Digital Commons Network^™

Robot Path Planning By Reinforcement Learning Based On Sac3q-Hdm, Dequan Li, Wan Xiong

Journal of System Simulation

Abstract: To address the issues of overestimated and underestimated biases, low sample utilization rate, and the inability to balance exploration and exploitation in reinforcement learning for path planning, an improved SAC method was proposed. The size balance of entropy was explored and utilized through adaptive temperature coefficient adjustment; on the basis of the SAC framework, a triple Critic architecture was introduced to dynamically weight and fuse the minimum and average values through Qvalue uncertainty, balancing overestimated and underestimated biases. A mixed dynamic sampling experience replay buffer was designed; experience data was partitioned based on reward thresholds; sampling ratios were dynamically …

Nerf Optimization Method And Simulation Research Based On Pre-Training And Differentiable Fuzzy Modeling, Yunjng Zhang, Minghui Yang, Hao Wang

Journal of System Simulation

Abstract: To address the challenges of significant geometric modeling errors, severe detail loss, and low training efficiency in neural radiance field(NeRF) reconstruction under defocused blurred input scenarios, this paper proposes two optimization strategies. One strategy is introducing Triplane features generated by the pre-trained LRM as prior knowledge, and combining a lightweight decoder and directional LoRA module to replace large MLP, thereby reducing parameters and shortening convergence time. The second strategy is integrating a differentiable blurring model into the volumetric rendering step. By jointly optimizing the radiation field and spatially variable blurring kernels, reconstruction accuracy under defocused blurred scenarios is enhanced …

Virtual Train Operation Platform Based On Digital Twin, Ziying Wang, Congjun Sun, Guihu Li, Tianhao Zhang

Journal of System Simulation

Abstract: In response to the limitations of traditional train operation simulation modeling, such as simplification, lack of adaptive adjustment capability for parameters, and proneness to error accumulation, a virtual train operation platform based on digital twin technology was proposed. A train model under specific railway lines was constructed. By combining with the intelligent operation and maintenance platform of the railway line, real-time train operation data was obtained and preprocessed. The adaptive chaos optimization algorithm was used to optimize the key parameters of train operation simulation online and establish a digital twin model of the railway line. This model adopted a …

Large-Scale Scene Registration Technology Based On 3d Gaussian Splatting Fusing Gps Prior Information, Fei Wan, Yong Yin

Journal of System Simulation

Abstract: To address the challenges of low computational efficiency, slow convergence, and limited accuracy in large-scale 3D scene registration, a 3D Gaussian splatting (3DGS) registration method integrating GPS prior information was proposed. Spatial position priors provided by GPS were utilized to establish initial alignment through coordinate system transformations, narrowing the registration search space. Dense point cloud models were efficiently reconstructed by combining 3DGS technology. Highprecision alignment was achieved through a two-stage optimization of GPS coarse registration and fine registration. Experiments demonstrate that the GPS-assisted method reduces translation errors by 25%~50% and increases success rates to 98% in vegetation-covered and …

Task Planning Method For Cross-Domain Cooperative Combat Operations Of Unmanned Systems Under Complex Constraints, Haojie Fang, Ziyang Zhen, Huajun Gong, Xu Xie, Wei Luo

Journal of System Simulation

Abstract: In pre-combat task planning for cross-domain cooperative combat operations, to solve the problems of diverse and complex constraints and difficulties in solving planning models caused by performance differences of unmanned systems and increased requirements for cooperative combat operations, a multi-strategy enhanced grey wolf optimization (MSEGWO) algorithm was proposed. By considering various complex constraints such as performance of each type of unmanned systems, munition usage, task timing, task time window, and flight path, a task planning mathematical model with minimizing the comprehensive cost as the objective was established. Improvement strategies such as nonlinear adjustment of convergence factor, alternative solution space …

Research On Uav Path Planning Method Based On Collision Free Trajectory, Jun Xie, Qi Zhang, Yanyun Peng, Haonan Shi, Dongyang Li, Xi Liu

Journal of System Simulation

Abstract: In view of the problems of poor quality, long time consumption, and low efficiency of the autonomous path planning method for unmanned aerial vehicles, a path planning method for unmanned aerial vehicles based on a collision-free trajectory was proposed. Under the premise of uncertainty, the time-related virtual points and collision threshold were set; the obstacle was modeled as a rectangle; the interest points around the rectangle were defined. The uncertainty optimization model between the unmanned aerial vehicles and the obstacle was established, so as to obtain the allowable edge of the collision-free trajectory of the unmanned aerial vehicles. The …

Construction Approach Of Llm-Empowered Tactical Wargame Decision-Making Agents, Dayong Liu, Zhiming Dong, Qisheng Guo, Ang Gao, Xuehuan Qiu

Journal of System Simulation

Abstract: Decision-making agents are critical enablers for implementing human-machine, machinemachine, and hybrid human-machine adversarial interaction in tactical wargaming, where the intelligence level of the agent is crucial. To address the limitations of traditional decision agents such as insufficient adaptability, simplistic strategies, and high construction costs, a fusion decision framework driven by the large and small models was proposed. It specifically investigated the fusion approach of large language models with conventional decision-making agent construction approaches, including behavior trees, finite state machines, heuristic search, and deep reinforcement learning. New ideas and technical pathways are provided for the construction of tactical wargame …

Research On Visual Place Recognition Algorithms For Complex Urban Environments, Peijin Liu, Minxin Zhang, Lin He, Yige Sun, Tingqi Su

Journal of System Simulation

Abstract: Dynamic factors such as traffic flow and crowd density in complex urban environments reduce the accuracy of visual place recognition (VPR) algorithms. To solve these problems, a semantic-guided visual place recognition (SG-VPR) algorithm was proposed. A semantic-guided feature suppression module was designed. A semantic-guided module and feature suppression layer were constructed to reduce the dynamic object interference and more accurately extract the key static features. An adaptive triplet margin loss function (ATML) was proposed by improving the traditional triplet margin loss. The margins were adaptively adjusted according to the sample distribution, solving the problem of suboptimal solution convergence …

Speciation Of Inorganic Arsenic In Oxic And In Reducing Groundwaters Using The As(V)-Selective Impas Resin, Martijn Eikelboom, Jay Bullen, Peter S.K. Knappett, Trevor Ferris, Matthieu Carriere, Alexandra Alvarez, Dario Omanovic, Subhamoy Bhowmick, Aaron Torres Huerta, Ramon Vilar, Jack N. Turney, Paul Lewtas, Dominik Weiss, Pascal Salaun

Research outputs 2022 to 2026

Knowledge of arsenic inorganic speciation in groundwaters is critical for optimising water treatment approaches. Here, we characterise the on-site analytical performance of the As(V)-selective ImpAs ion-exchange resin to separate As(V) from As(III) in groundwater with contrasting redox conditions. Field speciation results obtained by ImpAs in the oxic, Fe-poor groundwaters of Guanajuato (Mexico) and in the reducing, Fe-rich groundwaters of West Bengal (India) agreed with voltammetry (slope of 0.91 ± 0.03, r = 0.99, p <  0.001, n = 21). Like for arsenic, oxyanions of Mo, V, U and Cr are retained by ImpAs but their reduced hydroxy forms are not. High As(V) extraction by ImpAs (>95%) was obtained in synthetic groundwater for hundreds of samples without any regeneration, highlighting negligible interactions of major anions such as sulfate, a major advantage over …

The Agreement Between Pulse Oximetry And Measured Arterial Oxygen Saturations In Postoperative Functionally Univentricular Patients, Fabio Savorgnan, Sebastian Acosta, Joshua Prabhu, Pranathi Pilla, Vikram Shah, Saul Flores, Rohit S Loomba

Faculty, Staff and Students Publications

Background: Pulse oximetry is widely used to estimate arterial oxygen saturation, yet accuracy may vary for a number of reasons. Data on children with functionally univentricular circulation are limited. The primary aim of this study was to evaluate the agreement between arterial oxygen saturation measured by blood gas and pulse oximetry in children with functionally univentricular circulations. Methods: A retrospective analysis was performed of paired arterial blood gas and pulse oximetry oxygen saturation measurements following Norwood, Glenn, or Fontan procedures. Signed difference was defined as arterial oxygen saturation by blood gas-arterial oxygen saturation by pulse oximetry. Bland-Altman analyses, …

Reshaping Library Programming For Graduate Students Through Strategic Partnerships And Adaptation, Brian Vetruba, Caroyn Bishoff, Kate Peterson

Transforming Libraries for Graduate Students

In the wake of Covid-19, support structures dedicated to graduate student success at the University of Minnesota, Twin Cities (UMN) underwent dramatic shifts. Centralized in-person events for graduate students were discontinued, departmental identities strengthened, and library outreach responsibilities were reshaped by institutional changes, including a reduction of library staff. This panel examines how academic libraries can adapt and innovate with decreased capacity to meet the diverse needs of graduate students. Panelists will share strategies for expanding campus partnerships and sustaining and scaling initiatives that equip graduate students – especially first-year, international, and BIPOC students – with essential research skills and …

Corporate Governance As Bloodsport, Jeremy Kidd, George A. Mocsary

Pepperdine Law Review

The modern Environmental, Social, and Governance (ESG) movement promotes diversion of corporate assets from shareholders to “stakeholders.” This is done in the name of a corporate duty to society. But “successful” ESG efforts threaten the success of the corporate form by inviting rent-seeking. This conflict between ESG principles and established theories and norms of corporate law is difficult to resolve because corporate law lacks the tools needed to understand the type of collective decision-making that occurs in the corporate setting. This Article is the first to apply public choice economics—the economic study of collective decision-making—to corporate decision-making to identify the …

What Would It Take To Compose The Ideal Library Dashboard As A 'Symphony' Of Library Data?, Evan Rusch, Heidi J. Southworth, Nat Gustafson-Sundell

Library Services Publications

Most areas of the library produce data informative about the scope and success of library services. Many areas use that data, but there might be a variety of approaches. In our library, we have developed online, interactive dashboards to understand the value of collections on our campus. Other library service areas might produce one-shot reports encapsulating their data, or they rely on analytics silos specific to their services. Our hope is to work toward a dashboard of all or most library services, possibly to include other learning services under the library roof. Instead of a ‘battle of the bands,’ we …

Spirituality In Abstraction: The Female Future In 20th-Century Art, Lauren T. Sargent

Epochs Art History Journal

No abstract provided.

Generalizing Networks To Address Data Imbalance For Facial Action Unit Recognition, Andrew W. Sumsion

Theses and Dissertations

Facial action unit (AU) recognition is used in a variety of downstream applications, including sign language translation, dementia detection, pain detection, and other high-impact tasks that require understanding facial motion. Although AU recognition is a well-established field, a number of unresolved issues remain. An initial problem is the need to improve overall performance on the benchmark datasets, as measured by the average F1 score. Also, the performance across all individual AUs, not just the average F1 score, needs to be increased. Recently, the field has shifted its attention towards ensuring that AU recognition models generalize beyond the distributions represented in …

Geology Lab Activities An Open Educational Resource For Community College Students And Instructors, Rondi Davies, Ari Nakamura

Open Educational Resources

I'm delighted to present the updated version of Geology Lab Activities, initially developed during the COVID-19 pandemic for online learning. As we have returned to the classroom, this revised edition remains a versatile educational tool for community college students, adaptable for both online and in-person classes.

This manual combines my preferred open-access materials with my own contributions, forming a cohesive resource for non-major geology students. Thanks to a CUNY OER grant, I partnered with graphic designer Ari Nakamura, whose innovative and elegant design has truly elevated the book.

Our labs are crafted to be engaging and relevant for non-major …

Rethinking Ratio-Based Normalization Towards Model-Based Approaches In Heart Weight Analysis., Manuela A Oestereicher, Patricia Da Silva-Buttkus, Valérie Gailus-Durner, Susan Marschall, Helmut Fuchs, Impc Consortium, Martin Hrabě De Angelis, Elida Schneltzer, Nadine Spielmann

Faculty Research 2026

Heart weight (HW) is a critical parameter in cardiology and mouse research, commonly normalized to body weight (BW) or tibia length (TL) to account for size differences. Ratio-based normalization, however, assumes strict proportionality between variables, an assumption that is rarely tested and may bias group comparisons. We analysed HW, BW, and TL measurements from over 25,000 C57BL/6N wildtype mice generated by the International Mouse Phenotyping Consortium. Sex- and age-stratified analyses were combined with simulation-based modelling to evaluate empirical scaling relationships and the statistical behaviour of ratio-based normalization. Across all age and sex groups, correlations between HW, BW, and TL were …

Bicuspid Valve Closure And Backflow Prevention: Role Of Leaflet Geometry, Badr Kauoi, A Bou Orm, P Navet, James W. Baish, Lance Munn

Faculty Journal Articles

Bicuspid valves with crescent-shaped leaflets are found in lymphatic vessels and veins, where their primary function is to prevent reflux and ensure unidirectional flow toward the heart. These valves are passive, and their functionality emerges spontaneously from a complex interplay between the properties of the valve leaflets and the flow patterns developing within the vessel sinus region surrounding the valve. The main function of the valves is to limit retrograde flow, or reflux, but the optimal valve structure has not been well characterized. Here we investigate numerically how the length of the leaflets affects the valve efficiency in preventing reflux. …

Path Odd-Covers Of Graphs, Steffen Borgwardt, Calum Buchanan, Eric Culver, Bryce Frederickson, Puck Rombach, Youngho Yoo

Mathematics: Faculty Scholarship

We introduce and study “path odd-covers,” a weakening of Gallai's path decomposition problem and a strengthening of the linear arboricity problem. The path odd-cover number  of a graph G is the minimum cardinality of a collection of paths whose vertex sets are contained in  and whose symmetric difference of edge sets is. We prove an upper bound on  in terms of the maximum degree Δ and the number of odd-degree vertices  of the form . This bound is only a factor of 2 from a rather immediate lower bound of the form . We also investigate some natural relaxations of …

Using Mobile Devices To Support Outdoor Stem Learning In Rural Contexts: An Embedded Mixed-Methods Study, Jayson Seaman, Amanda Bastoni, Andrew D. Coppens, Cindy L. Hartman, Courtney Lachaine, Katelyn Moscouver, Janet Gronneberg

Faculty Publications

Background: Rural youth face barriers to involvement in effective Science, Technology, Engineering, and Math (STEM) learning experiences, leading to persistent underrepresentation in STEM fields. Purpose: This study examined the feasibility of using mobile devices to engage rural youth in informal STEM learning (ISL) during free-choice, outdoor recreational activities. We assessed outcomes of a 10-month intervention related to STEM interest, identity, and future planning. Method: Fifty-four youth ages 12 to 17 completed monthly STEM challenges delivered via a mobile platform, aligned with connected learning and free-choice learning principles. Surveys measured pre/post changes in STEM supports, STEM confidence, and …

Community-Led Climate Vulnerability Assessment In Alviso, Ca, Addie Chappelle, Grace Falci, Gigi Jones, Alex Crouse

Environmental Studies and Sciences Senior Capstone

Located at the southern end of San Francisco Bay, Alviso is a historically underrepresented community facing disproportionate impacts of climate change. San José has directly contributed to Alviso’s infrastructure instability, particularly after its controversial 1967 annexation, which excluded Alviso residents from municipal planning processes. Alviso currently ranks in the upper quartile statewide for environmental burden with high exposure to hazardous waste, linguistic isolation, impaired waterways, and solid waste facilities. Our study produced a Community-Led Climate Vulnerability Assessment that centers resident knowledge and integrates it with environmental data to support equitable climate planning. We used a participatory, co-production research approach that …

Remote Language Assessment In School-Age Children With Phelan–Mcdermid Syndrome And Genotype–Phenotype Correlation, Sarah Quadri-Valverde, Jessica Klusek Ph.D., Ccc-Slp, Linda D. Ward, Diana Ivankovic, Nancy Powers, Vijay Shankar, Rachel A. Lyman, Trudy F.C. Mackay, William Bridges, Katy Phelan, Chris Rogers, Luigi Boccuto, Sara M. Sarasua

Faculty Publications

People with Phelan–McDermid syndrome (PMS) have reduced speech and language abilities, yet little research has profiled the communication abilities in this population. The purpose of this study was threefold: identifying the language and communication profiles of school-aged children with PMS, identifying genetic contributions to language and communication abilities, and determining the feasibility of remote data collection for research purposes. A speech language pathologist used standardized assessments and direct evaluations by video conferencing to evaluate language and communication abilities. Sixteen children and adolescents were evaluated: 5 with SHANK3 pathogenic variants, 9 with 22q13 deletions including SHANK3 (PMS-SHANK3 related), and 2 …

Tusqh: Topological Control Of Volume-Fraction Meshes Near Small Features And Dirty Geometry, Brian Reese Shawcroft

Theses and Dissertations

This work develops a framework to create meshes with user-specified homology from potentially dirty geometry by coupling background grids, persistent homology, and a generalization of volume fractions. For a mesh with fixed grid size, the topology of the output mesh changes predictably and monotonically as its volume-fraction threshold decreases. Topological anti-aliasing methods are introduced to resolve pinch points and disconnected regions that are artifacts of user choice of grid size and orientation, making the output meshes suitable for downstream processes including analysis. The methodology is demonstrated on geographical, mechanical, and graphics models in two-dimensions (2D) and three-dimensions (3D) using a …

Re: Comment Letter For The 2020 Through 2024 Surface Water Compliance Evaluation Technical Memorandums Silver Bow Creek Area Npl Site, Butte Priority Soils Operable Unit (Bpsou) Consent Decree-Civil Action No. Cv89-039-Bu-She (Dated February 3, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

System-Level Drivers For The Adoption Of Evidence-Based Practices In Schools, Marijne Medhurst, Jen Jackson, Pru Mitchell, Romany Manuell

School and system improvement

This report outlines strategies that education system leaders can use to support the adoption of evidence-based teaching practices within schools, recognising the importance of teaching quality to lift student outcomes. It is based on an adapted systematic review of available evidence conducted by the Australian Council for Educational Research (ACER) for and in collaboration with the Australian Education Research Organisation (AERO). The report begins by identifying considerations or approaches that system leaders can apply to selecting strategies to support schools, to ensure that they are culturally reflexive, aware of contextual enablers and barriers, and aligned with the approaches evident in …

Re: Conditional Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 3 2025 (Dated December 23, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Decision-Making Tool For Onshore Vs. Offshore Hydrogen Production From Offshore Wind, Jessica Guichard, Robert Rawlinson-Smith, Danny Coles, Deborah Greaves

School of Engineering, Computing and Mathematics

This paper presents optimisation studies for the combination of high efficiency reversible solid oxide cells (rSOC) with offshore wind farms in the Celtic Sea. Reversible systems can be used both in electrolyser and fuel cell mode, allowing potential benefits from switching between modes depending on the instantaneous condition of the electricity and hydrogen markets. The purpose of these studies is to determine the most cost-efficient method to combine rSOC with offshore wind whilst matching electricity supply with demand. For this, a model in Python for Power System Analysis (PyPSA) is set up which optimizes production, storage and transport infrastructure for …

Riverbank Erosion In The Ganges Reach Of Bangladesh: Influence Of Geotechnical Factors And Seasonal Water Level Fluctuations, Sumiaya Amin Preota, Md. Mostafizur Rahman, Fazle Rabbi Joy, Md. Bodruddoza Mia, Farhad Hossain, Shariful Islam, Saba Karim

School of Earth, Environmental, & Marine Sciences Faculty Publications

This study aims to characterize the erosional behaviour of the Ganges riverbanks by investigating the geotechnical properties and seasonal hydrological fluctuation in Bangladesh. Multi-temporal satellite images (1973–2020) were analysed using Geographic Information System (GIS) to select study locations for detailed analysis. The GIS-based analysis identified erosion-accretion patterns and highlighted erosion-prone and stable riverbank locations. Further, field investigation, geotechnical laboratory analyses, and slope stability model using SLIDE software were used to assess the targeted study factors from the selected locations. Field investigation and geotechnical assessments revealed that bank material cohesion and composition strongly influence erosion. River flow at the outer bends …

Institutional And Ideational Features Of Canadian-Us Fishery Management Networks: Connectivity, Coherence, And Collaboration, Owen Temby, Evelyn Roozee, Dongkyu Kim, Jasper R. De Vries, Derek A. Katznelson, Antonia Sohns, Gordon M. Hickey

School of Earth, Environmental, & Marine Sciences Faculty Publications

This article examines fishery management along and across the Canadian-US border through the comparison of collaborative transboundary networks in four regions: the Salish Sea, the Great Lakes, the Gulf of Maine, and the northern region including the Gulf of Alaska and the Hecate Strait. Transnational fishery management is an inter-organizational and multi-jurisdictional enterprise constituted by shared understandings of a suite of tasks and by communications among the participants. We use survey data to summarize the inter-organizational scale and participation in the networks, the centrality of different organization types, the factors that contribute to network formation, other ideational network traits like …

Assessing Misidentification Potential When Using Percent Developmental Delay As An Early Intervention Eligibility Criterion, Allison Gladfelter, Sarah Thomas, Christine Nguyen, Sarah O'Connor

CISLL Publications

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