Digital Commons Network^™

Research On Path Smoothing Processing Of Mobile Robot Based On Improved A* Algorithm, Mengyuan Chen, Guifang Qiao, Xu Zou, Jiayu Cao, Lei Tian

Journal of System Simulation

Abstract: Traditional bidirectional A* algorithm has many path inflection points, undergoes smoothness, and faces diagonal obstacles in path traversing. Therefore, an improved bidirectional A* algorithm was proposed. Local path constraint search was added to the forward search and backward search, respectively to solve the problem of planning paths traversing diagonal obstacles, and the effectiveness of the improved bidirectional A* algorithm to avoid traversing diagonal obstacles was verified through simulations. The path inflection points were optimized by introducing the cubic B-spline curve, and the paths before and after smoothing were tracked and controlled, respectively by using the differential-driven mobile robot. The …

Boolean Network Model Optimization Based On Neural Network And Genetic Programming, Jinlin Tang, Yan Wang, Xiang Liu, Tuanjie Wang, Zhicheng Ji

Journal of System Simulation

Abstract: To address the issues of complex node relationships and low accuracy in large-scale Boolean network inference, a new optimization algorithm integrated with long short-term memory (LSTM) networks and genetic programming was proposed. An enhanced LSTM network combined with a self-attention mechanism was designed to extract potential regulatory nodes from time-series data. These nodes were utilized as terminals of the syntax tree for the design of the genetic programming algorithm, and new operators were introduced to optimize Boolean function search. Experimental results have demonstrated that the proposed method significantly outperforms the most advanced existing algorithms in inference accuracy. The Boolean …

Twin Modeling Of Gearbox Fault Early Warning System Based On Spatio-Temporal Characteristics, Yuanxing Tian, Zeyin Han, Ning Wang, Baoding Su, Weilin Xiang

Journal of System Simulation

Abstract: The wind turbine gearbox cannot effectively collect vibration signals under complex faults, which leads to the decline of fault early warning accuracy of wind turbine gearbox. To address this issue, this study investigated the twin modeling of gearbox fault early warning system based on spatio-temporal characteristics. Through the information acquisition subsystem and optical fiber sensing technology, the time sequence and spatial position data of the wind turbine gearbox during operation were collected in real time to obtain spatio-temporal characteristic data. By using the twin space, the collected spatiotemporal characteristic data of the gearbox were transmitted to the virtual space. …

Image Feature Point Matching Algorithm Based On Attention And Hierarchical Features, Na Chen, Jiajia Bai, Qiyin Zhou, Jialin Li

Journal of System Simulation

Abstract: Feature point detection and matching is one of the core technologies in the field of intelligent driving. Aiming at the lack of consistency and continuity of feature points extracted by the existing algorithms, as well as the problem of easily ignoring the contextual semantic information when matching, this paper proposes an image feature point matching algorithm based on attention and hierarchical features (AHMF). In the feature point detection stage, differential interaction attention module (DIAM) is proposed to enhance the model's attention to the salient regions so as to improve the robustness of the feature points; further introduction of hierarchical …

Evolutionary Reinforcement Learning Based On Elite Instruction And Random Search, Jian Di, Xue Wan, Limei Jiang

Journal of System Simulation

Abstract: Evolutionary reinforcement learning currently suffers from low sample efficiency, a single coupling method, and poor convergence, which can affect its performance and scaling. To address this issue, an improved algorithm based on elite gradient instruction and double random search was proposed. The direction of the reinforcement strategy gradient update was corrected by introducing elite strategy gradient guidance carrying evolutionary information during reinforcement strategy training. Double stochastic search was used to replace the original evolutionary component, reducing the complexity of the algorithm while making the policy search meaningful and controllable in the parameter space. The introduction of complete replacement information …

Research On Temperature Compensation Technology Of Fiber Optic Gyroscope Based On Iscso-Bp Neural Network Model, Zhili Zhang, Jin Liu, Zhaofa Zhou, Zhe Liang, Yunhao Zhang

Journal of System Simulation

Abstract: To address the issue that changes in ambient temperature significantly affect the output accuracy of the fiber optic gyro (FOG), which causes zero bias drift, increases measurement errors, and limits their application accuracy in complex environments, a temperature compensation model based on BP neural networks was proposed. To improve the performance of neural networks, the sand cat swarm optimization (SCSO) was improved, and the improved SCSO (ISCSO) was used to optimize the weights and thresholds of BP neural networks. Experimental results show that using the ISCSO-BPNN temperature compensation model to compensate for the gyro's temperature errors significantly improves the …

Dynamic Supernetwork Modeling Of Command Information System Based On Task Timing, Xuehuan Qiu, Zhiming Dong, Liang Li, Zhuoli Liu

Journal of System Simulation

Abstract: Due to the difficulty in reflecting the various information activities and interactions within the command information system using general modeling methods for complex system structure, the advantages of supernetwork in characterizing node heterogeneity and link multiplicity of the system were utilized. Based on the research on the mapping mechanism of the command information system across three domains, the dynamic and multifunctional properties of the functional network structure were analyzed. A dynamic supernetwork model based on task timing was constructed considering task requirements, providing model support for further research on complex interaction relationships in the command information system. The dynamic …

Research On Time Sequence Design Method Of Dynamic Simulation Scene For Starlight Navigation, Xiaoting Su, Xiaowei Zhang, Yi Tian, Qi Li, Shuaihao Wang

Journal of System Simulation

Abstract: To solve the problem of misidentification of star maps due to time sequence mismatch in the hardware-in-the-loop simulation system of star navigation, where star trackers with different shutter types (global shutter and rolling shutter) and star simulators with varying refresh display methods (whole frame refresh and line sweep refresh) operated without synchronization, a time sequence design method of the dynamic simulation scene for starlight navigation without the need of external synchronization signals was proposed. The method could design the refresh frequency and duty cycle of the corresponding star simulators according to the detector integration time of the tested star …

Robot Path Planning Optimization Based On Fusion Of Improved Ant Colony Algorithm And A* Algorithm, Lanying Yang, Chao Li, Haifeng Zou, Jiangtao Wan, Renqiang Zhang, Hui Liu, Hong Lu

Journal of System Simulation

Abstract: To improve slow search efficiency and achieve real-time obstacle avoidance in traditional ant colony algorithms, an adaptive ant colony algorithm was proposed. A guidance direction mechanism was introduced to shorten the time of node selection. The A* algorithm's path-finding mechanism was introduced into the heuristic function to reduce the length and number of circles of the optimal path solution. The route planned by the traditional A* algorithm was used as the initial iteration data of the ant colony algorithm in global path planning, so as to solve the problem of slow initial convergence of the ant colony algorithm. The …

Fy26 Dcag Committee 11.18.2025, Julia Lovett

HELIN Board of Directors reports

Minutes from the DCAG Affinity Group 11.18.2025

Development Of A Low-Barrier, Reimbursable Take-Home Naloxone Program At A Regional Health System, Kory S. London, Sejal Patel, Drew Lockstein, Jamal Rashid, Dennis Goodstein, Richard Pacitti, Tareva Warrick-Stone, Frederick Randolph, Alan Cherney, Karen Alexander, Megan Reed

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

INTRODUCTION: Take-home naloxone (THN) programs in emergency departments (ED) can reduce opioid overdose deaths by providing naloxone directly to at-risk patients before discharge. However, sustainable models that integrate reimbursement and workflow alignment remain limited.

METHODS: A reimbursable ED-led THN program was developed across a large regional health system. The program used electronic health record (EHR)-integrated ordering, on-site kit dispensing, and third-party insurance billing when available. Kits were stocked in automated medication dispensing systems and supplemented by city-provided stock for uninsured patients. Pilot outcomes included kits dispensed and reimbursement rates across eight participating EDs.

RESULTS: A total of 2,520 naloxone kits …

Optimization Of Service Caching And Computation Offloading In Digital Twin Cloud-Edge Networks, Jiayu Zheng, Zhuxue Mai, Zheyi Chen

Journal of System Simulation

Abstract: In mobile edge computing (MEC), to satisfy diverse user demands by jointly optimizing service caching and computation offloading and address low-efficiency resource utilization caused by irrational resource allocation, this paper proposed a novel joint optimization of service caching and computation offloading with a convex-optimization-enabled deep reinforcement learning (JCO-CR) method. Additionally, a new model for digital twin cloud-edge networks (DTCEN) was constructed. The joint optimization of service caching and computation offloading was decoupled into two sub-problems, which were solved by an improved deep reinforcement learning method and convex optimization theory, respectively. Simulation experiments demonstrate that the proposed JCO-CR method …

Research On Cgf-Oriented Natural Language Interaction Framework, Xinmeng Li, Kai Xu, Yue Hu, Hesong Huang, Quanjun Yin

Journal of System Simulation

Abstract: To address the mismatch between existing natural language interaction frameworks and training tasks in simulation-based military training, which limits smooth interaction between trainees and Computer Generated Forces (CGF), this paper proposes a Natural Language Interaction framework for Computer Generated Forces (NLI4CGF). The framework analyzes the logic and functional requirements of natural language interaction between trainees and CGF, and establishes an interaction architecture tailored for military simulation training scenarios. It supports semantic parsing and knowledge query tasks within a prototype system developed for infantry squad simulation training. Experimental results demonstrate that the proposed model performs effectively, meets the requirements of …

The Experiences Of African Americans Seeking Health Care Services, Sandy Latreice Sullivan

Walden Dissertations and Doctoral Studies

Health care experiences are shaped by life events and cultural background, making engagement with providers individualized. African Americans have historically reported distrust of health professionals due to targeted mistreatment. The purpose of this generic qualitative study was to explore the experiences of middle-aged African American adults receiving care from non-African American health care providers. Rosenstock’s health belief model was the framework for the study. Nine participants were recruited from social media using purposeful sampling. Data were gathered through semistructured interviews held on Zoom. Saldana’s four-step qualitative data analysis process was utilized to analyze the data. The results of the data …

The Perceptions And Lived Experiences Of German Volunteers Aged 55 Or Older In Development Service In Tanzania, Barbara Wohanka

Walden Dissertations and Doctoral Studies

As global aging trends and longer life expectancy encourage many seniors to seek meaningful engagement through volunteering, this research examined how such activities influence their perceptions and experiences. While much of the existing literature on volunteering in later life has concentrated on individuals involved in local community service, little research has addressed what motivates seniors to volunteer abroad. The purpose of this qualitative study was to examine the perceptions and lived experiences of German volunteers aged 55 or older in development service in Tanzania and the influence of these experiences on their lives. The theoretical framework examined the guiding approaches …

Staff Education To Reduce The Incidence Of Central Line Infections In The Pediatric Intensive Care Unit, Khldon Hassan Al-Omari

Walden Dissertations and Doctoral Studies

This Doctor of Nursing Practice (DNP) staff education project aimed to reduce the incidence of central line-associated bloodstream infections (CLABSI) in the Pediatric Intensive Care Unit (PICU) by educating clinical staff on the importance of hand hygiene and bundle compliance. Despite established guidelines, CLABSI remains a significant issue in healthcare, particularly in PICUs, where patients are at higher risk for infections. The practice-focused question guiding the project was: How does staff education on hand hygiene and CLABSI bundle compliance impact the prevention of CLABSI in the PICU? Twenty-five PICU nurses participated in the educational sessions. Analytical strategies included pretests and …

Promote A Healthy Learning Environment By Responding To Transition To Practice Safety Concerns, Julie Miller, Sara Grieshop

Biennial Convention (CONV)

Background: The ECRI recognized transition to practice (TTP) as 2024’s top patient safety concern. Challenges newly licensed nurses (NLNs) face during TTP and orientation (TTP/O) include: developing competence in managing patient care complexities and integrating into interprofessional teams. Job satisfaction, retention rates, nurse well-being, and patient outcomes are affected by the TTP/O periods.

Purpose: Our goal is to support NLNs with TTP challenges. A TTP/O pathway including nurse competencies with measurable performance outcomes (POs) and essential knowledge, skills and abilities (KSAs), and digital knowledge assessment tools was developed and implemented.

Methodology: A staged orientation to assess overall competency and a …

Early Laser For Burns Scars (Elabs): A Qualitative Exploration, Vanessa Heaslip, Sharon Dochety, Shelley Rhodes, Obioha Ukoumunne, Katie Breheny, Kate Attrill, Jonathon Pleat, Mark P. Brewin

Biennial Convention (CONV)

Burns are a global public health issue. Due to improvements in burn management, mortality rates are reducing, resulting in burns being a leading cause of morbidity globally (WHO 2023). Up to 70% of patients develop hypertrophic scars after burns (Finnerty et al., 2016) as well as other associated physical (itching, pain, tightness and limited joint mobility) and psychological complications (low mood, anxiety and PTSD). These complications have a significant impact upon the individual’s quality-of-life which Finnerty et al., (2016) argues is the greatest unmet challenge in burn rehabilitation. Current treatments for burn scar management include moisturisation, silicone gel, pressure therapy, …

Quality Of Life Of Young Adults Living With Chronic Kidney Disease At A Tertiary Hospital In Ghana, Gloria Achempim-Ansong, Menford Owusu Ampohah, Ramatu Tanko Adams

Biennial Convention (CONV)

Globally, Chronic kidney disease (CKD) is highly prevalent (10-13% of the population), irreversible, progressive, and associated with higher cardiovascular risk. The diagnosis of End Stage Renal Disease (ESRD) is still a death sentence in sub-Saharan Africa (SSA). In Ghana, some patients with moderate to advanced CKD eventually progress to end-stage renal disease and have poor quality of life (QOL). Attempts to lower the morbidity and mortality of kidney disease may be thwarted by rising economic and health inequities, migration, demographic change, unsafe working conditions, environmental risks, natural disasters, and pollution. Young adults perform worse than younger adolescents do or older …

Decoding Teen Slang: A Simulation Model For Psychiatric Nurse Practitioner Education, Kristen M. Vandenberg

Biennial Convention (CONV)

In the rapidly evolving world of teen and young adult slang, staying current with the latest terminology is crucial for healthcare professionals working with this demographic. For providers in psychiatric and mental health fields, an understanding of this evolving language can facilitate improved communication and foster trust, thereby enhancing clinical outcomes.

This study introduces a simulation model specifically designed for nurse practitioner students in a psychiatric mental health program, aiming to bridge the communication gap between providers and young clients. Grounded in a conceptual framework of cultural competence and communication theory, the simulation seeks to improve student understanding of adolescent …

Postgraduation Ngn Preparation Lived Experiences Of Baccalaureate Nursing Graduates, Kristy P. Ludy

Biennial Convention (CONV)

Purpose: The purpose of this study was to explore baccalaureate nursing graduates’ lived experiences of preparing for the Next Generation NCLEX (NGN) after graduation.

Background and Problem: The American Nurses Association (ANA) projects that by 2030, there will be approximately 194,000 nurse vacancies (American Nurses Association, 2023). Nursing programs must adequately prepare students for practice and to be successful on the licensure examination to address the nursing shortage. The newer licensure examination format of the Next Generation NCLEX (NGN) evaluates clinical judgment, an essential aspect of decision-making in patient care. (Nunn-Ellison et al., 2020). With the implementation of the NGN, …

Perceived Impacts Of Self-Care Strategies To Reduce Stress In First-Year Bsn Students, Valerie Pauli

Biennial Convention (CONV)

Background: Research identifies considerable stress among students enrolled in nursing programs. Coloring is known to de-stress; therefore, students experience lowered anxiety and stress levels. The purpose of this study was to (1) explore the impacts of mindful coloring on reducing perceived stress of first-year baccalaureate nursing students and (2) explore the students' insights into effective self-care and stress management approaches formed during their first semester in the nursing program (N=29).

Methods: This study applied a quasi-experimental, mixed-methods, design. A convenience sample of undergraduate nursing students attending a four-year Midwest university was used. The mindful coloring intervention included participants engaging in …

Advancing Herbal Medicine: The Role Of Nanosomal Technology In Treating Skin Diseases, Pedro Anugerah Aswan, Baitha Palanggatan Maggadani, Wilzar Fachri, Raditya Iswandana

Pharmaceutical Sciences and Research

Herbal medicine has become popular worldwide, especially in developing countries, with around 80% of the population opting for herbal treatments. The perceived benefits of natural remedies, such as affordability and fewer side effects, drive this trend. Herbal therapies effectively manage skin diseases, infections, and common ailments. However, the absorption of bioactive compounds in herbal extracts is often limited. Recent developments in nano-based herbal delivery systems, like nanosomal, show promise in enhancing the efficacy of herbal remedies for topical applications, providing improved solubility, stability, and skin penetration. This review describes various nanosomal studies developed and successfully used to enhance the topical …

A Week-Long Departmental Scholarship Curriculum For Pediatric Subspecialty Fellows, Amy Creel, Amanda Messer, Robin English

School of Medicine Faculty Publications

BACKGROUND: Scholarly activity is a key requirement in pediatric subspecialty fellowship training. However, clear guidance on how to effectively support fellows in their scholarly endeavors remains limited. OBJECTIVE: This study assesses the impact of a week-long departmental scholarship curriculum designed to enhance fellows' research competencies. METHODS: In 2024, a curriculum was designed and delivered to first-year pediatric subspecialty fellows over 5 days, combining group learning sessions with individualized tasks. Pre- and post-curriculum surveys assessed fellows' confidence and knowledge across key scholarly domains. Daily session evaluations provided additional feedback. Fourteen fellows from 9 pediatric subspecialty programs participated. RESULTS: All first-year fellows …

Peer-To-Peer Transitional Coaching Program, Jennifer Marie Carpenter, Susan J. Owens, Khristina Grimm

Biennial Convention (CONV)

High nurse turnover is an international concern that exacerbates the nursing shortage, and this shortage impacts patient outcomes, quality of care, patient satisfaction with care and job satisfaction for employees (Bae, 2023; Winter et al., 2020). According to the United States Bureau of Labor Statistic (2023), 193,100 openings for Registered Nurses (RN) are expected each year, over the next decade. In 2023, the national turnover rate for hospital-based nurses was 22.5%, and the RN vacancy rate was 15.7% (NSI Nursing Solutions Inc., 2023). Even more alarming is the suggestion that first year registered nurse turnover within hospitals, far exceed all …

Generational Differences Among Nurse Leaders And The Development Of Nurse Leader Role Competence, Hephzibah Sophie Edwin, Cassandra Lawrence

Biennial Convention (CONV)

Background: Nurse leaders practice under extreme stressors and poor organizational support decreases their job satisfaction, increasing their intention to quit^1,5. As nurse leaders’ role continues to expand, it is crucial to enhance their role competence through comprehensive training and ongoing support for their successful transition ^2,4.

Purpose: Nurse leaders differ in their competence based on experience and generational diversity. This study is about the development of a leadership academy to promote nurse leader development, and retention through ongoing training, while also targeting generational differences in building nurse leader-role competence.

Methods: This project was instituted with the mission …

Nurses' Contributions To Zero Hunger: An Integrative Review, Janice Evans Hawkins, Beth Tremblay, Roy E. Brown

Biennial Convention (CONV)

Background: Hunger, or food insecurity, is a growing problem globally and contributes to disproportionally higher mortality and morbidity rates, particularly within vulnerable populations. As frontline healthcare workers, the daily work of nurses is critical to meeting social and environmental needs of health, such as hunger. Yet, to date, there is no comprehensive review of the literature that examines nurse-involved research related to food insecurity.

Purpose: The purpose of this integrative review was to synthesize findings of nurse-involved observational and interventional studies that address food insecurity.

Methods: We conducted a systematic search of multiple databases for peer-reviewed literature from inception through …

Lgbt Healthcare Access Experiences - “I Had A Doctor Who Literally Tried To Kill Me", Austin Nation

Biennial Convention (CONV)

PURPOSE: The purpose of this project is to: (a) explore the current experiences and needs of the lesbian, gay, bisexual, and transgender (LGBT) population when accessing healthcare services. LGBT individuals are known to experience adverse situations when accessing health care services.

METHODS: Qualitative focus groups were conducted with members of the LGBT community utilizing a cross-sectional convenience sample from two organizations serving the LGBT community. Analysis was done to examine themes and to look for differences and similarities within and between LGBT sub-populations.

RESULTS: Three themes emerged from the analysis including: issues accessing LGBT providers, need for LGBT competency and …

Empowering Nursing Education With Generative Ai And Freire’S Critical Pedagogy, Kechi Iheduru-Anderson, Chimezie Agomoh, Julia U. Ugorji

Biennial Convention (CONV)

Purpose: This abstract explores integrating Generative AI tools, such as ChatGPT, with Paulo Freire's critical pedagogy in nursing education. It aims to demonstrate how this intersection can foster critical thinking, student empowerment, and ethical awareness, ultimately transforming the way nurses are educated.

Background: Generative AI technologies are increasingly used in nursing education to create personalized learning experiences and simulate real-world healthcare scenarios. However, there is a risk of reinforcing passive learning models without a solid pedagogical framework. Freire's critical pedagogy, which emphasizes dialogue, reflection, and praxis (action based on reflection), offers a robust framework to ensure that students remain active …

Self-Calibrating Passenger Flow Simulation And Spatial Optimization For Public Building Based On Gru-Sa, Jinglin Xu, Qianru Chen, Yang Peng, Fangqiang Yu

Journal of System Simulation

Abstract: Real-time and precise passenger flow simulation provides critical data support for the optimal allocation of resources in public building facilities and the rational design of spatial layouts. This study proposed a self-calibrating passenger flow simulation and spatial optimization method for public buildings based on the GRU-simulated annealing algorithm. A simulation model incorporating spatial structures and flow lines was constructed using Anylogic. A self-calibrating passenger flow simulation method for public buildings was designed based on the GRU-simulated annealing algorithm and applied to the outpatient department of a hospital in Shanghai for passenger flow simulation. The effectiveness of the method was …