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Local Lagged Adapted Generalized Method Of Moments-An Innovative Estimation And Forecasting Approach And Its Applications.Pdf, Olusegun M. Otunuga 2019 Marshall University

Local Lagged Adapted Generalized Method Of Moments-An Innovative Estimation And Forecasting Approach And Its Applications.Pdf, Olusegun M. Otunuga

Olusegun Michael Otunuga

In this work, an attempt is made to apply the Local Lagged Adapted Generalized Method of Moments (LLGMM) to estimate state and parameters in stochastic differential dynamic models. The development of LLGMM is motivated by parameter and state estimation problems in continuous-time nonlinear and non-stationary stochastic dynamic model validation problems in biological, chemical, engineering, energy commodity markets, financial, medical, physical and social sciences. The byproducts of this innovative approach (LLGMM) are the balance between model specification and model prescription of continuous-time dynamic process and the development of discrete-time interconnected dynamic model of local sample mean and variance statistic process (DTIDMLSMVSP ...


Level Crossing Simulation Of A Queueing Model, Zhanxuan Ding 2019 University of Windsor

Level Crossing Simulation Of A Queueing Model, Zhanxuan Ding

Major Papers

Simulation of the level crossing method will be used to find approximations of the distribution of the workload for several queueing models. In particular, three different type of queueing models, with different methods of handling workload bound thresholds, will be considered. Simulation applied to workload bound thresholds is new work.


Infinite Sums, Products, And Urn Models, Yiyan Ni 2019 University of Windsor

Infinite Sums, Products, And Urn Models, Yiyan Ni

Major Papers

This paper considers an urn and its evolution in discrete time steps. The

urn initially has two different colored balls(blue and red). We discuss different

cases where k blue balls (k = 1, 2, 3, ... ) will be added (or removed) at every

step if a blue ball is withdrawn, based on the goal of eventually withdrawing a

red ball P(R eventually). We compute the probability of eventually withdrawing

a red ball with two different methods–one using infinite sums and other using

infinite products. One advantage of this is that we can obtain P(R eventually) in

a complex ...


The Van Der Waals Fluid’S Liquid Vapor Coexistence Locus, Using Maxima/Gnuplot, Carl W. David 2019 University of Connecticut

The Van Der Waals Fluid’S Liquid Vapor Coexistence Locus, Using Maxima/Gnuplot, Carl W. David

Chemistry Education Materials

The Maxima/Gnuplot code for plotting the van der Waals locus of liquid and vapor molar volumes as a function of pressure and temperature (all reduced) is presented.


1901 - Soil Survey Of The Lower Salinas Valley California, Macy H. Lapham And W. H. Heileman, 2019 California State University, Monterey Bay

1901 - Soil Survey Of The Lower Salinas Valley California, Macy H. Lapham And W. H. Heileman

Miscellaneous Monterey and San Luis Obispo County Documents and Reports

Prepared by the U.S. Department of Agriculture, Bureau of Soils, this report addresses the conditions found in the Lower Salinas Valley of Monterey County, California in 1901, including the development of agriculture, climate, geology, soil types, cultivation, irrigation. groundwater, and alkali found in the soil.


Enhancing The Co-Utilization Of Biomass-Derived Mixed Sugars By Yeasts, Meirong Gao, Deon Ploessl, Zengyi Shao 2019 Iowa State University

Enhancing The Co-Utilization Of Biomass-Derived Mixed Sugars By Yeasts, Meirong Gao, Deon Ploessl, Zengyi Shao

Chemical and Biological Engineering Publications

Plant biomass is a promising carbon source for producing value-added chemicals, including transportation biofuels, polymer precursors, and various additives. Most engineered microbial hosts and a select group of wild-type species can metabolize mixed sugars including oligosaccharides, hexoses, and pentoses that are hydrolyzed from plant biomass. However, most of these microorganisms consume glucose preferentially to non-glucose sugars through mechanisms generally defined as carbon catabolite repression. The current lack of simultaneous mixed-sugar utilization limits achievable titers, yields, and productivities. Therefore, the development of microbial platforms capable of fermenting mixed sugars simultaneously from biomass hydrolysates is essential for economical industry-scale production, particularly for ...


1901 - Irrigation In The United States - Testimony Of Elwood Mead Before U.S. Industrial Commission, June 11-12, 1901, 2019 California State University, Monterey Bay

1901 - Irrigation In The United States - Testimony Of Elwood Mead Before U.S. Industrial Commission, June 11-12, 1901

Miscellaneous Federal Documents & Reports

Professor Elwood Mead, expert in charge of the Irrigation Investigations of the United States Department of Agriculture, appeared before the United States Industrial Commission on June 11 and 12, 1901, to testify on the subject of irrigation in the United States. His testimony presented a review of the irrigation situation in the United States, including not only the arid region of the West, but also the humid sections of the South and East, where in two States alone more land had been brought under irrigation during the past five years than in any single State in the arid region during ...


Observational Time Series For Lakes Azuei And Enriquillo: Surface Area, Volume, And Elevation, Mahrokh Moknatian, Michael Piasecki 2019 CUNY City College

Observational Time Series For Lakes Azuei And Enriquillo: Surface Area, Volume, And Elevation, Mahrokh Moknatian, Michael Piasecki

Publications and Research

In this report, we present historical time series of surface area, volume, and elevation for lakes Azuei (Haiti) and Enriquillo (Dominican Republic). The intention is to present a history of the lakes’ levels for both bodies of water as derived from Landsat imagery that is augmented by reports and narratives that reach further back in time. We also summarize lake level time series data collected and developed through various other efforts and compare these data sets to our time series. The time series contains 45 years’ worth of data ranging from 1972 to 2017 which we developed from Landsat imagery ...


1901 - Soil Survey Of The Lower Salinas Valley California, Macy H. Lapham And W. H. Heileman, 2019 California State University, Monterey Bay

1901 - Soil Survey Of The Lower Salinas Valley California, Macy H. Lapham And W. H. Heileman

Miscellaneous Documents and Reports

Prepared by the U.S. Department of Agriculture, Bureau of Soils, this report addresses the conditions found in the Lower Salinas Valley of Monterey County, California in 1901, including the development of agriculture, climate, geology, soil types, cultivation, irrigation. groundwater, and alkali found in the soil.


Protein Conformations In The Gas Phase Probed By Mass Spectrometry And Molecular Dynamics Simulations, Maryam Bakhtiari 2019 The University of Western Ontario

Protein Conformations In The Gas Phase Probed By Mass Spectrometry And Molecular Dynamics Simulations, Maryam Bakhtiari

Electronic Thesis and Dissertation Repository

Mass Spectrometry (MS) has been revolutionized by the ability to produce intact gaseous protein ions by electrospray ionization (ESI). The question to what extent these ions retain solution-like conformations under “native” ESI conditions remains a matter of debate. Traditional high-resolution structure determination techniques only report on proteins in the condensed phase. For this reason, MD simulations play an important role in exploring the behavior of gas phase proteins. In this research, mobile and non-mobile proton MD simulations along with mass spectrometry data at 300 K in both positive and negative ion mode indicated that native-like conformations were largely retained. Surface ...


Obat Vitiligo Super Ampuh Dijamin Sembuh Permanen, hanifathu rizkiyah 2019 University of California, San Francisco

Obat Vitiligo Super Ampuh Dijamin Sembuh Permanen, Hanifathu Rizkiyah

Herbal Keramat

Vitiligo memang bukan penyakit kulit yang membahayakan nyawa seseorang. Hanya saja, bercak putih pada kulit tetap saja sepertinya mengganggu, apa lagi jika harus bepergian keluar rumah dan bertemu dengan banyak orang.

Vitiligo merupakan penyakit yang disebabkan oleh hilangnya zat warna pada kulit atau berkurangnya pigmen kulit. Salah satu penyakit kulit ini akan menyebabkan warna kulit menjadi lebih terang dibandingkan dengan warna kulit pada tubuhnya.

Perubahan warna pada kulit awalnya berbentuk seperti panu, tapi dengan berjalannya waktu bercak putih tersebut akan semakin meluas. Efek yang dapat dirasakan oleh adanya penyakit ini adalah muncul rasa gatal dan kulit menjadi lebih kering.

Umumnya ...


Obat Luka Hitam Pada Telapak Kaki, User Id 2019 University of California, San Francisco

Obat Luka Hitam Pada Telapak Kaki, User Id

Rizky Herbal

Luka yang menghitam, bisa berarti dua hal. Kemungkinan pertama adalah itu sebenarnya tidak sepenuhnya hitam namun ada penumpukan darah pada bagian tersebut yang menyebabkan warnanya menjadi gelap, atau kemungkinan kedua adalah itu memang menghitam karena ada jaringan yang mati atau bisa disebut gangrene.

Bila memang gangrene, maka penyebab dasarnya bisa karena tiga hal, yakni infeksi bakteri dari luka yang dibiarkan terlalu lama, kurangnya aliran darah pada bagian tubuh tersebut karena penyakit pembuluh darah, dan luka parah seperti pada luka tembak atau cedera karena kecelakaan mobil. Gangren akan meningkat risikonya pada mereka yang memiliki gangguan saraf, diabetes, mengalami aterosklerosis, memiliki penyakit ...


2018 Long-Term Summary Of Kentucky Forage Variety Trials, Gene L. Olson, S. Ray Smith, Jimmy C. Henning 2019 University of Kentucky

2018 Long-Term Summary Of Kentucky Forage Variety Trials, Gene L. Olson, S. Ray Smith, Jimmy C. Henning

Forage Symposium at the Kentucky Cattlemen’s Convention

Forage crops occupy approximately 7 million acres in Kentucky. Forages provide a majority of the nutrition for beef, dairy, horse, goat, sheep, and wildlife in the state. In addition, forage crops play an environmentally friendly role in soil conservation, water quality, and air quality. There are over 60 forage species adapted to the climate and soil conditions of Kentucky. Only 10 to 12 of these species occupy the majority of the acreage, but within these species there is a tremendous variation in varieties.

This publication was developed to provide a user-friendly guide to choosing the best variety for producers based ...


An Evaluation Of Training Size Impact On Validation Accuracy For Optimized Convolutional Neural Networks, Jostein Barry-Straume, Adam Tschannen, Daniel W. Engels, Edward Fine 2019 Southern Methodist University

An Evaluation Of Training Size Impact On Validation Accuracy For Optimized Convolutional Neural Networks, Jostein Barry-Straume, Adam Tschannen, Daniel W. Engels, Edward Fine

SMU Data Science Review

In this paper, we present an evaluation of training size impact on validation accuracy for an optimized Convolutional Neural Network (CNN). CNNs are currently the state-of-the-art architecture for object classification tasks. We used Amazon’s machine learning ecosystem to train and test 648 models to find the optimal hyperparameters with which to apply a CNN towards the Fashion-MNIST (Mixed National Institute of Standards and Technology) dataset. We were able to realize a validation accuracy of 90% by using only 40% of the original data. We found that hidden layers appear to have had zero impact on validation accuracy, whereas the ...


Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran 2019 Southern Methodist University

Comparisons Of Performance Between Quantum And Classical Machine Learning, Christopher Havenstein, Damarcus Thomas, Swami Chandrasekaran

SMU Data Science Review

In this paper, we present a performance comparison of machine learning algorithms executed on traditional and quantum computers. Quantum computing has potential of achieving incredible results for certain types of problems, and we explore if it can be applied to machine learning. First, we identified quantum machine learning algorithms with reproducible code and had classical machine learning counterparts. Then, we found relevant data sets with which we tested the comparable quantum and classical machine learning algorithm's performance. We evaluated performance with algorithm execution time and accuracy. We found that quantum variational support vector machines in some cases had higher ...


Political Profiling Using Feature Engineering And Nlp, Chiranjeevi Mallavarapu, Ramya Mandava, Sabitri KC, Ginger m. Holt 2019 Southern Methodist University

Political Profiling Using Feature Engineering And Nlp, Chiranjeevi Mallavarapu, Ramya Mandava, Sabitri Kc, Ginger M. Holt

SMU Data Science Review

Public surveys are predominantly used when forecasting election outcomes. While the approach has had significant successes, the surveys have had their failures as well, especially when it comes to accuracy and reliability. As a result, it becomes challenging for political parties to spend their campaign budgets in a manner that facilitates the growth of a favorable and verifiable public opinion. Consequently, it is critical that a more accurate methodology to predict election outcome is developed. In this paper, we present an evaluation of the impact of utilizing dynamic public data on predicting the outcome of elections. Our model yielded a ...


Pedestrian Safety -- Fundamental To A Walkable City, Joshua Herrera, Patrick McDevitt, Preeti Swaminathan, Raghuram Srinivas 2019 Southern Methodist University

Pedestrian Safety -- Fundamental To A Walkable City, Joshua Herrera, Patrick Mcdevitt, Preeti Swaminathan, Raghuram Srinivas

SMU Data Science Review

In this paper, we present a method to identify urban areas with a higher likelihood of pedestrian safety related events. Pedestrian safety related events are pedestrian-vehicle interactions that result in fatalities, injuries, accidents without injury, or near--misses between pedestrians and vehicles. To develop a solution to this problem of identifying likely event locations, we assemble data, primarily from the City of Cincinnati and Hamilton County, that include safety reports from a five year period, geographic information for these events, citizen survey of pedestrian reported concerns, non-emergency requests for service for any cause in the city, property values and public transportation ...


Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches, Heidi Nguyen, Aravind Veluchamy, Mamadou Diop, Rashed Iqbal 2019 Southern Methodist University

Comparative Study Of Sentiment Analysis With Product Reviews Using Machine Learning And Lexicon-Based Approaches, Heidi Nguyen, Aravind Veluchamy, Mamadou Diop, Rashed Iqbal

SMU Data Science Review

In this paper, we present a comparative study of text sentiment classification models using term frequency inverse document frequency vectorization in both supervised machine learning and lexicon-based techniques. There have been multiple promising machine learning and lexicon-based techniques, but the relative goodness of each approach on specific types of problems is not well understood. In order to offer researchers comprehensive insights, we compare a total of six algorithms to each other. The three machine learning algorithms are: Logistic Regression (LR), Support Vector Machine (SVM), and Gradient Boosting. The three lexicon-based algorithms are: Valence Aware Dictionary and Sentiment Reasoner (VADER), Pattern ...


Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater 2019 Southern Methodist University

Improving Vix Futures Forecasts Using Machine Learning Methods, James Hosker, Slobodan Djurdjevic, Hieu Nguyen, Robert Slater

SMU Data Science Review

The problem of forecasting market volatility is a difficult task for most fund managers. Volatility forecasts are used for risk management, alpha (risk) trading, and the reduction of trading friction. Improving the forecasts of future market volatility assists fund managers in adding or reducing risk in their portfolios as well as in increasing hedges to protect their portfolios in anticipation of a market sell-off event. Our analysis compares three existing financial models that forecast future market volatility using the Chicago Board Options Exchange Volatility Index (VIX) to six machine/deep learning supervised regression methods. This analysis determines which models provide ...


Random Models Of Idempotent Linear Maltsev Conditions. I. Idemprimality, Clifford Bergman, Agnes Szendrei 2019 Iowa State University

Random Models Of Idempotent Linear Maltsev Conditions. I. Idemprimality, Clifford Bergman, Agnes Szendrei

Mathematics Publications

We extend a well-known theorem of Murski\v{\i} to the probability space of finite models of a system M of identities of a strong idempotent linear Maltsev condition. We characterize the models of M in a way that can be easily turned into an algorithm for producing random finite models of M, and we prove that under mild restrictions on M, a random finite model of M is almost surely idemprimal. This implies that even if such an M is distinguishable from another idempotent linear Maltsev condition by a finite model A of M, a random search for a ...


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