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In recent years, Corporate Social
Responsibility (CSR) has gradually become a hot topic with the public’s increasing
concern. In this study, authors briefly introduce some reviews and concepts of
CSR, and then combine the idea of Game Theory and Matrix linear equations
method to conduct an empirical analysis between enterprises with enterprises
and enterprises with government. By analysis, we find that it is very important for the development
of enterprises in these two parts: the fulfillment of social responsibility and
the supervision of government. Finally, the authors also put forward some
suggestions to the fulfillment of CSR and hope to improve the poor sense of
calculations of three geometry conformation
for tetrahydrofuran (THF, C4H8O) using density functional theory lead to the energy level sequence E(C1) < E(Cs) < E(C2v), where, both the
geometry symmetry C2v and Cs are probably a transition structure. The C1 symmetry is the equilibrium conformation, for its energy is the
lowest one and it is only possible without the negative harmonic
frequency. In C1 conformation,
the 4 of carbon atoms C and oxygen atom O constitute a curved surface or
the helix surface. The tetrahydrofuran molecule can be
as a simple prototype of deoxyribose and has been reviving a quite deal of
interest in radiation damage research. It is well known that the sugar ring
of deoxyribose is considered as a plane in most of the references. If the equilibrium conformation of THF is C1 symmetry with the helix surface, and for the same reason, the sugar ring of deoxyribose would
be also the helix surface; this probably causes the double helix of DNA.
It is hardly believed that the sugar ring
is a plane in deoxyribose.
Age of knowledge explosion requires us not only to have the ability to
get useful information which represented by data but also to find knowledge in information.
Human Genome Project achieved large amount of such biological data, and people
found clustering is a promising approach to analyze those biological data for
knowledge hidden. The researches on biological data go to in-depth gradually
and so are the clustering algorithms. This article mainly introduces current
broad-used clustering algorithms, including the main idea, improvements, key technology, advantage and disadvantage,
and the applications in biological field as well as the problems they solve. What’s
more, this article roughly introduces some database used in biological field.