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Kill Chain Efficiency Evaluation Model Based On Gray Dematel-Anp, Zejing Zhao, Junliang Shang, Yanpei Qin Sep 2025

Kill Chain Efficiency Evaluation Model Based On Gray Dematel-Anp, Zejing Zhao, Junliang Shang, Yanpei Qin

Journal of System Simulation

Abstract: In modern conflict scenarios, the kill chain is integral to the comprehensive understanding, orchestration, and execution of military operations. Accurately appraising the efficiency of the kill chain is imperative for gaining insights into battle dynamics and strategically distributing military assets. However, traditional assessments of kill chain efficacy have been hampered by fragmented and isolated indicators that frequently overlook the interplay and influence among various segments of the kill chain. To address these limitations, based on the characteristics of each phase of the kill chain and the OODA loop theory, a new set of performance evaluation indices has been proposed. …

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Optimization Method For Multi Agricultural Machinery Collaborative Operation Based On Genetic Algorithm And A* Algorithm, Yiran Yu, Huicheng Lai, Guxue Gao, Guo Zhang, Wangyinan Peng, Longfei Yang, Junhao Huang Sep 2025

Optimization Method For Multi Agricultural Machinery Collaborative Operation Based On Genetic Algorithm And A* Algorithm, Yiran Yu, Huicheng Lai, Guxue Gao, Guo Zhang, Wangyinan Peng, Longfei Yang, Junhao Huang

Journal of System Simulation

Abstract: To address the uneven task distribution among multiple agricultural machines (referred to as farm machinery) and the high time cost due to numerous turning points at intersections, this paper proposes a task planning method that combines a pre-heat multi grouped genetic algorithm (PHMGA) with the turn A* algorithm (tA*). PHMGA allocates tasks to each piece of farm machinery based on the known environment, ensuring balanced workload through a cost objective function that considers travel, operation, and turning distances. It also designs various operators and strategies to search for nearoptimal solutions. The tA* algorithm is used to select paths …

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Research On The Truth, Function And Common Principles Of Simulation, Haohua Xu, Bin Xiao, Yunhao Cui Sep 2025

Research On The Truth, Function And Common Principles Of Simulation, Haohua Xu, Bin Xiao, Yunhao Cui

Journal of System Simulation

Abstract: Simulation applications are becoming increasingly widespread and have a greater impact, while the theoretical foundation of simulation is relatively weak. This article provides a new definition of simulation by analyzing the common activities of simulation, which can include both virtual and real simulation forms; referring to Popper's three worlds theory, this paper discusses the objective authenticity of simulation from a philosophical perspective; From a methodological perspective, this paper elaborates on the methodological characteristics of simulation as an indirect cognitive object, revealing its significance in integrating human-machine intelligence and promoting knowledge evolution. It also discusses the common principles of simulation, …

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A Model Combining Self-Attention And Weight Sharing For Human Activity Recognition, Lun Ma, Yue Yang, Daihe Wang, Guisheng Liao, Xing Li Sep 2025

A Model Combining Self-Attention And Weight Sharing For Human Activity Recognition, Lun Ma, Yue Yang, Daihe Wang, Guisheng Liao, Xing Li

Journal of System Simulation

Abstract: With the prevalence of wearable devices, human activity recognition based on wearable sensor data has garnered significant attention. The central issue in this field is how to extract effective behavioral information from raw sensor data to form corresponding feature vectors. Currently, convolutional neural networks and recurrent neural networks have been widely utilized for feature extraction from multisensory data. However, these networks struggle to globally capture the crucial temporal features inherent of human activity over time. To address this, a multi-CNN-BiLSTM-self attention (Multi-CBSA) model based on self-attention and weight sharing has been proposed, taking into consideration the logical correlations among …

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Wingtip Docking Control Of Composite Aircraft Based On Adrc Theory, Chunlei Xie, Hongxia Hu, Weibo Han Sep 2025

Wingtip Docking Control Of Composite Aircraft Based On Adrc Theory, Chunlei Xie, Hongxia Hu, Weibo Han

Journal of System Simulation

Abstract: The process of wingtip docking in composite aircraft is challenged by significant unsteady vortex aerodynamic disturbances arising from the close-range coupling of wingtips, thereby posing considerable constraints on docking precision and flight safety. This study endeavors to address the intricate task of airborne wingtip docking control amidst wingtip vortex disturbances through a comprehensive investigation of airborne wingtip docking control technology, grounded in the tenets of active disturbance rejection control (ADRC) theory. Initially, a mathematical model encapsulating the dynamics of three-channel attitude/displacement during the docking operation, incorporating both the wingtip docking mechanism and the wingtip vortex model, is established. …

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Solving The Vehicle Routing Problem Based On Deep Reinforcement Learning, Ming Jiang, Tao He Sep 2025

Solving The Vehicle Routing Problem Based On Deep Reinforcement Learning, Ming Jiang, Tao He

Journal of System Simulation

Abstract: The capacitated vehicle routing problem (CVRP) is a well-known combinatorial optimization challenge recognized as NP-hard due to its significant complexity. Building upon existing research, this paper introduces a novel end-to-end deep reinforcement learning approach based on a multi-pointer Transformer to tackle the CVRP. The proposed algorithm employs an invertible residual network in the encoder to encode input features, effectively reducing memory consumption. In the decoder, a multipointer network determines the probability distribution of solutions. To further enhance the performance of CVRP solutions, the algorithm leverages the symmetry in combinatorial optimization by implementing multi-trajectory parallel processing during both training …

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Arbuscular Mycorrhizal Fungi As Key Drivers Of Plant Resilience: Mechanisms Of Stress Adaptation In Saline Environments, Rayna Elizabeth Koberstein Sep 2025

Arbuscular Mycorrhizal Fungi As Key Drivers Of Plant Resilience: Mechanisms Of Stress Adaptation In Saline Environments, Rayna Elizabeth Koberstein

Dissertations and Theses

Arbuscular mycorrhizal fungi (AMF) play a critical role in mediating plant responses to environmental stress, yet their ecological significance in saline wetland restoration remains underexplored. This greenhouse experiment investigated the effects of salinity, root-zone barrier type (solid, mesh, none), and neighboring species identity on AMF colonization and physiological responses in three native estuarine plants: Carex densa, Juncus patens, and Scirpus microcarpus. Results demonstrated species-specific physiological responses to salinity, with Juncus patens showing greater resilience in maintaining photosynthetic efficiency (Fv/Fm) and percent cover at higher salinity levels, while Scirpus microcarpus exhibited a significant decline. Mesh barriers, which permitted …

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Anthem 2.0: Automated Reasoning For Answer Set Programming, Jorge Fandinno, Zachary Hansen, Yuliya Lierler, Christoph Glinzer, Jan Heuer, Torsten Schaub, Tobias Stolzmaan, Vladimire Lifschitz Sep 2025

Anthem 2.0: Automated Reasoning For Answer Set Programming, Jorge Fandinno, Zachary Hansen, Yuliya Lierler, Christoph Glinzer, Jan Heuer, Torsten Schaub, Tobias Stolzmaan, Vladimire Lifschitz

Computer Science Faculty Publications

ANTHEM 2.0 is a tool to aid in the verification of logic programs written in an expressive fragment of CLINGO ’s input language named MINI-GRINGO, which includes arithmetic operations and simple choice rules but not aggregates. It can translate logic programs into formula representations in the logic of here-and-there and analyze properties of logic programs such as tightness. Most importantly, ANTHEM 2.0 can support program verification by invoking first-order theorem provers to confirm that a program adheres to a first-order specification or to establish strong and external equivalence of programs. This paper serves as an overview of the system’s capabilities. …

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Bioresources And Bioproducts: A New Open Access Journal, Ronald C. Sims Sep 2025

Bioresources And Bioproducts: A New Open Access Journal, Ronald C. Sims

Biological Engineering Faculty Publications

Greetings to the bioresource and bioproducts community! I will serve as the Editor-in-Chief to collaborate with you as we promote the aims and scope of this new MDPI journal [1], with the help of its distinguished Editorial Board, by publishing Special Issues, Topics, Topical Collections, and Editorials, and by providing high-impact scholarship through the outstanding published work of each of our contributors.

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Lane Detection In Dark Light Based On Instance Association, Yanji Jiang, Yingyang Zhang, Hao Dong, Xiaoguang Zhang, Meihui Wang Sep 2025

Lane Detection In Dark Light Based On Instance Association, Yanji Jiang, Yingyang Zhang, Hao Dong, Xiaoguang Zhang, Meihui Wang

Journal of System Simulation

Abstract: In current research on lane detection, existing algorithms can efficiently detect lane lines under good lighting conditions. However, lane detection in low light still faces the challenge of a high false negative rate. A detection algorithm called Instance Association Net(IANet) is proposed to address this issue by utilizing the structural relationships between lane lines, which is helpful for low light conditions. The algorithm first generates unique masks for different lane lines using features at the starting points of the lane lines and a global feature map, achieving instance-level feature separation of the lane lines. It employs an instance-level attention …

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Anylogic-Based Platform-Enterprise Collaborative Scheduling Simulation System For Cloud Manufacturing, Linxuan Wang, Yongkui Liu, Lin Zhang, Tingyu Lin, Lihui Wang Sep 2025

Anylogic-Based Platform-Enterprise Collaborative Scheduling Simulation System For Cloud Manufacturing, Linxuan Wang, Yongkui Liu, Lin Zhang, Tingyu Lin, Lihui Wang

Journal of System Simulation

Abstract: Aiming at the lack of research on collaborative scheduling between a cloud manufacturing platform and associated enterprises, as well as the lack of simulation systems to simulate scheduling strategy combinations and to visualize dynamic scheduling processes, a simulation system that supports visualization of cloud manufacturing platform-enterprise collaborative dynamic scheduling processes is designed and developed. System requirements are analyzed in detail, and then a scalable platform-enterprise collaborative scheduling model and system functional architecture based on hierarchical multi-agents is proposed. Combined with a case of supply chain of industrial robots, considering random selection, time optimal strategy in the cloud manufacturing …

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Digital Twin Modeling Method For Bulk Cargo Stacks Based On 2d Lidar, Houjun Lu, Yifei Zhu, Yanping Rong, Wanghui Zhang Sep 2025

Digital Twin Modeling Method For Bulk Cargo Stacks Based On 2d Lidar, Houjun Lu, Yifei Zhu, Yanping Rong, Wanghui Zhang

Journal of System Simulation

Abstract: Due to the characteristics of large equipment, harsh working environment and time-varying shape of the material pile in bulk cargo terminal, there are some disadvantages such as low data accuracy and poor stability when building the storage yard model, which affects the unmanned and intelligent operation control. In this paper, we use two-dimensional laser radar combined with equipment mechanism motion to scan material pile point cloud data, present a digital twin modeling method for bulk storage yard, which includes static scene construction of storage yard and real-time modeling of material pile. Prefabricated models are used for the static scenes …

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Digital Imaging Simulation Of Complex Scene Of Space-Based Space Small Target, Pengfei Li, Wei Xu, Yongjie Piao, Yinghong Fang, Dunpan Shi Sep 2025

Digital Imaging Simulation Of Complex Scene Of Space-Based Space Small Target, Pengfei Li, Wei Xu, Yongjie Piao, Yinghong Fang, Dunpan Shi

Journal of System Simulation

Abstract: In response to the universal demand for space target detection technology research in space image data sources, this study focuses on the problems of insufficient training data for intelligent algorithms and the use of single data for traditional algorithms, with the goal of generating dynamic digital sequence images of small space targets in complex scenes. A visible light digital imaging simulation system based on a space observation platform is designed. A small target imaging model is proposed, which is based on two-dimensional shape feature point description and imaging analysis model to carry out digital modeling and imaging simulation of …

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Control Strategy For Uav Cluster Formation Rendezvous Based On Lde-Maddpg Algorithm, Wei Xiao, Jiabo Gao, Xueliang Ke Sep 2025

Control Strategy For Uav Cluster Formation Rendezvous Based On Lde-Maddpg Algorithm, Wei Xiao, Jiabo Gao, Xueliang Ke

Journal of System Simulation

Abstract: To solve the problem of difficulty in UAV cluster formation rendezvous based on MADDPG algorithm, an autonomous collaborative control strategy based on LDE-MADDPG algorithm is proposed. To address the issues of weak generalization, poor scalability, and slow cluster training process of MADDPG algorithm, LDE-MADDPG algorithm was proposed by designing a state feature learning network and a decoupled Critical network. By integrating LDE-MADDPG algorithm with strategy generation elements such as the decoupled reward function, cluster state space, and UAV action space, a control strategy for UAV cluster formation endezvous that can adapt to diverse formations and varying quantities has been …

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Robot Path Planning Based On Improved A-Ddqn Algorithm, Peilong Ni, Pengjun Mao, Ning Wang, Mengjie Yang Sep 2025

Robot Path Planning Based On Improved A-Ddqn Algorithm, Peilong Ni, Pengjun Mao, Ning Wang, Mengjie Yang

Journal of System Simulation

Abstract: An improved A-DDQN algorithm is proposed to address the challenges of reward sparsity and the inability to distinguish sample importance in traditional DQN algorithms during robot path planning. Building on the original DQN, an enhancement is made by incorporating the Double-DQN approach, which updates the predictive Q-value network based on actions selected by the Q network, rather than directly using the predicted Q-values for action selection, thereby mitigating overestimation issues. Secondly, the concept of artificial potential field (APF) is introduced to design specific rewards for each step of the robot's movement, guiding the robot and addressing the problem of …

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Nigerian Immigrant Mothers’ Parenting Style In Supporting Academic Achievement In Their Children, Ganiyat Olasumbo Saidu Sep 2025

Nigerian Immigrant Mothers’ Parenting Style In Supporting Academic Achievement In Their Children, Ganiyat Olasumbo Saidu

Walden Dissertations and Doctoral Studies

Supporting their children’s academic activities while navigating the socioeconomic norms of the new system continues to be a significant challenge for most immigrant parents in urban areas of the United States. However, there is inadequate literature on the parenting behaviors used by Nigerian immigrant parents to support their children’s academic achievement. The purpose of this qualitative study was to understand how Nigerian immigrant mothers describe the parenting styles that support their children’s academic achievement. The theoretical framework for this study was Bandura’s (1977) social cognitive theory and Baumrind’s (1966) theory of parenting styles. For this basic qualitative study, the population …

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Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications Sep 2025

Spartan Daily, September 18, 2025, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2025

Volume 165, Issue 12

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Ws-Fall: Fall Detection Attention-Based Approach Using Wifi And Inertial Data Modalities, Alaa Elmor, Bilal Arain Sep 2025

Ws-Fall: Fall Detection Attention-Based Approach Using Wifi And Inertial Data Modalities, Alaa Elmor, Bilal Arain

Sustainable Machine Intelligence Journal

According to the World Health Organization, 37 million falls occur every year which leads to sever injuries that require medical intervention. In addition, more than 600,000 people end up dying due to falls making them the second cause of accidental injury fatalities worldwide. Specifically, the elderly are more prone to fatal falls. Therefore, fall detection systems are needed to allow medical professionals to intervene in such cases. Various wearable and non-contact fall detection devices have been developed recently. Since non-contact Wi-Fi-based methods are widely available and non-intrusive, they are gaining popularity. In this paper, we propose a state-of-the-art fall detection …

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Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang Sep 2025

Research On Real-Time Cgf Maneuvering State Generation Method Based On Random Finite Set, Xiaoyan Zhang, Ge Li, Peng Wang

Journal of System Simulation

Abstract: With the rapid development of sensor networks and other technologies, the acquisition of measurement data in the real physical space has become easier. How to utilize the measurement data from the real battlefield space to improve the accuracy and credibility of CGF simulation is the key issue to realize the CGF simulation combining virtual and real. The method is studied of using real measurement data to generate CGF model maneuvering state data in real time, in order to realize the virtual-real synchronization and real-time mapping between the real battlefield and CGF simulation system, and to provide environmental inputs for …

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Benefit Distribution Optimization Model And Simulation For Multi-Mode Operation Of Industrial Software Platforms, Rongyu Guo, Xiaobin Li, Pei Jiang, Chuanjiang Li, Shanhui Liu, Jun Ma Sep 2025

Benefit Distribution Optimization Model And Simulation For Multi-Mode Operation Of Industrial Software Platforms, Rongyu Guo, Xiaobin Li, Pei Jiang, Chuanjiang Li, Shanhui Liu, Jun Ma

Journal of System Simulation

Abstract: Industrial software service platforms, characterized by low-cost investment, customized services, and rapid application deployment, have been widely adopted in small and medium-sized industrial clusters. The benefit distribution mechanism under multi-mode operation is crucial to the sustainable development of such platforms. To address the current challenges of single-operation models and the difficulty in adapting to diverse service scenarios, this study focuses on two core stakeholders that users and software developers to analyze the core service components and cooperation mechanisms of industrial software service platforms in a multi-mode operational environment. By integrating the function point method, a multi-mode user demand quantification …

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Second-Order Cone Optimization Modeling And Simulation For Three-Phase Unbalanced Active Distribution Networks, Yiran Zhao, Yong Xue, Haoxin Tian, Ruixin Zhang, Zhi Zhang, Yanbo Chen Sep 2025

Second-Order Cone Optimization Modeling And Simulation For Three-Phase Unbalanced Active Distribution Networks, Yiran Zhao, Yong Xue, Haoxin Tian, Ruixin Zhang, Zhi Zhang, Yanbo Chen

Journal of System Simulation

Abstract: Guided by the carbon peaking and carbon neutrality goals, and propelled by the development of new type power systems, the significance of distribution networks as key energy infrastructure has been increasingly underscored. Amidst the burgeoning rise of distributed photovoltaics, electric vehicles, and novel energy storage technologies, distribution networks are transitioning from passive entities to active systems capable of bidirectional interaction, heralding the advent of active distribution networks with a critical mission. This research tackles the optimal power flow issue in three-phase unbalanced active distribution networks, incorporating inter-phase coupling relationships. By employing dimensionality lifting and rank relaxation, along with the …

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Station Layout Optimization Method And Simulation For Non-Cooperative Target In Angle Of Arrival Positioning, Yida Ning, Jiongqi Wang, Juhui Wei, Zhenzu Bai, Zhangming He Sep 2025

Station Layout Optimization Method And Simulation For Non-Cooperative Target In Angle Of Arrival Positioning, Yida Ning, Jiongqi Wang, Juhui Wei, Zhenzu Bai, Zhangming He

Journal of System Simulation

Abstract: In the context of angle of arrival (AOA) positioning system for non-cooperative target tracking and positioning, accurately determining true location of the target poses a significant challenge. Conventional station deployment indicators like geometric dilution of precision (GDOP) fail to provide effective guidance for optimization station layout. To address the issue, this study introduces a novel indicator for station optimization and evaluation based on factors that influence positioning accuracy within an angle measurement system. These factors encompass angular differencing, baseline intersection angles, and the observer-target line distance. Moreover, this indicator encompasses the challenges associated with data conformity in "air to …

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Research On Strong Real-Time Synchronisation Algorithm For Lvc Co-Simulation, Junhui Li, Songtao Sun, Fei Liu Sep 2025

Research On Strong Real-Time Synchronisation Algorithm For Lvc Co-Simulation, Junhui Li, Songtao Sun, Fei Liu

Journal of System Simulation

Abstract: Live, virtual, and constructive(LVC) joint simulation has become a hot research topic of current military simulation; however, existing time management strategies usually fail to meet the needs of strict real-time performance of LVC. A LVC joint simulation synchronization algorithm is proposed that starts with a window sliding-based median smoothing strategy and real time drift rate-based clock compensation strategy for effective node synchronization. A novel hybrid timing strategy is introduced combining long and short cycles implemented in software, which balances precision and efficiency. A simulation catch-up strategy is proposed to address software delays, which combined with the highprecision timing strategy, …

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Algorithm Simulation Of Multi-Targets Track Correlation Based On Spectral Feature, Zhenping Ding, Huidong Guo Sep 2025

Algorithm Simulation Of Multi-Targets Track Correlation Based On Spectral Feature, Zhenping Ding, Huidong Guo

Journal of System Simulation

Abstract: In order to solve the problems of multi-targets track correlation in dense scenes, a method of track sequential real-time processing for multi-source track correlation system modeling is proposed. By calculating the absolute and relative position of the spectral features, the unified correlation matrix can be defined based on fuzzy decision theory, and the multi-target track correlation can be realized. Numerical simulations have shown the effectiveness of the track correlation algorithm on the basis of spectral features. Especially, the accuracy of correlation is much larger than that of the nearest-neighbor distance algorithm under the condition of dense target environment …

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A Growing Threat Of Multi-Hazard Cascades Highlighted By The Birch Glacier Collapse And Blatten Landslide In The Swiss Alps, Nazimul Islam, Jonathan L. Carrivick, Tom Coulthard, Matthew Westoby, Stuart Dunning, Saskia Gindraux Sep 2025

A Growing Threat Of Multi-Hazard Cascades Highlighted By The Birch Glacier Collapse And Blatten Landslide In The Swiss Alps, Nazimul Islam, Jonathan L. Carrivick, Tom Coulthard, Matthew Westoby, Stuart Dunning, Saskia Gindraux

School of Geography, Earth and Environmental Sciences

Rapid atmospheric warming, especially at high altitude, leads to alpine mountain landscapes becoming more vulnerable to mass movements and consequently unstable. For example, decay of mountain permafrost contributes to rockfalls, landslides and debris flows; glaciers are retreating and losing mass at alarming rates, exposing unstable slopes that are more likely to fail; and meltwater, which collects in a growing number of glacial lakes, can pose an outburst flood hazard, putting communities and infrastructure downstream at risk of damage. Occurring now with increasing frequency, these natural phenomena often combine to create complex multi-hazard cascades that are more powerful and have a …

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Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal Sep 2025

Ai Test Modeling For Computer Vision System—A Case Study, Jerry Gao, Radhika Agarwal

Faculty Research, Scholarly, and Creative Activity

This paper presents an intelligent AI test modeling framework for computer vision systems, focused on image-based systems. A three-dimensional (3D) model using decision tables enables model-based function testing, automated test data generation, and comprehensive coverage analysis. A case study using the Seek by iNaturalist application demonstrates the framework’s applicability to real-world CV tasks. It effectively identifies species and non-species under varying image conditions such as distance, blur, brightness, and grayscale. This study contributes a structured methodology that advances our academic understanding of model-based CV testing while offering practical tools for improving the robustness and reliability of AI-driven vision applications.

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September 2025 Cafe Newsletter, Elizabeth Reardon Sep 2025

September 2025 Cafe Newsletter, Elizabeth Reardon

CAFE Faculty Newsletters

Center for Advancing Faculty Excellence (CAFE) newsletter Sept. 2025.

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Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan Sep 2025

Socio-Economic Risk Of Rising Compound Precipitation-Wind Extremes In San Francisco Bay Area, Nikhil Kumar, Gregory Brian Pasternack, Yufang Jin, Serena Alexander, Zhihao Wang, Costanza Rampini, Rune Storesund, Chris Lim, Stephanie Moreno, Igor Lacan

Faculty Research, Scholarly, and Creative Activity

Compound precipitation-wind extremes (CPWEs) pose significant socio-economic challenges in urban areas, with the most severe impacts often felt by vulnerable populations. While CPWE studies have often focused on large-scale assessments, localised urban contexts, at a scale of a city and its suburban surroundings, remain understudied, particularly in terms of how CPWEs might differentially impact different socio-economic communities. This study aims to advance understanding of how CPWEs interact with social vulnerability at a localised scale, using the San Francisco Bay Area (SFBA)—a global hotspot for CPWEs with diverse climates, physiography, and socio-economic factors—as a test case. Daily precipitation and wind speed …

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Rat Somatic Genome Editing Enables Er+ Breast Cancer Modeling, Wen Bu, Tobie Lee, Meenakshi Anurag, Yunfeng Ding, Ruixin Xu, Lillian He, Alexandria Z Bu, Chandandeep Nagi, Carolina Gutierrez, Susan Hilsenbeck, Chonghui Cheng, Bing Zhang, Shixia Huang, Jianming Xu, C Kent Osborne, Arun Sreekumar, Eric Chang, Chad J Creighton, Xiang Zhang, Yi Li Sep 2025

Rat Somatic Genome Editing Enables Er+ Breast Cancer Modeling, Wen Bu, Tobie Lee, Meenakshi Anurag, Yunfeng Ding, Ruixin Xu, Lillian He, Alexandria Z Bu, Chandandeep Nagi, Carolina Gutierrez, Susan Hilsenbeck, Chonghui Cheng, Bing Zhang, Shixia Huang, Jianming Xu, C Kent Osborne, Arun Sreekumar, Eric Chang, Chad J Creighton, Xiang Zhang, Yi Li

Faculty, Staff and Students Publications

Genetically engineered mouse models have advanced cancer research but often fail to capture key features of certain human tumors. Rats, with distinct physiology and tumor biology, offer a powerful alternative, yet their use has been constrained by technical barriers to genome editing. Here, we report efficient somatic genome editing in rats, enabling both Indel and substitution mutations. We then apply this approach to model estrogen receptor (ER)-positive breast cancer, which accounts for ~70% of human cases but remains poorly represented in mice. The resulting rat tumors reproduce hallmarks of human ER+ breast cancer, including ductal histology, hormone responsiveness, and immune-microenvironmental …

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September 2025 Academic Affairs Minutes, University Of Nebraska At Kearney Academic Affairs Committee Sep 2025

September 2025 Academic Affairs Minutes, University Of Nebraska At Kearney Academic Affairs Committee

Academic Affairs Committee Minutes

No abstract provided.

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