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1.
3rd IEEE Industrial Electronics and Applications Conference, IEACon 2022 ; : 99-104, 2022.
Article in English | Scopus | ID: covidwho-2161425

ABSTRACT

Due to the COVID-19 pandemic, traditional laboratory sessions or face-To-face demonstrations for advanced electrical engineering level students in the field of power electronics and drives had to be substituted by e-learning to accommodate the new virtual teaching environment. This paper explains the operation of a symmetrical six-phase induction drive having two isolated neutrals configuration (2N) under one open phase fault (OPF) as a case study. The whole system, including the OPF, has been modeled in MATLAB Simulink which is intended for teaching and research purposes in the field of power electronics and drives. The aim of this paper is to elaborate the pre-and post-fault behaviour of the stator current, speed and torque. The machine model presented here is based on vector space decomposition (VSD) and controller using Indirect Rotor Field Oriented Control (IRFOC). In addition, this paper explains the external resistance used to initiate the OPF. The described MATLAB simulation helps the students to understand and observed the amplitude of stator current during pre-and post-fault conditions with respect to the mechanical loading. This model allows preliminary analysis for monitoring and comparison of machine performance. © 2022 IEEE.

2.
Rajagiri Journal of Social Development ; 12(2):147-170, 2020.
Article in English | ProQuest Central | ID: covidwho-2156534

ABSTRACT

Migrants are subjects that are often left out in the policy discourse, even though India has one of the largest floating populations in the world. At times when the migrant communities are facing scornful events at different quarters of their lives, the State of Kerala has addressed similar concerns through policy deliberations framed with the utmost care and importance, thus emerging as the pro-migrant State in the country. The article incorporates a discussion on the various policy initiatives adopted by the State machinery for the welfare and betterment of inter-state migrant workers employed in the State. Expanding the scope, the study deals with the different policy interventions adopted by the State machinery to address the vulnerabilities of in-migrants which emerged during the ongoing COVID-19 pandemic. An evaluation of the State's existing migrant related policy framework points to the extent of its effectiveness in sensitising and improving the lives of inter-state migrants. Through these efforts, the Government of Kerala sends a strong message on the inevitability of having an inclusive and unified approach in identifying and addressing the needs of the migrant community by transcending the trivial human-made distinctions while keeping human beings and humanity at the centre of all actions.

3.
International School on Neural Networks, NN 2022 ; 509:1595-1604, 2023.
Article in English | Scopus | ID: covidwho-2148534

ABSTRACT

Over the past twelve years, cloud systems have significantly changed business processes in all areas of business. Companies are using cloud services as a key factor in completing their digital transformation, and the COVID pandemic has further accelerated this task. The cloud is emerging as a top management agenda item as companies move from a separate approach to a more holistic, end-to-end digital transformation driven by the cloud. Cloud services save businesses time and money by increasing productivity, improving collaboration, and driving innovation. Now—during the coronavirus crisis, more than ever, cloud services are vital to help companies re-discover, reinvent and overcome uncertainty. Cloud services range from data storage to functional software, including accounting software, customer service tools, and remote desktop hosting. These services can be divided into three groups: infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). This article is devoted to an analytical overview of modern digital cloud services, and the services they provide that can be applied in all areas of business. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
Kexue Tongbao/Chinese Science Bulletin ; 67(31):3654-3666, 2022.
Article in Chinese | Scopus | ID: covidwho-2140345

ABSTRACT

It is well-known that RNA is the target of numerous chemical modifications which currently amount to over a hundred. Among them, 5-methylcytosine (m5C) is a prevalent RNA modification in multiple eukaryotic RNA species, such as messenger RNAs (mRNAs), transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), vault RNAs (vtRNAs), long non-coding RNAs (lncRNAs) and enhancer RNAs (eRNAs). In recent years, several techniques for detecting m5C have been developed, including UPLC-MS/MS, m5C-MeRIP-seq, PA-m5C-seq, RNA-BisSeq and nanopore sequencing. The rapid development of these high-throughput techniques sharply facilitates the in-depth studies of the biological functions of m5C. The m5C modification is enriched around start codon along mRNAs and conserved in tRNAs and rRNAs. It is a reversible RNA modification catalyzed by methyltransferases (NSUN, DNMT, and TRDMT family members) and removed by demethylases (TET family members and ALKBH1). The m5C modification can be recognized by a set of RNA-binding proteins (YBX family members, ALYREF and FMRP) and is widely involved in the regulation of RNA metabolic processes, including nuclear export, stability and translation. In addition, the dysregulation of m5C modification is closely related with the defect of DNA repair, cell proliferation, embryonic development and stem cell differentiation. Viruses are infectious agents that rely on host cells for replication. They have evolved numerous strategies to shape the cellular biosynthesis and metabolism machinery of hosts to complete their life cycle and propagate. One strategy is to modify viral RNAs using host m5C RNA methyltransferases (NSUN1, NSUN2, NSUN5 and DNMT2), and thus directly regulates their transcription, splicing and translation. So far, combined with the high-throughput techniques, some viral m5C landscapes have been precisely depicted, including human immunodeficiency virus type (HIV-1), murine leukemia virus (MLV), Epstein-Barr virus (EBV), and so on. Studies showed that the m5C level of retroviral mRNAs is much higher than cellular mRNAs, suggesting this modification can be a special marker for host cells to distinguish “self” and “non-self”. In addition, the m5C methylome of cellular RNAs is dynamically regulated under viral infection, leading to the suppression of host innate immunity. Therefore, it will be of great significance in the design and development of novel antiviral drugs by systemically understanding the molecular mechanisms of m5C modification in controlling viral replication and host innate immunity. In this review, the latest findings of m5C methyltransferases, demethylases, reader proteins and high-throughput sequencing techniques are presented. We discuss how m5C modification is catalyzed and recognized on viral RNAs of retrovirus, DNA virus, flavivirus and coronavirus. Furthermore, we summarize the roles of RNA m5C modification in viral replications and host innate immunity. This review will provide some valuable information for understanding the epigenetics in viral RNAs. © 2022 Chinese Academy of Sciences. All rights reserved.

5.
IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022 ; 664 IFIP:486-493, 2022.
Article in English | Scopus | ID: covidwho-2059724

ABSTRACT

Digital transformation is a process encompassing all organizations, requiring a proactive attitude and willingness to change. The Covid-19 pandemic highlighted the relevance of digitization through an increased awareness and implementation of digital tools for working life. The next wave of successful innovation in industry demands high-pitched adoption of technologies for production and workplace learning systems. Organizations are trying to understand which technologies to invest in, based on usability measures, cost effectiveness, and sustainability. It can be hard to predict which technology is best suited for specific tasks. This implies a growing risk regarding investments in technology. This paper describes the spontaneous use of technology for augmented reality (AR, Microsoft HoloLens 2) in a Norwegian manufacturing company during Covid-19. The case illustrates how AR technology can be used in assembling, installation and acceptance testing of machinery for selective soldering in the production of circuit boards. Data were collected through case study research and a qualitative research design, through observation and interviews with the participants. The results show that Microsoft HoloLens 2 is easy to adopt and could contribute to immediate and real value creation in industrial production companies. We believe that the spontaneous usage of AR technology in such extraordinary circumstances as a pandemic could motivate and guide other businesses facing important decisions related to technology implementation. The original value of this article is a contribution to the discussion on the Technology Acceptance Model, which is chosen as a theoretical framework for the paper. © 2022, IFIP International Federation for Information Processing.

6.
Journal of Urban and Regional Analysis ; 14(2):289-316, 2022.
Article in English | ProQuest Central | ID: covidwho-2026708

ABSTRACT

Written culture was always considered an indicator of civilisation. The aim of this paper is to analyse the distribution of development and of accessibility to written culture in the urban-rural interface (U-RI) of Bucharest, Romania, to assess their correlation and the impact of the current pandemic crisis. Based on the population's perception regarding their accessibility to written culture through the application of over 200 questionnaires, the analysis showed that bookstores and libraries are mostly competitors. The number of readers and read books is decreasing in the U-RI due to the lack of prioritisation of these services by the local authorities, as reflected in a general decreasing trend of the number of written culture users. The consumption of literature in new formats contributes to less place-dependent cultural services, especially in the high-income areas, while the Principal Component Analysis of cultural data demonstrates a clustering of localities in the U-RI that is strongly correlated with the economic and demographic characteristics of those areas. However, despite the increased accessibility to online, non-place-dependent written culture, the numbers of books read and bought in both physical and digital format had a generally decreasing trend during the pandemic.

7.
IISE Annual Conference and Expo 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2012915

ABSTRACT

The semiconductor industry has faced supply chain manufacturing shortages that ultimately led to a worldwide chip shortage during the COVID-19 pandemic. These chip manufacturers use sophisticated and advanced manufacturing machinery in their fabs to manufacture chips. As experienced during the pandemic, manufacturing unavailability is often due to the lack of critical manufacturing-related spare parts. This thesis evaluates the effectiveness of machine learning algorithms to identify significant factors contributing to manufacturing part outages (i.e., zero-bin) to keep manufacturing equipment running at total capacity within the organization. We propose clustering methods to segment the data and use logistic regression, logistic lasso regression, and kNN approaches to identify important factors for those parts that could go to zero-bin. Extant research applies classic inventory management strategies based on expenditure, criticality, or usage to manage their parts' inventory throughout the year. Instead, the proposed methods explore whether predefined, static inventory parameters can predict whether a spare part reaches zero bin. To demonstrate the viability of this approach, we present a case study using one year's worth of data from a leading chip manufacturing company. Based on the modeling approaches, a lasso-based logistic regression proved the best predictive model amongst the five clusters with lead-time, current quantity available, days on inventory (usage remained relevant), and the part's reorder point being the most significant parameters. © 2022 IISE Annual Conference and Expo 2022. All rights reserved.

8.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 179-180, 2021.
Article in English | Scopus | ID: covidwho-2012346

ABSTRACT

Viral production and transduction have seen a considerable increase in use for gene therapies and especially vaccines (e.g., COVID-19) due to their abilities to deliver a significant amount of genetic information and integrate it into the genome. However, challenges associated with viral production/transduction involve steps that are very time consuming, manually intensive, and laborious. In efforts to expedite this process, we have created a microfluidic methodology that will provide a “hands-off” workflow in the genome engineering pipeline. In this work, we developed a platform which can generate lentiviral particles on-demand containing the gene-editing machinery that will be able to modify target breast cancer cell lines. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

9.
ACIAR Final Reports 2021. (FR2021/049):29 pp. 3 ref. ; 2021.
Article in English | CAB Abstracts | ID: covidwho-2011001

ABSTRACT

This project was originally envisaged as an 18-month development-oriented project based in Provinces 1 and 2 of the Nepal Terai. It aimed to build solidarity and teamwork around the drive for agri-mechanisation in each of these two provincial governments. Unfortunately, the short time frame paired with intensive efforts to establish new relationships and then the onset of COVID-19 meant that there was limited scope to deeply develop these new relationships and fully build the envisaged roadmap process and plans. Regardless of this, the project has made some essential steps in improving provincial agri-mechanisation planning and implementation, including: (1) substantial capacity developed though placement of engineering experts within the Nepal Agricultural Research Council (NARC), the Ministries of Agriculture, Land Management and Cooperatives (MoLMAC), various cooperatives and agricultural knowledge centres;(2) new and deepened relationships with and between key stakeholders, and particularly between NARC and provincial government, as well as with and between various cooperatives;(3) development of the first quantification of the status of agri-mechanisation on the Nepal Terai - indicating that there is high potential for rapid mechanisation if some key constraints are addressed;(4) publication of the learnings for a review of mechanisation in India and Bangladesh, and what that means for Nepal's agri-mechanisation planning;(5) regional learnings and new collaborations with various stakeholders in Nepal and West Bengal;(6) a national symposium on agri-mechanisation on the Nepal Terai, with a large number of supported individuals attending and learning from the national Agrimechanisation Fair;(7) development of a "roadmap" process that can be used more widely with additional further development;and (8) technical guidance and relationship building to improve the scaling of government supported custom hire centres in Province 1.

10.
Tribology & Lubrication Technology ; 78(9):82-82,84, 2022.
Article in English | ProQuest Central | ID: covidwho-2010816

ABSTRACT

Maintenance, Reliability and Troubleshooting in Rotating Machinery Editor: Robert X. Perez Publisher: Wiley Rotating machinery represents a broad category of equipment, which includes pumps, compressors, fans, gas turbines, electric motors, internal combustion engines and other equipment that are critical to the efficient operation of process facilities around the world. Visitors from both the lubricant community and end-user OEMs will find a comprehensive showcase of all lubricant technologies, including finished lubricants, additives, process equipment and machinery, condition monitoring, automation systems, testing and analysis, data technologies, lubricant manufacturing equipment, end-user application systems and more. Chaired by Sharbel Luzuriaga of Kline on day one and Boris Zhmud of Bind Lubricants on day two, the 2021 event held presentations including The Road to Sustainable Mobility: Implications for the Finished Lubricant Market, Group I Replacement Strategies: The Role of Naphthenics and Base Oil Markets Through the COVID-19 Pandemic and Beyond, as well as a lively panel discussion entitled An Internal Examination of the 2021 European Base Oils & Lubricants Industry.

11.
Social Alternatives ; 41(2):34-43, 2022.
Article in English | ProQuest Central | ID: covidwho-1980596

ABSTRACT

The COVID-19 pandemic has highlighted the physical and psychological pressures critical caregivers face. Clinical settings dominated by machines with limited touch and natural light are far removed from the natural world. In this context, this visual essay reflects on a photographic research project inspired by ecological ideas to consider and express the complex experiences of hospital staff. In 2020 I developed a program of photography walks for National Health Service (NHS) hospital staff, exploring the biodiversity of Hampstead Heath and Waterlow Park in London. Here, I will discuss how this preliminary project illuminates the potential of sensory engagement with nature's cycles of growth, decay and renewal, to shape an expressive channel for critical caregivers, one that is distinct from more traditional models and settings of therapy. Employing 'visual touch' and emerging therapeutic photography practices informed by ongoing collaboration with hospitals and ecologists, this project seeks to generate new insights and interventions that support the emotional and sensory needs of staff. The project draws on the fields of visual ethnography and medical anthropology with the aim to inform future developments in hospital practice.

12.
23rd International Carpathian Control Conference, ICCC 2022 ; : 94-100, 2022.
Article in English | Scopus | ID: covidwho-1961391

ABSTRACT

Research on the pandemic situation of COVID-19 is very important for delivering detailed risk analyzes based on estimating the peak of the pandemic. The machine learning approach has a major role to play in predicting the number of COVID-19 cases. Most research on COVID-19 uses polynomial regression for analysis. When a regression model is build, often, the model fails to generalize on unseen data. For instance, the model might end up becoming too complex, having significantly high variance due to over-fitting, thereby impacting the model performance on new data sets. To avoid over-fitting of the polynomial regression, a regularization method can be used to suppress the coefficients of the higher order polynomial, a principle that allows the smoothness of the regression function. The aim of this paper is to formulate a mathematical model for regularization coefficient in polynomial regression and evaluate this approach to enable obtaining meaningful results on a COVID-19 data set. Therefore we believe that our results will contribute to a better understanding of the over-fitting process in polynomial regression. Our methodology consists of following major steps: i) optimizing the model using k-fold cross-validation for finding an optimal regularization coefficient and ii) comparing the performance of ridge regression and lasso regression using accuracy metrics. Moreover, our approach could also have a potential impact in machine learning education, regarding the understanding of the underlying mathematical machinery behind polynomial regression algorithms. The obtained results show that the polynomial model built using lasso regression, outperforms the ridge regression. © 2022 IEEE.

13.
2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1932098

ABSTRACT

As the era of industrial revolution 5.0 has begun, most of the robots are developed to have cyber inter-physical functionalities which are deemed to replace human activities. However, robots are rarely being utilized in the health care sector. In a medical institution, countless activities and events are happening simultaneously. Most of these are very precise, lifesaving and are on a time constraint. Heavy machinery and equipment are required to execute such events which is time-consuming and inconvenient. The robot specified helps with regular processes occurring on a day-to-day basis in the institution such as taking vitals and sanitization as well as transporting products on the go intelligently and safely. This robot is good at mapping rooms using the internal GPS, the robot can effectively communicate and output simple messages with the patients via, a display screen. Human intervention plays a vital role in preventing the health care workers from coming in contact with the covid-19. © 2022 IEEE.

14.
11th International Conference on Design, User Experience, and Usability, DUXU 2022 Held as Part of the 24th HCI International Conference, HCII 2022 ; 13322 LNCS:241-255, 2022.
Article in English | Scopus | ID: covidwho-1919654

ABSTRACT

Due to COVID-19 pandemic. Education systems all around the world had been forced to migrate from face-to-face education to online format by using digital platforms. In Japan, the shift to distance education was particularly challenging across the higher education sector due to lack of experience in conducting classes online, as well as the slow pace of the country education system to take up digital technology. The scope of the field of industrial design has been increasingly widening, including non-tangible products such as services, interfaces and experiences, among others. Additionally, CAD technology facilitates design distance learning. However, the core of industrial design remains in the development of proposals of physical products, especially in Japan where there is a very strong culture of monozukuri or “making of things”. Since the practice of industrial design cannot be taught solely by remote classes, this paper documents the attempt to carry out two hybrid courses with face-to-face lessons for physically building design proposals. In order to adapt to the academic conditions in the pandemic context, digital fabrication technology was utilized, specifically laser cutting machines. By using online communication platform students attended lectures, submitted design ideas, received professor feedback and built necessary data. During face-to-face lessons, students used laser cutting machine to make parts, built prototypes and received feedback. Surveys were applied at the end of each course, showing high level of satisfaction among students. This research aims to contribute to finding the most optimum balance point between online and face-to-face lessons for industrial design courses towards the “new normal” reality. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

15.
6th International Conference on Computing, Communication and Security, ICCCS 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1901434

ABSTRACT

War and military metaphors are commonly used in the situation where the government requires strong and strict decisions. Metaphors may play a crucial role in the healthcare domain when there is an emergency situation like COVID-19 pandemic. In the era of social media, the emergency communication can be disseminated in most efficient manner. This paper proposes and investigates the use of war and military metaphor in the Twitter and its impact on the citizen and the government machinery. We used data mining tools to extract data from the Twitter and subjected it for sentiment analysis. The metaphor perception in the healthcare context have different dimension. It will induce fear and insecurity in the citizen and more authoritative nature in the people in power. The use of war and military metaphors will have mixed responses depending the socio-economic and cultural background of the person. The war and military metaphor will prevail until the quest for power by the human being exists in nature. The war and military are the having different perceptions among the people lives in fear in the war hit region and the people never experienced the war situation. © 2021 IEEE.

16.
Machine Learning-Driven Digital Technologies for Educational Innovation Workshop ; 2021.
Article in English | Web of Science | ID: covidwho-1895922

ABSTRACT

The global COVID-19 pandemic forced educational institutions at all levels to modify and migrate their teaching methodologies entirely to an online modality. Universities with technical programs were challenged to teach students the skills and abilities obtained only through laboratory or physical workshop experiences. This project focused on developing an immersive virtual reality application as a learning methodology to interact with a vertical milling machine. Additionally, we integrated a web plugin with similar functions to expand students' learning experience. Using the computerized design software Solidworks and Blender, we configured the assembly of a vertical milling machine to use in video game development software such as Unity. With this software, we created a virtual reality application (governed by fundamentals of educational theory) that allowed users to recognize the milling machine's parts and functions and simulate actual interactions. Additionally, with an accessible virtual reality kit, we added a web plugin with similar functions to achieve a greater scope of teaching. Thus, developing a virtual reality application as didactic support and training familiarized students with a vertical milling machine's parts and operations. This project can be implemented in different educational institutions seeking a dynamic and innovative way to teach machinery in a virtual environment.

17.
Bulletin of Agrarian Science ; 1:91-96, 2022.
Article in Russian | CAB Abstracts | ID: covidwho-1865671

ABSTRACT

The article analyzes the change in the quantitative composition of the agricultural machinery fleet of the most significant segments for agriculture - tractors and combine harvesters, as well as the reasons that served as a prerequisite for these changes. The implementation of state support programs for the reproduction of the material and technical basis of agricultural production is considered, namely: State Program for Agricultural Development and Regulation of Agricultural Markets, raw materials and food until 2025 and the Strategy for the Development of Agricultural Engineering in Russia until 2030, as well as changes related to the requirements imposed on Russian mechanical engineering organizations for the transportation of products and requirements for industrial products, presented for the purpose of its attribution to products produced in the territory of the Russian Federation and aimed at stimulating the production of components within the country. Until 2020, the equipment was recognized as produced in Russia, if a certain set of technological operations was performed domestically, starting from 2021, the manufacturer needs to score 30% of the maximum possible points. Taking into account the increase in the minimum threshold by 5%, the degree of localization by 2025 should be 80% of the maximum possible number, which currently seems to be a difficult-to-achieve task. Data of changes in the agricultural machinery market over the past 5 years is given, special attention was paid to the period of pandemic of new coronavirus infection of CoViD-19, paradoxical trends of sales growth in domestic and foreign markets, which occurred during this period, were revealed, an attempt to identify the reasons for the implementation of such a scenario was made. The assessment of the effectiveness of the procurement of new equipment as part of preferential subsidies in the regions of the Russian Federation was apprized.

18.
Transnational Corporations Review ; : 16, 2022.
Article in English | Web of Science | ID: covidwho-1852808

ABSTRACT

This paper aims at mapping machinery value chains in Brazil to check the validity of the smiling curve and the impacts of the COVID-19 crisis, investigating opportunities for upgrading. The empirical methodology is based on qualitative research among 50 machinery manufacturing companies in three steps: online survey, interviews, and poll. The main conclusion is that the executives in our sample are sceptical about the smiling curve in Brazil. The COVID-19 crisis seriously impacted most of the consulted machinery companies, and it has caused significant disruptions in their value chains. Companies that reduced their chain's dependence on suppliers, relying on local networks and verticalization, had more hedge against those ruptures. The executives have shown eight fields of opportunities to upgrade in value chains. The paper contributes to the international literature on Management through its innovative methodology and insights for companies from developing countries.

19.
Tribology & Lubrication Technology ; 78(5):82-83, 2022.
Article in English | ProQuest Central | ID: covidwho-1823703

ABSTRACT

Design, Modeling and Reliability in Rotating Machinery Editor: Robert X. Perez Publisher: Wiley This broad collection of current rotating machinery topics, written by industry experts, is a must have for rotating equipment engineers, maintenance personnel, students and anyone else wanting to stay abreast with current rotating machinery concepts and technology. The stresses on rolling bearings in particular are very high and will continue to increase in the future, as will expectations of reliability. [...]appropriate bearing selection and dimensioning, as well as the optimal design of the bearing environment, are indispensable. Visitors from both the lubricant community and end-user OEMs will find a comprehensive showcase of all lubricant technologies, including finished lubricants, additives, process equipment and machinery, condition monitoring, automation systems, testing and analysis, data technologies, lubricant manufacturing equipment, end-user application systems and more.

20.
Digital Government: Research and Practice ; 2(1), 2021.
Article in English | Scopus | ID: covidwho-1772329

ABSTRACT

The novel coronavirus that causes the now well-known COVID-19 illness has affected the whole world as the number of daily reported cases has exceeded 250,000. The spread trend of the virus across the globe has varied from one country to another, mainly because of each government's response. In this article, we discuss the statistics of the cases in Iraq and provide a projection model based on the current situation and government interventions. Using daily reported cases data from February 24, 2020 - July 31, 2020, we report 6-week-ahead projections of daily cases, critical cases, and deaths. Specifically, we propose a simple machine learning-based model based on Gaussian Process regression to project the future trend of COVID-19 in Iraq. This work aims to aid the Iraqi government by providing a statistical tool to provide future estimates of the suspected and death cases resulting from COVID-19 and make strategic decisions. © 2020 ACM.

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