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An operational calculus for the euclidean motion group with applications in robotics and polymer science
      
We demonstrate these tools in the context of applications in robotics and polymer science.
      
A partial differential equation from polymer science is shown to be solvable using the operational properties of the Euclidean-group Fourier transform.
      
Nanotechnology is thus expected to thoroughly affect the way science addresses medicine, food, electronics and the environment.
      
A quantitative structure-retention relationships (QSRR) approach, as one of the all-important areas in modern chemical science, gives knowledge that is practical and necessary for drug design, combinatorial, and medicinal chemistries.
      
It is recognized throughout history that understanding the properties of resources and transforming these resources into products are regarded as the nucleus of science and technology.
      
Understanding the properties of information and transforming the information into products will then play a crucial role in the development of science and technology in the information age.
      
With more and more applications of glass in advanced fields of science, the demand for glass machining precision has increased greatly.
      
It is not only the foundation and means of imagination, conception, the science, and the technology of material change, but also the expression of national economy, national defense, and the support industries.
      
At the end of this paper, the development directions of mechanical manufacturing science and technology are mentioned.
      
The problem of Turing pattern formation has attracted much attention in nonlinear science as well as physics, chemistry and biology.
      
Although G was the first physical constant to be introduced and measured in the history of science, it is still the least precisely determined of all the fundamental constants of nature.
      
In this review article, we will summarize the main advances in network science investigated by the CIAE Group of Complex Network in this field.
      
Several theoretical models of network science were proposed and their topological and dynamical properties are reviewed and compared with the other models.
      
It is hoped that this review will help attract attention to the fundamental problem of clustered structures/synchronization in network science.
      
The data collected by image analysis were analyzed statistically with Statistical Package for the Social Science.
      
Unsorted database search is a very important problem in science and technology.
      
It is necessary to consider such limit behaviors when we consider the properties of infinite objects in computer science, such as infinite logic programs, the symbolic solutions of infinite polynomial equations.
      
Basic research in computer science and software engineering at SKLCS
      
The State Key Laboratory of Computer Science (SKLCS) is committed to basic research in computer science and software engineering.
      
 

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