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您的检索式：作者名="Zeying Lin"
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| 1 | Reducing relapse and accelerating osteogenesis in rapid maxillary expansion using an injectable mesoporous bioactive glass/fibrin glue composite hydrogel显示文摘Rapid maxillary expansion(RME),as a common treatment for craniomaxillofacial deformity,faces the challenge of high relapse rates and unsatisfactory therapeutic effects.In this study,a standardized Sprague-Dawley(SD)rat RME model was first established with a modified expander as well as retainer design and optimized anterior maxillary expanding force of 100 g which exerted the most synchronized mobility of mid-palatal suture and incisors.Via the standardized model,the high relapse rate was proven to be attributed to insufficient osteogenesis in expanded suture,requiring long-term retainer wearing in clinical situations.To reduce the relapse rate,mesoporous bioactive glass/fibrin glue(MBG/FG)composite hydrogels were developed for an in situ minimal invasive injection that enhance osteogenesis in the expanded palate.The component of 1 wt%MBG was adopted for enhanced mechanical strength,matched degradation rate and ion dissolution,excellent in vitro biocompatibility and osteoinductivity.Effects of 1%MBG/FG composite hydrogel on osteogenesis in expanded mid-palatal sutures with/without retention were evaluated in the standardized model.The results demonstrated that injection of 1%MBG/FG composite hydrogel significantly promoted bone formation within the expanded mid-palatal suture,inhibited osteoclastogenesis and benefited the balance of bone remodeling towards osteogenesis.Combination of retainer and injectable biomaterial was demonstrated as a promising treatment to reduce relapse rate and enhance osteogenesis after RME.The model establishment and the composite hydrogel development in this article might provide new insight to other craniomaxillofacial deformity treatment and design of bone-repairing biomaterials with higher regenerative efficiency. | Hanjiang Zhao Xiangyu Wang Anting Jin Minjiao Wang Zeying Wang Xingtai Huang Jiewen Dai Xudong Wang Dan Lin Steve GF.Shen | 2022 | Bioactive Materials2022，7，12： | 2 |
| 2 | Belimumab shows promise in neuropsychiatric lupus:Another challenge to find the offender显示文摘Introduction:Agents that can be used for the treatment of neuropsychiatric lupus(NPSLE)are lacking in the therapeutic armamentarium.Belimumab is a monoclonal antibody targeting the B-cell activating factor(BAFF)and is approved by the US Food and Drug Administration as an additional treatment for systemic lupus erythematosus patients with persistent disease activity and lupus nephritis(LN);however,severe active central nervous system manifestations were excluded.Case Report:We report on a treatment-naïve LN patient with refractory NPSLE complicated with progressive posterior reversible encephalopathy syndrome(PRES)who was successfully treated via the combination of mycophenolate and belimumab,resulting in reversal of persistent headache and neuroradiologic manifestations.Conclusion:Research on this topic could be relevant for identifying a possible correlation between BAFF and psychiatric NPSLE manifestations. | Shuilian Yu Zhongjun Hou Zhiping Liu Zeying Lin Ling Zhong Qilin Yang Wenhui Huang | 2023 | Rheumatology & Autoimmunity2023，3，2： | 0 |
| 3 | On Visualization Analysis of Stock Data显示文摘Big data technology is changing with each passing day,generating massive amounts of data every day.These data have large capacity,many types,fast growth,and valuable features.The same is true for the stock investment market.The growth of the amount of stock data generated every day is difficult to predict.The price trend in the stock market is uncertain,and the valuable information hidden in the stock data is difficult to detect.For example,the price trend of stocks,profit trends,how to make a reasonable speculation on the price trend of stocks and profit trends is a major problem that needs to be solved at this stage.This article uses the Python language to visually analyze,calculate,and predict each stock.Realize the integration and calculation of stock data to help people find out the valuable information hidden in stocks.The method proposed in this paper has been tested and proved to be feasible.It can reasonably extract,analyze and calculate the stock data,and predict the stock price trend to a certain extent. | Yue Cai Zeying Song Guang Sun Jing Wang Ziyi Guo Yi Zuo Xiaoping Fan Jianjun Zhang Lin Lang | 2019 | Journal on Big Data2019，1，3： | 0 |
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