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1.
5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) ; : 553-557, 2021.
Article in English | Web of Science | ID: covidwho-1886602

ABSTRACT

Stroke is a perplexing and lethal neurological condition and is the second leading cause of death worldwide. One of the severe repercussions induced by stroke is hemi paresis. It causes weakness or loss of function on one side of the body. It can be challenging to live with such a disability as it hinders normal day-to-day activities. It takes a multidisciplinary team of physicians, psychiatrists, and caretakers to treat patients suffering from this disorder. Therefore, it is of the utmost importance to constantly monitor and treat the patients to improve their chances of recovery. This process can be complicated due to patient safety concerns during a pandemic such as covid 19. It increases the risk as it increases the possibility of another stroke attack. It also decreases the treatment's effectiveness as physical contact between doctor and patients has been reduced to ensure safety from covid 19. In our work, we developed a remote IoT-based stroke monitoring system that measures the patient's movement. This data is then sent to the cloud servers, where the concerned medical professionals can remotely access them to analyze and monitor the patient's progress.

2.
Mausam ; 73(1):115-128, 2022.
Article in English | English Web of Science | ID: covidwho-1880647

ABSTRACT

This paper presents the comparative results of surface and satellite measurements made during the Phase 1 (25 March to 14 April), Phase 2 (15 April to 3 May) and Phase 3 (3 May to 17 May) of Covid-19 imposed lockdown periods of 2020 and those of the same locations and periods during 2019 over India. These comparative analyses are performed for Indian states and Tier 1 megacities where economic activities have been severely affected with the nationwide lockdown. The focus is on changes in the surface concentration of sulfur dioxide (SO2), carbon monoxide (CO), PM2.5 and PM10, Ozone (O-3), Nitrogen dioxide (NO2) and retrieved columnar NO2 from TROPOMI and Aerosol Optical Depth (AOD) from MODIS satellite. Surface concentrations of PM2.5 were reduced by 30.59%, 31.64% and 37.06%, PM10 by 40.64%, 44.95% and 46.58%, SO2 by 16.73%, 12.13% and 6.71%, columnar NO2 by 46.34%, 45.82% and 39.58% and CO by 45.08%, 41.51% and 60.45% during lockdown periods of Phase 1, Phase 2 and Phase 3 respectively as compared to those of 2019 periods over India. During 1st phase of lockdown, model simulated PM2.5 shows overestimations to those of observed PM2.5 mass concentrations. The model underestimates the PM2.5 to those of without reduction before lockdown and 1st phase of lockdown periods. The reduction in emissions of PM2.5, PM10, CO and columnar NO2 are discussed with the surface transportation mobility maps during the study periods. Reduction in the emissions based on the observed reduction in the surface mobility data, the model showed excellent skills in capturing the observed PM2.5 concentrations. Nevertheless, during the 1st & 3rd phases of lockdown periods AOD reduced by 5 to 40%. Surface O-3 was increased by 1.52% and 5.91% during 1st and 3rd Phases of lockdown periods respectively, while decreased by-8.29% during 2nd Phase of lockdown period.

4.
Journal of Global Operations and Strategic Sourcing ; 2022.
Article in English | Scopus | ID: covidwho-1878910

ABSTRACT

Purpose: This study aims to present a study on the supply chain process of a Myanmar-based pharmaceutical company (named ABC Pvt. Ltd. in this study) that produces pharmaceutical products across Myanmar and aims of bringing quality medical products and best care for Myanmar people’s health. The study aims to identify the key supply chain challenges and manage the opportunities executed by this pharmaceutical company to improve the supply chain process during the COVID-19 outbreak. Design/methodology/approach: This work used a case study and conducted semistructured interviews with the manager, senior managers and senior staff of the ABC Company to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the uncertainties, real-time information and agility in a digital supply chain using grey relational analysis (GRA) method. Findings: From the data analysis and results, “Impact of political factor,” “Delay in import process” and “Weak internet connection,” and “Weak knowledge of the use of digital platform,” “Poor information sharing in online by employees” and “Information flow from top management to operational level” have been identified as top and bottom three key challenges, respectively. “Inventory management,” “Selection of transport method” and “Operational cost”, and “Marketing and brand Innovation,” “Online delivery of products” and “E-commerce enablement (Launching applications, tracking system)” are identified as the top and bottom three managing the opportunities, respectively. Research limitations/implications: The findings of the study help to supply chain decision-makers of the company in their establishment of key challenges and opportunities during the COVID-19 era. As a leading company, it always tries to add value to its product through a supply chain system, effective management teams and working with skillful decision-making toward satisfying the demand on time and monitoring the supplier performance. Originality/value: The novelty of this study is to identify the key supply chain challenges and opportunities by the GRA method to rank them, considering the case of Myanmar pharmaceutical manufacturing company as a case-based approach to measuring its performance during the COVID-19 outbreak era. This work will assist managers and practitioners help to the company to provide optimal services to its consumers on time in this critical situation. © 2022, Emerald Publishing Limited.

5.
Lecture Notes on Data Engineering and Communications Technologies ; 124:341-352, 2022.
Article in English | Scopus | ID: covidwho-1877730

ABSTRACT

The pandemic that arose due to the novel Corona Virus Disease of 2019 (COVID) has become the biggest challenge of all time. The entire world’s population has stormed social media to express their opinions, emotions, and sentiments. This manuscript implements classical machine and deep learning approaches with static and stacked word embeddings to identify the sentiments of the COVID-19 tweets extracted from Twitter. The problem we have tackled in this manuscript is the multi-class classification problem for three and five classes, respectively. Our proposed deep learning model with stacked word embeddings has outperformed the individual static pre-trained embeddings representation, classical machine, and deep learning approaches altogether. The proposed model has proven useful in complex classification tasks such as identifying classes belonging to the same group of sentiments namely Extremely Negative and Negative, Extremely Positive and Positive. The experimental results also show the superior performance of stacked word embeddings for the peculiar contextual semantic comprehension from small tweets and dealing with the unbalancedness of the experimental dataset. We achieved the accuracy with stacked embeddings with accuracy being 73.01% and 84.25% for three and five classes, respectively. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

6.
Diabetic Medicine ; 39(SUPPL 1):71-72, 2022.
Article in English | EMBASE | ID: covidwho-1868606

ABSTRACT

Aims: To assess the quality of glycaemic surveillance and treatment of hyperglycaemia in patients with covid-19 treated with dexamethasone between a diabetic specialty ward (DW) and a respiratory ward (RW). Methods: 50 patients met inclusion criteria: covid-19 positive, treated with dexamethasone, based on a DW or RW. Data collected during November 2021 included frequency of capillary blood glucose (CBG) and ketone monitoring and treatment of hyperglycaemia. Anonymised data was collated and analysed using Microsoft Excel. Results were assessed against NHS trust and national guidelines. Recommendations assessed: • CBG monitoring four-times daily (QDS) on commencement of Dexamethasone • Ketone checks if CBG >12mmol/L • If two consecutive CBG readings >12mmol/L in 24 hours, start Humulin-I if insulin-naive or increase existing insulin dose. Results: CBG was checked QDS consistently in 16% of patients (26% DW, 4% RW). Ketones were not checked at all in 26% of patients who had at least one CBG reading of more than 12mmol/L (20% DW, 33% RW). 63% of patients who had two consecutive CBG readings of more than 12mmol/L were either started on Humulin-I or had their existing insulin dose increased (69% DW, 50% RW). Summary: Consistent glycaemic monitoring was seen in a minority of patients across both wards, with the DW achieving better results. These results reinforce the need for early involvement from the diabetes team and for improvement in education for non-diabetic speciality wards. Actions to be taken;present findings at departmental meeting, provide education for staff via posters, develop a hospital reminder system prompting QDS CBG monitoring when dexamethasone is prescribed.

7.
9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 ; : 330-336, 2022.
Article in English | Scopus | ID: covidwho-1863579

ABSTRACT

Coronavirus disease of 2019 (COVID-19) has made the situation challenging for higher education institutions. Students have been given the option to study either in offline or online mode. This has forced higher education institutions to conduct classes in a hybrid mode. Teaching in a hybrid mode has its unique challenges. Apart from the issues in delivering lectures, it has made Knowledge Management difficult. This study examines the problems faced by the educators from higher education institutions in delivering lectures in the hybrid mode and the problems faced by the institutions in Knowledge Management. The role of Information Technology in facilitating Knowledge Management is studied. This study uses a qualitative approach. The findings show that educators are facing challenging to deliver lecturers in a hybrid mode dually at the same time assimilation and dissemination of knowledge has become a challenge. It is also observed that Information Technology tool like Internet of Things (IoT) can play a significant role in capturing data and Knowledge Management. © 2022 Bharati Vidyapeeth, New Delhi.

8.
9th International Conference on Computing for Sustainable Global Development, INDIACom 2022 ; : 323-329, 2022.
Article in English | Scopus | ID: covidwho-1863576

ABSTRACT

Undoubtedly, technology has not only transformed our world of work and lifestyle, but it also carries with it a lot of security challenges. The Distributed Denial-of-Service (DDoS) attack is one of the most prominent attacks witnessed by cyberspace of the current era. This paper outlines several DDoS attacks, their mitigation stages, propagation of attacks, malicious codes, and finally provides redemptions of exhibiting normal and DDoS attacked scenarios. A case study of a SYN flooding attack has been exploited by using Metasploit. The utilization of CPU frame length and rate have been observed in normal and attacked phases. Preliminary results clearly show that in a normal scenario, CPU usage is about 20%. However, in attacked phases with the same CPU load, CPU execution overhead is nearly 90% or 100%. Thus, through this research, the major difference was found in CPU usage, frame length, and degree of data flow. Wireshark tool has been used for network traffic analyzer. © 2022 Bharati Vidyapeeth, New Delhi.

10.
Lung India ; 39(SUPPL 1):S86, 2022.
Article in English | EMBASE | ID: covidwho-1857386

ABSTRACT

Background: Tuberculosis (TB) is a communicable disease that is a major cause of illness and one of the leading causes of death. Until the COVID-19 pandemic, TB was the leading cause of death from a single infectious agent, ranking above HIV. Multi drug-resistant TB remains a public health crisis. In this situation, an attempt of using the shorter course Regimen to face the MDR-TB crisis as an alternate method proves to be promising. Therapy of MDR-TB using shorter course regimen is crucial and essential to explore, as it has the potential to increase the success of MDR-TB treatment. Methods: The proposed study was a hospital based, nonrandomized and without control group observational and prospective study, in cohort of 180 DRTB patients conducted at Nodal DRTB Centre, SNMC AGRA. Results: Among 180 patients 54% were male and 46% female. Maximum number of patients 39% in 21-30 years of age group.48% patients were known to their contacts.54% patients developed resistance due to failure of previous regimen.126 patients were reported with adverse effects. Cough was the most common clinical feature.46 completed the treatment.39% patients were declared cured. Conclusion: 70% of the patients faced adverse events during the course. 1.6% patients required change in regimen.61% completed the treatment and 39% were declared cured.

11.
Journal of the American College of Cardiology ; 79(9):2396-2396, 2022.
Article in English | Web of Science | ID: covidwho-1848963
12.
2022 International Mobile and Embedded Technology Conference, MECON 2022 ; : 547-552, 2022.
Article in English | Scopus | ID: covidwho-1840278

ABSTRACT

More than 400 million cases of the new coronavirus (COVID-19) have been confirmed since December 2019 in more than 200 countries. Since the spread of original COVID-19 virus SARS-CoV-2, thousands of mutations have been discovered. The most dominant ones are Alpha, Beta, Gama, Delta and Omicron variants, with the Omicron variant rapidly spreading and dominating the current phase of the COVID wave across the globe. It needs early detection and self-isolation to contain the virus. Molecular tests like rRTPCR are common for its detection. However, with the current spreading rate and lack of availability of large-scale testing laboratories, rapid diagnosis has become difficult. COVID-19 diagnosis from CT and X-ray images using deep learning techniques has been the subject of a lot of research in the last two years. This work presents a review of these studies sourced from top databases such as Web of Science and highlights challenges and research gaps with future research directions. © 2022 IEEE.

13.
Journal of Retailing ; 97(4):496-506, 2021.
Article in English | ProQuest Central | ID: covidwho-1837474

ABSTRACT

The retail industry is undergoing tremendous changes that are driven by technology, changing consumer tastes, economic pressures, competition, stakeholder relationships, environmental concerns, and governmental regulations. Our article explores analytics as a capability that helps retailers excel in this dynamic environment. We identify the reasons behind the trends in the retail industry and provide guidance for retail managers on how to improve customer relationship management using appropriate metrics and effective analytics. Our guidance to retail managers emphasizes the importance of brand recognition, explores tactics for enhancing customer experience, recommends establishing superior customer engagement, forging social connections among consumers, and rendering service and support to customers, and highlights a data-oriented approach to retailing. We conclude with suggestions for future research in this domain.

14.
Journal of Global Operations and Strategic Sourcing ; : 27, 2022.
Article in English | Web of Science | ID: covidwho-1822014

ABSTRACT

Purpose COVID-19 pandemic has exposed that even the best of the developed nations have surrendered to the devastations imposed on the global supply chains. The purpose of this study is to explore how COVID-19 has exaggerated the supply chain of production and distribution of Taiwan-based face masks and also investigate the conscientious factors and subfactors for it. Design/methodology/approach In this study, an analytical hierarchy processes (AHP)-based approach has been used to assign the criterion weights and to prioritize the responsible factors. Initially, based on 26 decision-makers, successful factors were categorized into five main categories, and then main categories and their subcategories factors were prioritized through individual and group decision-maker's contexts by using the AHP approach. Findings The results of this AHP model suggest that "Safety" is the most important and top-ranked factor, followed by production, price, work environment and distribution. The key informers in this study are stakeholders which consist of managers, volunteers, associations and non-governmental organizations. The results showed that good behavior of the employees under the "Safety" category is the top positioned responsible factor for successful production and distribution of face masks to the other countries with the highest global percentage of 15.7% and using sanitizers to protect health is the second most successful factor with the global percentage of 11.7%. Research limitations/implications The limitations faced in this study were limited to only Taiwan-based mask manufacturing companies, and it was dependent on the decisions of the limited company's decision-makers. Originality/value The novelty of this study is that the empirical analysis of this study has been based on a successful Taiwan masks manufacturing company and evaluates the responsible factors for the production and distribution of Taiwan masks to other countries during COVID-19.

15.
Solar Energy ; 238:203-215, 2022.
Article in English | ScienceDirect | ID: covidwho-1799708

ABSTRACT

Commercial and industrial (C&I) applications have been the most active in india’s onsite solar market. These applications account for almost three-quarters of the rooftop solar market in India. As a result of the COVID pandemic that began in 2020, solar installation slowed. The C&I market segment, on the other hand, is likely to recover and see a rise in solar installations. The C&I market has been forced to optimize its costs in light of the pandemic. In addition to helping companies accomplish these goals, rooftop solar systems with battery storage can also contribute to their social responsibility efforts. Rooftop solar systems with battery storage are also expected to grow in popularity. Battery prices are expected to reach $100 per kWh in roughly two years (by 2023), propelling the rooftop solar and battery storage sectors forward. Rooftop solar and Battery Energy Storage System (BESS) are ideal alternatives for behind-the-meter (BTM) applications in India due to their 90 GW of capacity. An Indian case study breaks down the costs of PV installation. This study examines the emerging technology trends in India's Commercial & Industrial Rooftop Solar market, as well as general advice for consumers and investors contemplating solar PV installations.

16.
Plant Science Today ; 9(2):427-437, 2022.
Article in English | Web of Science | ID: covidwho-1798655

ABSTRACT

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the causative agent of the current ongoing global pandemic COVID-19 is yet far away from the clutches of contemporary western medicines. With the lack of conventional drugs for this deadly disease the scope for the development of herbal formulations and Ayurvedic medication is finding a sound basis in the current scenario. The past two years has witnessed detailed and focused investigations on the biologically active constituents derived from a range of medicinal plants and their potential antiviral properties against SARSCoV-2. The promising results of these investigations have intrigued the medical and plant experts in pharmacognosy enough to consider herbal medicines and plant-based products as they are more effective in combating the COVID-19 crisis. However, a large-scale application of the same would require more focused and thorough research on this matter. This review is an attempt to describe the current and future prospects of using medicinal plants and herbal compounds as natural and sustainable alternative for treating COVID-19. The current article evaluates the various strong evidences from biochemical and molecular studies that have been investigated so far for the development of herbal formulations to combat COVID-19 with detailed focus on the most potential phytochemicals of medicinal plants studied in this regard namely, Withania somnifera (L.) Dunal, Cinchona officinalis L., Curcuma longa L., Ocimum sanctum L., Azadirachta indica A. Juss. and Tinospora cordifolia (Willd.) Miers.

17.
Minerva Respiratory Medicine ; 61(1):32-35, 2022.
Article in English | Web of Science | ID: covidwho-1791442

ABSTRACT

Pneumomediastinum and pulmonary embolism are known complications of the COVID-19 disease. Our patient developed spontaneous pneumomediastinum twice during hospital admission along with acute pulmonary embolism. We managed this patient conservatively sticking to the basics of critical care and had a successful outcome. In our extensive literature search, we could not find any other case in which a patient with COVID-19 not on mechanical ventilation developed spontaneous pneumomediastinum twice during the hospital admission which was successfully managed conservatively.

18.
Journal of the Indian Chemical Society ; 99(5), 2022.
Article in English | Scopus | ID: covidwho-1788122

ABSTRACT

In the present work, we have designed three molecules, acyclovir (A), ganciclovir (G) and derivative of hydroxymethyl derivative of ganciclovir (CH2OH of G, that is D) and investigated their biological potential against the Mpro of nCoV via in silico studies. Further, density functional theory (DFT) calculations of A, G and D were performed using Gaussian 16 on applying B3LYP under default condition to collect the information for the delocalization of electron density in their optimized geometry. Authors have also calculated various energies including free energy of A, G and D in Hartree per particle. It can be seen that D has the least free energy. As mentioned, the molecular docking of the A, G and D against the Mpro of nCoV was performed using iGemdock, an acceptable computational tool and the interaction has been studied in the form of physical data, that is, binding energy for A, G and D were calculated in kcal/mol. It can be seen the D showed effective binding, that is, maximum inhibition that A and G. For a better understanding for the inhibition of the Mpro of nCoV by A, G and D, temperature dependent molecular dynamics simulations were performed. Different trajectories like RMSD, RMSF, Rg and hydrogen bond were extracted and analyzed. The results of molecular docking of A, G and D corroborate with the td-MD simulations and hypothesized that D could be a promising candidate to inhibit the activity of Mpro of nCoV. © 2022 Indian Chemical Society

19.
Indian Journal of Pharmaceutical Education and Research ; 56(2):321-328, 2022.
Article in English | Web of Science | ID: covidwho-1780208

ABSTRACT

Human beings prefer a predictable and certain environment over an unpredictable and uncertain environment. No one predicted the coronavirus pandemic and it is not certain when the pandemic will come to an end. Pandemics not only affect the physical health but also the mental health of the public. An increase in anxiety and suicide rates has been reported during the previous pandemics and the same trend is also being observed in this current pandemic as well. Pandemics inevitably result in unpredictable and uncertain environments. Many studies have proven that unpredictability and uncertainty increase the levels of stress and anxiety in animals and humans. Coronavirus pandemic has caused many unpredictable and uncertain events resulting in increased confusion, frustration, stress and anxiety among the public. For instance, the institution of lockdowns was unpredictable and it was uncertain when the lockdowns will be unlocked. Similarly, events that unfolded around the initial touting of chloroquine and hydroxychloroquine as a possible therapeutic agent and later lack of evidence in support of these drugs resulted in extreme confusion and frustration. The uncertainty around if a vaccine for coronavirus will be developed and when it will become available for public use has also caused stress and anxiety. Current studies indicate that coronavirus is not just a respiratory virus but it also affects the kidneys, brain, heart and blood vessels. This unpredictable nature of the virus has caused further confusion and frustration. These unpredictable and uncertain events around the current pandemic might have increased the levels of stress and anxiety among the public.

20.
Cancer Research ; 82(4 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1779442

ABSTRACT

The optimal timing of commencing adjuvant endocrine therapy (ET) relative to adjuvant radiotherapy (RT) (i.e. concurrent with or sequential to radiotherapy) remains unknown. A systematic review performed by our team was unable to answer this question due to a lack of high quality, randomized data on concurrent versus sequential ET and RT. Surveys of physicians confirmed this uncertainty and highlighted theoretical concerns for increased side effects with concurrent treatment. Respondents showed keen interest in obtaining real world, randomized data to guide clinical practice. REaCT-RETT is a pragmatic, randomized, non-inferiority trial comparing concurrent and sequential ET and RT in early breast cancer (EBC). The primary endpoint will assess the change in ET side effects at baseline and 3 months post radiation, using the Functional Assessment of Cancer Therapy-Endocrine Subscale (FACT-ES), with primary analysis based on an analysis of covariance (ANCOVA). With a sample size of 176 patients (88 per arm), an ANCOVA would have 80% power (α=0.05) to detect effect sizes as small as 0.25 regardless of the correlation with covariates. It is hypothesized that concurrent therapy will be non-inferior to sequential therapy in terms of ET side effects. Secondary endpoints will examine RT toxicity, ET compliance, quality of S life, and cost-effectiveness. Patients with HR positive EBC planned to receive both adjuvant ET and RT were eligible. Patients who previously received ET for invasive breast cancer, or RT in the same breast, were excluded. The trial is conducted by The Ottawa Hospital's (TOH) innovative Rethinking Clinical Trials (REaCT) program (https://react.ohri.ca/) which strives to improve access to patient-centered, pragmatic clinical trials by removing barriers for patients and researchers. Integral features of the program include broad eligibility criteria, a verbal consent model, and pragmatic data collection and assessment procedures. REaCT is the largest pragmatic cancer clinical trials program in Canada, with over 3, 200 patients randomized in 18 clinical trials at 15 sites across Canada. REaCT-RETT accrued patients from September 2019 to January 2021. Data collection is ongoing, with final patient follow up expected April 2022. The timing of accrual provided a unique opportunity to adapt in response to restrictions due to the COVID-19 pandemic, which began to impact trial sites in March 2020. The target sample size was met with 262 patients randomized (1:1) across 3 sites in Ontario, 98% from TOH. A mean of 19 patients/month were accrued prior to the pandemic, compared to a mean of 13 patients/month after March 2020. Twenty-two patients were removed due to withdrawal of consent, ineligibility, or physician choice, and the pandemic was not a significant contributing factor. Since March 2020 there have been 772 patient follow ups, of which 47% (364/772) have been virtual. Only 10% (102/1028) of trial mandated appointments have been missed to date. Compliance with baseline and 3-month FACT-ES questionnaires for the primary endpoint in evaluable patients was 90% (215/240) and 83% (198/240), respectively. The pandemic posed several challenges to the REaCT-RETT study including a decline in patient accrual, poor accrual at peripheral sites due to delayed opening, and a rapid switch to virtual patient care. However, the nimble REaCT methodology enabled virtual patient consent and data collection during the pandemic, allowing the trial to continue successfully, with final data expected for presentation summer 2022. Finally, despite the challenges of COVID-19 we have seen that patients and physicians remain interested in research, and we are applying valuable lessons learned to forthcoming REaCT trials to strengthen their performance during and beyond the ongoing pandemic.

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