188,231 research outputs found
A free particle in noncommutative space-time
No full textBy examining some known wave equations it is shown that the dynamics of a free quantum particle in a slightly noncommutative space-time is equivalent to that of a charged particle moving in a self-generated (weak) electromagnetic field
An adaptive NARX neural network approach for financial time series prediction
No full textThere has been increasing interest in the application of neural networks to the field of finance. Several experiments have been carried out stating the success of neural networks for time series prediction.
Most of the existing systems recommend single neural network architecture to be used for a particular time series. Our experiments have shown that a fixed architecture may not be the best approach across different time horizons. The thesis proposes a new methodology where multiple NARX (nonlinear autoregressive network with exogenous inputs) networks with different architectures are generated and evaluated before the beginning of a new time horizon. A network is selected from this set and employed to make predictions. This selection is based on past datasets only -- making the system completely applicable to real world scenarios.
A framework of functions was built in MATLAB® to customize the Neural Network Toolbox ® for financial applications. This framework provides for all the basic functions required by a financial neural network system. An adaptive system that uses technical indicators and some external time series as inputs was built. Different rules were developed and tested for selecting the best performing neural networks.
The new approach was tested on 5 currencies and the gold series. Our results show that high realized values of returns in the past, along with generalization is the best parameter to select a network for the future. A system with adaptive approach performs better than one with a fixed architecture. Our adaptive system out performed not only the fixed architectures but also other benchmarks like technical indicators, linear regression and baseline buy or sell strategies.M.S.Includes bibliographical references (p. 80-82)
The Importance of Electrical Impedance Spectroscopy and Equivalent Circuit Analysis on Nanoscale Molecular Electronic Devices
No full textTo understand the electrical and charge transport phenomena in either single or large-scale molecular junctions, direct current (DC) measurements are mainly utilized. The current–voltage data obtained from DC measurements on molecular junctions (MJs) are employed to infer charge transport parameters, including barrier height, contact resistance, attenuation factor (β), and underlying transport mechanisms. However, DC measurements can not separate the individual electrical components, as it produces a total current that flows in the molecular junctions. Contact resistance obtained from the DC measurements by extrapolating plot of resistance versus chain length can not make exact value. In addition, defected SAMs-based MJs or junctions having a protective layer, DC measurements alone can predict neither proper electrical values nor the correct transport mechanisms and it lacks frequency response. Electrical impedance spectroscopy (EIS) along with the circuit model enables the identification of individual electrical components of the molecular junctions and faultless contact resistance values that facilitate the model of actual transport mechanisms. In this Review, the working principle of electrical impedance spectroscopy and circuit modeling to digitize the experimental results on various molecular junctions, is discussed. Overall, the EIS technique can serve as an excellent analytical tool for the proper electrical characterization that is highly desirable for molecular electronics
Feminism and peace movements : engendering anti-nuclear activism
No full textIn this chapter, I argue for the reinvigoration and expansion of research on feminist anti-nuclear activism. I draw on a diverse range of sources —from the vibrant literature on the Cold War women's peace camps, through postcolonial framings of anti-nuclear activism in Asia and the Pacific, to claims about feminist influence on the negotiation of a global ban on nuclear weapons. Sketching the contours of a bolder and more inclusive research agenda on feminist anti-nuclear activism, I advocate that feminist peace researchers should renew their engagement with, and contribution to, the struggle for a nuclear-free world
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Supplementary_Information_for_Dose_Response_Mar_2018_revision_Final - Murburn Concept: A Molecular Explanation for Hormetic and Idiosyncratic Dose Responses
No full textSupplementary_Information_for_Dose_Response_Mar_2018_revision_Final for Murburn Concept: A Molecular Explanation for Hormetic and Idiosyncratic Dose Responses by Abhinav Parashar, Daniel Andrew Gideon, and Kelath Murali Manoj in Dose-Response</p
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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