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448 result(s) for "Hvistendahl, Mara"
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Unnatural selection : choosing boys over girls, and the consequences of a world full of men
\"Lianyungang, a booming port city, has China's most extreme gender ratio for children under four: 163 boys for every 100 girls. These numbers don't seem terribly grim, but in ten years, the skewed sex ratio will pose a colossal challenge. By the time those children reach adulthood, their generation will have twenty-four million more men than women. The prognosis for China's neighbors is no less bleak: Asia now has 163 million females \"missing\" from its population. Gender imbalance reaches far beyond Asia, affecting Georgia, Eastern Europe, and cities in the U.S. where there are significant immigrant populations. The world, therefore, is becoming increasingly male, and this mismatch is likely to create profound social upheaval. Historically, eras in which there have been an excess of men have produced periods of violent conflict and instability. Mara Hvistendahl has written a stunning, impeccably-researched book that does not flinch from examining not only the consequences of the misbegotten policies of sex selection but Western complicity with them\"-- Provided by publisher.
Analysis of China's one-child policy sparksuproar
Colleagues call demographer's findings flawed and irresponsible. A new study of China's one-child policy is roiling demography, sparking calls for the field's leading journal to withdraw the paper. The paper concerns claims about how many births were avoided by the policy, which was in place from 1980 to 2016. Scholars have long contested the Chinese government's assertion that the policy avoided 400 million births. Through comparisons with a number of other countries, though, independent researcher Daniel Goodkind suggests that the number may, in fact, have merit. In comments sent to editors of the journal Demography , other scholars contend that Goodkind's paper relies on faulty assumptions and is \"morally irresponsible.\"
My Microbiome and Me
Zhao Liping combines traditional Chinese medicine and studies of gut microbes to understand and fight obesity. In 2004, microbiologists showed a link between obesity and gut microbiota in mice. To find out whether that link extended to humans, microbiologist Zhao Liping adopted a regimen involving Chinese yam and bitter melon—fermented prebiotic foods that are believed to change the growth of bacteria in the digestive system—and monitored not just his weight loss but also the microbes in his gut. When he combined these prebiotics with a diet based on whole grains, he lost 20 kilograms in 2 years. His blood pressure, heart rate, and cholesterol level came down. Faecalibacterium prausnitzii— a bacterium with anti-inflammatory properties—flourished, increasing from an undetectable percentage to 14.5% of his total gut bacteria. The changes persuaded him to focus on the microbiome's role in his transformation. He started with mice but has since expanded his research to humans.
CRIME FORECASTERS
Police are turning to big data to stop crime before it happens. But is predictive policing biased—and does it even work? Many police departments, both in the United States and abroad, have adopted or are interested in predictive policing, an approach that seeks to predict where and when crime is likely to occur or identifies people most at risk of becoming a perpetrator or a victim. Supporters say predictive policing—which uses large data sets and algorithms borrowed from fields as diverse as seismology and epidemiology—can help bring down crime rates while also reducing bias in policing. But civil liberties groups and racial justice organizations argue that the algorithms perpetuate racial prejudice and they worry about privacy issues. To what degree predictive policing actually prevents crime, meanwhile, is still up for debate.
China's Publication Bazaar
A Science investigation has uncovered a smorgasbord of questionable practices including paying for author's slots on papers written by other scientists and buying papers from online brokers. Science has exposed a thriving academic black market in China involving shady agencies, corrupt scientists, and compromised editors—many of them operating in plain view. The commodity: papers in journals indexed by Thomson Reuters' Science Citation Index, Thomson Reuters' Social Sciences Citation Index, and Elsevier's Engineering Index.
China Takes Aim at Rampant Antibiotic Resistance
The Chinese government is leading a crusade to warn its people against the perils of frivolous antibiotic consumption in hopes of warding off calamitous outbreaks of drug-resistant strains. The Chinese government is leading a crusade to warn its people against the perils of frivolous antibiotic consumption. The campaign culminated last week in a Health Ministry directive laying out stricter regulations for prescription drugs. Bacteria that cannot be stopped by common drugs are proliferating around the world. But a health care system that encourages doctors to churn out prescriptions, intensive marketing by pharmaceutical companies, and heavy use of antibiotics in animal husbandry and fisheries make China a special case. China's health ministry hopes to ward off calamitous outbreaks of drug-resistant strains.
Concerns about ties to China prompt firings
MD Anderson's moves stoke fear of ethnic profiling among Asian American scientists. The MD Anderson Cancer Center in Houston, Texas, has moved to oust three senior researchers after the U.S. National Institutes of Health (NIH) informed it that the scientists had committed potentially \"serious\" violations of agency rules. MD Anderson's actions are the first publicly known dismissals of researchers in response to a sweeping effort by NIH to address U.S. government fears that foreign nations, particularly China, are taking inappropriate advantage of federally funded biomedical research. Science has confirmed that three of the departed researchers are ethnically Chinese. Among cancer center faculty and activists, the events are fueling concerns that government agencies and MD Anderson are unfairly targeting scientists of Chinese descent.