scholarly journals Death in the Line of Duty: Caregivers in the Plague narratives

Author(s):  
Seema Sinha ◽  

The dystopian tropes in the plague narratives shift our gaze from the presence of professional ethics to the Gothic horror that unfolds subsequently. Yet whether it is the Great Plague of London in the year 1665, or the Novel Coronavirus in Mumbai in the year 2020, the rampant spread of the contagion and the associated dread bring into focus the selflessness of the caregivers, namely, the medical and the para-medic staff. Comparing the occurrences, one historical, the other still unfolding, this study examines the eery similarities that delineate contagion as metaphor, and the role of doctors in the pandemics. The aim is to find out what happens when the doctors stumble – to succumb to fear, to fall prey to diseases that flesh is subject to, or to violate the oath of Hippocrates. We intend to scrutinize if like soldiers on the battle-front, these frontline warriors also keep their tryst with death in the line of duty, or does History record otherwise. Whether the pestilence be classical or modern, the response of the caregivers is the cornerstone on which any society is grounded. The purpose of this study is to evaluate if courage in the face of disaster is still relevant in this age of anxiety, or does self-preservation win against ethics and morality. A close reading of Daniel Defoe’s A Journal of the Plague Year gives us an insight into the timelessness of such issues, especially in a world that is plagued with maladies of its own making.

2020 ◽  
Author(s):  
Xingyi Guo ◽  
Zhishan Chen ◽  
Yumin Xia ◽  
Weiqiang Lin ◽  
Hongzhi Li

Abstract Background: The outbreak of coronavirus disease (COVID-19) was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), through its surface spike glycoprotein (S-protein) recognition on the receptor Angiotensin-converting enzyme 2 (ACE2) in humans. However, it remains unclear how genetic variations in ACE2 may affect its function and structure, and consequently alter the recognition by SARS-CoV-2. Methods: We have systemically characterized missense variants in the gene ACE2 using data from the Genome Aggregation Database (gnomAD; N = 141,456). To investigate the putative deleterious role of missense variants, six existing functional prediction tools were applied to evaluate their impact. We further analyzed the structural flexibility of ACE2 and its protein-protein interface with the S-protein of SARS-CoV-2 using our developed Legion Interfaces Analysis (LiAn) program.Results: Here, we characterized a total of 12 ACE2 putative deleterious missense variants. Of those 12 variants, we further showed that p.His378Arg could directly weaken the binding of catalytic metal atom to decrease ACE2 activity and p.Ser19Pro could distort the most important helix to the S-protein. Another seven missense variants may affect secondary structures (i.e. p.Gly211Arg; p.Asp206Gly; p.Arg219Cys; p.Arg219His, p.Lys341Arg, p.Ile468Val, and p.Ser547Cys), whereas p.Ile468Val with AF = 0.01 is only present in Asian.Conclusions: We provide strong evidence of putative deleterious missense variants in ACE2 that are present in specific populations, which could disrupt the function and structure of ACE2. These findings provide novel insight into the genetic variation in ACE2 which may affect the SARS-CoV-2 recognition and infection, and COVID-19 susceptibility and treatment.


Author(s):  
Branka B. Ognjanović

The paper provides an insight into the destabilisation of the subject and the emergence of the posthuman condition in the novel Night Work (Die Arbeit der Nacht, 2006) by Austrian writer Thomas Glavinic. The first part briefly discusses previous analyses of the novel and the definitions of posthumanism as an umbrella term for a heterogeneous theory dedicated to the questions of what follows after the re-consideration of the humanist ideals and after decentring the human. The posthuman is interpreted as non-fixed, in the state of constant reconstruction as opposed to the humanist subject’s fixedness and integrity. The analysis examines the ‘uncanny’ setting of the novel and the power of survival in the face of death, which becomes the protagonist’s point of demise and divergence from consciousness and rationality. The urban environment devoid of all organic life replaces the Other applied traditionally to other humans. The Sleeper as the nightly doppelgänger and the filming of the environment further add to the transgression of the boundaries between material and immaterial, the living and the non-living, the real and the dreamlike/artificial, and ultimately determine the protagonist’s posthuman existence in the state of ‘becoming’ rather than ‘being’.


2020 ◽  
Vol 10 (5) ◽  
pp. 6444-6459 ◽  

The rapid spread of the novel coronavirus (SARS-CoV-2) as a serious threat to the world public health is in dire need of finding potential therapeutic agents. Chinese have tested several antiviral and antimalarial drugs as potent inhibitors for the novel virus, such as remdesivir, chloroquine, hydroxychloroquine, umifenovir and favipiravir. In this study, we used the molecular docking models to study the binding interactions between these pharmaceuticals, as well as our proposed remdesivir analogue (AZCV-20) with the 3CLpro and RNA-dependent RNA polymerase (RdRp) of the SARS-CoV-2, using MEO and Autodock4 methods. Our study provides insight into the possible role of structural flexibility and efficacy during interactions between 3CLpro, RdRp and the drugs.


2020 ◽  
Author(s):  
Xingyi Guo ◽  
Zhishan Chen ◽  
Yumin Xia ◽  
Weiqiang Lin ◽  
Hongzhi Li

Abstract Background: The outbreak of coronavirus disease (COVID-19) was caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), through its surface spike glycoprotein (S protein) recognition on the receptor Angiotensin-converting enzyme 2 (ACE2) in humans. However, it remains unclear how genetic variations in ACE2 may affect its function and structure, and consequently alter the recognition by SARS-CoV-2. Methods: We have systemically characterized missense variants in the gene ACE2 using data from the Genome Aggregation Database (gnomAD; N = 141,456). To investigate the putative deleterious role of missense variants, six existing functional prediction tools were applied to evaluate their impact. We further analyzed structural flexibility of ACE2 and the protein-protein interface with the S protein of SARS-CoV-2 using our developed Legion Interfaces Analysis (LiAn) program. Results: Here, we characterized a total of 12 ACE2 putative deleterious missense variants. Of those 12 variants, we further showed that p.His378Arg could directly weaken the binding of catalytic metal atom to decrease ACE2 activity and p.Ser19Pro could distort the most important helix to the S-protein. Another seven missense variants may affect secondary structures (i.e. p.Gly211Arg; p.Asp206Gly; p.Arg219Cys; p.Arg219His, p.Lys341Arg, p.Ile468Val, and p.Ser547Cys), whereas p.Ile468Val with AF = 0.01 is only present in Asian. Conclusions: We provide strong evidence of putative deleterious missense variants in ACE2 that are present in specific populations, which could disrupt the function and structure of ACE2. These findings provide novel insight into the genetic variation in ACE2 which may affect the SARS-CoV-2 recognition and infection, and COVID-19 susceptibility and treatment.


Author(s):  
Dr. Uma Shankar Shukla

How does COVID-19 pandemic affect the India? How many people can be hit in a state and how many of them will succumb to the disease? When is it going to peak? How long should the government continue with the lockdown? What is the damage to the economy and what is its impact on each sector? These are some of the questions that haunt not only the decision makers but every sensible people in India. Mathematical models developed by mathematicians and epidemiologists has come to assist decision makers in evaluating the effects of countermeasures to an epidemic before they actually deploy them. The model could give political and beuricatic person's critical insights into the best steps they could take to counter the spread of disease in the face of pandemics. Mathematicians use modeling to represent, analyze and make predictions or otherwise provide insight into real world phenomena. Real world scenarios can be designed into a mathematical model to bring clarity to big messy questions amid fast changing variables. These models aim to make simplifying assumptions in order to arrive at tractable equations. Dealing with the novel coronavirus is an unprecedented situation which the world could not have foreseen. In order to track the COVID-19 pandemic, make predictions about the disease's progression and take decisions, as of now, the government is solely dependent on data from doctors and health workers.


2021 ◽  
Vol 12 ◽  
Author(s):  
Zhili Tian ◽  
Guohui Liang ◽  
Kunli Cui ◽  
Yayu Liang ◽  
Qun Wang ◽  
...  

RNA interference (RNAi), also known as gene silencing, is a biological process that prevents gene expression in certain diseases such as cancer. It can be used to improve the accuracy, efficiency, and stability of treatments, particularly genetic therapies. However, challenges such as delivery of oligonucleotide drug to less accessible parts of the body and the high incidence of toxic side effects are encountered. It is therefore imperative to improve their delivery to target sites and reduce their harmful effects on noncancerous cells to harness their full potential. In this study, the role of RNAi in the treatment of COVID-19, the novel coronavirus disease plaguing many countries, has been discussed. This review aims to ascertain the mechanism and application of RNAi and explore the current challenges of RNAi therapy by identifying some of the cancer delivery systems and providing drug information for their improvement. It is worth mentioning that delivery systems such as lipid-based delivery systems and exosomes have revolutionized RNAi therapy by reducing their immunogenicity and improving their cellular affinity. A deeper understanding of the mechanism and challenges associated with RNAi in cancer therapy can provide new insights into RNAi drug development.


2020 ◽  
Vol 11 (SPL1) ◽  
pp. 977-982
Author(s):  
Mohamed J. Saadh ◽  
Bashar Haj Rashid M ◽  
Roa’a Matar ◽  
Sajeda Riyad Aldibs ◽  
Hala Sbaih ◽  
...  

SARS-COV2 virus causes Coronavirus disease (COVID-19) and represents the causative agent of a potentially fatal disease that is of great global public health concern. The novel coronavirus (2019) was discovered in 2019 in Wuhan, the market of the wet animal, China with viral pneumonia cases and is life-threatening. Today, WHO announces COVID-19 outbreak as a pandemic. COVID-19 is likely to be zoonotic. It is transmitted from bats as intermediary animals to human. Also, the virus is transmitted from human to human who is in close contact with others. The computerized tomographic chest scan is usually abnormal even in those with no symptoms or mild disease. Treatment is nearly supportive; the role of antiviral agents is yet to be established. The SARS-COV2 virus spreads faster than its two ancestors, the SARS-CoV and Middle East respiratory syndrome coronavirus (MERS-CoV), but has lower fatality. In this article, we aimed to summarize the transmission, symptoms, pathogenesis, diagnosis, treatment, and vaccine to control the spread of this fatal disease.


2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.


2020 ◽  
Author(s):  
James Druckman ◽  
Samara Klar ◽  
Yanna Krupnikov ◽  
Matthew Levendusky ◽  
John B. Ryan

Affective polarization is a defining feature of 21st century American politics—partisans harbor considerable dislike and distrust of those from the other party. Does this animus have consequences for citizens’ opinions? Such effects would highlight not only the consequences of polarization, but also shed new light onto how citizens form preferences more generally. Normally, this question is intractable, but the outbreak of the novel coronavirus allows us to answer it. We find that affective polarization powerfully shapes citizens’ attitudes about the pandemic, as well as the actions they have taken in response to it. However, these effects are conditional on the local severity of the outbreak, as the effects decline in areas with high caseloads—threat vitiates partisan reasoning. Our results clarify that closing the divide on important issues requires not just policy discourse but also attempts to reduce inter-partisan hostility.


Author(s):  
Dunja Apostolov-Dimitrijevic

This paper explains political democratization in Post-Milosevic Serbia, utilizing two different accounts of the democratization process: one rooted in the rational choice framework and the other in structuralism. While rational choice explains the decisive role of political leadership in overcoming path dependence, the structuralist explanations show the transnational linkages that encourage democratization in the face of domestic setbacks. This particular debate between the two types of explanations represents the larger debate concerning the role of internal factors and external linkages in propelling democratization in transitional societies. The paper concludes by integrating the two sets of explanations offered by each theoretical perspective, in order to develop a coherent understanding of Serbia's democratization.   Full text available at: https://doi.org/10.22215/rera.v9i1.240


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