Role of multimedia innovative technology in green banking

Purpose: Progression is an unpreventable reality of presence, and banking is no exclusion. Cash transformers and moneylenders from times gone past are great agents today. Cash held in trust became store taking, and money advancing became credit making;over an extended time, banks transformed into a need, and the occupation of banks, transformed into a critical piece of monetary reality. Banks' turn of events and headway has been mind-boggling, with the latest frenzy being intuitive media banking. The chapter additionally framed the amazing open doors and dangers for banks because of the presentation of innovations and how banks are making the most of the open doors and endeavouring to cure the risks. The financial area in India is a lifesaver for the country. Indian banks could become the fifth most prominent on earth by 2020 and the third most prominent by 2025. Methodology: This study has given auxiliary information. Furthermore, it's gathered from the holding bank of India concerning utilisation by various banks. Which utilised graphic review including mean mode middle. Finding: After the review, we find that sight, sound, and green banking have become fantastic assets for the baking area. During COVID-19, the utilisation of mixed media expanded in contrast to a year ago. Significance: The review featured sight and sound and green banking sealed spine in COVID -19 and is utilised expanded after this pandemic. © 2023 by Seval Kardes Selimoglu and Mustafa Hakan Saldi. All rights reserved.

Among COVID-19 Hospitalized Patients Does D-Dimer Value at the Time of Admission Predict Future Outcome

Background: COVID-19 is still going on with lots of uncertainties. There is a need for early and effective marker for prognostication of COVID-19 patients. Coagulation dysfunction and increased D-dimer levels are seen in this disease. Thus, present study was aimed to compare D-dimer value in relation to disease severity and disease mortality, and to evaluate prognostic significance of D-dimer. Method(s): All symptomatic SARS-CoV-2 RT-PCR confirmed COVID-19 patients admitted in Hospital from March 31, 2021, to May 31, 2021 were evaluated and clinical, demographical and laboratory findings were collected and analysed. According to disease severity patients were grouped and death events and D-dimer value were assessed. Optimal D-dimer cut off point in all groups were evaluated. Result(s): 388 patients were included in the study out of which 142 (36.5%) died during hospital stay. Mean D-dimer value in mild disease was 1.17+/-0.21, moderate disease was 1.47+/-0.17 and in severe disease was 2.92+/-0.23 FEUmicrog/ml. Mean D-dimer value in non-survivors were significantly (P<0.001) different and higher (59.3%) as compared to survivors. ROC curve analysis showed a prognostic value of D-dimer in mild (AUC=0.755, Z=3.30, P=0.001), moderate (AUC=0.762, Z=4.65, P<0.001) and severe (AUC=0.694, Z=5.08, P<0.001) patients. Optimal cut off of D-dimer between survivor and non survivors was >0.78 in mild cases, >1.05 in moderate patients and >2.11 in severe cases. Conclusion(s): Mean D-dimer value showing increasing trend with increase disease severity and prognostic significance was found highest in moderate patients followed by mild patients and least in severe patients in terms of mortality.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

Modeling of Critical Food Supply Chain Drivers Using DEMATEL Method and Blockchain Technology

The main purpose of this paper is to identify the critical drivers of the food supply chain (FSC) in the Indian context and find cause–effect relationships among the identified drivers using a decision-making trial and evaluation laboratory (DEMATEL)-based method. After a review of the literature and discussion with food chain experts, fourteen drivers have been identified for this study. Critical drivers and their causal relationships are explored through the cause-and-effect diagram. Results of this study show that the drivers namely "Shift towards a sustainable food system in India” (D7), "Social requirements on food security and safety” (D13), and "Growing attention towards food SCM amidst pandemic Covid-19” (D1) are the top three critical and influential drivers. It has been observed that limited research studies are done to identify and analyze the FSC drivers specific in the Indian context. Recent advancements in Blockchain technology have paved the path for improving the performance of the food supply chain with appropriate Blockchain technology intervention. Blockchain technology (BT) can be a new driver in the FSCM. This paper proposes a conceptual framework for the implementation of Blockchain technology in the food supply chain. This paper attempts to draw the attention of policymakers to develop a new sound policy with the help of Blockchain technology to ensure food security. © 2023, The Institution of Engineers (India).

Various Tracking and Health Monitoring System in COVID-19 Based on IoT

The IoT (Internet of Things), a network of interconnected systems and data analytics, which can provides information about the spread of diseases/Virus globally. Typically, IoT is a bridge between machine learning philosophy, real time application such as security system, smart lights, smart speakers and many more. [1.2]. In current situation (pandemic), all over the world, is facing the problem where all are sucked down and looking for solution which can resolve the problem with cost -effective solution that has risen. Researchers are looking forward for the challenges and describing the studies which can overcome with the by IoT. The brief review aimed to significant applications over the COVID-19. © 2022 IEEE.

In silico investigations of the multi-targeted antiviral potential of small molecule phytochemicals of Nelumbo nucifera Gaertn. seed extracts against SARS-CoV-2 for therapeutics of COVID-19

The therapeutics of COVID-2 was significantly obtained from nutraceutical approaches based on traditional knowledges and long practices. The current study was aimed to investigate antiviral potential of small molecule phytochemicals of seeds of Nelumbo nucifera against the SARS-CoV-2 proteins. GC–MS analysis resulted in identifying 12 dominating small molecule phytocompounds from the seed extracts of the N. nucifera. Further, we selected RNA-dependent RNA polymerases (RdRps), spike protein, and M protein of SARS-CoV-2 as antiviral targets and performed in silico analyses, including protein docking (ligands), ADMET predictions, and molecular dynamics (MD). The studies revealed that the molecular interactions (protein–ligands) of three target proteins, namely, RdRp, spike protein, and M-protein, have significant binding energies with three different substrates, namely, 1-(8′-methylquinolin-2′-yl)-2,3,4-tri(methoxycarbonyl)-6-(1″,2″-di(methoxycarbonyl)vinyloxy)benzene (binding energy −5.84 kcal/mol) 2(1H)-pyrimidinone, 5-chloro-4,6-diphenyl (binding energy −6.60 kcal/mol), and nickel, [2,8,12,18-tetraethyl-3,7,13,17-tetramethyl-21H,23H-porphinato(2-)-N21,N22,N23,N24]-, (SP-4-1) (binding energy −7.02 kcal/mol), respectively. The ADMET predictions show significant pharmacokinetic profiles of the druggability of the three compounds of different targets. The pharmacokinetic activities critical to predicting stages of the drug development process are gastrointestinal absorption and brain access. The MD simulation showed that the systems were stable, referring to them as a potentially effective treatment for SARS-CoV-2. Therefore, a possible initiative has been taken to evaluate three potent small molecules of antiviral phytocompounds made from typically edible N. nucifera seed to support the nutraceutical approach to COVID-19 therapeutics. © 2022 The Authors. Food Frontiers published by John Wiley & Sons Australia, Ltd and Nanchang University, Northwest University, Jiangsu University, Zhejiang University, Fujian Agriculture and Forestry University.

Impact of Covid-19 on Social Environment and Education, in India

WHO had advised certain guidelines globally during covid-19 pandemic for isolation and protection measures can be further increased for the relevant individuals with obvious risk factors for exposure affected persons. The epidemiological exposure history can be considered as the most essential reference for determining the potential source of illness. People who are exposed to case patients throughout their incubation may also be considered close contacts when determining who they are. The isolation and monitoring of close contacts can be consolidated under the presumption of the conveyance, such as masks, single-person transfers, and disinfection of transport vehicles, etc. Copyright © 2022, Anka Publishers. All rights reserved.

Impact of Covid-19 and Online Education on the Mental Health of Members of Educational Sphere-a Case Study

Coronavirus disease 2019(COVID-19), the enormously transmissible disease resulting due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as the causative agent, instigated a dreadful outcome ensuing worldwide emergency with its rapid spread and greater mortality rate resulting in grievous disruptions. It arose as the greatest substantial world-wide health catastrophe ever since the period of influenza pandemic of 1918, causing more than 3.7 million deaths worldwide. The influence of this pandemic was ascertained in every arena of life on a worldwide level. COVID-19 has devastated many countries, thrashing our health care system besides having a major impact on the academic sector encompassing an enormous number of students, teachers along with staff members. With the implementation of the lock-down the offline classes were substituted for the online mode not only in India but globally. This has chiefly prompted an effect on the mental health of people apart from their physical health. Mental well-being has a vital significance and the spread of pandemic has accelerated a series of mental disorders ranging from anxiety, stress to depressive disorders. This review, based on questionnaires prepared using the perceived stress scale method compiles the response data of how COVID-19 has affected the mental health of students and members of the educational sphere. Not only this but it shows a contrast between the offline and the new tech-friendly online classes. Thus, this survey study reflects on creating a framework for the academic sector to aid in resolving and helping people manifested with mental health issues so as to lead a normal healthy lifestyle. Copyright © 2022 The Authors. Published by Innovare Academic Sciences Pvt Ltd.

The Impact of Covid19 Pandemic on the Work Culture in Micro,Small & Medium Enterprises (Msme) in Rohilkhand Region

MSMEs are the most common form of business enterprise found throughout the world, yet their key characteristics are not well understood. MSME sector in India is second largest employment generator after agriculture, and acts as a breeding ground for entrepreneurs and innovators with considerable support in strengthening business ecosystem. Various reports, researches and surveys have proved again and again that this sector act as a catalyst for socio-economic development of the country. The COVID-19 outbreak has negatively impacted not only the economic and social activity in India but also the entire global economy. The micro, small, and medium-sized enterprises (MSMEs) were significantly impacted by various economic activities. Not only are individual businesses feeling the effects, but so are entire national economies and the entire world. Trade and international travel have already been negatively impacted by the pandemic on a worldwide scale. The Present research work has analyse the impact of Covid pandemic on work culture in MSME sector and assessed the various challenges posed by work from home system in organizational culture of MSMEs. It also analyses the challenges for leadership of MSME firms with regards to organizational culture during Covid pandemic and evaluated the influence of virtual teams on work culture in MSMEs. Interview with managerial staff of 5 MSMEs in Rohilkand region was conducted. Copyright © 2022, Anka Publishers. All rights reserved.

Analysis on the Impact of Education and Its Environment Issues in Covid 19 Period in India

The effects of COVID-19 on the educational system are extraordinary. There have been widespread effects on children of all socioeconomic backgrounds, races, and sexes. As a result of the digital gap, many students are being forced to drop out of school as a direct result of the widespread closure of schools and the choice to move traditional classrooms to digital platforms. Kids' health and nutrition would suffer irreparably if they didn't have the chance to go to school. Six primary aspects of the educational setting are examined here: (1) online education;(2) in-class instruction;(3) scholastic performance;(4) institutional support;(5) co-curricular offerings;and (6) instructors. Approximately 347 college students from coastal Karnataka participated in this descriptive study. With the help of a literature study, a working hypothesis has been constructed and will be put to the test using analysis of variance and a t-test for independence in service of the overarching goal. Path analysis is used to investigate the associations between students' attitudes toward their college's learning environment, the quality of that environment, and the outcomes for those students' academic careers. According to the findings, college students have a generally good view of online education (M=3.14), online teaching and learning (M=3.704), online evaluation (M=3.38), college and administration (M=3.83), extracurricular activities (M=3.87), and teachers (M=3.63). Students' views on different aspects of the higher education system did not change much, contrary to what was predicted by the null hypothesis. Copyright © 2022, Anka Publishers. All rights reserved.

Clinical Spectrum of CMV Infection in Post COVID-19 Rehospitalized Patients: A Retrospective Analysis and Review of Literature

Cytomegalovirus infection is a common occurrence in the immunocompromised host and can affect any organ of the human body. Clinical presentation is extremely variable and nonspecific, which makes diagnosis difficult. Post COVID patients are immunocompromised due to viral infection, uncontrolled diabetes, poor nutrition, hyper-catabolic state, and use of immunosuppressive drugs like steroids and tocilizumab. We are presenting a clinical spectrum of seven post COVID patients who were readmitted to the hospital with variable clinical spectrums. Early suspicion and appropriate pharmacological interventions were necessary to make the right diagnosis and achieve a positive outcome. Materials and methods: This is a retrospective analysis of seven post COVID patients admitted in our hospital since 15th January to 1 August 2021. All post COVID patients were investigated and only those were positive by PCR and serology for CMV was analyzed. Results: All seven patients were previously treated in hospital for severe COVID associated pneumonia and readmitted with various CMV related complications. Three out of seven patients died and four survived. All patients were having multisystem involvement with predominantly affected respiratory system in the form of pneumonia and reappearance of ground glass lesions in HRCT and increased demand of oxygen. Conclusion: CMV-associated complications are underdiagnosed in post COVID patients and this is one of the etiologies of re-hospitalization of such patients. Clinical spectrum is wide and nonspecific therefore strong clinical suspicion and early investigation can provide an opportunity for optimal therapeutic intervention for the suffering patient.

Novel Health Approaches Emerging from the COVID-19 Crisis: Experiences from Maharashtra

Novel public health experiments from Maharashtra in the pandemic times, involving co-production of healthcare, interventionist regulation of private hospital rates and popular initiatives to ensure social accountability of private hospitals, demonstrate significant potentials to advance people-centred health system changes. © 2022 Economic and Political Weekly. All rights reserved.

Morphological Operation-Based Unsharp Masking Filter

Novel coronavirus called SARS-CoV-2 has resulted in the outburst of the respiratory illness called COVID-19. In this infection, virus enters the cells and makes multiple copies of themselves. Screening of COVID-19 can be done efficiently using CT-scan images. Due to the presence of several anomalous details and undesirable distortions, COVID-19-infected areas overlap. Hence, enhancement becomes a necessity. This paper illustrates an improved unsharp masking (UM) filter with morphological filter (MF) for COVID-19 CT-scan images. Here, two flat disk-shaped structuring element are used with top-hat and bottom-hat operations. This technique improves the contrast and edge sharpening of the images. The quality of the obtained enhanced image is evaluated by average gradient (AG) showing efficient result of the proposed filter with significant enhancement and edge sharpening. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Social media usage in higher education: Role in marketing and communication during COVID-19

Major higher educational institutions exert efforts on social media to establish relationships with students, aspirants, alumni and other stakeholders. These efforts have been increased in the worldwide pandemic of COVID-19 as institutions are left only with social media channels as a medium to communicate and build their branding. Therefore, it is important to examine the various Facebook posts that become important for delivering the information and building a positive association with its stakeholders. The current study adopted the content analysis method to examine the various posts of the top 20 Indian universities during June 2020-November, 2020. The results revealed that university type, post category and post format were the important factors to increase the reachability (likes and shares) and engagement (comments and total engagement) of the post with its stakeholders during the above-stated period. Additionally, the posts in the category of events and announcements recorded the highest engagements. The current study also examined that the top relevant comments, content (positive sentiments and negative sentiments), gender, and users were not the factor in increasing engagement. This study provides strategies for universities to increase reachability and engagement concerning content creation and its format on social media platforms. © 2022. Transnational Press London. All Rights Reserved.

Analysing the Twitter Sentiments in COVID-19 Using Machine Learning Algorithms

The coronavirus emanated in Wuhan city of China, in the last month of 2019 and was even announced as a global threat. Social media could be an utterly noteworthy supply of facts during a time of crisis. User-generated texts yield perception into users' minds withinside the direction of such times, giving us insights into their critiques in addition to moods. This venture examines Twitter messages (tweets) regarding people's sentiment on the unconventional coronavirus. The essential aim of sentiment evaluation is the origin of human emotion from messages or tweets. This venture is geared toward using numerous gadgets studying type algorithms to expect the people's reception of the worldwide pandemic by reading their tweets on Twitter. In the course of this paper, we are testing our dataset on five different classifiers, namely Random Forest, Logistic regression, Multinomial naive Bayes, K-nearest neighbor, and Support vector machines classifiers. Together with precision rankings and balanced accuracy rankings, metrics are offered to gauge the fulfilment of the numerous algorithms implemented. The K-Nearest Neighbor classifier has given the highest precision score while the Logistic Regression classifier gives the highest recall, F1, accuracy and balanced accuracy scores. © 2022 IEEE.

COVID-19Associated Mucormycosis: A Systematic Review

Mucormycosis was a difficult illness to treat in the past due to a lack of diagnostic and treatment alternatives. Rhino-orbital-cerebral mucormycosis usually affects the maxillary sinus with involvementof maxillary teeth, orbits, and ethmoidal sinuses. Diabetes mellitus is an independent riskfactor for both COVID-19 as well as mucormycosis. Advances in pathology, diagnostic tools, and treatment choices are discussed here.

Hybrid and Ensemble-Based Personalized Recommender System - Solving Data Sparsity Problem

Online content streaming is the most popular form of entertainment in recent times due to COVID 19 lockdown. All popular streaming services use various product recommendation schemes to retain users to their services by intriguing them with content that they might like. Various recommendation systems have been used by famous streaming services like Netflix, Amazon Prime, Hulu, etc. but they lack consistency and accuracy as they suffer from some severe problems such as the first rater problem, sparsity problem, and various computations problems. In this research, we have come up with a hybrid machine learning recommender system which uses an ensemble of content-based and collaborative filtering techniques to not only solve all data sparsity problems but also provide more personalized recommendations to the users based on their watching history and user profile. This research provides a new algorithm that increases the quality of content that is being recommended to the users. © 2021 IEEE.

Optimizing Supply Chain through Internet of Things (IoT) and Artificial Intelligence (AI)

Since the inception of Internet of Things (IoT) and AI (Artificial Intelligence), there has been a vast development in modern technology. There is no doubt IoT, and AI have been universal dais for Internet-associated smart and intelligent devices which is touted to boost supply chain integration. This paper aims to review the increased role and importance of IoT and artificial intelligence in supply chain management during the Covid pandemic. Recently we all have witnessed that due to the covid-19 the whole world has been under locked down and witnessing a great problem for buying the daily essentials as social distancing must be maintained. Covid has disrupted the production supply chain, finance, and markets. There is an outpouring in the usage of online shopping making pressure to enhance process efficiency for future needs. The advent of industry 4.0 has given rise to the implementation of modern technologies into Supply Chain Management. The use of IoT and AI makes the shopping experience much better, more user-friendly, with alleviated customer service with end-to-end supply chain performance, or improved supply chain availability, clarity, and authenticity during the pandemic. The chapter focuses on the impact of IoT and AI on overall supply chain and how the technologies are helping to increase the efficiency and effectiveness of the supply chain system. © 2021 IEEE.