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( ) Facilita o armazenamento e compartilhamento de arquivos, permitindo o acesso online e colaborativo.
( ) Permite videoconferências e chamadas de voz, facilitando a comunicação em tempo real e a realização de reuniões online.
( ) Ajuda a organizar e gerenciar eventos e reuniões, permitindo que as pessoas saibam quando e onde precisam estar.
Assinale a opção que indica a associação correta, na ordem apresentada.
Nesse caso, para reabrir a última guia fechada, o usuário deverá acionar o seguinte atalho de teclado:
Considerando que a referida pessoa não foi previamente aprovada em concurso público, é correto afirmar, à luz da Constituição do Estado de São Paulo, que
Na situação descrita, é correto afirmar que João
Com relação à Teoria Sintética da Evolução, avalie as afirmativas a seguir e assinale (V) para a verdadeira e (F) para a falsa.
( ) A recombinação gênica é um fator evolutivo. Nos eucariontes, ela ocorre devido a um processo mitótico: a permutação, também chamada de crossing-over.
( ) Do ponto de vista evolutivo, o antibiótico atua como um agente seletivo que mata as bactérias selvagens e deixa os recursos à disposição das bactérias que, estimuladas pelo medicamento, criaram resistência a ele. Estas se reproduzem e dão origem a populações inteiras de bactérias resistentes contra as quais aquele antibiótico exerce pouco efeito.
( ) A embriologia e a anatomia mostram que as asas dos insetos e as das aves têm origem embrionária e estrutura anatômica diferentes, embora tenham a mesma função. Essas são as chamadas estruturas análogas e decorrem de um processo de evolução divergente.
As afirmativas são, respectivamente,
A malária é uma doença infecciosa causada por
Em função desse modo de ação, o cloranfenicol pode causar, em humanos, efeitos colaterais devido à interrupção da(o)
Com relação a esse tema, avalie as afirmativas a seguir e assinale (V) para a verdadeira e (F) para a falsa.
( ) A molécula de DNA é composta por uma dupla cadeia de polinucleotídeos; cada nucleotídeo é formado por uma base nitrogenada, um açúcar e um fosfato. Em uma fita única de DNA, a ligação entre os nucleotídeos se faz entre o açúcar de um nucleotídeo e a base nitrogenada do seguinte.
( ) Um organismo multicelular complexo, como o humano, é formado por muitos tipos de células. Por exemplo, um neurônio e uma célula muscular de uma mesma pessoa, embora tenham igual número de cromossomos, são diferentes, pois seus genes não são os mesmos.
( ) Fatores do ambiente, como certos tipos de alimentos e poluentes, podem influenciar a expressão dos genes de um indivíduo, ativando-os ou inativando-os, sem alterar a sequência de bases do DNA.
As afirmativas são, respectivamente,
Após moagem das placas eletrônicas, o processo mais adequado para separar metais sólidos das demais partes trituradas não metálicas é a
Text I
Understanding bias in facial recognition technologies
Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation.
Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.
Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.
Adapted from: understanding_bias_in_facial_recognition_technology.pdf
Text I
Understanding bias in facial recognition technologies
Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation.
Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.
Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.
Adapted from: understanding_bias_in_facial_recognition_technology.pdf
Text I
Understanding bias in facial recognition technologies
Over the past couple of years, the growing debate around automated facial recognition has reached a boiling point. As developers have continued to swiftly expand the scope of these kinds of technologies into an almost unbounded range of applications, an increasingly strident chorus of critical voices has sounded concerns about the injurious effects of the proliferation of such systems on impacted individuals and communities. Critics argue that the irresponsible design and use of facial detection and recognition technologies (FDRTs) threaten to violate civil liberties, infringe on basic human rights and further entrench structural racism and systemic marginalisation. In addition, they argue that the gradual creep of face surveillance infrastructures into every domain of lived experience may eventually eradicate the modern democratic forms of life that have long provided cherished means to individual flourishing, social solidarity and human self-creation.
Defenders, by contrast, emphasise the gains in public safety, security and efficiency that digitally streamlined capacities for facial identification, identity verification and trait characterisation may bring. These proponents point to potential real-world benefits like the added security of facial recognition enhanced border control, the increased efficacy of missing children or criminal suspect searches that are driven by the application of brute force facial analysis to largescale databases and the many added conveniences of facial verification in the business of everyday life.
Whatever side of the debate on which one lands, it would appear that FDRTs are here to stay.
Adapted from: understanding_bias_in_facial_recognition_technology.pdf
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