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它们的家     
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This study examined the effect of (a) high- and low-level questions and (b) reading the text before the questions asked on performance, delayed text recall, and deep text comprehension, as well as on specific text-inspection patterns. Participants were 37 undergraduate students who answered either high- or low-level questions using the software Read&Answer to read and answer questions on the computer screen. Additionally, half of the sample read first a text and then answered the questions (reading-first condition), whereas the other half answered the questions without having read the text in advance (no-reading-first condition). All participants had the text available to search for the answer. Results indicated that high-level questions facilitated deep comprehension but not immediate performance or delayed recall of text, independently of the reading condition, and that high- and low-level questions differentially affected text-inspection patterns.  相似文献   
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This article takes the concept and some of the existing applications of socialbots—software robots that operate on social networking sites and present themselves as human users—as an occasion to trace the evolution of online sociality. The argument mobilizes theories of social rationalization from Max Weber to contemporary critical theory to demonstrate that the appearance of automated profiles (socialbots) on social networking platforms can be seen as a logical step in the progressive enclosure of online social interaction in standardized, simplified, and trivialized forms, frames, and gestures. Critical questions concerning what the growth of robo-sociality may mean for individual users and the online public sphere are posed with a view to charting the directions for a needed public debate.  相似文献   
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The discovery of protein biomarkers that reflect the biological state of the body is of vital importance to disease management. Urine is an ideal source of biomarkers that provides a non-invasive approach to diagnosis, prognosis and prediction of diseases. Consequently, the study of the human urinary proteome has increased dramatically over the last 10 years, with many studies being published. This review focuses on urinary protein biomarkers that have shown potential, in initial studies, for diseases affecting the urogenital tract, specifically chronic kidney disease and prostate cancer, as well as other non-urogenital pathologies such as breast cancer, diabetes, atherosclerosis and osteoarthritis. PubMed was searched for peer-reviewed literature on the subject, published in the last 10 years. The keywords used were “urine, biomarker, protein, and/or prostate cancer/breast cancer/chronic kidney disease/diabetes/atherosclerosis/osteoarthritis”. Original studies on the subject, as well as a small number of reviews, were analysed including the strengths and weaknesses, and we summarized the performance of biomarkers that demonstrated potential. One of the biggest challenges found is that biomarkers are often shared by several pathologies so are not specific to one disease. Therefore, the trend is shifting towards implementing a panel of biomarkers, which may increase specificity. Although there have been many advances in urinary proteomics, these have not resulted in similar advancements in clinical practice due to high costs and the lack of large data sets. In order to translate these potential biomarkers to clinical practice, vigorous validation is needed, with input from industry or large collaborative studies.Key words: urine, protein, biomarker  相似文献   
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The reporting of intellectual capital (IC) in higher education institutions is of vital importance, mainly owing to the fact that knowledge is the main output and input in these institutions. Furthermore, the increasing social concern about establishing procedures of accountability and ensuring information transparency in public universities prompted us to consider the need to disclose information on their IC. In this study, we developed a questionnaire that was sent to members of the Social Councils of Spanish public universities in order to identify the intangible elements about which university stakeholders demand most information. It was also used to see which groups of universities have stakeholders who are more proactive to the disclosure of IC. Our results represent a starting point for public universities to identify the most commonly requested information about IC. Universities can then develop an IC report that fits their own characteristics and environment.  相似文献   
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