David In Singapore, Serious Moonlight Tour 1983

IT’S NATIONAL LIBRARY WEEK

HUZZAH! It is National Library Week, bookworms and library cats!! 

And that means it is the perfect time of year to show some love to your local (and not local) Libraries, both in person and online. So, just as we took time to make a special post on Follow a Library Day last year, we’ve created ANOTHER master post to honor all the libraries we know so far on tumblr so that you can #followalibrary!! 

Check out their tumblrs below and show them some love, bookworms! (Alphabetical by url)

@alachualibrary (The Alachua County Library District)

@alt-library (By Sacramento Public Library)

@aplibrary (Abilene Public Library)

@austinpubliclibrary (Austin Public Library)

@badgerslrc (The Klamath Community College’s Learning Research Center)

@bflteens (Baker Free Library’s Tumblr For Teens)

@bibliosanvalentino (Biblioteca San Valentino [San Valentino Library])

@biodivlibrary (Biodiversity Heritage Library)

@bodleianlibs (Bodleian Libraries)

@boonelibrary (Boone County Public Library)

@brkteenlib (Brookline Public Library Teen Services Department)

@californiastatelibrary (California State Library)

@cheshirelibrary (Cheshire Public Library)

@cityoflondonlibraries (City of London Libraries)

@cmclibraryteen (Cape May County Library’s Teen Services)

@cobblibrary (Cobb County Public Library System)

@cpl-archives (Cleveland Public Library Archives)

@cplsteens (Clearwater Public Library Teens)

@darienlibrary (Darien Library)

@dcpubliclibrary (DC Public Library)

@decaturpubliclibrary (Decatur Public Library)

@delawarelibrary (Delaware County District Library)

@detroitlib (Detroit Public Library Music, Arts & Literature Department)

@douglaslibraryteens (Douglas Library For Teens)

@dplteens (Danville Public Library Teens)

@escondidolibrary (Escondido Public Library)

@fontanalib (Fontana Regional Library)

@fppld-teens (Franklin Park Library Teens)

@friscolibrary (Frisco Public Library)

@gastonlibrary (Gaston County Public Library)

@glendaleteenlibrary (Glendale Public Library Teens)

@hpldreads (Havana Public Library District)

@hpl-teens (Homewood Public Library For Teens)

@kingsbridgelibraryteens (Kingsbridge Library Teens Advisory Group)

@lanelibteens (Lane Memorial Library Teen Services)

@lawrencepubliclibrary (Lawrence Public Library)

@marioncolibraries (Marion County Public Library System)

@mrcplteens (Mansfield/Richland County Public Library Teen Zone)

@myrichlandlibrary (Mansfield/Richland County Public Library)

@necclibrary (Northern Essex Community College Libraries)

@novipubliclibrary (Novi Public Library)

@nplteens (Nashua Public Library Teens)

@orangecountylibrarysystem (Orange County Library System)

@othmeralia  (Othmer Library of Chemical History)

@petit-branch-library (Petit Branch Library)

@pflibteens (Pflugerville Public Library Teenspace)

@plainfieldlibrary (Plainfield Public Library District)

@royhartlibrary (RoyHart Community Library)

@safetyharborpubliclibrary (Safety Harbor Library Teen Zone)

@santamonicalibr (Santa Monica Public Library)

@schlowlibrary (Schlow Centre Region Library)

@smithsonianlibraries (Museum Library System)

@smlibrary (Sheppard Memorial Library)

@southeastlibrary (Southeast Branch Library)

@tampabaylibraryconsortium-blog (Tampa Bay Library Consortium)

@teenbookerie (Erie County Public Library For Teens)

@teencenterspl (The Smith Public Library Teen Center)

@teensfvrl (Fraser Valley Regional Library)

@teen-stuff-at-the-library (White Oak Library District)

@therealpasadenapubliclibrary (Pasadena Public Library)

@ucflibrary (University of Central Florida Library)

@uwmspeccoll (University of Wisconsin Milwaukee Libraries Special Collections)

@vculibraries (Virginia Commonwealth University Libraries)

@waynecountyteenzone (Wayne County Public Library’s Teen Space)

@wellingtoncitylibraries (Wellington City Libraries)

@widenerlibrary (Harvard’s Widener Library)

Whew! There’s a LOT of you. :) But we now this list is just getting started! Feel free to keep the library love going by adding any libraries we missed/don’t know of yet! (And if you’re not following US already, well, what better time to start than this week? ;) Eh? Eh?) And, of course, never hesitate to visit your Library in person. We love seeing you! :) 

Happy National Library Week, library cats!

1971 Japanese re-release poster for THE GRADUATE (Mike Nichols, USA, 1967)

Designer: unknown

Poster source: Heritage Auctions

Celebrating the films of storyboard artist Harold Michelson and researcher Lillian Michelson–the subjects of the upcoming HAROLD AND LILLIAN - A HOLLYWOOD LOVE STORY. This weekend, TCM will mark the 50th anniversary of The Graduate—a film that Harold storyboarded and contributed an iconic shot to—by screening a 4K restoration of the film in 700 theaters nationwide on April 23 and 26. Read more at the Harold and Lillian blog and find out where to see The Graduate here.

HAROLD AND LILLIAN opens next Friday at the Quad Cinema in New York.

Categorizing Posts on Tumblr

Millions of posts are published on Tumblr everyday. Understanding the topical structure of this massive collection of data is a fundamental step to connect users with the content they love, as well as to answer important philosophical questions, such as “cats vs. dogs: who rules on social networks?”

As first step in this direction, we recently developed a post-categorization workflow that aims at associating posts with broad-interest categories, where the list of categories is defined by Tumblr’s on-boarding topics.

Methodology

Posts are heterogeneous in form (video, images, audio, text) and consists of semi-structured data (e.g. a textual post has a title and a body, but the actual textual content is un-structured). Luckily enough, our users do a great job at summarizing the content of their posts with tags. As the distribution below shows, more than 50% of the posts are published with at least one tag.

However, tags define micro-interest segments that are too fine-grained for our goal. Hence, we editorially aggregate tags into semantically coherent topics: our on-boarding categories.

We also compute a score that represents the strength of the affiliation (tag, topic), which is based on approximate string matching and semantic relationships.

Given this input, we can compute a score for each pair (post,topic) as:

where

w(f,t) is the score (tag,topic), or zero if the pair (f,t) does not belong in the dictionary W.

tag-features(p) contains features extracted from the tags associated to the post: raw tag, “normalized” tag, n-grams.

q(f,p) is a weight [0,1] that takes into account the source of the feature (f) in the post (p).

The drawback of this approach is that relies heavily on the dictionary W, which is far from being complete.

To address this issue we exploit another source of data: RelatedTags, an index that provides a list of similar tags by exploiting co-occurence patterns. For each pair (tag,topic) in W, we propagate the affiliation with the topic to its top related tags, smoothing the affiliation score w to reflect the fact these entries (tag,topic) could be noisy.

This computation is followed by filtering phase to remove entries (post,topic) with a low confidence score. Finally, the category with the highest score is associated to the post.

Evaluation

This unsupervised approach to post categorization runs daily on posts created the day before. The next step is to assess the alignment between the predicted category and the most appropriate one.

The results of an editorial evaluation show that the our framework is able to identify in most cases a relevant category, but it also highlights some limitations, such as a limited robustness to polysemy.

We are currently looking into improving the overall performances by exploiting NLP techniques for word embedding and by integrating the extraction and analysis of visual features into the processing pipeline.

Some fun with data

What is the distribution of posts published on Tumblr? Which categories drive more engagements? To analyze these and other questions we analyze the categorized posts over a period of 30 days.

Almost 7% of categorized posts belong to Fashion, with Art as runner up.

The category that drives more engagements is Television, which accounts for over 8% of the reblogs on categorized posts.

However, normalizing by the number of posts published, the category with the highest average of engagements per post isGif Art, followed by Astrology.

Last but not least, here are the stats you all have been waiting for!! Cats are winning on Tumblr… for now…

1.朝顔売り

2.西瓜売り

3.風鈴売り

4.金魚売り

(Image caption: If this picture makes you feel uncomfortable, you feel empathic pain. This sensation activates the same brain regions as real pain. © Kai Weinsziehr for MPG)

The anatomy of pain

Grimacing, we flinch when we see someone accidentally hit their thumb with a hammer. But is it really pain we feel? Researchers at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig and other institutions have now proposed a new theory that describes pain as a multi-layered gradual event which consists of specific pain components, such as a burning sensation in the hand, and more general components, such as negative emotions. A comparison of the brain activation patterns during both experiences could clarify which components the empathic response shares with real pain. 

Imagine you’re driving a nail into a wall with a hammer and accidentally bang your finger. You would probably injure finger tissue, feel physical distress, focus all your attention on your injured finger and take care not to repeat the misfortune. All this describes physical and psychological manifestations of “pain” – specifically, so-called nociceptive pain experienced by your body, which is caused by the stimulation of pain receptors.

Now imagine that you see a friend injure him or herself in the same way. You would again literally wince and feel pain, empathetic pain in this case. Although you yourself have not sustained any injury, to some extent you would experience the same symptoms: You would feel anxiety; you may recoil to put distance between yourself and the source of the pain; and you would store information about the context of the experience in order to avoid pain in the future.

Activity in the brain

Previous studies have shown that the same brain structures – namely the anterior insula and the cingulate cortex – are activated, irrespective of whether the pain is personally experienced or empathetic. However, despite this congruence in the underlying activated areas of the brain, the extent to which the two forms of pain really are similar remains a matter of considerable controversy.

To help shed light on the matter, neuroscientists, including Tania Singer, Director at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, have now proposed a new theory: “We need to get away from this either-or question, whether the pain is genuine or not.”

Instead, it should be seen as a complex interaction of multiple elements, which together form the complex experience we call “pain”. The elements include sensory processes, which determine, for example, where the pain stimulus was triggered: in the hand or in the foot? In addition, emotional processes, such as the negative feeling experienced during pain, also come into play. “The decisive point is that the individual processes can also play a role in other experiences, albeit in a different activation pattern,” Singer explains – for example, if someone tickles your hand or foot, or you see images of people suffering on television. Other processes, such as the stimulation of pain receptors, are probably highly specific to pain. The neuroscientists therefore propose comparing the elements of direct and empathetic pain: Which elements are shared and which, by contrast, are specific and unique to the each form of pain?

Areas process general components

A study that was published almost simultaneously by scientists from the Max Planck Institute for Human Cognitive and Brain Sciences and the University of Geneva has provided strong proof of this theory: They were able to demonstrate for the first time that during painful experiences the anterior insula region and the cingulate cortex process both general components, which also occur during other negative experiences such as disgust or indignation, and specific pain information – whether the pain is direct or empathic.

The general components signal that an experience is in fact unpleasant and not joyful. The specific information, in turn, tells us that pain – not disgust or indignation – is involved, and whether the pain is being experienced by you or someone else. “Both the nonspecific and the specific information are processed in parallel in the brain structures responsible for pain. But the activation patterns are different,” says Anita Tusche, also a neuroscientist at the Max Planck Institute in Leipzig and one of the authors of the study.

Thanks to the fact that our brain deals with these components in parallel, we can process various unpleasant experiences in a time-saving and energy-saving manner. At the same time, however, we are able register detailed information quickly, so that we know exactly what kind of unpleasant event has occurred – and whether it affects us directly or vicariously. “The fact that our brain processes pain and other unpleasant events simultaneously for the most part, no matter if they are experienced by us or someone else, is very important for social interactions,” Tusche says, “because it helps to us understand what others are experiencing.”

(Fig.1. Neuron connections in biological neural networks. Source: MIPT press office)

Physicists build “electronic synapses” for neural networks

A team of scientists from the Moscow Institute of Physics and Technology(MIPT) have created prototypes of “electronic synapses” based on ultra-thin films of hafnium oxide (HfO2). These prototypes could potentially be used in fundamentally new computing systems. The paper has been published in the journal Nanoscale Research Letters.

The group of researchers from MIPT have made HfO2-based memristors measuring just 40x40 nm2. The nanostructures they built exhibit properties similar to biological synapses. Using newly developed technology, the memristors were integrated in matrices: in the future this technology may be used to design computers that function similar to biological neural networks.

Memristors (resistors with memory) are devices that are able to change their state (conductivity) depending on the charge passing through them, and they therefore have a memory of their “history”. In this study, the scientists used devices based on thin-film hafnium oxide, a material that is already used in the production of modern processors. This means that this new lab technology could, if required, easily be used in industrial processes.

“In a simpler version, memristors are promising binary non-volatile memory cells, in which information is written by switching the electric resistance – from high to low and back again. What we are trying to demonstrate are much more complex functions of memristors – that they behave similar to biological synapses,” said Yury Matveyev, the corresponding author of the paper, and senior researcher of MIPT’s Laboratory of Functional Materials and Devices for Nanoelectronics, commenting on the study.

Synapses – the key to learning and memory

A synapse is point of connection between neurons, the main function of which is to transmit a signal (a spike – a particular type of signal, see fig. 2) from one neuron to another. Each neuron may have thousands of synapses, i.e. connect with a large number of other neurons. This means that information can be processed in parallel, rather than sequentially (as in modern computers). This is the reason why “living” neural networks are so immensely effective both in terms of speed and energy consumption in solving large range of tasks, such as image / voice recognition, etc.

(Fig.2 The type of electrical signal transmitted by neurons (a “spike”). The red lines are various other biological signals, the black line is the averaged signal. Source: MIPT press office)

Over time, synapses may change their “weight”, i.e. their ability to transmit a signal. This property is believed to be the key to understanding the learning and memory functions of thebrain.

From the physical point of view, synaptic “memory” and “learning” in the brain can be interpreted as follows: the neural connection possesses a certain “conductivity”, which is determined by the previous “history” of signals that have passed through the connection. If a synapse transmits a signal from one neuron to another, we can say that it has high “conductivity”, and if it does not, we say it has low “conductivity”. However, synapses do not simply function in on/off mode; they can have any intermediate “weight” (intermediate conductivity value). Accordingly, if we want to simulate them using certain devices, these devices will also have to have analogous characteristics.

The memristor as an analogue of the synapse

As in a biological synapse, the value of the electrical conductivity of a memristor is the result of its previous “life” – from the moment it was made.

There is a number of physical effects that can be exploited to design memristors. In this study, the authors used devices based on ultrathin-film hafnium oxide, which exhibit the effect of soft (reversible) electrical breakdown under an applied external electric field. Most often, these devices use only two different states encoding logic zero and one. However, in order to simulate biological synapses, a continuous spectrum of conductivities had to be used in the devices.

“The detailed physical mechanism behind the function of the memristors in question is still debated. However, the qualitative model is as follows: in the metal–ultrathin oxide–metal structure, charged point defects, such as vacancies of oxygen atoms, are formed and move around in the oxide layer when exposed to an electric field. It is these defects that are responsible for the reversible change in the conductivity of the oxide layer,” says the co-author of the paper and researcher of MIPT’s Laboratory of Functional Materials and Devices for Nanoelectronics, Sergey Zakharchenko.

The authors used the newly developed “analogue” memristors to model various learning mechanisms (“plasticity”) of biological synapses. In particular, this involved functions such as long-term potentiation (LTP) or long-term depression (LTD) of a connection between two neurons. It is generally accepted that these functions are the underlying mechanisms of  memory in the brain.

The authors also succeeded in demonstrating a more complex mechanism – spike-timing-dependent plasticity, i.e. the dependence of the value of the connection between neurons on the relative time taken for them to be “triggered”. It had previously been shown that this mechanism is responsible for associative learning – the ability of the brain to find connections between different events.

To demonstrate this function in their memristor devices, the authors purposefully used an electric signal which reproduced, as far as possible, the signals in living neurons, and they obtained a dependency very similar to those observed in living synapses (see fig. 3).

(Fig.3. The change in conductivity of memristors depending on the temporal separation between “spikes”(rigth) and the change in potential of the neuron connections in biological neural networks. Source: MIPT press office)

These results allowed the authors to confirm that the elements that they had developed could be considered a prototype of the “electronic synapse”, which could be used as a basis for the hardware implementation of artificial neural networks.

“We have created a baseline matrix of nanoscale memristors demonstrating the properties of biological synapses. Thanks to this research, we are now one step closer to building an artificial neural network. It may only be the very simplest of networks, but it is nevertheless a hardware prototype,” said the head of MIPT’s Laboratory of Functional Materials and Devices for Nanoelectronics, Andrey Zenkevich.

Pacific Lamprey (Entosphenus tridentatus) 

Lampreys in their mature stage are parasites, latching onto other fish with their suction cup like mouths. Keratinised teeth rasp away their host’s skin, as the lamprey releases anticoagulants to ensure a steady supply of blood. Many victims die of infections or blood loss. 

Dave Herasimtschuk and Jeremy Monroe 

The Icelandic Language still uses the letters Þ and Ð, which used to be in the English alphabet too but which fell into disuse and were eventually left out altogether. Their pronunciation is the sound made by the “th” in “this” and “that” respectively.

Incidentally, the Þ was not included in early English printing press types. As a substitute they used y, which looks somewhat similar. Thus was the popular misconception born that English people used to say “ye” as in “ye old shoppe.”

The alleged lexical extravagance of the Eskimos comports so well with the many other facets of their polysynthetic perversity: rubbing noses; lending their wives to strangers; eating raw seal blubber; throwing grandma out to be eaten by polar bears; “ We are prepared to believe almost anything about such an unfamiliar and peculiar group,” says Martin, in a gentle reminder of our buried racist tendencies. The tale she tells is an embarrassing saga of scholarly sloppiness and popular eagerness to embrace exotic facts about other people’s languages without seeing the evidence. The fact is that the myth of the multiple words for snow is based on almost nothing at all. It is a kind of accidentally developed hoax perpetrated by the anthropological linguistics community on itself. The original source is Franz Boas’ introduction to The Handbook of North American Indians (1911). And all Boas says there, in the context of a low-key and slightly ill-explained discussion of independent versus derived terms for things in different languages, is that just as English uses separate roots for a variety of forms of water (liquid, lake, river, brook, rain, dew, wave, foam) that might be formed by derivational morphology from a single root meaning ‘water’ in some other language, so Eskimo uses the apparently distinct roots aput 'snow on the ground’, qana 'falling snow’, piqsirpoq 'drifting snow’, and qimuqsuq 'a snow drift’. Boas’ point is simply that English expresses these notions by phrases involving the root snow, but things could have been otherwise, just as the words for lake, river, etc. could have been formed derivationally or periphrastically on the root water.  But with the next twist in the story, the unleashing of the xenomorphic fable of Eskimo lexicography seems to have become inevitable. What happened was that Benjamin Lee Whorf, Connecticut fire prevention inspector and weekend language-fancier, picked up Boas’ example and used it, vaguely, in his 1940 amateur linguistics article 'Science and linguistics,’ which was published in MIT’s promotional magazine Technology Review (Whorf was an alumnus; he had done his B.S. in chemical engineering at MIT). Our word snow would seem too inclusive to an Eskimo, our man from the Hartford Fire Insurance Company confidently asserts. With an uncanny perception into the hearts and minds of the hardy Arctic denizens (the more uncanny since Eskimos were not a prominent feature of Hartford’s social scene at the time), he avers:  “We have the same word for falling snow, snow on the ground, snow packed hard like ice, slushy snow, wind-driven flying snow – whatever the situation may be. To an Eskimo, this all-inclusive word would be almost unthinkable; he would say that falling snow, slushy snow, and so on, are sensuously and operationally different.” […] Notice that Whorf’s statement has illicitly inflated Boas’ four terms to at least seven (1: “falling”, 2: “on the ground”, 3: “packed hard”, 4: “slushy”, 5: “flying”, 6, 7 …. : “and other kinds of snow”). Notice also that his claims about English speakers are false; I recall the stuff in question being called “snow” when fluffy and white, “slush” when partly melted, “sleet” when falling in a half-melted state, and a “blizzard” when pelting down hard enough to make driving dangerous. Whorf’s remark about his own speech community is no more reliable than his glib generalizations about what things are “sensuously and operationally different” to the generic Eskimo.  But the lack of little things like verisimilitude and substantiation are not enough to stop a myth. Martin tracks the great Eskimo vocabulary hoax through successively more careless repetitions and embroiderings in a number of popular books on language. […] But never mind: three, four, seven, who cares? It’s a bunch, right? Once more popular sources start to get hold of the example, all constraints are removed: arbitrary numbers are just made up as the writer thinks appropriate for the readership. […] Among the many depressing things about this credulous transmission and elaboration of a false claim is that even if there were a large number of roots for different snow types in some Arctic language, this would not, objectively, be intellectually interesting; it would be a most mundane and unremarkable fact. Horsebreeders have various names for breeds, sizes, and ages of horses; botanists have names for leaf shapes; interior decorators have names for shades of mauve; printers have many different names for different fonts (Caslon, Garamond, Helvetica, Times Roman, and so on), naturally enough. If these obvious truths of specialization are supposed to be interesting facts about language, thought, and culture, then I’m sorry, but include me out. Would anyone think of writing about printers the same kind of slop we find written about Eskimos in bad linguistics textbooks? Take a random textbook like Paul Gaeng’s Introduction to the Principles of Language (1971), with its earnest assertion: “It is quite obvious that in the culture of the Eskimos… snow is of great enough importance to split up the conceptual sphere that corresponds to one word and one thought in English into several distinct classes…” (p. 137). Imagine reading: “It is quite obvious that in the culture of printers.., fonts are of great enough importance to split up the conceptual sphere that corresponds to one word and one thought among non-printers into several distinct classes…” Utterly boring, if even true. Only the link to those legendary, promiscuous, blubber-gnawing hunters of the icepacks could permit something this trite to be presented to us for contemplation.

Geoff Pullum, in The Great Eskimo Vocabulary Hoax. (via allthingslinguistic)

Farming amoebae carry around detoxifying food

Five years ago, the Queller-Strassmann lab at Rice University, now at Washington University in St. Louis, demonstrated that the social amoeba Dictyostelium discoideum – affectionately nicknamed “Dicty” – can maintain a crop of food bacteria from generation to generation, giving these farmers an advantage when food is scarce.

Now, new research from the same team shows that these microscopic farmers also rely on their symbiotic bacteria to protect themselves from environmental toxins, a little-studied but increasingly clear role microbes can play for their hosts.

Research scientist Debra Brock led the new work, published April 20 in the Proceedings of the Royal Society B.

These amoebae are content to be loners when food is abundant, but when it’s depleted they come together in the tens of thousands to cooperate. They transform into a mobile slug that migrates in search of fairer conditions and then produces hardy spores to release into the environment and wait out the lean times.

The slug has a tiny pool of specialized cells, called sentinels, that protect it from pests and poisons by ferrying them away.

“The sentinel cells pass through the body, mopping up toxins, bacteria, and essentially serving as a liver, a kidney, and innate immune system and being left behind in the slime trail,” said Joan Strassmann, PhD, the Charles Rebstock Professor of Biology in Arts & Sciences.

Debra A. Brock, W. Éamon Callison, Joan E. Strassmann, David C. Queller. Sentinel cells, symbiotic bacteria and toxin resistance in the social amoebaDictyostelium discoideum. Proceedings of the Royal Society B: Biological Sciences, 2016; 283 (1829): 20152727 DOI: 10.1098/rspb.2015.2727

The social amoeba Dictyostelium discoideum has both solitary and communal life stages. As long as food is abundant, it lives on its own, but when food is scarce the amoebae seek one another out. Together they form a slug that migrates toward the light and then a fruiting body that disperses spores from atop a stalk. The fruiting bodies are pictured here. Credit: Strassmann/Queller lab