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		题名	作者	年代	出处	被引量
	1	Hedghog singalingregulates differentiation from double-negative to doublepositive thymocyte显示文摘	Outram SV Varas A Pepiceli CV	2001	Immunity2001，13，6：	2
	2	Synthesis and characterization of biodegradable aliphatic copolyesters with poly( ethylene oxide) soft segments 显示文摘	Pepic D Zagar E Zigon M	2008	European Polymer Journal2008，44，：	1
	3	Interactions in a nonionic surfactant and chitosan mixtures 显示文摘	Pepic I Filipovic J Jalsenjak I	2008	Colloids and Surfaces A: Physicochemical and Engineering Aspects2008，327，13：	1
	4	Synthesis and characterization of biodegradable aliphatic copolyesters with poly(ethylene oxide) soft segments显示文摘	Dragana Pepic Ema Zagar Majda Zigon Andrej Krzan Matjaz Kunaver Jasna Djonlagic	2007	European Polymer Journal2007，，3：	1
	5	Interactions in a nonionic surfactant and chitosan mixtures 显示文摘	PEPIC I FILIPOVI C - GR C I C J JALSENJAK I	2008	Colloids Surf A: Physicochem Eng Aspects2008，327，：	1
	6	Micellar solutions of triblock copolymer surfactants with pilocarpine 显示文摘	Pepic I Jalsenjak N Jalsenjak I	2004	Int J Pharm2004，272，2：	1
	7	Novel Approach to Data Encryption Based on Matrix Computations显示文摘In this paper,we provide a new approach to data encryption using generalized inverses.Encryption is based on the implementation of weighted Moore–Penrose inverse A y MNenxmT over the nx8 constant matrix.The square Hermitian positive definite matrix N8x8 p is the key.The proposed solution represents a very strong key since the number of different variants of positive definite matrices of order 8 is huge.We have provided NIST(National Institute of Standards and Technology)quality assurance tests for a random generated Hermitian matrix(a total of 10 different tests and additional analysis with approximate entropy and random digression).In the additional testing of the quality of the random matrix generated,we can conclude that the results of our analysis satisfy the defined strict requirements.This proposed MP encryption method can be applied effectively in the encryption and decryption of images in multi-party communications.In the experimental part of this paper,we give a comparison of encryption methods between machine learning methods.Machine learning algorithms could be compared by achieved results of classification concentrating on classes.In a comparative analysis,we give results of classifying of advanced encryption standard(AES)algorithm and proposed encryption method based on Moore–Penrose inverse.	Rosilah Hassan Selver Pepic Muzafer Saracevic Khaleel Ahmad Milan Tasic	2021	Computers, Materials & Continua2021，，2：	0

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