Digital Commons Network^™

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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’ …

Teachers’ Perspective On Social-Emotional Learning Through The Responsive Classroom Approach For Elementary Students During A Traumatic Event, Sheena Burke

Theses and Dissertations

Social-emotional learning (SEL) has become a significant concern for schools across the United States and abroad, especially during the COVID-19 pandemic. Research suggests that school support is necessary for students to succeed academically and emotionally. In recognition of this need, the New York State Education Department mandated schools to implement a SEL program that focuses on developing self-awareness, self-management, social awareness, relationships, and responsible decision-making skills. Many SEL programs have been researched to determine their effectiveness in affecting students’ overall well-being. This phenomenological study used interviews with K–6 Responsive Classroom teachers in the Tri-State Area to determine the benefits of …

The Influence Of Computational Thinking On New York State Geometry Regents Proficiency Rates, Joseph Crifo

Theses and Dissertations

The present study was conducted to determine how implementing computational thinking (via a proxy in AP Computer Science Principles) into a school’s curriculum impacted student proficiency rates on the New York State Geometry Regents. Recent research has suggested that computational thinking is a skill that transcends specific content areas and can influence student learning outcomes across multiple disciplines. By equipping students with these skills, each individual’s zone of proximal development may increase, leading to increased learning efficiency. Given the rise of technology and the need for computational literacy, schools are looking to implement courses to help students develop these skills. …

A Phenomenological Study Investigating The Impact Of Parents' Attitudes Toward Science Upon Their Adult Childrens' Pursuit Of A Science Degree From A Suburban Community College In New York, Kevin Costa

Theses and Dissertations

This interpretative qualitative study delves into adult children's experiences pursuing science degrees, exploring how parental attitudes influence their persistence in higher education. Conducted at a suburban New York community college, the research employs Interpretative Phenomenological Analysis through questionnaires, interviews, and artifact analysis. Findings reveal that parental encouragement positively motivates participants, while financial stability and familial experiences significantly impact academic decisions. Participants perceive their parents' attitudes toward learning as mostly positive, shaping their own educational orientations. The study extends Bowen's theory by illustrating how parental attitudes contribute to perceptions of employment and financial stability. Additionally, Bandura's social learning theory underscores the …

Comparison Of The Implementation Of Evidence-Based Practices For Students With Disabilities In Transition Planning, Geri Weinstein

Theses and Dissertations

This study used a non-experiment, ex post facto design analysis of survey responses to examine the difference between school districts that met and did not meet New York State: State performance plan Indicator 13- secondary transition; and Indicator 14 - post-school outcomes in special education providers’ self-reported use of evidence-based practices (EBP). A total of 37 respondents across four school districts in Long Island participated in completing the forty-six-question survey created by Mazzotti and Plotner (2014). The survey examines the relationship between transition service providers and the utility of EBP and the relationship to the school district’s compliance with Indicators …

Classroom Communication Practices With Young English Learners In Mathematics, Shaoru Liang

Theses and Dissertations

The National Council of Teachers of Mathematics (2000) emphasizes the importance of communication in mathematics and mathematics education. Effective mathematical communication is essential in mathematics instruction, as it is a collaborative and social activity between teachers and students (Moschkovich, 2002; Khairunnisa et al., 2020). This qualitative case study aimed to investigate how elementary school teachers facilitated meaningful mathematical discourse among English learners (ELs) with diverse backgrounds and how they used purposeful questioning strategies to accommodate students with varying levels of linguistic proficiency in culturally and linguistically diverse classrooms. The study also explored teachers’ perceptions of supporting young ELs to enhance …

Teachers’ Ability To Implement Critical Thinking Skills In The Elementary Classroom: A Mixed Methods Study, Gretchen Schaentzler

Theses and Dissertations

The purpose of this current explanatory sequential mixed methods study was to explore the perceived abilities of teaching critical thinking as reported by teachers and the actual lived experiences of classroom teachers within the elementary classroom. Kindergarten through fourth grade elementary teachers completed the Critical Thinking in the Elementary Classroom survey to determine their perceptions of their ability to implement critical thinking methodology within their classroom. The findings of the survey indicated that the number of years teaching experience did not have an effect on teachers’ perceived ability to implement teaching critical thinking skills sets or dispositions in the classroom. …

An Analysis Of Traditional Sports Stadium Security And Facial Recognition Biometrics Towards The Prevention Of Crime And Violence In Sports Arenas, Darnell R. Downes

Theses and Dissertations

This qualitative descriptive study sought to determine how stadium security managers perceive and describe their experiences with biometric security systems, especially facial recognition software, to mitigate crime and violent behaviors in sports stadiums on the east coast of the U.S. The problem that was addressed in the study is that despite the increase in violence and crime in sports stadiums and the use of biometric systems, it is not known how stadium security managers perceive and describe their experiences with biometric systems in mitigating crime and violence in and around sports stadiums on the east coast of the U.S. Interviews …

Girl Power: How Can School Counselors Empower Female Students To Study Stem-Related Majors In College And Beyond?, Carly Bank

Theses and Dissertations

There is a gender gap among females studying STEM ( Technology, Engineering and Math) majors and pursuing STEM careers. More males than females pursue these majors and careers. This study explore d how high school counselors influence the choices of STEM majors for female students. The researcher explored the perspectives of seven experienced high school counselors who work with students on college exploration and career planning activities in this multi case study. The processes these counselors apply when working with female students and improving these practices so school counselors can better support their students was examined. Key findings of this …

An Analysis Of New York State Education Funding As It Relates To Minority Student Achievement, Linda Elizabeth Macias

Theses and Dissertations

he purpose of this nonexperimental quantitative study was to explore the relationship between New York State education funding for public school districts, the academic achievement of Black and Latinx students, and educational opportunity gaps that may result from a lack of access to Advanced Placement courses. These relationships were assessed with multiple linear regressions using the variables of student enrollment rates by race, English and math proficiency scores, the number of Advanced Placement, and levels of state education funding per district. The data were obtained from New York State Education Department financial reporting. The problem addressed by this study was …

A Person-Centered Approach To The Mediating Effect Of Attention On Personality Similarity And Preference Using Eye-Tracking Technology, Gabriel Jose Sanchez

Theses and Dissertations

Similarity between personality traits has been observed to be predictive of preference and desirability in social relationships in various situations. Much of the research has approached detecting personality similarity on a trait-specific level using the Five Factor Model of personality or more recently by grouping individual personalities into clustered profiles using latent profile analysis. This study of 93 participants took a person-centered approach by detecting individual differences between participants’ personality profiles and target person profiles using Euclidean distance as a dissimilarity index. We then proposed attention as a mediating factor behind the observed association between personality similarity and preference. Using …

Pisa Capacity Needs Assessment: Tajikistan, Dushanbe, Ian Teo

OECD Programme for International Student Assessment (PISA)

This report presents detailed findings of a Capacity Needs Assessment (CNA) for Tajikistan, carried out to gain information about Tajikistan's capacity assets and needs to implement the Programme for International Student Assessment (PISA) 2025 successfully. It focuses on Tajikistan's National Project Manager and key PISA National Centre roles. The capacity assets and needs are structured into three dimensions: the enabling environment, the organisational level, and the individual level. Questionnaires for each level are included.

Pisa Capacity Needs Assessment: Ecuador, Ian Teo

OECD Programme for International Student Assessment (PISA)

This report presents detailed findings of a Capacity Needs Assessment (CNA) for Ecuador, carried out to gain information about Ecuador’s capacity assets and needs to implement the Programme for International Student Assessment (PISA) 2025 successfully. The capacity assets and needs are structured into three dimensions: the enabling environment, the organisational level, and the individual level. Questionnaires for each level are included.

Experimental Data For: "Effects Of Network Connectivity And Functional Diversity Distribution On Human Collective Ideation", Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. Maclaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

Systems Science and Industrial Engineering Faculty Scholarship

This is the dataset collected from our online human-subject experiments described in the following manuscript:

Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, and Hiroki Sayama:
"Effects of Network Connectivity and Functional Diversity Distribution on Human Collective Ideation"
https://arxiv.org/abs/2307.04284