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Articles 58831 - 58860 of 302421

Full-Text Articles in Physical Sciences and Mathematics

Alfalfa Forage Processing And Industry Development In China, S. H. Luo, F. Y. Liu May 2021

Alfalfa Forage Processing And Industry Development In China, S. H. Luo, F. Y. Liu

IGC Proceedings (1993-2023)

No abstract provided.


Do Silicon Fertilizers Improve The Fodder Value Of Tropical Grass Species?, Valentin Kindomihou, Jianfeng Ma, Brice Sinsin, Pierre Meerts May 2021

Do Silicon Fertilizers Improve The Fodder Value Of Tropical Grass Species?, Valentin Kindomihou, Jianfeng Ma, Brice Sinsin, Pierre Meerts

IGC Proceedings (1993-2023)

No abstract provided.


Variation In Forage Quality Of Three Rangeland Species In Different Phenological Stages, S. A. Javadi, H. Arzani May 2021

Variation In Forage Quality Of Three Rangeland Species In Different Phenological Stages, S. A. Javadi, H. Arzani

IGC Proceedings (1993-2023)

No abstract provided.


Influence Of Germination On The Soluble Carbohydrates In Feed Legumes, María Felicia Díaz, María A. Martín‐Cabrejas, Yolanda Aguilera, Vanesa Benítez, Esperanza Mollá, Rosa M. Esteban May 2021

Influence Of Germination On The Soluble Carbohydrates In Feed Legumes, María Felicia Díaz, María A. Martín‐Cabrejas, Yolanda Aguilera, Vanesa Benítez, Esperanza Mollá, Rosa M. Esteban

IGC Proceedings (1993-2023)

No abstract provided.


Analysis Of Students’ Multi-Representation Ability In Augmented Reality-Assisted Learning, Sri Jumini, Edy Cahyono, Muhamad Miftakhul Falah May 2021

Analysis Of Students’ Multi-Representation Ability In Augmented Reality-Assisted Learning, Sri Jumini, Edy Cahyono, Muhamad Miftakhul Falah

Library Philosophy and Practice (e-journal)

Not all learning sources can directly and cheaply be presented, so augmented reality media is needed to be applied to students with various talents and intelligence. This study aims to analyze students’ multi-representation ability through the use of augmented reality media. The research method was carried out through pre-experiment with one group posttest only design. Test question items were given to see the students’ multi-representation ability. Data analysis was carried out through the percentage of the number of students achieving test scores of more than or equal to 80 on a scale of 100. The results showed that 88% (28 …


Sample Hummingbird Feeder Resource Depletion Investigation, Center For Urban Resilience May 2021

Sample Hummingbird Feeder Resource Depletion Investigation, Center For Urban Resilience

Module 13: Birds in the Urban Landscape

No abstract provided.


Saving The Blue Butterfly, Center For Urban Resilience May 2021

Saving The Blue Butterfly, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Ngss Standards Alignment Chart, Center For Urban Resilience May 2021

Ngss Standards Alignment Chart, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Binder Cover Garden Ecology, Center For Urban Resilience May 2021

Binder Cover Garden Ecology, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Lesson Adaptations And Extensions, Center For Urban Resilience May 2021

Lesson Adaptations And Extensions, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Module 10 - Garden Ecology Outline, Center For Urban Resilience May 2021

Module 10 - Garden Ecology Outline, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Successful Garden Implementation Project Diagram, Center For Urban Resilience May 2021

Successful Garden Implementation Project Diagram, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Urban La Birds Starter Kit, Center For Urban Resilience May 2021

Urban La Birds Starter Kit, Center For Urban Resilience

Module 10: Garden Ecology

No abstract provided.


Influence Of Mechanical Deformation On The Photo-Voltaic Properties Of Thin Polycrystalline Cdte, Cdse, Cds Films Manufactured By Portional Evaporation In Vacuum, T I. Rakhmonov, R U. Siddikov, A Mirzaaxmedov May 2021

Influence Of Mechanical Deformation On The Photo-Voltaic Properties Of Thin Polycrystalline Cdte, Cdse, Cds Films Manufactured By Portional Evaporation In Vacuum, T I. Rakhmonov, R U. Siddikov, A Mirzaaxmedov

Scientific-technical journal

Some issues of improving the technology of obtaining thin-film (d»1.0 μm) elements with anomalous photovoltaic properties from cadmium chalcogenides by thermal evaporation in vacuum in separate portions on transparent dielectric substrates are considered. The experimental results of studying the current-voltage, lux-ampere, lux-voltage and deformation characteristics of CdTe, CdSe, CdS polycrystalline films are analyzed. It is shown that the obtained samples have linear I - V, L - A, temperature (T≈120-320 K) and deformation characteristics (ε≈-3‧10-5-3‧10-3 arb. units). Therefore, they can serve as promising photocells for the producing of film photodetectors sensitive to mechanical deformation in the visible …


Smallmouth Bass Feeding Dynamics And Growth In Headwater Streams Of The Interior Highlands, Brandon C. Plunkett May 2021

Smallmouth Bass Feeding Dynamics And Growth In Headwater Streams Of The Interior Highlands, Brandon C. Plunkett

ATU Theses and Dissertations 2021 - Present

Smallmouth Bass have been extensively studied, but knowledge of the effects of temperature and hydrologic regime on populations in the Interior Highlands of Arkansas remains lacking. In 2018, I monitored diet characteristics of Smallmouth Bass, located in streams prone to dryness and representing a range of water temperatures, and presence of potential competitors. Diet characteristics of Smallmouth Bass, Green Sunfish, and Creek Chub were studied in the Boston Mountains ecoregion of Arkansas during the summer of 2018. In 2019, I expanded the scope of the project to search for relationships between Smallmouth Bass growth and hydrologic regime. My objectives were …


Quantification Of Persistent Organic Pollutants In Various Matrices Using Stir Bar Sorptive Extraction And Isotope Dilution Mass Spectrometry, Weier Hao May 2021

Quantification Of Persistent Organic Pollutants In Various Matrices Using Stir Bar Sorptive Extraction And Isotope Dilution Mass Spectrometry, Weier Hao

Electronic Theses and Dissertations

A method was developed to quantify persistent organic pollutants (POPs) in a wide range of matrices including wastewater, dietary supplements, and human whole blood using stir-bar sorptive extraction, GC-MS/MS, and isotope dilution mass spectrometry (IDMS). The method enabled accurate, precise, sensitive, and efficient quantification of POPs in these matrices. Compared with calibration curves, IDMS provided measurements with a higher level of accuracy and precision, especially at lower measured concentrations. The use of GC-MS/MS enabled a lower limit of quantification compared with GC-MS. A reverse-IDMS method was performed to further eliminate biases from the labelled concentrations of the commercially available standards. …


Computational And Experimental Studies Of Functionalized Phenolic Tertiary Phosphine Oxides As Organocatalysts For The Redox-Neutral Mitsunobu Reaction, Sadie Brown May 2021

Computational And Experimental Studies Of Functionalized Phenolic Tertiary Phosphine Oxides As Organocatalysts For The Redox-Neutral Mitsunobu Reaction, Sadie Brown

Electronic Theses and Dissertations

The purpose of this thesis was the identification of a more efficient catalyst analog that could perform the redox-neutral Mitsunobu reaction, which was achieved via two synthetic pathways: elimination-addition and addition-rearrangement. Furthermore, a computational investigation was conducted on the conflicting interpretations of the catalytic cycle. Our research group replicated Houk et al. work, as well as expanded the computations to examine the influence different functional groups had on the ground state and transition state structures. Important ground state and transition state structures were determined, which provided a more energetically favorable pathway of the catalytic cycle. Experimental work demonstrated that both …


Air Pollution In The Steel City: Assessing The Influence Of Covid-19 On Air Pollution In Allegheny County, Carissa L. Lange May 2021

Air Pollution In The Steel City: Assessing The Influence Of Covid-19 On Air Pollution In Allegheny County, Carissa L. Lange

Electronic Theses and Dissertations

Though the novel coronavirus (COVID-19) has sickened millions of individuals, lockdown measures have provided a unique opportunity to analyze air pollution reductions. Reductions in air pollution are especially important in a city like Pittsburgh, where industrial activity has led to elevated levels of particulate matter with an aerodynamic diameter 2.5). The majority of this PM2.5 pollution comes from two industrial facilities, the Edgar Thomson Steel Works and the Clairton Coke Works. By utilizing a natural experiment, this study sought to determine how large of a role the COVID-19 lockdowns played in improving air quality in the Pittsburgh region. Data …


Hst Pancet Program: Non-Detection Of Atmospheric Escape In The Warm Saturn-Sized Planet Wasp-29 B, Leonardo A. Dos Santos, Vincent Bourrier, David Ehrenreich, Jorge Sanz-Forcada, Mercedes López-Morales, David K. Sing, Antonio García Muñoz, Gregory W. Henry, Panayotis Lavvas, Alain Lecavelier, Thomas Mikal-Evans, Alfred Vidal-Madjar, Hannah R. Wakeford May 2021

Hst Pancet Program: Non-Detection Of Atmospheric Escape In The Warm Saturn-Sized Planet Wasp-29 B, Leonardo A. Dos Santos, Vincent Bourrier, David Ehrenreich, Jorge Sanz-Forcada, Mercedes López-Morales, David K. Sing, Antonio García Muñoz, Gregory W. Henry, Panayotis Lavvas, Alain Lecavelier, Thomas Mikal-Evans, Alfred Vidal-Madjar, Hannah R. Wakeford

Information Systems and Engineering Management Research Publications

Short-period gas giant exoplanets are susceptible to intense atmospheric escape due to their large scale heights and strong high-energy irradiation. This process is thought to occur ubiquitously, but to date we have only detected direct evidence of atmospheric escape in hot Jupiters and warm Neptunes. The latter planets are particularly more sensitive to escape-driven evolution as a result of their lower gravities with respect to Jupiter-sized planets. But the paucity of cases for intermediate, Saturn-sized exoplanets at varying levels of irradiation precludes a detailed understanding of the underlying physics in atmospheric escape of hot gas giants. Aiming to address this …


Laplace's Equation In Fractional-Dimension Spaces, Kyle Schoener, Gabriele Varieschi May 2021

Laplace's Equation In Fractional-Dimension Spaces, Kyle Schoener, Gabriele Varieschi

Honors Thesis

The correct way to model gravity is a question in physics whose answer continues to elude our understanding. One major difficulty is the dark matter problem, which exists due to the mass discrepancy between predicted and measured values in our universe. One possible solution to this problem is Modified Newtonian Dynamics (MOND). MOND is an alternative gravity model that modifies Newtonian Dynamics with the hope to avoid the necessity of dark matter.

Dr. Varieschi has done work connecting MOND to Newtonian Fractional-Dimension Gravity—the application of fractional calculus and fractional mechanics to classical gravitation laws. In this formulation, we can consider …


Benchmarking Clustering And Classification Tasks Using K-Means, Fuzzy C-Means And Feedforward Neural Networks Optimized By Pso, Adam Pickens, Adam Pickens May 2021

Benchmarking Clustering And Classification Tasks Using K-Means, Fuzzy C-Means And Feedforward Neural Networks Optimized By Pso, Adam Pickens, Adam Pickens

Honors College Theses

Clustering is a widely used unsupervised learning technique across data mining and machine learning applications and finds frequent use in diverse fields ranging from astronomy, medical imaging, search and optimization, geology, geophysics and sentiment analysis to name a few. It is therefore important to verify the effectiveness of the clustering algorithms in question and to make reasonably strong arguments for the acceptance of the end results generated by the validity indices that measure the compactness and separability of clusters. This work aims to explore the successes and limitations of popular clustering mechanisms such as K-Means and Fuzzy C-Means by comparing …


Development Of Methods For Determining Water Content In Oil Using Infrared Spectroscopy, Sfoog Hamad Saleh May 2021

Development Of Methods For Determining Water Content In Oil Using Infrared Spectroscopy, Sfoog Hamad Saleh

Electronic Theses and Dissertations

Karl Fischer Titration (KFT) is the “gold standard” method for measuring the amount of water in oils. KFT is a laborious and time-consuming method that requires expensive and hazardous chemicals which has provided the impetus to develop alternative methods. In this thesis, we investigated three approaches for determining water content in oils that are based on the use of infrared spectroscopy. In the first approach, we developed a simple method for measuring water concentrations from 1 to 5000 ppm in various types of oil that uses no hazardous, and expensive, chemical reagents or matrix specific calibrations. This approach involves capturing …


Parameter Estimation In Nonlinear Regression: Exploring Confidence Intervals For Estimated Coefficients, Brandon Williams May 2021

Parameter Estimation In Nonlinear Regression: Exploring Confidence Intervals For Estimated Coefficients, Brandon Williams

Student Research Submissions

Previously, we explored generating data using four different curved source functions with normally distributed errors and then fitting various curved models to this generated data. This research aimed to study the reliability of the goodness-of-fit measures, such as R2 and AIC, when the data originates from a curved source model. Ultimately, we found that, for logarithmic source models, AIC picks the correct source model most often, while R2 selects either the logarithmic or quadratic source models. For quadratic source models, AIC picks the power source model most often, whereas R2 selects the correct source model. Lastly, we …


Streaming Down The Stern-Brocot Tree: Finding And Expressing Solutions To Pell's Equation In Sl(2,Z), Marcus L. Shell May 2021

Streaming Down The Stern-Brocot Tree: Finding And Expressing Solutions To Pell's Equation In Sl(2,Z), Marcus L. Shell

Theses

This paper explores and elaborates on a method of solving Pell’s equation as introduced by Norman Wildberger. In the first chapters of the paper, foundational topics are introduced in expository style including an explanation of Pell’s equation. An explanation of continued fractions and their ability to express quadratic irrationals is provided as well as a connection to the Stern-Brocot tree and a convenient means of representation for each in terms of 2×2 matrices with integer elements. This representation will provide a useful way of navigating the Stern-Brocot tree computationally and permit us a means of computing continued fractions without the …


Model For Quantifying The Quality Of Secure Service, Paul M. Simon, Scott R. Graham, Christopher Talbot, Micah J. Hayden May 2021

Model For Quantifying The Quality Of Secure Service, Paul M. Simon, Scott R. Graham, Christopher Talbot, Micah J. Hayden

Faculty Publications

Although not common today, communications networks could adjust security postures based on changing mission security requirements, environmental conditions, or adversarial capability, through the coordinated use of multiple channels. This will require the ability to measure the security of communications networks in a meaningful way. To address this need, in this paper, we introduce the Quality of Secure Service (QoSS) model, a methodology to evaluate how well a system meets its security requirements. This construct enables a repeatable and quantifiable measure of security in a single- or multi-channel network under static configurations. In this approach, the quantification of security is based …


Variations In Zooplankton Communities As Indicators Of Biological Responses To Climate Change And Recovery From Acidification In Northeastern And Maine Mountain Lakes, Stephanie Dykema May 2021

Variations In Zooplankton Communities As Indicators Of Biological Responses To Climate Change And Recovery From Acidification In Northeastern And Maine Mountain Lakes, Stephanie Dykema

Electronic Theses and Dissertations

Since the Clean Air Act Amendments of 1990, lakes in Maine and much of the Northeastern US have seen significant shifts in response to reduced atmospheric deposition as well as climate change. The organisms that inhabit lakes are susceptible to environmental change, but our understanding about how biological communities react to simultaneous changes in geochemistry and climate is incomplete. This research investigates how zooplankton communities respond to geochemical changes and warming, on both long-term and seasonal scales. These small organisms are sensitive to changes in physical lake conditions, and variation within zooplankton communities could indicate larger ecosystem shifts. We evaluated …


Cumulative Infiltration And Infiltration Rate Prediction Using Optimized Deep Learning Algorithms: A Study In Western Iran, Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M. Melesse, Ebrahim Omidvar, Chang Wook Lee May 2021

Cumulative Infiltration And Infiltration Rate Prediction Using Optimized Deep Learning Algorithms: A Study In Western Iran, Mahdi Panahi, Khabat Khosravi, Sajjad Ahmad, Somayeh Panahi, Salim Heddam, Assefa M. Melesse, Ebrahim Omidvar, Chang Wook Lee

Civil and Environmental Engineering and Construction Faculty Research

Study region: Sixteen different sites from two provinces (Lorestan and Illam) in the western part of Iran were considered for the field data measurement of cumulative infiltration, infiltration rate, and other effective variables that affect infiltration process. Study focus: Soil infiltration is recognized as a fundamental process of the hydrologic cycle affecting surface runoff, soil erosion, and groundwater recharge. Hence, accurate prediction of the infiltration process is one of the most important tasks in hydrological science. As direct measurement is difficult and costly, and empirical models are inaccurate, the current study proposed a standalone, and optimized deep learning algorithm of …


Qualitative Analysis Of Corequisite Instruction In A Quantitative Reasoning Course, Zachary Beamer May 2021

Qualitative Analysis Of Corequisite Instruction In A Quantitative Reasoning Course, Zachary Beamer

Inquiry: The Journal of the Virginia Community Colleges

In corequisite models of instruction, marginally prepared students are placed directly into college-level coursework, taught with a paired support course. Initial research suggests that such models yield significant improvements in the number of students passing credit-level mathematics when compared to previous models of prerequisite remediation. The present study employs qualitative methods to investigate methods of instruction at one community colleges to understand how instructors identify and respond to student needs. It concludes with recommendations for practice and highlights advantages of small format corequisite classes taught by the same instructor.


Proton Pump Inhibitors Promote Apoptosis In Jurkat T Lymphocytes, Ashley Utz May 2021

Proton Pump Inhibitors Promote Apoptosis In Jurkat T Lymphocytes, Ashley Utz

Student Research Submissions

Cancer cells are known to rely on the anaerobic energy pathway of glycolysis even under normoxic conditions, resulting in measurable intracellular acidification that may trigger cell death by apoptosis. In normal cells, the pH is restored by activation of voltage-gated proton pumps, preventing apoptosis. Proton pump inhibitors (PPIs), such as omeprazole, inhibit the action of these voltage-gated proton pumps. Research has shown that omeprazole is also capable of inducing caspase-dependent apoptosis in Jurkat T-lymphocytes, but this area of study remains largely unexplored. The goal of this research was to determine the temporal dynamics of caspase activity in Jurkat cells treated …


Learning Intermediate Representations For Question Answering Systems, Zakery T. Clarke May 2021

Learning Intermediate Representations For Question Answering Systems, Zakery T. Clarke

Computer Science ETDs

Question answering systems are models that can perform natural language processing (NLP) on a question, retrieve an answer from a datasource, and communicate it to a user. In question answering systems, it is important for the system to learn an underlying representation for a piece of text. There are many systems that have achieved incredible accuracy on question answering datasets such as the Stanford Question and Answer Dataset (SQuAD), but these systems often encode their knowledge in a manner that is impossible to verify. Many current models would benefit more from verifiability, than marginal accuracy improvements.

We propose a method …