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
“Brainprint” Biometric ID Hits 100% Accuracy
Psychologists and engineers at Binghamton University in New York say they’ve hit a milestone in the quest to use the unassailable inner workings of the mind as a form of biometric identification. They came up with an electroencephalograph system that proved 100 percent accurate at identifying individuals by the way their brains responded to a series of images. But EEG as a practical means of authentication is still far off.
Many earlier attempts had come close to 100 percent accuracy but couldn’t completely close the gap. “It’s a big deal going from 97 to 100 percent because we imagine the applications for this technology being for high-security situations,” says Sarah Laszlo, the assistant professor of psychology at Binghamton who led the research with electrical engineering professor Zhanpeng Jin.
Perhaps as important as perfect accuracy is that this new form of ID can do something fingerprints and retinal scans have a hard time achieving: It can be “canceled.”
Fingerprint authentication can be reset if the associated data is stolen, because that data can be stored as a mathematically transformed version of itself, points out Clarkson University biometrics expert Stephanie Schuckers. However, that trick doesn’t work if it’s the fingerprint (or the finger) itself that’s stolen. And the theft part, at least, is easier than ever. In 2014 hackers claimed to have cloned German defense minister Ursula von der Leyen’s fingerprints just by taking a high-definition photo of her hands at a public event.
Several early attempts at EEG-based identification sought the equivalent of a fingerprint in the electrical activity of a brain at rest. But this new brain biometric, which its inventors call CEREBRE, dodges the cancelability problem because it’s based on the brain’s responses to a sequence of particular types of images. To keep that ID from being permanently hijacked, those images can be changed or re-sorted to essentially make a new biometric passkey, should the original one somehow be hacked.
CEREBRE, which Laszlo, Jin, and colleagues described in IEEE Transactions in Information Forensics and Security, involves presenting a person wearing an EEG system with images that fall into several categories: foods people feel strongly about, celebrities who also evoke emotions, simple sine waves of different frequencies, and uncommon words. The words and images are usually black and white, but occasionally one is presented in color because that produces its own kind of response.
Each image causes a recognizable change in voltage at the scalp called an event-related potential, or ERP. The different categories of images involve somewhat different combinations of parts of your brain, and they were already known to produce slight differences in the shapes of ERPs in different people. Laszlo’s hypothesis was that using all of them—several more than any other system—would create enough different ERPs to accurately distinguish one person from another.
The EEG responses were fed to software called a classifier. After testing several schemes, including a variety of neural networks and other machine-learning tricks, the engineers found that what actually worked best was a system based on simple cross correlation.
In the experiments, each of the 50 test subjects saw a sequence of 500 images, each flashed for 1 second. “We collected 500, knowing it was overkill,” Laszlo says. Once the researchers crunched the data they found that just 27 images would have been enough to hit the 100 percent mark.
The experiments were done with a high-quality research-grade EEG, which used 30 electrodes attached to the skull with conductive goop. However, the data showed that the system needs only three electrodes for 100 percent identification, and Laszlo says her group is working on simplifying the setup. They’re testing consumer EEG gear from Emotiv and NeuroSky, and they’ve even tried to replicate the work with electrodes embedded in a Google Glass, though the results weren’t spectacular, she says.
For EEG to really be taken seriously as a biometric ID, brain interfaces will need to be pretty commonplace, says Schuckers. That might yet happen. “As we go more and more into wearables as a standard part of our lives, [EEGs] might be more suitable,” she says.
But like any security system, even an EEG biometric will attract hackers. How can you hack something that depends on your thought patterns? One way, explains Laszlo, is to train a hacker’s brain to mimic the right responses. That would involve flashing light into a hacker’s eye at precise times while the person is observing the images. These flashes are known to alter the shape of the ERP.
*UPDATED* Here is a masterpost of MOOCs (massive open online courses) that are available, archived, or starting soon. Some are short, some are very interactive, some are very in-depth. I think they will help those that like to learn with a teacher or with videos. I checked each link to make sure they are functioning.
Beginner
AP Spanish Language & Culture
Basic Spanish for English Speakers
Beginner’s Spanish:Food & Drink
Fastbreak Spanish
How to Self-Study Spanish
Preparing for the AP Spanish Exam
Spanish for Beginners
Intermediate
Spanish:Ciudades con Historia
Spanish:Espacios Públicos
Advanced
Corrección, Estilo y Variaciones
La Innovación Social (Check under Translation)
Leer a Macondo (Taught in Spanish)
Spanish:Con Mis Propias Manos
Spanish: Perspectivas Porteñas
Reading Spanish Literature
Beginner
AP French Language and Culture
Basic French Skills
Beginner’s French: Food & Drink
Diploma in French
Elementary French I
Elementary French II
Français Interactif
French in Action
French Language Studies I
French Language Studies II
French Language Studies III
French:Ouverture
French Through Stories and Conversation
Improving Your French
Mastering French Grammar and Vocab
Intermediate
French: Le Quatorze Juillet
Passe Partout
Advanced
Fantasy, de l'Angleterre Victorienne au Trône de fer
La Cité des Sciences et de Industrie
Les Chansons des Troubadours
Reading French Literature
Brazilian Portuguese for Beginners
Curso de Português para Estrangeiros
Beginner
Beginner’s Italian: Food & Drink
Beginner Italian I
Introduction to Italian
Oggi e Domani
Survive Italy Without Being Fluent
Intermediate
Intermediate Italian I
Advanced
Advanced Italian I
Italian Literature
Italian Novel of the Twentieth Century
L'innovazione Sociale (Check language under translation)
Reading Italian Literature
Intro to Catalan Sign Language
Latin I (Taught in Italian)
Beginner
Basics of Russian
Easy Accelerated Learning for Russian
Russian Alphabet
Russian Essentials
Russian for Beginners
Russian Level I
Russian Phonetics and Pronunciation
Reading and Writing Russian
Travel Russian
Advanced
Business Russian (must register)
Let Us Speak Russian (must register)
Reading Master and Margarita
Russian as an Instrument of Communication
Siberia: Russian for Foreigners
Read Ukrainian
Ukrainian Language for Beginners
A1-B2 Kazakh (Taught in Russian)
Beginner
Basic Chinese
Basic Mandarin Chinese I
Basic Mandarin Chinese II
Beginner’s Chinese
Chinese for Beginners
Chinese Characters
Chinese for Travelers
Chinese is Easy
Chinese Made Easy
Easy Mandarin
First Year Chinese I
First Year Chinese II
Learn Oral Chinese
Mandarin Chinese I
Start Talking Mandarin Chinese
UT Gateway to Chinese
Intermediate
Intermediate Business Chinese
Intermediate Chinese
Intermediate Chinese Grammar
Beginner’s Conversational Japanese
Genki
Japanese JOSHU
Learn 80 JLPT N5 Kanji I
Learn 80 JLPT N5 Kanji II
Learn 80 JLPT N5 Kanji III
Learn 80 JLPT N5 Kanji IV
Beginner
First Step Korean
How to Study Korean
Pathway to Spoken Korean
Intermediate
Intermediate Korean
Introduction to Dutch
Beginner
Basic German
Basic Language Skills
Beginner’s German: Food & Drink
Conversational German I
Conversational German II
Conversational German III
Conversational German IV
Deutsch im Blick
Diploma in German
German A1 Grammar
German Alphabet
German Modal Verbs
Present Tense German
Rundblick-Beginner’s German
Study German Language from Native Speakers
Advanced
German:Regionen Traditionen und Geschichte
Landschaftliche Vielfalt
Reading German Literature
Learn The Norwegian Language
Norwegian on the Web
Intro to Swedish
A Taste of Finnish
Basic Finnish
Finnish for Immigrants
Finnish for Medical Professionals
Introduction to Frisian (Taught in Dutch)
Icelandic 1-5
Arabic for Global Exchange (in the drop down menu)
Arabic Language for Beginners
Arabic Without Walls
Conversational Arabic Made Easy
Intro to Arabic
Lebanese Arabic
Madinah Arabic
Moroccan Arabic
Read Arabic
Hebrew Alphabet Crashcourse
Know the Hebrew Alphabet
A Door into Hindi
Business Hindi
Virtual Hindi
Learn Indonesian
Beginner’s Conversation and Grammar
Beginner’s Welsh
Discovering Wales
Introduction to Irish
http://ocw.mit.edu/courses/global-studies-and-languages/ : MIT’s open courseware site has assignments and course material available.
I’ll keep an eye out for new courses and if you know of any, let me know so I can update this list.
The Red Flag Fleet under Ching Shih’s rule went undefeated, despite attempts by Qing dynasty officials, the Portuguese navy, and the East India Company to vanquish it. After three years of notoriety on the high seas, Ching Shih finally retired in 1810 by accepting an offer of amnesty from the Chinese government. Ching Shih died in 1844, at the ripe old age of 69.At the dawn of the 1800s, a former prostitute from a floating brothel in the city of Canton was wed to Cheng I, a fearsome pirate who operated in the South China Sea in the Qing dynasty. Though the name under which we now know her, Ching Shih, simply means “Cheng’s widow,” the legacy she left behind far exceeded that of her husband’s. Following his death, she succeeded him and commanded over 1,800 pirate ships, and an estimated 80,000 men.
Her husband, Ching I, was the formidable commander of the Red Flag Fleet of pirate ships. He married a 26-year-old Ching Shih in 1801. She quickly took to the pirate life and when Ching I died six years later, Ching Shih wasn’t going to let Ching I’s adopted son, Cheung Po Tsai take over. Cheung Po Tsai, however, was more than just Ching Shih’s adopted son –- the young man had also been Ching I’s lover.
Keep reading
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.”
(Image caption: The maturation of fibres of a brain structure called the arcuate fascicle (green) between the ages of three and four years establishes a connection between two critical brain regions: a region (brown) at the back of the temporal lobe that supports adults thinking about others and their thoughts, and a region (red) in the frontal lobe that is involved in keeping things at different levels of abstraction and, therefore, helps us to understand what the real world is and what the thoughts of others are. Credit: © MPI CBS)
The importance of relating to others: why we only learn to understand other people after the age of four
When we are around four years old we suddenly start to understand that other people think and that their view of the world is often different from our own. Researchers in Leiden and Leipzig have explored how that works. Publication in Nature Communications on 21 March.
At around the age of four we suddenly do what three-year-olds are unable to do: put ourselves in someone else’s shoes. Researchers at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig and at Leiden University have shown how this enormous developmental step occurs: a critical fibre connection in the brain matures. Senior researcher and Leiden developmental psychologist Nikolaus Steinbeis, co-author of the article, took part in the research. Lead author, PhD candidate Charlotte Grosse-Wiesmann, worked under his supervision.
Little Maxi
If you tell a 3-year-old child the following story of little Maxi, they will most probably not understand: Maxi puts his chocolate on the kitchen table, then goes to play outside. While he is gone, his mother puts the chocolate in the cupboard. Where will Maxi look for his chocolate when he comes back? A 3-year-old child will not understand why Maxi would be surprised not to find the chocolate on the table where he left it. It is only by the age of 4 years that a child will correctly predict that Maxi will look for his chocolate where he left it and not in the cupboard where it is now.
Theory of Mind
The researchers observed something similar when they showed a 3-year-old child a chocolate box that contained pencils instead of chocolates. When the child was asked what another child would expect to be in the box, they answered “pencils”, although the other child would not know this. Only a year later, around the age of four years, however, will they understand that the other child had hoped for chocolates. Thus, there is a crucial developmental breakthrough between three and four years: this is when we start to attribute thoughts and beliefs to others and to understand that their beliefs can be different from ours. Before that age, thoughts don’t seem to exist independently of what we see and know about the world. That is, this is when we develop a Theory of Mind.
Independent development
The researchers have now discovered what is behind this breakthrough. The maturation of fibres of a brain structure called the arcuate fascicle between the ages of three and four years establishes a connection between two critical brain regions: a region at the back of the temporal lobe that supports adult thinking about others and their thoughts, and a region in the frontal lobe that is involved in keeping things at different levels of abstraction and, therefore, helps us to understand what the real world is and what the thoughts of others are. Only when these two brain regions are connected through the arcuate fascicle can children start to understand what other people think. This is what allows us to predict where Maxi will look for his chocolate. Interestingly, this new connection in the brain supports this ability independently of other cognitive abilities, such as intelligence, language ability or impulse control.
A research team in the Department of Electrical and Electronic Information Engineering and the Electronics-Inspired Interdisciplinary Research Institute (EIIRIS) at Toyohashi University of Technology developed 5-μm-diameter needle-electrodes on 1 mm × 1 mm block modules. This tiny needle may help solve the mysteries of the brain and facilitate the development of a brain-machine interface. The research results were reported in Scientific Reports on Oct 25, 2016.
(Image caption: Extracellular needle-electrode with a diameter of 5 μm mounted on a connector)
The neuron networks in the human brain are extremely complex. Microfabricated silicon needle-electrode devices were expected to be an innovation that would be able to record and analyze the electrical activities of the microscale neuronal circuits in the brain.
However, smaller needle technologies (e.g., needle diameter < 10 μm) are necessary to reduce damage to brain tissue. In addition to the needle geometry, the device substrate should be minimized not only to reduce the total amount of damage to tissue but also to enhance the accessibility of the electrode in the brain. Thus, these electrode technologies will realize new experimental neurophysiological concepts.
A research team in the Department of Electrical and Electronic Information Engineering and the EIIRIS at Toyohashi University of Technology developed 5- μm-diameter needle-electrodes on 1 mm × 1 mm block modules.
The individual microneedles are fabricated on the block modules, which are small enough to use in the narrow spaces present in brain tissue; as demonstrated in the recording using mouse cerebrum cortices. In addition, the block module remarkably improves the design variability in the packaging, offering numerous in vivo recording applications.
“We demonstrated the high design variability in the packaging of our electrode device, and in vivo neuronal recordings were performed by simply placing the device on a mouse’s brain. We were very surprised that high quality signals of a single unit were stably recorded over a long period using the 5-μm-diameter needle,” explained the first author, Assistant Professor Hirohito Sawahata, and co-author, researcher Shota Yamagiwa.
The leader of the research team, Associate Professor Takeshi Kawano said: “Our silicon needle technology offers low invasive neuronal recordings and provides novel methodologies for electrophysiology; therefore, it has the potential to enhance experimental neuroscience.” He added, “We expect the development of applications to solve the mysteries of the brain and the development of brain–machine interfaces.”
Awesome things you can do (or learn) through TensorFlow. From the site:
Um, What Is a Neural Network?
It’s a technique for building a computer program that learns from data. It is based very loosely on how we think the human brain works. First, a collection of software “neurons” are created and connected together, allowing them to send messages to each other. Next, the network is asked to solve a problem, which it attempts to do over and over, each time strengthening the connections that lead to success and diminishing those that lead to failure. For a more detailed introduction to neural networks, Michael Nielsen’s Neural Networks and Deep Learning is a good place to start. For more a more technical overview, try Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
GitHub
h-t FlowingData
Once upon the time t(0) there was a young buck named Butterbean who wanted nothing more than to know his ontological value. Being familiar with the concepts of quantum mechanics he was sadly aware that this was theoretically impossible, but remained unsatisfied with the notion.
In an undying effort to discover the nature of his own existence he set out on a journey to seek the answer from all those most wise and perceiving.
Clearly the first stop was at the front door of Glad the hippopotamus.
Glad was of the notion that all things are ultimately mundane and that it is simply a matter of time and “progress” before esoteric conundrums become simple everyday knowledge. Surely this most assured creature could derive an unknown variable to discover the true nature of Butterbean himself. They were both of the mind at this time t(realist) that all the probabilistic nonsense was clearly just a cop out for those ninnies who fancied themselves finished with discovering the universe.
Alas after decades, or maybe days (no one can be sure given that time itself is a construct commonly defined as the duration of 9,192,631,770 periods of the radiation corresponding to the transition between the two hyperfine levels of the ground state of the cesium 133 atom, and who can really say cesium 133 even exists… really), Glad was forced to admit that he could not tell Butterbean of his ontological state prior to Butterbean’s arrival on his doorstep, nor could he possibly without any reference to his own experience as a literalist hippo, and was forced to admit that this coveted obscure variable was beyond his abilities of perception.
With a sense of hopelessness Butterbean sought out the comfort and guidance of Ol’ Trusty, the Wire Stripper. They adventured together for t(hedonist) to t(fundamentalist) without ever committing to any defined notion as after all, how can you find the answer to a paradox, oxymoron much?
However comfort in ignorance becomes unsettling after you’ve had your fun and Butterbean became restless. There was one more known avenue he had not yet travelled…
With a renewed sense of wonder and determination Butterbean approached the Oak, which shook its branches excitedly upon Butterbean’s arrival to see such a valiant seeker of answers. “Oak, what can you tell me about my ontological value?” asked Butterbean humbly. The Oak remained silent, but a slight breeze rustled loose a few leaves from its massive head which fluttered to the ground and landed lightly at Butterbean’s feet, Butterbean faltered and then turned and retreated thoughtfully sensing that the conversation was over.
Upon further consideration over Δt(orthodox) Butterbean understood Oak’s lesson— the leaves could change position through many methods all resulting in different outcomes, however before any leaf falls, it has not fallen. Butterbean had discovered that no matter who or what observes him, there would be an outcome, but it could not be these interactions which defined the whole of himself, surely he must be something inherently like the leaves of Oak’s mane.
One day, a little time later at approximately t(decision), Butterbean decided to venture forth in search of a method of measurement that excluded observation. Knowing that the existence of alligators had long been debated among those with a higher understanding of the nature of things, he knew he should seek within the mind of that which may or may not exist; namely an alligator (though a unicorn or manticore could have sufficed, they are not quite as easy to find nowadays).
Unfortunately all alligators are actually just dead trees and Butterbean had to once again rethink his strategy.
It occurred to Butterbean, after his most recent experiences, that perhaps his disbelief in alligators had caused their value to be null, distracted in hoping that his mind was not quite that powerful Butterbean mistakenly stomped on a daisy which let out a loud squeal, “watch out dummy!” “OH!” replied Butterbean, “Sorry I didn’t see you there, though come to think of it I’m surprised you even exist as I hadn’t yet observed you my friend.” The daisy straightened herself and smoothing out her petals scoffed and said jeeringly, “you think that you are the only one who exists, eh?” “Well,” began Butterbean thoughtfully, “no, but I don’t understand how anything or anyone has any sort of defined nature without something else purposefully interacting with it, after all, how do you know that you exist?” “Oh for goodness sake,” exclaimed young Daisy, “Of course you’ll remain limited as long as you keep collapsing your wave function with all that introspection!” And she turned her face to the sun clearly dismissing Butterbean and all his angsty questions.
Butterbean, with all known theories exhausted, was still unsatisfied and longed to know the mystery of his own nature of being and the recent dismissal of the daisy weighed heavy on his soul. “Why can she be so satisfied just being,” he wondered, “when I spend all of my time dedicated to the mystery and nature of life but still feel so empty and unfulfilled?” And suddenly it struck him! It had been so obvious all along and basically verbatim the retorts he had only just received from the annoyed flower he had trod on, Butterbean ceased to observe himself and existed infinitely in all possible states of being.
A reblog of nerdy and quirky stuff that pique my interest.
291 posts