Deep learning approaches in flow visualization

With the development of deep learning(DL)techniques,many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL methods.We reviewed the approaches to deep learning technology in flow visualization and discussed the technical benefits of these approaches.We also analyzed the prospects of the development of flow visualization with the help of deep learning.

Machine learning and intelligence science： IScIDE （C）

Two closely related series of efforts have been organized in the past three years, towards a promotion of Sino-foreign- interchange on interdisciplinary areas of intelligence science, information science, and intelligent data engineering, and also in memory of thirty year anniversary of the Zhongguancun Golden Triangle ISIS Forum founded and propelled by the late senior academicians Prof. T. Chang of Tsinghua University and his collaborator, Prof. M. T. Cheng of Peking University, see the second paragraph of Ref. [1].

Machine learning and intelligence science:Sino-foreign-interchange workshop on IScIDE2010(B)

Aiming at a promotion of Sino-foreign-interchange workshop on Intelligence Science and Intelligent Data Engineering(IScIDE2010),three special issues have been scheduled in Frontiers of Electrical and Electronic Engineering in China.One is called“Emerging Themes on Information Theory and Bayesian Approach”(Vol.5,No.3,2010),which consists of nine invited papers from international well-known pioneers and Chinese senior scientists.The other two special issues are Part A and Part B of the publication of IScIDE2010,a Sino-foreign-interchange workshop on Intelligence Science and Intelligent Data Engineering held on June 3–5,2010 in Harbin.The Part A came out as Vol.6,No.1,2011 already,including 14 invited presentations by core researchers both from abroad and from Chinese major universities.

Machine learning and intelligence science:Sino-foreign interchange workshop IScIDE2010(A)

All the papers in this special issue are invited and compiled as Part A of the publication of the 2010 Sino-foreigninterchange workshop on Intelligence Science and Intelligent Data Engineering(IScIDE2010).This workshop was held on June 3-5,2010 in Harbin,and was jointly held with 2010 academician forum on Information Science&Intelligence Science(ISIS).IScIDE2010 is scheduled as the first of the annual workshops that aim at a collective venue where we can introduce core achievements of Chinese colleagues to international communities and also bring worldwide frontier researches to the Chinese ISIS community.This community is featured by a huge population of Chinese researchers and students and a rapid development in past decades,and also by a long and memorable history.

Life and information

A computer virus is merely a small piece of program in nature,and similar to that of a computer virus,an organism may be considered as an information system in nature.This paper analyzes above idea from different ways.1)DNA sequence satisfies the basic requirements of an information system;2)The controls of a man and a robot both obey the principle of cybernetics;3)How a man can have ideas but a robot has no such capacity;4)The advantages of understanding a living organism from the point of view of information systems.

Computational evidence of A-to-I RNA editing in nucleus transcriptome of Arabidopsis thaliana

RNA editing is a mechanism that can increase the complexity of the transcriptome via the insertion,deletion,or substitution of single or multiple nucleotides of mRNA sequences.In the last two decades,A-to-I RNA editing,which is catalyzed by the ADAR family enzymes,was discovered in many metazoans.C-to-U and U-to-C RNA editing were found in the mitochondria and plastids of plants.However,there is no report about RNA editing in plant nucleus transcriptome yet.Here,by integrating resources from public databases with computational methods,this paper proposes that A-to-I RNA editing mechanism may exist in the nucleus of Arabidopsis thaliana.Some characteristics of the potential A-to-I RNA editing sites in Arabidopsis thaliana are similar to those we have known in animals.

Emerging themes on information theory and Bayesian approach

Though efforts on the quantification of information started several decades earlier,the foundations of information theoretic studies were laid during the middle and late 1940’s,from two perspectives that both based on probability theory.The most famous one is a systematic theory from a perspective of information transmission over a noisy channel,namely the information theory developed by Claude E.Shannon[1].

Evidence for association of multi-exon skipping events with tumors

Alternative splicing(AS)has been shown to be frequently present in human tumors.Specifically,it has been observed in some experimental studies thatmulti-exon skipping(MES)events often appear in tumorous tissues.Prompted by this observation,we conducted a genome-wide analysis of MES events to investigate their association with tumors.The results show that MES events are more likely associated with tumors than single-exon skipping(SES)and the degree of association increases with the num-ber of skipped exons.Furthermore,MES events are found to be less conserved than their SES counterparts,which provides additional evidence for our results because dis-ease-associated AS events should be eliminated during evolution.Interestingly,these differences still existed even after comparison of MES and SES events with similar-length skipped regions.These results demonstrate that MES events may be associated with tumors and suggest that MES isoforms might be useful in cancer diagnosis.