Questões de Inglês - Grammar
Questão 15 6715312USS 2022/1
PREDICTING TOOTH LOSS
Machine-learning algorithms may help identify those at risk
Tooth loss is often accepted as a natural part of aging, but what if there was a way to better identify
those most susceptible without the need for a dental exam? New research led by investigators at Harvard
School of Dental Medicine suggests that machine learning tools can help identify those at greatest risk for
tooth loss and refer them for further dental assessment in an effort to ensure early interventions to avert
 or delay the condition.
The study compared five algorithms using a different combination of variables to screen for risk. The results
showed those that factored medical characteristics and socioeconomic variables, such as race, education,
arthritis, and diabetes, outperformed algorithms that relied on dental clinical indicators alone.
Tooth loss can be physically and psychologically debilitating. It can undoubtedly affect quality of life,
 well-being, nutrition, and social interactions. The process can be delayed, even prevented, if the earliest signs of dental disease are identified, and the condition treated promptly. Yet, many people with dental disease may not see a dentist until the process has advanced far beyond the point of saving a tooth. This is precisely where screening tools could help identify those at highest risk and refer them for further assessment, the team said. This approach could also be used globally, in a variety of health care settings,
 even by non-dental professional.
“Our findings suggest that the machine-learning algorithm models incorporating socioeconomic
characteristics were better at predicting tooth loss than those relying on routine clinical dental indicators
alone,” Elani said. “This work highlights the importance of social determinants of health. Knowing the
patient’s education level, employment status, and income is just as relevant for predicting tooth loss as
 assessing their clinical dental status.
Indeed, it has long been known that low-income and marginalized populations experience a disproportionate
share of the burden of tooth loss, due to lack of regular access to dental care, among other reasons, and
early identification and prompt care are critical in preventing tooth loss. These new findings point to an
important new tool in achieving that and Dr. Elani and her research team shed new light on how they can
 most effectively target prevention efforts and improve quality of life for patients.
Adapted from sciencedaily.com. June 24, 2021. Accessed 17 September 2021.
Yet, many people with dental disease may not see a dentist until the process has advanced far beyond the point of saving a tooth. (l. 11-12)
A word with the same semantic value can be found in one of the fragments below:
Questão 60 7176259PUC-SP Inverno 2019
Responda a questão de acordo com o texto abaixo
The drugs don’t work: what happens after antibiotics?
Antibiotic resistance is growing so fast that routine surgery could soon become impossible. But scientists are fighting back in the battle against infection
1- The first antibiotic that didn’t work for Debbi Forsythe was trimethoprim. In March 2016, Forsythe, a genial primary care counsellor from Morpeth, Northumberland, contracted a urinary tract infection. UTIs are common: more than 150 million people worldwide contract one every year. So when Forsythe saw her GP, they prescribed the usual treatment: a three-day course of antibiotics. When, a few weeks later, she fainted and started passing blood, she saw her GP again, who again prescribed trimethoprim.
2- Three days after that, Forsythe’s husband Pete came home to find his wife lying on the sofa, shaking, unable to call for help. He rushed her to A&E. She was put on a second antibiotic, gentamicin, and treated for sepsis, a complication of the infection that can be fatal if not treated quickly. The gentamicin didn’t work either. Doctors sent Forsythe’s blood for testing, but such tests can take days: bacteria must be grown in cultures, then tested against multiple antibiotics to find a suitable treatment. Five days after she was admitted to hospital, Forsythe was diagnosed with an infection of multi-drug-resistant E coli, and given ertapenem, one of the so-called “last resort” antibiotics.
3- It worked. But damage from Forsythe’s episode has lingered and she lives in constant fear of an infection reoccurring. Six months after her collapse, she developed another UTI, resulting, again, in a hospital stay. “I’ve had to accept that I will no longer get back to where I was,” she says. “My daughter and son said they felt like they lost their mum, because I wasn’t who I used to be.” But Forsythe was fortunate. Sepsis currently kills more people in the UK than lung cancer, and the number is growing, as more of us develop infections immune to antibiotics.
4- Antimicrobial resistance (AMR) – the process of bacteria (and yeasts and viruses) evolving defense mechanisms against the drugs we use to treat them – is progressing so quickly that the UN has called it a “global health emergency”. At least 2 million Americans contract drug-resistant infections every year. So-called “superbugs” spread rapidly, in part because some bacteria are able to borrow resistance genes from neighbouring species via a process called horizontal gene transfer. In 2013, researchers in China discovered E coli containing mcr-1, a gene resistant to colistin, a last-line antibiotic that, until recently, was considered too toxic for human use. Colistin-resistant infections have now been detected in at least 30 countries.
5- “In India and Pakistan, Bangladesh, China, and countries in South America, the resistance problem is already endemic,” says Colin Garner, CEO of Antibiotic Research UK. In May 2016, the UK government’s Review on Antimicrobial Resistance forecast that by 2050 antibiotic-resistant infections could kill 10 million people per year – more than all cancers combined.
6- “We have a good chance of getting to a point where for a lot of people there are no [effective] antibiotics,” Daniel Berman, leader of the Global Health team at Nesta, told me. The threat is difficult to imagine. A world without antibiotics means returning to a time without organ transplants, without hip replacements, without many now-routine surgeries. It would mean millions more women dying in childbirth; make many cancer treatments, including chemotherapy, impossible; and make even the smallest wound potentially lifethreatening. As Berman told me: “Those of us who are following this closely are actually quite scared.”
7- Bacteria are everywhere: in our bodies, in the air, in the soil, coating every surface in their sextillions. Many bacteria produce antibiotic compounds – exactly how many, we don’t know – probably as weapons in a microscopic battle for resources between different strains of bacteria that has been going on for billions of years. Because bacteria reproduce so quickly, they are able to evolve with astonishing speed. Introduce bacteria to a sufficiently weak concentration of an antibiotic and resistance can emerge within days. Penicillin resistance was first documented in 1940, a year before its first use in humans. (A common misconception is that people can become antibioticresistant. They don’t – the bacteria do.)
Oliver Franklin-Wallis Sun 24 Mar 2019 In: https://www.theguardian.com/global/2019/mar/24/ the-drugs-dont-work-what-happens-after-antibiotics
No sexto parágrafo, outra maneira de dizer “Those of us who are following this closely are actually quite scared”, pode ser
Questão 92 215990UECE 2° Fase 1° Dia 2013
The need to constantly adapt is the new reality for many workers, well beyond the information technology business. Car mechanics, librarians, doctors, Hollywood special effects designers — virtually everyone whose job is touched by computing — are being forced to find new, more efficient ways to learn as retooling becomes increasingly important not just to change careers, but simply to stay competitive on their chosen path.
Going back to school for months or years is not realistic for many workers, who are often left to figure out for themselves what new skills will make them more valuable, or just keep them from obsolescence. In their quest to occupy a useful niche, they are turning to bite-size instructional videos, peer-to-peer forums and virtual college courses.
Lynda Gratton, a professor of management practice at the London Business School, has coined a term for this necessity: “serial mastery.”
“You can’t expect that what you’ve become a master in will keep you valuable throughout the whole of your career, and you want to add to that the fact that most people are now going to be working into their 70s,” she said, adding that workers must try to choose specialties that cannot be outsourced or automated. “Being a generalist is, in my view, very unwise. Your major competitor is Wikipedia or Google.”
Businesses have responded by pouring more money into training, even in the current economic doldrums, according to several measures. They have experimented by paying employees to share their expertise in internal social networks, creating video games that teach and, human resources consultants say, enticing employees with tuition help even if they leave the company.
Individuals have also shouldered a lot of responsibility for their own upgrades. Lynda.com, which charges $25 a month for access to training videos on topics like the latest version of Photoshop, says its base of individual customers has been growing 42 percent a year since 2008. Online universities like Udacity and Coursera are on pace to double in size in a year, according to Josh Bersin of Bersin & Associates, a consulting firm that specializes in learning and talent management. The number of doctors participating in continuing education programs has more than doubled in the last decade, with the vast majority of the growth stemming from the increased popularity of Internet-based activities, according to the Accreditation Council for Continuing Medical Education in Chicago.
The struggle is not just to keep up, but to anticipate a future of rapid change. When the AshevilleBuncombe Technical Community College in North Carolina wanted to start a program for developing smartphone and tablet apps, the faculty had to consider the name carefully. “We had this title Mobile Applications, and then we realized that it may not be apps in two years, it may be something else,” said Pamela Silvers, the chairwoman of the business computer technologies department. “So we changed it to Mobile Development.”
As the metadata and digital archivist at Emory University, Elizabeth Russey Roke, 35, has had to keep up with evolving standards that help different databases share information, learn how to archive “born digital” materials, and use computers to bring literary and social connections among different collections to life. The bulk of her learning has been on the job, supplemented by the occasional course or videos on Lynda.com.
“For me, it’s easier to learn something in the classroom than it is on my own,” she said. “But I can’t exactly afford another three years of library school.”
Rapid change is a challenge for traditional universities; textbooks and even journals often lag too far behind the curve to be of help, said Kunal Mehta, a Ph.D. student in bioengineering at Stanford University. His field is so new, and changing so rapidly, he said, that there is little consensus on established practices or necessary skills. “It’s more difficult to know what we should learn,” he said. “We have advisers that we work with, but a lot of times they don’t know any better than us what’s going to happen in the future.”
Instead, Mr. Mehta, 26, spends a lot of time comparing notes with others in his field, just as many professionals turn to their peers to help them stay current. The International Automotive Technicians Network, where mechanics pay $15 a month to trade tips on repairs, has more than 75,000 active users today, up from 48,000 in 2006, said Scott Brown, the president.
In an economy where new, specialized knowledge is worth so much, it may seem anticompetitive to share expertise. But many professionals say they don’t see it that way.
“We’re scattered all over the country, Australia, New Zealand, the U.K., so it never really bothered us that we were sharing the secrets of what we do,” said Bill Moss, whose repair shop in Warrenton, Va., specializes in European cars, and who is a frequent user of peer-to-peer forums.
Mr. Moss, 55, said technological advances and proprietary diagnostic tools had forced many garages to specialize. Ten years ago, if his business had hit a slow patch, he said, he would have been quicker to broaden his repertory. “I might have looked at other brands and said, ‘These cars aren’t so bad.’ That’s much harder to do now, based on technology and equipment requirements.” His training budget is about $4,000 a year for each repair technician.
Learning curves are not always driven by technology. Managers have to deal with different cultures, different time zones and different generations as well as changing attitudes. As medical director of the Reproductive Science Center of New England, Dr. Samuel C. Pang has used patient focus groups and sensitivity training to help the staff adjust to treating lesbian couples, gay male couples, and transgendered couples who want to have children. This has given the clinic a competitive advantage.
“We have had several male couples and lesbian couples come to our program from our competitors’ program because they said they didn’t feel comfortable there,” Dr. Pang said.
On top of that, he has to master constantly evolving technology. “The amount of information that I learned in medical school is minuscule,” he said, “compared to what is out there now.”
The sentences “In their quest for a useful niche, they are turning to bite-size instructional videos, peer-to-peer forums and virtual college courses.” and “The need to constantly adapt is the new reality for many workers, well beyond the information technology business.” should be classified, respectively, as
Questão 49 49202ESPM 2011/2
Turning the third frame of the strip into the third conditional, we would have: