Genes Expressing Differences in Upland Cotton Fiber Development Between 12 DPA and 16 DPA

Cotton is the major dominant natural fiber crop on the earth.Although some current cotton genetics and breeding programs had made great progresses in cotton lint yield increases and disease resistance(tolerance),fiber quality has little improvement.Global understanding genes expression

Scientists Identify Different Developmental Trajectories for Individuals with Schizotypal Traits

Schizotypy,defined as the personality organization underlying schizophrenia and other related mental disorders,is a critical construct for a broad range of scientific disciplines.Because schizotypy can be psychometrically identified in the general population,investigating schizotypy may provide a unique

Impact of Chinese Local Government-led Construction Land Supply Strategies on Urban Innovation and its Spatiotemporal Differences

This study constructs a theoretical framework to analyze the impact of local governmentled construction land supply(LGCLS)strategies on urban innovation.It uses data related to 265 cities in China from 2005 to 2019 for empirical analysis.Its conclusions are as follows.For development stage differences,the impact of LGCLS strategies on urban innovation exhibited an inverted U shape with economic growth.The inflection point occurred when the per capita GDP equaled approximately RMB23,101 in 2008.For regional diferences,the inflection point in eastern China is higher and earlier than that in central and western China;before the inflection point,the positive infuence was more obvious in the central and western regions,whereas after the inflection point,the negative influence was more obvious in the eastern region.For the eastern Yangtze River Delta urban agglomerations and the northwestern resource-based urban agglomerations with relatively high per capita GDP,the negative impact of LGCLS strategies on urban innovation occurred earlier and showed spatial agglomeration characteristics.

黄土高原地区县域经济发展的时空异质性及主要驱动力

Unbalanced economic growth is a ubiquitous phenomenon while investigating the regional development at a large spatial scale.Therefore,it is of great significance to analyze the spatio-temporal pattern of regional economic growth and the drivers to understand and facilitate the economic development of low development areas.Taking a county as a fundamental study unit,we used the county-level per capita GDP data on the Loess Plateau from 2005 to 2017,and geographic variables such as slope,elevation,and population density to analyze the spatio-temporal differences and the driving factors of the county-level economic development in the Loess Plateau by employing both conventional and advanced quantitative methods including Exploratory Spatial Data Analysis(ESDA)and the geographic detector model.Our results suggested that:(1)The selected indicators,including absolute difference,the fluctuation of relative difference and total difference of economic development on the Loess Plateau,all show steady increasing trends,respectively.(2)There are 64.5%of the counties with economic development being below the average level of the whole Loss Plateau region.The relatively high developed counties are distributed in the"A"-shaped regions in Inner Mongolia Autonomous Region,Shaanxi,and Henan provinces,however,the low development counties are mainly located in the"V"-shaped regions in Gansu and Shanxi provinces.(3)GDP,investment in fixed assets and urbanization rate are the major driving factors influencing the regional economic development,and the combined effects are far greater than that of any individual factor.