| 1 | The Genome of Medicinal Plant Macleaya cordata Provides New Insights into Benzylisoquinoline Alkaloids Metabolism显示文摘在动物农业和药的抗菌素的 overuse 引起了一系列潜在的威胁到公共健康。Macleaya cordata 是从 Papaveraceae 家庭的药用的植物种,提供为抗菌剂的制造的一个安全资源为家畜喂添加剂。从 M. 的活跃成分 ? cordata 被知道包括 benzylisoquinoline 碱(偏爱) 象 sanguinarine (圣) 和 chelerythrine (CHE ) 那样的 ?,而是他们的新陈代谢的小径还得在这非模型植物被学习。在 M. 的圣和 CHE 的活跃生合成 ? cordata 被喂 13标记 C 的酷氨酸。为了增加,推进卓见,我们 de novo 定序 M 的整个染色体。cordata,第一从 Papaveraceae 家庭被定序。M.? 盖住 378 Mb 的 cordata 染色体与 43.5%being 编码 22,328 预言的编码蛋白质的基因 transposable 元素。作为基础 eudicot 的一个成员, M.? cordata 染色体缺乏 ? 发生在几乎所有 eudicots 的 paleohexaploidy 事件。从 genomics 数据, 16 的一个完全的集合 ? 新陈代谢 ? 为圣和 CHE 生合成的基因被检索,并且 14 项他们的生物化学的活动被验证。这些 genomics 和新陈代谢的数据在 M. 显示出保存 BIA 新陈代谢的小径 ? cordata 并且由庄稼改进或微生物引起的小径重建为圣和 CHE 的未来生产提供知识基础。 | Xiubin Liu Yisong Liu Peng Huang Yongshuo Ma Zhixing Qing Qi Tang Huifen Cao Pi Cheng Yajie Zheng Zejun Yuan Yuan Zhou Jinfeng Liu Zhaoshan Tang Yixiu Zhuo Yancong Zhang Linlan Yu Jialu Huang Peng Yang Qiong Peng dinbo Zhang Wenkai Jiang Zhonghua Zhang Kui Lin Dae-Kyun Ro Xiaoya Chen Xingyao Xiong Yi Shang Sanwen Huang Jianguo Zeng | 2017 | Molecular Plant2017，10，7： | 19 |
| 3 | Soft Electronics for Health Monitoring Assisted by Machine Learning显示文摘Due to the development of the novel materials,the past two decades have witnessed the rapid advances of soft electronics.The soft electronics have huge potential in the physical sign monitoring and health care.One of the important advantages of soft electronics is forming good interface with skin,which can increase the user scale and improve the signal quality.Therefore,it is easy to build the specific dataset,which is important to improve the performance of machine learning algorithm.At the same time,with the assistance of machine learning algorithm,the soft electronics have become more and more intelligent to realize real-time analysis and diagnosis.The soft electronics and machining learning algorithms complement each other very well.It is indubitable that the soft electronics will bring us to a healthier and more intelligent world in the near future.Therefore,in this review,we will give a careful introduction about the new soft material,physiological signal detected by soft devices,and the soft devices assisted by machine learning algorithm.Some soft materials will be discussed such as two-dimensional material,carbon nanotube,nanowire,nanomesh,and hydrogel.Then,soft sensors will be discussed according to the physiological signal types(pulse,respiration,human motion,intraocular pressure,phonation,etc.).After that,the soft electronics assisted by various algorithms will be reviewed,including some classical algorithms and powerful neural network algorithms.Especially,the soft device assisted by neural network will be introduced carefully.Finally,the outlook,challenge,and conclusion of soft system powered by machine learning algorithm will be discussed. | Yancong Qiao Jinan Luo Tianrui Cui Haidong Liu Hao Tang Yingfen Zeng Chang Liu Yuanfang Li Jinming Jian Jingzhi Wu He Tian Yi Yang Tian-Ling Ren Jianhua Zhou | 2023 | Nano-Micro Letters2023，15，5： | 1 |
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