Archive

Archive for the ‘stork’ Category

Phrase frequency analysis on fNIRS hyperscanning with Stork Big Analysis

September 29th, 2019

In the previous blog, we have used Stork’s big analysis to analyze the literature of fNIRS. At that time, Stork only analyzed the frequency of a single word (number indicates the number of occurences):

near-infrared (1945)
spectroscopy (1868)
cerebral (1850)
brain (1322)
oxygenation (801)
functional (775)
imaging (558)
prefrontal (541)
infrared (498)
cortex (469)
oxygen (467)
blood (413)
monitoring (402)
activation (391)
optical (367)
fnirs (364)
patients (364)
activity (342)

Some of the words, such as spectroscopy, brain, functional, imaging etc, are not very meaningful by itself. Maybe they are part of phrases which carry more information than a single word does.

Today, Stork Big Analysis has updated and now it can analyze frequency of phrases with 2, 3, and 4 words. Below is the result with the same keywords (fnirs OR nirs OR "near infrared") brain:

Top phrase (2 words):

cerebral oxygenation (362)
infrared spectroscopy (344)
prefrontal cortex (262)
oxygen saturation (243)
cerebral blood (218)
cerebral oxygen (201)
blood flow (184)
brain injury (128)
preterm infants (127)
cerebral hemodynamics (102)
cerebral oximetry (98)
regional cerebral (96)
tissue oxygenation (95)
brain activity (90)
working memory (85)

Top phrase (3 words):

cerebral blood flow (134)
cerebral oxygen saturation (129)
traumatic brain injury (71)
cerebral blood volume (57)
regional cerebral oxygen (53)
verbal fluency task (43)
prefrontal cortex activity (38)
cerebral tissue oxygenation (37)
tissue oxygen saturation (36)
prefrontal cortex activation (35)
magnetic resonance imaging (32)
diffuse optical tomography (31)
transcranial magnetic stimulation (30)
positron emission tomography (26)
cerebral tissue oxygen (25)
hypothermic circulatory arrest (23)
transcranial direct current (22)

Top phrase (4 words):

regional cerebral oxygen saturation (52)
cerebral tissue oxygen saturation (24)
transcranial direct current stimulation (21)
deep hypothermic circulatory arrest (15)
functional magnetic resonance imaging (15)
cerebral tissue oxygenation index (12)
repetitive transcranial magnetic stimulation (12)
attention deficit hyperactivity disorder (11)
regional cerebral blood flow (9)
cerebral oxygen saturation measured (9)
cerebral blood flow velocity (8)
severe traumatic brain injury (8)
cerebral regional oxygen saturation (7)
cerebral oxygen saturation monitoring (7)
coronary artery bypass grafting (7)
red blood cell transfusion (6)
hypoplastic left heart syndrome (6)
cerebral blood flow autoregulation (6)
mild traumatic brain injury (5)
anodal transcranial direct current (5)
resting state functional connectivity (5)
mixed venous oxygen saturation (5)

We see some meaningful phrases show up. A single word such as “blood” now has a clearer meaning (e.g. “cerebral blood flow”). We also discovered a few top phrases which we can’t find with a single word analysis, such as “verbal fluency task”. This is a popular task used in fNIRS studies but I have not realized it is that popular! “Traumatic brain injury” is another example, showing the popular application of fNIRS in diagnose this condition.

More information about Big Analysis can be found at this page. (中文版)

Author: Xu Cui Categories: brain, nirs, stork, web Tags:

fNIRS overview by Stork’s Big Analysis

August 8th, 2019

What’s the trend of fNIRS in brain research? Is the field growing or dying? Which country and which institute are the most productive? Who are the experts in the field and how can I contact them for collaboration? Which brain region(s) are mostly studied? Which disorder appears most frequently in the publications?

These are important questions to ask. However, even to a reseacher who works in the field (brain research with fNIRS), the answers may not readily available. Fortunately, Stork team’s new advanced feature “Big Analysis” makes it very easy to get the answers. As a matter a fact, it only required me to enter the keyword, and then it downloaded and analyzed about 6,500 publications and generated beautiful reports in less than 3 minutes.

Below is a screenshot of the report using keyword: (fnirs OR nirs  OR “near infrared”) brain

Stork's Big Analysis for fnirs Brain

Stork Big Analysis for fnirs Brain

Now we see, fNIRS research on the brain is growing steadily over the past 20 years, with recent growth ~10%. US, Japan, Germany and China are the top countries in this field. National Insitute of Radiological Sciences, UCL and Harvard are top institutes. The top diseases studied are Stroke, Brain Injury, Schizophrenia and Stress. NeuroImage, Adv Exp Med Biol, J Biomed Opt are top journals where the research is published. The mostly studied brain region is the frontal lobe. Some experts in the field are shown too, such as Hongjie Dai, David Boas, Allan Reiss, and Ilias Tachtsidis etc. Stork also shows the author network graph. It’s an interactive graph and it’s fun to drag things around to find out who are connected to who.

Most of the experts’ emails are available. That means when I want to contact them for collaboration, or invite them to review a paper, I don’t have to spend time in digging their emails.

The “Big Analysis” tool can be purchased through Stork website. The description can be found at here.

Author: Xu Cui Categories: brain, nirs, stork, web Tags:

Stork文献鸟显示期刊的中科院分区

September 12th, 2018

每天的新文献太多了,根本没时间读。怎么办?这时候就需要快速地甄别出重要文献。为了帮助大家做到这一点,文献鸟做了两件事情:

  1. 高亮标记了高影响因子的文献,并且文献按影响因子排列
  2. 显示中科院期刊分区信息,并用不同的颜色标识不同分区

对于Pro用户,文献鸟还允许设置过滤分区。比如如果设置最大分区是2,则只有分区为1和2的期刊文献才会被推送,其它的会被自动过滤。

中科院期刊分区的显示

Pro用户可以设置分区过滤

如果需要购买Pro,可以单击这个链接

Stork官网地址: https://www.storkapp.me/

Author: Xu Cui Categories: stork, web, writing Tags:

You can start to use Stork in 10s!

May 21st, 2018

Stork is a simple app for researchers to follow up scientific publications. It only takes me 10s to start.

https://www.storkapp.me/?ref=alivelearn

Author: Xu Cui Categories: stork, writing Tags:

How to find NIRS experts using “Find Experts” app

January 12th, 2018

If you are a newcomer in the NIRS field, you may wonder who are the experts in this field. You might know a few already - for example your boss. But who else are there and where they are?

We developed “Find Experts” app to quickly find experts based on scientific publications in any biomedical field. Let’s see who are experts in the NIRS field.

Use "Find Experts" to find experts in NIRS field

Website: Find Experts of Stork

Author: Xu Cui Categories: programming, stork Tags:

How to track new NIRS publications and grants?

October 27th, 2017

Near infrared spectroscopy (NIRS) is an increasingly popular technology in brain imaging research. Compared to fMRI, NIRS can be used for more naturalistic experiments, including face to face communication, natural body movements, sports, infants, and is well suited for real-time applications.

If we count the number of NIRS publications using keyword (NIRS OR fNIRS) AND brain, we find the number increases steadily over the past 10 years:

With this trend, it’s expected that we will reach a speed of 1 new paper every day in the year of 2018 or 2019. This is a fast field, and it’s nearly impossible for us to search (NIRS OR fNIRS) AND brain every day or even every week. For a student who does not follow literature proactively, he might know of a paper a year after its publication.

The easiest way to solve this problem is to use an app to notify us of the new publications. The one I use is called Stork . All I need to do is to enter a few keywords I am interested in, e.g.:

(NIRS OR fNIRS) AND brain

But what if I want to follow more specific fields, such as hyperscanning, or comparison with fMRI etc? We can enter the following keywords:
(NIRS OR fNIRS) AND brain AND hyperscanning
(NIRS OR fNIRS) AND brain AND fMRI
(NIRS OR fNIRS) AND brain AND "deep learning"
(NIRS OR fNIRS) AND brain AND social

What if I want to follow some scientists in the field? We may enter their names, such as:
David Boas
Allan Reiss (NIRS or fNIRS)

After we setup the keywords, Stork, like a diligent assistant, will search for us every day. If she finds something, she will send an email to us, listing the new publications. A recent example is shown below:

fmri nirs

Papers
The Temporal Muscle of the Head Can Cause Artifacts in Optical Imaging Studies with Functional Near-Infrared Spectroscopy. by Martin Schecklmann, Alexander Mann, …, Florian B Haeussinger (2017) Front Hum Neurosci (impact factor: 3.6) Free full text

nirs brain

Papers
Enhancing Performance of a Hybrid EEG-fNIRS System Using Channel Selection and Early Temporal Features. by Rihui Li, Thomas Potter, Weitian Huang, Yingchun Zhang (2017) Front Hum Neurosci (impact factor: 3.6)Free full text

Not only does Stork search scientific publications for you, she also searches NIH grant database (this is an advanced feature). That means whenever some researchers receive a grant on NIRS, you will know it. You will know what is his research direction in the next few years, how much money he received etc. This feature is mostly useful for professors and senior graduate students and postdocs.

The link of Stork is: storkapp.me and it’s very easy to use.

Stork

Stork

Author: Xu Cui Categories: nirs, stork Tags:

Stork美国国立卫生研究院(NIH)经费数据库(中英版)

July 26th, 2017

美国国立卫生研究院每年要拨款300亿美元用于生物和医学的研究。这些经费大约要资助6万个课题。如果能访问到这些数据,并且实时翻译成中文,那将是医生、教授、学生和其他科研人员宝贵的资源库。 为此,我们开发了这款美国国立卫生研究院经费数据库(中英版)。这个数据库可以使我们:

  1. 方便地了解美国生物医学最新科研动态
  2. 为自己的研究和基金申请带来灵感
  3. 在美国找到合作伙伴、合作机会
  4. 在美国找到学习、进修机会
  5. 该数据库每月更新,Stork也会把新的相关的课题用电子邮件通知我们

NIH经费数据库使用非常简单

第一步,输入关键词(支持中文关键词哦!),回车,中英文对照结果立刻呈现。

第二步,要仔细阅读某个经费,单击标题,摘要也中英文显示。

怎么才能使用呢?

NIH经费数据库(中英版)是Stork的付费高级功能。 要使用,首先要免费注册Stork账户。 请按照这个说明流程注册。 注册后就可以看到高级功能说明。 单击NIH Grant图标就可以看到付费流程。

现在就看看NIH经费数据库(中英版)会给你带来什么惊喜吧!

Stork官网地址: https://www.storkapp.me/

Author: Xu Cui Categories: programming, stork Tags:

PubMed 有中文版啦!

April 18th, 2017

PubMed是生物和医学领域必不可少的搜索引擎,每天百万名医生、教授、学生及其他科研人员等都会通过PubMed搜索自己感兴趣的科学文献、病例、综述、最新进展等。

可惜,PubMed是全英文的!!!

为了让中国的医生、科研人员、学生等能更迅速地从PubMed搜寻信息,我们Stork开发了这款 PubMed中文版。

您可以用中英文关键词搜索。中文关键词(比如“皮肤癌”)会自动被翻译成英文。搜索的结果用中英文显示,期刊根据影响因子高亮显示:

您点开一篇文献后,PubMed中文版会把摘要也翻译出来,方便您快速掌握文章内容,以节省您的宝贵时间:

您可能会问,这是机器还是人工翻译的?答案是具有深度学习能力的人工智能!

怎么访问这个网站呢?PubMed中文版的网址是 https://www.storkapp.me/pubmed/。这是Stork的高级功能,需要注册Stork账户并购买这个功能。

Author: Xu Cui Categories: deep learning, stork, writing Tags:

Stork开通自动翻译功能啦

January 17th, 2017

虽然美国读研究生的时候,一个很头疼的问题就是阅读科学文献。原因很多,但是其中一个就是文献里面有许多单词不知道意思,这就时不时地要查字典。到后来情况就逐渐变好了,但是在接触到新的领域的时候,又出现一些该领域的新词汇,又要学习这些单词。当时我想,如果有个工具可以自动把文献翻译成汉语就好了。

随着人工智能在翻译领域的进展,长句子的准确翻译变为可能。当然,与“信达雅”还是差距很大,不过通过一些例子感觉已经是达到“信”了,“达”也初步达到了。或许以后还可以“雅”。对科研人来讲,能够“信”其实就已经很好了,毕竟对英文也不是一点都不懂。

看到技术成熟,我们就给Stork(文献鸟)增添了高级功能:翻译!当Stork给我发邮件的时候,邮件里的文献已经翻译好了:

这样我就可以快速浏览文献,省不少时间。

打开某个文献,里面的摘要也翻译了:

总体感觉翻译得还不错,比普通的逐字翻译要好很多,可以作为阅读的辅助功能。

该功能是付费功能。如果感兴趣的话,可以参考下面页面的操作:

http://www.storkapp.me/translation.html

Author: Xu Cui Categories: programming, stork, web Tags:

A part-time position promoting Stork

September 2nd, 2016

Stork

Stork

We are looking for a passionate team member to join us in promoting Stork in the region of North America and Europe. Stork is research tool which notifies researchers new publications and grants based on their own keywords. It’s straightforward and easy to use.

Requirement:

  1. Major in biology related fields
  2. Minimum degree: BS
  3. Willing to learn
  4. This is a part-time job. Location does not matter. Working hours is flexible.

If you are interested, please contact us at iris@storkapp.me with your resume.

Author: Xu Cui Categories: stork Tags: