376 research outputs found

    Linear preservers and quantum information science

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    Let m,n2m,n\ge 2 be positive integers, MmM_m the set of m×mm\times m complex matrices and MnM_n the set of n×nn\times n complex matrices. Regard MmnM_{mn} as the tensor space MmMnM_m\otimes M_n. Suppose |\cdot| is the Ky Fan kk-norm with 1kmn1 \le k \le mn, or the Schatten pp-norm with 1p1 \le p \le \infty (p2p\ne 2) on MmnM_{mn}. It is shown that a linear map ϕ:MmnMmn\phi: M_{mn} \rightarrow M_{mn} satisfying AB=ϕ(AB)|A\otimes B| = |\phi(A\otimes B)| for all AMmA \in M_m and BMnB \in M_n if and only if there are unitary U,VMmnU, V \in M_{mn} such that ϕ\phi has the form ABU(φ1(A)φ2(B))VA\otimes B \mapsto U(\varphi_1(A) \otimes \varphi_2(B))V, where φi(X)\varphi_i(X) is either the identity map XXX \mapsto X or the transposition map XXtX \mapsto X^t. The results are extended to tensor space Mn1...MnmM_{n_1} \otimes ... \otimes M_{n_m} of higher level. The connection of the problem to quantum information science is mentioned.Comment: 13 page

    Physical transformations between quantum states

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    Given two sets of quantum states {A_1, ..., A_k} and {B_1, ..., B_k}, represented as sets of density matrices, necessary and sufficient conditions are obtained for the existence of a physical transformation T, represented as a trace-preserving completely positive map, such that T(A_i) = B_i for i = 1, ..., k. General completely positive maps without the trace-preserving requirement, and unital completely positive maps transforming the states are also considered

    Dommages à I' ADN induits par les électrons de basse énergie : l'analyse des produits et études des mécanismes de dommage dans des oligonucleotides courts

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    L'objectif majeur de notre groupe de recherche est de comprendre le mécanisme de dommage à l' ADN induit par les électrons de basse énergie "secondaire" provenant de radiations ionisantes et sa relation avec la radiosensibilité et la radiothérapie. Le professeur Sanche a développé un nouveau système d'irradiation d'électron de basse énergie avec lequel une relativement grande surface constituée de couches minces d' ADN peut être irradiée avec des électrons mono-énergétiques sous hyper-vide. Ceci permet l'irradiation de l' ADN ciblé et la formation d'une quantité suffisamment grande d' ADN endommagé pour effectuer des analyses chimiques (HPLC, GC/MS et LC/MS-MS) sur les produits générés et ainsi élucider le mécanisme de dommage à l' ADN par les électrons de basse énergie. Mon projet se concentre sur les systèmes simples, dans lesquels des nucléosides ( dThd), nucléotides (pT, Tp et pTp ), oligonucléotides (TT et TTT) et des oligonucléotides modifiés (TSBrUT) sont exposés à des électrons de basse énergie. Les réactions subséquentes sont étudiées par analyses chimiques des produits formés. Mes études ont révélé trois mécanismes de fragmentation dans l' ADN induits par les électrons de basse énergie : 1) le groupe phosphate terminal a une plus large section efficace dans les dommages induits par les électrons de basse énergie; 2) la capture initiale des électrons de basse énergie et le bris de lien subséquent dans l'anion intermédiaire dépend de la séquence et de l'affinité des électrons de la base; 3) à 10 eV, un électron peut induire un événement double. La présente étude fourni une base chimique de la formation de bris par la réaction des électrons de basse énergie avec l'ADN.Abstract: The major objective of our group is to understand the mechanism of DNA damage induced by secondary low-energy electrons (LEE) arising from ionizing radiation and its relationship to radiosensitization and radiotherapy. Prof. Sanche has developed a novel low-energy electron irradiation system in which a relatively large area of thin films of DNA constituents can be irradiated with mono-energetic electrons under ultra high vacuum. This permits the irradiation of target DNA and the formation of sufficient degraded material to allow for chemical analysis (HPLC, GC/MS, and LC/MS/MS) of products remaining on the target surface, so as to elucidate the mechanism of LEE-induced DNA damage. My project focuses on simple systems, in which small DNA components nucleosides (dThd), nucleotides (pT, Tp, pTp), oligonucleotides (TT and TTT) and modified oligonucleotides (T5BrUT) are exposed to low-energy electrons, and the subsequent reactions are studied by chemical analysis of the products. My studies revealed three mechanisms of LEE-induced fragmentation reactions in DNA: 1) the terminal phosphate group has a larger cross-section in LEE-induced DNA damage; 2) initial LEE capture and subsequent bond breaking within the intermediate anion depend on the sequence and electron affinity of the bases; and 3) at 10 eV, one electron might induce double events. This study provides a chemical basis for the formation of DNA strand breaks by the interaction of LEE with DNA

    Human Microbe-Disease Association Prediction With Graph Regularized Non-Negative Matrix Factorization

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    A microbe is a microscopic organism which may exists in its single-celled form or in a colony of cells. In recent years, accumulating researchers have been engaged in the field of uncovering microbe-disease associations since microbes are found to be closely related to the prevention, diagnosis, and treatment of many complex human diseases. As an effective supplement to the traditional experiment, more and more computational models based on various algorithms have been proposed for microbe-disease association prediction to improve efficiency and cost savings. In this work, we developed a novel predictive model of Graph Regularized Non-negative Matrix Factorization for Human Microbe-Disease Association prediction (GRNMFHMDA). Initially, microbe similarity and disease similarity were constructed on the basis of the symptom-based disease similarity and Gaussian interaction profile kernel similarity for microbes and diseases. Subsequently, it is worth noting that we utilized a preprocessing step in which unknown microbe-disease pairs were assigned associated likelihood scores to avoid the possible negative impact on the prediction performance. Finally, we implemented a graph regularized non-negative matrix factorization framework to identify potential associations for all diseases simultaneously. To assess the performance of our model, cross validations including global leave-one-out cross validation (LOOCV) and local LOOCV were implemented. The AUCs of 0.8715 (global LOOCV) and 0.7898 (local LOOCV) proved the reliable performance of our computational model. In addition, we carried out two types of case studies on three different human diseases to further analyze the prediction performance of GRNMFHMDA, in which most of the top 10 predicted disease-related microbes were verified by database HMDAD or experimental literatures

    On the second-order zero differential spectra of some power functions over finite fields

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    Boukerrou et al. (IACR Trans. Symmetric Cryptol. 2020(1), 331-362) introduced the notion of Feistel Boomerang Connectivity Table (FBCT), the Feistel counterpart of the Boomerang Connectivity Table (BCT), and the Feistel boomerang uniformity (which is the same as the second-order zero differential uniformity in even characteristic). FBCT is a crucial table for the analysis of the resistance of block ciphers to power attacks such as differential and boomerang attacks. It is worth noting that the coefficients of FBCT are related to the second-order zero differential spectra of functions. In this paper, by carrying out certain finer manipulations of solving specific equations over the finite field Fpn\mathbb{F}_{p^n}, we explicitly determine the second-order zero differential spectra of some power functions with low differential uniformity, and show that our considered functions also have low second-order zero differential uniformity. Our study pushes further former investigations on second-order zero differential uniformity and Feistel boomerang differential uniformity for a power function FF

    Conductivity measurement of ionic liquids confined in the nanopores of metal–organic frameworks: a case study for [BMIM][TFSI] in HKUST-1

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    Nanoporous materials like metal–organic frameworks (MOFs) attract considerable attention as porous host for electrolytes like ionic liquids (ILs). The conductivity and mobility of the ions in the pores are among the key properties and their experimental quantification is of paramount importance. Here, three different approaches for the quantification of the ion conductivity of IL@MOF via electrochemical impedance spectroscopy (EIS) are compared: the material in the form of IL-impregnated MOF powders pressed into pellets between two planar electrodes, MOF films grown on substrates with deposited electrodes loaded with IL by impregnation, and the IL-loaded MOF films where excess IL is removed. Contact-angle measurements and EIS data show that the excess IL on the outer MOF surface of the film or pellet results in apparent conductivities, larger than the intrinsic conductivity of the IL@MOF. Removing the excess IL enables the experimental quantification of the intrinsic IL@MOF conductivity
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