在唯物辩证法看来，水果同苹果、梨、香蕉、桔子等的关系是___

“是就是是，不是就是不是，除此之外都是鬼话。”这是一种___

真象和假象的区别在于___

有的哲学家说，在大风扬起的尘土中，每一粒尘土的运动状况都是纯粹必然的。这是种___

“或然率”是指___

Economically speaking, are we better off than we were ten years ago? Twenty years ago? In their thirst for evidence on this issue, commentators seized on the recent report by the Census Bureau, which found that average household income rose by 5.2% in 2015. Unfortunately, that conclusion puts too much weight on a useful, but flawed and incomplete, statistic. Among the more significant problems with the Census’s measure are that: 1) it excludes taxes, transfers, and compensation like employer-provided health insurance; and 2) it is based on surveys rather than data. Even if precisely measured, income data exclude important determinants of economic well-being, such as the hours of work needed to earn that income. While thinking about the question, we came across a recently published article by Charles Jones and Peter Klenow, which proposes an interesting new measure of economic welfare. While by no means perfect, it is considerably more comprehensive than average income, taking into account not only growth in consumption per person but also changes in working time, life expectancy, and inequality. Moreover, it can be used to assess economic performance both across countries and over time. The Jones-Klenow method can be illustrated by a cross-country example. Suppose we want to compare the economic welfare of citizens of the U.S. and France in 2005. In 2005, as the authors observe, real consumption per person in France was only 60% as high as the U.S., making it appear that Americans were economically much better off than the French on average. However, that comparison omits other relevant factors: leisure time, life expectancy, and economic inequality. The French take longer vacations and retire earlier, so typically work fewer hours; they enjoy a higher life expectancy, presumably reflecting advantages with respect to health care, diet, lifestyle, and the like; and income and consumption are somewhat more equally distributed there than in the U.S. Because of these differences, comparing France’s consumption with the U.S.’s overstates the gap in economic welfare. Similar calculations can be used to compare the U.S. and other countries. For example, this calculation puts economic welfare in the United Kingdom at 97% of U.S. levels, but estimates Mexican well-being at 22%. The Jones-Klenow measure can also assess an economy’s performance over time. According to this measure, as of the early-to-mid-2000s, the U.S. had the highest economic welfare of any large country. Since 2007, economic welfare in the U.S. has continued to improve. However, the pace of improvement has slowed markedly. Methodologically, the lesson from the Jones-Klenow research is that economic welfare is multi-dimensional. Their approach is flexible enough that in principle other important quality-of-life changes could be incorporated—for example, decreases in total emissions of pollutants and declines in crime rates. What does the author think of the 2015 report by the Census Bureau?___

Economically speaking, are we better off than we were ten years ago? Twenty years ago? In their thirst for evidence on this issue, commentators seized on the recent report by the Census Bureau, which found that average household income rose by 5.2% in 2015. Unfortunately, that conclusion puts too much weight on a useful, but flawed and incomplete, statistic. Among the more significant problems with the Census’s measure are that: 1) it excludes taxes, transfers, and compensation like employer-provided health insurance; and 2) it is based on surveys rather than data. Even if precisely measured, income data exclude important determinants of economic well-being, such as the hours of work needed to earn that income. While thinking about the question, we came across a recently published article by Charles Jones and Peter Klenow, which proposes an interesting new measure of economic welfare. While by no means perfect, it is considerably more comprehensive than average income, taking into account not only growth in consumption per person but also changes in working time, life expectancy, and inequality. Moreover, it can be used to assess economic performance both across countries and over time. The Jones-Klenow method can be illustrated by a cross-country example. Suppose we want to compare the economic welfare of citizens of the U.S. and France in 2005. In 2005, as the authors observe, real consumption per person in France was only 60% as high as the U.S., making it appear that Americans were economically much better off than the French on average. However, that comparison omits other relevant factors: leisure time, life expectancy, and economic inequality. The French take longer vacations and retire earlier, so typically work fewer hours; they enjoy a higher life expectancy, presumably reflecting advantages with respect to health care, diet, lifestyle, and the like; and income and consumption are somewhat more equally distributed there than in the U.S. Because of these differences, comparing France’s consumption with the U.S.’s overstates the gap in economic welfare. Similar calculations can be used to compare the U.S. and other countries. For example, this calculation puts economic welfare in the United Kingdom at 97% of U.S. levels, but estimates Mexican well-being at 22%. The Jones-Klenow measure can also assess an economy’s performance over time. According to this measure, as of the early-to-mid-2000s, the U.S. had the highest economic welfare of any large country. Since 2007, economic welfare in the U.S. has continued to improve. However, the pace of improvement has slowed markedly. Methodologically, the lesson from the Jones-Klenow research is that economic welfare is multi-dimensional. Their approach is flexible enough that in principle other important quality-of-life changes could be incorporated—for example, decreases in total emissions of pollutants and declines in crime rates. What does the author say about the Jones-Klenow method?___

Economically speaking, are we better off than we were ten years ago? Twenty years ago? In their thirst for evidence on this issue, commentators seized on the recent report by the Census Bureau, which found that average household income rose by 5.2% in 2015. Unfortunately, that conclusion puts too much weight on a useful, but flawed and incomplete, statistic. Among the more significant problems with the Census’s measure are that: 1) it excludes taxes, transfers, and compensation like employer-provided health insurance; and 2) it is based on surveys rather than data. Even if precisely measured, income data exclude important determinants of economic well-being, such as the hours of work needed to earn that income. While thinking about the question, we came across a recently published article by Charles Jones and Peter Klenow, which proposes an interesting new measure of economic welfare. While by no means perfect, it is considerably more comprehensive than average income, taking into account not only growth in consumption per person but also changes in working time, life expectancy, and inequality. Moreover, it can be used to assess economic performance both across countries and over time. The Jones-Klenow method can be illustrated by a cross-country example. Suppose we want to compare the economic welfare of citizens of the U.S. and France in 2005. In 2005, as the authors observe, real consumption per person in France was only 60% as high as the U.S., making it appear that Americans were economically much better off than the French on average. However, that comparison omits other relevant factors: leisure time, life expectancy, and economic inequality. The French take longer vacations and retire earlier, so typically work fewer hours; they enjoy a higher life expectancy, presumably reflecting advantages with respect to health care, diet, lifestyle, and the like; and income and consumption are somewhat more equally distributed there than in the U.S. Because of these differences, comparing France’s consumption with the U.S.’s overstates the gap in economic welfare. Similar calculations can be used to compare the U.S. and other countries. For example, this calculation puts economic welfare in the United Kingdom at 97% of U.S. levels, but estimates Mexican well-being at 22%. The Jones-Klenow measure can also assess an economy’s performance over time. According to this measure, as of the early-to-mid-2000s, the U.S. had the highest economic welfare of any large country. Since 2007, economic welfare in the U.S. has continued to improve. However, the pace of improvement has slowed markedly. Methodologically, the lesson from the Jones-Klenow research is that economic welfare is multi-dimensional. Their approach is flexible enough that in principle other important quality-of-life changes could be incorporated—for example, decreases in total emissions of pollutants and declines in crime rates. What do Jones and Klenow think of the comparison between France and the U.S. in terms of real consumption per person?___

Economically speaking, are we better off than we were ten years ago? Twenty years ago? In their thirst for evidence on this issue, commentators seized on the recent report by the Census Bureau, which found that average household income rose by 5.2% in 2015. Unfortunately, that conclusion puts too much weight on a useful, but flawed and incomplete, statistic. Among the more significant problems with the Census’s measure are that: 1) it excludes taxes, transfers, and compensation like employer-provided health insurance; and 2) it is based on surveys rather than data. Even if precisely measured, income data exclude important determinants of economic well-being, such as the hours of work needed to earn that income. While thinking about the question, we came across a recently published article by Charles Jones and Peter Klenow, which proposes an interesting new measure of economic welfare. While by no means perfect, it is considerably more comprehensive than average income, taking into account not only growth in consumption per person but also changes in working time, life expectancy, and inequality. Moreover, it can be used to assess economic performance both across countries and over time. The Jones-Klenow method can be illustrated by a cross-country example. Suppose we want to compare the economic welfare of citizens of the U.S. and France in 2005. In 2005, as the authors observe, real consumption per person in France was only 60% as high as the U.S., making it appear that Americans were economically much better off than the French on average. However, that comparison omits other relevant factors: leisure time, life expectancy, and economic inequality. The French take longer vacations and retire earlier, so typically work fewer hours; they enjoy a higher life expectancy, presumably reflecting advantages with respect to health care, diet, lifestyle, and the like; and income and consumption are somewhat more equally distributed there than in the U.S. Because of these differences, comparing France’s consumption with the U.S.’s overstates the gap in economic welfare. Similar calculations can be used to compare the U.S. and other countries. For example, this calculation puts economic welfare in the United Kingdom at 97% of U.S. levels, but estimates Mexican well-being at 22%. The Jones-Klenow measure can also assess an economy’s performance over time. According to this measure, as of the early-to-mid-2000s, the U.S. had the highest economic welfare of any large country. Since 2007, economic welfare in the U.S. has continued to improve. However, the pace of improvement has slowed markedly. Methodologically, the lesson from the Jones-Klenow research is that economic welfare is multi-dimensional. Their approach is flexible enough that in principle other important quality-of-life changes could be incorporated—for example, decreases in total emissions of pollutants and declines in crime rates. What is an advantage of the Jones-Klenow method?___

Economically speaking, are we better off than we were ten years ago? Twenty years ago? In their thirst for evidence on this issue, commentators seized on the recent report by the Census Bureau, which found that average household income rose by 5.2% in 2015. Unfortunately, that conclusion puts too much weight on a useful, but flawed and incomplete, statistic. Among the more significant problems with the Census’s measure are that: 1) it excludes taxes, transfers, and compensation like employer-provided health insurance; and 2) it is based on surveys rather than data. Even if precisely measured, income data exclude important determinants of economic well-being, such as the hours of work needed to earn that income. While thinking about the question, we came across a recently published article by Charles Jones and Peter Klenow, which proposes an interesting new measure of economic welfare. While by no means perfect, it is considerably more comprehensive than average income, taking into account not only growth in consumption per person but also changes in working time, life expectancy, and inequality. Moreover, it can be used to assess economic performance both across countries and over time. The Jones-Klenow method can be illustrated by a cross-country example. Suppose we want to compare the economic welfare of citizens of the U.S. and France in 2005. In 2005, as the authors observe, real consumption per person in France was only 60% as high as the U.S., making it appear that Americans were economically much better off than the French on average. However, that comparison omits other relevant factors: leisure time, life expectancy, and economic inequality. The French take longer vacations and retire earlier, so typically work fewer hours; they enjoy a higher life expectancy, presumably reflecting advantages with respect to health care, diet, lifestyle, and the like; and income and consumption are somewhat more equally distributed there than in the U.S. Because of these differences, comparing France’s consumption with the U.S.’s overstates the gap in economic welfare. Similar calculations can be used to compare the U.S. and other countries. For example, this calculation puts economic welfare in the United Kingdom at 97% of U.S. levels, but estimates Mexican well-being at 22%. The Jones-Klenow measure can also assess an economy’s performance over time. According to this measure, as of the early-to-mid-2000s, the U.S. had the highest economic welfare of any large country. Since 2007, economic welfare in the U.S. has continued to improve. However, the pace of improvement has slowed markedly. Methodologically, the lesson from the Jones-Klenow research is that economic welfare is multi-dimensional. Their approach is flexible enough that in principle other important quality-of-life changes could be incorporated—for example, decreases in total emissions of pollutants and declines in crime rates. What can we infer from the passage about American people’s economic well-being?___

大学生的成才目标是___。

现代人才素质的灵魂是___。

___是人才素质的基础.

世界政治格局发展的必然趋势是___。

在全面发展的教育中德、智、体、美是缺一不可，统一存在的，其中处于主导地位的是___。

时代精神的内涵十分丰富，其中___居于核心地位。

民族精神是一个民族赖以生存和发展的精神支撑。中华民族在五千年的发展中所形成的伟大民族精神的核心是___。

下列名言反映中华民族是一个艰苦奋斗的民族的有___。

___是人才素质的基本内容

10。___是我们立党立国的根本指导思想

衡量大学生全面发展的一个重要标准是___

独立生活意识指___

___作为社会主义核心价值体系的精髓，解决的是应当具备什么样的精神状态和精神风貌的问题。

___是人才素质的综合体现.

人们对生活在其中的世界及人与世界的关系的总的看法和根本观点就是___

人生观的核心是___

人的本质属性是___

社会主义社会人生价值标准是___

回答人为什么活着___

表明人应当怎样对待生活___

判别什么样的人生才有意义___

下列人生态度中正确的是___

下列属于正确的人生目的的是___

___认为,金钱可以主宰一切.

___ 认为，社会和他人是达到个人目的的手段。

___认为，人生的全部内容就在于满足感官的需求与快乐。

马克思对于人的本质的论断确立与___

人与自然关系的实质是___

在社会交往和公共生活中公民应该遵守的道德准则是___

社会公德最基本的要求是___

以下哪个说法是错误的___

以下关于临时用地的说法，哪项是不正确的___？

已经取得建设用地批文，尚未建设的土地，现状为林地，按哪种地类调查___

基础数据库为设施农用地，由于污染问题和产业转型，现场均已拆除，尚未完全清除，有的只拆了部分建筑物体、有的硬化水泥地板未处理，这种现状可能长期维持不变，对于此类地块，按___地类认定

滩涂上实地为林地的，哪种调查是不允许的___

外业调查为推土的地块（不知道推土目的），认定成___地类

村头、田间水泥地面，农忙时为晒谷场，平时停车休息等用途，按___地类认定

坑塘（基础数据库为114），因周围树木遮盖，国家下发图斑判读为林地，地类调查如何认定___

调查内容与精度中，“建设用地和设施农用地实地面积超过200平方米的需调查上图；农用地（不含设施农用地）实地面积超过400平方米的需调查上图；其他地类实地面积超过600平方米的需调查上图”，对于山上的（远离城镇村）林地、荒草地来说，调查精度能否降低___

永久基本农田内违法农民建房图斑，如何调查___

耕地、仓储用地、宅基地及科教文卫用地等坐落在部队等权属范围内，以下那种说法是不正确的___

关于线状地物图斑化的说法，以下哪项不正确___

数据库建设应符合国家标准，关键的体现项不包括：___

土地调查数据库及专项调查数据库不包括：___

完整性及规范性检查不包括：___

所有图层的要素的标识码（BSM）不包括：___

基本农田要素中包括以下图层：___

土地调查界线不包括：___

土地调查界线中各级行政区域界线不包括___。

椭球面积计算精度与图斑节点密切相关，数据采集节点必须按照技术规程要求采集，线段长度不得大于___米。

关于县级辖区控制面积，以下描述错误的是：___

关于陆地控制面积和岛屿控制面积,以下描述错误的是：___

关于各级控制面积的关系，以下描述的是：___。

关于飞地统计，以下描述错误的是：___

采矿用地（204）统计条件是基础统计表中的城镇村标识(CZCBS)内容填写为“204”，进行地类的统计，不包括___。

矢量数据库拓扑检查不包括：___。

地类图斑层以下哪些地类编码的要素___不需要填写城镇村属性码。

地类图斑层以下哪些地类编码的要素___的城镇村属性码不可能是204。

地类图斑层以下哪些地类编码的要素___的城镇村属性码是205。

土地权属要素不包括___图层。

独立要素不包括___图层。

城镇村等用地（CZDYD）图层属性城镇村等用地类型（CZCLX）不包括___。

以下哪些线状地物不需要填写“线性图斑宽度”。___

等高线（DGX）图层属性等高线类型（DGXLX）不包括___。

以下哪个坡度级别是错误的。___

权属性质代码中不属于集体性质的为___。

耕地图斑细化类型不包括___。

工业用地图斑细化类型不包括___。

永久基本农田图斑范围内的耕地地类图斑，可能标注___

耕地种植属性不包括___