- 20 MCQs (Multiple Choice Questions) | 5 Options Each Question |
- Texto (1) | Materials Science in the time of Coronavirus | https://link.springer.com |
- Texto (2) | COVID-19's impact on mobile robotics growth | https://isssource.com |
- Texto (3) | Mathematical Modeling of Epidemie Diseases; A Case Study of the COVID-19 Coronavirus |
- Texto (4) | Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China. |
- 20 MCQs (Multiple Choice Questions) | 5 Options Each Question |
❑ TEXTO 1: Para as questões de 01 a 10, escolha a alternativa que completa o texto.
Materials Science in the time of Coronavirus
Annela M. Seddon
Before 2020, phrases such as “social distancing” and “lock down” were not part of our normal vocabulary; however, it seems now that they are at the core of every conversation. We scientists naturally look to see where we ___(01)___ to help as we start to piece together what this new normal means for us.
___(02)___ a problem of the magnitude of a global pandemic cannot be undertaken by a single discipline. ___ (03)___ , while we are still in the early stages of this crisis, where emergency medical care and reducing pressure on health services are the ___(04)___ , we look to our clinicians, epidemiologists, and experts in the biomedical sciences for frontline solutions. ___(05)___ , we must think more broadly about the role of materials science.
Traditionally, when we think about “viral infection” our thoughts first turn to vaccines. After all, these ___(06)___ one the most successful public health interventions in human history, rendering what were ___(07)___ fatal or seriously debilitating diseases a thing of the past thanks to a simple ___(08)___ of inoculations. They will always remain the heavy artillery in our fight against viruses; however, in the situation we face at present, a vaccine against COVID-19 ___(09)___ some way into the future.
What then of antiviral agents? Over the last 50 years, more than 90 drugs have been approved as antivirals, ___(10)___ these target only nine human infectious diseases. It is tempting to think that the development of new antiviral agents is beyond the scope of what we traditionally call materials Science,...
- Adapted from: Journal of Materials Science. Materials Science in the time of Coronavirus. Available at: https://link.springer.com/article/10.1007/s10853-020-04694-4>[Accessed 21st May 2020).
01 – (IME-VESTIBULAR/2021)
(A) might be best placed
(B) could píace
(C) been placed
(D) should best place
(E) couldn’t have placed
(A) might be best placed (poderíamos estar posicionado melhor)("modal + be/get" é um indicativo de VOZ PASSIVA e expressa POSSIBILIDADE FUTURA.)
- A voz passiva é utilizada para:
- (1) Evitar assumir a responsabilidade direta da ação.
- >> The problem will be solved in no time.
- >> O problema será resolvido em pouco tempo.
- (2) Dar foco ao fato acontecido não ao autor do fato.
- >> I was robbed of my notebook yesterday.
- >> Meu notebook foi roubado ontem.
- (3) Evitar sujeitos vagos, como alguém, ninguém, todos, etc.
- >> Smoking is forbidden in this room.
- >> É proibido fumar neste quarto.
(B) could place (podíamos colocar)(1 erro: está na voz ativa)
* "could place" é uma estrutura verbal na VOZ ATIVA acrescida com ideia de possibilidade.
(C) been placed
(D) should best place
* "should best place" é uma estrutura verbal na VOZ ATIVA acrescida com ideia de conselho.
(E) couldn’t have placed (2 erros: não faz coesão no contexto e está na voz ativa)
02 – (IME-VESTIBULAR/2021)
(A) Having solved
(B) Tackling
(C) Assessing
(D) Regarding
(E) Having discussed
(A) Having solved (Ter resolvido)
(B) Tackling
(C) Assessing
(D) Regarding
(E) Having discussed (Ter discutido)(erro de Semântica: não faz coesão no contexto)
03 – (IME-VESTIBULAR/2021)
(A) Previously
(B) Then
(C) At this point
(D) Some time after
(E) Next time
(A) Previously (Anteriormente)
(B) Then
(C) At this point
* at this point (idiom) – in this moment, right now, at the stage we are at now.
(D) Some time after
(E) Next time (Da próxima vez)(ideia de "depois")
• “are”(presente de "be")
04 – (IME-VESTIBULAR/2021)
(A) eldership
(B) compliance
(C) arrangement
(D) priority
(E) least
(A) eldership (velhice)
(B) compliance
(C) arrangement
(D) priority
(E) least (mínimo)
05 – (IME-VESTIBULAR/2021)
(A) Unless
(B) In any event
(C) Randomly
(D) By doing so
(E) However
(A) Unless (A menos que, exceto se)(ideia de condição)
(B) In any event (Em todo o caso, de qualquer forma, seja como for)(
(C) Randomly
(D) By doing so
(E) However (Entretanto)(ideia de contraste, ou seja, contrapor ao que foi dito)
(A) have been arguably
(B) had already done
(C) were done
(D) were mostly worked
(E) have always done
(A) have been arguably (foram sem dúvida)(a estrutura deverá estar no PRESENT PERFECT que é usado para indicar que algo começou a ser feito no passado e ainda não terminou, ou seja, as vacinas foram utilizadas no passado e continua na atualidade, a intervenção mais bem sucedida contra as doenças.)
(B) had already done já tinham feito (2 erros: semântica e tempo verbal "Past Perfect")
(C) were done eram feitas (2 erros: semântica e tempo verbal "Simple Past")
(D) were mostly worked foram em sua maioria trabalhados (2 erros: semântica e tempo verbal "Simple Past")
(E) have always done sempre têm feito (erro de semântica, pois não faz coesão no contexto)
07 – (IME-VESTIBULAR/2021)
(A) hence
(B) once
(C) ever
(D) upon
(E) likewise
(A) hence (por isso)
(B) once
(C) ever
(D) upon
(E) likewise (igualmente)
08 – (IME-VESTIBULAR/2021)
(A) string
(B) flume
(C) amble
(D) track
(E) course
(A) string
(B) flume
(C) amble
(D) track
(E) course (curso, procedimento, processo)
https://context.reverso.net
09 – (IME-VESTIBULAR/2021)
(A) halts
(B) remains
(C) perpetrates
(D) subsides
(E) lengthens
(A) halts (parar, deter)
(B) remains
(C) perpetrates
(D) subsides
(E) lengthens (alongar. prolongar. aumentar. estender)
10 – (IME-VESTIBULAR/2021)
(A) despite
(B) yonder
(C) regardless of
(D) yet
(E) then
(A) despite (apesar de, embora)
(B) yonder
(C) regardless of
(D) yet
(E) then (então, depois, em seguida)
❑ TEXTO 2: Para as questões de 11 a 16, responda de acordo com o texto a seguir.
COVID-19's impact on mobile robotics growth
The COVID-19 pandemic is creating the opportunity for mobile robotsto be used for various markets and could lead to a reassessment of supply chains in the future.
Gregory Hale
“Crises shift perceptions on what is possible regarding investment and transformative action on the part of both private and government actors,” said Rian Whitton, sênior analyst at tech market advisory firm, ABI Research. “By the time the COVID-19 pandemic has passed, robots will be mainstreamed across a range of applications and markets.”
Mobile robots on display
One of the more popular applications has been deploying mobile unmanned platforms with Uitravioiet (UV) light to disinfect facilities. Danish company UVD Robots is reaping the benefits of this opportunity and is scaling up deployments of robots to disinfect hospitais.
U.S.-based Germ Falcon is offering a similar UV disinfection solution for aircraft, while Chinese TMiRob is deploying disinfection robots in Wuhan.
“Automating disinfection is a key part of maintaining health and safety and could be one of the major bright spots in the response to COVID-19,” Whitton said.
Drones have also been deployed to enforce curfews and surveil areas for security purposes.
Short-and long-term opportunities
This represents a big opportunity for aerospace and drone companies to increase sales to government agencies. ABI Research expects the small drone delivery market to reach $414 million by 2021 and $10.4 billion by 2030.
In the short term, to enforce quarantine mandates, governments will need to increase their security apparatuses, as well as the productivity of their medicai agencies. Robots will be key to achieving that through disinfection, monitoring, and surveillance. Furthermore, the shutting down of households and even ships represents a chance for robot delivery companies (for both land and air) to display their worth. The drone delivery market could take its experience with transporting supplies in the developing world and scale up their operations in the most affected countries.
Long-term, COVID-19 is leading to a significant reassessment of the global manufacturing supply Chain. America’s dependence on Chinese imports for basic equipment and medicines is becoming a contentious issue, and government representatives are already interpreting the crisis as a chance to revitalize the campaign to bring more manufacturing capacity to the domestic market. If this translates into more significant measures by governments to diversify or bringing back the manufacturing of key goods, this could bode very well for the robotics industry, as such changes would require big increases in CAPEX and productivity improvements within developed countries.
COVID-19 represents a disaster for robotics vendors building Solutions for developed markets in manufacturing, industry, and the supply chain. But for vendors targeting markets closerto government, such as health, security, and defense, it represents a big opportunity.
Whitton said, “Industrial players develop customized Solutions for non-manufacturíng use cases or look to build comprehensive Solutions for enabling a scale-up in medicai supply manufacturing. For mobile robotics vendors and software companies targeting more nascent markets, this represents a big chance to highlight the importance of robotics for dealing with national emergencies, as well as mitigating the economic shock.”
Available at: https://isssource.com/covid-19-and-growth-of-mobile-robotics/[Accessed 1stJune 2020].
11 – Choose the correct option.
(A) Robots can perform many tasks except for providing information about places.
(B) Despite all efforts, governments won't have invested 23 billion dollars in this market.
(C) Coronavirus has pointed to a specific market niche expected to increase.
(D) Robotics will be responsible for market growth after 2021.
(E) Crises mainly corroborate people’s concepts about financial reality.
Escolha a opção correta.
(A) Robots can perform many tasks except for providing information about places.
(B) Despite all efforts, governments won't have invested 23 billion dollars in this market.
(C) Coronavirus has pointed to a specific market niche expected to increase.
(D) Robotics will be responsible for market growth after 2021.
12 – Choose the correct option.
(A) Due to the pandemic, the private sector had to create products which don't need a person or a staff to operate them.
(B) There has been an increase in the use of UV light to decontaminate hospitais in Norway, the US and China.
(C) More than a company has had positive results from the use of the equipment they produce.
(D) Governments are considered improbable clients by a tech market advisory analyst.
(E) Although it is necessary to guarantee general security, curfews do not apply, and this is why drones should have its use enforced.
Escolha a opção correta.
(A) Due to the pandemic, the private sector had to create products which don't need a person or a staff to operate them.
(B) There has been an increase in the use of UV light to decontaminate hospitais in Norway, the US and China.
(C) More than a company has had positive results from the use of the equipment they produce.
(D) Governments are considered improbable clients by a tech market advisory analyst.
13 – Consider the following extract from Text.
- “In the short term, to enforce quarantine mandates, governments will need to increase their security apparatuses, as well as the productivity of their medicai agencies. Robots will be key to achieving that through disinfection, monitoring, and surveillance.”
The word “that” refers to:
(A) cleaning
(B) term
(C) robots
(D) medicine
(E) increase
“In the short term, to enforce quarantine mandates, governments will need to increase their security apparatuses, as well as the productivity of their medicai agencies. Robots will be key to achieving that through disinfection, monitoring, and surveillance.” A curto prazo, para fazer cumprir os mandatos de quarentena, os governos terão que aumentar os seus aparatos de segurança, bem como a produtividade das suas agências médicas. Os robôs serão fundamentais para conseguir isso através da desinfecção, monitoramento e vigilância.
A palavra “that” refere-se a:
(A) cleaning
(B) term
(C) robots
(D) medicine
14 – Choose the option that presents the definition of the word "curfews” as in
- “Drones have also been deployed to enforce curfews and surveil areas for security purposes”.
(A) cooperation to help watch crimes for a particular reason during some time
(B) old iaws which stop being followed in the aftermath of violent events
(C) specific masks during certain sanitary circumstances after a disease breaks out
(D) a rule requiring many or all people to stay home between specified hours
(E) general city rioting after organized warfare for a short period
Escolha a opção que apresenta a definição da palavra "curfews”(toques de recolher) como em
“Drones have also been deployed to enforce curfews and surveil areas for security purposes”. Drones também foram implantados para impor toques de recolher e vigiar áreas para fins de segurança.
(A) cooperation to help watch crimes for a particular reason during some time
(B) old iaws which stop being followed in the aftermath of violent events
(C) specific masks during certain sanitary circumstances after a disease breaks out
(D) a rule requiring many or all people to stay home between specified hours
15 – Choose the correct option.
(A) Solutions of broad scope were designed to increase supplies for the health area.
(B) Robots will still be regarded as a bit unusual after the pandemic.
(C) Most markets of future potential use robotics to deal with national emergencies.
(D) The author believes the industrial sector has bought more robots during the pandemic.
(E) While the pandemic lasts, the area of robotics will profit from selling equipment to any Client.
Escolha a opção correta.
(A) Solutions of broad scope were designed to increase supplies for the health area.
(B) Robots will still be regarded as a bit unusual after the pandemic.
(C) Most markets of future potential use robotics to deal with national emergencies.
(D) The author believes the industrial sector has bought more robots during the pandemic.
16 – Choose the correct option.
(A) Countries surely had a chance to manufacture absolutely necessary products again, so they became independent.
(B) China has sold state-of-the-art products.
(C) Some countries might have a chance to have their productive capabilities increased.
(D) The industry couldn’t come up with client-specific products during the pandemic.
(E) For some vendors and companies, the pandemic was a time to demonstrate limited-scope Solutions.
Escolha a opção correta.
(A) Countries surely had a chance to manufacture absolutely necessary products again, so they became independent.
(B) China has sold state-of-the-art products.
(C) Some countries might have a chance to have their productive capabilities increased.
(D) The industry couldn’t come up with client-specific products during the pandemic.
❑ TEXTO 3: Para as questões de 17 a 20, responda de acordo com os textos 1 e 2 a seguir.
Text 1
Mathematical Modeling of Epidemie Diseases; A Case Study of the COVID-19 Coronavirus
Reza Sameni
Abstract—The outbreak of the Coronavirus COVID-19 has taken the lives of several thousands worldwide and lockedout many countries and regions, with yet unpredictable global consequences. In this research we study the epidemic patterns of this virus, from a mathematical modeling perspective. The study is based on an extension of the well-known susceptible-infectedrecovered (SIR) family of compartmental models. It is shown how social measures such as distancing, regional lockdowns, quarantine and global public health vigilance influence the model parameters, which can eventually change the mortality rates and active contaminated cases over time, in the real world. As with all mathematical models, the predictive ability of the model is limited by the accuracy of the available data and to the so-called levei of abstraction used for modeling the problem. In order to provide the broader audience of researchers a better understanding of spreading patterns of epidemic diseases, a short introduction on biological systems modeling is also presented and the Matlab source codes for the simulations are provided online.
I. Introduction
Since the outbreak of the Coronavirus COVID-19 in January 2020, the virus has affected most countries and taken the lives of several thousands of people worldwide. By March 2020, the World Health Organization (WHO) declared the situation a pandemic, the first of its kind in our generation. To date, many countries and regions have been locked-down and applied strict social distancing measures to stop the virus propagation. From a strategic and healthcare management perspective, the propagation pattern of the disease and the prediction of its spread over time is of great importance to save lives and to minimize the social and economic consequences of the disease. Within the scientific community, the problem of interest has been studied in various communities including mathematical epidemiology, biological systems modeling, signal Processing and control engineering.
In this study, epidemic outbreaks are studied from an interdisciplinary perspective, by using an extension of the susceptibleexposed-infected-recovered (SEIR) model, which is a mathematical compartmental model based on the average behavior of a population under study. The objective is to provide researchers a better understanding of the significance of mathematical modeling for epidemic diseases. It is shown by simulation how social measures such as distancing, regional lockdowns and public health vigilance can influence the model parameters, which in turn change the mortality rates and active contaminated cases over time.
It should be highlighted that mathematical models applied to real-world systems (social, biological, economical, etc.) are only valid under their assumptions and hypothesis. Therefore, this research—and similar ones—that address epidemic patterns do not convey direct clinicai information and dangers for the public, but they should rather be used by healthcare strategists for better planning and decision making. Hence, the study of this work is only recommended for researchers familiar with the strength points and limitations of mathematical modeling of biological systems. The Matlab codes required for reproducing the results of this research are also online available in the Git repository of the project. In Section II, a brief introduction to mathematical modeling of biological systems is presented to highlight the scope of the present study and to open perspectives for the interested researchers, who may be less familiar with the context. The proposed model for the outspread of the Coronavirus is presented in Section III. The article is concluded with some general remarks and future perspectives.
Adapted from:
Mathematical Modeling of Epidemic Diseases;
A Case Study of COVID-19 Coronavirus.
Available at: [Accessed 61h June 2020].
Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China.
B. Ivorra, M. R. Ferrández, M. Vela-Pérez
and A. M. Ramosa
Abstract
In this paper we develop a mathematical model for the spread of the coronavirus disease 2019 (COVID-19). It is a new 0-SEIHRD model (not a SIR, SEIR or other general purpose model), which takes into account the known special characteristics of this disease, as the existence of infectious undetected cases and the different sanitary and infectiousness conditions of hospitalized people. In particular, it includes a novel approach that considers the fraction 0 of detected cases over the real total infected cases, which allows to study the importance of this ratio on the impact of COVID-19. The model is also able to estimate the needs of beds in hospitais. It is complex enough to capture the most important effects, but also simple enough to allow an affordable identification of its parameters, using the data that authorities report on this pandemic.
We study the particular case of China (including Chinese Mainland, Macao, Hong-Kong and Taiwan, as done by the World Health Organization in its reports on COVID-19), and use its reported data to identify the model parameters, which can be of interest for estimating the spread of COVID-19 in other countries. We show a good agreement between the reported data and the estimations given by our model. We also study the behavior of the outputs returned by our model when considering incomplete reported data (by truncating them at some dates before and after the peak of daily reported cases). By comparing those results, we can estimate the error produced by the model when identifying the parameters at early stages of the pandemic. Finally, taking into account the advantages of the novelties introduced by our model, we study different scenarios to show how different values of the percentage of detected cases would have changed the global magnitude of COVID-19 in China, which can be of interest for policy makers.
Keywords: Mathematical model, 6-SEIHRD model, COVID-19, Coronavirus, SARS-CoV-2, Pandemic, Numerical simulation, Parameter estimation
1. Introduction
Modeling and simulation are important decision tools that can be useful to control human and animal diseases. However, since each disease exhibits its own particular biological characteristics, the models need to be adapted to each specific case in orderto be able to tackle real situations.
Coronavirus disease 2019 (COVID-19) is an infectious disease emerging in China in December 2019 that has rapidly spread around China and many other countries. On 11 February 2020, the World Health Organization (WHO) renamed the epidemic disease caused by 2019-nCoV as strain severe acute respiratory syndrome coronavirus 2 (SARSCoV-2).
This is a new virus and a completely new situation. On 30 January 2020, WHO declared it to be a Public Health Emergency of International Concern. As of 11 March 2020, the disease was confirmed in more than 118,000 cases reported globally in 114 18 countries, more than 90 percent of cases are in just four countries (two of those China and the Republic of Korea - have significantly declining epidemics) and WHO declared it to be a pandemic, the first one caused by a coronavirus. On 1 April 2020 there are 872,481 and 43,275 official reported cases and deaths, respectively, and there is no vaccine specifically designed for this virus, with proven effectiveness.
There are some mathematical models in the literature that try to describe the dynamics of the evolution of COVID-19. (...) Other works, propose SEIR type models with little variations and some of them incorporate stochastic components. COVID-19 is a disease caused by a new virus, which is generating a worldwide emergency situation and needs a model taking into account its known specific characteristics.
Adapted from:Mathamatical modeling of thespread of he coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China.ln: Elsevier Public Health Emergency Collection, 2020.Avaliable at:<https://www.mcbi.nlm.nih.gov/pmc/articles/PMC7190554/> [Accessed4thJune2020].
17 – Choose the correct option.
(A) If the authors of both articles hadn't used the same mathematical models, they would have arrived at different results.
(B) Predictability of a model depends on accessible data and degree of abstraction.
(C) The way people are hospitalized is taken into account in both studies.
(D) It is important to know the pattern of how COVID-19 disseminates but not how long it will take to disperse over time.
(E) The way people behave doesn't interfere with the result of the mathematical model that shows the flow of the pandemic.
(A) If the authors of both articles hadn't used the same mathematical models, they would have arrived at different results.
(B) Predictability of a model depends on accessible data and degree of abstraction.
(C) The way people are hospitalized is taken into account in both studies.
(D) It is important to know the pattern of how COVID-19 disseminates but not how long it will take to disperse over time.
18 – Choose the correct option.
(A) In Text 2, information from China was used to identify the model parameters so that different countries could calculate the dissemination of COVID-19.
(B) For the authors of both articles, it is clear that it is impossible to estimate the errors of the models at any time.
(C) Regarding Text 1, common readers may have various questions answered since the study hasn't been targeted to a specific audience.
(D) The mathematical models which try to understand the disease do not need to be adjusted in any of the studies.
(E) According to Text 2, in March, less than a hundred countries had had reported cases of the new disease. Most of them had been in Asia.
(A) In Text 2, information from China was used to identify the model parameters so that different countries could calculate the dissemination of COVID-19.
(B) For the authors of both articles, it is clear that it is impossible to estimate the errors of the models at any time.
(C) Regarding Text 1, common readers may have various questions answered since the study hasn't been targeted to a specific audience.
(D) The mathematical models which try to understand the disease do not need to be adjusted in any of the studies.
19 – Choose the correct option.
(A) According to the Text 1, mathematical models not always need to be determined according to assumptions of reality when the aim is to try to predict what might happen.
(B) The authors of both texts could deal with incomplete data in the research each group was responsible for.
(C) The authors of Text 2 restricted their study to the dynamics of the disease in May since their model has introduced novelties.
(D) Since Matlab source codes are provided, the accuracy of each study can be checked online, so other researchers can reproduce the results.
(E) In Text 1, it is mentioned the study briefly explains biological systems modelling so that more scientists could understand how the disease dispersed.
(A) According to the Text 1, mathematical models not always need to be determined according to assumptions of reality when the aim is to try to predict what might happen.
(B) The authors of both texts could deal with incomplete data in the research each group was responsible for.
(C) The authors of Text 2 restricted their study to the dynamics of the disease in May since their model has introduced novelties.
(D) Since Matlab source codes are provided, the accuracy of each study can be checked online, so other researchers can reproduce the results.
20 – Choose the option in which the meaning of to convey is the same as in
- "(...) Therefore, this research- and similar ones- that address epidemic patterns do not convey direct clinical information and dangers for the public, (...)". (Text 1).
a) "For the past 30 years, developers of multi-family properties have been able to subdivide their property into individual units which could be conveyed to third parties without the need to obtain subdivision approval."
Available at:
<https://corporate.findlaw.com/business--0perations/land-condomi niums-areative-way-to-convey-property-without.html>
b) "The Transmission Unes carry electricity over extended distances, from the generating facility to different areas where they're needed. The electricity in transmission lines is conveyed at voltages of above 200 kV to amplify efficiency."
Available at:
<https://www.renaissancepowerandgas.com/how-
<loes-eleclricity-get-to-my-home/>
c) "The Atlantic and its marginal seas have been used as oceanic highways to convey goods and passengers since humans first ventured onto the sea. The earliest records of extensive trading networks in the world are from the Egyptian, Phoenician, Greek, and Roman civilizations."
Available at:
<https://www.britannica.com/place/
Atlantic-Ocean/Minerals-from-seawater>
d) "We carne to the conclusion, We Want to Play, their message might have been conveyed differently but at the end of the day the message wasn't too far off from what Big Ten United wanted to promote," Reynolds said."
Available at:
<https://fox11online.com/sports/college/
players-unite-in-push-to-save-college-season>
e) "The great difficulty to be overcome was the badness of the air, which got worse as the mountain was penetrated deeply. The blasting occasioned vast accumulations of foul air, which hung in the workings by reason of the gradients ascending from the Italian side. However, pure air was conveyed by the compressing apparatus in sufficient quantities to sustain the workmen."
Available at:
<https://www.amazon.in/Fruit-Between-
Leaves-Andrew-Wynter/dp/115044341 3>
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