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The corona virus pandemic outbreak in 2019-2020 has almost touched everyone's life and is affecting every sector. The daily routine life has come to a standstill, many sector including businesses, finance, transport and many more critical industries has come to a halt. Only essential sectors like healthcare have been permitted to operate. Many G20 countries-imposed curfew, mandatory stay-in-home orders and lockdown of cities and countries. Among all these close down scenarios and locked down industries, utility companies and energy distribution sector were operational 24/7 round the clock providing uninterrupted power supply for a comfortable lockdown "stay in home". The success of Fighting COVID-19 and shutdowns is highly dependent upon uninterrupted power supply and power consumption by the building residents. This paper reviews the various actions taken by G20 member countries towards electricity consumption while in COVID-19 pandemic outbreak. This research work is an analysis of actions taken by governments under their jurisdictions towards building energy consumers. The outcome of this paper are energy policy recommendations that are based on the different governments responses and actions taken towards energy consumption in buildings.

The occurrence of rubber abrasion is started with a crack that occurs when maximum stress exceeds the breaking stress. Investigation of the rubber friction using a blade indenter is presented numerically in this paper. The rubber analyzed was Filled Styrene Butadiene Rubber that is commonly used for tires. The analysis was performed to obtain the stress pattern and maximum stress location of the deformed rubber. Simulation results showed that the magnitude and location of the maximum stress were strongly influenced by the depth of indentation and contact surface roughness.

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). This article has been withdrawn as part of the withdrawal of the Proceedings of the International Conference on Emerging Trends in Materials Science, Technology and Engineering (ICMSTE2K21). Subsequent to acceptance of these Proceedings papers by the responsible Guest Editors, Dr S. Sakthivel, Dr S. Karthikeyan and Dr I. A. Palani, several serious concerns arose regarding the integrity and veracity of the conference organisation and peer-review process. After a thorough investigation, the peer-review process was confirmed to fall beneath the high standards expected by Materials Today: Proceedings. The veracity of the conference also remains subject to serious doubt and therefore the entire Proceedings has been withdrawn in order to correct the scholarly record.

The current technological advancements in emerging 3D printing technologies are indeed propitious. To date, ground-breaking 3D printing technologies are used in automobile, aerospace, clothing, pharma, and biomedical industries by creating pre-requisite engineered and tailored end-user products reaching standard sets. 3D printing is also becoming a crucial technology in support of enhanced health care and general emergency response since the beginning of the COVID-19 pandemic. As the world is facing a significant lack of medicinal supplies, manufactures are struggling to fulfill demands due to the ongoing COVID-19 pandemic. The decline in the diagnostic testing kits supply chained to increased interest in 3D printed Nasopharyngeal (NP) swabs. This article has reviewed and studied the sensitivity of the NP swabs and various NP swab designs. The process of different 3D printing technologies that are employed to address the swab shortages during COVID-19 is explained in detail. The paper ends with the conclusions drawn from the literature review.

In current scenario, health and safety of the hospital employees, health workers and patients fall on the highest priority as they are prone to maximum exposure of covid-19 attack. As technologists an innovative idea is put forth along with a prototype to enhance the safety parameters. This paper describes a simple and economic hardware implementation of face recognition using raspberry Pi. Raspberry Pi is an efficient single board unit capable of communicating with the cloud. The system is made user friendly and more operative by designing a webpage, which records all the information from the camera, sensors and patient log in details and can be accessed by the hospital authorities. The system is programmed using Python language. The results reveal that system can be used for all the real time applications which demands for authenticated entry.

Epidemic model have been broadly used in different forms for studying and forecasting epidemiological processes the spread of dengue, zika virus , HIV, SARS and recently , the 2019-20 corona virus which is an ongoing pandemic of corona virus disease (COVID-19). In the present paper, an inverse problem to find the parameters for the single term (multi term) fractional order system of an outbreak of COVID-19 is considered. In the starting, we propose a numerical method for fractional order corona virus system based on the Gorenflo-Mainardi-Moretti-Paradisi (GMMP) scheme, and then to find the parameters we use GMMP method and the modified hybrid Nelder-Mead Simplex search and particle swarm optimization algorithm. With the new fractional orders and parameters our fractional order corona virus system is capable to providing numerical results that agree well with the real data.

Covid-19 is a dangerous communicable virus which lets down the world economy. Severe respiratory syndrome SARS-COV-2 leads to Corona Virus Disease (COVID-19) and has the capability of transmission through human-to-human and surface-to-human transmission leads the world to catastrophic phase. Computational system based biological signal analysis helps medical officers in handling COVID-19 tasks like ECG monitoring at Intensive care, fatal ventricular fibrillation, etc., This paper is on diagnosing heart dysfunctions such as tachycardia, bradycardia, ventricular fibrillation, cardiac arrhythmia using fuzzy relations and artificial intelligence algorithm. In this study, the heart pulse base signal and features like spectral entropy, largest lyapunov exponent, Poincare plot and detrended fluctuation analysis are extracted and presented for classification purpose. The RR intervals of Poincare plot summarize RR time series obtained from an ECG in one picture, and a time interval quantities derives information duration of HRV. This analysis eases the prediction of heart rate fluctuation due to Covid or other heart disorders. The better accuracy level in diagnosing heart pulse irregularity using Artificial Neural network(ANN) is an integer value (0 to 4)but for Fuzzy Classifier, it is 0.8 to 0.9.The processing time for analyzing heart dysfunctionalties is 0.05 s using ANN which is far better than Fuzzy classifier.

How did a fitness crisis translate to a financial crisis? Why did coronavirus bring the worlds financial system to its knees? The solution is to be found in two approaches. Initially, this contagious virus resulted in a lockdown of the business world and economy. A ratio at which the virus has been proliferating, the increased uncertainty is exactly the reason for this bad situation which resulted as unsecured initialization investment between traders. We rely on the present environment in evaluating the constricting procedures, fiscal policies and public health actions that were implemented in that time. This study examines volatility transmission over the financial crisis. Recently established causality in impulse response functions and variance test to everyday data from January 2020 has been implied. To recognize the effect of the food cost crisis, statistics are separated into two intervals i.e. post-COVID period and the pre-COVID period. The variance causality test indicates that the risk transmission among agricultural commodity is zero, but oil market volatility spills on the markets for agricultural products excluding sugar in the post-crisis period. Thus, this paper signifies that the statistical volatility transmission differs post food price crisis. Following, risk transmission materializes as an additional element of the statistical interrelations among agricultural and energy markets.

3-D printing is an emerging disruptive technology to disrupt existing manufacturing systems. This technology has tremendous potential to improve the quality and complexity of engineering products and also to raise the standard of life. Many big corporations and agencies are working to leverage this disruptive technology. This technology has not become as popular as the internet of things, etc. 3-D printing can help in sustainable operations via cost optimization, lead time reduction, safety incorporation, and better functionalities in the final products. The supply chain management of 3-D printed products is a must on digital platforms for the effective delivery of products and services of this evolving technology. No concrete study could be found that linked the supply chain management with the critical success factors of the 3-D printing industry. Hence this study was undertaken to understand the technical, economic, and managerial aspects that are critical for smooth operations of supply chains of 3-D printed products. This study is based on the literature review that includes various relevant articles available in the public domain regarding the supply chain of 3-D printed goods, 3-D printing industry reports, and research papers on Additive Manufacturing technology. The study concluded with the critical success factors for a customer-oriented supply chain of 3-D printed parts. Further research through case studies is required to study the bottlenecks and potential of improvements in the AM industry in some developed countries where 3-D printing manufacturers are in good numbers.

COVID-19 has brought a lot of turbulence and instability among manufacturing organizations. This pandemic has affected all three types of manufacturing operations- subtractive, additive and forming manufacturing processes. In this paper we have discussed how additive manufacturing has played a role in this time of crisis. There has been an increased adoption of additive manufacturing to overcome the demand created by this pandemic. The number of actors in additive supply chain have reduced and thus in the time of epidemics that has been a boom and has helped manufacturers relying on additive manufacturing to be agile and react in nearly no time to the requirements. The same has been found its use primarily in manufacturing healthcare facilities in short notices along with producing parts of medical equipment like ventilators.

The rapid growth of the market of electronic devices designed on the base of micro- and nanoelectronic components requires novel unconventional approaches for nanostructures formation. In this regard, ion-track technology, which allows forming nanostructures with a predetermined geometry is very promising. The paper demonstrates a simple and scalable approach to the creation of nanotubes based on pure zinc and its oxide. The main idea of the work is to determine the possibility of controlling of the nanotubes morphology and composition by variation of the deposition potential. In this concern, template synthesis of zincbased nanotubes in the PET template pores is carried out at potentials in the range from 1.25 to 2 V and a comprehensive study of their structural and morphological features is provided. © 2019 Elsevier Ltd.

The paper demonstrates a simple way to control the filling degree of the pores of a silicon oxide template on silicon substrate with nickel. SiO2/Si template was formed using the swift heavy ion tracks technology, which includes irradiation with high energy ions and chemical transformation of the obtained latent tracks into the pores. The preparation of SiO2(Ni)/Si nanostructures with different filling degree of pores in SiO2 with nickel was performed using the electrodeposition method by changing the duration of the process. A study and analysis of the morphology of SiO2(Ni)/Si nanostructures using scanning electron and atomic force microscopy was carried out to determine the nature of pore filling by metal. © 2019 Elsevier Ltd. The authors acknowledge the support of the work in frames of H2020 - MSCA - RISE2017 - 778308 - SPINMULTIFILM Project and the Scientific-technical program ‘Technology-SG’ [project number 3.1.5.1].