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Sobre palavras conectivas | connective words em inglês
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Poverty may hinder kids’ brain development, study says
Reduced gray matter, lower test scores reported for poor children
July 20, 2015

Poverty appears to affect the brain development of children, hampering the growth of gray matter and impairing their academic performance, researchers report. Poor children tend to have as much as 10 percent less gray matter in several areas of the brain associated with academic skills, according to a study published July 20 in JAMA Pediatrics. “We used to think of poverty as a ‘social’ issue, but what we are learning now is that it is a biomedical issue that is affecting brain growth,” said senior study author Seth Pollak, a professor of psychology, pediatrics, anthropology and neuroscience at the University of Wisconsin-Madison.
The results could have profound implications for the United States, where low-income students now represent the majority of kids in public schools, the study authors said in background information. Fifty-one percent of public school students came from low-income families in 2013.
Previous studies have shown that children living in poverty tend to perform poorly in school, the authors say. They have markedly lower test scores, and do not go as far in school as their well-off peers.
To see whether this is due to some physical effect that poverty might have on a child’s brain, Pollak and his colleagues analyzed MRI scans of 389 typically developing kids aged 4 to 22, assessing the amount of gray matter in the whole brain as well as the frontal lobe, temporal lobe and hippocampus. “Gray matter contains most of the brain’s neuronal cells,” Pollak said. “In other words, other parts of the brain – like white matter – carry information from one section of the brain to another. But the gray matter is where seeing and hearing, memory, emotions, speech, decision making and self-control occur.”
Children living below 150 percent of the federal poverty level – US$ 36,375 for a family of four – had 3 percent to 4 percent less gray matter in important regions of their brain, compared to the norm, the authors found. Those in families living below the federal poverty level fared even worse, with 8 percent to 10 percent less gray matter in those same brain regions. The federal poverty level in 2015 is US$ 24,250 for a family of four. These same kids scored an average of four to seven points lower on standardized tests, the researchers said.
The team estimated that as much as 20 percent of the gap in test scores could be explained by reduced brain development. A host of poverty-related issues likely contribute to developmental lags in children’s brains, Pollak said. Low-income kids are less likely to get the type of stimulation from their parents and environment that helps the brain grow, he said. For example, they hear fewer new words, and have fewer opportunities to read or play games. Their brain development also can be affected by factors related to impoverishment, such as high stress levels, poor sleep, crowding and poor nutrition, Pollak said.
This study serves as a call to action, given what’s already known about the effects of poverty on child development, said Dr. Joan Luby, a professor of child psychiatry at Washington University School of Medicine in St. Louis. “The thing that’s really important about this study in the context of the broader literature is that there really is enough scientific evidence to take public health action at this point,” said Luby, who wrote an editorial accompanying the study. “Poverty negatively affects brain development, and we also know that early interventions are powerfully effective,” Luby said. “They are more effective than interventions later in life, and they also are cost-effective.”
(www.nlm.nih.gov. Adaptado.)





By Becky Oskin, Senior Writer. Adapted from http://www.
livescience.com/49262-indian-ocean-tsunami-anniversary.
html. December 26, 2014.
INSTRUÇÃO: A questão refere-se ao texto abaixo.
Victoria and Albert: how a royal love changed culture
By Lucinda Hawksley

Disponível em: <http://www.bbc.com/culture/story/20150623-victoria-albert-cultural-impact>.
Acesso em: 3 ago. 15. (Parcial e adaptado.)
I Despite the fact that Victoria and Albert often favoured artists from Germany (linha 30).
II Scottish authors Robert Louis Stevenson and Sir Walter Scott also owe Victoria a debt – in fact, the royal couple’s love of Scotland (linhas 42 e 43).
Genetically modified foods
Genetically modified (GM) foods are foods derived from organisms whose genetic material (DNA) has been modified in a way that does not occur naturally, e.g. through the introduction of a gene from a different organism. Currently available GM foods stem mostly from plants, but in the future foods derived from GM microorganisms or GM animals are likely to be introduced on the market. Most existing genetically modified crops have been developed to improve yield, through the introduction of resistance to plant diseases or of increased tolerance of herbicides.
In the future, genetic modification could be aimed at altering the nutrient content of food, reducing its allergenic potential, or improving the efficiency of food production systems. All GM foods should be assessed before being allowed on the market. FAO/WHO Codex guidelines exist for risk analysis of GM food.
(www.who.int)
Writers of memoirs and life stories never lack an audience. People are interested in the actual lives of others (l. 34-35)
The semantic relationship between the two sentences above can be made explicit by the additon of following connective:
If the two sentences above are rewritten as one, the result is:
We have learned, though, that this social engineering is a phantasm, (l. 17)
Nevertheless, despite this, and maybe even because of it, we cannot give up trying the impossible: (l. 21-22)
The connectives underlined express the same notion.
They could be replaced by:
A vision based on ideologies solves both challenges of sharing _ the interpretation of the past and the projections of the future. (l. 4-5)
The punctuation mark called dash, in the fragment above, signals the introduction of an explanation.
The dash is equivalent to the following connective:
of the inequality champions
August 22nd, 2012

Brazil might be the leading economy in Latin America and has had a significant performance in reducing poverty in recent years, but it still remains among the countries with the highest inequality in the region together with Guatemala, Honduras and Colombia, points out the UNHabitat report. In all four countries based on 2009 data, the Gini income per capita distribution index stood at 0.56, to which must be added Dominican Republic and Bolivia, two inequality champions with high concentration of wealth. This compares with the US and Portugal Gini indicator of 0.38, two countries that offer no relief since Portugal, for example, has the highest inequality index of the European Union.
Nevertheless, Brazil advanced compared to 1990 when it had the highest degree of inequality and stood well ahead from the rest of the continent. But the region continues to have the highest inequality rate in spite of advances in helping income distribution. Among some of the causes for distribution improvement are productivity, upward trend of salaries and workers categories, strong economy and implementation of income transfer programs in several countries, particularly in the two leading economies, Brazil and Mexico. In the case of Brazil, the country’s economy now figures sixth at global level.
Former president Lula da Silva and one of the most popular leaders in history of that country based his success precisely on the Bolsa Família Plan, which distributed a monthly basic food basket to millions, helping anywhere from 14 to 22 million climb out of poverty, plus ensuring his Workers Party an encouraging future. The Gini coefficient or index measures the inequality among values of a frequency distribution (for instance, levels of income). A Gini coefficient of zero expresses perfect equality where all values are the same (for instance, where everyone has an exactly equal income). A Gini coefficient of one (100 on the percentile scale) expresses maximal inequality among values (for instance, where only one person has all the income).
(http://en.mercopress.com. Adaptado.)









