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This paper is prepared to identify the influence of the Internet of things and its aspects in digital marketing during the COVID-19 pandemic. The research examines the various aspects of digital marketing before and after the pandemic. The paper also evaluates the tools of IoT for digital marketing. The COVID-19 pandemic has inevitably resulted in digital technologies due to social distancing customs and nationwide lockdowns. It has been found that the COVID-19 outbreak has had an impact on marketing in general and digital marketing in particular. IoT and digital technologies have become essential enablers of connectivity, allowing people to maintain their everyday lives while connecting in digital ways to which they have never been connected before. In this research, the investigator uses secondary data to obtain reliable results. This research methodology employs a descriptive qualitative approach to analyze diverse digital marketing and IoT. In addition, this study proposes a more straightforward method for predicting customer tastes and preferences on digital platforms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The prevalence of Pheochromocytoma in pat ient with hypertension is 0.1 -0.6%. These types of tumours are known for unpredictable perioperative course and hemodynamic instability. Various different drugs and anaesthesia techniques can be used to tackle these situations. Dexmedetomidine is emerged as newer agent with better hemodynamic stability, reducing requirement of other anaesthesia drugs, blunting of sympathoadrenal response in resection of Pheochromocytoma. We report four cases operated between January 2021 to June 2021.Preoperative preparation was done with α and β blockade. Dexmedetomidine was used during induction as 1 mcg/kg over 10 mins followed by 0.7mcg/kg/hr intraoperatively. Combination of Dexmedetomidine, Fentanyl, NTG, Isoflurane and Epidural analgesia was used. IF needed boluses of Esmolol and Labetalol were used during tumor manipulation. All the patients had an uneventful perioperative course. Dexmedetomidine with pre-operative α and β blockade reduce the need of other drugs intraoperatively and can be used as anaesthetic adjunct to maintain steady hemodynamic.
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Background: cardiovascular disease comprising of mostly ischemic heart disease and stroke are leading cause of death worldwide. WHO estimates that India accounts for just over a fifth of these deaths. A thorough autopsy under expert supervision and histomorphological examination of heart plays an essential part to confirm the cause of death. Aims and objectives: This study was conducted to study the spectrum of histopathological changes in ischemic heart disease. Material and methods: A retrospective study of 252 cases of formalin fixed heart specimen was undertaken in the Department of Pathology, Chhattisgarh Institute of Medical Sciences, Bilaspur, Chhattisgarh. Out of 252 specimen, 32 specimen of heart showed autolytic changes and hence their histomorphological findings were not included in the study. A detailed gross and microscopic examination was performed, and findings were correlated with available clinical data to establish the cause of death. Result: Atherosclerosis was the most common lesion found in 124 cases (64%) followed by medial hypertrophy in 56 cases (28%) and intimal hyperplasia in 46 cases (23%). Other frequent findings were disruption of myocardial architecture 44 cases (22%) and patchy interstitial fibrosis 47 cases (23.5%). Also seen was presence of collateral formation in 39 cases (19.5%) and recanalization in 22 cases (11%). Microthrombi in circulation was seen in 27 cases (13.5%). These cases could have been the undiagnosed covid patients. Fibromuscular dysplasia was seen in 12 cases (6%) and thickening of pericardial fat in 10 cases (5%). Fibrous cap formation was seen in 7 cases (3.5%) and transmural inflammation in 12 cases (6%). Other less common findings were presence of Lines of Zhan in 7 cases (3.5%), Giant cell arteritis in 2 cases (1%) and dissection of aorta in 2 cases (1%). Conclusion: Atherosclerosis was found out to be the most common lesion responsible for causing mortality.
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A mask on the face has become a new normal lifestyle due to the Covid-19 pandemic. Even after a year, spread of corona virus is increasing and people cannot go out without wearing a mask. All service providers in day- to-day life don't allow their customers avail their services without mask. Face mask detection has really been one of the most common and trendy as well as an important topic in today's time to help people take precautions and don't forget to wear their masks. In this article, we have presented a face mask detector using some basic machine learning packages in-built in python like TensorFlow, Keras, OpenCV, MobileNet. © 2021 IEEE.
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SARS-CoV-2, also known as COVID-19, is a novel coronavirus that has spread from Wuhan, China to every continent except Antarctica. On March 11, 2020, the World Health Organization (WHO) changed the situation's classification from a public health emergency of international concern to a pandemic. To date (17 April 2021), the novel coronavirus - officially known as "severe acute respiratory syndrome coronavirus 2," or SARS-CoV-2 for short - has caused over 140 Million infections and approximately 3 Million deaths around the world. In INDIA, the virus has infected nearly 14.3 Million people, with nearly 1,74,000 of them dying. (April 17, 2021) We have conducted a literature search around pub Med, Medline, Scopus, WHO, and web of science to distinguish the effect of myth vs. truth about COVID 19. Present study concludes Citizens' consciousness and the avoidance of misconceptions play a critical role in managing the pandemic, and as a result of this awareness, India's fatality rate is at 3.3 percent, with a recovery rate of 12.02 percent, according to the Health Ministry of India. The extraordinary effort to attain widespread vaccination coverage has been greeted with an assault of incorrect and misleading information. Misinformation has the potential to harm vaccination uptake. Debunking misleading claims is a prominent way of combating vaccination misinformation. As a result, dealing with COVID-19 vaccination disinformation involves proactive measures to "immunise the public against misinformation."
ABSTRACT
Objective: To evaluate stroke code time metrics and frequency of rt-PA administration in emergency department (ED) stroke codes evaluated at bedside versus telemedicine. Background: Telemedicine allows for increased access to acute stroke care. Data must be examined regarding differences in stroke code time metrics and acute thrombolytic use in Hub bedside compared to Spoke telemedicine evaluations to optimize care. Design/Methods: We retrospectively reviewed prospectively collected data from an IRBapproved registry. The sample included consecutive stroke code activations at an academic, Comprehensive Stroke Center evaluated at bedside (BG) compared to aggregate telemedicine sites (TG) from 10/1/2013-6/30/2020. We included all rt-PA treated patients. Providers were the same in both groups. We assessed 1) time from ED arrival to treatment decision, 2) ED arrival to rt-PA administration, and 3) treatment rates between groups. Groups were compared via chi-squared, logistic regression, t-test, and Pairwise Wilcoxon where appropriate. Analyses were unadjusted and adjusted for NIHSS as appropriate. Results: In total, 876 patients received rt-PA. There was no significant difference in patients receiving IV rt-PA only versus IV rt-PA and endovascular therapy between BG and TG (p=0.45). There was no significant difference in time from ED arrival to treatment decision between groups ((xBG 35.0 min vs TG 35.0 min;χBG: 35.3 min vs TG: 37.7 min;p=0.09). There was no significant difference in time from ED arrival to rt-PA administration between groups (xBG 53.0 min vs TG 55.0 min;χBG: 57.2 min vs TG: 58.3 min;p=0.69). There was no difference in rt-PA treatment rates amongst the telemedicine spoke sites (p=0.45). Conclusions: There were no significant differences in stroke code time metrics or rt-PA treatment rates in beside versus telemedicine stroke assessments in this study. Ensuring parity in stroke code evaluation is critical as telemedicine use increases due to the COVID-19 pandemic and its implication on the future of healthcare.
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Disruption at the physical workplace, developed by threats like the coronavirus, triggers revisiting old assumptions and exploring opportunities for new ways of remote working. With the global epidemic spreading, businesses are gearing up with the managers and their respective teams to work from home (WFH). This research has offered a setting for advancing understanding of virtualization of WFH process by exploring the factors that enable or constrain the information and communication technology (ICT) enabled virtualization of processes in employee’s WFH process through empirical support for the process virtualization theory (PVT). Setting pandemic outbreak as a context, outcome of this research is reliant on two independent studies conducted to examine the influencing factors. First study conducted just before the onset of pandemic outbreak, found that parts of the constructs proposed in the PVT had expected outcomes regarding the characteristics of process virtualization. Contrary to this, second study conducted after pandemic outbreak found that major constructs proposed in the PVT behaved otherwise regarding the characteristics of process virtualization. To fill the gaps in empirical knowledge, the enablers and inhibitors so found together may be motivations to anticipate business organizations and their workforces to experiment with this form of work process, predominantly improved flexibility for organizations and employees, improved productivity, quicker responsiveness to the needs and unexpected man-made and natural disasters, lower absenteeism, improved employee retention, greater cost control, along with more general social benefits. © 2020, IFIP International Federation for Information Processing.