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Déclaration de liens d'intérêts: Les auteurs n'ont pas précisé leurs éventuels liens d'intérêts.
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Infectious bronchitis is an acute extremely infectious respiratory illness caused by the avian gamma-corona virus. Infection with infectious bronchitis virus predisposes the bird to subsequent bacterial infection, worsening the situation. Infection causes severe morbidity and variable mortality in broilers, as well as a significant decrease in layer production of eggs. Samples were collected from clinical cases submitted for necropsy at local veterinary clinics.This study was conducted to detect the molecular similarity in S1 gene sequence between field viruses and commonly used vaccines. In order to compare the sequences of field viruses with vaccinal viruses, two vaccines are chosen based on their popularity in veterinary clinics. These are MA5 strain and H120 strain. Molecular identification was done by using polymerase chain reaction (PCR) which was employed using primers target the S1 gene. Four positive field cases and two vaccine samples were sent to sequencing. The results of sequence alignment showed that vaccine viruses differ by more than 30% when compared to sequences of all the field viruses. The difference between genetic sequence leads to vaccine failure due to difference in the antigenic molecules on the spike protein of IBV © 2022, Revista Iberoamericana de Psicologia del Ejercicio y el Deporte.All Rights Reserved.
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Infectious bronchitis is an acute extremely infectious respiratory illness caused by the avian gamma-corona virus. Infection with infectious bronchitis virus predisposes the bird to subsequent bacterial infection, worsening the situation. Infection causes severe morbidity and variable mortality in broilers, as well as a significant decrease in layer production of eggs. Samples were collected from clinical cases submitted for necropsy at local veterinary clinics.This study was conducted to detect the molecular similarity in S1 gene sequence between field viruses and commonly used vaccines. In order to compare the sequences of field viruses with vaccinal viruses, two vaccines are chosen based on their popularity in veterinary clinics. These are MA5 strain and H120 strain. Molecular identification was done by using polymerase chain reaction (PCR) which was employed using primers target the S1 gene. Four positive field cases and two vaccine samples were sent to sequencing. The results of sequence alignment showed that vaccine viruses differ by more than 30% when compared to sequences of all the field viruses. The difference between genetic sequence leads to vaccine failure due to difference in the antigenic molecules on the spike protein of IBV © 2022, Revista Iberoamericana de Psicologia del Ejercicio y el Deporte.All Rights Reserved.
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Food security (FS) is one of the most elusive and sought-after objectives worldwide. Securing a country's self-sufficiency - in the current COVID-19 pandemic era, more than ever - has become a prioritized mission. In the Middle East and North Africa (MENA) region, FS is adversely affected by, among others, the scarcity of freshwater, harsh environment, regional conflicts, and rising temperatures. Following the eruption of the COVID-19 pandemic, exporters placed export restrictions on key food crops, affecting FS in import dependent regions, such as the MENA countries and, more specifically, the United Arab Emirates (UAE). This paper presented a conceptual framework on the key enablers for the UAE agri-food supply chains to obtain the necessary resiliency to achieve FS, through improving policy-making capacity. The proposed approach started with the assessment of the main vulnerabilities of the food system in a global context;from there, the factors that influence vulnerability were investigated, identifying the main global drivers that affect the local food systems, focusing on the UAE. The proposed framework was applied for the design and implementation of an early warning system concerning FS-related incidents.
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The coronavirus pandemic and the Russian invasion of Ukraine have exposed the vulnerability of the food systems of import-dependent countries to supply chain disruptions. This study measured the short-term external cereal supply risks for the United Arab Emirates (UAE) by applying the Herfindahl-Hirschman Concentration Index (HHI) and the Shannon-Wiener Diversity Index (SWI) during 2012-2020. We measured the security of UAE's external cereal supplies by taking the degree of UAE's cereal import dependency, the level of political- and business-related risks of UAE's cereal supplying countries, and the distance between UAE and its supplying countries into account. The results of the index values generally imply that UAE's cereal external supply risk has been low during the sample period. However, the external wheat supply risk has increased since 2017. This was mainly attributable to UAE's increasing dependence on less secured countries, i.e. countries with higher levels of risk assessment values such as Russia. UAE has heavily been dependent on one or two, mostly price competitive, sources for its cereal imports, which also raises the external cereal supply risk. The UAE's increasing dependence on Russia as the main source of cereals and the increasing consolidation of sources pose a serious threat to sustaining food security.
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Bats carry thousands of viruses from 28 different families. To determine the presence of various pathogens in bat populations in Kazakhstan, 1149 samples (393 oropharyngeal swabs, 349 brain samples, 407 guano) were collected. The samples were collected from four species of bats (Vespertilio murinus, Nyctalus noctula, Myotis blythii, Eptesicus serotinus) in nine regions. The Coronavirus RNA was found in 38 (4.75%) samples, and the rabies virus in 27 (7.74%) samples from bats. Coronaviruses and the rabies virus were found in bats in six out of nine studied areas. The RNAs of SARS-CoV-2, MERS, TBE, CCHF, WNF, influenza A viruses were not detected in the bat samples. The phylogeny of the RdRp gene of 12 samples made it possible to classify them as alphacoronaviruses and divide them into two groups. The main group (n = 11) was closely related to bat coronaviruses from Ghana, Zimbabwe and Kenya. The second group (n = 1) was closely related to viruses previously isolated in the south of Kazakhstan. The phylogeny of the N gene sequence from a bat from west Kazakhstan revealed its close relationship with isolates from the Cosmopolitan group of rabies viruses (Central Asia). These results highlight the need for a continuous monitoring of volatile populations to improve the surveillance and detection of infectious diseases.
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COVID-19 , Chiroptera , Hemorrhagic Fever Virus, Crimean-Congo , Hemorrhagic Fever, Crimean , Humans , Animals , Kazakhstan/epidemiology , Prevalence , SARS-CoV-2 , PhylogenyABSTRACT
Blockchain is a sort of database that can be used to securely and permanently store data that is entered into the blockchain ledger and cannot be changed or destroyed. It's a database shared by various parties, including banks, insurance companies, hospitals, patients, and doctors. Because mistakes are made while moving information from one system to another, whether due to human error or malicious attack, every transaction in the blockchain ledger will have its own identification number and will use encryption for security and privacy. The research is a discussion about Types of blockchain technology's in the healthcare industry and points out three applications as An electronic health record that provides security and privacy, A platform called MiPasa uses smart contact tracing applying Hyperledger Fabric based framework, and the telecare system that applies sensors to store medical records and monitors patient's condition. The proposed applications are good examples that can be applied to the health sector in the Kingdom of Bahrain. © 2022 IEEE.
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Background Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings Globally, in 2019, the risk factors included in this analysis accounted for 4.45 million (95% uncertainty interval 4.01-4.94) deaths and 105 million (95.0-116) DALYs for both sexes combined, representing 44.4% (41.3-48.4) of all cancer deaths and 42.0% (39.1-45.6) of all DALYs. There were 2.88 million (2.60-3.18) risk-attributable cancer deaths in males (50.6% [47.8-54.1] of all male cancer deaths) and 1.58 million (1.36-1.84) risk-attributable cancer deaths in females (36.3% [32.5-41.3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20.4% (12.6-28.4) and DALYs by 16.8% (8.8-25.0), with the greatest percentage increase in metabolic risks (34.7% [27.9-42.8] and 33.3% [25.8-42.0]). Interpretation The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. Copyright (C) 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license.
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This paper describes the perception of school teachers of Aurangabad city towards teaching using the Open-Source Learning Management System (LMS) MOODLE in teaching science subjects. The Free and Open-Source (LMS) MOODLE has brought a dynamic pedagogical shift in Online Learning due to its nature of robust features and free availability. The outbreak of COVID-19 has forced formal and non-formal educational systems to adopt an Online teaching-learning platform for the transaction of information. In this study, teachers’ perception of using LMS-MOODLE in teaching science to secondary school students of Aurangabad city is studied. The research methodology adopted is the descriptive survey method, and the sample consists of 40 female and 45 male teachers of secondary school students of Aurangabad. In this research, a self-made perception scale (refer to appendix) is prepared with a 5-point Likert-type scale, the reliability of the test found by Cronbach (0.71). The data analysis shows that the perception among female and male school teachers of Aurangabad city, [U = 766.5, p =.23] in teaching science using LMS-MOODLE is almost the same. Further, the perception between groups, i.e., primary and secondary school teachers of Aurangabad city, [U = 878.5, p =.898] towards using LMS-MOODLE in teaching science was also found to be identical. The study results suggest that female and male school teachers have similar perceptions towards teaching science subjects by using LMS-MOODLE.Similarly, primary and secondary school teachers have identical perceptions towards teaching science subjects by using LMS-MOODLE. The most plausible reason for the similar perceptions among male and female teachers at the primary and secondary levels is the application of the Internet and technology in learning and teachingduring the pre-COVID-19 and post-COVID-19 pandemics and the social distancing implemented by the authority.
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Background: Severe acute respiratory syndrome coronavirus 2 is the causative agent of coronavirus disease 2019 (COVID-19). The release of alarmins results in a “cytokine storm,” which can be attenuated by the immunomodulatory and anti-inflammatory effects of dexamethasone. Aim: To evaluate and assess the effect of dexamethasone in two different doses, on D-dimer, serum ferritin, C-reactive protein (CRP) levels, and granulocyte/lymphocyte (%) in patients with COVID-19. Patients and methods: A total of 100 patients were randomly divided into two groups;group A patients received a higher dose of dexamethasone than those in group B. Measurements of certain hematological and biochemical markers, including D-dimer, serum ferritin, CRP, and granulocyte/lymphocyte ratio were done for all the patients in both groups. These indices were compared at different times of treatment between the two groups. Results: The D-dimer and granulocyte/lymphocyte ratio measurements were statistically non-significant in both the groups in all three readings. The serum ferritin measurement was significant only on the 6th day of treatment. The results demonstrated that group A patients had significantly lower CRP levels on both the 3rd and 6th days of treatment. Conclusion: Administration of a slightly higher dose of dexamethasone (8 mg per day for three days, then 6 mg per day for another 3 days) in patients hospitalized with COVID-19 effectively reduces the inflammatory and hematological biomarkers in patients who required supplemental oxygen therapy.
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Artificial intelligence is a software-based modern technology that helps to improve the communication system. Therefore, by using artificial intelligence some digital applications are launched for education digitally. Thus, the use of artificial intelligence and digital applications for education has increased during the COVID-19 pandemic situation. As all the institutions, colleges, and schools were closed for a certain time due to the pandemic situation;the stoppage of studies was impacting the productivity of the students. Therefore, the digital applications and artificial intelligence help the students to continue their education through those applications. Apart from that, these applications and systems for digital education impact the youth of the society largely. The students have to stay in their homes and they can use these digital applications to continue their education and this impacts their communication skills. Along with that, there are a lot of beneficial sites of artificial intelligence and sustainable impacts on the youth of the society. On the other hand, the purpose of this particular research study is to analyse the sustainable impacts of artificial intelligence and digital applications of education on the youth of the society. Artificial intelligence has a great impact on the education system. Therefore, the advantages and disadvantages of the uses of artificial intelligence in education are analysed in this particular research study. Furthermore, the researcher has used several types of methods and techniques for collecting and analysing more data and information about the particular research topic. Thereafter the researcher has used the secondary methods and sources for collecting data about artificial intelligence and its impacts on youth of the society. Apart from that, the research has used the qualitative techniques for analysing all the collected data in this particular research study in a proper way. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Purpose>This article critically synthesizes the literature on sustainable fashion, the movement behind it and plausible fashion adoption theories. Then, to build on those studies, developing a new theory about adopting sustainable fashion – mainly among millennials and Generation Z who are behind forwarding and adopting this fashion trend – is sought after.Design/methodology/approach>This is a theory-synthesized conceptual article that presents a literature-informed new theoretical structure pronouncing sustainable fashion adoption and its rise as a new luxury trend. That included explicating and unraveling the conceptual foundations and construction elements that different viewpoints use to articulate the trend under investigation and the searches for a common basis to construct a new and improved conceptual framework.Findings>This study introduces the triple-trickle theory that incorporates the role of media and technology to organize and understand the diffusion of sustainable fashion and identify paths for future trickle-effects on fashion research.Research limitations/implications>Even though this has the benefit of offering a vast array of views and evidence that offers an adequate problem inspection, further studies providing empirical evidence are needed to establish the external validity of the theory derived from this research.Practical implications>This theory can be applied to develop targeted practices to understand the diffusion and adoption of sustainable fashion and further practitioners’ understanding of product positioning, target marketing, marketing strategy and luxury opportunities in general.Originality/value>Though interest in sustainable fashion has increased among consumers, no theory or model exists to explain its adoption. Therefore, the triple-trickle theory is proposed and aimed to be a more relevant framework to offer a theoretical premise for future empirical investigations of sustainable fashion adoption.
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In this article, a set of common statistical models, namely, linear, logarithmic, inverse, quadratic, cube, complex, power, exponential, and logistic model have been fitted to data representing the number of infections with Covid-19 virus in Iraq from the beginning of the disease until now by using the principle of fuzziness by forming a fuzzy information system (FIS) by generating values belonging to the set of infected numbers to produce a classical set that takes into account the inaccuracy (certainty) in data collection, then testing the significance of the models that were appropriate using the F-test and the probabilistic value sigma, and the comparison between these models using the coefficient of determination R-2 and MSE to reach the best model that represents the data of infection with the Covid-19 virus. Then estimate the best among those models and to calculate the estimated values for the number of infections with the virus. It was concluded that the use of the principle of fuzziness in the fitting of the models led to an increase in the accuracy of these models and the mean squares error (MSE) for all the models that have been fitted is reduced. We also note that the best model in representing the data of infections with the Covid-19 virus is the Power model, which recorded the lowest MSE among all the models, followed by the Logistic, Compound, Exponential models with the same strength of fit, with the same MSE at all alpha-cut coefficients (0.0, 0.1, 0.5, 0.8) and that the models Cubic, Quadratic, Linear, Logarithmic, Inverse are not suitable for data on the number of infections with Covid-19 virus, and we also note that the best model that achieved a fit for the data was at the alpha-cut = 0.8 (MSE=0.223) and that the value of the coefficient of the determination R-2 of the Power model decreases as the cut-off factor increases and this indicates the accuracy of the appropriate model. We also notice that increase in one unit of time led to increase infection with Covid-19 with 1.456.
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DDW 2022 Author Disclosures: Basim Ali: NO financial relationship with a commercial interest ;Frederick Peng: NO financial relationship with a commercial interest ;Gyanprakash Ketwaroo: YES financial relationship with a commercial interest;AMBU:Consulting;CONMED:Consulting Introduction: The percentage of endoscopy cancellations are reported to range from 12% to 20% globally. Reducing same-day cancellations is a key tool in making an endoscopy unit more efficient and cost-effective. We aimed to use a quality- improvement (QI) model to reduce same day cancellations to less than 10% over two years. Methods: The study was carried out at the outpatient endoscopy unit at the Michael E. DeBakey Veteran Affairs Medical Center in Houston, Texas. All consecutive patients presenting for upper gastrointestinal endoscopy and/or surveillance colonoscopy from April 2018 to February 2020 were included in the study. The study was terminated after 22 months due to the COVID-19 pandemic and cancellation of all outpatient procedures. A fishbone diagram was created followed by a Pareto analysis in order to target interventions for the most common reasons for same-day cancellations. Two PDSA cycles were planned and implemented in the duration of the study. Results: Between April 2018 and December 2018, 7,075 endoscopy procedures were performed of which 805 were cancelled. The median number of cancellations were 12.9%. 608 (75.5%) of the procedure cancellations were related to either patients eating prior to the procedure (68.0%) or due to poor bowel preparation (9.1%;Figure 1). Two PDSA cycles were implemented in response to this information. The first PDSA cycle, implemented in May 2018, was the placement of a call seven days prior to the procedure with verbal instructions to patients about bowel preparation and a reminder about not eating breakfast on the morning of the procedure. No decrease in the number of cancellations was seen after the first PDSA cycle. A second PDSA cycle, implemented between March 2019 and June 2019, comprised of simplification of the language used in informational pamphlets mailed to patients and instituting a 24-hour automated telephone line to allow patients to confirm pre-procedure instructions. The median percentage of cancellations decreased from 12.9% pre-intervention to 11.0% post-intervention after the second PDSA cycle. There were no trends in the data collected and the number of runs (9) was within expected range for the number of useful observations (20). Although a preset reduction in percent cancellation of all procedures to less than 10% was not achieved a downward shift below the median was seen with the second intervention signifying a non-random decrease in cancellations (Figure 2). Conclusion: This study identified eating the day prior or on the day of endoscopy as the primary driver of same-day cancellations. Efforts to improve adherence to appropriate pre-procedure instructions are needed. In this QI project, simplifying the language of written information material and implementation of a 24-hour automated telephone line with pre-procedure instructions reduced same-day endoscopy cancellations. [Formula presented] Pareto analysis of reasons for same-day endoscopy cancellation from April 2018 to December 2018. [Formula presented] Monthly percentage cancellation of endoscopy procedures from April 2018 to February 2020. No data was collected during April and May 2019 due to planning of interventions. Revised pamphlets were mailed out starting March 2019 and the 24-hour call line was instituted June 2019.
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In today's computer technology environment, the effect of IT plays a significant part in all real-time systems. Various management systems are in place to help the company organization achieve profit, standards, and future commercial growth. The VMS is important for monitoring how many visitors are there, what the objective of the facility visit will be, and who will be put in the block listed record due to rule violation. This technology also protects the building's overall security. The goal of this system is to synchronize the organization's business and visitors in order to achieve a wonderful connection among organizations globally. The background was compiled from many papers that discussed similar subjects and were connected to the system. In addition, the limitations and analyses of the present system have been addressed in order to demonstrate the organization's demands for a new system. In part three, we will go through the project planning, covering the feasibility study, Gantt chart, and software methodology in specific stages. Stepping on functional and non-functional requirements of the system, it is covered in the same chapter, as well as the system steps in the implementation part of section four, and finally with clear and direct conclusion and recommendations in section five with future work of the visitor management system, which will be added after the system is implanted in the organization and other related organizations. © 2022 NSP. Natural Sciences Publishing Cor.
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C oronavirus December irresistible 2019 hasspecialistblowout introducing inworldwidea broad a genuine frompestilence general the timeis wellbeing vitalwhentoits emergency. therevelationachievement The in Hubei capacity ofProvince,isolate to recognize endeavorsChina an in notwithstanding the delicate and precise screening of expected instances of disease from patients in a clinical setting. Structural proteins the basic key role-playing in SARS-CoV2 identification include a spike, envelope membrane, nucleocapsid, and helper proteins. N-protein ties to the infection single positive-strand RNA that permits the infection to assume control over human cells and transform them into infection industrial facilities inside the capsid and E-protein shows a significant part in infection gathering, film permeability of the host cell, and infection has cell correspondence. Nucleic-Acid base testing presently offers the most touchy and early discovery of COVID-19. Notwithstanding, analytic advancements have explicit impediments and announced a few false negative and false positive cases, particularly during the beginning phases of contamination. Presently, more refined diagnostics are being created to improve the COVID-19 determination. This article presents an outline of diagnostic approaches to address a few inquiries and issues identified with the constraints of flow innovations and future innovative work difficulties to empower ideal, fast, minimal effort, and precise analysis of arising irresistible illnesses We depict purpose of-care diagnostics that are not too far off and urge scholastics to propel their advancements past origination. Creating fitting and-play diagnostics to deal with the SARS-CoV-2 flare-up would be valuable in forestalling forthcoming pandemics. © 2021. Advancements in Life Sciences. All rights reserved.
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Sustainability marketing in the fashion industry is the subject of this theoretical synthesis. This conceptual essay entails dissecting the conceptual underpinnings and construction components of sustainability marketing derived by current scholarly perspectives to offer an updated articulation of sustainability marketing as a flourishing interdisciplinary research area. As a result of our theory synthesis approach, this paper developed a sustainability marketing model, referred to as the new 3Ps of sustainability marketing—Preservation (Environment), Public (Society) and Performance (Economy) which add to the traditional 4Ps- “Product, Price, Place, and Promotion.” The paper further examines the role of these new 3Ps of sustainability marketing in fashion, considering the COVID-19 pandemic. The model offers a uniquely integrated framework for designing marketing strategies in the fashion industry consistent with sustainability marketing and aims to promote, communicate, and educate consumers who are either existing or potential customers of sustainable fashion brands. The framework encompasses segments of the fragmented fashion industry whilst mapping strategies for marketing sustainability and presenting new post-pandemic opportunities across all value-creation stages. Finally, we offer implications and directions for further research.
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Background and ObjectiveaaOur aim is to investigate the impact of COVID-19 on screen time among Lebanese high school students (grades 9–12).MethodsaaAn anonymous online questionnaire was distributed among 510 school students fromdifferent governorates in Lebanon;this included questions regarding screen time, food habits, andphysical activity. Psychological symptoms were assessed using the Generalized Anxiety Disorder-7items and Patient Health Questionnaire-9 items. Effects of screen time on sleep was evaluated usingthe Insomnia Severity Index and Bedtime Procrastination Scale.ResultsaaFemale students reported higher depression (p = 0.018) and anxiety (p = 0.023) thanmale students;however, there was no difference in their sleep. Insomnia, depression, and anxietywere highest among phone users. A screen time of more than 7 hours per day was significantly associatedwith higher depression (67.9%), anxiety (61.6%), insomnia (82.1%), and bedtime procrastination.It also indicated a shift toward a less healthy diet and light exercise.ConclusionsaaSeven hours of screen was found to develop depression and anxiety, exercisingless, eating a less healthy diet, and experiencing disturbed sleep among school adolescents
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The aim of this paper is to deeply analyze the Corona-Virus Diseases (Covid-19) using data mining based K-Means Clustering technique. Medical Science in data mining is an emerging field that has proposed a lot of advanced techniques in analysis of a particular disease. Treatment of coronavirus is getting more and more challenging due to complex structure, shape and texture of the virus. Therefore, by advancing in data mining, K-Means methodology has been proposed to analyze the covid-19s in the world. The advancement in this field created an urge in me to research more on the techniques and methodologies developed for covid-19 extraction. During the outbreak of an epidemic, it is of immense interest to monitor the effects of containment measures and forecast of outbreak including epidemic peak. To confront the epidemic, a simple K-Means model is used to simulate the number of affected patients of Coronavirus disease in Iraq. The inhibition effect or precautionary measures also influence the spreading of a pandemic. If the inhibition factor increases up to 50%, then 0.5 million patients will be existing in Iraq till the end of this year. This number will exceed 1 million, if precautionary measures decrease to 50%. The worst effects of the disease appear in the community if we remove all the barriers. In such a case, this malady may increase by affecting 55% population till the end of this month. This number will start to decrease after September._