Prospect of Near-Space Exploration and Scientific Experiment Carrier Platform Demand

It is an important scientific research activity in China to carry out near-space exploration and scientific experiments via aerospace carriers.Early near-space exploration projects mainly used aircraft,balloons,sounding rockets and Earth satellites to carry out space environment exploration.With the development of China’s space science and technology,microgravity science has become a frontier science that has developed rapidly in the past 20 years.With the continuous progress of national space science and technology,the demand for near-space exploration and scientific experiments is increasing year by year.In the next 2 to 3 years,many advanced science activities and the associated technologies need to conduct corresponding experimental research work.This paper mainly analyzes the significance of scientific research and the ways to realize near-space exploration at home and abroad,and analyzes the directions and innovations that can be carried out in the future.

The Stabilizing Role of Material Structure in Scientific Practice

Knowledge of the environment is essential for the survival of organisms; but those organisms have to have the capacity to stabilize such knowledge. The aim of this article is to analyze the various strategies for stabilizing human knowledge, with a special focus on its material anchors and their interactions with other stabilization means. In particular, I consider how such stabilization is reflected in scientific activity and practice, and what its repercussions are for the models of science that have dominated the philosophical landscape of the 20th century. My starting hypothesis will be that the role of material anchors in stabilizing conceptual blends is analogous to that of technology in grounding scientific knowledge. The framework I adopt with regard to conceptualization is that of Fauconnier and Turner （2002） on conceptual blends. Just as technology intervenes in scientific practice in conjunction with conceptual elements, so do material anchors, which conjoin other non-material strategies of knowledge stabilization. Endowing knowledge with a material basis may be understood firstly as an element （sometimes a key element） for representing knowledge and offering an explanation, and secondly as a way of providing a scientific hypothesis with empirical grounding. It is this second sense that connects with scientific experimentation and the use of instruments and technology.

“传感器”课程实验教学研究

文章从实验教学的基本任务和注重培养学生工程师素质的综合实践能力出发,探讨了传感器实验教学的自身特点和规律。在实验教学过程中,对传感器实验教学内容和实验方式进行了有意义的探讨尝试和改进,并提出了提高实验教学质量、改善实验教学效果的几点意见。

Zhang Heng’s Seismoscope(4):Restoration Research

In view of the important prestige of Zhang Heng’s seismoscope in world culture,scholars in different countries have performed restoration research,however,so far all restored models have only reached the drawing design and exhibition stage. In recent decades,new research achievements on historical materials,archaeology and historical seismology have been made in Chinese academic society,which lay a good foundation for the establishment of a new restored model. Not only does the new model more accord with historical materials,but it can be used to detect earthquakes for the first time. This paper will introduce the restoration in four aspects: scientific train of thought,structural restoration,formation restoration and scientific testing.

Four Decades' Development of China's Recoverable Satellites

This paper reviews the recoverable satellites China has developed over the past forty years.The main missions,technical specifications,scientific and technical experiments of these satellites,including the SJ-10 scientific experiment satellite launched on April 6,2016 are introduced.Recommendations for future technical upgrades for recoverable satellites are also proposed in the paper.

Scaling Notebooks as Re-configurable Cloud Workflows

Literate computing environments,such as the Jupyter(i.e.,Jupyter Notebooks,JupyterLab,and JupyterHub),have been widely used in scientific studies;they allow users to interactively develop scientific code,test algorithms,and describe the scientific narratives of the experiments in an integrated document.To scale up scientific analyses,many implemented Jupyter environment architectures encapsulate the whole Jupyter notebooks as reproducible units and autoscale them on dedicated remote infrastructures(e.g.,highperformance computing and cloud computing environments).The existing solutions are stl limited in many ways,e.g.,1)the workflow(or pipeline)is implicit in a notebook,and some steps can be generically used by different code and executed in parallel,but because of the tight cell structure,all steps in the Jupyter notebook have to be executed sequentially and lack of the flexibility of reusing the core code fragments,and 2)there are performance bottlenecks that need to improve the parallelism and scalability when handling extensive input data and complex computation.In this work,we focus on how to manage the workflow in a notebook seamlessly.We 1)encapsulate the reusable cells as RESTful services and containerize them as portal components,2)provide a composition tool for describing workflow logic of those reusable components,and 3)automate the execution on remote cloud infrastructure.Empirically,we validate the solution's usability via a use case from the Ecology and Earth Science domain,illustrating the processing of massive Light Detection and Ranging(LiDAR)data.The demonstration and analysis show that our method is feasible,but that it needs further improvement,especially on integrating distributed workflow scheduling,automatic deployment,and execution to develop as a mature approach.