水渍

文献阅读笔记 4


{ 文献阅读笔记 }

14 Geriatric muscle stem cells switch reversible quiescence into senescence

Sousa-Victor, P., Gutarra, S., García-Prat, L., Rodriguez-Ubreva, J., Ortet, L., Ruiz-Bonilla, V., … Muñoz-Cánoves, P. (2014). Geriatric muscle stem cells switch reversible quiescence into senescence. Nature. doi:10.1038/nature13013

肌肉损伤后修复机制与细胞衰老和机体衰老的关系,尤其是p16INK4a的作用。

呐,和我关系不大。

15 Designing Collective Behavior in a Termite-Inspired Robot Construction Team

Werfel, J., Petersen, K., & Nagpal, R. (2014). Designing Collective Behavior in a Termite-Inspired Robot Construction Team. Science, 343(6172), 754–758. doi:10.1126/science.1245842

利用白蚁的生产规则设计机器人分布式协作的程序。这种无中心的网络可以获得很多意想不到的效果,也可以认为它就是一个实现了的简单的机器人自动机。

16 Secreting and Sensing the Same Molecule Allows Cells to Achieve Versatile Social Behaviors

Youk, H., & Lim, W. a. (2014). Secreting and Sensing the Same Molecule Allows Cells to Achieve Versatile Social Behaviors. Science, 343(6171), 1242782–1242782. doi:10.1126/science.1242782

本文构建了一种合成的酵母,接受和发出相同的化学信号。通过内部网络的变化实现了多种“社交”行为,其实是一种统计意义上的群体行为。

17 Control Profiles of Complex Networks

Ruths, J., & Ruths, D. (2014). Control Profiles of Complex Networks. Science, 343(6177), 1373–1376. doi:10.1126/science.1242063

复杂网络的控制profile(宏观特性?)。提出了一种新的描述可控性的方法。控制理论和网络的杂交。

18 Drugging the p53 pathway: understanding the route to clinical efficacy

Hoe, K. K., Verma, C. S., & Lane, D. P. (2014). Drugging the p53 pathway: understanding the route to clinical efficacy. Nature Reviews. Drug Discovery, 13(3), 217–36. doi:10.1038/nrd4236

一篇大综述。关于p53通路治疗癌症的方法。有很多有趣的可以做的方面。果然临床才是生命科学的未来。

19 p53-Based cyclotherapy: exploiting the “guardian of the genome” to protect normal cells from cytotoxic therapy

Rao, B., Lain, S., & Thompson, a M. (2013). p53-Based cyclotherapy: exploiting the “guardian of the genome” to protect normal cells from cytotoxic therapy. British Journal of Cancer, 109(12), 2954–8. doi:10.1038/bjc.2013.702

Cyclotherapy这个词很有趣。这篇文章也颇多巧思。一些工程性、经验性的设计在解决实际问题的时候比基于复杂理论的方法更有效。所谓「匠人思维」。

20 The Parable of Google Flu: Traps in Big Data Analysis

Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014). The Parable of Google Flu: Traps in Big Data Analysis. Science, 343(6176), 1203–1205. doi:10.1126/science.1248506

批判大数据。

评论系统由Disqus提供
© 2012 CubicStone Wei | powered by jekyll and github | themed by sext iii