Digital Commons Network^™

Research On Policy Representation In Deep Reinforcement Learning, Zhen Chen, Zhuoyi Wu, Lin Zhang

Journal of System Simulation

Abstract: Deep reinforcement learning (DRL) has achieved remarkable success in various domains. Nevertheless, existing policy networks in DRL still face significant challenges in areas such as generalizability, multi-task adaptability, and sample efficiency. Policy representation, as a crucial research direction for enhancing DRL capabilities, aims to improve an agent's adaptability to environmental changes and novel tasks by constructing more efficient and generalizable forms of policy expression. This paper provided a concise overview of key research advances in the field of policy representation. It introduced diverse policy architectures, ranging from traditional multi-layer perceptron (MLP) -based policies to those based on pointer networks, …

Optimization And Simulation Of Adaptive Production Scheduling Based On Hybrid Decision-Making Mechanism, Zhicheng Ji, Zhen Quan, Yan Wang

Journal of System Simulation

Abstract: To optimize flexible production scheduling with the objectives of the longest makespan, mean tardiness, and bottleneck machine processing load rate, a hybrid decision-making mechanism scheduling algorithm was proposed based on the decision complexity and constraint characteristics of machine assignment and task sequencing. The algorithm adopted a two-dimensional chromosome to encode machine assignment and a heuristic rule to evaluate task sequencing priority, enhancing the adaptability of the method to decision-making optimization. In order to further improve the performance of the proposed scheduling method, an adaptive rule strategy was designed based on the distribution of processing time required for waiting scheduling …

The Flash Technique As An Effective Low-Intensity Intervention For Migrants At The U.S. Point Of Entry, Selma D. Yznaga, Sik-Lam Wong, Suzanne Maniss

Counseling Faculty Publications

Migrants often face severe trauma before and during their journey, leading to mental health challenges such as post-traumatic stress disorder and acute stress. This study explores the Flash Technique (FT) as a one-time intervention for newly arrived migrants. Twelve healthcare professionals and 11 student interns trained in FT provided interventions to 55 migrants, who showed substantial improvements in subjective units of distress scores. The findings highlight the efficacy of a low-intensity intervention in a humanitarian context, which can serve to mitigate the long-term psychological impact of trauma.

Stoners, Walnuts, Stockings, And Guns: A Material History Of Modern Firearms, Aiden Mashaal

History Summer Fellows

The study of firearms as material objects is notably rare among academic historians. It is relegated mainly to the pages of firearms magazines and carried out by journalists, gun collectors and enthusiasts, and gun manufacturers. Although they provide valuable information to readers outside of academia, it is long past due to observe the history of guns according to scholarly standards. This study provides a concise analysis of firearms history, focusing on the materials used in the manufacture of modern firearms—aluminum alloy and polymers. It explores the successes and failures of guns that used such materials in order to explain how …

Experimental Formula Of Single Particle Level Density In Pre-Equilibrium Reaction, Sarah Shakir Ali, Ali Dawoud Salloum

Baghdad Science Journal

In this study, a new formula for single particle level density was found from experimental values of single particle level density using the curve fitting. This new formula was substituted in Ericson's formula which is used to calculate the partial level density in pre-equilibrium nuclear reactions and in the corrected formulas of William's formula, spin corrected formula and surface formula. The results for each formula were compared with the results for the same formula using single particle level density from the equidistant spacing model ESM. It was noticed that there is good agreement between the results of single particle level …

Granulocyte-Colony Stimulating Factor Effects On The Mesolimbic Dopamine Circuitry And Adaptations With Chronic Ethanol Exposure, Rachel Ji-Hyae Campbell

Theses and Dissertations

The mesolimbic dopamine (DA) system contributes to reward and reinforcement learning for ethanol (EtOH). The nucleus accumbens (NAc) receives DA input from the ventral tegmental area (VTA) encoding rewarding information. Acute EtOH increases NAc DA levels, and this DA response is attenuated with chronic EtOH exposure. Furthermore, chronic EtOH results in reduced DA release, increased DA clearance and presynaptic D2-type auto-receptor sensitization. Further research into EtOH-induced neural adaptations that modulate NAc DA release is explored herein, including changes in cholinergic interneurons (CIN), which are known regulators of DA transmission. One potential class of regulators are immune related cytokines, that can …

Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham

Theses and Dissertations

Rocket launches generate extremely high acoustic levels, particularly in the low-frequency range, posing risks to both launch vehicle integrity and surrounding infrastructure. This thesis investigates the use of near-field acoustic intensity measurements to localize sound sources on moving launch vehicles, with a focus on characterizing source behavior during the early phases of liftoff. Using data from the Antares 230 NG-19 mission, acoustic pressure was recorded at multiple stations surrounding the pad, and the Phase and Amplitude Gradient Estimator (PAGE) method was employed to compute intensity vectors as a function of frequency and time. Signal processing parameters were systematically evaluated, including …

Integration Of A Pedometer-Based Physical Activity Intervention With Cognitive Behavioral Therapy For Adults With Chronic Obstructive Lung Disease, Patricia M Bamonti, Marilyn L Moy, Grace A Rose, Amy K Silberbogen, Jeffrey A Cully, Erica R Checko, David Coultas, Brent R Schell, Jennifer Moye

Faculty, Staff and Students Publications

Physical activity interventions effectively improve physical activity (i.e., daily step count) and reduce the risk of adverse health outcomes in persons with chronic obstructive pulmonary disease (COPD), but effects on depression and anxiety are poorly understood. Behavioral interventions concurrently targeting both physical activity and mood symptoms are needed in this population. This paper describes acceptability testing and refinement of Step-CBT, a synchronous, video-delivered, pedometer-based physical activity intervention integrated with cognitive behavioral therapy (CBT) to improve step count in individuals with COPD; physical disability and depression and anxiety symptoms are secondary outcomes. Adults (N = 5) with COPD and clinically significant …

Current Situation Of Simulation Course Offerings In Colleges And Universities In China And Abroad, Xiaogang Qiu, Zhengqiu Zhu, Kai Xu, Guanghong Gong

Journal of System Simulation

Abstract: As fundamental teaching units, courses serve as vital carriers of disciplinary knowledge transmission and critical bridges for converting research outcomes into educational content. The construction of simulation courses plays a pivotal role in developing the simulation discipline. The inaugural "Intelligence+ " symposium on simulation discipline and specialty construction focused on exploring the current state of simulation courses and pedagogy in China while examining future development directions. This report presented the key findings and discussions from the symposium regarding simulation courses and pedagogy. The analysis covered four parts: first, an overview of simulation course offerings and characteristics at European and …

Research On Requirements And Methods For Intelligent Assessment Of Simulation Credibility, Bingheng Wang, Tingrui Liu, Fan Yang, Huan Zhang, Wei Li, Ping Ma, Ming Yang

Journal of System Simulation

Abstract: The accuracy of simulations in representing real-world systems is a critical concern for users. Simulation credibility assessment ensures trustworthiness by evaluating the correctness and effectiveness of simulations to meet application requirements. As simulation technologies are widely adopted, and new simulation paradigms emerge, traditional assessment methods are increasingly showing limitations in their dependence on experts, data processing capabilities, and assessment efficiency. This paper systematically reviewed the research demands, current progress, new technologies, and future trends of intelligent simulation credibility assessment. Based on the simulation credibility assessment process and problem analysis, the requirements for intelligent credibility assessment were discussed. Intelligent technologies …

Research On Simulation Training Technology For Special Vehicle Command Based On Gesture Behavior Cognition Interaction, Xiangyang Li, Zhili Zhang, Rui Wang, Xiao Wang, Cheng Chi

Journal of System Simulation

Abstract: To overcome the practical shortcomings in the driving command training of special vehicles, a simulation training technology framework based on gesture behavior cognition and command interaction was proposed. A somatosensory interactive motion capture device and human skeleton model were used to conduct the real-time dynamic recognition and spatial coordinate transformation of the gesture actions of the command training personnel. The median filtering method was applied to eliminate the abrupt data and random noise. The spatial coordinates were processed consistently by using the human skeleton centralization and normalization method. Based on the command gesture action behavior model library and the …

Dynamic Data Driven Simulation Based On Macro-Microscopic Hierarchical Simulation Models, Xu Xie, Yuqing Ma

Journal of System Simulation

Abstract:This paper proposed a dynamic data driven simulation approach based on macro-microscopic hierarchical simulation models. This approach enabled the measurement data from the real system to affect the macroscopic simulation and microscopic simulation in sequence and made the two simulations evolve together so that it could provide decision makers with the state evolution prediction of the real system at the macroscopic level to assist decision making and provide a microscopic testbed similar to the real system, on which decision makers could deduce and evaluate their strategies. This paper established a formal description of the approach and designed a data …

On The Use Of Wearable Continuous Glucose Monitors (Cgms), Jovita Ozonnadi

Walden Dissertations and Doctoral Studies

This DNP project implemented an educational module on the use of continuous glucose monitoring devices (CGM) to increase staff knowledge of diabetic care and glycemic control for the diabetic population in a community healthcare clinic. Diabetes mellitus is a significant health concern that poses a substantial challenge to the community and the American healthcare system with a higher burden of diabetes complications found among the low income, uninsured, and minority populations. Poor glycemic control is a major health issue that significantly increases the risk of developing diabetes-related complications such as heart and kidney diseases, and obesity. The adoption of CGM …

Perspectives Of Childcare Center Directors Regarding Barriers To Naeyc Accreditation, Jessica Baffoe

Walden Dissertations and Doctoral Studies

NAEYC accreditation is a hallmark of quality in early learning and lack of accreditation suggested a gap in practice. The problem that was the focus of this research is that only 12% of early childhood center-based programs in the United States are accredited by the National Association for the Education of Young Children (NAEYC). The purpose of the study was to explore perspectives of childcare center directors regarding NAEYC accreditation. Knowles’s adult learning provided the conceptual framework for this study and guided 3 research questions about directors’ perspectives of barriers, benefits, and the necessary support they associated with NAEYC accreditation. …

Protein Structure Influences Redox Stability, Oxygen Affinity, And Heat-Induced Denaturation Properties Of Bovine Myoglobin, Hemoglobin, And Cytochrome C, Anuj Sharma, Runnan Li, Silan Bhandari, Surendranath P. Suman, Sadagopan Krishnan, Morgan Pfeiffer, Gretchen Mafi, Ranjith Ramanathan

Animal and Food Sciences Faculty Publications

While past research has predominantly focused on the role of myoglobin in meat color, investigations into the contributions of hemoglobin and cytochrome c are limited. Cytochrome c has the highest redox stability (P < 0.05), followed by myoglobin and hemoglobin. Electrochemistry analysis revealed that cytochrome c has a greater capacity (P < 0.05) to reduce than myoglobin and hemoglobin. Differential scanning calorimetry indicates that cytochrome c was most stable to heat (P < 0.05), while no differences were noted between myoglobin and hemoglobin. Structural analysis noted that greater heat and redox stability of cytochrome c might be attributed to fewer histidine residues (3) and more covalent bonds (4) than myoglobin (13), hemoglobin α (10), and hemoglobin β (6). This study suggests that the amino acid sequence and number of covalent bonds can impact the redox stability and heat-induced denaturation properties of myoglobin, hemoglobin, and cytochrome c.

A Glyoxal-Specific Aldehyde Signaling Axis In Pseudomonas Aeruginosa That Influences Quorum Sensing And Infection, Christopher J. Corcoran, Bonnie J. Cuthbert, David G. Glanville, Mailyn Terrado, Diana Valverde Mendez, Benjamin P. Bratton, Daniel E. Schemenauer, Valerie L. Tokars, Thomas G. Martin, Lawrence W. Rasmussen, Matthew C. Madison, Andrew F. Maule, Joshua W. Shaevitz, Boo Shan Tseng, Julian P. Whitelegge, Catherine Putonti, Amit Gaggar, Jordan R. Beach, Jonathan A. Kirk, Alfonso Mondragón, Abby R. Kroken, Jonathan P. Allen, Celia W. Goulding, Andrew T. Ulijasz

Biology: Faculty Publications and Other Works

The universally conserved α-oxoaldehydes glyoxal (GO) and methylglyoxal (MGO) are toxic metabolic byproducts whose accumulation can lead to cell death. In the absence of a known, natural inducer of the GO-specific response in prokaryotes, we exploited RNA-seq to define a GO response in the bacterial pathogen Pseudomonas aeruginosa. The highest upregulated operon consisted of the known glyoxalase (gloA2) and an antibiotic monooxygenase (ABM) domain of unknown function - renamed here Aldehyde responsive quorum-sensing Inhibitor (ArqI). The arqI-gloA2 operon is highly specific to GO induction and ArqI protein responds by migrating to the flagellar pole. An ArqI atomic structure revealed several …

Matrix Molecules Associated With Both Regulation Of Inflammation And Pathogenic Outcomes Associated With The Surface Of The Lens In The Eyes Of Eau Mice, Phuong M. Le, Jodirae Dedreu, Mary J Mattapallil, Rachel R Caspi, Ryan Tomlinson, Mary Ann Stepp, A. Sue Menko

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Immune cells with immunoregulatory properties are recruited to the surface of the lens in the Experimental Autoimmune Uveitis (EAU) mouse and remain linked through resolution of EAU inflammation. Since protein components of the extracellular matrix provide biochemical and mechanical signals that regulate immune cell migration and phenotype, we investigated whether EAU inflammation caused matrix molecules to become associated with the lens surface. We focused on matrix proteins known to influence leukocyte phenotype and behavior, and/or lead to pathological outcomes in uveitis. We found that fibrinogen became associated with the lens capsule surface by the peak of EAU inflammation and increased …

Reliability Simulation Testing And Verification Technologies For Intelligent Systems: Frontiers, Progress, And Challenges, Zili Wang, Yuntian Gao, Dezhen Yang, Yeyang Liu, Yi Ren

Journal of System Simulation

Abstract: Intelligent systems are extensively deployed in domains such as transportation, energy and water resources, smart healthcare, and aerospace, where their reliability is directly linked to public safety and social stability, thus requiring thorough and scientifically rigorous verification. This article conducted an in-depth exploration of the current state of reliability simulation and verification techniques for intelligent systems. It defined the concept of reliability specific to intelligent systems and identified key challenges they face in areas including mission scenario modeling, characteristic modeling and simulation, evaluation and verification, and simulation platforms. Future development requirements were proposed to guide research toward more trustworthy, …

Modeling And Simulation Of Complex Systems Based On Graph Neural Networks, Jinhu Lü, Hongyi Jiang, Deyuan Liu, Shaolin Tan

Journal of System Simulation

Abstract: Modeling and simulation of complex systems are critical issues for understanding their structural and functional properties. The ability of graph neural networks (GNNs) to learn and represent the internal correlations within data provides a new approach for modeling and simulating complex systems. Currently, there are various types of GNN models involving frequency-domain, spatial-domain, generative, heterogeneous, and spatio-temporal models. These models are widely applied in complex system modeling and simulation research in multiple fields such as industrial internet, social networks, and supply chains based on specific tasks and scenarios. Starting from three representative tasks: network topology representation, dynamic evolution modeling, …

Intelligent Transition Of Automotive Industry Driven By Autonomous Driving Simulation Testing Technology, Jianping Wu, Guanzhou Li, Shuai Zhao, Ling Huang

Journal of System Simulation

Abstract: As a pivotal approach supporting the safety verification and commercial implementation of intelligent driving systems, autonomous driving simulation testing has achieved remarkable progress in technical methodologies and application scenarios. Conventional real-world road testing faces critical limitations including prohibitive costs, inadequate coverage of corner case scenarios, and efficiency bottlenecks, rendering it insufficient for safety validation of high-level autonomous driving systems (L4 and above). To address these challenges, simulation testing frameworks have evolved into a multi-layered verification system encompassing mathematical modeling, virtual scenarios, hardware-in-the-loop (HIL), mixed reality, and cloud-based simulation clusters. Specifically, mathematical modeling accelerates algorithm development; virtual scenario simulation enhances …

Digital Twinned Industrial Robot: Conceptual Framework, Key Technologies, And Case Study, Yongkui Liu, Kang Yang, Benben Tuo, Yaduo Pan, Xinyu Wang, Yihan Wang, Yongqian Gong, Lin Zhang, Lihui Wang, Tingyu Lin, Bin Zi, Yuan Li, Wei You, Xun Xu

Journal of System Simulation

Abstract: To effectively enhance the value and full life cycle management level of industrial robots, this paper integrated deeply digital twin with industrial robots and discussed a new concept, namely digital twinned industrial robot (DTIR). It defined the concept, composition, and typical characteristics of DTIRs and proposed their system architecture. From the perspective of the full life cycle of "design, manufacturing, operation and maintenance, and decommissioning", the key technologies of DTIRs were systematically sorted out. Furthermore, the validity of the proposed conceptual framework was verified through a case study. Finally, the paper summarized the findings and discussed the future development …

Large-Scale Social Simulator: Frontiers And Perspectives, Jinghua Piao, Chen Gao, Fang Zhang, Jun Su, Yong Li

Journal of System Simulation

Abstract: Social experiments, as a typical research method in social sciences, aim to study specific social phenomena or the impacts of policies by observing the behaviors of individuals, organizations, or social groups in real or simulated environments. However, traditional social experiment methods often face challenges such as random bias, high costs, and ethical risks, making them inadequate to address increasingly complex research demands. Against this backdrop, computational social experiments have emerged, enabling researchers to conduct social experiments within computational simulation environments that are free from random bias, cost-efficient, and ethically manageable. Meanwhile, China is currently undergoing a critical period of …

Indirect Excitons And Many-Body Interactions In Ingaas Double Quantum Wells, Christopher L. Smallwood, Rachel Owen, Matthew W. Day, Takeshi Suzuki, Rohan Singh, Travis M. Autry, Smriti Bhalerao, Fauzia Jabeen, Steven T. Cundiff

Faculty Research, Scholarly, and Creative Activity

Spatially indirect excitons in semiconductor quantum wells are relevant to basic research and device applications because they exhibit enhanced tunability, delocalized wave functions, and potentially longer lifetimes relative to direct excitons. Here we investigate the properties of indirect excitons and their coupling interactions with direct excitons in asymmetric InGaAs double quantum wells using optical multidimensional coherent spectroscopy and photoluminescence excitation spectroscopy. Analyses of the spectra confirm a strong influence of many-body effects and reveal that excited-state zero-quantum coherences between direct and indirect excitons in the quantum wells dephase faster than the much-higher-energy single-quantum coherences between excitonic excited states and ground …

Designing Context-Specific Physical Activity Interventions For English Primary Schools: Key Learning From A Four-Month Rapid Ethnography, Robert Walker, Danielle House, Simona Kent-Saisch, Alice Porter, Ruth Salway, Lydia Emm-Collison, Michael Beets Med, Mph, Phd, David Revalds Lubans, Frank De Vocht, Russell Jago

Faculty Publications

Background

Physical activity is essential for children’s health. Primary schools offer an opportunity to equitably promote physical activity. However, school-based interventions have been shown to have little to no effect, potentially due to a lack of consideration of school heterogeneity. This study reports on a rapid ethnography study that was used to capture insights into English primary schools physical activity. The data are intended to inform the design of a context-specific intervention to improve pupil physical activity.

Methods

Three researchers conducted a four-month rapid ethnography study within three primary schools in Bristol, UK, between March and July 2024. Several methods …

A Two-Stage Dual-Task Learning Strategy For Early Prediction Of Pathological Complete Response To Neoadjuvant Chemotherapy For Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Images, Bowen Jing, Jing Wang

Faculty, Staff and Student Publications

Early prediction of treatment response can facilitate personalized treatment for breast cancer patients. Studies on the I-SPY 2 clinical trial demonstrate that multi-time point dynamic contrast-enhanced magnetic resonance (DCEMR) imaging improves the accuracy of predicting pathological complete response (pCR) to chemotherapy. However, previous image-based prediction models usually rely on mid- or post-treatment images to ensure the accuracy of prediction, which may outweigh the benefit of response-based adaptive treatment strategy. Accurately predicting the pCR at the early time point is desired yet remains challenging. To improve prediction accuracy at the early time point of treatment, we proposed a two-stage dual-task learning …

Lgbt Young Adults’ Experience Of Exiting Foster Care, Shaylon Joseph

Walden Dissertations and Doctoral Studies

The scholarly community understands little about the experiences of lesbian, gay, bisexual, and transgender (LGBT) young adults as they transition out of the foster care system. This study explored the lived experiences and difficulties encountered by LGBT young adults after exiting foster care. Grounded in Erikson’s theory of psychosocial development, this qualitative dissertation employed a phenomenological design to interpret how participants made sense of their transitions. Recruitment was conducted through a flyer posted on Facebook and the Department of Children and Family Services; 10 LGBT young adults participated in 60-minute interviews. Using interpretative phenomenological analysis, the study revealed six overarching …

Solving Hierarchical Variational Inequality For Almost Mean Nonexpansive Mappings, Noor Saddam Taresh, Salwa Salman Abed

Baghdad Science Journal

A clear common method in solving some types of nonlinear problems is to exchange the original problem with a collection of regularized problems and all these regularized problems have exactly one solution. A particular solution of the original problem will be obtained as a limit of these unique solutions of the regularized problems. This idea is used to provide a method for the hierarchical fixed point approach to solving variational inequality problems (VIPs). In this work, we intend to study two new iterative schemes by examining their strong convergence to a common fixed point for mappings defined for a nonempty …

Assessing The Influence Of Radiotherapy On The Level Of Zinc In Cancer Patients Serum, Muqdad A. Yousif, Talib A. Abdulwahid

Baghdad Science Journal

Cancer patients often undergo radiation therapy as part of their treatment plan, and certain levels of zinc are essential for repairing DNA and maintaining our immune system. Therefore, this study aimed to determine the extent of the effect of this type of treatment on the level of zinc in blood serum, as 106 samples were collected from both healthy individuals and cancer patients to measure zinc levels in blood serum. Atomic absorption spectroscopy was used after properly preparing the sample, and the results showed that the healthy group had an average zinc concentration of (1.316 ± 0.10) × 10^{3 …}

Field Width Comparison Of The Photon Beams 6 Mv And 10 Mv Coming Out Of The Radiotherapy Linear Accelerator, Basma Saber Lazem, Ikram Jumaa Hassan, Basim Khalaf Rejah, Hyam Khalaf, Mostafa Yuness Abdelfatah Mostafa

Baghdad Science Journal

The current study aims to measure and compare the field width emerging from the radiotherapy linear accelerator in different directions, three dimensions were chosen to measure the field width in an orderly (inline, cross line, diagonal A and B) manner. The 10 Mv and 6 Mv photon beam energies were used, and the Star Track device was adopted to measure the field width in different directions. The radiotherapy linear accelerator at the Baghdad Center for Radiation Therapy and Nuclear Medicine was used every week five weeks. The results recorded that when the energy increased 10 Mv, there was an increase …

Role-Playing For Learning: Enhancing Skills In Doctrinal Courses, Yael Efron, Nellie Munin

DRI Press

This book addresses the need that educators have to make theoretical concepts tangible. Teachers across various subjects and educational settings grapple with the challenge of communicating abstract ideas to diverse audiences while aiming to ignite curiosity and sustain engagement. The authors offer their insight into the method of role-playing in various law courses in a highly diverse class. The book contains thirteen simulations with teaching notes, along with the theoretical background for this method of teaching.

This is the first in a series of skills books published as part of Mitchell Hamline School of Law’s Laboratory for Advancing Dispute Resolution …