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Full-Text Articles in Entire DC Network
Enhancing Programming Productivity For Individuals With Adhd Through Generative Artificial Intelligence: An Inductive Analysis, Lionel Mew
School of Professional and Continuing Studies Faculty Publications
Attention-deficit/hyperactivity disorder (ADHD) significantly impacts computer programmers through challenges in sustained attention, executive functioning, and organizational skills. While traditional intervention strategies have shown varying degrees of success, the emergence of generative artificial intelligence (AI) presents novel opportunities to address ADHD-related programming challenges. This paper presents an inductive analysis synthesizing current research on ADHD's effects on programming, traditional productivity enhancement techniques, and the potential of generative AI tools. Through examination of recent literature and field studies, we propose that generative AI can serve as a transformative intervention by providing personalized cognitive support, reducing executive function demands, and enhancing code generation efficiency. …
Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci
Bridging Data Gaps In Retinal Imaging: From Structural Domain Adaptation To Topology-Aware Synthesis, Gözde Merve Demirci
Dissertations, Theses, and Capstone Projects
Comprehensive visualization of the retina is essential for diagnosing and monitoring blinding diseases such as Diabetic Retinopathy and Retinopathy of Prematurity (ROP), where pathological changes often extend beyond a single field of view. Despite significant advances in automated retinal image analysis, clinical deployment remains limited by two fundamental data gaps: a structural learning gap, arising from scarce expert annotations and poor generalization across imaging domains, and a spatial coverage gap, caused by the difficulty of acquiring multi-view retinal images in fragile populations. Although these challenges are often addressed independently, this dissertation argues that they are tightly coupled: accurate, …
Mapping The Water Quality Of Jamaica Bay, New York (1996-2024): Principal Component Analysis And K-Means Clustering, Sneha Srivastava
Mapping The Water Quality Of Jamaica Bay, New York (1996-2024): Principal Component Analysis And K-Means Clustering, Sneha Srivastava
Dissertations, Theses, and Capstone Projects
Jamaica Bay, located along the southeastern coast of New York City, acts as a biodiverse estuary of wetlands, meadows, and salt marsh islands. The purpose of this study is to analyze the water quality conditions of the region over time, comparing locations around the bay to identify hyperlocal features that influence larger trends in the hydrological system. Ten variables were used as water quality indicators, including total Kjeldahl nitrogen, salinity, pH, Secchi disk depth, and total phosphorus, among others, across five stations in the bay, between 1994 and 2024. After data cleaning and standardization methods were applied, principal component analysis …
Generalized Spectral Bound For Quasi-Twisted Codes, Buket Özkaya
Generalized Spectral Bound For Quasi-Twisted Codes, Buket Özkaya
Turkish Journal of Mathematics
Minimum distance bounds play a central role in the analysis of algebraic codes. For cyclic and constacyclic codes, several bounds based on their zero set have been developed. However, analogous results for quasi-twisted (QT) codes are comparatively limited. In this paper, we further investigate the spectral theory of QT codes and derive a general spectral bound on their minimum distance. Our bound unifies and generalizes previously known spectral bounds for quasi-cyclic (QC) and QT codes, and contains them as special cases. We present a new proof technique and show that the bound can be formulated with respect to an arbitrary …
A Novel Iterative Algorithm For Approximating Common Fixed Points Of Generalized Α-Nonexpansive Multivalued Mappings In Kohlenbach Hyperbolic Spaces, Makbule Kaplan Özekes
A Novel Iterative Algorithm For Approximating Common Fixed Points Of Generalized Α-Nonexpansive Multivalued Mappings In Kohlenbach Hyperbolic Spaces, Makbule Kaplan Özekes
Turkish Journal of Mathematics
In this paper, we propose a new iterative scheme involving three multivalued mappings in Kohlenbach hyperbolic spaces. Strong and ∆-convergence theorems are established for approximating common fixed points of nonexpansive multivalued mappings under suitable conditions. A numerical example is also presented to illustrate the efficiency and faster convergence of the proposed method. The results obtained extend and unify several related contributions in the existing literature.
On Families Of Finsler Metrics, İsmai̇l Sağlam, Ken'ichi Ohshika, Athanase Papadopoulos
On Families Of Finsler Metrics, İsmai̇l Sağlam, Ken'ichi Ohshika, Athanase Papadopoulos
Turkish Journal of Mathematics
In this paper, we answer some natural questions concerning symmetrisation and more general combinations of Finsler metrics, with a view to applications to Funk and Hilbert geometries and metrics on Teichmüller spaces. The metrics on Teichmüller space that we consider are the Thurston metric and the earthquake metric, both introduced by Thurston. The first metric has been thoroughly studied over the last couple of decades, and the second over the last few years. The Funk metric and its symmetrisation, the Hilbert metric, are classical metrics that have been investigated in the contexts of hyperbolic geometry and geometric function theory and, …
On The Monoid Of Partial Order-Preserving Transformations Of A Finite Chain Whose Domains And Ranges Are Intervals, Hayrullah Ayik, Vítor H. Fernandes, Emrah H. Korkmaz
On The Monoid Of Partial Order-Preserving Transformations Of A Finite Chain Whose Domains And Ranges Are Intervals, Hayrullah Ayik, Vítor H. Fernandes, Emrah H. Korkmaz
Turkish Journal of Mathematics
In this paper, we consider the monoid PIOn of all partial order-preserving transformations on a chain with n elements whose domains and ranges are intervals, along with its submonoid PIOn− of order-decreasing transformations. Our main aim is to give presentations for PIOn− and PIOn. Moreover, for both monoids, we describe regular elements and determine their ranks, cardinalities and the numbers of idempotents and nilpotents.
On The Generalized Cesàro Sequence Spaces And Some Of Their Properties, Uğur Gönüllü, Faruk Polat, Martin Richard Weber
On The Generalized Cesàro Sequence Spaces And Some Of Their Properties, Uğur Gönüllü, Faruk Polat, Martin Richard Weber
Turkish Journal of Mathematics
Let Ct = (cnm)n,m∈ℕ denote the generalized Cesàro matrix defined by cnm = tn−m/n for m ≤ n and t ∈ [0, 1], and cnm = 0 otherwise. For each q ∈ [1, ∞), the associated generalized Cesàro sequence spaces cesqt are introduced. These spaces form Banach lattices under the coordinatewise order, equipped with a naturally defined order continuous norm. We prove that cesqt = cesq0 for all t ∈ [0, 1) and q ∈ [1, ∞), implying that the space …
A Note On The Periodic Orbits Of Wolbachia Spread Dynamics In Mosquito Populations In Periodic Environments, Jose S. Cánovas
A Note On The Periodic Orbits Of Wolbachia Spread Dynamics In Mosquito Populations In Periodic Environments, Jose S. Cánovas
Turkish Journal of Mathematics
We consider the periodic model introduced by B. Zheng and J. Yu, and disprove the conjectures on the number of periodic orbits the model can have. We rebuild the conjecture to prove that for periodic sequences of maps of any period, the number of nonzero periodic trajectories is bounded by two.
Characterizations Of Bi-Riordan Arrays, Nai̇m Tuğlu, Fatma Yeşi̇l Baran
Characterizations Of Bi-Riordan Arrays, Nai̇m Tuğlu, Fatma Yeşi̇l Baran
Turkish Journal of Mathematics
In this study, we introduce the concept of a bi-Riordan array. As part of this construction, we define new composition and power operations. We then establish an analogue of the well-known fundamental theorem of Riordan arrays (FTRA), which we call the fundamental theorem of bi-Riordan arrays. Next, we show that the product of two bi-Riordan matrices is again a bi-Riordan matrix. Using this product structure, we prove that the set of bi-Riordan matrices forms a monoid.
Exponential Stability For A Strongly Damped Wave Equation With Distributed Internal Delay, Manal Alotaibi, Nasser-Eddine Tatar, Waled Al-Khulaif
Exponential Stability For A Strongly Damped Wave Equation With Distributed Internal Delay, Manal Alotaibi, Nasser-Eddine Tatar, Waled Al-Khulaif
Turkish Journal of Mathematics
This paper investigates the exponential stability of a strongly damped wave equation subject to an internal distributed time delay. Two distinct analytical frameworks are developed: the first employs a modified energy method based on auxiliary functionals, while the second introduces a transformation that rewrites the delay term as the derivative of a convolution integral. Both approaches yield explicit decay conditions and establish exponential convergence of the energy under weaker assumptions on the damping coefficient and the delay kernel. Notably, the transformation method allows for a wider class of admissible delay weights than those permitted by classical techniques. Numerical simulations based …
Clairaut Conformal Submersions From Ricci Solitons, Murat Polat
Clairaut Conformal Submersions From Ricci Solitons, Murat Polat
Turkish Journal of Mathematics
In this study, we investigate Clairaut conformal submersions in the context of total manifolds that support a Ricci soliton structure. We begin by deriving the scalar curvature and Ricci tensor expressions associated with these manifolds, and we establish criteria under which the fibres can be characterized as almost Ricci solitons or Einstein manifolds. Additionally, we identify the conditions required for the base manifold to admit Ricci soliton and Einstein structures. We also determine the necessary conditions for a vector field ζ to be conformal or Killing. Moreover, we demonstrate that when the potential vector field of the Ricci soliton is …
A Delayed Siamr Prostate Cancer Model With Vertical Transmission And Treatment: Stability Analysis And Numerical Simulation, Hüseyi̇n Demir, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keles
A Delayed Siamr Prostate Cancer Model With Vertical Transmission And Treatment: Stability Analysis And Numerical Simulation, Hüseyi̇n Demir, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keles
Turkish Journal of Mathematics
In this paper, we propose and analyse a delayed-compartmental mathematical model of prostate cancer dynamics that incorporates vertical transmission and therapeutic intervention. The population is stratified into five compartments: susceptible (S), infected/virally activated (I), asymptomatic infectious under treatment (A), malignant untreated (M), and recovered (R). A discrete time delay τ > 0 is introduced in the force-of-infection term to model the age-dependent onset of susceptibility in middle-aged adult males. Vertical transmission of viral etiology at a rate qΛ ensures that a fraction of newborns enter the infected compartment directly, rendering the disease persistent regardless of the basic reproduction number R₀. We …
Compact And Am-Compact Orthogonally Additive Operators, Bahri̇ Turan, Bi̇rol Altin
Compact And Am-Compact Orthogonally Additive Operators, Bahri̇ Turan, Bi̇rol Altin
Turkish Journal of Mathematics
We show that compactness of orthogonally additive operators between Banach lattices is not preserved under taking the modulus by providing a nonlinear analogue of Krengel’s example. In contrast, for operators acting from a Banach lattice into an AM-space, AM-compactness is stable under lattice operations. Moreover, the space of absolutely norm bounded AM-compactorthogonally additive operators from a Banach lattice into an AM-space is a Banach lattice, and on such AM-spaces with the weak Fatou property, norm boundedness coincides with absolute norm boundedness.
Hyers-Ulam And Hyers-Ulam Rassias Stability Of Caputo Fractional Hahn Difference Equations, Karima Mohamed Oraby, Alaa E. Hamza, Afrah Al-Bossly
Hyers-Ulam And Hyers-Ulam Rassias Stability Of Caputo Fractional Hahn Difference Equations, Karima Mohamed Oraby, Alaa E. Hamza, Afrah Al-Bossly
Turkish Journal of Mathematics
In this paper, we investigate Hyers–Ulam and Hyers–Ulam–Rassias stability for fractional linear Hahn difference equations of Caputo Type. To the best of our knowledge, this is the first work concerning Hyers–Ulam type stability in the framework of Caputo fractional Hahn difference equations, thereby filling a significant gap in the literature on fractional stability theory. Our approach is based on establishing an equivalence between the fractional Hahn difference initial value problem and a corresponding fractional integral equation, via the Caputo–Hahn inversion formula. These results lay a strong groundwork for analyzing the stability of Hahn fractional systems, which could be useful in …
Design And Analysis Of Power Supply Transmission For Lunar Surface Energy System, Ming Zhang, G Jiankun Zhan, Yuxiang Yang, Chengxiong Tang, Lijun Ma, Ji ’Nan Ma, Hong Du, Hua Geng, Yu Zhao
Design And Analysis Of Power Supply Transmission For Lunar Surface Energy System, Ming Zhang, G Jiankun Zhan, Yuxiang Yang, Chengxiong Tang, Lijun Ma, Ji ’Nan Ma, Hong Du, Hua Geng, Yu Zhao
Journal of Electric Power Science and Technology
The energy system is an important component of the lunar research station ’s infrastructure and is responsible for providing long-term，stable electric power.Based on the construction stages and mission requirements of the lunar research station，this paper briefly introduces the composition of the energy system，proposes an energy transmission topology architecture based on a distributed system，and establishes mathematical models for the power conversion and transmission links.Considering the characteristics of AC and DC systems，as well as factors such as system weight，reliability，and the application of space high-voltage technologies，this paper compares and analyzes the characteristics of transmission buses under different systems，voltage levels，and transmission power levels，determines the …
Directing The Absent Tool: Friction Embodiment And Competency Progression In Ai Assisted Creative Learning, Daniel Suarez, James Hutson
Directing The Absent Tool: Friction Embodiment And Competency Progression In Ai Assisted Creative Learning, Daniel Suarez, James Hutson
Faculty Scholarship
Generative artificial intelligence complicates the relationship between successful creative production and the development of independent disciplinary judgment. Task allocation offers a practical response by identifying operations that learners should protect, perform with support, or delegate, yet the educational value of an allocation depends on conditions that change beyond a single assignment. This article extends a process-centered framework along three connected axes: absence, modality, and time. Constructivist friction describes difficulty encountered when learners must reconstruct judgments previously supplied by an available tool; its educational value depends on subsequent diagnosis, feedback, and transfer rather than difficulty alone. A spatial and embodied extension …
Vulnerability Assessment Of Power Grid Nodes Based On Moo-Gcn, Kang Xing, Ziqing Zhang, Qunmin Yan, Jingjing Tian
Vulnerability Assessment Of Power Grid Nodes Based On Moo-Gcn, Kang Xing, Ziqing Zhang, Qunmin Yan, Jingjing Tian
Journal of Electric Power Science and Technology
The continued expansion and increasing structural complexity of new power systems have made the limitations of traditional node vulnerability analysis methods increasingly evident in terms of computational efficiency，nonlinear feature analysis capability，and assessment accuracy.To address this issue，a power grid node vulnerability assessment method based on a multi-objective optimization graph convolutional network （MOO-GCN ） was first proposed.Then，a multi-objective optimization mechanism was introduced into the traditional GCN framework to construct a three-component joint loss function integrating reconstruction loss，neighborhood embedding loss，and ranking consistency loss，thus achieving comprehensive assessment through dynamic weight adjustment.Finally，the IEEE 300-node，IEEE 500-node，and IEEE 1354 -node distribution networks were used as test cases，and …
Relocation And Charging/Discharging Power Optimization Of Modular Energy Storage For Voltage Limit Violation Mitigation In Rural Photovoltaic Distribution Station Areas, Haifeng Yu, Yifei Wang, Yu Li, Hanhang Yin, Siyuan Peng, Puling Huang, Zheng Peng
Relocation And Charging/Discharging Power Optimization Of Modular Energy Storage For Voltage Limit Violation Mitigation In Rural Photovoltaic Distribution Station Areas, Haifeng Yu, Yifei Wang, Yu Li, Hanhang Yin, Siyuan Peng, Puling Huang, Zheng Peng
Journal of Electric Power Science and Technology
To address the seasonal overvoltage and undervoltage issues in China ’s rural photovoltaic （PV） distribution station areas，this study proposes a relocation and charging/discharging power optimization method for modular energy storage adapted to the mitigation of voltage limit violations in the rural PV distribution station areas.Voltage limit violations are mitigated by relocating modular energy storage units to PV distribution station areas and regulating the active charging/discharging power of the energy storage units and the reactive power of the inverters.Specifically，the source-load characteristics of China's rural PV distribution station areas are analyzed.The feeder voltage equation is applied to reveal that the voltage limit …
Robust Bidding Strategy Analysis For Charging Stations Considering Response Uncertainty, Xiaofeng Jiang, Bo Zhou, Chun Tang, Yunyang Xu, Wei Wei, Xinwei Sun, Jianwei Yang
Robust Bidding Strategy Analysis For Charging Stations Considering Response Uncertainty, Xiaofeng Jiang, Bo Zhou, Chun Tang, Yunyang Xu, Wei Wei, Xinwei Sun, Jianwei Yang
Journal of Electric Power Science and Technology
The large-scale integration and interaction of electric vehicles with the power grid have become an inevitable trend.As key entities in the interaction between electric vehicles and the power grid，charging stations can aggregate the charging and discharging resources of electric vehicles to participate in electricity market bidding，thus balancing their own interests and the operational needs of the power grid.Based on this，a model capable of predicting the day-ahead responsive capacity was first proposed by considering the active charging response of electric vehicles.Second，a robust optimization bidding model was established for charging stations participating in the day-ahead electricity market，considering the effects of uncertainties in …
Generative Ai In Art And Design Education: Keeping The Human In The Creative Loop, James Hutson, Daniel Suarez
Generative Ai In Art And Design Education: Keeping The Human In The Creative Loop, James Hutson, Daniel Suarez
Faculty Scholarship
Research on generative artificial intelligence in education reveals a persistent divergence between successful assisted performance and the development of independent knowledge, creative judgment, and transferable skill. Studies of art and design additionally identify opportunities for iterative exploration alongside concerns about visual fixation, uncertain authorship, and dependence on generated alternatives. These findings create an instructional problem: educators need to determine which creative decisions should remain with learners, which operations can receive bounded assistance, and which activities can be delegated without bypassing the intended learning. Existing scholarship addresses these questions through research on scaffolding, human-AI collaboration, assessment, and psychological ownership, but these …
A Mixed-Method Study To Determine The Relationships Between Academic Confidence, Anxiety And Success In College Physics I At A Small Midwestern University, Jason Fenske
Dissertations
The purpose of this mixed-method study is to examine the effect of a variety of factors on student success in College Physics I. These factors include the transfer of knowledge from both high school physics and prerequisite mathematics courses for use in physics as well as anxiety, academic confidence, physics confidence, and methods designed to address these. The experiment occurred in a medium-sized midwestern university in two different classrooms. The results of this experiment showed that there is a direct correlation between mathematics confidence and physics confidence and therefore between these and student success. The study found that students who …
The Application Of Machine Learning And Deep Learning On Demand Forecasting Across Time-Critical Industries: A Systematic Review, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Cheng Zhang, Jun Shen
The Application Of Machine Learning And Deep Learning On Demand Forecasting Across Time-Critical Industries: A Systematic Review, Asmaa Seyam, Sujith Samuel Mathew, May El Barachi, Cheng Zhang, Jun Shen
All Works
The applications of machine learning and deep learning in demand forecasting have attracted increasing attention, as they offer remarkable predictive capabilities that help automate forecasting processes and achieve higher accuracy. While numerous review studies have examined solutions within specific industries, there is a lack of comprehensive literature review investigating these solutions across different sectors. Therefore, this study overviews machine learning and deep learning applications in demand forecasting across time-critical industries, including power, tourism, water, transportation, and food. A two-tier classification framework is proposed to categorize demand forecasting studies by both application industry and methodological architecture. In addition, the most popular …
Serum Proenkephalin A (Penk) As An Emerging Biomarker Of Renal Failure And Its Association With Mineral, Endocrine, And Hematological Parameters, Zahraa H. K. Aljelawy, Haider Abdul-Moneem Al-Mothafer
Serum Proenkephalin A (Penk) As An Emerging Biomarker Of Renal Failure And Its Association With Mineral, Endocrine, And Hematological Parameters, Zahraa H. K. Aljelawy, Haider Abdul-Moneem Al-Mothafer
Muthanna Medical Journal
Objective: Renal failure is related to metabolic and endocrine disorders, in particular chronic kidney disease-Mineral and Bone Disorder (CKD-MBD). In this study, the clinical utility of serum Proenkephalin A (PENK) as a novel renal biomarker was evaluated, and its changes and correlation matrix with established renal, mineral, bone and hematological parameters in patients with renal failure were studied. Materials and Methods: A case control study was performed including patients diagnosed clinically with renal failure and age and gender matched healthy controls. Venous blood samples were collected to analyze serum PENK, including urea, creatinine, parathyroid hormone (PTH), calcium, phosphate, Vitamin D, …
Remote Sensing Integrated Modeling Of Fall Armyworm Parasitoid Interactions In Africa Using Fractional Differential Equations, Marian Adan, Steeven Belvinos Affognon, Henri E.Z. Tonnang, Klaus Greve, Christian Borgemeister, Georg Goergen
Remote Sensing Integrated Modeling Of Fall Armyworm Parasitoid Interactions In Africa Using Fractional Differential Equations, Marian Adan, Steeven Belvinos Affognon, Henri E.Z. Tonnang, Klaus Greve, Christian Borgemeister, Georg Goergen
All Peer-Reviewed Publications
The invasion of fall armyworm (Spodoptera frugiperda; FAW) into Africa poses a major threat to agricultural systems, particularly maize production, necessitating effective biological control strategies. This study presents an ecological modelling framework that integrates temperature data with fractional differential equations (FDEs) to investigate interactions between FAW and its parasitoid natural enemies. By incorporating temperature-driven effects on life-history traits and ecological memory dynamics, the model captures key features of host–parasitoid interactions under variable environmental conditions. Equilibrium states corresponding to FAW extinction, parasitoid extinction, and coexistence were analytically derived, and sensitivity analysis of the FAW reproduction number highlighted its central role in …
Exploring 21st-Century Skills In A Summer Camp: A Qualitative Methodological Triangulation Approach, Alexander Bowman, Jing Song
Exploring 21st-Century Skills In A Summer Camp: A Qualitative Methodological Triangulation Approach, Alexander Bowman, Jing Song
Journal of Youth Development
Despite the recognized importance of 21st-century skills and the substantial body of research on these skills, little is known about how to identify growth in these skills. The lack of reliable methods to measure 21st-century skill growth presents a challenge for the design of relevant learning environments and for evaluating if such learning environments are effective. Using a qualitative methodological triangulation approach, this study explored camp counselors’ learning processes. Using a systematic data integration method, field observations were synthesized with participant reflections about how their skills develop. Data were collected from 13 high-school-aged junior camp counselors at a summer camp …
Post-Approval Problems, Anjali D. Deshmukh M.D., J.D.
Post-Approval Problems, Anjali D. Deshmukh M.D., J.D.
Utah Law Review
Sitting across from 4-year-old Jessica’s parents, I whispered the truth: the most promising drug to fight their daughter’s disease was a therapy approved for adults, not for children her age. We could estimate the dose, monitor her organs, and hope the toxicity would not outpace the benefits, but there was no high-quality clinical trial data proving it was safe for kids like her yet, despite congressional mandates. Unexpected safety issues are often identified after drugs are approved and used outside of a closely controlled clinical trial, especially in understudied populations like children, the elderly, and pregnant women. When I asked …
Sensation And Perception V3, Todd A. Kahan
Sensation And Perception V3, Todd A. Kahan
Open Educational Resources
Sensation and Perception V3 is an introductory college textbook that explores how we detect and interpret sensory information from the world around us. Covering all five major senses—vision, audition, touch, taste, and smell—the book provides a comprehensive overview of the biological and psychological processes that underlie perception. While all sensory modalities are discussed, the primary emphasis is on vision, tracing the flow of visual information from the moment light strikes the retina through the complex mechanisms that allow us to perceive objects, color, motion, and depth.
Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu
Individualized Bayesian Inference Identifies Novel Genetic Variants For Parkinson's Disease, Jin Ren, Yasaman J. Soofi, Md Asad Rahman, Qing Lu, Jinling Liu
Engineering Management and Systems Engineering Faculty Research & Creative Works
Parkinson's disease (PD) is a complex neurodegenerative disorder with a significant genetic component. While genome-wide association studies (GWAS) have been instrumental in identifying genetic variants associated with PD, the reliance on large sample sizes and population-level analyses may overlook variants with lower minor allele frequencies or individual-specific relevance. Individualized Bayesian Inference (IBI) offers a promising method to complement GWAS by identifying and prioritizing candidate genetic markers at both the individual and patients-like-me subgroup levels. This study evaluates the application of IBI to PD genetics, using GWAS as a baseline for comparison. We analyzed genetic data from the Fox Insight online …