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2.
Thorac Cardiovasc Surg ; 2022.
Article in English | PubMed | ID: covidwho-2000975

ABSTRACT

The coronavirus disease 2019 (COVID-19) is an infection caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that produces respiratory symptoms and has serious consequences for people's cardiovascular systems (CVS). It is a severe issue and a major task not only for health care experts but also for governments to contain this pandemic. SARS-CoV-2 is the seventh member of the human coronavirus family to be implicated in this zoonotic outbreak. COVID-19's CV interactions are comparable to those of SARS-CoV, Middle East respiratory syndrome (MERS-CoV), and influenza. Those who have COVID-19 and underlying cardiovascular diseases (CVDs) are at a higher risk of serious illness and mortality, and disease has been linked to several direct and indirect CV consequences. COVID-19 causes CVDs such as arrhythmias, cardiac arrest, cardiogenic shock, myocarditis, stress-cardiomyopathy, and acute myocardial damage (AMD) as a consequence of acute coronary syndrome. The provision of CV care may expose health care professionals to risk as they become hosts or vectors of viral transmission. It binds to the angiotensin-converting enzyme receptor, causing constitutional and pulmonary signs in the beginning, and then as the infection advances, it affects other organs such as the gastrointestinal tract, CVS, neurological system, and so on. COVID-19 mortality is increased by underlying CVDs comorbidities.

3.
Ieee Access ; 10:78268-78289, 2022.
Article in English | Web of Science | ID: covidwho-1978322

ABSTRACT

The fake news "infodemic", facilitated by social media and mobile message sharing platforms, has progressed from causing a nuisance to seriously impacting law and order through deliberate and large-scale manipulation of public sentiments. There are social, religious, political, and economic dimensions to the fake news phenomenon, providing enough motivation for interested parties to push biased opinions, claims, conspiracies and fraud to many naive information consumers. The ease with which fake news can be created and propagated makes it extremely challenging to detect and mitigate. To combat the fake news, the researchers have utilized mechanisms which are largely based on Artificial Intelligence (AI) algorithms and social network analysis. However, no viable solution has yet been deployed at a scale. This paper present a comprehensive survey on combating fake news and evaluates the challenges involved in its detection with the help of existing detection mechanisms and techniques to control its spread. The challenges associated with combating fake news have been addressed based on the various aspects such as psychological, economic, and technical. Furthermore, we consider the fake news combat spectrum to analyze the stakeholder interventions due to the spread of fake news. Finally, various technology-based solutions have been presented for combating fake news and the associated future challenges and opportunities.

4.
IEEE Access ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-1961361

ABSTRACT

Recently, healthcare stakeholders have orchestrated steps to strengthen and curb the COVID-19 wave. There has been a surge in vaccinations to curb the virus wave, but it is crucial to strengthen our healthcare resources to fight COVID-19 and like pandemics. Recent researchers have suggested effective forecasting models for COVID-19 transmission rate, spread, and the number of positive cases, but the focus on healthcare resources to meet the current spread is not discussed. Motivated from the gap, in this paper, we propose a scheme, <italic>ABV-CoViD</italic> (Availibility of Beds and Ventilators for COVID-19 patients), that forms an ensemble forecasting model to predict the availability of beds and ventilators (ABV) for the COVID-19 patients. The scheme considers a region-wise demarcation for the allotment of beds and ventilators (BV), termed resources, based on region-wise ABV and COVID-19 positive patients (inside the hospitals occupying the BV resource). We consider an integration of artificial neural network (ANN) and auto-regressive integrated neural network (ARIMA) model to address both the linear and non-linear dependencies. We also consider the effective wave spread of COVID-19 on external patients (not occupying the BV resources) through a θ- ARNN model, which gives us long-term complex dependencies of BV resources in the future time window. We have considered the COVID-19 healthcare dataset on 3 USA regions (Illinois, Michigan, and Indiana) for testing our ensemble forecasting scheme from January 2021 to May 2022. We evaluated our scheme in terms of statistical performance metrics and validated that ensemble methods have higher accuracy. In simulation, for linear modelling, we considered the <italic>ARIMA</italic>(1, 0, 12) model, and <italic>N</italic>8-3-2 model for ANN modelling. We considered the θ- <italic>ARNN</italic>(12, 6) forecasting. On a population of 2, 93, 90, 897, the obtained mean absolute error (MAE) on average for 3 regions is 170.5514. The average root means square error (RMSE) of θ-ARNN is 333.18, with an accuracy of 98.876%, which shows the scheme’s efficacy in ABV measurement over conventional and manual resource allocation schemes. Author

5.
BJOG: An International Journal of Obstetrics and Gynaecology ; 129:136, 2022.
Article in English | EMBASE | ID: covidwho-1956656

ABSTRACT

Objective: Clinical skill development is an essential part of speciality training in Obstetrics and Gynaecology. The COVID-19 pandemic has profoundly affected this with the move to remote learning, social distancing rules, increased workload, staff shortages and re-deployment. In order to improve access to clinical skills training it is imperative that we utilise the time spent in clinical settings such as labour ward and theatres to maximise training opportunities and skill development. Design: Qualitative study. Method: A pre-implementation online survey was carried out to analyse clinical skill training opportunities available to obstetric trainees and midwives on labour ward. In accordance with survey results, a trolley was assembled with the required equipment and easy to follow guides for carrying out several practical procedures and management of key emergency scenarios. The initial procedures and scenarios covered included;management of labour and delivery, post-partum haemorrhage, suturing and intrauterine device insertion. A log of the trolley's usage is being maintained and a follow up survey will be carried out in 3 months. Results: As per the initial survey, 90% of the respondents said that they were involved in ad hoc teaching only once a month or less. More than 80% trainees reported that they found impromptu teaching using models and aids on labour ward very useful and more than 95% said that they would attend such training if available. The most common procedures and/or skills identified as areas that should be covered included suturing, fetal scalp electrode attachment, breech vaginal birth and instrumental delivery. This project has significantly boosted the clinical teaching in our unit. The initial response from the log records revealed regular use on daily basis by trainee doctors as well as midwives. Operative vaginal delivery is the most utilised procedure to date. The first follow up survey will be conducted in April to assess the impact and analyse the scope for further expansion to include other aspects such as CTG training. Conclusion: The presence of the trolley along with materials and aids has helped create a learning environment on the labour ward with more frequent impromptu training even during busy shifts. It has instilled great enthusiasm amongst the trainees as well as trainers as evident from the verbal feedback and log records. A follow up survey and its statistical analysis will be carried out to substantiate our conclusion.

6.
International Journal of Managerial Finance ; 2022.
Article in English | Scopus | ID: covidwho-1922493

ABSTRACT

Purpose: The purpose of the present study is to contribute to the existing literature by examining the nexus and the connectedness between classes S&P Green Bond Index, S&P GSCI Crude Oil Index, S&P GSCI Gold, MSCI Emerging Markets Index, MSCI World Index and Bitcoin, during the pre-and post-Covid period beginning from August 2011 to July 2021 (10 years). Design/methodology/approach: The study employs time-varying parameter vector autoregression and Quantile regression methods to understand the impact of events on traditional and upcoming asset classes. To further understand the connectedness of assets under consideration, the study used Geo-Political Risk Index (GPR) and Global Economic Policy and Uncertainty index (GPEU). Findings: Findings show that these markets are strongly linked, which will only expand in the post-pandemic future. Before the pandemic, the MSCI World and Emerging Markets indices contributed the most shocks to the remaining market variables. Green bond index shows a greater correlation and shock transmission with gold. Bitcoin can no longer be used as a good hedging instrument, validating the fact that the 21st-century technology assets. The results further opine that under extreme economic consequences with high GPR and GPEU, even gold cannot be considered a safe investment asset. Originality/value: Financial markets and the players who administer and communicate their investment logics are heavily reliant on conventional asset classes such as oil, gas, coal, nuclear and allied groupings, but these emerging asset classes are attempting to diversify. © 2022, Emerald Publishing Limited.

7.
Chemistryselect ; 7(22):5, 2022.
Article in English | Web of Science | ID: covidwho-1894629

ABSTRACT

A novel coronavirus disease (Covid-19) epidemic identified in a capital of Hubei territory of China in the month of December 2019. Covid-19 was caused by severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) and WHO announced it as pandemic. Health professionals were found at more risk due to frontline patronage during the pandemic. The only way to protect the health of frontliners is to appropriate utilization of PPEs. In this situation, there is always a concern about the shortage of PPEs;on the other hand, environmental consequence is the major issue because of its disposal. Plastic waste pyrolysis may play a major role to modify this waste. Pyrolysis is known as a tertiary recovery process which gives three recyclable end products: an oil, gas, and char. Generally, PPE waste has predominant hydrocarbon polymers which can be utilized as a fuel or feedstock by the synthetic enterprises. In this study, we have used pyrolysis method to transform 50gm PPE waste into hydrocarbons, which can be utilized either as powers or as feedstock in the petrochemical business. The maximum yield of fluid (35 %) was acquired at the reaction performed at 100 degrees C along with the cooling water at 17.59 degrees C. Maximum wax (11.02 %) was produced at 500 degrees C. The findings of this study indicate that non-biodegradable plastic waste may be transformed into useful products which may further be utilized in demanding segments. We have also tried to explore various potential applications of another product of this study i. e., oil.

8.
American Journal of Respiratory and Critical Care Medicine ; 205:1, 2022.
Article in English | English Web of Science | ID: covidwho-1880646
9.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880625
10.
American Journal of Respiratory and Critical Care Medicine ; 205:2, 2022.
Article in English | English Web of Science | ID: covidwho-1880624
11.
1st International Conference on Technologies for Smart Green Connected Society 2021, ICTSGS 2021 ; 107:4503-4516, 2022.
Article in English | Scopus | ID: covidwho-1874782

ABSTRACT

“Do not put all eggs in one basket”. This risk management principle applies to every other industry whether it be manufacturing or banking. Interest income is believed to be a bank's primary source of income. Banks diversify their operations to generate non-interest income and lower their total risk exposure. Applying panel-data regression, the study analyzes and compares the intensity of diversification of income sources between public and private sector banks in India, using secondary data for Indian financial years 2012-13 to 2020-21. It utilizes RAROA and z-score to examine the impact of income diversification on profitability and risk, respectively. It discovered that private banks are more diversified than public banks. With low levels of diversification, public banks had a positive impact on profitability and risk. This is evident from research that banks leverage income diversification as a tool to fight covid-19 backed slowdown. © The Electrochemical Society

12.
Modern Pathology ; 35(SUPPL 2):383, 2022.
Article in English | EMBASE | ID: covidwho-1857729

ABSTRACT

Background: In the last decade, online social networks have emerged as an effective and convenient platform for professional networking and education. Using LinkedIn, Twitter, Doximity, and Facebook, pathologists can easily reach out to a global audience and raise the public profile of pathology. Today, most social media content in Pathology is either photographic or textual. Explainer videos convey a complex topic concisely and engagingly using a storyboard, stock images, background audio, and video editing. This work describes the workflow for creating a clinician-oriented five-minute explainer video and serves as a template for any pathologist aspiring to create video-based educational content. Design: A pathologist board-certified in molecular genetic pathology collated emerging information on mutations discovered in SARS-CoV-2 variants. Sources included open-source variant trackers (www.nextstrain.org), peer-reviewed articles, summaries published in Nature Reviews, and online resources of public health organizations. A synopsis of this data was uploaded to a digital marketplace (www.fiverr.org) to create a voiceover and illustrations. On receipt of the voiceover and illustrations, the pathologist created the explainer video using Camtasia, a video editing software from Techsmith Inc. (Okemos, Michigan). The video's final version was uploaded on the pathologist's LinkedIn profile and his health system's YouTube account. Results: The explainer video entitled, 'Review of Mutations and Pathogenesis of the Delta variant of SARS-CoV-2', covered the basics of COVID-19, binding of ACE2 receptors with the S-protein of SARS-CoV-2, and the effects of four key mutations (D614G, P681R, L452R, and T478K) on receptor binding/immune evasion. It was uploaded on the authors' LinkedIn profile and hospital's YouTube account on 09/10/21. As of 09/26/21, both versions had 1585 views (combined). The LinkedIn version had 802 views from 719 unique viewers, with 91% (644/719) from outside the pathologist's metropolitan area. After watching this video, 26% (190/719) viewers visited the pathologist's LinkedIn profile. Conclusions: In a world beset by medical misinformation, the explainer video format can provide a positive public platform for pathology education and awareness. With an average viewership of over 100 views/day in the first 14 days of online release, this example demonstrates that explainer videos are an economical, scalable, and global solution for education as well as new professional connections.

13.
Benchmarking-an International Journal ; : 27, 2022.
Article in English | Web of Science | ID: covidwho-1853325

ABSTRACT

Purpose This study aims to identify the barriers to building supply chain resilience and assess the contextual relationship between them in the Indian micro, small and medium enterprise (MSME) sector for the post COVID-19 era. Design/methodology/approach Barriers to supply chain resilience were extracted from the extant literature and were evaluated using the grey sets and Decision-Making Trial and Evaluation Laboratory (DEMATEL) approach from strategic, tactical and operational business perspectives. The responses from experts on the identified barriers were collected through a structured questionnaire. The prominence-net effect results obtained after the DEMATEL application helped identify the most prominent barriers, their net cause and effect, and their correlation with each other. Findings A total of 16 barriers to resilience, identified from the literature, were considered for analysis. The findings of the study revealed that the lack of flexibility is the most critical causal barrier to building a resilient supply chain. Lack of planned resource management was also found to be an influential barrier. The study also identified the supply chain design, need for collaboration and technological capability as important factors for the MSME sector to focus on. Research limitations/implications The study is limited to assessing barriers to the supply chain resilience of MSMEs in India. More extensive research may be needed to reveal the global trend. Practical implications The study is significantly important for the MSMEs looking to establish resilient supply chains. Managers can use the findings to identify the weak links in the supply chain for strategic and tactical planning and can take corrective actions. Originality/value The study pinpoints the key linkages between barriers that impede MSMEs to make their supply chains resilient and robust to mitigate the impact of future disruptions and adversities. The work may be used by practitioners to further their attention on the significant challenges.

14.
IEEE Access ; 2022.
Article in English | Scopus | ID: covidwho-1788612

ABSTRACT

Cryptographic forms of money are distributed peer-to-peer (P2P) computerized exchange mediums, where the exchanges or records are secured through a protected hash set of secure hash algorithm-256 (SHA-256) and message digest 5 (MD5) calculations. Since their initiation, the prices seem highly volatile and came to their amazing cutoff points during the COVID-19 pandemic. This factor makes them a popular choice for investors with an aim to get higher returns over a short span of time. The colossal high points and low points in digital forms of money costs have drawn in analysts from the scholarly community as well as ventures to foresee their costs. A few machines and deep learning algorithms like gated recurrent unit (GRU), long short-term memory (LSTM), autoregressive integrated moving average with explanatory variable (ARIMAX), and a lot more have been utilized to exactly predict and investigate the elements influencing cryptocurrency prices. The current literature is totally centered around the forecast of digital money costs disregarding its reliance on other cryptographic forms of money. However, Dash coin is an individual cryptocurrency, but it is derived from Bitcoin and Litecoin. The change in Bitcoin and Litecoin prices affects the Dash coin price. Motivated from these, we present a cryptocurrency price prediction framework in this paper. It acknowledges different cryptographic forms of money (which are subject to one another) as information and yields higher accuracy. To illustrate this concept, we have considered a price prediction of Dash coin through the past days’prices of Dash, Litecoin, and Bitcoin as they have hierarchical dependency among them at the protocol level. We can portray the outcomes that the proposed scheme predicts the prices with low misfortune and high precision. The model can be applied to different digital money cost expectations. Author

15.
Natural Product Communications ; 17(3), 2022.
Article in English | EMBASE | ID: covidwho-1770090

ABSTRACT

The COVID-19 pandemic has posed a significant threat to human health due to the lack of drugs that can potentially act against SARS-CoV-2. Also, even after the emergency approval of WHO, the vaccines’ efficacy is still a question, and people are getting reinfections. Previous studies have demonstrated the efficacy of traditional medicinal plants against influenza and SARS coronavirus. The present article aims to review potential phytochemicals from Indian medicinal plants that may be used against SARS-CoV-2. Articles published in the English language between 1992 and 2021 were retrieved from Embase, PubMed, and Google scholar using relevant keywords, and the scientific literature on efficacies of Indian medicinal plants against SARS-CoV and influenza virus were analyzed. The initial search revealed 1304 studies, but, on subsequent screening, 115 eligible studies were reported. Twenty research articles investigating traditional medicinal plant extracts and metabolites against SARS-CoV and influenza A virus in in vitro and in vivo systems satisfied the search criteria. The studies reported that plant extracts and active compounds such as glycyrrhizin, 14-α-lipoyl andrographolide, and curcumin from medicinal plants such as Yashtimadhu (Glycyrrhiza glabra), Bhunimba (Andrographis paniculata), and Haridra (Curcuma longa) are effective against the various phases of the virus life cycle, viz., virus-host cell attachment, viral replication, 3CL protease activity, neuraminidase activity, adsorption and penetration of the virus. As per ancient Indian literature, plants in Ayurveda possess Rasayana (revitalizing) and Jwara hara (antipyretic, anti-inflammatory) properties. This evidence may be used to conduct experimental and clinical trials to study the underlying mechanisms and efficacy of antiviral properties of Indian medicinal plants against SARS-CoV-2.

16.
12th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2021 and 11th World Congress on Information and Communication Technologies, WICT 2021 ; 419 LNNS:685-699, 2022.
Article in English | Scopus | ID: covidwho-1750572

ABSTRACT

This research focuses on analysing the sentiments of people pertaining to severe periodic outbreaks of COVID-19 on two junctures – First Wave (Mar’20 & Apr’20) and Second Wave (Jun’21 & Jul’21)-since the first lockdown was undertaken with a view to curb the vicious spread of the lethal SARS-Cov-2 strain. Primarily, the objective is to analyse the public sentiment – as evident in the posted tweets - relating to the different phases of the pandemic, and to illuminate how keeping an eye on change in the tenor and tone of discussions can help government authorities and healthcare industry in raising awareness, reducing panic amongst citizens, and planning strategies to tackle the monumental crisis. Considering the daily volume of social media activity, in our project, we scoped to analyse the Tweets related to the two different pandemic stages – The First wave and the Second wave – by implementing Text Mining and Sentiment Analysis, subfields of Natural Language Processing. To manually extract tweets from the platform, we used Twitter API coupled with Python’s open-source package using a set of COVID-19-related keywords. Crucially, before finalising the project pipeline, we conducted a thorough secondary research to find the solutions and methodologies implemented in our area of interest. We listed the current works and attempted to plug the gaps in those via our experiment. We used several classification and boosting algorithms to create a framework to distinguish the textual data of the tweets. Relevant scope, limitations, and room for improvements have been discussed comprehensively in the upcoming sections. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

17.
Global Finance Journal ; 51:22, 2022.
Article in English | Web of Science | ID: covidwho-1747982

ABSTRACT

In 2020, ESG funds that invest in companies that score higher on environmental, social, and governance measures witnessed an increase in investment compared to 2019. Understanding the causal relationship and spillover between these two types of indexes may help investors determine if clean energy indexes follow the same trend as conventional indexes or the reverse. Additionally, investors would benefit from understanding this causation in both the pre- and post-Covid-19 eras. We conceive this study to plug this gap and advance the knowledge in this critical area. We study the causality and spillover between NASDAQ clean energy indexes, and their corresponding alternatives namely, NASDAQ Composite Index and NASDAQ Global Select Market Composite using the daily data and from 1 st January 2011 to 29 th June 2021. We apply the Granger-Causality test and the spillover models approach by Diebold and Yilmaz (2012) and Barunik and Krehlik (2018) to determine any medium-run, or long-run causality, and spillover between the indexes under reference, respectively. Our results suggest us to observe that both sustainable and green indexes exhibit bi-directional causality where both sets of indexes impact each other in the long-run. Additionally, after the emergence of the COVID-19 pandemic, the connectivity between the two sets of indices rose significantly. Our findings also suggest that the investors will not lose on risk-adjusted returns if they chose to go green. With the investors' ability to shift towards green investment without losing on financial returns, it shall become even easier for businesses to steer their operations.

18.
Managerial Auditing Journal ; 2022.
Article in English | Scopus | ID: covidwho-1741119

ABSTRACT

Purpose: This study aims to examine the challenges posed by COVID-19 restrictions for audit processes in India and explore the perceptions of the profession on how technology was leveraged to conduct audits during this period. The opinions of auditors on future changes in post-COVID-19 audit practices and processes are also explored. Design/methodology/approach: Semi-structured interviews were conducted with senior auditors working in various audit firms in major business centers in India and subjected to content and thematic analysis using the institutional theory perspective. Findings: The auditing profession used technology to respond to COVID-19-imposed disruptions of established audit process and practices while maintaining the legitimacy of audit reports. The findings indicate that auditors now seem to strongly support the integration of emerging technologies into their auditing practices post-COVID to ensure data accuracy and transparency. The interviewees displayed keen interest in continuing remote and in-person audits to maintain audit quality in the future. The experience of COVID-19 appears to have forced the auditing profession to overcome their reluctance to adopt technologies that were previously used by only Big 4 and large audit companies. Practical implications: The results will be of particular interest to various stakeholders concerned with aspects of the acceptance of technology-assisted audit reports such as legitimacy, required infrastructure, cost involvement and resistance to change. The findings will also assist professional bodies and policymakers in both developed and developing economies in devising useful strategies to promote technology-aided auditing during and after COVID-19. Limitations posed by inadequate infrastructure and resistance to changes must be overcomed before implementation of technology-aided audits. Originality/value: As COVID-19 pandemic is a recent phenomenon, to the best of the authors’ knowledge, this study is one of the first few studies that have examined the use of technology to facilitate audits during the COVID-19 period, more specifically from a developing economy perspective. © 2022, Emerald Publishing Limited.

19.
IEEE Transactions on Engineering Management ; 2022.
Article in English | Scopus | ID: covidwho-1731040

ABSTRACT

This article examines the Google Trends data related to the second COVID-19 wave in India. We investigate the phenomenon of cyberchondria, which potentially causes individuals to avoid getting tested and quarantined directly upon experiencing symptoms for fear of losing their salaries or jobs. We utilize Google Trends data to predict future disease statistics, like the pandemic's impact on human activities and health-related issues in India. By means of a bootstrapped Pearson correlation, a time-lead correlation, and a quantile regression, we found a strong relationship between Google Trend searches and COVID-19 cases. Contextualizing the second COVID-19 wave in India through the lenses of cyberchondria and protection motivation theory, our article notes that, when people develop COVID-19 symptoms, they turn to Google for confirmation and treatment, rather than getting themselves checked early, only getting medically tested, and treated when their health deteriorates. At that stage, given the patients’critical conditions, hospitalization is the only option. This places an unsustainable burden on hospitals, resulting in capacity constraints and increased mortality rates. We suggest using Google Trends data to forecast COVID-19 waves and mobilize the health infrastructure to save lives and facilitate friction-free growth. IEEE

20.
Indian Journal of Forensic Medicine and Pathology ; 14(Special Issue 2):188-191, 2021.
Article in English | Scopus | ID: covidwho-1727128

ABSTRACT

Virtual Clinic is a web based software application, where patients can consult with physicians, psychologists, therapists, and other health professionals. No physical presence of the patient is required in the virtual clinic. It is much better during the examination if the disease does not require it as the obligatory diagnostic prerequisite. The web-based VC has been designed for functional and nonfunctional purposes and specifications. These criteria have been met through interviews that have semi structured and open-ended questions on disease evaluation by medical practitioners. Finished questions concerning the evaluation by the experience of the disease. And if s a very open source application that any user can link a shared issue to a conference. This virtual clinic was used during lockdown due to Covid-19. There have been many lock-downs in countries all over the world. This was the only option during the pandemic. In developing the application, we were particularly concerned about the provision of services and the reliable, secure, and efficient storage of data. Here, the non-functional and functional requirements are proposed along with such clinic's design. Such requirements were collected depending on the input that medical practitioners have specified via interviews that had open ended and semi structured questions related to assessment of disease according to their experience. © 2021, Indian Journal of Forensic Medicine and Pathology. All rights reserved.

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