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katedriscoll

Phantom limb pain: A literature review - 0 views

  • . The purpose of this review article is to summarize recent researches focusing on phantom limb in order to discuss its definition, mechanisms, and treatments.
  • The incidence of phantom limb pain has varied from 2% in earlier records to higher rates today. Initially, patients were less likely to mention pain symptoms than today which is a potential explanation for the discrepancy in incidence rates. However, Sherman et al.4 discuss that only 17% phantom limb complaints were initiated treated by physicians. Consequently, it is important to determine what constitutes phantom pain in order to provide efficacious care. Phantom pain is pain sensation to a limb, organ or other tissue after amputation and/or nerve injury.5 In podiatry, the predominant cause of phantom limb pain is after limb amputation due to diseased state presenting with an unsalvageable limb. Postoperative pain sensations from stump neuroma pain, prosthesis, fibrosis, and residual local tissue inflammation can be similar to phantom limb pain (PLP). Patients with PLP complain of various sensations including burning, stinging, aching, and piercing pain with changing warmth and cold sensation to the amputated area which waxes and wanes.6 Onset of symptoms may be elicited by environmental, emotional, or physical changes.
  • The human body encompasses various neurologic mechanisms allowing reception, transport, recognition, and response to numerous stimuli. Pain, temperature, crude touch, and pressure sensory information are carried to the central nervous system via the anterolateral system, with pain & temperature information transfer via lateral spinothalamic tracts to the parietal lobe. In detail, pain sensation from the lower extremity is transported from a peripheral receptor to a first degree pseudounipolar neurons in the dorsal root ganglion and decussate and ascend to the third-degree neurons within the thalamus.7 This sensory information will finally arrive at the primary sensory cortex in the postcentral gyrus of the parietal lobe which houses the sensory homunculus.8 It is unsurprising that with an amputation that such an intricate highway of information transport to and from the periphery may have the potential for problematic neurologic developments.
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  • How does pain sensation, a protection mechanism for the human body, become chronic and unrelenting after limb loss? This is a question researchers still ask today with no concise conclusion. Phantom limb pain occurs more frequently in patients who also experience longer periods of stump pain and is more likely to subside as the stump pain subsides.9 Researchers have also found dorsal root ganglion cells change after a nerve is completely cut. The dorsal root ganglion cells become more active and sensitive to chemical and mechanical changes with potential for plasticity development at the dorsal horn and other areas.10 At the molecular level, increasing glutamate and NMDA (N-methyl d-aspartate) concentrations correlate to increased sensitivity which contributes to allodynia and hyperalgesia.11 Flor et al.12 further described the significance of maladaptive plasticity and the development of memory for pain and phantom limb pain. They correlated it to the loss of GABAergic inhibition and the development of glutamate induced long-term potentiation changes and structural changes like myelination and axonal sprouting.
  • Phantom limb pain in some patients may gradually disappear over the course of a few months to one year if not treated, but some patients suffer from phantom limb pain for decades. Treatments include pharmacotherapy, adjuvant therapy, and surgical intervention. There are a variety of medications to choose from, which includes tricyclic antidepressants, opioids, and NSAIDs, etc. Among these medications, Tricyclic antidepressant is one of the most common treatments. Studies have shown that Amitriptyline (a tricyclic antidepressant) has a good effect on relieving neuropathic pain.25
  • Phantom limb pain is very common in amputees. As a worldwide issue, it has been studied by a lot of researchers. Although phantom limb sensation has already been described and proposed by French military surgeon Ambroise Pare 500 years ago, there is still no detailed explanation of its mechanisms. Therefore, more research will be needed on the different types of mechanisms of phantom limb pain. Once researchers and physicians are able to identify the mechanism of phantom limb pain, mechanism-based treatment will be rapidly developed. As a result, more patients will be benefit from it in the long run.
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    One of the articles we read mentioned phantom limbs. This article goes more indepth on what a phantom limb is, why it happens and some cures.
knudsenlu

Study: Does Adult Neurogenesis Exist in Humans? - The Atlantic - 0 views

  • In 1928, Santiago Ramón y Cajal, the father of modern neuroscience, proclaimed that the brains of adult humans never make new neurons. “Once development was ended,” he wrote, “the founts of growth and regeneration ... dried up irrevocably. In the adult centers the nerve paths are something fixed, ended and immutable. Everything must die, nothing may be regenerated.”
  • For decades, scientists believed that neurogenesis—the creation of new neurons—whirs along nicely in the brains of embryos and infants, but grinds to a halt by adulthood. But from the 1980s onward, this dogma started to falter. Researchers showed that neurogenesis does occur in the brains of various adult animals, and eventually found signs of newly formed neurons in the adult human brain.
  • Finally, Gage and others say that several other lines of evidence suggest that adult neurogenesis in humans is real. For example, in 1998, he and his colleagues studied the brains of five cancer patients who had been injected with BrdU—a chemical that gets incorporated into newly created DNA. They found traces of this substance in the hippocampus, which they took as a sign that the cells there are dividing and creating new neurons.
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  • Greg Sutherland from the University of Sydney agrees. In 2016, he came to similar conclusions as Alvarez-Buylla’s team, using similar methods. “Depending on your inherent biases, two scientists can look at sparse events in the adult brain and come to different conclusions,” he says. “But when faced with the stark difference between infant and adult human brains, we can only conclude that [neurogenesis] is a vestigial process in the latter.”
  • Alvarez-Buylla agrees that there’s still plenty of work to do. Even if neurogenesis is a fiction in adult humans, it’s real in infants, and in other animals. If we really don’t make any new neurons as adults, how do we learn new things? And is there any way of restoring that lost ability to create new neurons in cases of stroke, Alzheimer’s, or other degenerative diseases? “Neurogenesis is precisely what we want to induce in cases of brain damage,” Alvarez-Buylla says. “If it isn’t there to begin with, how might you induce it?”
knudsenlu

Hawaii: Where Evolution Can Be Surprisingly Predictable - The Atlantic - 0 views

  • Situated around 2,400 miles from the nearest continent, the Hawaiian Islands are about as remote as it’s possible for islands to be. In the last 5 million years, they’ve been repeatedly colonized by far-traveling animals, which then diversified into dozens of new species. Honeycreeper birds, fruit flies, carnivorous caterpillars ... all of these creatures reached Hawaii, and evolved into wondrous arrays of unique forms.
  • The most spectacular of these spider dynasties, Gillespie says, are the stick spiders. They’re so-named because some of them have long, distended abdomens that make them look like twigs. “You only see them at night, walking around the understory very slowly,” Gillespie says. “They’re kind of like sloths.” Murderous sloths, though: Their sluggish movements allow them to sneak up on other spiders and kill them.
  • Gillespie has shown that the gold spiders on Oahu belong to a different species from those on Kauai or Molokai. In fact, they’re more closely related to their brown and white neighbors from Oahu. Time and again, these spiders have arrived on new islands and evolved into new species—but always in one of three basic ways. A gold spider arrives on Oahu, and diversified into gold, brown, and white species. Another gold spider hops across to Maui and again diversified into gold, brown, and white species. “They repeatedly evolve the same forms,” says Gillespie.
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  • Gillespie has seen this same pattern before, among Hawaii’s long-jawed goblin spiders. Each island has its own representatives of the four basic types: green, maroon, small brown, and large brown. At first, Gillespie assumed that all the green species were related to each other. But the spiders’ DNA revealed that the ones that live on the same islands are most closely related, regardless of their colors. They too have hopped from one island to another, radiating into the same four varieties wherever they land.
  • One of the most common misunderstandings about evolution is that it is a random process. Mutations are random, yes, but those mutations then rise and fall in ways that are anything but random. That’s why stick spiders, when they invade a new island, don’t diversify into red species, or zebra-striped ones. The environment of Hawaii sculpts their bodies in a limited number of ways.
  • Gillespie adds that there’s an urgency to this work. For millions of years, islands like Hawaii have acted as crucibles of evolution, allowing living things to replay evolution’s tape in the way that Gould envisaged. But in a much shorter time span, humans have threatened the results of those natural experiments. “The Hawaiian islands are in dire trouble from invasive species, and environmental modifications,” says Gillespie. “And you have all these unknown groups of spiders—entire lineages of really beautiful, charismatic animals, most of which are undescribed.”
johnsonel7

Max Planck Neuroscience on Nautilus: Understanding the Brain with the Help of Artificia... - 0 views

  • Unfortunately, however, little is known about the wiring of the brain. This is due also to a problem of time: tracking down connections in collected data would require man-hours amounting to many lifetimes, as no computer has been able to identify the neural cell contacts reliably enough up to now. Scientists from the Max Planck Institute of Neurobiology in Martinsried plan to change this with the help of artificial intelligence.
  • To be able to use this key, the connectome, that is every single neuron in the brain with its thousands of contacts and partner cells, must be mapped. Only a few years ago, the prospect of achieving this seemed unattainable.
  • The Max Planck scientists led by Jörgen Kornfeld have now overcome this obstacle with the help of artificial neural networks. These algorithms can learn from examples and experience and make generalizations based on this knowledge.
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  • And he has every reason to be delighted, as the newly developed neural networks will relieve neurobiologists of many thousands of hours of monotonous work in the future. As a result, they will also reduce the time needed to decode the connectome and, perhaps also, consciousness, by many years.
sanderk

How your phone affects your health - Insider - 0 views

  • When was the last time you disinfected your phone? According to a 2017 study, high levels of bacterial contamination can be found on the surface of cell phones.
  • Time magazine suggests that your phone could be 10 times dirtier than your toilet seat.
  • Frequently looking down at your phone for extended periods of time puts a strain on your neck
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  • All of your devices emit short wavelength light, known as blue light. A Harvard study claimed that exposure to blue light before bed decreases natural melatonin production, a hormone that regulates sleep. The brightness from your phone screen can interrupt your natural circadian rhythm, and cause for shorter REM cycles and overall restless sleep.
  • With a constant influx of information grabbing your attention, it can put pressure on you to have your phone on you at all times to stay informed. Researchers agreed, telling The Chicago Tribune that the possibility of missing something if you don’t keep your phone nearby can induce a feeling of stress and anxiety. 
  • Remember the blue light? The cornea and lens can’t filter it, so the light goes to the back of the eye, which can weaken vision over time.
  • Though social media can be fun entertainment, it can also open up the door for harmful comparison. Being able to keep up to date with someone else’s success (or pitfalls) invites the opportunity for you to compare your life to theirs. That can invoke a feeling of inadequacy and unhappiness, according to Psychology Today
katherineharron

In race for coronavirus vaccine, hurled insults and the wisdom of Spider-Man - CNN - 0 views

  • Ethicists and physicians are concerned that, amid a desire to put an end to the Covid-19 pandemic, developers of drugs and vaccines have become overly enthusiastic about the chances their products will work.
  • Oxford has recently walked back some of its optimism, but for months, it set a tone that its vaccine was the most promising, without any solid evidence that this was based in fact.
  • Third, one leader in the Oxford team has gone so far as to denigrate other teams trying to get a Covid vaccine on the market, calling their technology "weird" and labeling it as merely "noise." Such name-calling is highly unusual and aggressive among scientists.
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  • "At this point, the Oxford researchers have no idea whether they have something or not," Offit said. "You just get so tired of this 'science by press release.' "
  • There are currently 10 vaccines in human clinical trials worldwide, according to the World Health Organization. Four of the teams are in the United States: Moderna, Pfizer, Inovio and Novavax.
  • Moderna CEO Stéphane Bancel referred to the results as "positive interim Phase 1 data" and that "the Moderna team continues to focus on moving as fast as safely possible to start our pivotal Phase 3 study in July."
  • Moderna is collaborating on its vaccine development with the National Institute of Allergy and Infectious Diseases. Dr. Anthony Fauci, the director of NIAID, said while Moderna's numbers were limited, "it was good news" and he was "cautiously optimistic" about the vaccine.
  • Inovio and Moderna have said they expect their large-scale clinical trials, known as Phase 3 trials, to last around six months. Pfizer hasn't given a timetable for its Phase 3 trial.
  • "I've not seen anyone wrap up a Phase 3 trial in a month to six weeks," said Dr. Saad Omer, a Yale University infectious disease expert who's done clinical trials on polio, pertussis and influenza vaccines. "We need to benchmark this against realistic expectations."
  • "As vaccine researchers like to say, mice lie and monkeys exaggerate," Offit said.
  • One big stumbling block for any vaccine trial is that Covid-19 infection rates in many areas of the world are flattening out or declining.
  • The Oxford vaccine uses what's called an adenovirus vector. Adenoviruses cause the common cold, but in this case, the adenoviruses are weakened and modified to deliver genetic material that codes for a protein from the novel coronavirus. The body then produces that protein and, ideally, develops an immune response to it.
  • "Compared to previous vaccines, this method is more robust, more versatile, and yet, equally efficient," according to the blog, which notes that the Bill & Melinda Gates Foundation invested $53 million in a German biotech company that specializes in RNA vaccines.
  • Inovio's technology uses a brief electrical pulse to deliver plasmids, or small pieces of genetic information, into human cells. Inovio says those cells then produce the vaccine, which leads to an immune response.
  • On April 19, the BBC's Andrew Marr said he asked Gilbert "if it's guaranteed that a workable vaccine can actually be produced."
  • "Nobody can be absolutely sure it's possible. That's why we have to do trials. We have to find out. I think the prospects are very good, but it's clearly not completely certain,"
  • "It certainly worked in monkeys," Oxford's Hill told CNN's Burnett May 15. "That was quite an impressive impact and that was our first try, if you like, with a standard dose, a single dose of vaccine."
  • "I buy that this is a pandemic and we may need to show progress and show steps, and I'm OK with making forecasts if decision makers want that, but do it with a level of uncertainty, because that's what's warranted," said Omer, director of the Yale Institute for Global Health.
  • "Now researchers can't wait to step out to the microphone -- and there are so many microphones out there -- to say, 'I've got it! This looks really good!' " Offit said.
manhefnawi

Just one night of poor sleep can boost Alzheimer's proteins | Science News - 0 views

  • Healthy adults built up Alzheimer’s-associated proteins in their cerebral spinal fluid when prevented from getting slow-wave sleep, the deepest stage of sleep, researchers report July 10 in Brain. Just one night of deep-sleep disruption was enough to increase the amount of amyloid-beta, a protein that clumps into brain cell‒killing plaques in people with Alzheimer’s. People in the study who slept poorly for a week also had more of a protein called tau in their spinal fluid than they did when well rested. Tau snarls itself into tangles inside brain cells of people with the disease.
manhefnawi

Adult brains don't grow new neurons in hippocampus, study suggests | Science News - 0 views

  • In stark contrast to earlier findings, adults do not produce new nerve cells in a brain area important to memory and navigation, scientists conclude after scrutinizing 54 human brains spanning the age spectrum.
manhefnawi

Cilia in the brain may be busier than previously thought | Science News - 0 views

  • Nerve cells in the brain make elaborate connections and exchange lightning-quick messages that captivate scientists. But these cells also sport simpler, hairlike protrusions called cilia. Long overlooked, the little stubs may actually have big jobs in the brain.
Javier E

Metabolism peaks at age one and tanks after 60, study finds - BBC News - 0 views

  • Ripped musclesThe metabolism is every drop of chemistry needed to keep the body going. And the bigger the body - whether that is ripped muscles or too much belly fat - the more energy it will take to run.
  • The study, published in the journal Science, found four phases of metabolic life:birth to age one, when the metabolism shifts from being the same as the mother's to a lifetime high 50% above that of adults a gentle slowdown until the age of 20, with no spike during all the changes of pubertyno change at all between the ages of 20 and 60a permanent decline, with yearly falls that, by 90, leave metabolism 26% lower than in mid-life
  • Other surprises came from what the study did not find. There was no metabolic surge during either puberty or pregnancy and no slowdown around the menopause.
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  • "When people talk about metabolism, they think diet and exercise - but it is deeper than that, we are actually watching your body, your cells, at work," Prof Herman Pontzer, from Duke University, told BBC News."They are incredibly busy at one year old and when we see declines with age, we are seeing your cells stopping working."
  • Prof Tom Sanders, from King's College London, said: "Interestingly, they found very little differences in total energy expenditure between early adult life and middle age - a time when most adults in developed countries put on weight. "These findings would support the view that the obesity epidemic is fuelled by excess food energy intake and not a decline in energy expenditure."
Emily Horwitz

Scientists Make Progress in Tailor-Made Organs - NYTimes.com - 0 views

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    An intriguing article about a more bioethically non-controversial way of reconstructing damaged organs in the body.
Javier E

Kenneth Rogoff, Carmen Reinhart and the World Excel Error Research | New Republic - 0 views

  • "This type of stuff probably happens all the time. What's unusual here is that someone checked it," says Ray Panko, a professor at the University of Hawaii and the elder statesman of small coterie of research academics who study—yes—Excel errors. Panko's meta-analysis of several such studies, he claims, indicates that 84 percent of spreadsheets contain some kind of materially significant error.
  • There are ample anecdotes to support Panko and Powell's claims
  •  In 2012, JP Morgan discovered that it had been grossly miscalculating a risk-management measure—possibly for years—due to a mischievous Excel formula.
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  • Last summer, Olympics ticketholders were baffled when the London 2012 Olympic Games committee oversold the synchronized swimming event by thousands of tickets--a hapless clerk had entered "20,000" instead of "10,000" in a spreadsheet cell.
  • A year prior, the town of Framingham, Massachusetts, announced that it would request $600,000 in state aid to cover a budget shortfall caused by miscalculating "monstrous spreadsheets.
Emily Horwitz

Nature Has A Formula That Tells Us When It's Time To Die : Krulwich Wonders... : NPR - 1 views

  • Every living thing is a pulse. We quicken, then we fade. There is a deep beauty in this, but deeper down, inside every plant, every leaf, inside every living thing (us included) sits a secret.
  • Everything alive will eventually die, we know that, but now we can read the pattern and see death coming. We have recently learned its logic, which "You can put into mathematics," says physicist Geoffrey West. It shows up with "extraordinary regularity," not just in plants, but in all animals, from slugs to giraffes. Death, it seems, is intimately related to size.
  • Life is short for small creatures, longer in big ones.
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  • A 2007 paper checked 700 different kinds of plants, and almost every time they applied the formula, it correctly predicted lifespan. "This is universal. It cuts across the design of organisms," West says. "It applies to me, all mammals, and the trees sitting out there, even though we're completely different designs."
  • The formula is a simple quarter-power exercise: You take the mass of a plant or an animal, and its metabolic rate is equal to its mass taken to the three-fourths power.
  • It's hard to believe that creatures as different as jellyfish and cheetahs, daisies and bats, are governed by the same mathematical logic, but size seems to predict lifespan.
  • It tells animals for example, that there's a universal limit to life, that though they come in different sizes, they have roughly a billion and a half heart beats; elephant hearts beat slowly, hummingbird hearts beat fast, but when your count is up, you are over.
  • In any big creature, animal or plant, there are so many more pathways, moving parts, so much more work to do, the big guys could wear out very quickly. So Geoffrey West and his colleagues found that nature gives larger creatures a gift: more efficient cells. Literally.
Javier E

Noam Chomsky on Where Artificial Intelligence Went Wrong - Yarden Katz - The Atlantic - 0 views

  • If you take a look at the progress of science, the sciences are kind of a continuum, but they're broken up into fields. The greatest progress is in the sciences that study the simplest systems. So take, say physics -- greatest progress there. But one of the reasons is that the physicists have an advantage that no other branch of sciences has. If something gets too complicated, they hand it to someone else.
  • If a molecule is too big, you give it to the chemists. The chemists, for them, if the molecule is too big or the system gets too big, you give it to the biologists. And if it gets too big for them, they give it to the psychologists, and finally it ends up in the hands of the literary critic, and so on.
  • neuroscience for the last couple hundred years has been on the wrong track. There's a fairly recent book by a very good cognitive neuroscientist, Randy Gallistel and King, arguing -- in my view, plausibly -- that neuroscience developed kind of enthralled to associationism and related views of the way humans and animals work. And as a result they've been looking for things that have the properties of associationist psychology.
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  • in general what he argues is that if you take a look at animal cognition, human too, it's computational systems. Therefore, you want to look the units of computation. Think about a Turing machine, say, which is the simplest form of computation, you have to find units that have properties like "read", "write" and "address." That's the minimal computational unit, so you got to look in the brain for those. You're never going to find them if you look for strengthening of synaptic connections or field properties, and so on. You've got to start by looking for what's there and what's working and you see that from Marr's highest level.
  • it's basically in the spirit of Marr's analysis. So when you're studying vision, he argues, you first ask what kind of computational tasks is the visual system carrying out. And then you look for an algorithm that might carry out those computations and finally you search for mechanisms of the kind that would make the algorithm work. Otherwise, you may never find anything.
  • "Good Old Fashioned AI," as it's labeled now, made strong use of formalisms in the tradition of Gottlob Frege and Bertrand Russell, mathematical logic for example, or derivatives of it, like nonmonotonic reasoning and so on. It's interesting from a history of science perspective that even very recently, these approaches have been almost wiped out from the mainstream and have been largely replaced -- in the field that calls itself AI now -- by probabilistic and statistical models. My question is, what do you think explains that shift and is it a step in the right direction?
  • AI and robotics got to the point where you could actually do things that were useful, so it turned to the practical applications and somewhat, maybe not abandoned, but put to the side, the more fundamental scientific questions, just caught up in the success of the technology and achieving specific goals.
  • The approximating unanalyzed data kind is sort of a new approach, not totally, there's things like it in the past. It's basically a new approach that has been accelerated by the existence of massive memories, very rapid processing, which enables you to do things like this that you couldn't have done by hand. But I think, myself, that it is leading subjects like computational cognitive science into a direction of maybe some practical applicability... ..in engineering? Chomsky: ...But away from understanding.
  • I was very skeptical about the original work. I thought it was first of all way too optimistic, it was assuming you could achieve things that required real understanding of systems that were barely understood, and you just can't get to that understanding by throwing a complicated machine at it.
  • if success is defined as getting a fair approximation to a mass of chaotic unanalyzed data, then it's way better to do it this way than to do it the way the physicists do, you know, no thought experiments about frictionless planes and so on and so forth. But you won't get the kind of understanding that the sciences have always been aimed at -- what you'll get at is an approximation to what's happening.
  • Suppose you want to predict tomorrow's weather. One way to do it is okay I'll get my statistical priors, if you like, there's a high probability that tomorrow's weather here will be the same as it was yesterday in Cleveland, so I'll stick that in, and where the sun is will have some effect, so I'll stick that in, and you get a bunch of assumptions like that, you run the experiment, you look at it over and over again, you correct it by Bayesian methods, you get better priors. You get a pretty good approximation of what tomorrow's weather is going to be. That's not what meteorologists do -- they want to understand how it's working. And these are just two different concepts of what success means, of what achievement is.
  • if you get more and more data, and better and better statistics, you can get a better and better approximation to some immense corpus of text, like everything in The Wall Street Journal archives -- but you learn nothing about the language.
  • the right approach, is to try to see if you can understand what the fundamental principles are that deal with the core properties, and recognize that in the actual usage, there's going to be a thousand other variables intervening -- kind of like what's happening outside the window, and you'll sort of tack those on later on if you want better approximations, that's a different approach.
  • take a concrete example of a new field in neuroscience, called Connectomics, where the goal is to find the wiring diagram of very complex organisms, find the connectivity of all the neurons in say human cerebral cortex, or mouse cortex. This approach was criticized by Sidney Brenner, who in many ways is [historically] one of the originators of the approach. Advocates of this field don't stop to ask if the wiring diagram is the right level of abstraction -- maybe it's no
  • if you went to MIT in the 1960s, or now, it's completely different. No matter what engineering field you're in, you learn the same basic science and mathematics. And then maybe you learn a little bit about how to apply it. But that's a very different approach. And it resulted maybe from the fact that really for the first time in history, the basic sciences, like physics, had something really to tell engineers. And besides, technologies began to change very fast, so not very much point in learning the technologies of today if it's going to be different 10 years from now. So you have to learn the fundamental science that's going to be applicable to whatever comes along next. And the same thing pretty much happened in medicine.
  • that's the kind of transition from something like an art, that you learn how to practice -- an analog would be trying to match some data that you don't understand, in some fashion, maybe building something that will work -- to science, what happened in the modern period, roughly Galilean science.
  • it turns out that there actually are neural circuits which are reacting to particular kinds of rhythm, which happen to show up in language, like syllable length and so on. And there's some evidence that that's one of the first things that the infant brain is seeking -- rhythmic structures. And going back to Gallistel and Marr, its got some computational system inside which is saying "okay, here's what I do with these things" and say, by nine months, the typical infant has rejected -- eliminated from its repertoire -- the phonetic distinctions that aren't used in its own language.
  • people like Shimon Ullman discovered some pretty remarkable things like the rigidity principle. You're not going to find that by statistical analysis of data. But he did find it by carefully designed experiments. Then you look for the neurophysiology, and see if you can find something there that carries out these computations. I think it's the same in language, the same in studying our arithmetical capacity, planning, almost anything you look at. Just trying to deal with the unanalyzed chaotic data is unlikely to get you anywhere, just like as it wouldn't have gotten Galileo anywhere.
  • with regard to cognitive science, we're kind of pre-Galilean, just beginning to open up the subject
  • You can invent a world -- I don't think it's our world -- but you can invent a world in which nothing happens except random changes in objects and selection on the basis of external forces. I don't think that's the way our world works, I don't think it's the way any biologist thinks it is. There are all kind of ways in which natural law imposes channels within which selection can take place, and some things can happen and other things don't happen. Plenty of things that go on in the biology in organisms aren't like this. So take the first step, meiosis. Why do cells split into spheres and not cubes? It's not random mutation and natural selection; it's a law of physics. There's no reason to think that laws of physics stop there, they work all the way through. Well, they constrain the biology, sure. Chomsky: Okay, well then it's not just random mutation and selection. It's random mutation, selection, and everything that matters, like laws of physics.
  • What I think is valuable is the history of science. I think we learn a lot of things from the history of science that can be very valuable to the emerging sciences. Particularly when we realize that in say, the emerging cognitive sciences, we really are in a kind of pre-Galilean stage. We don't know wh
  • at we're looking for anymore than Galileo did, and there's a lot to learn from that.
Javier E

Nate Silver, Artist of Uncertainty - 0 views

  • In 2008, Nate Silver correctly predicted the results of all 35 Senate races and the presidential results in 49 out of 50 states. Since then, his website, fivethirtyeight.com (now central to The New York Times’s political coverage), has become an essential source of rigorous, objective analysis of voter surveys to predict the Electoral College outcome of presidential campaigns. 
  • Political junkies, activists, strategists, and journalists will gain a deeper and more sobering sense of Silver’s methods in The Signal and the Noise: Why So Many Predictions Fail—But Some Don’t (Penguin Press). A brilliant analysis of forecasting in finance, geology, politics, sports, weather, and other domains, Silver’s book is also an original fusion of cognitive psychology and modern statistical theory.
  • Its most important message is that the first step toward improving our predictions is learning how to live with uncertainty.
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  • he blends the best of modern statistical analysis with research on cognition biases pioneered by Princeton psychologist and Nobel laureate in economics  Daniel Kahneman and the late Stanford psychologist Amos Tversky. 
  • Silver’s background in sports and poker turns out to be invaluable. Successful analysts in gambling and sports are different from fans and partisans—far more aware that “sure things” are likely to be illusions,
  • The second step is starting to understand why it is that big data, super computers, and mathematical sophistication haven’t made us better at separating signals (information with true predictive value) from noise (misleading information). 
  • One of the biggest problems we have in separating signal from noise is that when we look too hard for certainty that isn’t there, we often end up attracted to noise, either because it is more prominent or because it confirms what we would like to believe.
  • In discipline after discipline, Silver shows in his book that when you look at even the best single forecast, the average of all independent forecasts is 15 to 20 percent more accurate. 
  • Silver has taken the next major step: constantly incorporating both state polls and national polls into Bayesian models that also incorporate economic data.
  • Silver explains why we will be misled if we only consider significance tests—i.e., statements that the margin of error for the results is, for example, plus or minus four points, meaning there is one chance in 20 that the percentages reported are off by more than four. Calculations like these assume the only source of error is sampling error—the irreducible error—while ignoring errors attributable to house effects, like the proportion of cell-phone users, one of the complex set of assumptions every pollster must make about who will actually vote. In other words, such an approach ignores context in order to avoid having to justify and defend judgments. 
oliviaodon

Are Diet Pills an Aggressively Marketed Scam? | Huffington Post - 1 views

  • occasionally lured by the promises of effortless slimming
  • Dr.-Oz-endorsed Garcinia Cambogia pills are languishing in his kitchen cupboard - because they don’t seem to work. Bruni applauds the recent interest in fighting aggressively marketed junk-that-makes-us-fat, and wants to remind us that we should also pay attention to aggressively marketed pills
  • most of the supplements marketed as fat burners have little or no science to support their claims
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  • The ever increasing list of fat-burning supplements is industry driven, and is likely to grow at a rate that is not and cannot be matched by similar increase in scientific underpinning.
  • In other words, marketers are quick to announce miracle solutions based of the flimsiest of evidence collected on a few lab mice or a cell culture.
  • Health claims were introduced in 1994, have been so miserably abused and have become so utterly misleading that it’s just time to say goodbye.
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    This article relates to knowledge claims that take advantage of one's time and money. 
katieb0305

Your happiness type matters - CNN.com - 0 views

  • You feel happiness all the way down to your genes, scientists say. But the kind of happiness you're feeling matters, as different kinds can have wildly different effects on your physical well-being.
  • he happiness you get from instant gratification -- eating that giant cupcake or buying that fabulous pair of shoes -- may have the same physical impact on your genes as depression or stress,
  • The experts divide well-being into two different types: hedonic and eudaimonic. These are fancy words to describe happiness that comes from two different sources.
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  • Hedonic well-being comes from an experience a person seeks out that gives them pleasure.
  • Eudaimonic well-being is a kind of happiness that comes not from consuming something but from a sustained effort at working toward something bigger than you.
  • they can and do influence each other, so it has been hard for scientists to measure which kind has had a greater positive influence on someone's physical or psychological well-being.
  • there is an increased expression of genes involved in inflammation and a decreased antiviral response. People who are subjected to long periods of stress have white blood cells that make slightly more pro-inflammatory proteins on a constant basis.
  • Bottom line? Happiness that comes from working for the greater good has a much more positive genetic impact.
  • The people who found happiness by pursuing a greater good had a lower level of this inflammatory gene expression and strong antiviral and antibody gene expression.
Megan Flanagan

Paris ringleader directed killers in Bataclan theater - CNN.com - 0 views

  • ringleader of the Paris attacks last month appears to have directed the three terrorists inside the Bataclan theater by phone from a few blocks away,
  • Abdelhamid Abaaoud standing in a doorway yelling into his phone for about an hour.
  • Abaaoud's head was shaved and he was wearing layers of loose clothing, but when photographs were later published in the media the witness immediately recognized him and alerted the authorities.
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  • "the presence of Abaaoud in the immediate vicinity of the attacks provides an indication of his degree of implication in the supervision and control of the plot, and suggests he was giving direct orders and instructions to his team inside the Bataclan."
  • right until the moment the three suicide bombers at the Stade de France started blowing themselves up.
  • Abaaoud's phone was geo-located in the vicinity of the attacks between 10:28pm and 12:28am that night, inlcuding in proximity to the Bataclan before the attack was over.
  • Abaaoud had previously appeared in videos produced by ISIS
  • He was killed five days later when police raided an apartment in the Paris district of St. Denis
  • Salah Abdeslam, who drove three of the suicide bombers to the Stade de France, is still being sought.
  • Abdeslam and Abaaoud are believed to have planned and co-ordinated the attacks. Abdeslam had made several trips between the French and Belgian capitals in September and October, and he had also traveled to Italy, Hungary and Austria.
  • Paris attacks have focused attention on the substantial French contingent within ISIS
  • Fabien Clain -- who is now thought to be a senior figure within ISIS according to Brisard.
  • "More than 2,000 French citizens and residents are involved in Syrian and Iraqi jihadi networks. Among them, 600 are believed to be fighting alongside terrorist organizations abroad and 250 are believed to have returned," he says.
  • Abaaoud had been in contact with that group by cell phone from Greece, according to investigators.
  • rench foreign fighter told investigators he had attended a training camp for a week in Raqqa, ISIS' headquarters in Syria, before being told by Abaaoud to launch an attack
  • "Abaaoud had provided him a USB stick containing encryption software and 2,000 euros,"
  • Paris attacks "demonstrated major failures in European border control policy and the exchange of information between European Union member states.
sissij

Your Dog Remembers More Than You Think - The New York Times - 0 views

  • In people it is called episodic memory, and it involves a sense of self. In animals, it’s called episodic-like memory, because it’s difficult to try to plumb something as elusive as self without the aid of language.
  • Dr. Fugazza and colleagues reported online in Current Biology that this showed that the dogs remembered an event they hadn’t been concentrating on, the trainer’s action. She said one aspect strengthened that conclusion: The dogs tended to lie down immediately when they got back to the mat, suggesting that their heads were in “lie down” mode, not “do it” mode.
  • He said human episodic memory is lost in Alzheimer’s disease and he and others study animal memory in hopes of learning how to combat that loss. The work on dogs offers a new technique that could be very useful, he said.
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    I found this experiment very interesting because it shows some aspect of how animals memory works. The result can be used to see how memory work without language. I think language and memory have an intertwined relationship because sometimes I can feel that the information stored in my brain is in language rather than abstract form such as knowledge. For example, my memory of chemistry knowledge is stored in English, so when I am reading a chemistry related book in Chinese, I would usually get lost because there aren't any vocals on Chemistry in Chinese in my memory. It would be a very interesting question to consider that how our memory will construct if we don't have a language. There is a kind of mental disease called "aphasia", meaning the loss of ability to understand language. How do they remember things when they lose the ability to assign meanings and communicate? --Sissi (11/24/2016)
sissij

Why Killer Whales Go Through Menopause - The New York Times - 0 views

  • A new study on killer whales, published on Thursday in Current Biology, suggests reproductive conflict between mothers and daughters may have played an important role in the evolution of menopause.
  • Yet they can live to be more than 90, meaning they might spend up to two-thirds of their lives not birthing any offspring.
  • But the unique demography of killer whale social groups may motivate younger females to invest more competitive effort into reproduction
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  • But older females who have more offspring, and thus share more of the group’s genes, are more likely to cooperate by sharing food and knowledge.
  • She believes the primary reason women live so long after menopause is because they help improve the survival of grandchildren, which helps pass their own genes on.
  • To him, that’s where reproductive conflict comes in. “You have to not only look at the gains, but the costs you would suffer if you continue to breed.”
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    From the TOK class, we learned that the paradigm for biology is Darwin's theory of evolution. From this article, I can clearly see that the hypothesis and reasoning made to explain why killer whales have menopause are all depending on the premise that they are having it for good and necessity. The debate over whether the grandmother hypothesis sounds is still going through vigorous discussion within the scientist community. --Sissi (1/13/2017)
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