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Children move their hands to explore, learn and communicate about hands-on tasks. Their hand movements seem to be "learning" ahead of speech. Children shape their hand movements in accordance with spatial and temporal task properties, such as when they feel an object or simulate its movements. Their speech does not directly correspond to these spatial and temporal task properties, however. We aimed to understand whether and how hand movements' are leading cognitive development due to their ability to correspond to spatiotemporal task properties, while speech is unable to do so. We explored whether hand movements' and speech's variability changed with a change in spatiotemporal task properties, using two variability measures Diversity indicates adaptation, while Complexity indicates flexibility to adapt. In two experiments, we asked children (4-7 years) to predict and explain about balance scale problems, whereby we either manipulated the length of the balance scale or the mass of the weights after half of the trials. In three out of four conditions, we found a change in Complexity for both hand movements and speech between first and second half of the task. In one of these conditions, we found a relation between the differences in Complexity and Diversity of hand movements and speech. Changes in spatiotemporal task properties thus often influenced both hand movements' and speech's flexibility, but there seem to be differences in how they did so. We provided many directions for future research, to further unravel the relations between hand movements, speech, task properties, variability, and cognitive development.Engineered culture substrates have proven invaluable for investigating the role of cell and extracellular matrix geometry in governing cell behavior. While the mechanisms relating geometry to phenotype are complex, it is clear that the actin cytoskeleton plays a key role in integrating geometric inputs and transducing these cues into intracellular signals that drive downstream biology. Here, we review recent progress in elucidating the role of the cell and matrix geometry in regulating actin cytoskeletal architecture and mechanics. We address new developments in traditional two-dimensional culture paradigms and discuss efforts to extend these advances to three-dimensional systems, ranging from nanotextured surfaces to microtopographical systems (e.g. channels) to fully three-dimensional matrices.Ecological civilization construction is an essential means of achieve sustainable development in China. It promotes not only the decoupling of environmental degradation from economic development, but additionally the coupling of positive ecological development with economic development. Presently, most of the research on ecological civilization focuses on its indices and evaluation methods. #link# However, there exist G418 nmr as the use of incomplete scientific indicators, and insufficient practice caused by inadequate sample size. In this study, we first take the evaluation framework for ecological civilization pilot areas combined with academic research to construct a comprehensive framework and indicator system. Second, we calculate the Coupling Coordination Degree (CCD) for each of the pilot areas based on the entropy weight and identify typical industries that promote the coupling of ecology and economy. Third, we use the Relative Development Coefficient (RDC) to measure the development of ecology and economy between 2014 and 2019, and study the different kinds of development models for cities. Results of the study found that the regional economy is highly positive correlated with CCD, indicating a mutually reinforcing relationship between economic development and ecological development. Further, the RDC reveals that the level of urban ecological development is relatively higher at the stage of decoupling and coordination with economic system. Finally, strategic emerging industries are a common element in pilot areas with a high level of ecological development, as they offer higher economic output without the ecological degradation associated with traditional industries.Farmland abandonment is an important aspect of land cover land use (LCLU) that has both positive and negative effects on the environment. There is limited information regarding the spatial distribution of abandoned farmland in China. In this study, we 1) use a C5.0 decision tree classification based on a 250 m spatial resolution Moderate-resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) time series to develop LCLU maps for the period 2000-2017; 2) produce time series maps of the abandoned farmland during the period 2002-2017 based on LCLU maps; and 3) analyze spatial distribution, intensity, trend, frequency, and recultivation in terms of farmland abandonment. The results show that the overall accuracy of the LCLU maps ranged from 85.45% to 90.56% over the study period (2002-2017). The average national rate of farmland abandonment was 5% over the period 2002-2017, with the lowest rate in 2002 and the highest in 2015. Approximately 60% of the 34 agricultural areas in China showed an increasing trend for abandonment including some of the main grain-producing areas such as the North China Plain and the middle and lower reaches of the Yangtze River. Abandoned farmland areas with an abandonment frequency of ≤ 3 y comprised 58.24% of the total area of abandoned farmland. The first map detailing the distribution of the abandoned farmland across China was produced in this study, providing guidance for the development of a method of identifying abandoned farmland on a large spatial scale.Excess 2, 4-dinitrophenylhydrazine (2, 4-DNPH) is often applied for the derivatization of aldehyde prior to the chromatographic analysis. However, the residual 2, 4-DNPH may cause background interference and limit the enrichment efficiency of trace aldehydes. To overcome the above bottle-neck problems, improve the extraction efficiency and omit the manipulation for changing the polarity of solvent for the hydrophobic analytes separation, a new method combining magnetism-reinforced in-tube solid phase microextraction (IT-SPME) technique with non-aqueous capillary electrophoresis (NACE) was developed. The monolithic extraction cartridge was prepared in situ inside a capillary and doped with magnetic molecular imprinting polymers (mMIPs). The selective and efficient extraction of the derived analytes with simultaneous removal of the superfluous derivatization agent was achieved owing to the combined effect of molecular imprinting and magnetism reinforcement. By coupling with NACE, the highly hydrophobic effluent can be analyzed directly.

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