Digital Commons Network^™

Study On Semi-Physical Simulation Method Of Air Turbo Rocket Engine In Startup Process, Xuesen Yang, Wei Zhao, Binglong Zhang, Sanqun Ren, Xiaorong Xiang, Qingjun Zhao

Journal of System Simulation

Abstract: To satisfy the requirements for validating the control law of air turbo rocket (ATR) engines, a semi-physical simulation approach was proposed based on serial communication. This platform integrated a rapid prototype system, a supply system, a measurement and control system, a signal simulator, a fault injection system, and a real-time computer. A digital model of the engine was developed based on cross-compilation technology, enabling the coupling and semi-physical simulation of the engine control system and the supply system. A semi-physical simulation of the ATR engine in the startup process was carried out, and the fault handling strategy of the …

Research On 3d Visualization Of Safety Monitoring And Early Warning For Steel Continuous Casting Scenarios, Wei Zhang, Wei Sheng, Yidan Cao, Tingsheng Zhao

Journal of System Simulation

Abstract: In order to improve the visualization and integration of production safety monitoring and fault warning, a three-dimensional (3D) visualization model architecture for whole-process industrial production safety monitoring and early warning for steel continuous casting scenarios was designed. By using 3ds Max and Unity3D, a multi-dimensional and multi-scale model was built, and functional modules such as visualization display and multi-level early warning for safety monitoring data were developed. By combining WebGL technology and Node. js runtime environment, the visualization of whole-process industrial production safety monitoring based on Web terminal was realized. The alarm threshold determination method for whole-process industrial production …

Digital Testing And Evaluation: Current Status, Challenges, And Prospects, Bo Sun, Kai Zheng

Journal of System Simulation

Abstract: Digital testing and evaluation (DTE) represents a novel paradigm in the evolution of testing and evaluation methodologies within the digital era. It is achieved through the integration of multiple digital theories and technologies to conduct testing and evaluations in the digital domain. This paper analyzed the characteristics of test objects across different historical periods, reviewed the core features of testing and evaluation techniques in each stage, and unveiled the paradigm shifts within the testing and evaluation technology system. Building upon this foundation, it explored the new demands placed on testing by test objects in the information age, clarifying the …

Adaptive Sampling And Ghost Multi-Scale Fusion For Lightweight Weld Defect Detection, Bin Lu, Xuan Yang, Zhenyu Yang, Xiaotian Gao

Journal of System Simulation

Abstract: To improve the accuracy and speed of welding defect detection and achieve lightweight models, a lightweight weld defect detection network based on YOLOv8, named light adaptive-weight sampling-YOLO (LAW-YOLO), was proposed. A lightweight adaptive weight sampling LAWS module was designed. It constructed an adaptive weight attention feature map by learning the interacting features within the receptive field. An optimized efficient weighted bidirectional feature pyramid network was adopted as the feature extraction backbone in LAW-YOLO. Furthermore, a ghost multi-scale sampling module was designed, and a hybrid attention mechanism was introduced to enhance the detection capability for small-scale defect targets. Experimental results …

Research On Simulation Technology Of Fire Extinguishing In Engine Compartment Of Special Vehicle, Jianmin Niu, Yue Zhong, Feng Xu, Jindun Ma

Journal of System Simulation

Abstract: In view of the difficulty of measuring the detection response time and evaluating fire extinguishing abilities of the fire extinguishing system after a fire accident in the engine compartment, the turbulence model was adopted, and numerical modeling of the fire propagation and the diffusion process of Halon fire extinguishing agent during the firefighting process was carried out. The development of fire and the fire extinguishing process at the corner and the middle position of the vehicle compartment was simulated, and the temperature changes during the occurrence and extinguishing of fires in different environments were collected, so as to obtain …

Research On Joint Simulation Of Special Vehicle Engine Operation Characteristics Based On Virtual Driving Scenarios, Xueyuan Xie, Chen Lin, Han Wu, Qinglan Zhao, Junfei Gao, Qiangguo Hao, Xinqian Zheng

Journal of System Simulation

Abstract: The preliminary design of the overall operation performance of diesel engines cannot be guided by actual vehicle driving tests, which hinders the improvement of the power development level and efficiency of special vehicles. By using the virtual visual simulation engine Unity3D, two virtual driving scenario models were established: a flat road scenario and an undulating road scenario. Based on the speed characteristic parameters of the engine, a diesel engine's operation performance output model was constructed. Combined with the transmission system model and the longitudinal dynamics model of the vehicle's center of mass, a straight vehicle driving dynamics model was …

Detection Of Small Apple Targets Based On Improved Yolov5 In Natural Environments, Zilong Liu, Lei Zhang

Journal of System Simulation

Abstract: The distribution of apples usually features occlusion and small and dense targets. To address these issues, a target detection algorithm was proposed based on an improved YOLOv5 model. Specifically, this paper added the coordinate attention (CA) mechanism, receptive field block (RFB), and adaptively spatial feature fusion (ASFF) modules to the YOLOv5, enhancing the ability to detect small targets. Additionally, the proposed algorithm replaced the CIoU in YOLOv5 with SIoU to improve the target detection box's prediction accuracy. Finally, some normal convolutions were replaced with depthwise separable convolutions (DSC), effectively reducing the calculation burden. Experiment results show that the comprehensive …

Use Of Motivational Interviewing To Increase Compliance In Therapy To Improve Work And Education Preparation For At-Risk And Underserved Youth, Javon Smith, Jan Greer, Sean Tory

Summer 2025 OTD Capstone Symposium

At-risk and underserved youth often face barriers to educational attainment, employment, and psychosocial well-being, which can limit their long-term occupational engagement. This doctoral capstone project implemented an eight-week, occupational therapy–informed program at R.I.S.E. Homes in Las Vegas, Nevada, integrating the Model of Human Occupation (MOHO) and Motivational Interviewing (MI) frameworks. The program aimed to enhance life skills, emotional regulation, conflict resolution, and career readiness among youth in transitional living. Using a trauma-informed, client-centered approach, sessions combined didactic instruction, interactive activities, and role-play to foster skill acquisition and self-efficacy. Outcomes were measured through pre- and post-program self-assessments and qualitative feedback from …

Empowering Independence: Strategies For Safe Aging In The Home And Community For The Older Adult Population, Madelyn Rashford, Becky King, Keegan Mckay

Summer 2025 OTD Capstone Symposium

This capstone project created an occupational therapy–based guidebook to promote safe aging in place for community-dwelling older adults. The guidebook includes fall prevention exercises, home safety strategies, and community resources to support independence in daily activities. Implementation showed increased safety awareness and confidence, reinforcing occupational therapy’s role in fostering independence and quality of life.

Evaluating Updated Fentanyl Immunoassays For Loperamide Interference, Michael E. Walsh, Grace R. Williams, Paul J. Jannetto, K. Aaron Geno

Dartmouth Scholarship

Background

Loperamide is a µ-opioid receptor agonist that reduces intestinal peristalsis and is used to treat diarrhea. We previously described significant cross-reactivity of loperamide with 2 fentanyl immunoassays. Since then, new fentanyl immunoassays, including a CLIA-waived point-of-care device, have been approved for clinical use. Methods

We evaluated new fentanyl immunoassays for cross-reactivity to loperamide and its major metabolites, N-desmethyl loperamide (dLop) and N-didesmethyl loperamide (ddLop). Previously characterized assays were tested for cross-reactivity to ddLop, which recently became commercially available. Loperamide, dLop, and ddLop were spiked in drug-free urine for analysis by 5 enzyme immunoassays run on automated chemistry analyzers and …

The Label Of Low Effort: Exploring Teachers’ Effort-Related Language, Meritocratic Beliefs, And Attribution-Based Responsibility Assignments, Kelly A. Larson

Doctorate in Education

Educators play an integral role in the academic success and future educational trajectory of their students. Yet, in an unjust, hyper-individualistic education system grounded in a meritocratic myth, even the most well-intentioned teachers have a tendency to explain students’ underperformance through a self-protective, deficit-based attribution process that puts the onus of academic achievement almost entirely on students and their families. This recursive cycle is especially damaging for students who do not exhibit effort in normalized, Eurocentric ways. This study examines how teachers’ attributions and responsibility assignments for students’ perceived low-effort behavior are shaped by inequitable meritocratic beliefs and reinforced through …

Short-Term Load Forecasting Based On Dual-Attention Temporal Convolutional Long Short-Term Memory Network, Lifen Li, Jinyue Zhang, Wangbin Cao, Huawei Mei

Journal of System Simulation

Abstract: In order to improve the accuracy of load forecasting and fully extract the hidden relationships between load and other characteristic factors, a load forecasting method based on dual-attention temporal convolutional LSTM network (DA-TCLSNet) was proposed. Correlation analysis was conducted on the dataset using the maximum information coefficient method to perform feature screening to reduce the computational cost of the model. The model input was constructed using a sliding window. The DATCLSNet forecasting model was constructed. The temporal convolutional layer extracted dependencies at different time scales and captured the nonlinear characteristics among variables such as load and weather. The multi-head …

Effective Strategies K–12 School Leaders Can Use To Improve Technology Integration In Classrooms, Shamila Ahmed Hashim

Walden Dissertations and Doctoral Studies

With the rapid rise in demand for effective technology integration in K-12 classrooms, particularly in nonpublic schools, strong leadership is crucial. The absence of effective strategies can hinder student learning outcomes, posing a significant challenge for educators who are striving to improve academic success. This qualitative research project included a pragmatic inquiry design was to explore the strategies that some K–12 school leaders apply to improve classroom technology integration and enhance student learning outcomes. Grounded in the technology integration matrix framework, the study involved a purposive sample of five school leaders from nonpublic K-12 institutions in Maryland. Data were collected …

Late Holocene Paleodietary Patterns Among The Ancestral Ohlone: Ecogeographic Partitioning Of Resources Along The San Francisco Bay Eastern Shore, Melanie M. Beasley, Eric J. Bartelink, Alan Leventhal, Monica V. Arellano, Richard Massiatt, Charlene Nijmeh

Faculty Research, Scholarly, and Creative Activity

Objectives: In the San Francisco Bay Area, Late Holocene resource intensification models predict an increase in diet breadth and a reduction in foraging efficiency associated with an increase in population, sedentism, and territoriality among fisher-hunter-gatherer populations. Here we compare bone stable carbon (δ¹³C) and nitrogen (δ¹⁵N) isotope values of sites along the eastern bay shore to interpret how ecogeographical partitioning of resources by latitude and distance from the bay reflects differential access and control of resources. Materials and Methods: With the support of, and in collaboration with, the Muwekma Ohlone Tribe of the San Francisco Bay …

Post-Traumatic Myelin Oligodendrocyte Glycoprotein Antibody Optic Neuritis: A Case Report, Saif A. Hamdan, Jaime Nassur, Sarah E. Thornton

Wills Eye Hospital Papers

PURPOSE: Myelin oligodendrocyte glycoprotein (MOG) antibody-associated disease (MOGAD) has recently been distinguished as its own disease entity separate from other demyelinating diseases. This case report highlights the possible association of orbital trauma with the development of MOG antibody (MOG-IgG) optic neuritis.

OBSERVATIONS: A 31-year-old male with no significant ocular history presented with blurry vision in the right eye four weeks after a motorcycle crash. Right eye examination was notable for a significant decrease in visual acuity with a relative afferent pupillary defect and circumferential disc elevation on fundoscopy. An extensive workup, including imaging and serology, revealed optic neuritis with a …

Archival Articulations Of Belonging: Resistance, Reimagination, And Resilience In School And In Incarceration, Caroline Hastings

Dissertations

Belonging is a universal desire, providing purpose and comfort, that supports our ability to survive and triumph through difficulty. A lack of belonging can impact one’s likelihood of becoming incarcerated. In turn, incarceration stigmatizes individuals and disrupts connections with family, friends, and community members. This study of individual’s experiences of belonging analyzed reflective written accounts created during incarceration. This phenomenological qualitative examination of belonging for formerly and currently incarcerated individuals, disproportionately people of color and individuals with disabilities, sought to deepen our understanding of belonging as a force in their lives. In the United States, high rates of incarceration impact …

Pathways To Educational Equality : Insights From China’S Higher Education Stratification And Social Stratification, Qingbin Xu

Lingnan Theses (Doctoral degree)

It is essential to examine the equity of the newly established higher education system and elucidate the reasons and consequences of stratification within the context of China’ higher education and social hierarchy, because in the wake of massification and expansion, China’s higher education system has been seeing alterations in stratification patterns. Through the Status Attainment Model and the Wisconsin Model, this study employs a mixed-method approach that integrates quantitative and qualitative techniques to assess higher education and social inequality in mainland China. The findings indicate that the conventional status attainment model, when subjected to structural equation modelling analysis, reveals that …

Resource Allocation Method For Virus Spreading Control Based On Multi-Granularity Cooperative Coevolution, Xuanli Shi, Weineng Chen, An Song, Tianfang Zhao

Journal of System Simulation

Abstract: According to the principle of simplifying a complex problem into sub-problems for solution, a resource allocation method for virus spreading control based on multi-granularity cooperative coevolution (MGCC) was proposed. According to the characteristics of human's social network structures, MGCC decomposed the network into sub-networks with different scales according to different decomposition granularities. A contribution-based decomposition granularity selection strategy was proposed. Historical archives were used to record the contribution of different decomposition granularities to optimization, and the appropriate decomposition granularity was selected according to the optimization status. A projection-based constraint repairing strategy was designed to ensure the feasibility of solutions. …

Multi-Robot Hierarchical Collaborative K-Robust Path Planning For Path Interference, Kaixiang Zhang, Jianlin Mao, Niya Wang, Zhihao Xu

Journal of System Simulation

Abstract: To plan collision-free paths for multiple robots in interference environments, based on the multi-robot k-robust path planning, this paper designed a multi-robot hierarchical collaborative k-robust path planning framework. In the priority optimization layer, in response to the starting predicament caused by the solution sequence, the multi-robot path solving sequence was determined based on the closure factor. In the multi-robot robust coordination layer, with the goal of improving solution efficiency, a safety interval was introduced as the basis for the design of k-robustness and collision-free avoidance. A collision-free path constraint for multiple robots in the sense of k-robustness was given. …

Antidepressant Medication Nonadherence In Adult Patients With A Major Depressive Disorder, Sandrine Djou Kaze

Walden Dissertations and Doctoral Studies

The chosen approach for the Doctor of Nursing Practice (DNP) project was a clinical practice guideline (CPG) on interventions to improve antidepressant medication adherence in adults diagnosed with depression in an outpatient setting. The consequences of medication nonadherence in patients with depression are devastating for individuals and the healthcare system. Therefore, addressing it within nursing practice is essential to improve treatment efficacy and patient outcomes. The practice question related to the DNP project was to determine whether the CPG could improve antidepressant medication compliance in adults diagnosed with a depressive disorder in an outpatient setting. I aimed to develop a …

The Meaning Of Academic Achievement For Fathers Of African American At-Risk Urban Female Youth, Shurise Telesford

Walden Dissertations and Doctoral Studies

Family dynamics, parenting styles, and the impact of parental involvement on children have long been studied, with much of the focus traditionally placed on the mother-child relationship. This study shifted that focus to explore the perceptions of African American fathers of at-risk female youth regarding academic achievement. Using a generic qualitative approach and guided by Freire’s Pedagogy of the Oppressed, a theory emphasizing how the marginalized learn through critical awareness and collaboration, I sought to understand how these fathers view their daughters’ educational experiences and barriers to success. Data were collected through semi-structured interviews with seven fathers living in urban …

State Government Policies And Opioid Overdoses And Deaths, William Jerome Howard

Walden Dissertations and Doctoral Studies

In the United States, opioid deaths posed a significant public health crisis with profound social and economic implications. The opioid crisis continued despite the implementation of state-level prescription drug monitoring programs (PDMP), naloxone access laws (NALs), and Medicaid expansion programs. Existing research demonstrated opioid deaths and nonfatal overdose patterns highlight the need for targeted harm reduction strategies, but there remained a lack of quantitative studies that addressed the effectiveness of opioid harm reduction policies. The purpose of this quasi-experimental quantitative research was to evaluate the relationship between state-level PDMPs, NALs, Medicaid expansion programs, and the COVID-19 global pandemic period (2020-2023), …

Spartan Daily, August 20, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 1

The Impact Of Different Antidiabetic Drugs On Fracture Risk In Patients With Type 2 Diabetes Mellitus: A Systematic Review And Network Meta-Analysis Of Randomized Controlled Trials With A Focus On Sglt2 Inhibitors, Bushra Admani, Fizza Z. Raza, Fatima Siddiqui, Muhammad T. Ashraf, Muhammad K. Khan, Ifra Habib, Ayesha Usman, Bareeha Mansoor, Zaira Nadeem, Rana J. Ghaffer, Muhammad Riyyan, Sawaira Sajid, Muhammad H. A. Chania, Mahnoor Saleem, Saad Javaid, Nikhil Duseja, Hussam Al Hennawi, Sunita Lakhani

Abington Jefferson Health Papers

SGLT2 inhibitors are a new class of antidiabetic drugs that have shown cardiovascular benefits in patients with type 2 diabetes mellitus (T2DM) and cardiovascular disease. However, their effects on fracture risk are unclear and may depend on the type and duration of treatment. This meta-analysis compares the fracture risk of different antidiabetic drugs, including SGLT2 inhibitors, based on data from randomized controlled trials (RCTs). We searched 4 databases for RCTs that reported fracture events in patients with T2DM who received different antidiabetic drugs. We included 117 RCTs that compared 9 types of antidiabetic drugs: SGLT2 inhibitors, DPP-4 inhibitors, α-glucosidase inhibitors, …

Storage Life Assessment Methods For Long-Term Storage Products Based On Multi-Scale Simulation: A Review, Hongmin Li, Xiao Han, Shuo Huang, Shengpeng Zhang, Shuanglong Rong, Hao Li, Cheng Qian

Journal of System Simulation

Abstract: Traditional experiment-based life assessment methods for long-term storage products suffer from drawbacks such as prolonged duration, high cost, and low prediction accuracy, greatly limiting the effectiveness of storage life assessment in practical applications. With the advancement of digital simulation technology, simulation analysis methods based on the physics of failure (PoF) have emerged as a research hotspot in the field of storage life assessment, as they can accurately characterize product aging behavior. The multi-scale characteristics of long-term storage products and their typical storage failure modes and mechanisms were analyzed. Multi-scale modeling and simulation analysis methods for storage failures of fundamental …

Simulation And Optimization Of Support Processes For Aircraft Fleet Launch Under Limited Resources, Feng Gong, Tao Jiang, Qin Zhang, Yu Liu

Journal of System Simulation

Abstract: To address the scheduling problem of aircraft fleet support processes under limited resources, a fleet support process optimization model that covered multiple aircraft, activities, and resource constraints was developed. An activity node graph model was used to establish the temporal logic, resource competition, and other constraints in the fleet support process, forming a "time – activity – resource" multidimensional optimization model. A genetic algorithm based on priority encoding was proposed, incorporating a serial decoding strategy and a dynamic penalty function to handle the complex constraints in the model, efficiently solving the optimization problem under complicated temporal and resource constraints. …

Optimization Of Product Oil Distribution With Multiple Trips And Multiple Due Dates Under Dynamic Demand, Yong Xie, Hailong Gao, Yutao Chen, Huanjiang Wang

Journal of System Simulation

Abstract: In the case of dynamic demand, considering the order due date, vehicle transportation time window, and other factors, this paper developed an optimization model of periodic product oil distribution with multiple trips and multiple due dates to maximize the distribution revenue. The paper also designed a reinforcement learning-based large neighborhood search algorithm to solve the problem. The initial solution was constructed based on the forward insertion heuristic algorithm. Then, a deep reinforcement learning model for neighborhood operator selection was designed. By fitting the action value function through the double deep Q network, the optimal neighborhood operator was selected, and …

Trajectory Planning And Tracking For Multi-Quadcopter In Dynamic Obstacle Environments, Haosheng Jiang, Fangfang Wu, Zexian Huang, Ziyue Ma, Chunyun Dong, Xubin Ping

Journal of System Simulation

Abstract: Multi-quadrotor UAV systems face challenges when performing complex tasks in dynamic obstacle environments. Therefore, a comprehensive particle swarm optimization-based task allocation method, a trajectory planning integrating the traditional Informed-RRT* and A* algorithms, and a trajectory tracking method based on model predictive control were designed. The multi-quadrotor task allocation problem was constructed as a classical multiple traveling salesman problem, and then, the particle swarm optimization was used to assign the task to multi-quadrotor UAVs. A fusion algorithm that combined the advantages of traditional Informed-RRT* and A* algorithms for quadrotor UAV trajectory planning was designed, so as to ensure that a …

Research On Non-Singular Fast Integral Terminal Sliding Mode Trajectory Tracking Control Of Six-Axis Robotic Arm, Tao Chen, Lizhong Wang, Xiangjun Zou, Xiaojuan Li

Journal of System Simulation

Abstract: To address the trajectory tracking control challenges caused by modeling parameter inaccuracies and disturbance uncertainties in robotic arms, a non-singular fast integral terminal sliding mode control scheme was developed. A new type of non-singular fast integral terminal sliding mode controller was designed. The non-singular fast terminal sliding mode ensured the rapid convergence of the system while avoiding the singularity during convergence. The integral term was used to enhance the suppression ability of disturbances and ensure the rapid response of the controller to errors. Lyapunov stability theory was applied to analyze the controller's convergence. The simulation results show that the …

Lightweight Driver Face Object Detection Algorithm Based On Yolov8-Df, Mingyu Li, Jiaquan Lin

Journal of System Simulation

Abstract: The YOLOv8n detection algorithm has a large amount of computation and parameters in the driving environment. To address this issue, a lightweight driver facial object detection algorithm YOLOv8-DF was proposed. A lightweight multi-scale convolution module (LMCM) was proposed to replace the Conv module in the network, and the dual-channel design could reduce the computation and parameter quantity of the algorithm; the multi-scale design could enrich the feature information inside the network. The lightweight convolutional GhostConv, Fasterblock module, and C2f module were fused, and a dual-channel lightweight convolution module (DLCM) was fused with the SPPF module. The experimental results show …