183 research outputs found
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)
Plant-in-chip: Microfluidic system for studying root growth and pathogenic interactions in Arabidopsis
No full textWe report a microfluidic platform for the hydroponic growth of Arabidopsis plants with high-resolution visualization of root development and root-pathogen interactions. The platform comprises a set of parallel microchannels with individual input/output ports where 1-day old germinated seedlings are initially placed. Under optimum conditions, a root system grows in each microchannel and its images are recorded over a 198-h period. Different concentrations of plant growth media show different root growth characteristics. Later, the developed roots are inoculated with two plant pathogens (nematodes and zoospores) and their physicochemical interactions with the live root systems are observed.This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Parashar, Archana, and Santosh Pandey. "Plant-in-chip: Microfluidic system for studying root growth and pathogenic interactions in Arabidopsis." Applied Physics Letters 98, no. 26 (2011): 263703, and may be found at DOI: 10.1063/1.3604788. Copyright 2011 American Institute of Physics. Posted with permission
Ishair: Importance sampling for hair scattering
No full textWe present an importance sampling method for the bidirectional scattering distribution function (bsdf) of hair. Our method is based on the multi-lobe hair scattering model presented by Sadeghi et al. . We reduce Noise by drawing samples from a distribution that approximates the bsdf well. Our algorithm is efficient and Easy to implement, since the sampling process requires only the evaluation of a few analytic functions, with no Significant memory overhead or need for precomputation. We tested our method in a research raytracer and a Production renderer based on micropolygon rasterization. We show significant improvements for rendering direct Illumination using multiple importance sampling and for rendering indirect illumination using path tracing. © 2012 The Author(s)
Ayurdietics - The Art of Prakriti Based Personalised Eating
No full textIntroduction: Ayurdietics means combination of Ayurveda and Dietics i.e. dietary habits. The art of Prakriti based personalised eating elucidate the interaction between diet and prakriti. The new science focuses on how food affect our genes and can play an important role in disease treatment, prevention and mitigation through nutrition. According to Ayurveda, we all have different Prakriti i.e. Vata, Pitta and kapha, that reside in the body to help regulate its state. Ayurved merges food and natural drugs to reach a balance of these pathophysiological condition in each person . Ayurdietics embolies the study of inter-individual variability due to genetic variability in humans for assessing susceptibility and establishing diagnosis and prognosis mainly on the basis of the constitution type of a person’s prakriti. Personalised nutrition is a novel concept for developing personalised functional food and nutraceuticals suitable for one’s genetic makeup with the help of Ayurvedic concept . This review study aims to highlight the Ayurdietics in predictive, preventive and personalised aspect to maintain health.
Objectives: Improving health and preventing disease through tailored diet.
Methods: Textual resources have been used for this study, from which various references have been collected. Foremost Ayurvedic texts as Charak Samhita, Sushrula Samhita, Ashtanga Sangraha, Ashtanga Hridya and the available commentaries on these books has been used. Related modern texts and websites have also been searched for recent knowledge.
Results: We find that Ayurdietics presents a huge scope of development towards the understanding of Prakriti based nutrition research. The fundamental recommendations can be very useful in framing health recommendations and personalized food design.
Conclusions: This Ayurveda-inspired concept of personalized nutrition is a novel concept in the realm of nutrigenomic research for developing personalized functional foods and nutraceuticals suitable to one\u27s genetic makeup. The concept is that food and drugs intersect, considering their effects according to the genetic constitution (Prakriti) of a person at the systems biology level. It is evident that the reviewed techniques can be of utmost use in Ayurdietics research. This review introduces and presents this novel concept of Ayurdietics as an emerging area of research, which may unfold future possibilities
Integrating Diagnostic and Therapeutic Insights Across Medical System: A Cross-Disciplinary Approach
No full textIntroduction: In the world of upgrading global healthcare system, cross-system integration of medical sciences offers a multi-dimensional understanding of disease and healing. Integration of medical sciences in this domain has the potential to enhance the precision and efficiency of diagnosing diseases, thereby improving patient’s outcome. This paper presents a comparative overview of diagnostic methods, theories of pathogenesis, and treatment approaches across Ayurveda and Allopathy (modern medicine). The modern medicine provides structured and evidence-based tools whereas the traditional systems emphasize on individual constitution and root-cause treatment. Combining these perspectives opens up the pathways for holistic, personalized care, with enhanced patient outcomes and minimized side effects. It also highlights practical case studies and proposes a framework for integrative practice in clinical settings. Methodology: A literature review was done to compile the information from the Ayurvedic texts that can be integrated with modern medicine system, that will help in better and precise diagnosis which on further giving the best of the Ayurvedic treatment will enhance the outcome and patient’s longevity. Result: We got to know the areas of ancient Ayurvedic medical system that need to be integrated with the advancement of technology. Conclusion: Integration with the modern aspects is a big step towards the modernity of Ayurveda in today’s era. It’s a crucial area of development in terms of better diagnosis, individualized therapy, and international collaboration
Unidirectional, electrotactic-response valve for Caenorhabditis elegans in microfluidic devices
No full textWe report a nematode electrotactic-response valve (NERV) to control the locomotion of Caenorhabditis elegans (C. elegans) in microfluidic devices. This nonmechanical, unidirectional valve is based on creating a confined region of lateral electric field that is switchable and reversible. We observed that C. elegans do not prefer to pass through this region if the field lines are incident to its forward movement. Upon reaching the boundary of the NERV, the incident worms partially penetrate the field region, pull back, and turn around. The NERV is tested on three C. elegans mutants: wild-type (N2), lev-8, and acr-16.This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Carr, John A., Roy Lycke, Archana Parashar, and Santosh Pandey. "Unidirectional, electrotactic-response valve for Caenorhabditis elegans in microfluidic devices." Applied Physics Letters 98, no. 14 (2011): 143701, and may be found at DOI: 10.1063/1.3570629. Copyright 2011 American Institute of Physics. Posted with permission
Microfluidics-enabled method to identify modes of Caenorhabditis elegans paralysis in four anthelmintics
No full textThe discovery of new drugs is often propelled by the increasing resistance of parasites to existing drugs and the availability of better technology platforms. The area of microfluidics has provided devices for faster screening of compounds, controlled sampling/sorting of whole animals, and automated behavioral pattern recognition. In most microfluidic devices, drug effects on small animals (e.g., Caenorhabditis elegans) are quantified by an end-point, dose response curve representing a single parameter (such as worm velocity or stroke frequency). Here, we present a multi-parameter extraction method to characterize modes of paralysis in C. elegans over an extended time period. A microfluidic device with real-time imaging is used to expose C. elegans to four anthelmintic drugs (i.e., pyrantel, levamisole, tribendimidine, and methyridine). We quantified worm behavior with parameters such as curls per second, types of paralyzation, mode frequency, and number/duration of active/immobilization periods. Each drug was chosen at EC75 where 75% of the worm population is responsive to the drug. At equipotent concentrations, we observed differences in the manner with which worms paralyzed in drug environments. Our study highlights the need for assaying drug effects on small animal models with multiple parameters quantified at regular time points over an extended period to adequately capture the resistance and adaptability in chemical environments.This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Lycke, Roy, Archana Parashar, and Santosh Pandey. "Microfluidics-enabled method to identify modes of Caenorhabditis elegans paralysis in four anthelmintics." Biomicrofluidics 7, no. 6 (2013): 064103, and may be found at DOI: 10.1063/1.4829777. Copyright 2013 AIP Publishing LLC. Posted with permission
Frequency upconversion in Er3+ doped tungsten tellurite glass containing Ag nanoparticles
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