Search Results (3)

The extracellular stress signal transmits along the cell membrane–cytoskeleton–focal adhesions (FAs) complex, regulating the cell function through membrane tension. However, the mechanism of the complex regulating membrane tension is still unclear. This study designed polydimethylsiloxane stamps with specific shapes to change the actin filaments’ arrangement and FAs’ distribution artificially in live cells, visualized the membrane tension in real time, and introduced the concept of information entropy to describe the order degree of the actin filaments and plasma membrane tension. The results showed that the actin filaments’ arrangement and FAs’ distribution in the patterned cells were changed significantly. The hypertonic solution resulted in the plasma membrane tension of the pattern cell changing more evenly and slowly in the zone rich in cytoskeletal filaments than in the zone lacking filaments. In addition, the membrane tension changed less in the adhesive area than in the non-adhesive area when destroying the cytoskeletal microfilaments. This suggested that patterned cells accumulated more actin filaments in the zone where FAs were difficult to generate to maintain the stability of the overall membrane tension. The actin filaments act as shock absorbers to cushion the alternation in membrane tension without changing the final value of membrane tension. Full article

The spatial distribution characteristics and influencing factors of tourist attractions in China are analyzed by GIS and SPSS. The spatial distribution characteristics and main influencing factors of urban landscape tourism resources in China are deeply explored in order to provide a reference for the construction of a national park system and for the optimal allocation of tourism resources in the future. The results show the following: (1) the spatial pattern of tourism resources in China is strong in the southeast and weak in the northwest. It shows the spatial structure of a global concentrated contiguous distribution, A-level zonal distribution, and national point distribution. The distribution pattern of concentrated contiguous areas is consistent with the spatial distribution of major urban agglomerations in China. (2) There is a serious imbalance in the allocation of A-level tourist attractions in Central, Southwest, Northwest, and Northeast China. The allocation of A-level tourist attractions in East China is in an absolute dominant position, whereas that in South China and North China is at a medium level. National tourism resources show obvious characteristics of being strong in the east and weak in the west. We mainly take the provincial capital city as the core point of agglomeration, showing the obvious “administrative district” distribution characteristics. (3) The level of urban management, the scale of urban construction, the development of the real estate industry, the employment population of tertiary industry, and the level of urban economic development are all factors that have a significant correlation with the spatial distribution of urban tourism resources. Full article

At present, the accuracy of diffusion rate forecasting, at a macro-level, in the research literature, is nonexistent. This research reveals underlying macro-level trends of diffusion rate assessment using historical technological innovation diffusion data to explore the statistical characteristics of diffusion rate percent-error of the Bass and logistic model time stepped through its lifecycle. A quantitative exploratory data analysis (EDA) based approach was employed to uncover underlying macro-perspective patterns and insights on a technological innovation’s forecasted diffusion rate percent-error using the data of 42 matured U.S. consumer technological innovations. An objective of this effort is to determine the statistical characteristics (mean, median, variance, standard deviation, skewness, and kurtosis) of diffusion rate assessment using the Bass and logistic model at various points in a technological innovation’s lifecycle to reveal underlying directional and associative insights. Specifically, this effort explores the development of macro-perspective knowledge on quantifying the forecasting accuracy of a technological innovation’s diffusion rate using partial diffusion data. Developing such insights and a framework for accessing in situ (real-time) a technological innovation’s diffusion rate percent-error would benefit an organization’s decision makers in maximizing gains and minimizing losses. These insights include identifying whether the Bass and logistic models are more likely to overestimate or underestimate a technological innovation’s diffusion rate when assessed at various points in its diffusion lifecycle. Practitioners can use such information to set resource investment strategies and policies based on risk tolerance and the utility of the weighted outcomes via decision theory tools. Full article