chronic | 易学教程

L275 Climate Change Is Having a Major Impact on Global Health

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Climate Change Is Having a Major Impact on Global Health A devastating heat wave swept across Europe in 2003, killing tens of thousands of people, scientists estimate. Many were elderly, with limited mobility, and some already suffered from chronic diseases. But climate change is making such extreme weather more common—and the effects will not be limited to the old and sick. Warming temperatures do not only threaten lives directly. They also cause billions of hours of lost labor, enhance conditions for the spread of infectious diseases and reduce crop yields, according to a recent report. The

3D打印神经电极有助于将大脑连接到电脑

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点击上面"脑机接口社区"关注我们更多技术干货第一时间送达混合打印平台为了研究，启用和恢复神经肌肉系统的功能，由三个国家的高校研究人员组成的国际研究团队在《nature biomedical engineering》上发表了一项新研究，在该新研究，研究人员利用了混合打印平台的功能，将软材料和复合材料集成到适合各种解剖结构和实验模型的生物电子设备中。个性化软神经肌肉界面的混合打印技术通常仅在科幻小说中才能看到将人脑与计算机链接起来，但是现在，英国谢菲尔德大学(University of Sheffield)，俄罗斯圣彼得堡国立大学(St Petersburg State University)和德国德累斯顿工业大学(Technische Universität Dresden)的由工程师和神经科学家组成的国际研究团队利用3D打印的强大功能让该技术离现实更进一步。由三所高校研究人员组成的国际研究团队在《nature biomedical engineering》上发表了一项新研究，在该新研究，研究团队开发了一个原型神经植入物可以用于开发治疗神经系统的问题。这种神经植入物已被用于刺激脊髓损伤的动物模型的脊髓，现在可被用于为瘫痪的人类患者开发新的治疗方法。这项研究表明，该技术也适用于大脑、脊髓、周围神经和肌肉的表面，从而为其他神经系统状况展现了可能性。

Chronic (Ruby NLP date/time parser) for python?

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问题 Does anyone know of a library like chronic but for python? Thanks! 回答1: Have you tried parsedatetime? 回答2: You can try Stanford NLP's SUTime. Related Python bindings are here: https://github.com/FraBle/python-sutime Make sure that all the Java dependencies are installed. 回答3: I was talking to Stephen Russett at chronic. I came up with a Python example after he suggested tokenization. Here is the Python example. You run the output into chronic. import nltk import MySQLdb import time import

How to set timezone in ActiveSupport's TimeZone class

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问题 I am trying to parse text into a date using chronic in ruby. However, I keep running into an error while trying to parse the string. Error: NoMethodError - undefined method 'zone=' for Time:Class: Here is the code: require 'rubygems' require 'sinatra' require 'chronic' require 'date' require 'time' require 'active_support' require 'cgi' require 'json' module TimeAPI ZoneOffset = { 'A' => +1, 'ADT' => -3, 'AKDT' => -8, 'AKST' => -9, 'AST' => -4, 'B' => +2, 'BST' => +1, 'C' => +3, 'CDT' => -5,

does chronic have any options of date format it parses? (ruby)

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问题 I need to tell chronic that the format of date is day-month-year is that possible? The data I pass to chronic could also be words today/yesterday/2 days ago. Currently chronic gives me 2 Dec 2010 instead of 12 Feb 2010 from 12-02-2010 The only solution I can think of is to swap day and month before passing the string to chronic. require 'chronic' puts "12-02-2010 = #{Chronic.parse('12-02-2010')}" #should be 12 Feb 2010 puts "yesteday = #{Chronic.parse('yesterday')}" #working ok puts "Today =

does chronic have any options of date format it parses? (ruby)

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I need to tell chronic that the format of date is day-month-year is that possible? The data I pass to chronic could also be words today/yesterday/2 days ago. Currently chronic gives me 2 Dec 2010 instead of 12 Feb 2010 from 12-02-2010 The only solution I can think of is to swap day and month before passing the string to chronic. require 'chronic' puts "12-02-2010 = #{Chronic.parse('12-02-2010')}" #should be 12 Feb 2010 puts "yesteday = #{Chronic.parse('yesterday')}" #working ok puts "Today = #{Chronic.parse('today')}" #working ok I've found this question today, 20 months after it has been

Chronic (Ruby NLP date/time parser) for python?

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Does anyone know of a library like chronic but for python? Thanks! Have you tried parsedatetime ? You can try Stanford NLP's SUTime. Related Python bindings are here: https://github.com/FraBle/python-sutime Make sure that all the Java dependencies are installed. I was talking to Stephen Russett at chronic . I came up with a Python example after he suggested tokenization. Here is the Python example. You run the output into chronic. import nltk import MySQLdb import time import string import re #tokenize sentence = 'Available June 9 -- August first week' tokens = nltk.word_tokenize(sentence)