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Articles 63421 - 63450 of 713700
Full-Text Articles in Entire DC Network
Teaching Community College Composition Students How To Use Ai Technology Ethically Through The Research Process, Amber H. Mabus
Teaching Community College Composition Students How To Use Ai Technology Ethically Through The Research Process, Amber H. Mabus
Doctor of Arts in English Pedagogy Capstones
Composition and rhetoric instructors' concern about the impact of Generative Artificial Intelligence (GenAI) on education has dramatically amplified since the launch of ChatGPT in November 2022, leading some to fear the end of our discipline as we know it. The controversy surrounding GenAI has led some educators to call for a complete ban on AI programs in the classroom, while others blindly accept what the technology has to offer without considering the risks involved, with a final group resting somewhere in the middle. Inspired by this debate, this study seeks to answer the research question: "Could teaching students how to …
Long-Term Croplands Water Productivity In Response To Management And Climate In The Western Us Corn Belt, M. Khorchani, Tala Awada, M. Schmer, V. Jin, G. Birru, S.R.S. Dangal, Andrew E. Suyker, A. Freidenreich
Long-Term Croplands Water Productivity In Response To Management And Climate In The Western Us Corn Belt, M. Khorchani, Tala Awada, M. Schmer, V. Jin, G. Birru, S.R.S. Dangal, Andrew E. Suyker, A. Freidenreich
School of Natural Resources: Faculty Publications
No abstract provided.
A Quantum Fingerprinting Algorithm For Next Generation Cellular Positioning, Yousef Zook, Ahmed Shokry, Moustafa Youssef
A Quantum Fingerprinting Algorithm For Next Generation Cellular Positioning, Yousef Zook, Ahmed Shokry, Moustafa Youssef
Faculty Journal Articles
No abstract provided.
The Exclusion Of Black Girls: A Quantitative Study, Ursula Moorer
The Exclusion Of Black Girls: A Quantitative Study, Ursula Moorer
Selected Full Text Dissertations, 2011-
Existing research consistently indicates that Black girls are assigned disproportionately exclusionary disciplinary consequences such as, suspension and expulsion rates, surpassing their White counterparts and Black boys. According to the Report to Congressional Requesters, (United States Governmental Accountability Office, 2018), exclusionary discipline is any type of removal from a student’s normal educational setting. This quantitative correlational study examined the relationship between the racial demographics within a school's student and personnel populations and occurrences of suspensions faced by Black female students in grades 9 through 12. Archival data were used from the New York State Education Department (NYSED) website. NYSED data are …
Office For Spiritual And Religious Life End Of Year Report 2023-2024, Lawrence University
Office For Spiritual And Religious Life End Of Year Report 2023-2024, Lawrence University
Spiritual and Religious Life Annual Reports
No abstract provided.
Drop-Out Rates Among First-Generation Undergraduate Students In The United States, Rachel Alger
Drop-Out Rates Among First-Generation Undergraduate Students In The United States, Rachel Alger
Ballard Brief
For first-generation college students, receiving an acceptance letter to an institution of higher education is a milestone: a means to secure economic and social opportunities not afforded to their family members. However, for many first-generation students, college acceptance does not equate to a college credential or degree, with only 27.4% graduating within 4 years. These lower attrition rates stem from a lack of familial financial resources and inadequate academic preparation in high school. Additionally, a different set of rules, jargon, and expectations between home life and institutions of higher education create a 'hidden curriculum' for first-generation students, making college completion …
2024 Travel Study Catalog, Illinois Math And Science Academy
2024 Travel Study Catalog, Illinois Math And Science Academy
Intersession Catalogs
No abstract provided.
Fractional Partial And Integral Differential Equations And Novel Conformable Double (Laplace -Sumudu) Transform, Ahmad Qazza, Shams A. Ahmed, Rania Saadeh, Tarig Elzaki
Fractional Partial And Integral Differential Equations And Novel Conformable Double (Laplace -Sumudu) Transform, Ahmad Qazza, Shams A. Ahmed, Rania Saadeh, Tarig Elzaki
Applied Mathematics & Information Sciences
This article presents a novel methodology for dealing with fractional partial differential equations and fractional integral equations, subject to particular constraints, by combining the Laplace transform with the Sumudu transform. The conformable double Laplace-Sumudu transform (CDLST) method handles integrals and derivatives of fractional orders by using conformable derivatives. In this paper, we present a thorough examination of the fundamental traits and revolutionary developments related to the proposed shift. It is feasible to convert fractional partial differential equations and integral equations into algebraic equations by using the CDLST and its inherent properties. This modification makes finding solutions simpler, enabling quicker and …
Strengthening The Security Of The Kuwait International Airport By Detecting Threats In X-Ray Images, Abdallah S. Mohamed, Adel A. Sewisy, Khaled F. Hussain, Ahmed I. Taloba
Strengthening The Security Of The Kuwait International Airport By Detecting Threats In X-Ray Images, Abdallah S. Mohamed, Adel A. Sewisy, Khaled F. Hussain, Ahmed I. Taloba
Applied Mathematics & Information Sciences
The substantial number of false positives in X-ray analysis of images is one of the current problems, which causes delays and adds to the responsibilities of security staff. Maintaining security measures to confront growing threats and new technology is a continuing concern. Using a Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU) model, this research suggests a novel strategy for upgrading the safety precautions at Kuwait International Airport. This research tackles the requirement for more precise and efficient threat detection, which is crucial for airport security. Utilizing the advantages of CNNs and GRUs is the goal of the CNN-GRU approach. The GRU, …
Novel Fractional Inequalities Of Opial’S Type Via Conformable Calculus, M. R. Kenawy
Novel Fractional Inequalities Of Opial’S Type Via Conformable Calculus, M. R. Kenawy
Applied Mathematics & Information Sciences
In this study, we employ Ho ̈lder’s inequality and the chain rule formula to deduce some Opial fractional inequalities. As a result, for α = 1, we derive numerous classical Opial type inequalities.
Fibonacci Riccati Method For Kdv Models With Dependent Space Time Coefficient, Fadhel Almalki
Fibonacci Riccati Method For Kdv Models With Dependent Space Time Coefficient, Fadhel Almalki
Applied Mathematics & Information Sciences
In this paper a number of findings present various ways of new research with novel class of trigonometric functions which unifies the properties of the well-known standard functions. From our previous knowledge, the important and significant role which investigated by the trigonometric functions in simplifying results in astronomy, physics and engineering, therefore, we may naturally predict that these new studies of trigonometric functions can lead to interpretations and results that have not appeared before and are new in mathematics, physics, biology, engineering and other branches of science. By introducing the variable-coefficient Riccati Fibonacci procedure, we investigate explicit solutions for some …
Odd Generalized Nadarajah-Hagaigai Log-Logistic Model With Modeling, Manal H. Alabdulhadi
Odd Generalized Nadarajah-Hagaigai Log-Logistic Model With Modeling, Manal H. Alabdulhadi
Applied Mathematics & Information Sciences
In this article, we intend to introduce and study the odd generalized Nadarajah-Hagaigai log-logistic (OGNH-LL) model as a new extension of the log-logistic (LL) model. Some statistical features of the OGNH-LL model are computed. The four unknown parameters of the OGNH-LL model are estimated by employing the maximum likelihood (ML) technique. One real-world data set is utilized to highlight the importance and applicability of the OGNH-LL model.
Statistical Inference Of Weighted Exponential Distribution Under Partially Constant-Stress Accelerated Life Tests With Type-Ii Censoring Scheme, Fatimah E. Almuhayfith
Statistical Inference Of Weighted Exponential Distribution Under Partially Constant-Stress Accelerated Life Tests With Type-Ii Censoring Scheme, Fatimah E. Almuhayfith
Applied Mathematics & Information Sciences
This paper aims to adopt partially accelerated life tests model, under Type-II censoring scheme. The model parameters and the parameter of life are estimated by maximum likelihood, and Bayes methods. Approximate confidence interval under asymptotic distribution of maximum likelihood estimate, bootstrap confidence and Bayesian credible intervals are estimated. The developed model and its results are assessed and compared by Monte Carlo simulation study. Finally, a numerical discussion is considered in conclusion section.
Multiple Soliton Solutions Of The Korteweg-De Vries In The Frame Of The Time-Dependent Variable Coefficient, Fadhel Almalki
Multiple Soliton Solutions Of The Korteweg-De Vries In The Frame Of The Time-Dependent Variable Coefficient, Fadhel Almalki
Applied Mathematics & Information Sciences
This paper aims to investigate exact multiple soliton solutions for Korteweg-de Vries (KdV) with variable coefficients. Based on the similarity transformation and some hyperbolic function methods, multiple wave kink and wave bell shape solutions of the KdV with time dependent variable coefficient are analyzed. Results of this study show that the shapes of multiple kink-type and bell-type solitons can be effectively controlled by selecting some specific form of self-similar variables.
Some Recent Research Trends In Fixed Point Theory With Applications, Hasanen A. Hammad
Some Recent Research Trends In Fixed Point Theory With Applications, Hasanen A. Hammad
Applied Mathematics & Information Sciences
Inthisstudy,somefixed-point,coupled,tripled,andquadruplefixed-pointresultsforgeneralizedcontractivetypemappings under mild conditions in the setting of abstract spaces are obtained. Also, we established some solutions to integral equations, functional equations, functional Volterra-Fredholm integral equations, 2D Volterra integral equations, Riemann-Liouville integrals, Atangana- Baleanu integral operators, and the boundary value problem for singular coupled fractional differential equations are established. Moreover, a unique stationary distribution for the Markov process is discussed. Furthermore, a new faster iterative algorithm is created than the previous sober algorithms. The proposed algorithm is used to analyze convergence, stability, and data-dependence results. Finally, two numerical examples are also provided to highlight the behavior and effectiveness of our …
Numerical Treatment Of The Coupled Fractional Mkdv Equations Based On The Adomian Decomposition Technique, Jihan Alahmadi, Bashayer Aldossary, Emad A-B Abdel-Salam
Numerical Treatment Of The Coupled Fractional Mkdv Equations Based On The Adomian Decomposition Technique, Jihan Alahmadi, Bashayer Aldossary, Emad A-B Abdel-Salam
Applied Mathematics & Information Sciences
The present research implements the decomposition Adomian approach of the approximation solution for the nonlinear coupled modification Korteweg-De Vries (KdV) model in space time fractional order with appropriate initial values. This method yields a power series calculation for the solution. This process does not require linearization, the concept of weak nonlinear nature assumption, or perturbation theory. A mathematical software like Mathematica or Maple has been used to evaluate the Adomian formulas of the consequent series solution. This procedure might additionally be applied to resolve various types of fractional order nonlinear mathematical physics models. A graphic discussion is provided regarding the …
Influence Of Non-Homogeneity, Rotation, Magnetic Field, And Initial Stress On Radial Vibrations In Thermo-Viscoelastic Isotropic Media, Mohammed A. Balubaid
Influence Of Non-Homogeneity, Rotation, Magnetic Field, And Initial Stress On Radial Vibrations In Thermo-Viscoelastic Isotropic Media, Mohammed A. Balubaid
Applied Mathematics & Information Sciences
This paper presents an innovative analytical approach to investigate the effects of rotation and initial stress on a magneto- thermo-viscoelastic non-homogeneous medium with a spherical cavity under periodic loading. The study focuses on analyzing the distribution of displacements, temperature, and stresses within the non-homogeneous medium using the generalized thermoelasticity framework based on the GL theory. The derived analytical solutions are extensively discussed, and the results are visually presented to illustrate the influences of rotation, initial stress, relaxation times, magnetic field, viscoelasticity, and non-homogeneity. Furthermore, comprehensive comparisons with prior research are conducted, encompassing scenarios with and without rotation, magnetic field, and …
Mathematical Analysis Of Working Capital Management In Mena Smes: Panel Data Insights, Amer Morshed
Mathematical Analysis Of Working Capital Management In Mena Smes: Panel Data Insights, Amer Morshed
Applied Mathematics & Information Sciences
In this paper, we analyze working capital management strategies (aggressive vs. conservative) employed by 2901 MENA SMEs from 2007-2021, assessing their impact on long-term financial resilience. It offers crucial insights for MENA SMEs navigating their unique economic landscape and contributes to the discourse on developing economies. The findings, particularly relevant amid evolving financial technologies, empower MENA SMEs to refine their strategies and pave the way for further research in this dynamic field.
Comparative Analysis Of Time Series Prediction Models For Visceral Leishmaniasis:Based On Sarima And Lstm, Fathelrhman El Guma
Comparative Analysis Of Time Series Prediction Models For Visceral Leishmaniasis:Based On Sarima And Lstm, Fathelrhman El Guma
Applied Mathematics & Information Sciences
Visceral leishmaniasis, a severe health disorder, is attributed to the microscopic parasite Leishmania. The parasitic illness possesses the capacity to pose a significant risk to human life and exhibits a variable prevalence across people worldwide. Using time series prediction techniques for VL might offer valuable insights to aid public health professionals in strategizing and implementing effective measures for VL prevention. This study presents a comparative analysis of time series forecasting techniques, specifically focusing on two methods: SARIMA and LSTM recurrent neural networks. Forecast performance evaluation involves utilizing monthly VL data acquired from district health offices from January 2000 to December …
Optimizing Preference Satisfaction With Genetic Algorithm In Matching Students To Supervisors, Azamat Serek, Meirambek Zhaparov
Optimizing Preference Satisfaction With Genetic Algorithm In Matching Students To Supervisors, Azamat Serek, Meirambek Zhaparov
Applied Mathematics & Information Sciences
The allocation of students to supervisors is a crucial aspect of higher education, impacting the quality of guidance and support students receive for their academic projects. This paper explores the application of a genetic algorithm to optimize the matching process. The algorithm considers considers psychological compatibility between student and supervisor, and aims for maximization of preference satisfaction of students and supervisors regarding the match. Experimental results demonstrate high preference satisfaction (0.91), indicating effective alignment with students’ preferences. The algorithm’s time and space complexities show scalability, making it a promising solution for large-scale applications. Additionally, the workload distribution results highlight the …
Neutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Predictionneutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Prediction, Olfat M. Mirza, Ahmed H. Samak
Neutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Predictionneutrosophic Fuzzy Logic-Based Hybrid Cnn- Lstm For Accurate Chest X-Ray Classification In Covid-19 Prediction, Olfat M. Mirza, Ahmed H. Samak
Applied Mathematics & Information Sciences
The necessity for sophisticated and precise diagnostic instruments for the prompt recognition of COVID-19 patients has been highlighted by the continuing worldwide epidemic. In this regard, this study presents a unique method for accurately classifying X-ray images of chest in COVID-19 prediction by combining Neutrosophic Fuzzy Logic with a Hybrid CNN and LSTM architecture. Medical image analysis involves uncertainties and imprecise information, which is handled via Neutrosophic Fuzzy Logic. The suggested hybrid model offers a thorough comprehension of the spatial and temporal patterns in chest X-ray pictures by utilizing the advantages of CNN for feature extraction and LSTM for sequential …
Artificial Intelligence-Based Penetration Analysis Of Mental Health Education In Higher Vocational Culinary Chinese Education, Xu Zhang, Fuyuan Weng
Artificial Intelligence-Based Penetration Analysis Of Mental Health Education In Higher Vocational Culinary Chinese Education, Xu Zhang, Fuyuan Weng
Applied Mathematics & Information Sciences
In China, mental health education for students is currently a prominent focus of psychological research. On the other hand, recent studies use a questionnaire evaluation and analysis to examine students capacity to acclimate to the college experience. A thorough examination of psychological education had conflicting results. As a result, this research emphasizes how Chinese language instruction affects culinary vocational students views of mental health education. For this study, student and education datasets are first obtained. The education dataset is normalized using the normalization approach in the preparation step to remove any unnecessary education data. After that, at the feature extraction …
The Impact Of Cybersecurity On The Quality Of Financial Statements, Saad A. Kareem Alsakini, Hanan Ali Alawawdeh, Saleh Alsayyed
The Impact Of Cybersecurity On The Quality Of Financial Statements, Saad A. Kareem Alsakini, Hanan Ali Alawawdeh, Saleh Alsayyed
Applied Mathematics & Information Sciences
Banks and other financial institutions in Jordan are prone to continuous cybersecurity breaches on their financial accounting statements. The impact of cybersecurity breaches on financial statements is directly related to accounting informations susceptibility to cyber-hackers. Cybersecurity breaches affect the quality of financial accounting statements. Thus, this study aims to investigate the impact of cybersecurity on the quality of financial accounting statements among selected banks in Jordan. Two types of datasets and sampling approaches were used. The primary approach consists of 506 data points about cybersecurity breaches at three banks in Jordan from 2012 to 2022, while the secondary approach employs …
A Single-Photon Lidar Observes Atmospheric Clouds At Decimeter Scales: Resolving Droplet Activation Within Cloud Base, Fan Yang, Alexander B. Kostinski, Zeen Zhu, Katia Lamer, Edward Luke, Pavlos Kollias, Yong Meng Sua, Pei Hou, Raymond Shaw, Andrew M. Vogelmann
A Single-Photon Lidar Observes Atmospheric Clouds At Decimeter Scales: Resolving Droplet Activation Within Cloud Base, Fan Yang, Alexander B. Kostinski, Zeen Zhu, Katia Lamer, Edward Luke, Pavlos Kollias, Yong Meng Sua, Pei Hou, Raymond Shaw, Andrew M. Vogelmann
Michigan Tech Research Data
Clouds, crucial for understanding climate, begin with droplet formation from aerosols, but observations of this fleeting activation step are lacking in the atmosphere. Here we use a time-gated time-correlated single-photon counting lidar to observe cloud base structures at decimeter scales. Results show that the air-cloud interface is not a perfect boundary but rather is a transition zone where transformation of aerosol particles into cloud droplets occurs. The observed distributions of first-arriving photons within the transition zone reflect vertical development of a cloud, including droplet activation and condensational growth. Further, the highly resolved vertical profile of backscattered photons above cloud base …
2024-2025 Operating Budget, Morehead State University. Budget & Financial Planning Office.
2024-2025 Operating Budget, Morehead State University. Budget & Financial Planning Office.
Morehead State University Operating Budgets Archive
2024-2025 Operating Budget of Morehead State University.
Portfolio Optimization With Risk Management Through Dividend-Paying Stocks, Timothy Cunningham
Portfolio Optimization With Risk Management Through Dividend-Paying Stocks, Timothy Cunningham
Theses and Dissertations
The research conducted in this study centers around the crossover of portfolio optimization with risk management through dividend paying stocks. To accomplish this, data was taken from the past to show how certain dividend paying stocks and ETFs have performed against the whole of the market. The study includes the possible benefits that would be achieved through the reinvestment of the paid dividends back into the companies that paid those dividends. This study discusses risk management in a portfolio, which involves employing strategies to mitigate potential risks that could impact investment performance. By diversifying across asset classes, investors aim to …
Enhancing Biomedical Semantic Content Authoring Through Knowledge Representation, Sebastian Chalarca
Enhancing Biomedical Semantic Content Authoring Through Knowledge Representation, Sebastian Chalarca
Theses and Dissertations
The rise in online biomedical information has led to challenges in data retrieval, primarily due to insufficient semantic metadata. While semantic annotators have advanced in addressing this problem, they still lack accuracy, speed, and, most importantly, dynamic knowledge representation—an essential aspect of AI that enables human-like reasoning. Several techniques to achieve knowledge representation, such as Knowledge Graphs, have been introduced to improve current systems in many domains, including the biomedical domain. Knowledge Graphs, recognized for their semantic richness, show promise in enhancing the biomedical semantic annotation process. We propose a knowledge graph-based recommendation system, augmented with NLP for search queries, …
Ameliorating School Experience With Restorative Practices, Faith Thompson-Lee
Ameliorating School Experience With Restorative Practices, Faith Thompson-Lee
Theses and Dissertations
The purpose of this quantitative, non-experimental study was to explore the association between school success after the tier-one introduction of a three-tiered restorative practices program. To understand school success, student factors were examined using middle school data from a suburban school district located outside of a large metropolitan city in the northeastern part of the United States. These factors included achievement (Final GPA), attendance (Absences), and suspensions (In-school and Out-of-school) across racial groups. Separate multiple regressions were conducted for each school success factor on racial group for the 2021-2022 and the 2022-2023 school years. By this time, all district staff …
The Impact Of Teacher Development, Student Self-Efficacy, And Student Access And Effort On Fourth-Grade Math Achievement, Steven Borst
The Impact Of Teacher Development, Student Self-Efficacy, And Student Access And Effort On Fourth-Grade Math Achievement, Steven Borst
Theses and Dissertations
This study examines the effects of self-efficacy, students’ effort and access to educational resources, and teachers’ development on the achievement of elementary school students in mathematics. Using the 2013 National Assessment of Educational Progress (NAEP) restricted data set, this study determined if and how these three aspects individually and in combination affected performance on the fourth-grade NAEP math assessment. The NAEP is referred to as The Nation’s Report Card, guiding educational practice and policy through the assessment of a large, diverse sample from the entire United States (NAEP, 2013a). This non-experimental study addresses the issues of declining test scores in …
Leadership In Two-Way Dual Language Programs: Administrative Decision Making In Elementary Two-Way Dual Language Programs, Ana R. Martínez-Fuentes
Leadership In Two-Way Dual Language Programs: Administrative Decision Making In Elementary Two-Way Dual Language Programs, Ana R. Martínez-Fuentes
Theses and Dissertations
With an increase of English language learners in public schools across the United States, the importance of addressing the needs of students who require language access in their home language has resulted in an increase in the implementation of dual language programs. This increase continues to challenge educators to provide effective programs that provide quality instruction for English language learners. This has prompted schools to offer a two-way dual language program as an educational bilingual option to assist in meeting the needs of emergent bilingual students. In this qualitative case study, the researcher explored the extent to which school principals’ …