Single Nanovesicles Tracking Reveals Their Heterogeneous Extracellular Adsorptions.

The vigorous nanomedicine offers significant possibilities for effective therapeutics of various diseases, and nanovesicles (NVs) represented by artificial liposomes and natural exosomes and cytomembranes especially show great potential. However, their complex interactions with cells, particularly the heterogeneous extracellular adsorptions, are difficult to analyze spatiotemporally due to the transient dynamics. In this study, by single NVs tracking, the extracellular NVs adsorptions are directly observed and their heterogeneous characteristics are revealed. Briefly, plenty of NVs adsorbed on HCT116 cells are tracked and classified, and it is discovered that they exhibit various diffusion properties from different extracellular regions: stable adsorptions on the rear surface and restricted adsorptions on the front protrusion. After the hydrolysis of hyaluronic acid in the extracellular matrix by hyaluronidase, the restricted adsorptions are further weakened and manifested as dissociative adsorptions, which demonstrated reduced total NVs adsorptions from a single-cell and single-particle perspective. Compared with traditional static analysis, the spatiotemporal tracking and heterogeneous results not only reveal the extracellular NVs-cell interactions but also inspire a wide variety of nanomedicine and their nano-investigations.

The latest advances in high content screening in microfluidic devices.

INTRODUCTION: High content screening (HCS) is an important tool for drug screening. However, the potential of HCS in the field of drug screening and synthetic biology is limited by traditional culture platforms that use multi-well plates, which have several disadvantages. Recently, microfluidic devices have gradually been applied in HCS, which significantly reduces experimental costs, increases assay throughput, and improves the accuracy of drug screening. AREAS COVERED: This review provides an overview of microfluidic devices for high-content screening in drug discovery platforms, including droplet, microarray, and organs-on-chip technologies. EXPERT OPINION: HCS is a promising technology increasingly adopted by the pharmaceutical industry as well as academic researchers for drug discovery and screening. In particular, microfluidic-based HCS shows unique advantages, and microfluidics technology has promoted significant advancements and broader usage and applicability of HCS in drug discovery. With the integration of stem cell, gene editing technology, and other biological technologies, microfluidics-based HCS will expand the application scope of personalized disease and drug screening models. The authors anticipate rapid developments in this field, with microfluidic-based approaches becoming increasingly important in HCS applications.

Spatial-temporal characteristics and influencing factors of county-level carbon emissions in Zhejiang Province, China.

Zhejiang Province is a "demonstration area for high-quality development and construction of common prosperity" in China. Moreover, the county is the basic unit and power source for the economic development of Zhejiang Province. Therefore, the research on the spatial-temporal characteristics and influencing factors of county-level carbon emissions is of great significance for Zhejiang Province to achieve the strategic goal of carbon peak and carbon neutrality. Based on the carbon emissions and socio-economic data of 62 counties in Zhejiang Province from 2014 to 2020, the spatial dependence and agglomeration of county-level carbon emissions are analyzed through the spatial autocorrelation test and local spatial autocorrelation test respectively. According to the spatial-temporal characteristics of county-level carbon emissions revealed by the index of Moran's I and local Moran's I, the spatial error STIRPAT model is used to study the influencing factors of county-level carbon emissions in Zhejiang Province, China. The main results are as follows: (1) The total amount of county-level carbon emissions of 62 counties fluctuates from 259.69 to 326.28 million tons and shows a growth trend. (2) Moran's I index is between 0.369 and 0.399. The county-level carbon emissions have a significant spatial correlation, and the spatial agglomeration trend is relatively stable, which is consistent with the hypothesis of the geographical polarization effect. (3) High-high agglomeration counties are concentrated in the northeast of Zhejiang Province, while low-low agglomeration counties are mainly in the southwest. (4) The relationship between county per capita GDP and carbon emissions has not been "decoupled," because when other variables remain unchanged, the county's total carbon emissions will increase by 2.866% for every 1% increase in the county's per capita GDP; the increase of the proportion of secondary industry contributes to the decline of carbon emissions, and the low-carbon effect brought by large-scale industrial development as well as scientific and technological innovation has not yet appeared. (5) The estimate of the spatial coefficient λ was 0.324, which illustrates that the carbon emission of a single county is positively affected by the carbon emission of the neighboring counties, and other socio-economic factors affecting carbon emission among counties also have a spatial correlation. Therefore, the policy of realizing regional coordinated development as well as the carbon peaking and carbon neutrality goals should not only focus on industrial layout, but also take a dynamic and comprehensive consideration from a spatial perspective.

How to achieve entrepreneurial enterprise performance in entrepreneurial scenario? - Based on the case study of China new energy passenger car company A.

Introduction: With the rapid development of China in recent decades, entrepreneurial scenarios are constantly changing, greatly promoting entrepreneurial practice. The characteristics of China's entrepreneurial scene, such as institutional differences, economic differences and cultural differences, make it unique. This research is based on a Chinese new energy vehicle start-up. Focus on how to achieve entrepreneurial enterprise performance in this unique entrepreneurial scenario. Methods: Based on the development process from 2014 to 2021, using entrepreneurial scenario and entrepreneurial performance theory, focusing on the two themes of "what to do" and "how to do", and adopting exploratory case study methods, the performance of entrepreneurial enterprises was studied. Results: The study found that in the context of Chinese entrepreneurship, cultural background has the most significant impact on the performance of entrepreneurial enterprises. The accurate prediction of institutional scenarios by entrepreneurial enterprises can improve enterprise performance, while economic scenarios have a negative impact on entrepreneurial enterprise performance. Discussion: The research shows that in the development process of entrepreneurial enterprises based on China's entrepreneurial scenario, the governance mode and strategic choice of entrepreneurial enterprises should match the scenarios at different stages. At different stages of development, entrepreneurial enterprises should flexibly adapt to entrepreneurial scenarios and adopt different strategies to reflect their advantages in entrepreneurial scenarios and improve the success rate of entrepreneurship.