Digital Commons Network^™

The Extent To Which Online Symptom Searching Predicts Health Anxiety Among Adults, Lakelyn Jonell

Psychology Student Publications

The internet has the potential to provide inaccurate, misleading and alarming information. Individuals may begin to hyper fixate on their symptoms and overall health when being provided with worse-case scenario answers. This experience can lead an individual to develop health anxiety, a condition characterized by excessive fear and worry due to a perceived threat to individuals health.

Effective Interventions On Gambling Disorder While Reducing Social Stigma, Kayla Tretter

Psychology Student Publications

This paper examine effective interventions on gambling disorder and how stigma can derail an individual's recovery. It specifically focuses on the integration of motivational interviewing (MI) and cognitive behavioral therapy (CBT) as treatments.

The Effect Of Background Music On Reading Comprehension, Erika Murry

Psychology Student Publications

This paper reviews recent findings by researchers surrounding the relationship between listening to background music and reading comprehension. Tempo, lyrics and mode are examined, as well as several confounding factors.

Large Language Model For X Language Simulation: Architecture, Key Technologies, And Typical Applications, Laichunyang Peng, Fei Ye, Xiaoming Guo, Jinglin Zhou

Journal of System Simulation

Abstract: General-purpose large language models lack training on X language-specific corpora, and traditional fine-tuning methods lack targeted adaptation to the interdisciplinary integration and multimodule coupling of X language, resulting in problems such as non-standard syntax and semantic deviation in generated code. To address these issues, this paper systematically proposed the definition and integrated architecture of a large language model for X language simulation. Modeling subclasses were defined according to the disciplines and classes of X language, and dedicated adapters were constructed for each subclass. By merging their weights during the inference phase, the incremental integration of multi-domain modeling skills was …

Vehicle Routing Optimization For Underground Mines Considering Fuzzy Demand And Time Tolerance, Guorong Wang, Haishun Deng, Ziming Kou, Xuanxuan Yan, Zhixiang Huang

Journal of System Simulation

Abstract: To solve the problem of material demand fluctuation and different time windows in auxiliary transportation of underground mines, a routing optimization method for material distribution considering fuzzy demand and time tolerance was proposed. Based on the fuzzy credibility theory, uncertain demand was constrained by fuzzy chance constraints, and a multi-objective routing optimization model for underground mine auxiliary transportation was constructed with the objectives of minimizing the total operating cost of vehicles and maximizing time tolerance. A multi-objective genetic algorithm with mixed dominance strength was designed to solve the model. By calculating the deviation difference of Pareto frontier solutions, …

Auv Path Planning Integrating Local-Global Strategies In Unknown Environments, Wenlong Meng, Yanbo Pu, Ya Gong

Journal of System Simulation

Abstract: Existing path planning algorithms often struggle to efficiently explore and generate high-quality trajectories. To address this issue, this paper proposes a path planning algorithm that integrates local-global strategies. By employing the rolling window technique, the global one-time path planning problem is transformed into an iterative process of multiple local planning stages. During the global exploration phase, the rolling window is used to determine high-level path branches and to identify branch waypoints, thereby refining the calculation of local paths. In the local exploration phase, an improved RRT-Connect algorithm is proposed, which combines adaptive circular sampling with dynamic step length to …

Modelling Method Of Unmanned Vehicle Dynamics Based On Neural Network, Jun Wang, Min Liu, Xiaochuan Zhang, Yishan Ding, Juhui Feng, Ye Zhuang

Journal of System Simulation

Abstract: To address the challenges of high data acquisition costs of test data on dynamic characteristics between tires and soft terrain and low speed of numerical calculation for unmanned vehicles in complex terrestrial environments, a modeling method of unmanned vehicle dynamics based on a neural network was proposed. Tire-terrain contact dynamics models were built by using discrete element method (DEM) simulations for tire-terrain contact and experimental data, thereby creating a dataset of tire contact forces for various tire materials in terrestrial environments. The neural network was applied to regressively learn the dataset, and a nonlinear neural network tire model was …

Large-Scale Multi-Objective Evolutionary Algorithm Based On Multi-Region Dynamic Grouping, Binhao Liang, Jingxuan Wei, Fengqin Liang

Journal of System Simulation

Abstract: The decision variable dimension of large-scale multi-objective optimization problems can reach hundreds or even thousands. For existing large-scale multi-objective evolutionary algorithms based on decision variable analysis, which usually consume a large amount of computational resources for grouping and fail to consider the interactions between convergence-related variables and diversity-related variables, a large-scale multi-objective evolutionary algorithm based on multi-region adaptive dynamic grouping was proposed. The algorithm employed a Gaussian mixture model to partition the decision space into multiple regions; within each region, feature vectors were constructed for each decision variable, and spectral clustering was utilized to perform grouping. To validate …

Intelligent Competition Platform And Mode Driven By Cloud-Native Simulation, Long Qin, Hesong Huang, Lujia Yin, Chuan Ai, Qi Zhang, Xinmeng Li

Journal of System Simulation

Abstract: To solve the problems faced by the adversarial competition mode of agents, including difficult development and deployment, low resource utilization, poor reusability, and difficulty in accessing reinforcement learning algorithms, a new agent simulation training platform was designed. The software components of the competition platform were decoupled based on cloud-native technology; a high-performance simulation engine for the competition environment was proposed; a new method of an embedded reinforcement learning model for an intelligent control terminal was designed, with multiple online and offline policy-based reinforcement learning algorithms set. The experiment demonstrates that the development and deployment of the system is efficient, …

Intersection Positioning Algorithm With Spatial Translation Based On Sar Scene Matching, Cheng'en Pu, Yumin Lai, Rui Shi, Yan Liao, Kezi Meng, Lifeng Qu

Journal of System Simulation

Abstract: To address the problem that the positioning precision of the inertial navigation system cannot meet the requirements of autonomous positioning when the aircraft flies, an autonomous positioning method with spatial translation based on circular scanning scene matching of SAR was proposed. The spatial translation positioning model of the aircraft was established according to the position of the ground matching points obtained by single point and single circular scanning scene matching of SAR, the oblique distance between the matching points and the aircraft, and the inertial measurement information of the aircraft. The characteristic information of the matching point sequence was …

State Monitoring Of Nuclear Power Connection Sleeve Quality Inspection Equipment Driven By Digital Twin, Yandong Nan, Jinda Zhu, Xinbin Lu, Zhiying Qin, Dandan Qi, Zhiheng Ding

Journal of System Simulation

Abstract: To address the problems of delayed state perception, single monitoring dimension, and insufficient visualization in the quality inspection equipment for nuclear power connection sleeves, a state monitoring method driven by digital twin was proposed. A digital twin-based collaborative state monitoring framework for the inspection equipment was constructed. Based on the OPC UA technology, a multi-source information interconnection model was established. A finite state machine model was employed to discretize and logically drive the inspection process, and a hierarchical verification strategy was proposed to establish a multi-dimensional motion state monitoring mechanism. A surrogate model coupling the radial basis interpolation function …

Modeling And Simulation Of Target Characteristic Architecture Of Target Missile Based On Dodaf, Tuo Zhao, Yuqiao Liu, Yuan Ma, Yun Cheng, Shen Li

Journal of System Simulation

Abstract: In view of the problems of incomplete elements and missing architecture in the research of target characteristics of target missiles, this paper introduced the panoramic view, operational view, and capability view models in the DoDAF from the perspective of system engineering. According to the view development sequence of "panoramic description, operational decomposition, and capability matching", a target characteristic architecture of the target missile was constructed, which included target elements such as maneuvering characteristics and infrared radiation characteristics. The mapping relationship among "operational layer, capability layer, and target characteristic layer" of the target missile was obtained, and the architecture was …

Dynamic Model-Driven Verification Framework For Modular Aerial Bomb Systems, Wenlong Li, Shuhan Sang, Yusheng Liu, Haiyan He, Zan Liang, Wenqiang Yuan, Biao Niu, Weifeng Luo

Journal of System Simulation

Abstract: To address the problems of high verification costs, difficulty in covering dynamic behaviors, and lack of quantitative closed loops in the design stage of modular complex equipment, a dynamic model-driven modular system verification framework was proposed. Based on model-based systems engineering (MBSE) modeling, a structural coupling quantification model was constructed using the number of interfaces, signal interaction frequency, and dependency intensity. Dynamic tests were conducted in high-fidelity virtual simulation to collect data; performance rating for indicators such as accuracy, response, and stability, as well as system's comprehensive rating, were obtained, and the rating feedback was used for iterative optimization. …

The Effects Of Visual Supports On The Acquisition Of Guitar Chords, Cole S. Jahna

Thesis Projects

There is a current literature gap in applied behavior analysis (ABA) and music-based leisure activities. This study utilized a multiple-probe design to evaluate the effects of visual supports on the guitar fretboard combined with behavioral skills training (BST) to teach correct strumming and finger placement of three guitar chords (i.e., E, C, and G) to a neurodivergent adult. By using a task analysis, the strum and each individual finger placement were scored as correct or incorrect during each chord trial. Three chords that were under 50% accuracy in baseline were selected for the intervention. The intervention was introduced sequentially to …

The “How” Of Christian Scholar’S Review: Addressing Two Academic “Integration” Problems, Matthew D. Lundberg

University Faculty Publications and Creative Works

Over the past two weeks, my colleagues Margaret Diddams and Perry Glanzer have articulated the mission of Christian Scholar’s Review by considering the “why” and “what” of the journal. In this blog post, I will explore the “how” question—how CSR approaches its mission. (As you might expect, the “how” overlaps considerably with the “what” and “why.”) How does CSR do its work? By taking on two distinct but related “integration” challenges that face Christian scholars and Christian academic institutions.

Analyzer-Less X-Ray Interferometry With Super-Resolution Methods, Murtuza S. Taqi

LSU Master's Theses

X-ray interferometry provides valuable information on attenuation, small-angle scattering, and differential phase contrast. This multi-modal contrast can aid in many clinical applications, such as lung diseases and breast cancer. However, standard inter- ferometry has an analyzer grating that can increase the dose requirement to maintain the same image quality as a standard X-ray. We propose the use of super-resolution methods for X-ray grating interferometry without an analyzer, with detectors that fail to meet the Nyquist sampling rate needed for traditional image recovery algorithms. Detector phase- steps are used to nominally recover the sampling and iteratively recover the visibility and the …

Model-Based System Verification: Theoretical Framework, Key Technologies, And Future Prospects, Bo Sun, Yi Ren, Silin Wang, Qi Liu, Zhidong Li

Journal of System Simulation

Abstract: Traditional system verification methods face significant challenges in terms of efficiency, coverage, and traceability. To address these issues, this paper introduced model-based system verification (MBSV), which deeply integrated verification activities within the model-based systems engineering model system and evolution process. It presented the foundational logic of MBSV and proposed a multiview unified verification modeling strategy based on system modeling language (SysML), integrating requirements, structure, behavior, and constraints. The paper discussed the algorithms for selecting representative paths and reducing equivalent classes to enhance verification efficiency, the principles of test path search, as well as the intelligent path search mechanism based …

Space-Ground Integrated Collaborative Positioning Algorithm And Simulation For Trajectory Enhancement, Juhui Wei, Xinyong Zhang, Jiongqi Wang, Xuanying Zhou, Zhangming He

Journal of System Simulation

Abstract: To address the challenges of low credibility, weak consistency, and poor accuracy in the information of trajectory results from space-based and ground-based passive time difference positioning simulation systems, a space-ground integrated collaborative positioning method was proposed for trajectory enhancement. By analyzing the operating principle of the time difference positioning system, the influencing factors that measure positioning accuracy in different feature dimensions were obtained; spline smoothing was employed for data alignment between space-based and ground-based systems; a spline-constrained parametric trajectory model was proposed to further enhance the stability; an error-sensitive feature selection framework for improving simulation consistency was constructed to …

Strategic Audit - Lululemon, Jared M. Loos, David Goldsmith, Madelyn Martin, Grant Taylor, Carson Downs

Honors Program: Senior Projects (Public)

No abstract provided.

Effective Strategies Used By Small U.S. Technology Business Leaders To Reduce Turnover And Improve Productivity, Iesha Tyrie Hayes

Walden Dissertations and Doctoral Studies

High employee turnover in small U.S. technology firms undermines productivity and disrupts workforce stability. Small U.S. technology business leaders are concerned with employee turnover because persistent workforce attrition weakens operational continuity, increases organizational strain, and limits the ability to sustain a stable and effective workforce. Grounded in psychological capital (PsyCap) theory, this qualitative pragmatic inquiry was to explore leadership strategies used by small U.S. technology business leaders in North Carolina to mitigate negative employee experiences that contribute to turnover and reduced productivity. Data were collected using semistructured interviews and publicly available organizational documents. Using thematic analysis, three themes emerged: (a) …

Educators’ Experiences With Structured Word Inquiry For Spelling Underachievement In K–8 Students, Leah Skinner

Walden Dissertations and Doctoral Studies

The problem addressed in this basic qualitative study was that K–8 students in the western United States continue to experience spelling underachievement despite structured literacy interventions. Grounded in Bowers and Kirby’s structured word inquiry (SWI) framework, the purpose of this study was to explore educators’ experiences implementing SWI for spelling instruction with K–8 students in the western United States. Data were collected through semistructured interviews with 16 K–8 educators with SWI experience who were selected through purposive and snowball sampling. Thematic analysis using open and axial coding resulted in six themes. Findings indicated that educators perceived SWI as an effective, …

Is It Altruism Or Codependency? A Dive Into Our Relationships With Others, Livia Dietrich

Psychology Student Publications

Codependency is characterized by the tendency to put others’ needs ahead of your own. It can affect anyone; but is typically most common in mothers. This paper explores many reasons someone may fall into these patterns, such as low self-esteem or an abusive partner. Trends of relationships in one’s past, like their relationship with their parents, could also affect the likelihood of codependent tendencies. These examinations can help to identify what codependency looks like in order to repair relationships moving forward

Legalistic Noncompliance, Daniel T. Deacon, Leah M. Litman

Duke Law Journal

Will the executive branch comply with court orders? That question has garnered a considerable amount of attention over the first few months of the second Trump administration. But what does it mean to comply? And what if a form of noncompliance is already occurring?

This Article documents an emerging practice that has dominated the second Trump administration's approach to unfavorable court rulings, a practice this Article calls legalistic noncompliance. Legalistic noncompliance occurs when the administration uses the language of the law as cover to claim that it is complying with court orders when in fact it is not. Drawing …

Restoring Chevron Deference By Statute, Scott Dodson

Duke Law Journal

This Essay details a solution for legislatively restoring Chevron deference: amend the APA to direct lower federal courts to give deference to reasonable agency decisions but retain nondeferential judicial review by the U.S. Supreme Court. This solution restores most of the practical benefits of Chevron by giving agencies flexibility to implement congressional policy directives with the expertise they have acquired, by maintaining stability in administrative regulation, and by relieving lower federal courts of the burdens of nondeferential review. And retaining nondeferential judicial review in the Supreme Court will preserve the constitutional role of the judicial branch to say what the …

Journal Staff

Duke Law Journal

No abstract provided.

Originalism's Unbalanced Ledger, David Zaring

Duke Law Journal

This Essay examines the fundamental tension between originalism and cost-benefit analysis—the two dominant methodologies shaping modern, public law decision-making. Originalism, currently triumphant, prioritizes historical meaning and textual fidelity. It operates in stark contrast to cost-benefit analysis, the byword of the administrative state since 1982, which focuses on the future and efficiency. Descriptively, the two methodologies are irreconcilable. Nor is it possible to pair them by claiming they serve different purposes; originalism and cost-benefit analysis conflict when assessing agency design, constitutional rights, and judicial review of administrative action. As regulatory policymaking continues to rely on empirical and economic assessments, originalism's influence …

Study The Effect Of Isospin Dependence And Short-Range Correlations By Using Contact Formalism Through Inclusive Nuclear Structure For 20Ne And 24Mg Nuclei, Farah Faris Kaddoori, Ghaith N. Flaiyh

Baghdad Science Journal

Pair densities and their related correlation functions play a crucial role in capturing the complex many-body interactions within nuclear systems. This study focuses on how spin and isospin specifically influence nuclear charge density distributions. Using the folding model, the charge density is derived through an effective two-body density approach that incorporates both short-range correlations (SRC’s) and tensor correlations (TC’s), while also accounting for spin- and isospin-dependent forces. Calculations were carried out for the elastic electron scattering form factors, F(q), and the root-mean-square (RMS) charge radii, ⟨r²⟩¹ᐟ², of the ²⁰Ne and ²⁴Mg nuclei. The study also examined inelastic longitudinal electron …

Vascular Responses To Hand Posture Are Preserved Despite Acute Endothelial Dysfunction: Insights From Pulse Wave Velocity And Finger-To-Finger Timing, Zain Al-Abideen Falah Ali, Fezaa Shalal Neda, Bassam Talib Al-Gailani

Baghdad Science Journal

Limb posture alters hydrostatic pressure and vascular tone through mechanical and reflex pathways, but the contribution of endothelial function remains uncertain. To determine whether vascular responses to hand elevation and dependency persist during transient endothelial dysfunction induced by ischemia–reperfusion injury (IRI), eighteen healthy adults (9 males, 9 females) underwent ECG-gated pulse recordings at three hand positions: heart level (H-0°), 90° below (H-90°), and 50° above (H+50°), before and after IRI. Primary outcomes were pulse wave velocity (PWV) and finger-to-finger pulse arrival-time difference (f–f ΔT); secondary outcomes were wrist mean blood pressure (MBP), heart rate (HR), and ΔPWV/ΔBP slope. The result …

Raman Spectroscopy And Optical Properties Of Ceo2:Al2O3 Nanocomposites Synthesized By Pulsed Laser Deposition, Alaa Nazar Abd Algaffar, Noha H. Harb, Sabah N. Mazhir

Baghdad Science Journal

This study investigated the effects of laser energy on the phase-change mechanism, optical properties, and structure of CeO₂:Al₂O₃ nanoparticles synthesized via pulsed laser deposition (PLD). The study employed Raman spectroscopy, UV-Vis spectroscopy, X-ray diffraction (XRD), atomic force microscopy (AFM), and field emission scanning electron microscopy (FESEM). The process techniques were compared at different laser pulse intensities (530, 730, and 930 mJ). Porous silicon (PS) substrates have been created using the photoelectrochemical etching of n-type silicon. The XRD results for CeO₂:Al₂O₃ nanoparticles indicated a polycrystalline cubic phase. Raman spectroscopy of CeO …

Solvability For Couple Nonlinear Elliptic Partial Differential Equations, Ahmed A. Muhsen, Jamil A. Ali Al-Hawasy

Baghdad Science Journal

As it famous the solvability of any mathematical problem play an important rule for many investigators whose interested about the numerical solution for such mathematical problems because it gives them the green light about the ability to solve such problems numerically, besides to give the green light for solving numerically many real life problems in various field of sciences; like the physics, medicine, astronomy, chemistry, biology, different branch of engineering and many other fields. For this reason, this work is devoted to studying the solvability (in infinite dimension) of a couple of nonlinear elliptic partial differential equations (CNLEPDEs) with four …