a simple infographic illustrating how the gap between the average CEO & the average worker drastically widened between 1970 & 2005.

[link: portfolio.com|thnkx Martin]

an online street map displaying the exact location of recent crimes in Oakland, including murder, robbery, burglary, vandalism, or alcohol. the map allows users to explore the crime data by location, weekly/monthly frequency or type.

"we hope to inspire local governments to use this data visualization model for the public release of many different kinds of data: tree plantings, new schools, applications for liquor licenses, & any other information that matters to people who live in neighborhoods."

[link: oakland.crimespotting.org|thnkx Tom!]

各位虾米，大家好，小虾前来汇报~~ 以前大家只能看到一篇文章的第一个推荐/收藏的人和最后一个推荐/收藏人，现在大家可以在我的频道、收藏、热文和单篇文章页面中点击票数直接查看所有推荐和收藏人，以及他们最近推荐和收藏的文章啦！！ 希望各位虾米稀饭

今天是旅行者号发射 30 週年

旅行者 2 号发射於 1977 年 8 月 20 日, 旅行者 1 号发射於 1977 年 9 月 5 日. 30 年後的今天, 它们仍然在 3 倍远於冥王星的地方向地球传送着信息.

在最初的十年里, 旅行者号陆续详细的探索了木星, 土星以及它们的卫星, 并且第一次访问了天王星和海王星. 从旅行者号返回的前所未见的图片和科学数据, 让人类首次可以了解地外大行星和它们卫星. 并且还首次发现了木星狂暴的大气现象 - 数十个风暴系统, 以及木卫一艾奥上的火山喷发现象. 旅行者号在土星的卫星附近还拍摄到完美土星环结构.

在过去的 18 年, 两架探测器进入了太阳系外层和星际空间的交界地带. 发射後的 30 年它们仍然在返回数据.

旅行者 1 号现在是距离人类最远的人造物体, 距离太阳大约 155 百亿千米 (97 亿英哩). 旅行者 2 号距离太阳的距离是 125 亿千米 (78 亿英哩). 原先的 4 年的木星土星两颗行星的探索任务由于稀有的行星排列而扩展到四颗. 在这些任务也完成後, 两架探测器的任务变成了探索太阳系外层.

2004 年 12 月, 旅行者 1 号开始穿越太阳系最後的屏障 - 太阳风鞘, 这段喧闹的区域大约距离太阳 144 亿千米 (87 亿英哩), 这段区域是太阳风遭遇到星際介質而停滯的区域.

旅行者 2 号大约在稍后也到达这一边界, 两架旅行者号探测器开始从这里迈向星际空间.

每架旅行者号飞行器携带有五架用于研究深空太阳风, 高能粒子, 磁场和无线电波的全功能科学仪器. 由于飞行器距离太阳过远, 所以它们不能使用太阳能来产生电力. 旅行者号运行只需要 300 瓦电力, 电力由三块放射性同位素溫差电池作为来源.

旅行者号的信号通过 NASA 遍及全球各地的深空网络天线传回地球. 由于两架飞行器的距离, 以光速传递的地球指令需要 12 小时才能到达旅行者 2 号, 而到达旅行者 1 号更是需要 14 小时. 每架旅行者飞行器每天大约航行 100 万英哩.

两架旅行者号上的都载有金质唱盘, 内容是来自地球的问候, 图片和声音资料. 上面还包括了如果有天飞行器被某人或某物发现後, 如何在宇宙中找到地球的资讯.

NASA 最新的外行星探索计画是新地平线号, 目前新地平线号已经成功穿越木星, 并将在 2015 年首次造访冥王星.

Posted by Bindu Reddy, Google Video Product Manager

When your friends and well-intentioned acquaintances tell you that you've made a mistake, it's good to listen. So we'd like to say thank you to everyone who wrote to let us know that we had made a mistake in the case of Google Video's Download to Own/Rent Refund Policy vs. Common Sense.

To recap: we decided to end the Google Video download to own/rent (DTO/DTR) program, and are now refocusing our Google Video engineering efforts. The week before last, we wrote to Google Video DTO/DTR program customers to let them know that videos they'd already bought would no longer be playable.

We planned to give these users a full refund or more. And because we weren't sure if we had all the correct addresses, latest credit card information, and other billing challenges, we thought offering the refund in the form of Google Checkout credits would entail fewer steps and offer a better user experience. We should have anticipated that some users would see a Checkout credit as nothing more than an extra step of a different (and annoyingly self-serving) kind. Our bad. Here's how we're hoping to fix things:

• We're giving a full refund -- as a credit card refund -- to everyone who ever bought a video. We'll need you to make sure we have your most recent credit card information, but once we know where to send the money, you'll get it.

• You can still keep the Google Checkout credit that you've received already. Think of it as an additional 'we're sorry we goofed' credit.

• We're going to continue to support playing your videos for another six months. We won't be offering the ability to buy additional videos, but what you've already downloaded will remain playable on your computer.

We take pride in moving quickly, and we think this philosophy helps to create lots of new and innovative products. But it also leads to errors that -- upon reflection and your feedback -- we need to rectify. This was one of them. We make mistakes; we do our best not to repeat them -- and we really do try to fix the ones we make. That said, the very least that our users should expect from us is that our mistakes be new and innovative, too. ;)

We appreciate your responses, and hope our actions convey just how seriously we take everyone's feedback.

阿里系的广告分销平台“阿里妈妈”8月12日悄然推出。阿里妈妈是个主要面向中小企业，为广告主和发布商提供服务的渠道平台。这个平台的目的是要让买家(广告主)和卖家(发布商)轻松找到对方，而阿里妈妈自身将成为这种网络广告交易的平台。目前已经覆盖了诸如房地产、汽车、博客等多个广告类目，允许注册用户进行广告位的交易。

阿里妈妈的广告提供文字链接和图片广告这两种广告形式，按时长付费和按点击付费的两种付费方式。从展现形式上比传统的百度联盟，Google ADsense要灵活一些。但是就目前来看其无论是广告主还是发布商都还太少，不成气候，积聚人气还是要务。当然仅从阿里系本身的广告投放需求来看，B2B/B2C的那些商户也是颇需要这个玩意儿，即使单为淘宝的商户投放广告其实这个广告投放联盟平台都是蛮值得的。


由此淘宝、支付宝、阿里巴巴、阿里妈妈组成电子商务产业链条已经比较完整。这些商户们的钱转来转去都没有抛出阿里的钱包！这张图比较准确的梳理了其中的关系，

JpGraph is a Object-Oriented Graph creating library for PHP >= 4.3.1 The library is completely written in PHP and ready to be used in any PHP scripts (both CGI/APXS/CLI versions of PHP are supported).

The Coming Revolution in Scholarly Communications & Cyberinfrastructure, CTWatch Quarterly 07年8月期。可全文阅读，内容包括：

Introduction
Lee Dirks, Microsoft Corporation
Tony Hey, Microsoft Corporation

The Shape of the Scientific Article in The Developing Cyberinfrastructure
Clifford Lynch, Coalition for Networked Information (CNI)

Next-Generation Implications of Open Access
Paul Ginsparg, Cornell University

Web 2.0 in Science
Timo Hannay, Nature Publishing

Reinventing Scholarly Communication for the Electronic Age
J. Lynn Fink, University of California, San Diego
Philip E. Bourne, University of California, San Diego

Interoperability for the Discovery, Use, and Re-Use of Units of Scholarly Communication
Herbert Van de Sompel, Los Alamos National Laboratory
Carl Lagoze, Cornell University

Incentivizing the Open Access Research Web
Tim Brody, University of Southampton, UK
Les Carr, University of Southampton, UK
Yves Gingras, Université du Québec à Montréal (UQAM)
Chawki Hajjem, Université du Québec à Montréal (UQAM)
Stevan Harnad, University of Southampton, UK; Université du Québec à Montréal (UQAM)
Alma Swan, University of Southampton, UK; Key Perspectives

The Law as Cyberinfrastructure
Brian Fitzgerald, Queensland University of Technology, Australia
Kylie Pappalardo, Queensland University of Technology, Australia

Cyberinfrastructure For Knowledge Sharing
John Wilbanks, Scientific Commons

Trends Favoring Open Access
Peter Suber, Earlham College

读者里面一定有不少人和我一样对这方面内容感兴趣，如果格致能一直坚持下去，一定能见证这个变革。

For those of you attending the Search Engine Strategies Conference in San Jose, CA this week, drop by and check us out at one of these sessions: Search Engine Q&A On Links – Day 3 at 4:45pm (8/22) Join Eytan Seidman, Lead Program Manager for the Live...(read more)

由美国国家自然基金会(National Science Foundation),公共科学图书馆(Public Library of Science)和圣迭戈超级计算中心(San Diego Supercomputer Center)合作推出了一个新的SciVee的网站，可以被认为是YouTube的Science版本。科学家们可以在上面上传论文或者以讲座的形式来展示他们的研究成果。旨在给描述科学一个除了解决程式化的和难以读懂的科学论文以外的别的方法。
via: solidot

看了一下 scivee，因为是 PLoS 做的，所以内容多是生物类的。另外，发现它又是用 drupal 做的，drupal 真是很强大，而且很受科学群体的欢迎。

Now that Movable Type 4.0 is widely available and we've seen such a positive response, it's time to start diving into all the new features in MT4. Though MT has been fundamentally rebuilt from the ground up, the most obvious...

这几天有个读者来来去去给我写了几封 email ，问起我的观点：数学和编程是什么关系？学编程需要多深的数学基础？到底需要掌握哪些数学知识，对编程能力的提高有帮助。 这个还真不好说。 如果说起课堂上我们学到的知识。除了初等代数，在编程中我还真没碰到多少依赖数学技能来解决的问题。当年我学 C 语言的时候很小，甚至不知道数学中函数这个概念，还不一样把 C 语言学完了。虽然过了些年，我才把数学中的函数和程序中的函数联系起来。 做 3d 游戏编程，大学里的线性代数可能还用的到一点。至少得知道矩阵运算吧。但是大部分程序员并不需要接触这些东西。除此之外，如果说程序员必须精通微积分才能编程，那绝对是鬼扯。 如果对用编程的手段解决各种问题感兴趣，或许相关领域的数学知识有些用。比如我时常由于兴趣，做一些数据统计分析工作，这时概率统计的知识就少不了。但是解决问题，编程和数学一样，都只是工具。他们的地位是平等的，并非编程的技能依赖数学技能。 那么，学习数学有用吗？当然有必要。因为数学是一种思考方式，编程需要这样的思考方式。...