i) When diagnosing type 2 diabetes, which of the following test index is not the major reference factor?
i) When diagnosing type 2 diabetes, which of the following test index is not the major reference factor?
Which of the following can be inferred from the passage A: After five years of intensive treatment, Adam has completely recovered. B: Mental retardation can result in autism. C: Parents should know some key symptoms of autism so that they can spot the disorder. D: Diagnosing autism in children is not difficult.
Which of the following can be inferred from the passage A: After five years of intensive treatment, Adam has completely recovered. B: Mental retardation can result in autism. C: Parents should know some key symptoms of autism so that they can spot the disorder. D: Diagnosing autism in children is not difficult.
Clinicians and researchers still" debate" whether excessive use of cellphones or other technology can constitute an addiction. It wasn’t included in the latest update to the DSM-5, the American Psychiatric Association's definitive guide for classifying and diagnosing mental disorders. But given the ongoing debate, "we decided to see if phantom buzzes and rings could shed some light on the issue." What can we know from the quatation mark parts?
Clinicians and researchers still" debate" whether excessive use of cellphones or other technology can constitute an addiction. It wasn’t included in the latest update to the DSM-5, the American Psychiatric Association's definitive guide for classifying and diagnosing mental disorders. But given the ongoing debate, "we decided to see if phantom buzzes and rings could shed some light on the issue." What can we know from the quatation mark parts?
请选出以下哪项文献为专利文献?( ) A: GB/T 16133-2014, 儿童青少年脊柱弯曲异常的筛查[S]. B: 贺新宁. 脊柱侧弯钉棒矫正支架系统[P]. 湖南:CN206896389U,2018-01-19. C: KHRAMTSOV PETR IVANOVICH. DEVICE AND METHOD OF DIAGNOSING SCOLIOTIC DEFORMATIONS OF SPINE IN CHILDREN AND TEENAGERS[P]. :RU2483669,2013-06-10. D: BS 5473-1977, Specification for spinal and abdominal fabric supports[S].
请选出以下哪项文献为专利文献?( ) A: GB/T 16133-2014, 儿童青少年脊柱弯曲异常的筛查[S]. B: 贺新宁. 脊柱侧弯钉棒矫正支架系统[P]. 湖南:CN206896389U,2018-01-19. C: KHRAMTSOV PETR IVANOVICH. DEVICE AND METHOD OF DIAGNOSING SCOLIOTIC DEFORMATIONS OF SPINE IN CHILDREN AND TEENAGERS[P]. :RU2483669,2013-06-10. D: BS 5473-1977, Specification for spinal and abdominal fabric supports[S].
You may know the feeling. It’s the late afternoon, and you still haven’t left the house. You’ve spent several hours on your phone, scrolling through your Facebook news feed, refreshing Twitter and watching Youtube videos. A smartphone might feel like it’s keeping you connected but it can also be a way of secluding yourself. Data from a recent study conducted by researchers at Northwestern University’s Feinberg School of Medicine found that the scenario described above—high volume of phone use and a static geographic location—could be linked to depression. The study published in The Journal of Medical Internet Research, also found that depressed people, on average, spend more time on the phone than non-depressed people. “People are likely, when on their phones, to avoid thinking about things that are troubling painful feelings or difficult relationships,” said David Mohr, one of the study’s senior authors and a professor of behavioral psychology at Northwestern, in a statement. “It’s an avoidance behavior we see in depression.” Mohr also pointed out that depressed people tend to withdraw emotionally and avoid going out—behaviors that are arguably facilitated by the constant entertainment stream available on smartphones. The study’s participants consisted of a mix of people with and without prior depression. They completed a questionnaire describing their symptoms before agreeing to have their phone use monitored for two weeks. Using GPS, the researchers tracked their location and the amount of time they spent on the phone. They were then able to identify which participants were depressed using the aggregated phone data, with 87 percent accuracy. Sohrob Saeb, a research fellow at Northwestern, said in the release that phones could be more reliable for diagnosing depression than traditional methods. In standard industry practice, patients are often asked to describe their symptoms by indicating how sad they are on a scale of 1 to 10. According to Saeb, the release reported, these responses can be rote and unreliable. In contrast, the study found, a smartphone can unobtrusively (不引人注目地) and accurately measure a patient’s daily activity, providing data that could trigger a health care provider to recognize the need for an intervention. What can be learned from the study conducted by researchers at Northwestern University?
You may know the feeling. It’s the late afternoon, and you still haven’t left the house. You’ve spent several hours on your phone, scrolling through your Facebook news feed, refreshing Twitter and watching Youtube videos. A smartphone might feel like it’s keeping you connected but it can also be a way of secluding yourself. Data from a recent study conducted by researchers at Northwestern University’s Feinberg School of Medicine found that the scenario described above—high volume of phone use and a static geographic location—could be linked to depression. The study published in The Journal of Medical Internet Research, also found that depressed people, on average, spend more time on the phone than non-depressed people. “People are likely, when on their phones, to avoid thinking about things that are troubling painful feelings or difficult relationships,” said David Mohr, one of the study’s senior authors and a professor of behavioral psychology at Northwestern, in a statement. “It’s an avoidance behavior we see in depression.” Mohr also pointed out that depressed people tend to withdraw emotionally and avoid going out—behaviors that are arguably facilitated by the constant entertainment stream available on smartphones. The study’s participants consisted of a mix of people with and without prior depression. They completed a questionnaire describing their symptoms before agreeing to have their phone use monitored for two weeks. Using GPS, the researchers tracked their location and the amount of time they spent on the phone. They were then able to identify which participants were depressed using the aggregated phone data, with 87 percent accuracy. Sohrob Saeb, a research fellow at Northwestern, said in the release that phones could be more reliable for diagnosing depression than traditional methods. In standard industry practice, patients are often asked to describe their symptoms by indicating how sad they are on a scale of 1 to 10. According to Saeb, the release reported, these responses can be rote and unreliable. In contrast, the study found, a smartphone can unobtrusively (不引人注目地) and accurately measure a patient’s daily activity, providing data that could trigger a health care provider to recognize the need for an intervention. What can be learned from the study conducted by researchers at Northwestern University?