrases. The major issue, however, is coping with the wide range of handwriting styles employed by various users. Many studies have been done on the identification of Bangla handwritten digits, but none has proven successful at recognizing Bangla digits in real time using hand gestures in the air. As a result, this article describes the creation of a Bangla digit recognition model that employs a Convolution Neural Network (CNN) to predict Bangla digits by observing hand movements in the air space.  After a thorough examination, the suggested system attained a 98.37% accuracy on the BanglaLekha-Isolated dataset.