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Articles 89551 - 89580 of 719871
Full-Text Articles in Entire DC Network
The Gazette March 1, 2023, Langston University
The Gazette March 1, 2023, Langston University
LU Gazette, 2020-2029
The student newspaper for Langston University
How Exemplary Title I Elementary School Principals Lead With An Infinite Mindset, Lindsey Rae Gatfield
How Exemplary Title I Elementary School Principals Lead With An Infinite Mindset, Lindsey Rae Gatfield
Dissertations
Purpose: The purpose of this study was to explore and describe how exemplary Title I elementary school principals perceive practices of Sinek’s infinite mindset framework are embedded in their organization to inspire achievement of extraordinary results. A further purpose of this study was to understand organizational supports and barriers exemplary Title I elementary school principals perceive affect infinite mindset development. Methodology: This phenomenological study explored experiences of exemplary leaders and their perceptions of how the five practices of infinite mindset are embedded in their organization. The target population for this study was exemplary Title I elementary school principals in Orange …
The Afit Engineer, Volume 5, Issue 1, Graduate School Of Engineering And Management, Air Force Institute Of Technology
The Afit Engineer, Volume 5, Issue 1, Graduate School Of Engineering And Management, Air Force Institute Of Technology
AFIT Documents
In this issue:
- 2023 Graduation
- WMD research at AFIT
- NOAA aerosol research at AFIT
- AFIT Model Shop
The U.S. Integrated Ocean Observing System (Ioos): A Prototype User Valuation, Charles S. Colgan, Castelletto Anthony
The U.S. Integrated Ocean Observing System (Ioos): A Prototype User Valuation, Charles S. Colgan, Castelletto Anthony
Publications
The Integrated Ocean Observing System of the United States provides a large variety of oceanographic and related data at no charge through 11 Regional Associations. Since the data is distributed without price it is difficult to determine the economic value of the data. That value is useful in explaining and justifying the investment in ocean observing. This study applies discrete choice modeling to determine valuation of the data for users of data through the RA websites. The study found annual values of $190 to $220 million, and these estimates are considered highly conservative. A guide for replication of the valuation …
Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao
Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we develop and analyze a finite element projection method for magnetohydrodynamics equations in Lipschitz domain. A fully discrete scheme based on Euler semi-implicit method is proposed, in which continuous elements are used to approximate the Navier–Stokes equations and H(curl) conforming Nédélec edge elements are used to approximate the magnetic equation. One key point of the projection method is to be compatible with two different spaces for calculating velocity, which leads one to obtain the pressure by solving a Poisson equation. The results show that the proposed projection scheme meets a discrete energy stability. In addition, with the …
Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao
Error Analysis Of A Fully Discrete Projection Method For Magnetohydrodynamic System, Qianqian Ding, Xiaoming He, Xiaonian Long, Shipeng Mao
Mathematics and Statistics Faculty Research & Creative Works
In this paper, we develop and analyze a finite element projection method for magnetohydrodynamics equations in Lipschitz domain. A fully discrete scheme based on Euler semi-implicit method is proposed, in which continuous elements are used to approximate the Navier–Stokes equations and H(curl) conforming Nédélec edge elements are used to approximate the magnetic equation. One key point of the projection method is to be compatible with two different spaces for calculating velocity, which leads one to obtain the pressure by solving a Poisson equation. The results show that the proposed projection scheme meets a discrete energy stability. In addition, with the …
Pan-Arctic Soil Moisture Control On Tundra Carbon Sequestration And Plant Productivity, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Beniamino Gioli, Barbara Bailey, George Burba, Eugénie S. Euskirchen, Jennifer D. Watts, Kyle A. Arndt, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Albertus J. Dolman, Roisin Commane, Charles E. Miller, Josh Hashemi, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Elyn R. Humphreys, Oliver Sonnentag, Gesa Meyer, Gabriel H. Gosselin, Philip Marsh, Walter C. Oechel
Pan-Arctic Soil Moisture Control On Tundra Carbon Sequestration And Plant Productivity, Donatella Zona, Peter M. Lafleur, Koen Hufkens, Beniamino Gioli, Barbara Bailey, George Burba, Eugénie S. Euskirchen, Jennifer D. Watts, Kyle A. Arndt, Mary Farina, John S. Kimball, Martin Heimann, Mathias Göckede, Martijn Pallandt, Torben R. Christensen, Mikhail Mastepanov, Efrén López-Blanco, Albertus J. Dolman, Roisin Commane, Charles E. Miller, Josh Hashemi, Lars Kutzbach, David Holl, Julia Boike, Christian Wille, Torsten Sachs, Aram Kalhori, Elyn R. Humphreys, Oliver Sonnentag, Gesa Meyer, Gabriel H. Gosselin, Philip Marsh, Walter C. Oechel
Daugherty Water for Food Global Institute: Faculty Publications
Long-term atmospheric CO2 concentration records have suggested a reduction in the positive effect of warming on high-latitude carbon uptake since the 1990s. A variety of mechanisms have been proposed to explain the reduced net carbon sink of northern ecosystems with increased air temperature, including water stress on vegetation and increased respiration over recent decades. However, the lack of consistent long-term carbon flux and in situ soil moisture data has severely limited our ability to identify the mechanisms responsible for the recent reduced carbon sink strength. In this study, we used a record of nearly 100 site-years of eddy covariance …
Creating A Path To Regulation -- Digital Assets, Howey And The Regulatory Dilemma, Gunjan D. Devnani
Creating A Path To Regulation -- Digital Assets, Howey And The Regulatory Dilemma, Gunjan D. Devnani
North Carolina Banking Institute
No abstract provided.
Hypothalamic Menin Regulates Systemic Aging And Cognitive Decline, Lige Leng, Et. Al, Jingqi Yan, Jie Zhang
Hypothalamic Menin Regulates Systemic Aging And Cognitive Decline, Lige Leng, Et. Al, Jingqi Yan, Jie Zhang
Biological, Geological, and Environmental Faculty Publications
Aging is a systemic process, which is a risk factor for impaired physiological functions, and finally death. The molecular mechanisms driving aging process and the associated cognitive decline are not fully understood. The hypothalamus acts as the arbiter that orchestrates systemic aging through neuroinflammatory signaling. Our recent findings revealed that Menin plays important roles in neuroinflammation and brain development. Here, we found that the hypothalamic Menin signaling diminished in aged mice, which correlates with systemic aging and cognitive deficits. Restoring Menin expression in ventromedial nucleus of hypothalamus (VMH) of aged mice extended lifespan, improved learning and memory, and ameliorated aging …
The Learning Log, March 2023, Lindenwood University
The Learning Log, March 2023, Lindenwood University
Learning Log
The Learning Log is the electronic newsletter of the Lindenwood University Learning Academy.
Wofford Today Spring 2023, Wofford College. Office Of Marketing And Communications
Wofford Today Spring 2023, Wofford College. Office Of Marketing And Communications
Wofford Today
No abstract provided.
Connections, 2022, University Of Montana--Missoula. Mansfield Library
Connections, 2022, University Of Montana--Missoula. Mansfield Library
Connections
No abstract provided.
Predicting Mobility Using Limited Data During Early Stages Of A Pandemic, Michael T. Lash, S. Sajeesh, Özgür M. Araz
Predicting Mobility Using Limited Data During Early Stages Of A Pandemic, Michael T. Lash, S. Sajeesh, Özgür M. Araz
Department of Marketing: Faculty Publications
The COVID-19 pandemic has changed consumer behavior substantially. In this study, we explore the drivers of consumer mobility in several metropolitan areas in the United States under the perceived risks of COVID-19. We capture multiple dimensions of perceived risk using local and national cases and death counts of COVID-19, along with real-time Google Trends data for personal protective equipment (PPE). While Google Trends data are popular inputs in many studies, the risk of multicollinearity escalates with the addition of more relevant terms. Therefore, multicollinearity-alleviating methods are needed to appropriately leverage information provided by Google Trends data. We develop and utilize …
Online Education And Managing Service Quality With The Challenges Of Covid 19: The Case Of University Of Business And Technology (Ubt) Saudi Arabia, Mohammad Kanan, Ayman Zerban, Salah Abunar, Ameen El Harbi, Gamal Weheba, Ramiz Assaf
Online Education And Managing Service Quality With The Challenges Of Covid 19: The Case Of University Of Business And Technology (Ubt) Saudi Arabia, Mohammad Kanan, Ayman Zerban, Salah Abunar, Ameen El Harbi, Gamal Weheba, Ramiz Assaf
Applied Mathematics & Information Sciences
With the pandemic of COVID 19 hitting global economy and forcing social distance, all sectors were exposed to the wave. The educational sector is not exceptional, most universities were forced to adopt online education with the lack of experience necessary needed. This step was like walking blind in a foggy road without realizing the suitability of this service or how to satisfy students. The pandemic spread of Novel Corona Virus (COVID-19) has created stress, anxiety, and several concerns among people around the world. It is disrupting every aspect of human life including education. Since customer satisfaction has always been linked …
Semi-Analytical Technique To Study The Dynamics Of Low Earth Satellites Under Gravitational Perturbations Using Universal Variables, A. B. Yassen, A. H. Ibrahim, M. Radwan, W. N. Ahmed
Semi-Analytical Technique To Study The Dynamics Of Low Earth Satellites Under Gravitational Perturbations Using Universal Variables, A. B. Yassen, A. H. Ibrahim, M. Radwan, W. N. Ahmed
Applied Mathematics & Information Sciences
Low-altitude Earth orbits provide important benefits for space missions. Among these benefits are the high-resolution images and resupply. In the present work, we studied the dynamics of Earth satellites that move in low orbits. The force model comprises the gravitational resonance 13:1, besides the Earth’s gravitational potential up to the second degree and order. In order to avoid the appearance of singularities, the quasi-Hamiltonian equations of motion are formulated in terms of non-singular universal variables instead of Delaunay variables. We integrated numerically the equations of motion and performed some numerical simulations. It is found that the variations in eccentricity and …
Some Differential Identities For Rings Involving Prime Ideals, J. J. Jaraden, B. N. Al-Hasanat, L. Oukhtite, I. A. Al-Lawama
Some Differential Identities For Rings Involving Prime Ideals, J. J. Jaraden, B. N. Al-Hasanat, L. Oukhtite, I. A. Al-Lawama
Applied Mathematics & Information Sciences
In many studies on ring structures, derivations are found to play a significant role in determining commutativity. In this paper we show the commutativity of a prime ring using certain identities on the generalized semi-derivation of such ring. The considered derivation maps will be either centralizing or commuting. We intend to propose such results as a new method to demonstrate prime ring commutativity.
Nonmagnetic Negative Refractive Index Media Based On Chalcogenide Glasses, N. Boutabba
Nonmagnetic Negative Refractive Index Media Based On Chalcogenide Glasses, N. Boutabba
Applied Mathematics & Information Sciences
We report in this work the study of the permittivity and the losses in non-linear nonmagnetic negative refractive index media. We analyze the permittivity and the losses dependence on the inclusion number of the particles used in the suggested media that is made by interlacing plasmonic metallic particles and a dielectric. We show that the exhibition of a negative permittivity in these strongly anisotropic media depends not only on the inclusion number of the particles and the frequency range but also on the oscillation frequency of free electrons in the metal which plays the major role. We finally suggest the …
A Preliminary Volterra Lotka Model Analysing Cancer, Intracellular Parasite, And Immune Cells Interaction, Nadia Boutabba, Gehan Abuelenain
A Preliminary Volterra Lotka Model Analysing Cancer, Intracellular Parasite, And Immune Cells Interaction, Nadia Boutabba, Gehan Abuelenain
Applied Mathematics & Information Sciences
In this paper, we investigate the dynamics of immune and tumor cell densities in the presence of a parasite using the prey- predator Volterra-Lotka model in a biological system, assuming that the parasite is either a down or up-regulator of the induced immune cells. Thus, we analysed the model for equal and non equal initial conditions and report their impact on the populations growth.
Ola Distribution: A New One Parameter Model With Applications To Engineering And Covid-19 Data, Ola Al-Ta’Ani, Mohammed M. Gharaibeh
Ola Distribution: A New One Parameter Model With Applications To Engineering And Covid-19 Data, Ola Al-Ta’Ani, Mohammed M. Gharaibeh
Applied Mathematics & Information Sciences
We employed the notion of mixture distributions to suggest a new one parameter continuous distribution for modeling real lifetime data called Ola Distribution. Its properties are explored including moments and related measures, moment generating function, reliability analysis functions, order statistics, Bonferroni and Lorenz curves, stochastic ordering, Re ́nyi entropy and mean deviations. The maximum likelihood method is adapted to estimate the parameter of the distribution. Applications to engineering and COVID- 19 data sets are presented to illustrate the usefulness of the suggested distribution. The applications showed that Ola distribution outperforms some competitive distributions and can be considered as a useful …
Numerical Solution For The Sin-Gordon Equation Using The Finite Difference Method And The Non-Stander Finite Difference Method, K. R. Raslan, A. A. Soliman, Khalid K. Ali, M. Gaber, Soma R. Almhdy
Numerical Solution For The Sin-Gordon Equation Using The Finite Difference Method And The Non-Stander Finite Difference Method, K. R. Raslan, A. A. Soliman, Khalid K. Ali, M. Gaber, Soma R. Almhdy
Applied Mathematics & Information Sciences
In this paper, We study the non-linear sin Gordon equation as a numerical solution using two methods.: the finite differences method and the non-standard finite differences method. A comparison is presented between the numerical results of both methods.The stability of two schemes is conditionally stable.Some tables and figures are presented to illustrate our results.
Predictive Analysis Of Misuse Of Alcohol And Drugs Using Machine Learning Algorithms: The Case Of Using An Imbalanced Dataset From South Africa, Alexander Boateng, Christopher Odoom, Eric Teye Mensah, Sarah Mensah Fobi, Daniel Maposa
Predictive Analysis Of Misuse Of Alcohol And Drugs Using Machine Learning Algorithms: The Case Of Using An Imbalanced Dataset From South Africa, Alexander Boateng, Christopher Odoom, Eric Teye Mensah, Sarah Mensah Fobi, Daniel Maposa
Applied Mathematics & Information Sciences
Drug and alcohol misuse has become a significant global distraction to the development of the youths and future leaders, especially in South Africa. The ideal solution to these unhealthy practices is for institutions, governments, and individuals to put preventive measures such as counselling, sanctions, and fines to help control drug and alcohol misuse. However, it is challenging to know the group of people or individuals engaged in such deteriorating activities by merely monitoring individuals physically. It makes it difficult even to plan the measures to control the issue. Therefore this paper has applied and compared six supervised machine learning algorithms …
E-Learning Innovation In The Institutions Of Jordans Higher Education: A Case Study, Nouh Alhindawi
E-Learning Innovation In The Institutions Of Jordans Higher Education: A Case Study, Nouh Alhindawi
Applied Mathematics & Information Sciences
eLearning has gained widespread popularity in recent years due to its convenience and flexibility. In Jordan, the higher education institutions have embraced e-learning and have implemented various innovations in their e-learning programs, based on a national plan for embedding online learning (full and blended) in the higher education system. These innovations include the use of new technologies and tools, collaboration with industry partners, utilization of Open Educational Resources (OER), incorporation of experiential learning, and implementation of personalized and adaptive learning. These approaches have helped to enhance the quality and effectiveness of e-learning programs, and have ensured that they meet the …
Predicting The Behavior Of Solar Energy In Tulkarm City Using Markov Chains And Fuzzy Markov Chains, Saed Mallak, Mohammad Kanan, Samer Alsadi, Ghadeer Sabbah, Siraj Zahran, Hani Attar
Predicting The Behavior Of Solar Energy In Tulkarm City Using Markov Chains And Fuzzy Markov Chains, Saed Mallak, Mohammad Kanan, Samer Alsadi, Ghadeer Sabbah, Siraj Zahran, Hani Attar
Applied Mathematics & Information Sciences
In this paper, we predict the behavior of solar energy in Tulkarm city, Palestine, using Markov chains and fuzzy Markov chains. Relying on solar radiation data in Tulkarm city during 2013–2016, two models are built that correspond to each season. A year is divided into four seasons, each of which consists of three months. Data from the period 2013–2015 are used to build the models, whereas data from 2016 is compared with the results. The accuracy of the models was better in the summer and winter.
Novel Framework For Selecting Cloud Provider Using Neutrosophic And Modified Gan, Mohammed Attya, Ahmed S. Sakr, H. M. Abdulkader, Faisal Al-Showaikh, M. Kamel El-Sayed
Novel Framework For Selecting Cloud Provider Using Neutrosophic And Modified Gan, Mohammed Attya, Ahmed S. Sakr, H. M. Abdulkader, Faisal Al-Showaikh, M. Kamel El-Sayed
Applied Mathematics & Information Sciences
Cloud computing is very important for many companies in the process of progress. The main problem for any company when transferring their work to the cloud is selecting the most suitable cloud provider among the availability of different cloud service providers with different properties and different alternatives. This paper introduces a novel framework that can be used for selecting the most suitable provider in the case of missing values in the evaluation of alternatives. The framework is composed of two steps; the first step in the framework is about using the Modified Generative Adversarial Network (M-GAN) for data imputation of …
Automated Classification Of The Sybil Attack In Blockchain Network Using Multi Neural Memory Network Classifier, D. Nancy Kirupanithi, A. Antonidoss, G. Subathra
Automated Classification Of The Sybil Attack In Blockchain Network Using Multi Neural Memory Network Classifier, D. Nancy Kirupanithi, A. Antonidoss, G. Subathra
Applied Mathematics & Information Sciences
Block chain technology is a distributed form of digital record that does not need any central authority. As all the information available in the block chain are transparent, everyone can see it. Since blockchain technology is almost hack-proof, it has attracted several industries like business, academia, government, and healthcare. Common concerns regarding Blockchain technology’s impact on privacy and security are unfounded, and may be attacked in a number of ways. We discovered that the Sybil attack has a significant effect on public/permissionless blockchains because an attacker may undermine the blockchain by generating a large number of pseudonymous identities (i.e. Fake …
Maximum Symmetric Division Deg Index Of Cactus Graphs With A Fixed Number Of Cycles And Order, Abeer M. Albalahi
Maximum Symmetric Division Deg Index Of Cactus Graphs With A Fixed Number Of Cycles And Order, Abeer M. Albalahi
Applied Mathematics & Information Sciences
The symmetric division deg (SDD) index of a graph G is the addition of the numbers (dvdu)−1[(dv)2 +(du)2] over all the edges uv of G, where dv and du represent degrees of the vertices v and u, respectively. A connected graph in which every edge lies on at most one cycle is usually referred to as a cactus graph. (Every tree as well as every unicyclic graph is a cactus graph; the converse is not generally true.) The primary goal of the present paper is to characterize the unique graph possessing the maximum value of the SDD index over the …
Fuzzy Contra Gprw-Continuous Mappings, Firdose Habib, Ali Akgu ̈L, Abdulrahman M. Alansari, Wasan Shakir Awad
Fuzzy Contra Gprw-Continuous Mappings, Firdose Habib, Ali Akgu ̈L, Abdulrahman M. Alansari, Wasan Shakir Awad
Applied Mathematics & Information Sciences
t: In this manuscript new types of fuzzy mappings namely fuzzy contra gprw-continuous mappings have been introduced & investigated. Also we found out its relation with various other fuzzy contra mappings introduced earlier. We also introduced fuzzy contra gprw-open mappings and fuzzy contra gprw-closed mappings in this paper.
On The Robustness Of Right Truncated Esscher Transformed Laplace Distribution, K. Krishnakumari, D. George
On The Robustness Of Right Truncated Esscher Transformed Laplace Distribution, K. Krishnakumari, D. George
Applied Mathematics & Information Sciences
Truncation arises in many practical situations such as Epidemiology, Material science, Psychology, Social Sciences and Statistics where one wants to study about data which lie above or below a certain threshold or within a specified range. Right truncation often happens when an event/source is detected if its measurement is less than a truncation variable. The present study aims to introduce a right truncated version of an asymmetric and heavy tailed distribution namely, Esscher transformed Laplace distribution beyond the interval (−∞,b). Various distributional and reliability properties of the proposed distribution are investigated. The performance of η, the parameter, is estimated using …
Survey On Linear Integral Equations And The Laguerre Polynomials, Muhammad Hakim Ali Qasmi, Ali Hasan, Ali Akgu ̈L, Muhammad Farman, Salem M. Aljazzar, Faisal Al-Showaikh
Survey On Linear Integral Equations And The Laguerre Polynomials, Muhammad Hakim Ali Qasmi, Ali Hasan, Ali Akgu ̈L, Muhammad Farman, Salem M. Aljazzar, Faisal Al-Showaikh
Applied Mathematics & Information Sciences
In this paper, we dealt with Integral Equations (IEs). Many real-world problems are modeled in the form of IEs. Nowadays, IEs are used frequently as a replacement for Differential Equations. There are various methods to deal with IEs such as ADM, VIM, and HPM, etc. Here in this work, we used Galerkin Method. In this method, we considered Laguerre Polynomials (some other polynomials may also be used). In the method, the Galerkin equation is solved by using Maple Code for getting unknown constants, solutions, and Graphs.
Fractional Order Glucose Insulin Model With Generalized Mittag-Leffler Kernel, Ali Akgül, Muhammad Farman, Aqeel Ahmad, Adnan Khan, Siraj Zahran, Wasan Shakir Awad
Fractional Order Glucose Insulin Model With Generalized Mittag-Leffler Kernel, Ali Akgül, Muhammad Farman, Aqeel Ahmad, Adnan Khan, Siraj Zahran, Wasan Shakir Awad
Applied Mathematics & Information Sciences
In this paper, We formulate a fractional-order mathematical model for the populations of diabetic patients consist three- compartment G, X, and I. Diabetes Model is investigated with fractal-fractional operator for normal and type-1 diabetes. Also, the deterministic mathematical model for diabetes mellitus is investigated with the effect of the fractional parameters. Solutions are derived to investigate the influence of fractional operator which shows the impact of the disease for type-1 diabetes. The existence and uniqueness results of the fractional-order model are derived using fixed point theory. Simulation has been made for developed solutions of fractional order diabetes model to check …