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更多“Translate the following into Chinese. 1. presidential suite 2.duplex suite 3. business sui”相关的问题
A、I interest in American movie
B、I am interested about American movie
C、I have a strong passion for American movie.
D、I favorite American movie.
Translate the following English into Chinese. Automatic block system is that within automatic block district, each section is divided by color light passing signals into several consecutive subsection or block. The occupation of subsection by train is authorized by the permissive aspect of the color light passing signals. Automatic block system shortens the space interval between trains in the same direction and increases running capacity at sections. But on single track lines where trains running in both directions on the same track, the efficiency of automatic block system is not so evident.
Rearrange the order of the following paragraphs to make a coherent and effective discussion section. Discussion A. The strength of the present analysis is the use of valid and reliable psychometric measurements for data collection, especially the measurement of anxiety and depression. Furthermore, the large sample size and the recruitment from a general population in selected urban areas strengthen the analysis. Additionally, SES was available comprehensively from all participants, with only a few missing values. B. The analysis is limited, however, because of pooling information from two temporally different surveys. Socioeconomic characteristics were collected from Phase 1 and all other data were taken from Phase 2, conducted 2 years later from the same participants. SES was not resampled in Phase 2 because the data were already available and it is assumed that SES is stable over 2 years. Therefore, we do not think that hereby, the results were influenced strongly. Additionally, the QUEBEB study was not designed for the present analysis and therefore other sleep-influencing characteristics, such as noise exposure, individual physical activity, nutrition or substance abuse, were not included. Finally, mainly urban populations were selected. Therefore, the results focus on urban populations but, nevertheless, allow an interpretation of sleep quality and its dependencies in general. C. The present analysis examined the association of SES with sleep quality adjusted for a wide range of socio-demographical, physical and psychological characteristics among a sample of German adults living in urban areas. The regression analysis demonstrated that higher SES predicted good sleep quality. Other previous studies that have found higher socioeconomic factors to be associated with better sleep quality support the presented research. In addition, Soltani et al. and Mezick et al. showed associations between low socioeconomic factors and high PSQI scores (i.e. low sleep quality). D. A strong association between mental health and sleep is also reported by several studies; an association between insomnia symptoms and poor mental health was observed in a Japanese study. Another analysis showed that 77% of study participants with current depression and 45% of participants with a history of depression reported poor sleep quality on the PSQI in comparison with 15% of control subjects. This result explains the overlapping effect of sleep quality and anxiety/depression. In contrast, a study of twins and siblings reported that the correlations between sleep problems measured by the PSQI and symptoms of anxiety and depression were only moderate and that other factors took a more important role. E. The association in the present analysis persisted but attenuated after adjusting for other factors, especially for mental and health status. The adjusted OR for SES on sleep quality decreases, if named factors were included in the binary logistic regression model. The strongest confounding effect is caused by anxiety and depression as additional variables in the regression model: anxiety and depression, as well as physical diseases, are more frequent in persons with a low SES than in those with a medium or high SES. Simple and multiple regression analyses showed a partial mediating effect for anxiety and depression in the relationship between SES and sleep quality. Therefore, mental disturbances, but also health status, are important factors in explaining sleep quality. F. Regarding physical health, poor sleep efficiency increases and longer sleep latency even almost doubles the risk of mortality in healthy elders. Similarly, Furihata et al. found an association between poor sleep quality and physical health. Furthermore, with increasing comorbidities, sleep quality decreases and the presence of depression rises. G. In addition, the logistic regression identified further determinants affecting sleep. According to the literature, a lower age and the male gender were factors associated with good sleep quality. We could also show that married people and people living in more suburban areas have better sleep quality than single or widowed persons or persons living in urban areas. H. For measuring SES, the Winkler Index was chosen. The index takes into account the different school graduations of the former Federal Republic of Germany and the German Democratic Republic. It is also aimed at addressing the complexity of the training system and all relevant German occupational titles. The formation of an index is constituted by the complexity and multidimensionality of social inequality structure, which is represented inadequately by single indicators. 1._______ 2._______ 3. _______ 4._______ 5._______ 6._______ 7. _______ 8._______
Passage Two Questions 6 to 10 are based on the following passage. On Jan. 9, 2007, Steve Jobs formally announced Apple’s “revolutionary mobile phone” — a device that combined the functionality of an iPod, phone and Internet communication into a single unit, navigated by touch. It was a huge milestone in the development of smartphones, which are now owned by a majority of American adults and are increasingly common across the globe. As smartphones have multiplied, so have questions about their impact on how we live and how we work. Often the advantages of convenient, mobile technology are both obvious and taken for granted, leaving more subtle topics for concerned discussion: Are smartphones disturbing children’s sleep? Is an inability to get away from work having a negative impact on health? And what are the implications for privacy? But today, on the 10th anniversary of the iPhone, let’s take a moment to consider a less obvious advantage: the potential for smartphone technology to revolutionize behavioral science. That’s because, for the first time in human history, a large proportion of the species is in continuous contact with technology that can record key features of an individual’s behavior and environment. Researchers have already begun to use smartphones in social scientific research, either to query people regularly as they engage in their normal lives or to record activity using the device’s built-in sensors. These studies are confirming, challenging and extending what’s been found using more traditional approaches, in which people report how they behaved in real life or participate in relatively short and artificial laboratory-based tasks. Such studies are just first steps. As more data are collected and methods for analysis improve, researchers will be in a better position to identify how different experiences, behaviors and environments relate to each other and evolve over time, with the potential to improve people’s productivity and wellbeing in a variety of domains. Beyond revealing population-wide patterns, the right combination of data and analysis can also help individuals identify unique characteristics of their own behavior, including conditions that could indicate the need for some form of intervention — such as an unusual increase in behaviors that signal a period of depression. Smartphone-based data collection comes at an appropriate time in the evolution of psychological science. Today, the field is in transition, moving away from a focus on laboratory studies with undergraduate participants towards more complex, real-world situations studied with more diverse groups of people. Smartphones offer new tools for achieving these ambitions, providing rich data about everyday behaviors in a variety of contexts. So here’s another way in which smartphones might transform the way we live and work: by offering insights into human psychology and behavior and, thus, supporting smarter social science. 10. What do we learn about current psychological studies?
A、They are going through a period of painful transition.
B、They are increasingly focused on real-life situations.
C、They are conducted in a more rigorous manner.
D、They are mainly targeted towards undergraduates.
A、Compilation fails
B、hi hi hi
C、hi hi, followed by an exception
D、hi, followed by an exception
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