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        Tuning the Optical Orbital Angular Momentum of a Focused Gaussian Beam in an Optical Supperlattice under the Electro-optic Effect

        Jie Wang,Jianhong Shi,Linghao Tian,Xianfeng Chen 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.8

        In this paper, we theoretically propose a new method to generate and tune the optical orbital angular momentum. A focused Gaussian beam passing through an optical superlattice under the electro-optic effect carries orbital angular momentum (OAM). This kind of OAM arises from the curl of the polarization. By adjusting the external electric field, the beam waist radius and the crystal length, we can obtain a dramatic variation of the OAM across the output light transverse section. This invention will find applications in the area of optical manipulation.

      • KCI등재

        Jointly Recommendation Algorithm of KNN Matrix Factorization with Weights

        Hao Yaxian,Shi Jianhong 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6

        Two improved algorithms based on k Nearest Neighbor Matrix Factorization algorithm were proposed to solve the problem of predicting negative score in k-nearest neighbor matrix Factorization algorithm. First, KMF + algorithm constructs the Nearest Neighbor matrix and dissolves it to obtain the corresponding user’s factor matrix and item’s factor matrix. Secondly, the score prediction model is established by user’s factor matrix and item’s factor matrix, and the factor matrix is optimized by Matrix Factorization algorithm. Finally, the predicted score value of the target users to the target project is calculated. KMFwS algorithm is improved on the basis of KMF + algorithm, and the infl uence of KMFwS algorithm on the predicted score value through weight constraint when the nearest neighbor matrix is zero matrix. The simulation results on data sets and a real data set show that KMF + algorithm eff ectively solves the problem that the score value is negative and keeps the score value well constrained between 0 and 5. Meanwhile, KMFwS algorithm obtains more accurate score results than KMF + algorithm by avoiding the error caused by zero neighbor matrix to the score value.

      • KCI등재

        FgIlv3a is crucial in branched-chain amino acid biosynthesis, vegetative differentiation, and virulence in Fusarium graminearum

        Xin Liu,Yichen Jiang,Yinghui Zhang,Mingzheng Yu,Hongjun Jiang,Jianhong Xu,Jianrong Shi 한국미생물학회 2019 The journal of microbiology Vol.57 No.8

        Dihydroxyacid dehydratase (DHAD), encoded by ILV3, catalyses the third step in the biosynthetic pathway of branchedchain amino acids (BCAAs), which include isoleucine (Ile), leucine (Leu), and valine (Val). Enzymes involved in BCAA biosynthesis exist in bacteria, plants, and fungi but not in mammals and are therefore attractive targets for antimicrobial or herbicide development. In this study, three paralogous ILV3 genes (FgILV3A, FgILV3B, and FgILV3C) were identified in the genome of Fusarium graminearum, the causal agent of Fusarium head blight (FHB). Deletion of FgILV3A alone or combined with FgILV3B or FgILV3C indicated an important role for FgILV3A in BCAA biosynthesis. FgILV3A deletion mutants lost the ability to grow on medium lacking amino acids. Exogenous supplementation of 1 mM Ile and Val rescued the auxotrophy of ΔFgIlv3A, though 5 mM was required to recover the growth defects in ΔFgIlv3AB and ΔFgIlv3AC strains, indicating that FgIlv3b and FgIlv3c exhibit redundant but accessory roles with FgIlv3a in BCAA biosynthesis. The auxotrophy of ΔFgIlv3A resulted in pleiotropic defects in aerial hyphal growth, in conidial formation and germination, and in aurofusarin accumulation. In addition, the mutants showed reduced virulence and deoxynivalenol production. Overall, our study demonstrates that FgIlv3a is crucial for BCAA biosynthesis in F. graminearum and a candidate fungicide target for FHB management.

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        Beyond Canonical PROTAC: Biological targeted protein degradation (bioTPD)

        Huifang Wang,Runhua Zhou,Fushan Xu,Kongjun Yang,Liuhai Zheng,Pan Zhao,Guangwei Shi,Lingyun Dai,Chengchao Xu,Le Yu,Zhijie Li,Jianhong Wang,Jigang Wang 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

        Targeted protein degradation (TPD) is an emerging therapeutic strategy with the potential to modulate disease associated proteins that have previously been considered undruggable, by employing the host destructionmachinery. The exploration and discovery of cellular degradation pathways, including but not limited toproteasomes and lysosome pathways as well as their degraders, is an area of active research. Since the conceptof proteolysis-targeting chimeras (PROTACs) was introduced in 2001, the paradigm of TPD has been greatlyexpanded and moved from academia to industry for clinical translation, with small-molecule TPD being particularlyrepresented. As an indispensable part of TPD, biological TPD (bioTPD) technologies including peptide-, fusionprotein-, antibody-, nucleic acid-based bioTPD and others have also emerged and undergone significantadvancement in recent years, demonstrating unique and promising activities beyond those of conventional small molecule TPD. In this review, we provide an overview of recent advances in bioTPD technologies, summarize theircompositional features and potential applications, and briefly discuss their drawbacks. Moreover, we present somestrategies to improve the delivery efficacy of bioTPD, addressing their challenges in further clinical development.

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