标签中，用于设置所引网页的路径的属性是（） A: name B: src C: scrolling D: href
标签中，用于设置所引网页的路径的属性是（） A: name B: src C: scrolling D: href
How much time do you spend ________ through your phone every<br/>day?() A: rolling B: turning C: scrolling D: putting
How much time do you spend ________ through your phone every<br/>day?() A: rolling B: turning C: scrolling D: putting
Cloud scrolling pattern, which was very popular in the Spring and Autumn Period and the Warring States period, is one of the most constant languages in the development of cloud pattern.
Cloud scrolling pattern, which was very popular in the Spring and Autumn Period and the Warring States period, is one of the most constant languages in the development of cloud pattern.
Cloud scrolling pattern, which was very popular in the Spring and Autumn Period and the Warring States period, is one of the most constant languages in the development of cloud pattern. A: 正确 B: 错误
Cloud scrolling pattern, which was very popular in the Spring and Autumn Period and the Warring States period, is one of the most constant languages in the development of cloud pattern. A: 正确 B: 错误
iframe标签的scrolling属性设置为_____的时候，无论iframe中的内容是否超出了iframe的大小都不会显示滚动条 A: yes B: no C: auto
iframe标签的scrolling属性设置为_____的时候，无论iframe中的内容是否超出了iframe的大小都不会显示滚动条 A: yes B: no C: auto
在weka软件探索者界面中，利用Visualize标签页通过更改各个参数来进行数据集的可视化属性设置后，需要单击以下（ ）按钮，所有更改才会生效。 A: Fast scrolling B: Select Attribute C: Update D: SubSample
在weka软件探索者界面中，利用Visualize标签页通过更改各个参数来进行数据集的可视化属性设置后，需要单击以下（ ）按钮，所有更改才会生效。 A: Fast scrolling B: Select Attribute C: Update D: SubSample
IFrame标签的常用属性。 <iframe id="fid" src="" width="428" height="30" marginheight="0" frameborder="0" scrolling="no" vspace="0" hspace="0" marginwidth="0" ></iframe> src -- 引用链接地址 width -- 框架的__________ height -- 框架的高度 frameborder -- 定义了内容页的边框，取值为(1|0)，缺省值为__________ marginwidth -- 定义了框架中HTML文件显示的左右边界的宽度,缺省值由浏览器决定 marginheight -- 定义了框架中HTML文件显示的上下边界的宽度，缺省值由浏览器决定 scrolling -- 设置或获取框架是否可被__________。 auto＝自动调整 yes ＝有滚动条 no ＝无滚动条
IFrame标签的常用属性。 <iframe id="fid" src="" width="428" height="30" marginheight="0" frameborder="0" scrolling="no" vspace="0" hspace="0" marginwidth="0" ></iframe> src -- 引用链接地址 width -- 框架的__________ height -- 框架的高度 frameborder -- 定义了内容页的边框，取值为(1|0)，缺省值为__________ marginwidth -- 定义了框架中HTML文件显示的左右边界的宽度,缺省值由浏览器决定 marginheight -- 定义了框架中HTML文件显示的上下边界的宽度，缺省值由浏览器决定 scrolling -- 设置或获取框架是否可被__________。 auto＝自动调整 yes ＝有滚动条 no ＝无滚动条
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?