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Search Results: 1 - 10 of 355603 matches for " J. Yu "
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DIS Prospects at the Future Muon Collider Facility
J. Yu
Physics , 1998,
Abstract: We discuss prospects of deep inelastic scattering physics capabilities at the future muon collider facility. In addition to mu^+ mu^- collider itself, the facility provides other possibilities. Among the possibilities, we present muon-proton collider and neutrino fixed target programs at the muon collider facility. This mu-p collider program extends kinematic reach and luminosity by an order of magnitude, increasing the possibility of search for new exotic particles. Perhaps most intriguing DIS prospects come from utilizing high intensity neutrino beam resulting from continuous decays of muons in various sections of the muon collider facility. One of the most interesting findings is a precision measurement of electroweak mixing angle, sin^2theta_W, which can be achieved to the precision equivalent to delta M_W ~ 30 MeV.
Finite Element Analysis of Sound Transmission Loss in One-Dimensional Solids  [PDF]
S. D. Yu, J. G. Kawall
Open Journal of Acoustics (OJA) , 2013, DOI: 10.4236/oja.2013.34017

A higher-order acoustic-displacement based finite element procedure is presented in this paper to investigate one-dimensional sound propagation through a solid and the associated transmission loss. The acoustic system consists of columns of standard air and a solid, with the upstream column of air subjected to a sinusoidal sound source. The longitudinal wave propagation in each medium is modeled using three-node finite elements. At the interfaces between the air and the solid medium, the continuity in acoustic displacements and the force equilibrium conditions are enforced. The Lagrange multipliers method is utilized to assemble the global equations of motion for the acoustic system. Numerical results obtained for various test cases using the procedure described in the paper are in excellent agreement with the analytical solutions and other independent solutions available in the literature.

Engineering agro-food development: The cluster model in China  [PDF]
M. Yu, J. Calzadilla, J. L. Lopez, A. Villa
Agricultural Sciences (AS) , 2013, DOI: 10.4236/as.2013.49B006

The concept of industrial clusters has been around for some time. For many national and regional authorities, particularly in the United States and Europe, cluster development policies became the core for the new development paradigm based on the agglomeration economy. The potential of clusters for the development of a new model for the agro-food industry was recognized at an early stage. Both the United States and Europehave developed a strong base of agro-food clusters. Also in developing countries, where agriculture is the main economical source, a strong ally to change their economy has been found in clusters.Latin Americahas many good examples of agro-based clusters. The Asian region is now starting to include the agro-foodclusters into the mainstream of changes inagriculture, farming and food industry. The case in China is very relevant, as the potential it holds for agro-food development is enormous. In this communication, the state of agro-based clusters inChinais described together with two examples of clusters, one specialized in vegetables and other in flowers.

ADLIF: a new large-displacement beam-based flexure joint
X. Pei ,J. Yu
Mechanical Sciences (MS) , 2011, DOI: 10.5194/ms-2-183-2011
Abstract: A flexure joint is an important component in flexure mechanisms. Most of well known flexure joints have always a trade-off among such performances as precision, stiffness, and stroke, which heavily affect the overall performances of flexure mechanisms. In this paper, a new flexure joint, named an anti-symmetric double leaf-type isosceles-trapezoidal flexure joint (ADLIF), is introduced. The joint is constructed by two leaf-type isosceles-trapezoidal flexure (LITF) building blocks in an anti-symmetrical form. In order to investigate such characteristics as precision, stiffness and stroke, two ADLIFs with different structural parameters are compared with a cartwheel hinge. In addition, a simple and accurate pseudo-rigid body (PRB) joint model of the ADLIF is formulated to simplify the parametric model and achieve the structural optimization. The results show that the ADLIF can gain a great improvement in precision as well as maintain other characteristics such as stiffness and ranges of motion similar. Even the ADLIF gets more than 16 times improvement in precision in the case that the rotational angle is less than five degrees (5°). The ADLIF can thus be used for the replacement of the cartwheel joint in some precision application fields.
Simulating the drug discovery pipeline: a Monte Carlo approach
Yu Melvin J
Journal of Cheminformatics , 2012, DOI: 10.1186/1758-2946-4-32
Abstract: Background The early drug discovery phase in pharmaceutical research and development marks the beginning of a long, complex and costly process of bringing a new molecular entity to market. As such, it plays a critical role in helping to maintain a robust downstream clinical development pipeline. Despite its importance, however, to our knowledge there are no published in silico models to simulate the progression of discrete virtual projects through a discovery milestone system. Results Multiple variables were tested and their impact on productivity metrics examined. Simulations predict that there is an optimum number of scientists for a given drug discovery portfolio, beyond which output in the form of preclinical candidates per year will remain flat. The model further predicts that the frequency of compounds to successfully pass the candidate selection milestone as a function of time will be irregular, with projects entering preclinical development in clusters marked by periods of low apparent productivity. Conclusions The model may be useful as a tool to facilitate analysis of historical growth and achievement over time, help gauge current working group progress against future performance expectations, and provide the basis for dialogue regarding working group best practices and resource deployment strategies.
Alternative Derivation of the Hu-Paz-Zhang Master Equation for Quantum Brownian Motion
J. J. Halliwell,T. Yu
Physics , 1995, DOI: 10.1103/PhysRevD.53.2012
Abstract: Hu, Paz and Zhang [ B.L. Hu, J.P. Paz and Y. Zhang, Phys. Rev. D {\bf 45} (1992) 2843] have derived an exact master equation for quantum Brownian motion in a general environment via path integral techniques. Their master equation provides a very useful tool to study the decoherence of a quantum system due to the interaction with its environment. In this paper, we give an alternative and elementary derivation of the Hu-Paz-Zhang master equation, which involves tracing the evolution equation for the Wigner function. We also discuss the master equation in some special cases.
Anti-inflammatory effect of plant compositions of Tibetan medicine in vitro on early rheumatoid arthritis  [PDF]
L. Yu. Semenova, J. M. Salmasi, G. V. Poryadin
Health (Health) , 2011, DOI: 10.4236/health.2011.39096
Abstract: Materials and Methods: lymphocytes of 10 pa-tients having early rheumatoid arthritis (RA) (the duration of the illness was 3 - 6 months) with a marked exudational process in joints were ex-amined. The content of lymphocytes expressing the CD3, CD4, CD8, CD16, CD56, CD20, CD72, CD38, CD23, CD25, CD71, HLA-DR, CD95, CD30, CD54, mIgM, mIgG antigens was determined. Results: the “Taban-Arshan” extract corrects the changes of the immune system characterized by the evident activation of the B-cell part of the immune system and normalizes immune parameters of the lymphocytes taken from the patients with autoimmune diseases (early rheumatoid arthritis). The immunocorrective effect of the “Taban-Arshan” extract is related to its ability to suppress the lymphocyte increased activation by normalizing expression of the main activation antigens (CD23, CD25, CD71, HLA-DR, CD54).
The response of the magnetosphere-ionosphere system to a sudden dynamic pressure enhancement under southward IMF conditions
Y Yu ,A. J. Ridley
Annales Geophysicae (ANGEO) , 2009,
Abstract: The magnetospheric response to step-like solar wind dynamic pressure increases under southward IMF conditions is studied using the University of Michigan MHD code. A two phased response in the ionosphere is observed, similar to what is observed when the IMF is northward by looking into the residual potential and field-aligned current (FAC) patterns in the ionosphere. The first phase response right after the high pressure enhancement hits the magnetopause is associated with a pair of FACs downward in the postnoon and upward in the prenoon region. These FACs are caused by dusk-to-dawn electric fields inside the dayside magnetopause launched by a fast mode compressional wave. The second phase response shows another pair of potential cells as well as FACs in opposite polarity, which originates from magnetospheric vortices on the equatorial plane. The vortices appear to be formed by the recovery of the system from the fast mode wave.
Fast rule-based bioactivity prediction using associative classification mining
Yu Pulan,Wild David J
Journal of Cheminformatics , 2012, DOI: 10.1186/1758-2946-4-29
Abstract: Relating chemical features to bioactivities is critical in molecular design and is used extensively in the lead discovery and optimization process. A variety of techniques from statistics, data mining and machine learning have been applied to this process. In this study, we utilize a collection of methods, called associative classification mining (ACM), which are popular in the data mining community, but so far have not been applied widely in cheminformatics. More specifically, classification based on predictive association rules (CPAR), classification based on multiple association rules (CMAR) and classification based on association rules (CBA) are employed on three datasets using various descriptor sets. Experimental evaluations on anti-tuberculosis (antiTB), mutagenicity and hERG (the human Ether-a-go-go-Related Gene) blocker datasets show that these three methods are computationally scalable and appropriate for high speed mining. Additionally, they provide comparable accuracy and efficiency to the commonly used Bayesian and support vector machines (SVM) methods, and produce highly interpretable models.
Discovering Associations in Biomedical Datasets by Link-based Associative Classifier (LAC)
Pulan Yu, David J. Wild
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0051018
Abstract: Associative classification mining (ACM) can be used to provide predictive models with high accuracy as well as interpretability. However, traditional ACM ignores the difference of significances among the features used for mining. Although weighted associative classification mining (WACM) addresses this issue by assigning different weights to features, most implementations can only be utilized when pre-assigned weights are available. In this paper, we propose a link-based approach to automatically derive weight information from a dataset using link-based models which treat the dataset as a bipartite model. By combining this link-based feature weighting method with a traditional ACM method–classification based on associations (CBA), a Link-based Associative Classifier (LAC) is developed. We then demonstrate the application of LAC to biomedical datasets for association discovery between chemical compounds and bioactivities or diseases. The results indicate that the novel link-based weighting method is comparable to support vector machine (SVM) and RELIEF method, and is capable of capturing significant features. Additionally, LAC is shown to produce models with high accuracies and discover interesting associations which may otherwise remain unrevealed by traditional ACM.
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