How to find/create a URL to a status update post on LinkedIn
In addition to the manual method mentioned by Brannigan (on 7/14/15) [http:/
The two "stem" URL formats are as follows:
https:/
https:/
Where the XXXXX indicates the topic ID number that is unique to each post.
To get this ID number:
* Find the post (either natively or on their own page by using the menubar: Profile / My Updates).
* Then highlight the word "share" in the bottom of the post and right click "Inspect" (in Chrome, though other browsers allow means of viewing source code/CSS for pages as well, see also firebug for Firefox).
* The topic ID will appear just below the <span> for the share button in the <form class="comment-box"> tag.
* Take the topic ID number and replace the XXXXX with it at the end of one of the two stem URL's above and you've now got a direct URL for your particular status update.
Example: https:/
Naturally, it would be far better if LinkedIn would just wrap a direct anchor tag around one of the post elements so it could be more easily cut and pasted when necessary. (Facebook, Twitter, Google+, and most other social media networks do this or even provide embed code to make it easier.)
I'll also note for those with programming skills that LinkedIn provides at least limited API access for posting updates and returning the resulting URL. The opensource Known platform uses it and there's a plugin available on Github with sample code for those who might appreciate it: https:/
Gravitational waves are the only information known to be capable of escaping a black hole’s crushing gravity. http:/
LA Times Real Estate features one-time home of @JohnsHopkins alum ('39) & noted screenwriter Millard Kaufman
In the <a href="http://www.latimes.com/business/realestate/hot-property/la-fi-home-20151213-story.html" target="_blank">Sunday section of the Los Angeles Times, this week's "Home of the Week"</a> is that of noted screenwriter and Johns Hopkins alum Millard Kaufman (class of 1939). <a href="http://www.nytimes.com/2009/03/19/movies/19kaufman.html" target="_blank">Kaufman passed away in 2009</a> just two years after publishing his<a href="http://amzn.to/1mfobJP" target="_blank"> debut novel</a>.
Kaufman is often best known as the co-creator of the cartoon character Mr. Magoo as well as for his Academy Award nominated screenplays for <em>Take the High Ground</em> (1953) and <em>Bad Day at Black Rock</em> (1955). He's also known for having <a href="http://boffosocko.com/2015/11/11/in-memoriam-millard-kaufman-wwii-veteran-and-front-for-dalton-trumbo/" target="_blank">fronted the screenplay for Gun Crazy on behalf of blacklisted writer Dalton Trumbo</a> who was the subject of the recent film Trumbo.
<img class="wp-image-237 size-full" src="http://media.johnshopkinsuniversity.biz/wp-content/uploads/2015/12/la-fi-home-of-the-week-hollywood-hills-20151213-banner.jpg" alt="Millard Kaufman Residence" width="750" height="422" />
The Modernist home at 3574 Multiview Drive, Los Angeles, is listed at $2.495 million. (BelAirPhotography.com)
Click through to the <a href="http://www.latimes.com/business/realestate/hot-property/la-fi-home-20151213-story.html" target="_blank">article</a> which features a gallery of 21 fantastic photos of the interior of the Millard Kaufman residence.
<blockquote>
<h3>Three noted architects shaped a Midcentury Modern in Hollywood Hills</h3>
This Midcentury Modern house in Hollywood Hills is named the Millard Kaufman residence for its one-time owner, who was a screenwriter, an author and the co-creator of the cartoon character Mr. Magoo. A trio of notable architects left their marks on the two-story post-and-beam house, which features exposed wood ceilings, walls of glass and original paneling.
<strong>Location:</strong> 3574 Multiview Drive, Los Angeles 90068
<strong>Asking price:</strong> $2.495 million</blockquote>
-- Source: <a href="http://www.latimes.com/business/realestate/hot-property/la-fi-home-20151213-story.html" target="_blank">Lauren Beale writing for the Los Angeles Times</a>
The home has also been featured before in Curbed [<a href="http://la.curbed.com/tags/millard-kaufman" target="_blank">here </a>and <a href="http://curbed.com/archives/2014/10/30/millard-kaufman-residence-neutra-addition-for-sale.php" target="_blank">here</a>] when it was previously for sale. There's also a video walk through on YouTube (see below.)
https:/
I use and love @withknown every day; Have you seen it/used it yet @geofdotedu?
Why we built Known http:/
Review of Zealot: The Life and Times of Jesus of Nazareth https:/
Over the past four years I've read several books, similar in concept to this one, including many by Bart Ehrman who possibly has the largest number of texts in the area including: [book:Did Jesus Exist?: The Historical Argument for Jesus of Nazareth|11543839], [book:Jesus, Interrupted: Revealing the Hidden Contradictions in the Bible & Why We Don't Know About Them|6101996], [book:From Jesus to Constantine: A History of Early Christianity|2397133][book:The New Testament|260609], and a good portion of [book:The Text of the New Testament: Its Transmission, Corruption & Restoration|240196].
Of the group, which has a lot of overlap in general thesis and examples, this is by far the best in terms of presentation of a story and all the details. Aslan's writing is interesting, evocative, well-researched, and intrinsically entertaining. As a product, in part, of the Johns Hopkins Writing Seminars, I'm loathe to acknowledge a graduate of Iowa's wriiting program, but Aslan certainly does great credit to his alma mater. He does a relatively good job of describing his own background for those interested in his viewpoint from a historical perspective. He also does an excellent job of pointing out what his own opinions are as well as highlighting where his though differs from that of other scholars in the field and where theirs differs from each other.
While this is most assuredly a popular-press title and aimed at a far broader audience (like many of Ehrman's works) than the more specialized scholarly treatises he references, I have to take Aslan (or far more likely his editors) to task for the poor presentation/layout of the notes provided in the back. The book would appear to be relatively well footnoted with exception to the fact that the footnotes don't appear within the text, nor do they appear even at the bottom of the pages. Even worse, the 50+ pages of excellent (and actually read-worthy) notes in the end are sorted by chapter and have no indicators to the portions of the main text to which they directly relate, which make them terrifically painful for other scholars to contemplate using in any functional way. Hopefully future editions will at least include numbered indicators in the main text that tie to the notes in the back. While this is aimed toward the masses, it's really a shame that the presentation of the notes within the book wasn't handled a bit better. At least the biblical references were included within the primary text - and these in themselves do a great job of indicating the synoptic nature of the New Testament gospels.
One thing that Aslan includes that I haven't seen thus far in much of my reading is a fantastic overview of first century Palestine from a sociological and political perspective to help put the balance of the story into context. All of the major players seem to be well represented and given reasonable weight. If only more histories could be written in this way, perhaps the world would read non-fiction for entertainment rather than the litany of romance, thrillers, sci-fi/fantasy, and general fiction that dominates the best-seller lists. His overview is not only interesting in and of itself, it takes up almost the first third of the text and continues on as necessary through the remainder of the text to provide continued context.
In summation, the book was well-researched, entertainingly presented and phenomenally interesting, even to someone who's read the majority of the details in the recent past. I would highly recommend this to anyone and everyone (regardless of their religious leanings), particularly as the subject concerns two of the most influential figures in all of western history/philosophy. Aslan presents some excellent facts, ideas, and thoughts that are assuredly not known by a majority of people, who really should be aware of them.
Some additional thoughts on information theory and complexity for models in ecology.
In addition to some of my commentary on <a href="http://biology.stackexchange.com/a/40555/6629">StackExchange</a>, I'll include a few additional thoughts which may be of help/assistance.
First for those who don't have the background, I <i>highly</i> recommend reading the two seminal papers on information theory and statistical mechanics by ET Jaynes and the standard text on information theory <i><a href="http://amzn.to/1NThEjd">Elements of Information Theory</a></i> by Thomas M. Cover and Joy A. Thomas.
In addition to the information theoretic related areas, you might want to take a look at the discipline of complexity theory, which has primarily grown out of the Santa Fe Institute over the past several decades and which includes information theory as part of its disciplines. If you're unfamiliar with the broader topic, Melanie Mitchell has an excellent overview with her book <i><a href="http://amzn.to/1YbcUZ4">Complexity: A Guided Tour</a></i>. Also related to complexity is the area of cellular automata which one could view as a very base model of more complex ecological systems. Here, perhaps Stephen Wolfram's <i><a href="http://amzn.to/1kwIAtM">A New Kind of Science</a></i> or <i><a href="http://amzn.to/1Ybd3Me">Cellular Automata and Complexity</a></i> will be enlightening. The broader theories coming out of these primarily mathematical areas may be useful to you.
In particular, given the types of models in ecosystems, I might suggest taking a look at some of the mathematical modeling going on at the intersection of complexity and economics. For a relatively simple introduction to this area, one could look at the relatively introductory text <i><a href="http://amzn.to/1kwJ6Ic">Complexity and the Economy</a></i> by W. Brian Arthur which is very interesting. The economy is essentially a very specific type of ecology dealing with human beings, assets, and the monetary system.
Another area which I've seen a lot of literature over the last few years is applicable to the ideas of resiliency and complexity in cities, for assisting in designing more robust city planning. This really isn't that far from the naturally evolving systems being looked at in ecology settings.
For those looking for researchers in the area of complexity, I have a <a href="https://twitter.com/ChrisAldrich/lists/complexity/members">list of many who are on twitter</a> in a variety of sub-areas. In addition to individuals, it also includes a number of institutes and related organizations as well.
I'd also suggest, that for the broadest theoretical setting, one could actually start with the topic known as "Big History" which takes the broadest approach of looking at history and the evolution of the cosmos over 13.7 billion years since the big bang. This conceptualization includes ideas like evolution, complexity, and emergence on the biggest scales, a set of theories that could be similarly applied to ecologies both large and small. For this viewpoint, I would suggest two works by David Christian including <i><a href="http://amzn.to/1kwJPJy">Maps of Time: An Introduction to Big History</a></i> and <i><a href="http://amzn.to/1YbdExx">Big History: The Big Bang, Life on Earth, and the Rise of Humanity</a></i>.
In essence, with many of these topics and viewpoints, one is treating individual animals or even entire species as elementary particles and then using the mathematical models of statistical thermodynamics to tease out specific types of data or trends. As layers of overlapping "particles" interact with each other, they cause emergent types properties, and then these resultant emergent properties combine to create further layers of emergent properties, none of which might have been necessarily deduced from the initial conditions. Within Big History, these types of emergence go from the big bang and basic particles in the early universe to the ultimate evolution of humankind by way of a variety of stages.
A general foothold into the overlap of maximum entropy methods and biology:
John Harte's work on applying the mathematical theory of maximum entropy to ecology is certainly one of the better known examples of the application of this area of mathematics to science, in part because he literally wrote the textbook: [Maximum Entropy and Ecology: A Theory of Abundance, Distribution, and Energetics (Oxford Series in Ecology and Evolution)][1]
To be clear, maximum entropy (also known as MaxEnt in some of the literature, though most/all researchers use the longer form in publications) is a mathematical tool stemming from the fields of probability theory, statistics, and information theory. It's use is classically most often seen in thermodynamics, statistical thermodynamics, physics, and information theory, primarily because these were the areas in which E.T. Jaynes was working when he posited the idea. [Wikipedia has links to his two seminal papers.][2]But because of it's mathematical form, it can be applied in a multitude of areas, typically where one can utilize probabilistic methods.
If you're looking for additional areas of application, simply google the phrase "applied maximum entropy" and you'll find a [wealth of areas][3] including: econometrics, natural language processing, nuclear medicine, queuing systems, mass spectrometry, image processing, machine learning, and many others.
For ecology related work, a cross search on maximum entropy and "genetics", "evolution", "species", and similar words will provide a wealth of papers like ["A maximum entropy approach to species distribution modeling"][4].
Given the generic nature of your question, I might suggest that you'll find E.T. Jaynes' paper ["On the Rationale of Maximum-Entropy Methods" (IEEE, 1982)][5] useful.
Those generally interested in the broader applications of information theoretic methods to biology will likely appreciate some of the work that came out of last year's [NIMBioS Workshop on Information and Entropy in Biological Systems][6] (which Harte both attended and presented at), the [BIRS Workshop Biological and Bio-Inspired Information Theory][7], and the 2014 [CECAM Entropy in Biomolecular Systems][8]. The NIMBios Workshop was organized by John Baez, a physicist, who has worked with MaxEnt methods and explored them on his blog "[Azimuth][9]".
Those with a more sophisticated mathematical background (including measure theory, functional analysis, etc.) may appreciate Henryk Gzyl's text [The Method of Maximum Entropy (World Scientific: Series on Advances in Mathematics for Applied Sciences, Vol 29, 1995)][10].
[1]: http:/
[2]: https:/
[3]: https:/
[4]: http:/
[5]: ftp:/
[6]: http:/
[7]: http:/
[8]: http:/
[9]: https:/
[10]: http:/
Finished upgrading to @withknown 0.8.5. #indieweb #FTW http:/
David Dylan Thomas asked, "When was the last time in human history when you could have possibly consumed every piece of culture than had ever been created?"
In a realistic sense, you'd have to name a "sphere" of culture to do this as the link between even the occidental and the oriental was not well established such that a western scholar, for example, may have possibly known about "all" culture until modern times - and then being able to consume it all would be nearly impossible.
Within the much smaller realm of mathematics, the last mathematician who was said to have known "all" of mathematics was David Hillbert around 1900-1910. No modern mathematician functions in all of the various branches the way he and many of his predecessors did.
Given that there are currently over 7,000 "distinct" languages on the planet and they're dying at an increasing rate, if we surmise that there were at most 2x this number at the peak number of languages (which is a laughable guess at best), just knowing all these languages fluently would be a massive hurdle at best, much less all the culture raining down from each of them.
This popped up a few weeks ago in my little free library, and expecting that it fell into a similar category as my friend P.M. Forni's works, I thought I'd give it a quick read. Given the title, it certainly wasn't being marketed to me directly, but I suspect the writer lost the battle with the publisher for giving it a more sophisticated subtitle.
In particular, it comes out in the category of books fashioned from tying together ideas from a commonplace book(s). It's well written and covers a broad variety of ideas and research, which most are unlikely to be aware.
It's a bit more prescriptive and accessible to most in comparison to [book:Thinking, Fast and Slow|11468377], though I prefer the later for its depth. I was somewhat disappointed that her references were primarily from writers living after the 1400's while I initially expected to see more material from 400 BCE to 500AD, but one can obtain many of these from the aforementioned [author:P.M. Forni|148299] references. I was disappointed that her one passing mention of <i>eudaimonia</i> was for its simple existence as a word rather than for its relation to the thesis of the overarching text.
Having read many of her references including having been a fan and proponent of Benjamin Franklin's system for several decades, I didn't learn too many ideas I wasn't previously aware of, though it did make for a relatively interesting biography, in great part because of a large overlap in my interests and the author's.
I ran across many poor reviews of the work which seemed to focus on the writer's privileged background and her choice to write on this particular topic. I find this generally disingenuous as I seriously doubt any of these critics would have leveled similar barbs at any of the better known philosophers from ancient Greece onward and every one of those authors also held positions of power, prestige, and/or wealth. The real difference between the groups of writers is that this is a meta-analysis and general recipe for a modern approach to happiness while prior efforts by the classical writers were generally of a more straightforward philosophical bent.
I wasn't a fan of the inserted comments from the author's blog as a general narrative construct, though they did serve to provide additional ideas outside of the direct sphere of the author's experience to give unimaginative readers ideas about how they could use the advice to structure their own program.
As very few are aware of and even fewer have tried to implement Franklin's system, I could easily recommend this to a variety of people, though given the title and the marketing viewpoint of the book, I'm not sure many would take the content as seriously as they ought. I would rarely read, much less recommend a "self-help" title, but though I wish the references to the science of happiness were more thorough here there is some great underlying scientific material, so I would recommend this to anyone who wants to contempalate how to live a happier life.
Except that https:/
I recently updated Known to 0.8.2 and also updated the KnownLinkedin repository at the same time. It appears that a recent update may have removed the UI Icons that typically appear in both the form and the final post:
https:/
https:/
Kudos on his attempt to abstract out the engineering problem. It appears that he's taken very literally the words of Claude Shannon in paragraph two of "A Mathematical Theory of Communication" from The Bell System Technical Journal, Vol. 27, pp. 379–423, 623–656, July, October, 1948. [http:/
"The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point. Frequently the messages have meaning; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem. The significant aspect is that the actual message is one selected from a set of possible messages. The system must be designed to operate for each possible selection, not just the one which will actually be chosen since this is unknown at the time of design."
Though to your point, he not only missed the boat on the semantics of the lemon, but it's also technically a glass and not a cup. At least he didn't give you a lemon donut, or you'd have known for sure that he was a topologist.
This seems like an extension of Colin McNamara's post a while back, which Eric Waldstein is quietly referencing by copying the two of us: https:/
I'm also reminded of some of the simple examples that Warren Weaver and John Robinson Pierce presented shortly after the publication of Claude Shannnon's seminal work "The Mathematical Theory of Communication" which, because it underpins ALL of the modern day communications revolution (digital communication, computers, satellites, cell phones, etc.) since the 1940's, is often cited (along with religious texts like the Bible, the Koran, etc.) as one of humanity's most influential written works. [http:/
Shannon had previously taken George Boole's new "algebra" from the late 1800's (now known as Boolean Algebra, which underpins most of modern logic) and applied it to electronic circuits. Though somewhat technical most advanced high school algebra students should be able to read and understand most of Claude Shannon's MIT master's thesis, which itself is often cited as one of the most influential theses ever written. [http:/
In any case, Pierce in particular does some simple exercises relating to language in his book "An Introduction to Information Theory: Symbols, Signals and Noise" [http:/
This also to some extent, underpins our ability to look at the following paragraph and understand what it says. All the letters have been jumbled (mixed). Only the first and last letter of ecah word is in the right place:
I cnduo't bvleiee taht I culod aulaclty uesdtannrd waht I was rdnaieg. Unisg the icndeblire pweor of the hmuan mnid, aocdcrnig to rseecrah at Cmabrigde Uinervtisy, it dseno't mttaer in waht oderr the lterets in a wrod are, the olny irpoamtnt tihng is taht the frsit and lsat ltteer be in the rhgit pclae. The rset can be a taotl mses and you can sitll raed it whoutit a pboerlm. Tihs is bucseae the huamn mnid deos not raed ervey ltteer by istlef, but the wrod as a wlohe. Aaznmig, huh? Yaeh and I awlyas tghhuot slelinpg was ipmorantt! See if yuor fdreins can raed tihs too.
Pierce's book, while it does have some small amount of math, should be generally readable by most high school students. He also provides a simple model of language in his chapter "A Mathematical Model" which many may find interesting, or be able to pull some interesting examples out of. This particular book is also an excellent example of the intertwining of the ideas of physics, mathematics, engineering, psychology, thermodynamics as well as the ideas of emergence, convergence, and allows for the increased complexity and collective learning that underpins the philosophy of Big History.
One of my tweets (and posts) was used to illustrate some functionality in @withknown http:/