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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
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246652 Noções de Informática
Um formulário está sendo personalizado no ambiente Google Workspace. A primeira pergunta é do tipo “Múltipla escolha” e seu texto foi digitado na caixa de pergunta como “PRATICA esportes?”, com a palavra “PRATICA” toda escrita em maiúsculas e a palavra “esportes” formatada em negrito. Uma imagem foi inserida como elemento ilustrativo e duas opções de resposta foram definidas como “Sim” e “Não”, conforme captura da tela exibida a seguir.

Captura_de tela 2026-08-21 094856.png (442×571)

A função do botão Captura_de tela 2026-08-21 094907.png (37×43) é a de
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246651 Noções de Informática
Célia está fazendo uma busca na Internet sobre corrida em equipe. Sua primeira busca retornou aproximadamente 145000 resultados, como mostra a figura.

Captura_de tela 2026-08-21 094803.png (512×223)

Como o interesse de Célia é em corrida em equipe, mas apenas na modalidade ciclismo, ela refinou sua busca de modo a sinalizar esse seu interesse com o seguinte texto:

Captura_de tela 2026-08-21 094808.png (517×69)

Dessa maneira, as páginas retornadas deverão conter, não necessariamente entre aspas:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246650 Noções de Informática
No MS-Excel 2016, considere os seguintes valores digitados nas 3 primeiras linhas das colunas A e B e a fórmula definida para a célula C2:

Captura_de tela 2026-08-21 094715.png (443×101)

Considere também as fórmulas definidas para as células A4 e B4:

Captura_de tela 2026-08-21 094719.png (429×108)

Nessas condições, o valor exibido na célula B4 é
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246649 Noções de Informática
No MS-Word 2016, um parágrafo está formatado para ter suas linhas justificadas. Observe a passagem de uma linha para a seguinte nesse parágrafo:

Captura_de tela 2026-08-21 095025.png (442×51)

Note que o número “7” ficou na linha de baixo, separado da palavra “laboratório”. Uma alternativa para manter a palavra “laboratório” e o número “7” juntos, na mesma linha, sem forçar uma quebra de linha manual, consiste na inserção de um caractere especial entre essa palavra e esse número, de maneira a se obter o seguinte efeito desejado:

Captura_de tela 2026-08-21 095011.png (441×48)

Esse caractere especial pode ser inserido a partir da caixa de diálogo Símbolo, conforme mostra a figura: 

Captura_de tela 2026-08-21 095017.png (447×402)

O caractere especial que deve ser inserido entre a palavra “laboratório” e o número “7” para se obter o efeito desejado é:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246648 Legislação Estadual
A respeito da Segurança Pública, com base na Constituição do Estado de São Paulo, tem-se que:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246647 Direito Constitucional
Uma operação policial está sendo organizada em área sob forte influência de uma organização criminosa que, além de comandar o tráfico de drogas na região, exerce controle ilícito sobre a prestação de serviços de telefonia, de internet e de entrega de encomendas. A operação tem por objetivo o cumprimento de 30 mandados de prisão, inclusive de integrantes da cúpula da organização criminosa.
Na véspera da operação, diante do elevado risco de confronto armado e da possibilidade de resistência à atuação policial, Fábio, oficial da Polícia Militar responsável pelo briefing da tropa, relembra aos policiais as medidas que poderão ser adotadas durante a ação e as cautelas necessárias para assegurar o respeito aos direitos e às garantias fundamentais.

Com base nessa situação hipotética, é compatível com a Constituição Federal:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246646 Biologia
A figura representa de forma simplificada o ciclo reprodutivo de um tomateiro.

Captura_de tela 2026-08-21 101336.png (407×287)
(https://apachealth.com. Adaptado.)

Durante o ciclo reprodutivo do tomateiro, a sequência de eventos biológicos que se sucedem até a formação do fruto é:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246645 Biologia
   Em agosto, no hemisfério Norte, é possível ver árvores com atividade metabólica reduzida, sobretudo a cerejeira-brava (Prunus avium), a tramazeira (Sorbus aucuparia) e o mostajeiro (Sorbus torminalis). Embora ainda possam se valer de muitos dias lindos de sol até meados do outono, elas ganham uma tonalidade avermelhada, mudança que indica que essas árvores estão direcionando recursos metabólicos para a sobrevivência no inverno.

(Peter Wohlleben. A vida secreta das árvores, 2017. Adaptado.)

De acordo com as regras de nomenclatura científica, as árvores mencionadas no excerto pertencem a 
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246644 Biologia
Em uma espécie de roedores, a cor e a forma dos pelos são determinadas por alelos autossômicos não ligados. A cor preta do pelo é dominante em relação à cor branca. A forma enrolada do pelo é dominante em relação à forma lisa. Do cruzamento entre um roedor macho de pelos brancos e enrolados e uma fêmea de pelos pretos e lisos, nasceram filhotes com pelos brancos e lisos e filhotes com pelos pretos e enrolados. O genótipo desses filhotes nascidos com pelos pretos e enrolados é ________. A probabilidade de uma próxima descendência desse mesmo casal gerar um filhote, independentemente do sexo, com pelos pretos e enrolados é _______.

As lacunas do texto são preenchidas, respectivamente, por:
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246643 Biologia
    Em um de seus experimentos, Gregor Mendel (1866) cruzou plantas puras de sementes lisas com plantas puras de sementes rugosas e chamou essa geração de P. Na primeira geração de filhos (F1) obtidos do cruzamento de plantas da geração P, Mendel obteve somente plantas de sementes lisas. O caráter rugoso parecia haver desaparecido nessa geração. Deixando que os F1 se autofecundassem, conseguiu, na segunda geração de filhos (F2), plantas de sementes lisas e também plantas de sementes rugosas.

(César da Silva Júnior e Sezar Sasson. Biologia, 2007. Adaptado.)

A partir do experimento mencionado no excerto, Mendel concluiu que
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246642 Biologia
    Com a confirmação da presença do coral-sol pela primeira vez no litoral Sul de Alagoas, cresce o temor pela não preservação da vida marinha na região. Ele é uma espécie invasora considerada agressiva, pois seus tentáculos danificam o tecido de corais vizinhos. Além disso, sua alta capacidade reprodutiva faz com que a vida marinha praticamente desapareça nos locais onde se instala. Segundo pesquisas, o coral-sol representa uma ameaça ao ecossistema à medida que se expande para novas áreas no Brasil.

(https://g1.globo.com, 28.03.2022. Adaptado.)

O coral-sol referido no excerto pertence ao filo de invertebrados que apresentam
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246641 Biologia
nalise a figura de uma célula eucariótica.

Captura_de tela 2026-08-21 101058.png (365×270)
(https://ecampusontario.pressbooks.pub. Adaptado.)

As estruturas celulares responsáveis pela fosforilação oxidativa e pela síntese de lipídios estão indicadas, respectivamente, pelos números
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246640 Química
A figura representa duas etapas de um experimento semelhante àquele realizado por Lavoisier, utilizando uma balança de dois pratos, que envolve reações químicas e determinação das massas que acompanham essas reações. 

Captura_de tela 2026-08-21 101024.png (432×182)
(Imagem gerada por IA. www.chatgpt.com)

No sistema 1, um recipiente hermeticamente fechado, contendo ar e uma folha de papel em seu interior, foi colocado no prato esquerdo da balança e equilibrado por uma massa X no prato direito. Após a combustão da folha de papel, com a formação de cinzas no interior do recipiente e sem alteração das demais condições experimentais, obteve-se o sistema 2, cujo equilíbrio na balança foi restabelecido pela inserção da massa Y no prato direito.

Considerando a 1ª Lei Ponderal proposta por Lavoisier, que teve como base o experimento semelhante, as massas de X e Y serão 
Alternativas
Ano: 2026 Banca: VUNESP Órgão: PM-SP Prova: VUNESP - 2026 - PM-SP - Cadete PM |
Q4246639 Matemática
Na indústria confeiteira, o xarope de glicose é utilizado, por exemplo, para fornecer maciez e brilho em recheios e caldas. Industrialmente, é obtido a partir de hidrólise de amido de milho, sendo o xarope formado principalmente por glicose. Na falta do produto industrializado, um substituto pode ser produzido pela dissolução, a 20 ºC, de 1,40 g de glicose por 1 mL do xarope. Uma confeitaria, para providenciar uma encomenda não programada, precisou preparar 2 litros de xarope de glicose substituto. A massa de glicose que a confeitaria utilizou no preparo desse volume de xarope foi de
Alternativas
Respostas
241: E
242: D
243: B
244: D
245: A
246: C
247: B
248: A
249: E
250: C
251: B
252: A
253: B
254: A
255: E
256: C
257: B
258: D
259: E
260: A