Digital Commons Network^™

Path Planning For Mobile Robots Based On Improved Rrt-Connect And Dwa Fusion, Yi Luo, Jia Deng

Journal of System Simulation

Abstract: To improve the efficiency and quality of dynamic path planning for mobile robots in complex environments, this paper proposed a path planning algorithm that combined an improved RRT-connect with the DWA. Two expanding random trees were introduced for alternating expansion, and a dynamically restricted sampling area was set to reduce the randomness of the sampling process while ensuring the probability completeness of the algorithm. A target bias adaptive step size strategy was employed to enhance the target orientation of the random tree expansion process. A greedy strategy was adopted to prune redundant nodes in the path and smooth the …

Modeling And Simulation Of Traffic Signal Control Based On Mlp With Improved Gcn-Td3, Deqi Huang, Yating Tu, Zhenhua Zhang, Xin Guo

Journal of System Simulation

Abstract: To address the issues of uneven traffic flow at urban intersections, limited road capacity, and the poor coordination of existing traffic signal control algorithms, a traffic signal control algorithm based on graph convolutional reinforcement learning was proposed. By utilizing a multilayer perceptron, the dynamic features of vehicles and phase information at the controlled intersection and its neighboring intersections were extracted. A graph convolutional neural network was then employed to aggregate these vehicle dynamic features into potential features representing regional traffic. The control strategy was derived through multiple iterations of an improved twin delayed deep deterministic policy gradient (TD3) algorithm. …

Soft Sensor Modeling Based On Improved Transformer In Dual-Stream Framework, Hao Gu, Jiayu Wang, Weili Xiong

Journal of System Simulation

Abstract: Industrial process information is highly nonlinear and dynamic, with long-term dependencies between data, making it difficult to adequately extract time-series features. To address this issue, an improved Transformer-based soft sensor model in a dual-stream framework was proposed. The data were segmented and expanded. The features were extracted in parallel using a dual-stream structure combining a convolutional neural network with a self-attention mechanism and the improved Transformer model. The dual-stream features were fused for soft sensor regression. Residual connections were further introduced to accelerate the convergence speed of the model, and an orthogonal random features-based improved multi-head attention mechanism was …

An Improved Virtual Terrain Generation Method Based On Simplex Noise, Bo Shen, Jianqin Zhang, Shuaibao Ma, Zheng Wen

Journal of System Simulation

Abstract: To address the issues of high computational complexity, slow generation speed, and insufficient realism present in traditional virtual terrain generation methods, this study proposed an improved virtual terrain generation method based on Simplex noise. This method leveraged the advantages of Simplex noise, such as high computational efficiency, low hardware overhead, and more natural randomness, to construct a basic terrain template. A fractal algorithm was introduced to enhance the level of terrain details through the superposition of noises with multiple frequencies and amplitudes. With the integration of a turbulence algorithm, random perturbations and complexity were added to further improve the …

Research On Constrained Programming Of Manipulator Using Rrt* Algorithm And Ellipse Prior, Zhen Yang, Li Su, Zhiyu Cheng

Journal of System Simulation

Abstract: There are problems in the traditional RRT* algorithm using a uniform sampling strategy applied in constrained programming problems, such as inaccurate turning guidance of sampling points and unnecessary node cost comparisons, which lead to an increase in additional time costs. To address these issues, an improved RRT* algorithm was proposed. This algorithm leveraged a heuristic function cost of the projected sampling points to make an ellipse prior judgment on the sampling points. Based on the ellipse prior, the sampling points were judged to determine whether they could optimize the path and shorten the programming time. The geodesics were used …

Low-Energy Multi-Robot Path Planning Algorithm Under Hca* Framework, Ning Wang, Jianlin Mao, Dayan Li, Chengyuan Fang, Chengze Qian

Journal of System Simulation

Abstract: To address the energy optimization problem in multi-robot path planning, this paper proposed a multi-robot path planning algorithm based on the energy-guided hierarchical cooperative A* (E-HCA*) algorithm. To address the issue of robot oscillations caused by mutual avoidance at bottlenecks and narrow passages in multi-robot systems, a node expansion method with path length as a secondary feature was introduced, and a greedy suppression strategy under the cooperative A* framework was proposed. A differential-drive robot energy consumption model was established, and an energy-guided heuristic function was constructed by integrating energy metrics into the underlying A* algorithm to guide low-energy path …

Robust Identification Of Dual-Rate Sampled Nonlinear Systems Based On Salr Network, Wenbin Jiang, Yuqing Cao, Li Xie, Huizhong Yang

Journal of System Simulation

Abstract: A robust identification algorithm based on the self-join adjacent-feedback loop reservoir (SALR) network was proposed for dual-rate sampled nonlinear systems with complex nonlinear characteristics and measurement outputs containing outliers. The SALR network was applied to describe the nonlinear characteristics of the target system, and wavelet neurons were injected into the reservoir to enhance its memory and nonlinear description capabilities. The identification problem of the nonlinear system was transformed into the identification problem of the network's output weight matrix. The Huber loss function was used to construct the criterion function, and an error threshold was introduced to improve the robustness …

Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li

Journal of System Simulation

Abstract: In order to reduce cost losses caused by delivery delays, distributed heterogeneous hybrid flowshop scheduling problems under combined buffer conditions of finite buffer and zero-wait were studied. A hybrid estimation of distribution algorithm based on Q-learning was proposed to minimize total weighted earliness and tardiness. For the combined buffer, dynamic decoding was designed based on the average factory allocation strategy and the shortest path method. The initial job group was optimized by reverse learning. Q-learning was embedded in the probabilistic model for intelligent searching and updating based on the group state. Reconstruction of the job group was completed using …

Multi-Objective Optimization Of Signal Timing At Intersections Considering Tailpipe Emissions, Xinhuan Ding, Huaqing Wang, Xu Dang

Journal of System Simulation

Abstract: In order to alleviate urban road congestion and improve the traffic and environmental benefits at intersections, a multi-objective timing optimization model with total delay time, total number of stops, capacity, and total tailpipe emission at intersections as optimization objectives was developed. The model incorporated tailpipe emissions into a mathematical optimization model and quantified the mathematical relationship between traffic efficiency indicators and tailpipe emissions by constructing a specific power-based algorithm for measuring total tailpipe emissions. According to the intersection delay time and the number of stops, the total tailpipe emissions could be estimated. Both the NDX crossover operator and the …

Simulation Of Three-Degree-Of-Freedom Internal Mode Sliding Mode Control For Non-Ideal Single-Inductor Dual-Output Boost Converter, Bingli Liu, Jiarong Wu, Lin Yang, Dinglin Yan

Journal of System Simulation

Abstract: To reduce the cross-interference in the single-inductor dual-output (SIDO) Boost converter and to enhance the output accuracy and stability of the system, the parasitic resistances of the circuit components were considered, and a three-degree-of-freedom internal model sliding mode control strategy was proposed for the non-ideal SIDO Boost converter. An affine nonlinear mathematical model of the non-ideal SIDO Boost converter was established, and the nonlinear system was linearized and decoupled into two linear subsystems based on the differential geometry theory. The linear subsystem was designed as a three-degree-of-freedom internal model controller and a sliding mode controller, respectively. The robustness …

A Comparison Of Mathematics Intervention Methods: Overcoming Learning Loss Caused By Covid-19, Adam Goosby

College of Education

The COVID-19 pandemic created unprecedented disruptions to the educational system and exposed weakness within the structures that resulted in measurable regression in student achievement across all academic domains, but most notably mathematics. The purpose of this study is to investigate the impact of two distinct methods of mathematics interventions provided to middle-grade students with the intent to begin to overcome the learning loss. Through the lens of the Expectancy-Value theory, the study emphasizes the importance of mathematics achievement and its role in building student capacity and establishing a growth mindset. The study employed a series of repeated-measures ANOVAs and a …

Goals Reconsidered: From Brute Prelusory States Of Affairs To The Lusory Complexity Of Sport, Francisco Javier López Frías

Kinesiology and Health Science Faculty Publications

In this paper, I examine Bernard Suits’ conceptualization of goals in his influential definition of gameplay, focusing on how his account falls short of capturing the complexity of sporting practices. Suits famously describes games as voluntary attempts to overcome unnecessary obstacles in achieving an identifiable state of affairs. By referring to this state of affairs as the prelusory goal of games, he frames gameplay as structured teleologically around this goal, converting it into the most fundamental element of his notion of gameplay. Although elegant and very intuitive, this conception of games raises tensions when applied to the complex, multilayered activities …

Aaa Wellness Connection: Awareness, Assistance, And Advancement To Promote Associate Well-Being, Hephzibah Edwin, Rachel Watkins

Creating Healthy Work Environments (CHWE)

This educational activity describes an organization's commitment and leadership support to promoting a healthy work environment. The project explores the engagement of associates through the organizational wellness connection using a AAA model - to promote awareness, assistance, and attainment of associate well-being and foster their physical and emotional health.

Detailed abstract attached.

Healthy Academic Work Environment: Creating And Sustaining A Culture Of Civility, Bettina Kay Cobb Shank, Amy Camille Conner Black, Mary Eve Rice

Creating Healthy Work Environments (CHWE)

Learn about our nursing school’s deliberate attempt to foster nurses who are civil and caring in practice. We will share our ongoing journey promoting and sustaining a civil and caring academic work and learning environment. Leave with key actionable ways to implement this shared decision-making process in your academic setting.

Detailed abstract attached.

The Utilization Of Self-Tracking Technologies For Managing Nurses’ Shift Work Related Fatigue: A Study Protocol, Soyoung Choi, Jooyoung Seo

Creating Healthy Work Environments (CHWE)

This study will provide insights on utilizing self-tracking technologies to improve the health and well-being of professional nurses in clinical settings. The presenter will introduce the synthesis of existing literature on the effects of self-tracking health behaviors and the future mixed-methods study protocol.

Detailed abstract attached.

Dynamic Order Scheduling For Pick-And-Pass System Considering Workload Balance And Learning Effects, Weihong Liu, Sixiang Zhao, Dali Zhang, Zhenhui Jiang

Journal of System Simulation

Abstract: In e-commerce logistics, the hybrid pick-and-pass systems offer both complexity and flexibility, enabling adaptation to a wider range of order picking scenarios. Therefore, they have been widely used. However, this also complicates the order scheduling problem, particularly when both workload balance and pickers' learning effects need to be considered. Efficiently scheduling orders to reduce picking time under these conditions poses a significant challenge. This study began by constructing a mathematical model for the static scheduling problem with known orders. Based on this model, a simulation model of hybrid pick-and-pass zones was developed, and a scheduling rule incorporating multiple system …

Simulation And Optimization Of Continuous Motion Control Based On Spiking Reinforcement Learning, Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Zhe Ma

Journal of System Simulation

Abstract: To improve the model robustness for multi-degree-of-freedom continuous motion control, an intelligent motion control algorithm was proposed based on the Actor-Critic reinforcement learning framework and spiking neural networks. This algorithm integrateed the Actor network with spiking population coding and enhanced model training performance by introducing feature transformation methods. The Critic network was used to evaluate the effectiveness of the motion control. The results show that, compared to other reinforcement learning algorithms, the average reward value of this method increases by more than 10%. The simulation results validate the effectiveness of the model in improving multi-degree-of-freedom continuous control performance.

The Free Press Vol. 57, Issue 5, 10-20-2025, Julz Levesque, Caraline Squires

Free Press, The

Crewe Center Opens Its Doors To The Public--USM M.A.S.H. Hosts BBQ and Resource Fair--Osher School of Music Begins iPad Pilot Testing--Campus Events Dwindle in Students Attending--The Deaf Culture Festival--Maine Senate Race Heats Up--DOJ's Voter Data Grab Meets Resistance from Maine--The Legality and Possibility of a Third Presidential Term--You Should Still Get Vaccinated This Year

Decarbonization Is Happening In U.S. Higher Education, But Carbon Neutrality Goals Alone Are Not Delivering It, Alexander R. Barron, Nubraz F. Khan, Greta Anesko, Emma S. Larsen, Junwen Ding, Shey P. Sanges, Aaron L. Strong

Environmental Science and Policy: Faculty Publications

Carbon neutrality emerged as an overall framework for climate action several decades ago, with the assumption that institutions would follow a carbon management hierarchy - reducing their own emissions (i.e. decarbonization) and relying on high-quality offsets to address any residual emissions. In practice, offsets and other accounting-based emissions reductions have often dominated both discussion and action. However, sector-wide studies examining the balance between decarbonization and offsetting have been limited. Here, we examine 23 U.S. Higher Education Institutions (HEIs) that have declared carbon neutrality and contrast their direct (Scope 1) greenhouse gas emissions reduction efforts with a broader universe of U.S. …

Navigating New Technology: A Phenomenological Study Into Technology Coaches’ Experiences During Ai Expansion In Schools, Elizabeth K. Wrzesinski

LSU Doctoral Dissertations

Artificial intelligence (AI) is rapidly influencing instructional practices in K–12 education, yet most states have not issued clear, binding policies to guide its integration. As a result, local school systems and support staff must interpret emerging guidance and determine how AI should be used in classrooms. This study examined how system-level technology coaches in the Deep South experience and support AI adoption in contexts where state guidance is advisory rather than mandatory. This qualitative phenomenological study used questionnaires and semi-structured interviews with technology coaches, and a content analysis of AI-related state and local policy guidance. Participants included technology coaches who …

A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques, Rusheng Ju, Dongdong Chen, Yunxiu Zeng, Jiyuan Liu, Sihang Qiu, Peng Zhou

Journal of System Simulation

Abstract: To address the challenges of traditional evaluation systems, such as internal module coupling, lack of reusability, and poor adaptability to multi-domain evaluation needs, a three-tier decoupled technical evaluation framework of "data + service + application" was designed. A strategy was proposed for extracting high-value information from massive audio and video data based on key events, resolving the problem of unstructured evaluation data processing. A design method combining general and dedicated evaluation model templates was proposed, improving the general applicability of the evaluation model. An expert knowledge-driven comprehensive integrated discussion and evaluation environment was constructed using qualitative and …

Green Synthesis Of Silver Nanoparticles Using Sumac Fruit By Microwave And Traditional Methods: Characterization, Anticancer, And Antimicrobial Activities, Melek Hinis, Tuğçe Karaduman Yeşi̇ldal, Demet Erdönmez, Ayfer Menteş

Turkish Journal of Chemistry

Green synthesis of silver nanoparticles (Ag-NPs) was carried out with sumac fruit extract using a microwave-assisted (MWA) method and a traditional method (TDM). The properties of nanoparticles synthesized by both methods were characterized and compared.Although both methods are environmentally friendly, the MWA method was faster, more efficient, and economical. When creating Ag-NPs, variables like temperature, pH, reaction duration, extract concentration, and silver ion concentration were considered. The production of Ag-NPs was confirmed by ultraviolet–visible spectra that displayed the surface plasmon resonance band centered at 433 and 436 nm in the MWA and TDM techniques, respectively. The results of the scanning …

The Theoretical Investigation Of The Stability And The Racemization Of Pristine, Functionalized, And Doped Expanded Helicenes, Bedi̇rhan Öztürk, Berkay Sütay

Turkish Journal of Chemistry

The Hückel aromatic and Möbius aromatic compounds, consisting of topologically different arrangements of adjacent benzene rings in the polycyclic aromatic hydrocarbon (PAH) family, have long attracted interest in both synthesis and theoretical chemistry. Among these, [n]-azene and [n]-circulene derivatives are more thoroughly explored due to their simple architectures and more accessible synthesis pathways. However, there are active ongoing studies on the synthesis of both [n]-helicene and expanded [n]-helicene structures, as well as Möbius circulenes, which are Möbius isomers of [n]-circulenes. In this regard, there is limited information available on both the experimental and theoretical characterization of the synthesized molecules. In …

Impact Of Information Security Awareness Training On Knowledge, Attitude, And Behavior: A K-12 Case Study, Michael S. Robbins, Christopher Robbins

Journal of Cybersecurity Education, Research and Practice

Abstract— Information security breaches remain a serious threat across all sectors, often exploiting human factors rather than technical flaws. This study examines how a structured Information Security Awareness (ISA) training program influences employees’ knowledge of security policies, attitudes towards those policies, and self-reported security behaviors within a K-12 educational environment. A quantitative pre-test/post-test design was employed with 201 staff members (administrators, teachers, and support personnel) in a public school district. Participants completed the Human Aspects of Information Security Questionnaire (HAIS-Q) before and after undergoing an interactive cybersecurity training program. Statistical analysis revealed a significant improvement in information security knowledge, attitudes, …

The Unavoidable Consequences Of Homelessness, Sara K. Rankin, Laura Riley

Utah Law Review

The U.S. Supreme Court’s recent Grants Pass v. Johnson decision sounded the death knell for Eighth Amendment protections for people experiencing homelessness. The decision not only overruled key Ninth Circuit decisions, but also severely cabined the Court’s own precedent, allowing cities across the country to jail and fine people for doing nothing other than surviving in public space when they have no reasonable alternative. The Eighth Amendment’s prohibition against cruel and unusual punishment is a powerful symbol of America’s aspiration to realize the dignity and humanity of all its people, especially those who are marginalized and vulnerable to systemic discrimination …

Ultra Vires Review Of Federal Agency Action Made Simple(R), Richard W. Murphy

Utah Law Review

The law governing ultra vires review seeking injunctive relief to challenge statutory violations by federal agencies is a mess. Although administrative law generally limits judicial review to final actions, a substantial body of caselaw holds that this type of ultra vires review can reach interlocutory actions, vastly expanding judicial reach. Although administrative law now insists that federal courts must exercise independent judgment when reviewing agency statutory interpretations, caselaw limits this type of ultra vires review to correcting only the most spectacular statutory violations. In addition, caselaw ignores or garbles the problem of determining which types of plaintiffs qualify to invoke …

Lidt For Femtosecond Laser Optical Components, Viviana K. Vladutescu, Mikhail Polyanskiy, Dismas Choge, Tahsinur Rahman, Tianyi Zhao, Marcus Babzien, William Li, Antonio Verderesa, Igor Pogorelski

Publications and Research

Optical technology is pushed to the upper limits of damage with the advent of ultrafast high-power (UFHP) lasers. UFHP are at the forefront of particle accelerators, being used in interaction with electron beams to produce high-gradient electron acceleration, generation of compact radiation sources like inverse Compton scattering and free electron lasers. The UFHP laser levels, repetition rates, and operating environmental conditions lower the damage threshold of the optical components of femtosecond lasers uttering them useless if not used in the given parameters. In this regard, the present study provides the threshold levels for various optical components used in 800nm femtosecond …

Height And Phytotelm Size Affect The Invertebrate Communities Of Epiphytic Bromeliads In The Amazon Rainforest, Xaali O'Reilly-Berkeley, Alex Pazmiño-Palomino, Andrea Hidalgo-Cárdenas, Sofía I. Trujillo-Regalado, Hannah Mossman, Jennifer K. Rowntree, Richard F. Preziosi

School of Biological and Marine Sciences

Tank bromeliads are found in rainforests across the Neotropics and harbour diverse invertebrate communities between their leaf axes. Various factors influence the invertebrate species richness and differences in composition in bromeliad phytotelmata, most notably, habitat size. However, there has been little work on invertebrate communities in bromeliads in western Amazonia or at different heights in the canopy. We collected 63 epiphytic bromeliads (Aechmea hoppii (Harms) L.B.Sm, A. nidularioides L.B.Sm) on the eastern edge of the Tropical Andes Biodiversity Hotspot in Ecuador and explored which biological and physical variables explained the differences in invertebrate composition among bromeliads. We extracted a total …

Clinical Course And Treatment Outcomes In Solid-Basaloid Adenoid Cystic Carcinoma Of The Breast: A Systematic Review And Case Report, Laura Porterfield, Elizabeth M Vaughan

Faculty, Staff and Students Publications

Background: Adenoid Cystic Carcinoma (ACC) is a rare, indolent subtype of triple-negative breast cancer, accounting for < 0.1 % of cases. The solid-basaloid subtype (SBACC), comprising approximately one-quarter of breast ACCs, has a poorer prognosis. While ACC is typically managed with surgery and is chemo-resistant, SBACC is more aggressive and often treated with chemotherapy and, more recently, immunotherapy-though supporting evidence remains limited.

Aim: To assess clinical characteristics and treatment outcomes of SBACC of the breast.

Methods: This study presents a case of breast SBACC and a systematic review of five databases (inception-September 10, 2024). Eligible studies reported clinical course, treatment, and outcomes. Exclusions included duplicates, non-SBACC focus, animal studies, and those lacking clinical or with only pathological data. Descriptive statistics were used for binary and categorical variables. Risk of bias was assessed using JBI tools, following PRISMA 2020 guidelines. The review is registered in PROSPERO.

Results: …

Installment Sales For “Dealers” In Personal Property: Review And Analysis (Part Ii), C. Richard Cax, Goldston F. Harris

Tax Adviser

No abstract provided.