17,358 research outputs found
Bureau of Mines research on lunar resource utilization
Lunar resource utilization progra
The Effects of JIT on the Development of Productivity Norms
Low inventory, or just-in-time (JIT) manufacturing systems, enjoy increasing application worldwide, yet the behavioral effects of such systems remain largely unexplored. Operations Research (OR) models of low inventory systems typically make a simplifying assumption that individual worker processing times are independent random variables. This leads to predictions that low-inventory systems will exhibit production interruptions. Yet empirical results suggest that low-inventory systems do not exhibit the predicted productivity losses. This paper develops a model integrating feedback, goal-setting, group cohesiveness, task norms, and peer pressure to predict how individual behavior may adjust to alleviate production interruptions in low-inventory systems. In doing so we integrate previous research on the development of task norms. Findings suggest that low-inventory systems induce individual and group responses that cause behavioral changes that mitigate production interruptions
Studies in matter antimatter separation and in the origin of lunar magnetism
A progress report, covering lunar and planetary research is introduced. Data cover lunar ionospheric models, lunar and planetary geology, and lunar magnetism. Wind tunnel simulations of Mars aeolian problems and a comparative study of basaltic analogs of Lunar and Martial volcanic features was discussed
Accurate and robust image superresolution by neural processing of local image representations
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require iterative minimization procedures, with high computational costs. Recently, the authors proposed a method to tackle this problem, based on the use of a hybrid MLP-PNN architecture. In this paper, we present a novel superresolution method, based on an evolution of this concept, to incorporate the use of local image models. A neural processing stage receives as input the value of model coefficients on local windows. The data dimension-ality is firstly reduced by application of PCA. An MLP, trained on synthetic se-quences with various amounts of noise, estimates the high-resolution image data. The effect of varying the dimension of the network input space is exam-ined, showing a complex, structured behavior. Quantitative results are presented showing the accuracy and robustness of the proposed method
Uniaxial magnetocrystalline anisotropy in
is a paramagnetic metal and since its low temperature
resistivity is described by with , it
is also considered a non-Fermi liquid (NFL) metal. We have performed extensive
magnetoresistance and Hall effect measurements of untwinned epitaxial films of
. These measurements reveal that exhibits
uniaxial magnetocrystalline anisotropy. In addition, the low-temperature NFL
behavior is most effectively suppressed when a magnetic field is applied along
the easy axis, suggesting that critical spin fluctuations, possibly due to
proximity of a quantum critical phase transition, are related to the NFL
behavior.Comment: 7 figure
Preliminary Geomorphological Studies of the Lime Creek Area & Preliminary Report on the Lime Creek Sites: New Evidence of Early Man in Southwestern Nebraska
PALEONTOLOGICAL and archaeological discoveries were made near Cambridge, Nebraska, by the University of Nebraska State Museum field party in the spring of 1947 (Schultz and Frankforter, 1948, pp. 279-280) . Fossils and artifacts were found in situ at the base of a fifty-foot terrace on Lime Creek (University of Nebraska State Museum Localities Ft-41 and Ft-42) and on Medicine Creek just below the mouth of Lime Creek (Ft-50). Lime Creek is located (Fig. 1) in southwestern Nebraska in the southeastern part of Frontier County. It is a tributary of Medicine Creek which in turn is a tributary to the Republican River.
The paleontological material from this site reveals new information on the Pliocene-Pleistocene boundary line problem-a fundamental problem in the over-all Pleistocene history of the region. A series of five topographic benches\u27 or terraces is developed (see Figs. 4 and 5) along the Republican River and its tributaries. Field studies indicate that these represent cycles of alluviation interrupted by erosional periods. A similarly developed series of terrace-fills in a contiguous region has been provisionally correlated with the sub-stages of the Wisconsin stage of Pleistocene continental glaciation (Lueninghoener, 1946).
I N THE natural course of paleontological and geological explorations in Pleistocene deposits the fossil hunter often discovers evidence of man\u27s early occupation of North America. Artifacts and other cultural evidence are frequently found in direct association with the fossilized bones of various species of animals. Some of these remains represent extinct species while others can be referred to those found in North America today. Much is yet to be learned concerning the stratigraphic distribution of vertebrate life of the Pleistocene and the time of extinction of certain forms, but new evidence (see Schultz, Lueninghoener, and Frankforter, Part 1, Fig. 6 of this report) is constantly being accumulated which aids in clarifying the picture. In 1932 the University of Nebraska State Museum commenced a research program (Lugn, 1934, pp. 319-356; Schultz, 1934, pp. 357-393) in the field and laboratory relating to the stratigraphic distribution of the Pleistocene mammals and the study of extinction in the Great Plains. Since that time the major portion of the Museum\u27s field work has been directed to problems relating to the Pleistocene. The significance of terraces to the problems has been pointed out in Part 1 of this report (also in Schultz and Stout, 1945; 1948)
Herding in Financial Behaviour: A Behavioural and Neuroeconomic Analysis of Individual Differences
Experimental analyses have identified significant tendencies for individuals to follow herd decisions, a finding which has been explained using Bayesian principles. This paper outlines the results from a herding task designed to extend these analyses using evidence from a functional magnetic resonance imaging (fMRI) study. Empirically, we estimate logistic functions using panel estimation techniques to quantify the impact of herd decisions on individuals' financial decisions. We confirm that there are statistically significant propensities to herd and that social information about others' decisions has an impact on individuals' decisions. We extend these findings by identifying associations between herding propensities and individual characteristics including gender, age and various personality traits. In addition fMRI evidence shows that individual differences correlate strongly with activations in the amygdala – an area of the brain commonly associated with social decision-making. Individual differences also correlate strongly with amygdala activations during herding decisions. These findings are used to construct a two stage least squares model of financial herding which confirms that individual differences and neural responses play a role in modulating the propensity to herd.amygdal
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Herding in Financial Behaviour
Experimental analyses have identified significant tendencies for individuals to follow herd decisions, a finding which has been explained using Bayesian principles. This paper outlines the results from a herding task designed to extend these analyses using evidence from a functional magnetic resonance imaging (fMRI) study. Empirically, we estimate logistic functions using panel estimation techniques to quantify the impact of herd decisions on individuals' financial decisions. We confirm that there are statistically significant propensities to herd and that social information about others' decisions has an impact on individuals' decisions. We extend these findings by identifying associations between herding propensities and individual characteristics including gender, age and various personality traits. In addition fMRI evidence shows that individual differences correlate strongly with activations in the amygdala ヨ an area of the brain commonly associated with social decision-making. Individual differences also correlate strongly with amygdala activations during herding decisions. These findings are used to construct a two stage least squares model of financial herding which confirms that individual differences and neural responses play a role in modulating the propensity to herd
Impacts of Personality on Herding in Financial Decision-Making
It is well known that rational bubbles can be sustained in balanced growth path of a deterministic economy when the return to capital r is equal to the growth rate g. When there is a lack of stores of value, bubbles can implement an efficient allocation. This paper considers a world where r fluctuates over time due to shocks to the marginal productivity of capital. Then, bubbles further efficiency, though they cannot implement first best. While bubbles can only be sustained when r = g in a deterministic economy, r > g "on average" in a stochastic economy. Fiscal policy improves welfare by adding an extra asset. Where only the elderly contribute to shifting resources between investment and consumption in a bubbly economy, fiscal policy allows part of that burden to be shifted to the young. Contrary to common wisdom, trade in bubbly assets implements intergenerational transfers, while fiscal policy implements intragenerational transfers. Hence, while bubbles and fiscal policy are perfect substitutes in the deterministic economy, fiscal policy dominates bubbles in a stochastic economy. For plausible parameter values, a higher degree of dynamic inefficiency should lead to a higher sovereign debt
Applications of Information Theory to Analysis of Neural Data
Information theory is a practical and theoretical framework developed for the
study of communication over noisy channels. Its probabilistic basis and
capacity to relate statistical structure to function make it ideally suited for
studying information flow in the nervous system. It has a number of useful
properties: it is a general measure sensitive to any relationship, not only
linear effects; it has meaningful units which in many cases allow direct
comparison between different experiments; and it can be used to study how much
information can be gained by observing neural responses in single trials,
rather than in averages over multiple trials. A variety of information
theoretic quantities are commonly used in neuroscience - (see entry
"Definitions of Information-Theoretic Quantities"). In this entry we review
some applications of information theory in neuroscience to study encoding of
information in both single neurons and neuronal populations.Comment: 8 pages, 2 figure
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