Read the text to answer the question. 

    With the rising complexity of modern information systems and the resulting ever increasing flow of big data, the benefits of Artificial Intelligence (AI) are now widely recognized. Specifically, Machine Learning (ML) methods are already deployed to solve diverse real-world tasks – especially with the advent of deep learning. Fascinating examples of practical achievements of ML are machine translation, travel and vacation recommendations, object detection and tracking, and even various applications in healthcare. Furthermore, ML is rightly considered to be a technology enabler, as it has shown great potential in the context of telecommunication systems or autonomous driving.

    Nevertheless, modern society is increasingly relying on Information Technology (IT) systems – including autonomous ones – which are also actively leveraged by malicious entities. Digital threats are, in fact, continuously evolving, and some researchers believe attackers will have sufficient capabilities to harm or kill humans by 2025. To prevent such incidents and mitigate the plethora of risks that can target current and future IT systems, defensive mechanisms require the capability to quickly adapt to the (i) mutating environments and (ii) dynamic threat landscape. Coping with such a twofold requirement via static and human-defined methods is clearly unfeasible, and deployment of Machine Learning in cybersecurity is inescapable.

(https://dl.acm.org. Adaptad)

        Scientists have found that generally the world feels brighter when you wake up. 

        People start the day in the best frame of mind in the morning, but end in the worst, at about midnight, the findings suggest, with the day of the week and the season also playing a part.

        Mental health also tends to be more varied at weekends but steadier during the week, according to the study led by University College London.

        “Generally, things do seem better in the morning,” the researchers concluded.

        Mental health and wellbeing are dynamic in nature, and subject to change over short and long periods. However, few studies have looked at how they might change over the course of the day.

        Scientists wanted to explore whether time of day was associated with variations in mental health, happiness, life satisfaction, sense of life being worthwhile and loneliness.

        People in the study answered questionnaires, with questions such as: “In the past week, how happy did you feel?”, “How satisfied have you been with your life?”, and “To what extent have you felt the things you are doing in your life are worthwhile?”

        Factors such as age, health conditions and whether people worked were taken into account.

        The results showed that happiness, life satisfaction, and worthwhile ratings were all higher on Mondays and Fridays than on Sundays, while happiness was also higher on Tuesdays. There was no evidence that loneliness differed across days of the week.

        There was clear evidence of a seasonal influence on mood. Compared with winter, people tended to have lower levels of depressive and anxiety symptoms and loneliness, and higher levels of happiness, and feeling that life was worthwhile in the three other seasons.

        Mental health was best in the summer across all outcomes. But the season didn’t affect the associations observed across the day, however.

        This was an observational study, so it cannot establish cause.

The Guardian.com. February 5, 2025. Adaptado.

Read Text I and answer question.

Text I

More More More: What Is Money Dysmorphia?  

     Do you ever worry that you don't have enough money, even though your bank account suggests you're doing fine? You might be experiencing "money dysmorphia.” This is a term for when a person has a distorted view of their financial situation — particularly when a wealthy person believes they don't have enough money to be secure. The idea is similar to body dysmorphia, where a person agonizes about flaws they perceive in their body, even if they are not noticeable to others.

    American lawyer and financial expert Ali Katz may have been the first to use the term, having written about money dysmorphia extensively in 2016. But it wasn't until late 2023 that it started trending. Because, as it turns out, the feeling can be pretty common — especially among young people.

     In August 2023, Bloomberg published the results of a survey of over 1,000 Americans making over $175,000 a year. And while earning this much would put these people among the 10% richest in the country, a quarter of them said they felt "very poor," "poor,” or that they were just managing to get by.

   In addition, a December 2023 survey for Intuit Credit Karma found that, out of 1,006 Americans, 29% experienced money dysmorphia — which the survey defined as "having a distorted view of one's finances that could lead them to make poor decisions.” That figure rose to 41% among millennials, who are usually defined as those born between 1981 and 1996. And it was 43% among Generation Z, typically considered to have been born between 1997 and 2012.

  Some believe social media is to blame. With Instagram and TikTok full of influencers flaunting lavish lifestyles, it's understandable that young people might feel insecure about their own financial situations. And as well as causing stress, money dysmorphia might make people stay in jobs they don't like, or choose work over spending time with their families.

  Speaking to Business Insider, Katz said it's important to actually calculate how much is enough for you — and "know the difference between what you need and what you want."

Adapted from: https://engoo.com.br/app/dailynews/article/more-more-more-what-is-moneydysmorphia/eMBHgsr7Ee6RxDeDj30Epw