AstragalosideⅣimproves melanocyte differentiation from mouse bone marrow mesenchymal stem cells

Vitiligo results in an autoimmune disorder destructing skin pigment cells,melanocytes(Mcs).This study aimed to investigate whether Astragaloside IV(AIV)could efficiently induce differentiation of bone marrow mesenchymal stem cells(BMMSCs)into Mcs.BMMSCs were induced and differentiated into Mcs with 0.1,0.2,and 0.4 mg/L AIV during 150-day.Morphologic changes of differentiated cells were observed.Levels of some melanocytic specific genes(TRP-1,TRP-2,MART-1,Mitf)were measured with quantitative polymerase chain reaction(qPCR)at 90,120,and 150 days of induction.After 90-day induction,the differentiated cells with 0.4 mg/L AIV demonstrated the typical morphology of Mcs,positive 3,4 dihydroxyphenylalanine staining,and positive staining of TRP-1,TRP-2,MART-1,and Mitf.After 90-and 120-days’induction with 0.4 mg/L AIV,TRP-1 expression was significantly elevated(p<0.01),and TRP-2 expression was significantly increased in 0.4 mg/L AIV-treated group compared to negative control(p<0.01),0.1 mg/L(p<0.01),and 0.2 mg/L(p<0.01)AIV-treated groups.Moreover,MART-1 expression was significantly up-regulated in 0.4 mg/L AIV-treated group compared to negative control,but without difference compared to 0.1 mg/L(p>0.05)and 0.2 mg/L(p>0.05)AIV-treated groups.During 90 to 150-day induction,there were no significant differences for Mitf levels between AIV-treated groups and negative control(p>0.05).In conclusion,90-day induction with 0.4 mg/L AIV up-regulated TRP-1,TRP-2,and MART-1 expression,indicating that AIV can efficiently induce Mcs differentiation from BMMSCs.These results provide experimental and theoretic evidence for AIV application in clinical vitiligo repigmentation treatment.

3D scene graph prediction from point clouds

Background In this study,we propose a novel 3D scene graph prediction approach for scene understanding from point clouds.Methods It can automatically organize the entities of a scene in a graph,where objects are nodes and their relationships are modeled as edges.More specifically,we employ the DGCNN to capture the features of objects and their relationships in the scene.A Graph Attention Network(GAT)is introduced to exploit latent features obtained from the initial estimation to further refine the object arrangement in the graph structure.A one loss function modified from cross entropy with a variable weight is proposed to solve the multi-category problem in the prediction of object and predicate.Results Experiments reveal that the proposed approach performs favorably against the state-of-the-art methods in terms of predicate classification and relationship prediction and achieves comparable performance on object classification prediction.Conclusions The 3D scene graph prediction approach can form an abstract description of the scene space from point clouds.

α,β-不饱和硝酮的合成及其应用的研究进展

在有机合成化学中,硝酮作为有机合成中重要的1,3-偶极子,由于其具有稳定性好、易合成和反应活性高等优点,能够参与各种有机合成反应,如氧转移反应、环加成反应、重排反应以及C—H键活化等,可以用于合成各种各样的杂环化合物,是进一步构建复杂分子的重要有机砌块.近年来,α,β-不饱和硝酮由于其α,β-不饱和键具有较强的化学转化能力,可以参与各种新型的化学转化合成结构新颖的杂环化合物,从而引起了合成化学家的广泛关注.综述了近十年来α,β-不饱和硝酮合成的新策略,及其应用于构建各类骨架新颖的含氮杂环化合物,包括氧转移反应、与亲核试剂或自由基的加成反应以及各种环加成反应.

Synthesis of Single-Crystalline Anatase TiO_2 Nanorods With High-Performance Dye-Sensitized Solar Cells

Single-crystalline anatase TiO2nanorods have been prepared by solvothermal method using tetrabutylammonium hydroxide（TBAH） as a morphology controlling agent.The obtained TiO2nanorods are dominated by a large percentage of {010} facets.The power conversion efficiency of dye-sensitized solar cell（DSSC） based on anatase TiO2nanorods（8.66%） exhibits a significant improvement（35%） compared to that of P25 TiO2（5.66%）.The high performance of the anatase TiO2nanorods solar cell is ascribed to their large percent of exposed {010} facets as well as balancing their surface areas and sizes.

Robust QKD-based private database queries based on alternative sequences of single-qubit measurements

Quantum channel noise may cause the user to obtain a wrong answer and thus misunderstand the database holder for existing QKD-based quantum private query(QPQ) protocols. In addition, an outside attacker may conceal his attack by exploiting the channel noise. We propose a new, robust QPQ protocol based on four-qubit decoherence-free(DF) states. In contrast to existing QPQ protocols against channel noise, only an alternative fixed sequence of single-qubit measurements is needed by the user(Alice) to measure the received DF states. This property makes it easy to implement the proposed protocol by exploiting current technologies. Moreover, to retain the advantage of flexible database queries, we reconstruct Alice's measurement operators so that Alice needs only conditioned sequences of single-qubit measurements.

Improving the efficiency of quantum hash function by dense coding of coin operators in discrete-time quantum walk

Li et al. first proposed a quantum hash function(QHF) in a quantum-walk architecture. In their scheme, two two-particle interactions, i.e., I interaction and π-phase interaction are introduced and the choice of I or π-phase interactions at each iteration depends on a message bit. In this paper, we propose an efficient QHF by dense coding of coin operators in discrete-time quantum walk. Compared with existing QHFs, our protocol has the following advantages: the efficiency of the QHF can be doubled and even more; only one particle is enough and two-particle interactions are unnecessary so that quantum resources are saved. It is a clue to apply the dense coding technique to quantum cryptographic protocols, especially to the applications with restricted quantum resources.