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Q4275857 Inglês
Choose the correct option to complete the sentence. 

Unfortunately, the city council had to stop the construction of the community centre as their resources _________ .
Alternativas
Q4275856 Inglês
New Al System could prevent vessel collisions by reducing dependence on ship Captain


Researchers at Texas A&M University have created an intelligent Al system that can help prevent accidents and collisions at sea. Named 'Ship Collision Avoidance of Machine Learning and Radar Technology for Stationary Entities and Avoidance', or SMART-SEA, the platform works to decrease the dependence on ship captains.


The project team was led by Dr Mirjan Fürth, an assistant professor of ocean engineering, who was awarded a contract by the US Department of the Interior (DOI) and the US Department of Energy (DOE) through the Ocean Energy Safety Institute (OESI). It is not completely an autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime traffic,weather and other factors.


This makes navigation safer and easier for the crew, transiting crucial or dangerous waterways by providing additional information and instructions. Collisions between vessels and accidents like ships hitting stationary structures like rigs or lighthouses are becoming common, and most are caused by human error. This Al system will help eliminate that, stated the project team.


Massive vessels have a lot of forward momentum that their shipping distances are measured in miles rather than metres. They also turn very slowly, meaning that any collision has to factor in this slow movement while also adjusting for sensor time lags, ocean current impacts and several other factors.


The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The research team also said that the system combines raw radar imaging data with machine learning, enabling it to identify moving objects even in bad weather with limited visibility.


The machine learning algorithm detects stationary objects as well from a large distance. The system uses computational fluid dynamics models and machine learning, which have been previously trained on vessel motions, the team added. The system does all of this while complying with International Regulations for Preventing Collisions at Sea (COLREGS).


(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the option that completes the text correctly.

By the time the tugboat finally _____________, the other vessel ____________ for two hours. The Captain later _____________ that if the engine had failed earlier, the grounding _____________ .
Alternativas
Q4275855 Inglês
New Al System could prevent vessel collisions by reducing dependence on ship Captain


Researchers at Texas A&M University have created an intelligent Al system that can help prevent accidents and collisions at sea. Named 'Ship Collision Avoidance of Machine Learning and Radar Technology for Stationary Entities and Avoidance', or SMART-SEA, the platform works to decrease the dependence on ship captains.


The project team was led by Dr Mirjan Fürth, an assistant professor of ocean engineering, who was awarded a contract by the US Department of the Interior (DOI) and the US Department of Energy (DOE) through the Ocean Energy Safety Institute (OESI). It is not completely an autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime traffic,weather and other factors.


This makes navigation safer and easier for the crew, transiting crucial or dangerous waterways by providing additional information and instructions. Collisions between vessels and accidents like ships hitting stationary structures like rigs or lighthouses are becoming common, and most are caused by human error. This Al system will help eliminate that, stated the project team.


Massive vessels have a lot of forward momentum that their shipping distances are measured in miles rather than metres. They also turn very slowly, meaning that any collision has to factor in this slow movement while also adjusting for sensor time lags, ocean current impacts and several other factors.


The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The research team also said that the system combines raw radar imaging data with machine learning, enabling it to identify moving objects even in bad weather with limited visibility.


The machine learning algorithm detects stationary objects as well from a large distance. The system uses computational fluid dynamics models and machine learning, which have been previously trained on vessel motions, the team added. The system does all of this while complying with International Regulations for Preventing Collisions at Sea (COLREGS).


(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the alternative in which the relative pronoun is used correctly in the sentence.
Alternativas
Q4275854 Inglês
New Al System could prevent vessel collisions by reducing dependence on ship Captain


Researchers at Texas A&M University have created an intelligent Al system that can help prevent accidents and collisions at sea. Named 'Ship Collision Avoidance of Machine Learning and Radar Technology for Stationary Entities and Avoidance', or SMART-SEA, the platform works to decrease the dependence on ship captains.


The project team was led by Dr Mirjan Fürth, an assistant professor of ocean engineering, who was awarded a contract by the US Department of the Interior (DOI) and the US Department of Energy (DOE) through the Ocean Energy Safety Institute (OESI). It is not completely an autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime traffic,weather and other factors.


This makes navigation safer and easier for the crew, transiting crucial or dangerous waterways by providing additional information and instructions. Collisions between vessels and accidents like ships hitting stationary structures like rigs or lighthouses are becoming common, and most are caused by human error. This Al system will help eliminate that, stated the project team.


Massive vessels have a lot of forward momentum that their shipping distances are measured in miles rather than metres. They also turn very slowly, meaning that any collision has to factor in this slow movement while also adjusting for sensor time lags, ocean current impacts and several other factors.


The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The research team also said that the system combines raw radar imaging data with machine learning, enabling it to identify moving objects even in bad weather with limited visibility.


The machine learning algorithm detects stationary objects as well from a large distance. The system uses computational fluid dynamics models and machine learning, which have been previously trained on vessel motions, the team added. The system does all of this while complying with International Regulations for Preventing Collisions at Sea (COLREGS).


(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Mark the correct option to fill in the blank.

The analysts didn't know which platform to choose from. Both platforms seemed to have a _____ integration with the other tools.
Alternativas
Q4275853 Inglês
New Al System could prevent vessel collisions by reducing dependence on ship Captain


Researchers at Texas A&M University have created an intelligent Al system that can help prevent accidents and collisions at sea. Named 'Ship Collision Avoidance of Machine Learning and Radar Technology for Stationary Entities and Avoidance', or SMART-SEA, the platform works to decrease the dependence on ship captains.


The project team was led by Dr Mirjan Fürth, an assistant professor of ocean engineering, who was awarded a contract by the US Department of the Interior (DOI) and the US Department of Energy (DOE) through the Ocean Energy Safety Institute (OESI). It is not completely an autonomous system, rather it provides 'a human-in-theloop', who gives real-time instructions based on maritime traffic,weather and other factors.


This makes navigation safer and easier for the crew, transiting crucial or dangerous waterways by providing additional information and instructions. Collisions between vessels and accidents like ships hitting stationary structures like rigs or lighthouses are becoming common, and most are caused by human error. This Al system will help eliminate that, stated the project team.


Massive vessels have a lot of forward momentum that their shipping distances are measured in miles rather than metres. They also turn very slowly, meaning that any collision has to factor in this slow movement while also adjusting for sensor time lags, ocean current impacts and several other factors.


The Al system has been developed keeping all the above-mentioned factors in mind and is extremely accurate. The research team also said that the system combines raw radar imaging data with machine learning, enabling it to identify moving objects even in bad weather with limited visibility.


The machine learning algorithm detects stationary objects as well from a large distance. The system uses computational fluid dynamics models and machine learning, which have been previously trained on vessel motions, the team added. The system does all of this while complying with International Regulations for Preventing Collisions at Sea (COLREGS).


(From: <https://www.marineinsight.com/.../new-ai-systemcould.../>)
Which of the following statements represents the relationship between the Al system and the ship Captain, as decribed in the text above?
Alternativas
Q4275852 Inglês
Read the text and answer the question that follow it.


Balancing Al and Critical Thinking for the Military Leaders of Tomorrow


Al is becoming increasingly embedded in daily life, transforming the way we work, communicate, and make decisions. From virtual assistants and personalized recommendations to smart home devices and automated customer service, Al streamlines everyday tasks and enhances convenience. As Al continues to evolve, its role in our livelihoods will only expand, making it an essential tool for productivity and innovation. Rather than resisting this technology, we should embrace it. Al has the potential to enhance and expand our knowledge, enabling more informed decision-making.

For future military leaders, it is critical that education and training prioritize independent thinking and decisive action rather than an overreliance on Al-driven systems. Leaders must develop the confidence to question Al outputs, evaluate their accuracy, and consider multiple perspectives before making informed decisions, rather than blindly accepting computer-generated recommendations. Al struggles in unpredictable, high-stakes environments where training data is insufficient to cover every potential contingency. Future conflicts will demand leaders who can adapt in real time, assess emerging threats, and execute decisions based on experience, judgment, and battlefield awareness - not just what a computer system suggests. To maintain a strategic edge and operational superiority, military leaders must cultivate a disciplined decision-making process that integrates Al as a tool while ensuring that human intuition, adaptability, and ethical reasoning remain at the forefront of command decisions. Though the possibilities of Al are vast and impressive, it is crucial to remember that its role should not be replace, but to complement human intelligence.

The rapid evolution of Al presents both a strategic advantage and a formidable challenge in shaping the next generation of military leaders. Al can enhance decisionmaking, optimize operations, and expand battlefield awareness, yet it must remain a force multiplier - not a replacement for human intellect. The true test of future leadership lies in striking the right balance: leveraging Al's capabilities while preserving the independent thought, adaptability, and critical reasoning essential for command in today's volatile geopolitical environment. In an era where peer adversaries are racing to develop their own Aldriven strategies, our leaders must be prepared to out-think, not just out-tech, the competition. Al should sharpen human cognition, not dull it - because the future of warfare will be won by those who can command both machine intelligence and the power of the human mind.


(Abridged from <https://mwi.westpoint.edu/warfare-at-thespeed-of-thought-balancing-ai-and-critical-thinking-for-themilitary-leaders-of-tomorrow/>)
Read the statements about the text and decide whether they are true (T) or false (F). Then mark the correct sequence.

( ) Al is increasingly immersed in most aspects of daily life, such as communications and conveniences.
( ) Future military leaders should not rely solely on Al for decision-making, as its output may not be precise.
( ) Questioning Al outputs and evaluating their accuracy are skills that ought to be developed in military training.
( ) Relying primarily on Al may optimise decision-making in high-stake environments.
( ) Al should be seen as an essential tool to out-tech and out-think potential enemies.
Alternativas
Q4275851 Inglês
Read the text and answer the question that follow it.


Balancing Al and Critical Thinking for the Military Leaders of Tomorrow


Al is becoming increasingly embedded in daily life, transforming the way we work, communicate, and make decisions. From virtual assistants and personalized recommendations to smart home devices and automated customer service, Al streamlines everyday tasks and enhances convenience. As Al continues to evolve, its role in our livelihoods will only expand, making it an essential tool for productivity and innovation. Rather than resisting this technology, we should embrace it. Al has the potential to enhance and expand our knowledge, enabling more informed decision-making.

For future military leaders, it is critical that education and training prioritize independent thinking and decisive action rather than an overreliance on Al-driven systems. Leaders must develop the confidence to question Al outputs, evaluate their accuracy, and consider multiple perspectives before making informed decisions, rather than blindly accepting computer-generated recommendations. Al struggles in unpredictable, high-stakes environments where training data is insufficient to cover every potential contingency. Future conflicts will demand leaders who can adapt in real time, assess emerging threats, and execute decisions based on experience, judgment, and battlefield awareness - not just what a computer system suggests. To maintain a strategic edge and operational superiority, military leaders must cultivate a disciplined decision-making process that integrates Al as a tool while ensuring that human intuition, adaptability, and ethical reasoning remain at the forefront of command decisions. Though the possibilities of Al are vast and impressive, it is crucial to remember that its role should not be replace, but to complement human intelligence.

The rapid evolution of Al presents both a strategic advantage and a formidable challenge in shaping the next generation of military leaders. Al can enhance decisionmaking, optimize operations, and expand battlefield awareness, yet it must remain a force multiplier - not a replacement for human intellect. The true test of future leadership lies in striking the right balance: leveraging Al's capabilities while preserving the independent thought, adaptability, and critical reasoning essential for command in today's volatile geopolitical environment. In an era where peer adversaries are racing to develop their own Aldriven strategies, our leaders must be prepared to out-think, not just out-tech, the competition. Al should sharpen human cognition, not dull it - because the future of warfare will be won by those who can command both machine intelligence and the power of the human mind.


(Abridged from <https://mwi.westpoint.edu/warfare-at-thespeed-of-thought-balancing-ai-and-critical-thinking-for-themilitary-leaders-of-tomorrow/>)
Concerning the vocabulary underlined in the text and their meaning in context, we can only affirm that: 
Alternativas
Q4238825 Química
Sobre ligações químicas e camada de valência, assinale a opção correta.
Alternativas
Q4238824 Química
A reação entre um ácido forte e uma base forte é uma reação de neutralização. Em um recipiente cilíndrico, foram misturados ácido nítrico e hidróxido de sódio. No mesmo laboratório, em um recipiente esférico, foram misturados ácido sulfúrico e hidróxido de potássio. Considerando que todos os reagentes estão em proporção estequiométrica e que as reações foram completas, assinale a opção correta.
Alternativas
Q4238823 Química
Sobre a estrutura do átomo e os modelos atômicos, assinale a opção correta.
Alternativas
Q4238822 Química
Balanceie a reação de combustão do octano apresentada abaixo e assinale a opção com os índices estequiométricos corretos da esquerda para a direita:

C8H18+ O2 CO2+ H2O
Alternativas
Q4238821 Química
Assinale a opção que apresenta apenas misturas homogêneas. 
Alternativas
Q4238820 Química
Em um experimento, foram colocados para reagir 213g de gás cloro e fósforo sólido em excesso, produzindo a reação balanceada abaixo:

P4(s) + 6 Cl2(g) → 4 PCl3(L)

Calcule a massa de cloreto de fósforo produzido e assinale a opção correta.
Dados: massas molares: Cl = 35,5 g/mol; P = 31 g/mo!.
Alternativas
Q4238819 Física
A figura abaixo mostra um bloco de massa 3 kg que desliza a partir de 1 m de altura na superfície e em seguida atinge uma mola de constante elástica igual a 3.103 N/m, comprimindo-a 10 cm. 

Captura_de tela 2026-08-14 141001.png (443×143)

Determine o valor da energia dissipada na situação descrita no sistema acima e assinale a opção correta.
Dado: aceleração da gravidade 10 m/s2
Alternativas
Q4238818 Física
A figura abaixo mostra a correspondência de uma escala termométrica H com a escala termométrica Celsius.

Captura_de tela 2026-08-14 140954.png (258×322)

Com base nessas informações, uma temperatura de 100 °C terá um valor correspondente na escala H igual a: 
Alternativas
Q4238817 Física
Em uma máquina há duas polias que funcionam num processo de transmissão de movimento por correia, a primeira tem raio de 15 cm e 150 rotações por segundo. Qual é a quantidade de voltas em um minuto da segunda polia se ela tiver um raio de 30 cm?
Alternativas
Q4238816 Física
Considere as afirmativas abaixo sobre o fenômeno de refração da luz:

I- A velocidade da luz é diretamente proporcional ao indice de refração.
II- A refração é um fenômeno no qual a luz sempre sofre desvio.
IIl- A luz, ao incidir obliquamente em um dioptro plano, pode sofrer reflexão total.
IV- A luz, ao incidir obliquamente em um dioptro, pode sofrer refração aproximando-se da reta normal.

Assinale a opção correta.
Alternativas
Q4238815 Física
A figura abaixo representa um circuito no qual há as siglas dos aparelhos elétricos: MO - micro-onda, CH - chuveiro e L - lâmpada, com suas respectivas potências. 

Captura_de tela 2026-08-14 140945.png (238×406)

Com base nessas informações, a energia em kWh consumida no circuito durante o uso diário de 3 horas em um mês é de aproximadamente:
Alternativas
Q4238814 Física
A figura abaixo mostra um bloco de massa M que desce um plano inclinado sem atrito puxado para baixo com uma força horizontal Captura_de tela 2026-08-14 141603.png (36×57) .

Captura_de tela 2026-08-14 140936.png (306×198)

Com base nessas informações, qual a opção que apresenta o módulo da força normal aplicado ao bloco M pela superfície do plano inclinado?
Alternativas
Q4238813 Biologia
Um professor de ciências acabou de descobrir que será pai. Ele então pediu aos seus alunos que avaliassem qual a probabilidade de o seu bebê ter o lóbulo da orelha preso. Para isso ele deu duas informações importantes:

I- O professor apresenta o lóbulo da orelha solto, enquanto sua esposa apresenta o lóbulo da orelha preso ao pescoço.
II- A condição de lóbulo da orelha solto é dominante em relação à de lóbulo preso.

A partir das informações acima, qual é a resposta correta?
Alternativas
Respostas
281: D
282: E
283: D
284: B
285: D
286: A
287: C
288: D
289: B
290: A
291: E
292: D
293: C
294: C
295: D
296: E
297: B
298: A
299: A
300: C