Stork is my best research assistant

1 min read


When I was a graduate student at Baylor College of Medicine, I found myself often in an embarrassing situation — I felt completely lost when my fellow graduate students heatedly discussed a paper in our field but I never heard of this publication at all. Later a PubMed search revealed that this paper was indeed published more than a year ago!

There was even a time when I didn’t know my own boss had a new publication. It was in part because I was in a big lab and I was not involved in that project. But still, I felt like I didn’t fulfill my duty as an up-to-date young researcher.

My problem was finally resolved several years later when we developed the Eye function in Paperbox, which is now renamed Stork. Stork is pretty easy to use. What I need to do is to simply enter all my keywords and researchers’ names and Stork takes care of everything. Stork will help me perform the search every day and send me the results. After using Stork, now I’m the first one in the lab to know that “The most renowned David Boas has a new publication” or “There’s another group using NIRS to hyperscan”. I never embarrass myself again and gain a lot of confidence.

I have more than 50 keywords. You may ask “will Stork send you 50 emails a day?” Not at all because Stork respects my inbox. It will compile all results into one email.

Stork is also smart. As a researcher, I am sometimes overwhelmed by the flood of publications and have headache in determining which ones are worth reading. Stork helps! She will mark the impact factor of each publication with the yellow color. The more yellow, the higher the impact factor. Therefore I only need to read top publications when I am busy.

If you also want to be the first one to know new publications in your field, why don’t you give Stork a try? I’m sure you’ll be delighted!

Below is one sample email Stork sent to me.

Stork Sample Email
Stork Sample Email

Below are some of the key words I’ve been using. Anyone work on NIRS and fMRI can borrow:

  1. (fumiko hoeft) AND ((university of california) OR stanford)   
  2. (jian li) AND ((phelps) OR montague OR (Peking University psychology))   
  3. baldwin Philip   
  4. brooks king-casas   
  5. cell[ta] fmri   
  6. chao liu, beijing normal university   
  7. chess stetson   
  8. David Boas   
  9. David Hong stanford   
  10. dongni yang baylor   
  11. eagleman dm [au] baylor   
  12. fmri deception   
  13. fmri resting state parent child   
  14. hanli liu, university of texas   
  15. Hosseini, S M Hadi   
  16. hyperscanning   
  17. iphone   
  18. Jack Gallant   
  19. Kendrick Kay   
  20. koniku   
  21. lumosity   
  22. montague pr [au] baylor   
  23. montague pr[au] Virginia Tech   
  24. MyConnectome   
  25. nature[ta] fmri   
  26. ning gao, tsinghua   
  27. nirs brain   
  28. nirs deception   
  29. nu zhang, washington   
  30. pearl chiu   
  31. reiss al [au] stanford   
  32. rory sayres   
  33. Russell Poldrack, stanford   
  34. saggar manish   
  35. science[ta] fmri   
  36. signe bray   
  37. smart phone brain   
  38. social nirs   
  39. stanford kesler shelli   
  40. ting ni   
  41. xianchun li, “East China Normal University”   
  42. xiaolin zhou[au] peking   
  43. xu cui AND (stanford OR baylor OR Texas)   
  44. xu q[au] harvard   
  45. yan song[au] stanford   
  46. yangming wang, peking   
  47. yufeng shen [au]   
  48. yulong li (stanford or Peking)   
  49. zen meditation   
  50. zhu chao-zhe beijing   


断断续续下围棋已经很多年了。小学的时候就开始接触,也没人教,全自学。水平业余低级水平,在OGS上是4级。下围棋纯属休闲娱乐。赢了很高兴,输了有时候气得我把鼠标都拍坏了。下围棋确实很耽误时间,一盘至少半个小时一个小时的,因此很长一段也没下了。最近和好友尚伟峰在OGS上下了几盘,我就又棋瘾上来了。今天下了三盘,录了下来,算是个记录吧。 第一盘的对手是人,水平和我一样,4级。一开始他吃了我一条龙,领先80目,后来我竟然翻盘了。中间两个人多次都出现失误,他的一块棋是死期我竟然看不见。不管怎样,快结束时把他的角杀了,他就投子认输了。视频如下(在youtube): 第二、三盘的对手是人工智能,水平比我高到天上去了。我就厚脸皮选择被让11个子。如果系统允许让18子我肯定会选择18子的。和人工智能下棋,我的策略就是忍辱负重,保证棋是活的,不能一块棋一不小心被吃。如果一条大龙被吃,就完了。我发现OGS上的人工智能下围棋有下面的特点: 东一榔头西一棒槌(频繁脱先)。你跟着他走一会儿都晕了 对中腹把握能力强。一不小心就被它围出个大肚皮 杀伤力强。如果不在意,可能一条大龙就被杀了 落子速度快,一秒钟就落一个子。这么快的落子我就不由自主也下得快,失误就多。 第二盘棋我不小心一块棋就死了,不过还好,其它地方损失不大,因此赢了。第三盘也赢了。下面是视频 (在youtube):
Xu Cui
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第十六期 fNIRS Journal Club 视频

北京时间2021年1月23日周日下午1点, 瑞典 Karolinska Institutet的潘亚峰博士为大家讲解了他们最近发布的一篇用超扫描研究教师学生关系的文章。视频如下: Youtube: Youku:
Xu Cui
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第十六期 fNIRS Journal Club 通知 2021/01/23,1pm

瑞典 Karolinska Institutet的潘亚峰博士将为大家讲解他们最近发布的一篇用超扫描研究教师学生关系的文章。热烈欢迎大家参与讨论。潘博士为了这次报告,需要一大早就起床。因此本次报告的时间比过去要稍晚一点。 时间: 北京时间2021年1月23日周六下午1点地点: https://zoom.com房间号: 815 4986 9861密码: 796475 Pan, Guyon, Borragán, Hu, Peigneux (2020) Interpersonal brain synchronization with instructor compensates for learner’s...
Xu Cui
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