Complexity Digest 2001.17

23-Apr-2001

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Content

  1. Towards A General Theory Of Biodiversity, Nature
  2. Approaching Biology From a Different Angle, NYTimes
  3. Social Sciences: Too Soon For A Requiem, worldlink
  4. Emerging Infectious Diseases From The Global To The Local Perspective, Natl Acad Of Sciences
  5. Elephant Matriarchs Tell Friend From Foe, Science
    1. Matriarchs As Repositories of Social Knowledge in African Elephants, Science
  6. Quantifying Herding During Speculative Financial Bubbles, arXiv
  7. Representation of Acoustic Communication Signals by Insect Auditory Receptor Neurons, J. Neurosci.
  8. Mother Is Just Another Face In The Crowd To Autistic Children, Science Daily
    1. Early Visual Experience And Face Processing, Nature
  9. Neuronal Clusters in the Primate Motor Cortex During Interception of Moving Targets, J. Cogn. Neurosci.
  10. Can Medial Temporal Lobe Regions Distinguish True From False?, PNAS
  11. Mechanisms Of Migraine Aura Revealed By Functional MRI In Human Visual Cortex, PNAS
  12. In Search Of God, New Scientist
  13. Who's Got Pull Around Here? Cell Organization In Development And Tissue Engineering, PNAS
  14. The Advantages of Togetherness, Science
    1. Cooperation and Competition in the Evolution of ATP-Producing Pathways, Science
  15. Molecule That Guides Nerve Cells Also Directs Immune Cells, Science Daily
    1. The Neuronal Repellent Slit Inhibits Leukocyte Chemotaxis, Nature
  16. Combinatorial Landscapes, SFI Working Papers
  17. Quantum Solutions to Difficult Problems, Science
    1. A Quantum Adiabatic Evolution Algorithm Applied to an NP-Complete Problem, Science
  18. Inescapably Connected: Life in the Wireless Age, NYTimes
    1. Making HAL Your Pal, Wired News
  19. Shelf Life: Discovering Dimensions Beyond Imagining, Nytimes
  20. Links & Snippets
    1. Pub Alert
  1. Towards A General Theory Of Biodiversity, Nature Next Article Bookmark and Share

    Excerpt: Here we show that an understanding of the observed form of the relative abundance distribution requires a consideration of how individuals pack in time. We present a framework for studying the dynamics of communities which generalizes the prevailing species-based approach to one based on individuals that are characterized by their physiological traits. The observed form of the abundance distribution and its dependence on richness and disturbance are reproduced, and can be understood in terms of the trade-off between time to reproduction and fecundity.

  2. Approaching Biology From a Different Angle, NYTimes Next Article Bookmark and Share

    Excerpt: Systems biology is a loosely defined term, but the main idea is that biology is an information science, with genes a sort of digital code. Moreover, while much of molecular biology has involved studying a single gene or protein in depth, systems biology looks at the bigger picture, how all the genes and proteins interact. Ultimately the goal is to develop computer models that can predict the behavior of cells or organisms, much as Boeing can simulate how a plane will fly(…).

  3. Social Sciences: Too Soon For A Requiem, worldlink Next Article Bookmark and Share

    Excerpts: The social sciences have mattered on issues that matter. Observers used to fear that, with longer life spans, the world would become horrendously overpopulated. However, demographic studies document a negative correlation between development of a society and its fertility rates. Indeed, the single greatest influence on fertility rates is the educational level of the mother.

    In another area, societies have for centuries been wracked by unexpected dips and rises in the marketplace as well as occasional panics and depressions. While it is too soon to conclude that the business cycle is behind us, monetary and fiscal policy have become powerful tools in the regulation of economies around the world. On yet another front, societies make use of sampling tools to establish a total census – as well as the changing proportions of different subpopulations – and these data prove indispensable in making decisions about political representation, distribution of resources and the mix of cultures within a jurisdiction. The most intelligent of artificial intelligence systems draw upon a careful investigation of "in vivo" human problem-solving. (...)

    Finally, there is the possibility of a creative breakthrough. In the 1950s Noam Chomsky, then a graduate student in linguistics, undertook a study of the morphophonemics of the Hebrew language. In the process of trying to understand sounds and grammar, Chomsky hit upon a way of studying language on a scientific basis. Put briefly, Chomsky discerned structural regularities in human language and explained how these could be generated via a few basic rules. Moreover, he argued persuasively that the human language faculty is essentially innate.

    Not only did the field of linguistics change irrevocably, but Chomsky’s rigorous approach to the analysis of grammar exerted influence on fields ranging from philosophy to literary analysis, with a particularly dramatic effect on the study of human psychology. Indeed, it is hardly an exaggeration to say that, working pretty much on his own, Chomsky arrived at a conceptual breakthrough that has placed the study of language and related topics on a far firmer scientific basis.

    One cannot count on a Chomsky – or Sigmund Freud or Herbert Simon or Margaret Mead – to appear in any given decade. On the other hand, intellectual history virtually guarantees that, on occasion, thinkers arise and produce conceptual or methodological breakthroughs that breathe new life into the field. Should that happen in the coming years, the full potential of the social sciences may yet be realised.


  4. Emerging Infectious Diseases From The Global To The Local Perspective, Natl Acad Of Sciences Next Article Bookmark and Share

    Abstract: At a recent workshop titled, "International Aspects of Emerging Infections,"representatives from the Americas, Africa, Europe, Asia and the Pacific explored the forces that drive emerging infectious diseases to prominence. Their discussions included:
    • trends in the incidence of infectious diseases around the world,
    • descriptions of the wide variety of factors that contribute to theemergence and reemergence of these diseases,
    • efforts to coordinate surveillance activities and responses within and across borders,
    • and the resource, research, and international needs that remain to be addressed

  5. Elephant Matriarchs Tell Friend From Foe, Science Next Article Bookmark and Share

    Abstract: New research reported on page 491 shows that the lifetime experience of an elephant matriarch helps her group discriminate friend from foe and contributes in many other important ways to the well-being of her companions. Not only could the work be applicable to other animals that live in similar types of social groups, but it could have profound implications for conservation, as the loss of a matriarch could have a negative impact on the rest of the group.

    Excerpt: Despite widespread interest in the evolution of social intelligence, little is known about how wild animals acquire and store information about social companions or whether individuals possessing enhanced social knowledge derive biological fitness benefits. Using playback experiments on African elephants (Loxodonta africana), we demonstrated that the possession of enhanced discriminatory abilities by the oldest individual in a group can influence the social knowledge of the group as a whole. (…) may result in higher per capita reproductive success for female groups led by older individuals.


    1. Matriarchs As Repositories of Social Knowledge in African Elephants, Science Next Article Bookmark and Share

      Abstract: Economic structures and financial markets are among the most studied examples of complex systems, together with biological and geological networks, which are characterized by the self-organization of macroscopic ``emergent' properties. One such remarkable behavior is the occurrence of intermittent accelerated self-reinforcing behavior, such as in the maturation of the mother-fetus complex culminating in parturition, in the observed accelerated seismicity ending in a great earthquake, in positive-feedbacks in technology (Betamax versus VHS video standards) or in the herding of speculators preceeding crashes. Keeping a basic tenet of economic theory, rational expectations, we model the nonlinear positive feedback between agents as an interplay between nonlinearity and multiplicative noise. The derived hyperbolic stochastic finite-time singularity formula transforms a Gaussian white noise into a rich time series possessing all the stylized facts of empirical prices and more, i.e., no correlation of returns, long-range correlation of volatilities, fat-tail of return distributions, apparent multifractality, sharp peak-flat trough pattern of price peaks as well as accelerated speculative bubbles preceding crashes. We use the formula to invert the two years of price history prior to the recent crash on the Nasdaq (april 2000) and prior to the crash in the Hong Kong market associated with the Asian crisis in early 1994. These complex price dynamics are captured using only one exponent controlling the explosion, the variance and mean of the underlying random walk. This offers a new and powerful detection tool of speculative bubbles and herding behavior.

  6. Quantifying Herding During Speculative Financial Bubbles, arXiv Next Article Bookmark and Share

    Abstract: Despite their simple auditory systems, some insect species recognize certain temporal aspects of acoustic stimuli with an acuity equal to that of vertebrates; however, the underlying neural mechanisms and coding schemes are only partially understood. In this study, we analyze the response characteristics of the peripheral auditory system of grasshoppers with special emphasis on the representation of species-specific communication signals. We use both natural calling songs and artificial random stimuli designed to focus on two low-order statistical properties of the songs: their typical time scales and the distribution of their modulation amplitudes.

    Based on stimulus reconstruction techniques and quantified within an information-theoretic framework, our data show that artificial stimuli with typical time scales of >40 msec can be read from single spike trains with high accuracy. Faster stimulus variations can be reconstructed only for behaviorally relevant amplitude distributions. The highest rates of information transmission (180 bits/sec) and the highest coding efficiencies (40%) are obtained for stimuli that capture both the time scales and amplitude distributions of natural songs.

    Use of multiple spike trains significantly improves the reconstruction of stimuli that vary on time scales <40 msec or feature amplitude distributions as occur when several grasshopper songs overlap. Signal-to-noise ratios obtained from the reconstructions of natural songs do not exceed those obtained from artificial stimuli with the same low-order statistical properties. We conclude that auditory receptor neurons are optimized to extract both the time scales and the amplitude distribution of natural songs. They are not optimized, however, to extract higher-order statistical properties of the song-specific rhythmic patterns.


  7. Representation of Acoustic Communication Signals by Insect Auditory Receptor Neurons, J. Neurosci. Next Article Bookmark and Share

    Excerpts: Unlike normally developing and mentally retarded children, autistic 3- and 4-year-olds do not react to a picture of their mother but do react when they see a picture of a familiar toy, a University of Washington psychologist has found. (…)

    "We know that even newborn babies are drawn to face-like stimuli. This inborn interest in faces is the start of social development," she said. "This new study tells us something very fundamental about abnormalities in autism. It may be an important clue to actual brain circuits that are not functioning properly. Since all of the children in the study reacted similarly to toys and only the children with autism had problems with face recognition, it tell us autism is not a global problem. Rather, it indicates an abnormality in those brain circuits responsible for social function. It highlights that autism is a disorder of the social brain." Dawson said the idea that face recognition may be hard-wired, or something people are born with, is controversial.

    "Just as with language, the brain comes with a readiness to recognize faces. But it also requires experience. With autism there may be some other reason why children don't pay attention to faces. They may not find it rewarding, and then that part of their brain does not develop further."

    The region of the brain that appears to be specifically devoted to face recognition is the right fusiform gyrus, located in the temporal lobe, according to Dawson.

    To learn how the brain operates, Dawson used a device called a geodesic net that looks like a hairnet and fits over the head. It records electrical brain impulses from 64 places on a child's scalp. Similar devices for adults record data from 128 locations. Dawson's study involved 34 children with autism, 21 normally developing children and 17 with mental retardation but no autism. Some autistic children also are mentally retarded.

    Each of the children was shown two sets of images - faces and objects - about 50 times. First they were shown digitized photos of their mother or a stranger. Then they were shown digitized photos of a favorite or an unfamiliar toy. The net measured brain activity half a second after each image was shown and picked up the specific brain signal to that stimulus.

    Earlier research has shown that normally developing children as young as 6 months old show different brain activity when they see their mother and when they see a stranger. Dawson's research revealed a similar pattern among normal and mentally retarded 3- and 4-year-old children, but the autistic children failed to recognize their mother. However, all three groups exhibited similar reactions when they saw images of a favorite toy versus an unfamiliar one. She believes the ability to recognize faces may turn out to be a key tool in identifying children with autism. Previous research by Dawson has shown that a child's failure to look at faces at age 1 is the best predictor of autism.

    "Today we can reliably identify autism in children at age 2, but it is difficult to identify babies with autism," she said. "What usually catches parents' attention around 12 months is that their child is not picking up language. Parents are also especially sensitive to picking up autism symptoms in a younger sibling. Siblings of children with autism have 1-in-20 odds of having autism."


  8. Mother Is Just Another Face In The Crowd To Autistic Children, Science Daily Next Article Bookmark and Share

    Excerpts: Adult-like expertise in processing face information takes years to develop (…). Here we show that deprivation of patterned visual input from birth until 2-6 months of age results in permanent deficits in configural face processing. Even after more than nine years' recovery, patients treated for bilateral congenital cataracts were severely impaired at differentiating faces that differed only in the spacing of their features, but were normal in distinguishing those varying only in the shape of individual features.

    1. Early Visual Experience And Face Processing, Nature Next Article Bookmark and Share

      Abstract: Two rhesus monkeys were trained to intercept a moving target at a fixed location with a feedback cursor controlled by a 2-D manipulandum. The direction from which the target appeared, the time from the target onset to its arrival at the interception point, and the target acceleration were randomized for each trial, thus requiring the animal to adjust its movement according to the visual input on a trial-by-trial basis. The two animals adopted different strategies, similar to those identified previously in human subjects. Single-cell activity was recorded from the arm area of the primary motor cortex in these two animals, and the neurons were classified based on the temporal patterns in their activity, using a nonhierarchical cluster analysis. Results of this analysis revealed differences in the complexity and diversity of motor cortical activity between the two animals that paralleled those of behavioral strategies. Most clusters displayed activity closely related to the kinematics of hand movements. In addition, some clusters displayed patterns of activation that conveyed additional information necessary for successful performance of the task, such as the initial target velocity and the interval between successive submovements, suggesting that such information is represented in selective subpopulations of neurons in the primary motor cortex. These results also suggest that conversion of information about target motion into movement-related signals takes place in a broad network of cortical areas including the primary motor cortex.

  9. Neuronal Clusters in the Primate Motor Cortex During Interception of Moving Targets, J. Cogn. Neurosci. Next Article Bookmark and Share

    Excerpt: To investigate the types of memory traces recovered by the medial temporal lobe (MTL), neural activity during veridical and illusory recognition was measured with the use of (...) fMRI. (…) whereas the hippocampus was similarly activated for True and False items, suggesting the recovery of semantic information, the parahippocampal gyrus was more activated for True than for False items, suggesting the recovery of perceptual information. (…) the results suggest that activity in anterior MTL regions does not distinguish True from False, whereas activity in posterior MTL regions does.

  10. Can Medial Temporal Lobe Regions Distinguish True From False?, PNAS Next Article Bookmark and Share

    Abstract: Cortical spreading depression (CSD) has been suggested to underlie migraine visual aura. However, it has been challenging to test this hypothesis in human cerebral cortex. Using high-field functional MRI with near-continuous recording during visual aura in three subjects, we observed blood oxygenation level-dependent (BOLD) signal changes that demonstrated at least eight characteristics of CSD, time-locked to percept/onset of the aura. Initially, a focal increase in BOLD signal (possibly reflecting vasodilation), developed within extrastriate cortex (area V3A). This BOLD change progressed contiguously and slowly (3.5 ± 1.1 mm/min) over occipital cortex, congruent with the retinotopy of the visual percept. Following the same retinotopic progression, the BOLD signal then diminished (possibly reflecting vasoconstriction after the initial vasodilation), as did the BOLD response to visual activation. During periods with no visual stimulation, but while the subject was experiencing scintillations, BOLD signal followed the retinotopic progression of the visual percept. These data strongly suggest that an electrophysiological event such as CSD generates the aura in human visual cortex.

  11. Mechanisms Of Migraine Aura Revealed By Functional MRI In Human Visual Cortex, PNAS Next Article Bookmark and Share

    Excerpts: During meditation, part of the parietal lobe, towards the top and rear of the brain, was much less active than when the volunteers were merely sitting still. (…) this was the exact region of the brain where the distinction between self and other originates.(…)

    During an intense religious experience, researchers believe that the limbic system becomes unusually active, tagging everything with special significance.(…)

    As a result, he says, epileptics have historically tended to be the people with the great mystical experiences.


  12. In Search Of God, New Scientist Next Article Bookmark and Share

    Excerpts: How cells organize into structured tissues has been a long-standing question for the field of developmental biology.(…)

    A phenomenon central to cell organization into tissue structures is cell motility, including active cell locomotion through or over matrices and stress-induced matrix remodeling by cells. Both motility-related processes depend on transmission of intracellular cytoskeleton-generated forces to the surrounding environment, whether adjacent cells, extracellular matrix, or a synthetic material. Force transmission as well as generation are regulated by signaling pathways governed by a variety of environmental stimuli, but in any situation are directly mediated by receptors in the cell plasma membrane that link to the cytoskeleton.


  13. Who's Got Pull Around Here? Cell Organization In Development And Tissue Engineering, PNAS Next Article Bookmark and Share

    Excerpts: There is general agreement that unicellular organisms became multicellular early in the course of evolution because the increase in size produced a selective advantage that encouraged their togetherness. Multicellularity arose independently many times, and no doubt the advantages were not always the same each time. (…)

    Although ATP can be rapidly synthesized by fermentation, the yield is very low. Respiration, on the other hand, yields 10 times as much ATP, but at a much slower rate.

    Editor's Note: The requirement of completing at least one thermodynamic work cycle is a condition for Stuart Kaufman's definition of life. Based on that requirement it is no surprise that thermodynamic efficiency can act as an important evolutionary control parameter.


  14. The Advantages of Togetherness, Science Next Article Bookmark and Share

    Excerpt: (...) cells with a higher rate but lower yield of ATP production may gain a selective advantage when competing for shared energy resources. Using an analysis of model simulations and biochemical observations, we show that ATP production with a low rate and high yield can be viewed as a form of cooperative resource use and may evolve in spatially structured environments. Furthermore, we argue that the high ATP yield of respiration may have facilitated the evolutionary transition from unicellular to undifferentiated multicellular organisms.

    1. Cooperation and Competition in the Evolution of ATP-Producing Pathways, Science Next Article Bookmark and Share

      Excerpt: Researchers have the first evidence that cues that guide migrating nerve cells also direct white blood cells called leukocytes, which have to find their way to inflamed, infected or damaged areas of the body. The study is reported in the April 19 issue of Nature.

      "This similarity between the immune system and nervous system might suggest new therapeutic approaches to immune system disorders such as inflammation and autoimmune diseases," says Yi Rao, Ph.D., an associate professor of anatomy and neurobiology at Washington University School of Medicine in St. Louis.

      This study was a collaboration between the School of Medicine and Baylor College of Medicine. Rao and Jane Y. Wu, Ph.D., an associate professor of pediatrics and of molecular biology and pharmacology, led the Washington University teams. Lili Feng, Ph.D., led the Baylor team.

      After a cell is born, it navigates to its destination, guided by signals from other molecules already in place. Researchers have found that the nervous system uses molecules that attract migrating cells, molecules that stop cell migration and molecules that push cells away. But so far, only attractive molecules have been identified in the immune system.

      Neurons take minutes or hours to migrate to their destinations, whereas leukocytes migrate within seconds. Even so, Rao and colleagues wanted to determine whether migrating leukocytes and neurons use similar mechanisms for finding their ways.

      "These experiments were carried out to address the question whether there is mechanistic conservation between the two systems," Rao says.

      His group studied a protein called Slit, a known repellent in neuronal migration. Two of the three known Slit proteins also have been found in organs other than the brain.

      The researchers simulated leukocyte migration in a dish, using a molecule known to attract immune cells. When they added human Slit protein (hSlit2) to the dish as well, fewer cells migrated. They repeated the procedure in the presence of a bacterial product also known to attract leukocytes. Again, hSlit2 inhibited cell migration. However, it did not inhibit other functions of the bacterial product.

      The team then determined whether Robo-a receptor that enables Slit to act on nerve cells-plays a similar role in the immune system. They had previously made a fragment of Robo which blocks the normally full-length Robo protein. When this blocker was added to the dish, Slit no longer inhibited leukocyte migration. So Robo and a receptor on the cells appeared to be competing for Slit. "These results suggest that Slit also is likely to act through a Robo-like receptor on leukocytes to inhibit their migration," Rao says.

      He and his colleagues also are trying to find out whether Slit can actively repel leukocytes and whether other neuronal guidance cues influence immune cell migration.

      This study bridges the gap between two previously independent fields-immunology and neurology-and highlights the need for collaboration. "This kind of research could have been done several years ago," Rao says. "But we all get used to addressing questions in our own fields. This study shows what happens if we venture out and collaborate with scientists in other fields."


  15. Molecule That Guides Nerve Cells Also Directs Immune Cells, Science Daily Next Article Bookmark and Share

    Excerpt: Migration is a basic feature of many cell types in a wide range of species. Since the 1800s, cell migration has been proposed to occur in the nervous and immune systems, and distinct molecular cues for mammalian neurons and leukocytes have been identified. Here we report that Slit, a secreted protein previously known for its role of repulsion in axon guidance and neuronal migration, can also inhibit leukocyte chemotaxis induced by chemotactic factors.

    1. The Neuronal Repellent Slit Inhibits Leukocyte Chemotaxis, Nature Next Article Bookmark and Share

      Abstract: Fitness landscapes have proven to be a valuable concept in evolutionary biology, combinatorial optimization, and the physics of disordered systems. A fitness landscape is a mapping from a configuration space into the real numbers. The configuration space is equipped with some notion of adjacency, nearness, distance or accessibility. Landscape theory has emerged as an attempt to devise suitable mathematical structures for describing the "static" properties of landscapes as well as their influence on the dynamics of adaptation. In this review we focus on the connections of landscape theory with algebraic combinatorics and random graph theory, where exact results are available.


  16. Combinatorial Landscapes, SFI Working Papers Next Article Bookmark and Share

    In theory, quantum computers can outpace conventional ones a billionfold, but how do you test a potential "killer app" for a machine that doesn't yet exist? If you have time, you can run it on machines that do exist. That's how researchers pitted a quantum algorithm against one of the toughest problems in computer science. In preliminary tests, described on page 472 of this issue, the algorithm racked up an encouraging virtual track record that left some scientists hankering for more.

    There are certain problems, for example, factoring or searching for the shortest route connecting several points (the traveling salesman problem), that classically appear to grow exponentially in computational time with the number of digits (in factoring) or points that can be tried (in a search). So far, classical algorithms for solving the wide range of related "NP-complete" problems that could yield answers in polynomial time have remained elusive. From simulations, Farhi et al. (p. 472; see the news story by Anderson ) show that quantum computers may be more effective at solving such problems. At least for the number of qubits they could simulate on their classical computer, they show that the adiabatic evolution of their quantum computer would yield a result to some examples of NP-complete problems in polynomial time


  17. Quantum Solutions to Difficult Problems, Science Next Article Bookmark and Share

    Abstract: A quantum system will stay near its instantaneous ground state if the Hamiltonian that governs its evolution varies slowly enough. This quantum adiabatic behavior is the basis of a new class of algorithms for quantum computing. We tested one such algorithm by applying it to randomly generated hard instances of an NP-complete problem. For the small examples that we could simulate, the quantum adiabatic algorithm worked well, providing evidence that quantum computers (if large ones can be built) may be able to outperform ordinary computers on hard sets of instances of NP-complete problems.

    1. A Quantum Adiabatic Evolution Algorithm Applied to an NP-Complete Problem, Science Next Article Bookmark and Share

      Abstract: We don't have to become neurons in the New World brain to feel thatwe're already gaining something. (…)(Huberman's) research consistently finds informal communities making better decisions than any of their members, knowing more and thinking better than experts. "We now know that society can work better than any individual," he says. "There is this notion of a collective mind, a social mind, and today the Internet allows us to tap that." (…) creating social organisms that carry out continuous computation."


  18. Inescapably Connected: Life in the Wireless Age, NYTimes Next Article Bookmark and Share

    Excerpts: Yudkowsky, a 21-year-old researcher at the Singularity Institute, has spent the last eight months writing an essay that's half precaution, half thought exercise, and entirely in earnest.

    This 750 KB treatise, released Wednesday, is not as much speculative as predictive. If a computer becomes sufficiently smart, the argument goes, and if it gains the ability to harm humans through nanotechnology or some means we don't expect, it may decide it doesn't need us or want us around. (…)

    Even so-called Singularitians like Yudkowsky admit that the term has no precise meaning, but a commonly accepted definition is a point when human progress, particularly technological progress, accelerates so dramatically that predicting what will happen next is futile.

    The term appears to have been coined by John von Neumann, the great mathematician and computer scientist who used it not to refer to superhuman intelligence, but to the everyday pace of science and technology.


    1. Making HAL Your Pal, Wired News Next Article Bookmark and Share

      Excerpt: So when, in "Flatterland," A. Square's great-great-granddaughter, Victoria Line, comes across her ancestor's samizdat manuscript and seeks a similar visitation, she is not just lifted into 3-D space. She is shown "spaces with infinitely many dimensions, spaces with none, spaces with fractional dimension, spaces with finitely many points, curved spaces, spaces that get mixed up with time, and spaces that aren't really there at all." In other words she is invited to see the surfaces and worlds imagined by recent theoretical mathematics and physics.


  19. Shelf Life: Discovering Dimensions Beyond Imagining, Nytimes Next Article Bookmark and Share

  20. Links & Snippets Next Article Bookmark and Share

    These references can be found in http://www.thescientificworld.com/. To retrieve the articles connect to the site and search for the title.

    1. Mapping An Application To A Control Architecture : Specification Of The Problem, Kokar (Mieczyslaw M.); Passino (Kevin M.); Baclawski (Kenneth); Smith (Jeffrey E.); Robertson (Paul); Shrobe (Howie); Laddaga (Robert), Lecture Notes In Computer Science
    2. The Quantum Computing Challenge, Vitanyi (Paul); Wilhelm (Reinhard), Lecture Notes In Computer Science
    3. An Introduction to Econophysics: Correlations and Complexity in Finance, Mantegna, Rosario N. And Stanley, H. Eugene., Malkiel, B., Journal Of Economic Literature
    4. Horizontal And Vertical Complexity Of Attached And Free-Living Bacteria Of The Eastern Mediterranean Sea, Determined By 16S Rdna And 16S Rrna Fingerprints, Moesender, M. M.; Winter, C.; Herndl, G. J., Limnology And Oceanography
    5. Latency Insertion Method (Lim) For The Fast Transient Simulation Of Large Networks, Schutt Aine (J. E.), Ieee Transactions On Circuits And Systems I: Fundamental Theory And Applications
    6. Clockwork Orange? A Quick Glance At The Packaging Industry Directory For Intermediate Bulk Containers And It Is Easy To Understand The Complexity Of Such A Business, Thomas-Emberson, S., PACKAGING TODAY INTERNATIONAL
    7. Microscopic Analysis And Significance Of Vascular Architectural Complexity In Renal Cell Carcinoma, Sabo, E.; Boltenko, A.; Sova, Y.; Stein, A.; Kleinhaus, S.; Resnick, M. B., Clinical Cancer Research
    8. Transition From Circular To Stellate Forms Of Submarine Volcanoes, Mitchell (Neil C.), Journal Of Geophysical Research
    9. Agent-Oriented Software Engineering : The State Of The Art, Wooldridge (Michael); Ciancarini (Paolo); Ciancarini (Paolo); Wooldridge (Michael J.), Lecture Notes In Computer Science
    10. Verifying The Behaviour Of Virtual Environment World Objects, Willans (James S.); Harrison (Michael D.); Palanque (Philippe); Paterno (Fabio), Lecture Notes In Computer Science
    11. Parallel Machine Scheduling With High Multiplicity, Clifford (John J.); Posner (Marc E.), Mathematical Programming
    12. Storage And Retrieval Of Moving Objects, Hae Don Chon; Agrawal (Divyakant); El Abbadi (Amr); Kian-Lee Tan; Franklin (Michael J.); Lui (John Chi-Shing), Lecture Notes In Computer Science
    13. Computational Complexity And Mathematical Proofs, Hartmanis (Juris); Wilhelm (Reinhard), Lecture Notes In Computer Science
    14. Progress On The State Explosion Problem In Model Checking, Clarke (Edmund); Grumberg (Orna); Jha (Somesh); Yuan Lu; Veith (Helmut); Wilhelm (Reinhard), Lecture notes in computer science
    15. Low Complexity Array Response Vector Estimation for Smart Antenna Systems, Kang, J.; Kim, S.-Y.; Xu, G., MILCOM

    1. Pub Alert Bookmark and Share


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