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A autoridade máxima de determinada agência reguladora federal negou requerimento administrativo apresentado por Caio, que, diante da decisão denegatória, interpôs recurso perante o ministério supervisor ao qual a agência se vincula.
Tendo como referência a situação hipotética precedente, julgue o item que se segue.
Os recursos administrativos decorrem do exercício do poder
de polícia.
A autoridade máxima de determinada agência reguladora federal negou requerimento administrativo apresentado por Caio, que, diante da decisão denegatória, interpôs recurso perante o ministério supervisor ao qual a agência se vincula.
Tendo como referência a situação hipotética precedente, julgue o item que se segue.
Agência reguladora é entidade da administração pública
indireta constituída sob a forma de autarquia especial.
A autoridade máxima de determinada agência reguladora federal negou requerimento administrativo apresentado por Caio, que, diante da decisão denegatória, interpôs recurso perante o ministério supervisor ao qual a agência se vincula.
Tendo como referência a situação hipotética precedente, julgue o item que se segue.
O recurso de Caio é ato administrativo que se caracteriza
como controle judicial.
Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.
These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.
The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.
Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another.
In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.
Internet: <www.skygrid.com> (adapted).
Based on the previous text, judge the following item.
The word “their” (second sentence of the second paragraph)
refers back to “sectors” (first sentence of the second
paragraph).
Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.
These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.
The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.
Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another.
In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.
Internet: <www.skygrid.com> (adapted).
Based on the previous text, judge the following item.
In the context of drones, as presented in the text, the words
“uncrewed” (first sentence of the second paragraph) and
‘unmanned’ (first sentence of the fourth paragraph) convey
the same idea.
Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.
These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.
The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.
Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another.
In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.
Internet: <www.skygrid.com> (adapted).
Based on the previous text, judge the following item.
The article foresees a possible use of drones to identify
victims of accidents by detecting temperature emitted by
their bodies.
Drones are an integral part of the defense and supply-chain industry. However, their prowess and versatility extend beyond these sectors. As the demand for UAVs (unmanned aerial vehicles) continues to increase, the drone market is now estimated to be valued at over 127 billion dollars.
These uncrewed aircrafts can potentially develop numerous sectors, including transport and travel, exponentially. This is primarily due to their remarkable evolution of collision-avoidance technologies through computer vision and artificial intelligence, allowing them to operate autonomously.
The dynamic innovation of drone transportation can positively impact emergency services by decreasing emergency response time, offering valuable data from inaccessible regions, and identifying victims via thermal imaging.
Though the concept of a UAV emerges from being “unmanned,” its autonomous power can be used to create functional, personal transportation. Well-known companies like Uber, Airbus, and Boeing are constantly working on developing self-flying drones that can take people from one place to another.
In conclusion, drone transportation has a lot of untapped potential beyond supply chain and security surveillance. Whether it is for emergencies, luxury, or space exploration, the future is optimistic for the travel industry.
Internet: <www.skygrid.com> (adapted).
Based on the previous text, judge the following item.
It can be concluded from the text that the potential of drones
for the transportation of people is still an overlooked and
unexplored matter.
According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
“We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.”
Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.
With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.
Internet: <www.labmanager.com> (adapted).
Judge the following item according to the previous text.
Traditional measuring techniques offered restricted input
about the flight of insects.
According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
“We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.”
Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.
With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.
Internet: <www.labmanager.com> (adapted).
Judge the following item according to the previous text.
Professor Cheng and his team have acquired fresh
perspective on the mechanics of wing motion in
hummingbirds.
According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
“We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.”
Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.
With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.
Internet: <www.labmanager.com> (adapted).
Judge the following item according to the previous text.
The research findings presented in the text have yielded
numerous advancements for the aerospace industry.
According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
“We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.”
Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.
With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.
Internet: <www.labmanager.com> (adapted).
Judge the following item according to the previous text.
According to the text, Penn State researchers were the first to
use the genetic algorithm to investigate flying patterns.
According to researchers in Mechanical Engineering at Penn State University, hummingbirds have extreme aerial agility and flight forms, which is why many drones and other aerial vehicles are designed to mimic hummingbird movement. Using a novel modeling method, Professor Bo Cheng and his team of researchers gained new insights into how hummingbirds produce wing movement, which could lead to design improvements in flying robots.
“We essentially reverse-engineered the inner working of the wing musculoskeletal system — how the muscles and skeleton work in hummingbirds to flap the wings,” said first author and Penn State mechanical engineering graduate student Suyash Agrawal. “The traditional methods have mostly focused on measuring activity of a bird or insect when they are in natural flight or in an artificial environment where flight-like conditions are simulated. But most insects and, among birds specifically, hummingbirds are very small. The data that we can get from those measurements are limited.”
Penn State researchers used muscle anatomy literature, computational fluid dynamics simulation data and wing-skeletal movement information captured using micro-CT and X-ray methods to inform their model. They also used an optimization algorithm based on evolutionary strategies, known as the genetic algorithm, to calibrate the parameters of the model. According to the researchers, their approach is the first to integrate these disparate parts for biological fliers.
With this model, the researchers uncovered previously unknown principles of hummingbird wing actuation. While Cheng emphasized that the results from the optimized model are predictions that will need validation, he said that it has implications for technological development of aerial vehicles.
Internet: <www.labmanager.com> (adapted).
In the text, the term ‘reverse-engineered’ (first sentence of the second paragraph) is not referring to an industrial product, which represents a variation of its conventional meaning.
Divisor de tensão é um circuito formado por resistores que permite obter, a partir da alimentação fornecida, qualquer valor de tensão menor, necessário ao funcionamento dos circuitos.
Caso a alimentação a memórias do tipo RAM (random access memory) seja desligada, os dados armazenados nessas memórias serão perdidos.
Uma interface de rede que utilize o algoritmo leaky bucket e que tenha grande quantidade de dados para ser transmitida mantém constante a quantidade de transmissão, modelando o tráfego.
Considerando a situação hipotética apresentada, julgue o item seguinte.
A possibilidade de o governo liberar uma linha de crédito para empresas de aviação que possuam projetos de expansão é um exemplo de oportunidade a ser considerada na análise estratégica de cenários.
Considerando a situação hipotética apresentada, julgue o item seguinte.
Um fator crítico de sucesso da estratégia definida para aumento do número de aeronaves é o pequeno capital para investimento existente na TKX.
Um planejamento formal que atenda às necessidades burocráticas da ação educativa assegura por si o êxito do processo educativo elaborado.
Considerando a situação hipotética apresentada, julgue o item seguinte.
A empresa TKX, em sua análise estratégica, considera que a concorrência com outras empresas que estão realizando fusões com companhias internacionais caracteriza-se como uma ameaça.
No estágio operação do serviço, a execução de um serviço é monitorada e controlada pelo processo de gerenciamento de nível de serviço, com vistas a se detectar os eventos e a se resolver os incidentes ou problemas.
Conheça nossos planos