Inwhatorderwouldyouexecutethefollowingstepstocreatearecoverycatalog?()a.Issuethecreatecata
A.a,b,c,d,e
B.b,a,d,c,e
C.b,c,d,a,e
D.b,c,d,e,a
E.b,d,c,a,e
A.a,b,c,d,e
B.b,a,d,c,e
C.b,c,d,a,e
D.b,c,d,e,a
E.b,d,c,a,e
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._______
A、to overtake a car
B、to run red lights
C、driving without license
D、to occupy emergency lanes
A、which to live
B、in which to live in
C、in which to live
D、where to live in
The following passage is a healthy prescription (处方) of how we can approach life. It is not about being famous or being wealthy or about our good looks. Truly, it is all about love. There are times when we feel as if we are separated from the rest. This feeling creates a mental prison. Therefore, we should try to work hard to internally (内在地) liberate ourselves by widening our circle of pity to accept all living things. “Open your heart to others and try to understand, When someone reaches for you, hold out to them your hand, Follow your heart, no matter what other people say, Do things that make you able to smile throughout your day, Treat other people, the way you would like them to treat you, Do what you know is right and to your heart and self stay true, Remember what life is all about, it is how you make people feel, What you do, where you go, and making dreams become real, Helping people through, in hard times of pain and strife, What you do for others, is what is important in this life. Look deeper and don’t judge people by what is on the outside, It is what is inside that counts and what people often hide, Care, help, love, be honest, and be kind, With purity and goodness within yourself, it is happiness you will find. Do all you can in the time you have, you won’t always be around, Recapture the joy of little things, that once were easily found, And if you can do all this and live a life of love, You will be helped through life, by all those up above.” I will leave you with the inspiring words of our late genius, Albert Einstein: “There are two ways to live life. One is as though nothing is a miracle(奇迹). The other is as though everything is a miracle.” 60. The passage is mainly about ______. A. living a life of love B. helping those in need C. taking back the joy of life D. separating ourselves from others 61. According to the passage, which statement is true? A. Treating others the way others treat you is right for your life. B. Making your dream become real is selfish in your life. C. Judging people by what is inside counts. D. Doing what you can makes yourself happy. 62. The underlined sentence in the last paragraph probably means _________. A. Different ways of life lead to completely different results B. Life is not always full of miracles C. There are two kinds of miracles in life D. Looking for miracles in life helps people find happiness |
A、How old are you, Madame?
B、Do you mind telling me how old you are Madame?
C、I don't mean to be rude, Madame, but I need to know how old you are.
D、No right response here.
A、political risk assessment.
B、political securitization.
C、risk conditioning
D、quantification of risk
A、infancy
B、isolation
C、exhibition
D、revolution
9-13. The table below shows changes in the numbers of residents cycling to work in different areas of the UK between 2001 and 2011. Please choose sentences in the basket to fill in the blanks to describe the table appropriately.(9.) ____________ Overall, the number of UK commuters who travelled to work by bicycle rose considerably over the 10-year period. Inner London had by far the highest number of cycling commuters in both years. In 2001, well over 43 thousand residents of inner London commuted by bicycle, (10.) ____________, an increase of 144%. By contrast, although outer London had the second highest number of cycling commuters in each year, the percentage change, at only 45%, (11.) ___________. Brighton and Hove saw the second biggest increase (109%) in the number of residents cycling to work, but Bristol was the UK’s second city in terms of total numbers of cycling commuters, with 8,108 in 2001 and 15,768 in 2011. (12.) ___________. (13.) ___________. A. and this figure rose to more than 106 thousand in 2011 B. Other 8 cities, though not so high as the previous two cities, still demonstrate much changes, with the percentage ranging from 48%-94%. C. The table compares the numbers of people who cycled to work in twelve areas of the UK in the years 2001 and 2011. D. Here is the description of the chart on the paper. E. was the lowest of the twelve areas shown in the table F. This change of preference for bicycle as a means of transportation shows people’s awareness of environmental protection, which should be encouraged by the society. 现在请填写第9题答案。(填一个大写字母即可)
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