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        Biomechanical Study of 3 Osteoconductive Materials Applied in Pedicle Augmentation and Revision for Osteoporotic Vertebrae: Allograft Bone Particles, Calcium Phosphate Cement, Demineralized Bone Matrix

        Chongyu Jia,Renjie Zhang,Jiaqi Wang,Bo Zhang,Huaqing Zhang,Liang Kang,Luping Zhou,Cailiang Shen 대한척추신경외과학회 2023 Neurospine Vol.20 No.4

        Objective: This study assessed biomechanical properties of pedicle screws enhanced or revised with 3 materials. We aimed to compare the efficacy of these materials in pedicle augmentation and revision. Methods: One hundred twenty human cadaveric vertebrae were utilized for in vitro testing. Vertebrae bone density was evaluated. Allograft bone particles (ABP), calcium phosphate cement (CPC), and demineralized bone matrix (DBM) were used to augment or revise pedicle screw. Post the implantation of pedicle screws, parameters such as insertional torque, pullout strength, cycles to failure and failure load were measured using specialized instruments. Results: ABP, CPC, and DBM significantly enhanced biomechanical properties of the screws. CPC augmentation showed superior properties compared to ABP or DBM. ABP-augmented screws had higher cycles to failure and failure loads than DBM-augmented screws, with no difference in pullout strength. CPC-revised screws exhibited similar strength to the original screws, while ABP-revised screws showed comparable cycles to failure and failure loads but lower pullout strength. DBM-revised screws did not match the original screws’ strength. Conclusion: ABP, CPC, and DBM effectively improve pedicle screw stability for pedicle augmentation. CPC demonstrated the highest efficacy, followed by ABP, while DBM was less effective. For pedicle revision, CPC is recommended as the primary choice, with ABP as an alternative. However, using DBM for pedicle revision is not recommended.

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        Sorption-enhanced reforming of tar: Influence of the preparation method of CO2 absorbent

        Huaqing Xie,Weidong Zhang,Xiangnan Zhao,Hao Chen,Qingbo Yu,Qin Qin 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.11

        To remove tar and produce environment-friendly H2, one of the promising routes is the sorption-enhanced steam reforming (SESR) process, in which the CO2 sorbent is a key element. We prepared the CO2 sorbents with Ca12Al14O33 as carrier with various methods. Their characterizations were examined, and the sample prepared by solgel (SG) method showed the strongest CaO and Ca12Al14O33 phases and the most excellent pore structure among all the samples. Then, a thermogravimetric experiment was conducted, and the results showed that the sample prepared by sol-gel (SG) method had the best CO2 adsorption capacity and excellent long-term cyclic stability. Finally, the sorbent was used into the steam reforming experiments of tar. Under the action of the sorbent, the reforming reaction was enhanced in-situ, with the H2 yield and concentration improved obviously, and especially, H2 concentration can reach over 98.85%.

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        An Edge-based Stochastic Proximal Gradient Algorithm for Decentralized Composite Optimization

        Ling Zhang,Yu Yan,Zheng Wang,Huaqing Li 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11

        This paper investigates decentralized composite optimization problems involving a common non-smooth regularization term over an undirected and connected network. In the same situation, there exist lots of gradientbased proximal distributed methods, but most of them are only sublinearly convergent. The proof of linear convergence for this series of algorithms is extremely difficult. To set up the problem, we presume all networked agents use the same non-smooth regularization term, which is the circumstance for most machine learning to implement based on centralized optimization. For this scenario, most existing proximal-gradient algorithms trend to ignore the cost of gradient evaluations, which results in degraded performance. To tackle this problem, we further set the local cost function to the average of a moderate amount of local cost subfunctions and develop an edge-based stochastic proximal gradient algorithm (SPG-Edge) by employing local unbiased stochastic averaging gradient method. When the non-smooth term does not exist, the proposed algorithm could be extended to some notable primal-dual domain algorithms, such as EXTRA and DIGing. Finally, we provide a simplified proof of linear convergence and conduct numerical experiments to illustrate the validity of theoretical results.

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        Genome-wide identification, evolution and expression analysis of the FtsH gene during fruit development in pear (Pyrus bretschneideri)

        Guo Zhihua,Gao Xin,Cai Huaqing,Yu Lu,Gu Chao,Zhang Shao Ling 한국식물생명공학회 2021 Plant biotechnology reports Vol.15 No.4

        Filtration temperature-sensitive H (FtsH) is an ATP-dependent protease family that plays important roles in many aspects of cellular processes and environmental adaption. However, little information is available about the FtsH genes in pear (Pyrus bretschneideri). In this study, 19 PbrFtsH genes were identified and classified into eight groups with several subgroups. The FtsH genes in pear show high sequence and structural conservation in the coding regions, and the majority of the FtsH members were located on the chromosome 3 (three members), chromosome 9 (four members), and chromosome 15 (three members). The WGD/segmenta, dispersed duplication played a major driving force in pear FtsH evolution. A Synteny analy- sis provided deep insight into the evolutionary relationships of PbrFtsH genes. The subcellular localization of the PbrFtsH genes showed them in the mitochondrion or chloroplast. Expression profiles derived from transcriptome data and RT-qPCR analysis revealed distinct expression patterns of PbrFtsH genes in different fruit developmental stages. These results provided valuable information that extends our understanding of the function, evolution and expression profile of the FtsH family during fruit development in pear, and a foundation for the further functional characterization of PbrFtsH genes, which can be applied to pear crop improvement.

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