Physical Sciences and Mathematics Commons^™

Acaricidal Activity Of Essential Oils From Leaves Of Chromolaena Odorata (L.) King & Robins., Eucalyptus Saligna Smith. & Chenopodium Ambrosioides On Ticks (Rhipicepha Luslunulatus Neumann, 1907) Of West African Dwarf Goats (Wadg) In Cameroon, E. Tedonkeng Pamo, B. Boukila, J. Awah-Ndukum, F. Tendonkeng

IGC Proceedings (1977-2023)

No abstract provided.

Appropriate Stocking Rate Of Yak On Alpine Pastures In The Three Rivers Headwater Region Of The Qinghai‐Tibetan Plateau, M. Dong, X. Q. Zhao, Y. S. Ma, Julia A. Klein, J. J. Shi, Y. L. Wang, L. Sheng, S. H. Yang, X. D. Sun

IGC Proceedings (1977-2023)

No abstract provided.

Effects Of Herbal Medicines On Proliferation Of Cow Mammary Epithelial Cells In Vitro, Yueyun Ding, Hongduo Bao, Fang Jiang, Lili Zhang, Tian Wang

IGC Proceedings (1977-2023)

No abstract provided.

Astragalus Membranaceus, Seed Of Cowheb Alters Milk Protein Yields And Lactoferrin, Casein Gene Expression In Cow Mammary Epithelial Cells, Yueyun Ding, Lili Zhang, Hongduo Bao, Tian Wang

IGC Proceedings (1977-2023)

No abstract provided.

Sheep On The Tibetan Plateau Flock Structure And Breeding Strategies, Luming Ding, Ruijun Long, Xusheng Guo, Wolfgang Bayer

IGC Proceedings (1977-2023)

No abstract provided.

Global Ocean Change Ocg 5xx, Joanna Burkhardt

Library Impact Statements

No abstract provided.

Bacteria-Mediated Synthesis Of Cobalt(Ii,Iii) Oxide Nanostructures, Ryan Loughran

Honors Program Theses and Projects

This work describes the synthesis of Co₃O₄ using rod-shaped Gram-positive bacteria Lactobacillus rhamnosus as a template. The motivation behind this project was to find potentially cheaper and environmentally benign protocols in comparison to the current solution-based methods.

A Conceptual Model Evaluation Framework For Adaptive Governance And Adaptive Management In Large-Scale Restoration Programs, Chadwin Smith

School of Natural Resources: Dissertations, Theses, and Student Research

Adaptive management (AM) has become a kind of plastic phrase applied as a formulaic panacea for most major species recovery and ecosystem restoration efforts now underway across the United States. AM emerged as an application of the scientific method to resource management, closely tying management to science learning through experimental actions. The phrase “learning by doing” best captures the premise behind developing an experimental management approach that could be applied on the larger scale of a river system or ecosystem. In nearly five decades of application, however, examples of successful AM implementation at large scales are few and conflict remains …

Improving The Maximum Power Point Tracking Efficiency Of Photovoltaic Arrays Via Machine Learning And Deep Learning, Sumedha Inamdar

Master of Science in Computer Science Theses

Under partial shading conditions, photovoltaic (PV) modules in a solar array experience varying irradiance. A Global Maximum (GM) and multiple Local Maximums (LMs) can originate on the Power-Voltage (P-V) curve under nonuniform irradiance conditions. There are many maximum power point tracking (MPPT) algorithms developed to detect the true maximum power point (MPP) of a PV array. However, in the real-world environment, limited samples of power-voltage (P-V) data might be available to quickly and accurately predict the position of the global maximum point. Since the change of environmental conditions are dynamic, limited time is available to locate the global peak. Machine …

The Electronic Properties Of Ni(Pnn) Pincer Complexes Modulate Activity In Catalytic Hydrodehalogenation Reactions, Denan Wang, James R. Gardinier

Chemistry Faculty Research and Publications

Three chloronickel(II) complexes of PNN‐ pincer ligands with pyrazolyl and diphenylphosphino donors appended to different arms of diarylamido anchors were prepared and fully characterized. The three derivatives (1‐OMe, 1‐Me, 1‐CF₃) differ only by the identity of the para‐aryl substituent on the pyrazolyl arm with 1‐OMe being 310 mV easier to oxidize than 1‐CF₃. All three complexes are competent catalysts for hydrodehalogenation reactions of 1‐bromooctane and a variety of aryl halides in dimethylacetamide using NaBH₄ as both base and hydride source. Comparative studies using diverse substrates showed that catalytic activity correlates with electron donor properties; …

Efficient And Mild Four-Component Process For The Synthesis Of Highly Substituted Dihydro-2-Oxopyrroles Using Zrocl2∙8h2o As An Environmental-Ly Friendly Catalyst, Farzaneh Mohamadpour

Makara Journal of Science

This study investigated the catalytic ability of ZrOCl₂∙8H₂O as a mild, environmentally benign nature, and economical catalyst for the multi-component efficient synthesis of biologically active highly substituted dihydro-2-oxopyrrole derivatives with excellent yields and short reaction times. This procedure has several advantages, including use of mild, nontoxic, and inexpensive catalysts, one-pot synthesis, environmentally benign nature, simple operational procedure, and highly efficient conditions.

Computational Analysis Of Chromophore Tripeptides Followingfusion Of Enhanced Green Fluorescent Protein And Cell-Penetrating Peptides, Silvia Tri Widyaningtyas, Ekawati Betty Pratiwi, Budiman Bela

Makara Journal of Science

Cell-penetrating peptides (CPPs) are small peptides that can transfer other materials into a cellular compartment. In this research, we studied the effect of fusion of new CPPs to the N-terminal of enhanced Green Fluorescent Protein eGFP on the ability of the latter to fluoresce. Results showed that the recombinant protein CPPs-eGFP could be successfully expressed in Escherichia coli. In contrast to E. coli expressing wild-type eGFP, which could fluoresce under ultraviolet (UV) or visible light, E. coli expressing CPPs-eGFP lost their ability to fluoresce. PyMol, a molecular visualization system, revealed that fusion of the new CPPs to the N-terminal …

Dft-Based Study Of Electric Field Effect On The Polarizability Of Three Ringed Nematic Liquid Crystal Molecules, Pranav Upadhyay, Mirtunjai Mishra, Ankur Trivedi, Jitendra Kumar, Asheesh Kumar, Devesh Kumar

Makara Journal of Science

Owing to its successful application to complex molecular systems, computational density functional theory (DFT) has been used to study the effect of an electric field on the molecular polarizability and HOMO–LUMO gap of 1-phenyl-4-{2-[(1s,4r)-4-pentylcyclohexyl]ethyl}benzene (1) and its fluoro-, chloro-, and cyano- derivatives, namely, 1-fluoro-4-(4-{2-[(1s,4r)-4-pentylcyclohexyl]ethyl}phenyl)benzene (2), 1-chloro-4-(4-{2-[(1s,4r)-4-pentylcyclohexyl]ethyl}phenyl)benzene (3), and 4-(4-{2-[(1s,4r)-4-pentylcyclohexyl]ethyl}phenyl)benzonitrile (4). These molecules belong to the family of nematic liquid crystals with three rings: two benzene and one cyclohexane. Furthermore, two DFT approaches, namely, B3LYP and M062X, have been used to examine the results obtained. This study reveals a remarkable feature: the polarizability of these molecules follows nearly a step function …

Malware Classification With Gaussian Mixture Model-Hidden Markov Models, Jing Zhao

Master's Projects

Discrete hidden Markov models (HMM) are often applied to the malware detection and classification problems. However, the continuous analog of discrete HMMs, that is, Gaussian mixture model-HMMs (GMM-HMM), are rarely considered in the field of cybersecurity. In this study, we apply GMM-HMMs to the malware classification problem and we compare our results to those obtained using discrete HMMs. As features, we consider opcode sequences and entropy-based sequences. For our opcode features, GMM-HMMs produce results that are comparable to those obtained using discrete HMMs, whereas for our entropy-based features, GMM-HMMs generally improve on the classification results that we can attain with …

Evaluation Of The Intake Of Fresh Mulberry In Crossbred Large White Pigs: Morphometric, Histological And Hematological Study, Yuvan Contino, F. Ojeda, R. Herrera, Nancy Altunaga, Guadalupe Pérez, J. L. Moliner

IGC Proceedings (1977-2023)

No abstract provided.

Use Of A Simulation Model To Develop Feeding Strategies For Cattle At Pasture In Small Scale Dairy Farming Systems In The Highlands Of Central Mexico: Methodological Frame Work, O. A. Castelán-Ortega, J. G. Estrada‐Flores, A. M. J. Espinoza‐Ortega, E. Sánchez‐Vera, M. Hernández‐Ortega, M. A. Rojas‐Garduño, V. Ambriz‐Vilchis

IGC Proceedings (1977-2023)

No abstract provided.

The Utilization Of Stored Soil Moistures For Forage Legumes Supply In The Dry Season In West Timor, Indonesia, Esnawan Budisantoso, Neal Dalgliesh, P. Th. Fernandez, T. Basuki, E. Hosang, D. Kana Hau, Jacob Nulik

IGC Proceedings (1977-2023)

No abstract provided.

Traveling-Wave Electrophoresis: 1d Model, Austin Green

Physics Capstone Projects

A 1D model of traveling-wave electrophoresis predicts that molecular diffusion raises the trapping threshold and that other physical properties of the species effect the trapping threshold as well. Small concentrations, below 5μM, raise the trapping threshold for high diffusivity species, resulting in a lower efficiency. Species with a mid-range electrophoretic mobility and diffusivity have their trapping threshold slightly lowered with an increase in concentration, leading to more particles traveling with the wave.

Quantifying Anticancer Drug Doxorubicin Binding To Dna Using Optical Tweezers, Zachary Ells

Honors Program Theses and Projects

Doxorubicin is a successful anticancer drug approved for use in the 1970s and is considered to be one of the most effective cancer treatment methods today. Although Doxorubicin has positive survival statistics it has very negative side effects in many cases. Bleeding from the soles of the palms and feet, along with excruciating pain is often exhibited through the administration of this drug. Based on the preliminary findings utilizing optical tweezers we anticipate that this study will provide critical information about the drug binding mechanism. Single molecule biophysics techniques have provided useful insight into the DNA-binding mechanisms of small molecules. …

Analyzing Performance, Energy Consumption, And Reliability Of Mobile Applications, Osama Barack

Computer Science and Engineering Theses and Dissertations

Mobile applications have become a high priority for software developers. Researchers and practitioners are working toward improving and optimizing the energy efficiency and performance of mobile applications due to the capacity limitation of mobile device processors and batteries. In addition, mobile applications have become popular among end-users, developers have introduced a wide range of features that increase the complexity of application code.

To improve and enhance the maintainability, extensibility, and understandability of application code, refactoring techniques were introduced. However, implementing such techniques to mobile applications affects energy efficiency and performance. To evaluate and categorize software implementation and optimization efficiency, several …

Deep Neural Network Based Student Response Modeling With Uncertainty, Multimodality And Attention, Xinyi Ding

Computer Science and Engineering Theses and Dissertations

In this thesis, I investigate deep neural network based student response modeling, more specifically Knowledge Tracing (KT). Knowledge Tracing allows Intelligent Tutoring Systems to infer which topics or skills a student has mastered, thus adjusting curriculum accordingly. Deep neural network based knowledge tracing models like Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Network (DKVMN) have achieved significant improvements compared with conventional probabilistic models. There are mainly two goals in this thesis: 1) To have a better understanding of existing deep neural network based models and their predictions through visualization and through incorporating uncertainties. 2) To improve the performance of …

Bayesian Semi-Supervised Keyphrase Extraction And Jackknife Empirical Likelihood For Assessing Heterogeneity In Meta-Analysis, Guanshen Wang

Statistical Science Theses and Dissertations

This dissertation investigates: (1) A Bayesian Semi-supervised Approach to Keyphrase Extraction with Only Positive and Unlabeled Data, (2) Jackknife Empirical Likelihood Confidence Intervals for Assessing Heterogeneity in Meta-analysis of Rare Binary Events.

In the big data era, people are blessed with a huge amount of information. However, the availability of information may also pose great challenges. One big challenge is how to extract useful yet succinct information in an automated fashion. As one of the first few efforts, keyphrase extraction methods summarize an article by identifying a list of keyphrases. Many existing keyphrase extraction methods focus on the unsupervised setting, …

Examining Multiple Imputation For Measurement Error Correction In Count Data With Excess Zeros, Shalima Zalsha

Statistical Science Theses and Dissertations

Measurement error and missing data are two common problems in wildlife population surveys. These data are collected from the environment and may be missing or measured with error when the observer’s ability to see the animal is obscured. Methods such as video transects for estimating red snapper abundance and aerial surveys for estimating moose population sizes are highly affected by these problems since total abundance will be underestimated if missing/mismeasured counts are ignored. We shall refer to this problem as visibility bias; it occurs when the true counts are observed when visibility is high, partially observed when visibility is low …

Improved Statistical Methods For Time-Series And Lifetime Data, Xiaojie Zhu

Statistical Science Theses and Dissertations

In this dissertation, improved statistical methods for time-series and lifetime data are developed. First, an improved trend test for time series data is presented. Then, robust parametric estimation methods based on system lifetime data with known system signatures are developed.

In the first part of this dissertation, we consider a test for the monotonic trend in time series data proposed by Brillinger (1989). It has been shown that when there are highly correlated residuals or short record lengths, Brillinger’s test procedure tends to have significance level much higher than the nominal level. This could be related to the discrepancy between …

Analysis Of Github Pull Requests, Canon Ellis

Computer Science and Engineering Theses and Dissertations

The popularity of the software repository site GitHub has created a rise in the Pull Based Development Models' use. An essential portion of pull-based development is the creation of Pull Requests. Pull Requests often have to be reviewed by an individual to be approved and accepted into the Master branch of a software repository. The reviewing process can often be time-consuming and introduce a relatively high level of lost development time. This paper examines thousands of pull requests to understand the most valuable metadata of pull requests. We then introduce metrics in comparing the metadata of pull requests to understand …

Published Research Documents In Nuclear And High Energy Physics From 1996-2019: A Bibliometric Analysis Of Leading Countries In Comparison With India, Ishwar Dutt Sharma Dr

Library Philosophy and Practice (e-journal)

A bibliometric analysis of scientific research production of the top five most productive countries in comparison with India in nuclear and high energy physics is presented during the period 1996-2019 using Scopus-linked SCImago electronic database. To validate the present study, some selected bibliometric indicators such as published documents, their citations and citations per document has been studied. In total, 769180 research documents were published worldwide in journal, conference proceedings and in book series. United States (16.47%), Germany(8.64%), Japan (6.65%), China (6.41%) and Russian Federation (5.89%) were the top most productive countries rankwise, whereas India ranked 10^th with 21157 research …

Multigrid For The Nonlinear Power Flow Equations, Enrique Pereira Batista

Mathematics Theses and Dissertations

The continuously changing structure of power systems and the inclusion of renewable
energy sources are leading to changes in the dynamics of modern power grid,
which have brought renewed attention to the solution of the AC power flow equations.
In particular, development of fast and robust solvers for the power flow problem
continues to be actively investigated. A novel multigrid technique for coarse-graining
dynamic power grid models has been developed recently. This technique uses an
algebraic multigrid (AMG) coarsening strategy applied to the weighted
graph Laplacian that arises from the power network's topology for the construction
of coarse-grain approximations to …

Uncertainty Quantification Of Nonreflecting Boundary Schemes, Brian Citty

Mathematics Theses and Dissertations

Numerical methods have been developed to solve partial differential equations involving the far-field radiation of waves. In addition, there has been recent interest in uncertainty quantification- a burgeoning field involving solving PDEs where random variables are used to model uncertainty in the data. In this thesis we will apply uncertainty quantification methodology to the 1D and 2D wave equation with nonreflecting boundary. We first derive a boundary condition for the 1D wave equation assuming several models of the random wave speed. Later we use our result to compare to an asymptotic SDE approach, and finally we repeat our analysis for …

Modeling Fluid Phenomena In The Context Of The Constrained Vapor Bubble System, James Barrett

Mathematics Theses and Dissertations

This thesis focuses on the fluid phenomena observed within what is known as the constrained vapor bubble system. The constrained vapor bubble system is a closed system consisting of a quartz cuvette partially filled with liquid and used as a coolant device. Heat is applied to the heater end which causes the liquid to evaporate and condense on the cooled end of the cuvette. Liquid travels back to the heated end via capillary flow in the corners. A pure vapor bubble is formed in the center of the cuvette giving rise to the name of the experiment. The constrained vapor …

Improving A Wireless Localization System Via Machine Learning Techniques And Security Protocols, Zachary Yorio

Masters Theses, 2020-current

The recent advancements made in Internet of Things (IoT) devices have brought forth new opportunities for technologies and systems to be integrated into our everyday life. In this work, we investigate how edge nodes can effectively utilize 802.11 wireless beacon frames being broadcast from pre-existing access points in a building to achieve room-level localization. We explain the needed hardware and software for this system and demonstrate a proof of concept with experimental data analysis. Improvements to localization accuracy are shown via machine learning by implementing the random forest algorithm. Using this algorithm, historical data can train the model and make …