Digital Commons Network^™

A Precise Damage Assessment Method For Lethal Blast Warheads Against Quadruped Robots, Xueqian Wang, Jianbing Men, Xin Zhou, Shuyou Wang, Mei Li

Journal of System Simulation

Abstract: To accurately evaluate the damage efficiency of a lethal blast warhead on quadruped robots, a typical quadruped robot replication model and vulnerability damage tree were constructed through Autodesk Inventor. The power field calculation model of a lethal blast warhead was introduced. Based on the high-precision collision detection and graphic rendering technology of UE, this paper carried out the intersection detection of destructive elements and targets and realistic scene visualization. A visualization system for damage assessment of quadruped robots by a lethal blast warhead was developed, featuring capabilities such as parametric modeling of the lethal blast warhead, power field evolution …

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 …

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 …

How The Irs Is Trying To Encourage Taxpayer Buy-In Post-Appeal Mediation, Lingxi Qu

Cardozo Journal of Conflict Resolution (CJCR) Blog

With the 2025 tax return season underway, taxpayers may have dispute resolution options if tax-related disagreements with the IRS occur. Before pursuing litigation, taxpayers can pursue several dispute-resolution options provided by the IRS, including fast track (“FTS”), early referral, and post-appeals mediation. Choosing an appropriate program depends on the status of the disputes and who is currently managing your case. When taxpayers have ordinary unsuccessful appeals negotiations, they can file a request to the IRS Independent Office of Appeals for a non-binding mediation.  This will allow a neutral third-party to facilitate conversations between parties without experiencing costly and exhaustive litigation, …

Can Mayor Mamdani Freeze The Rent? It’S Complicated, Nestor Davidson, David J. Reiss

Cornell Law Faculty Publications

In Can Mayor Mamdani Freeze the Rent? It’s Complicated, former New York City Rent Guidelines Board (RGB) chairs Nestor Davidson and David Reiss examine the legal and policy realities behind Mayor Zohran Mamdani’s campaign promise to freeze rents for the city’s approximately one million rent-stabilized apartments. The authors explain that, although the mayor appoints members of the RGB, state law grants the board—not the mayor—the authority to set annual rent adjustments using statutory criteria and economic data. They argue that the RGB must independently evaluate evidence concerning tenant affordability, landlord operating costs, and the overall health of the city’s …

Role Of Plants And Phytochemicals In Promoting Proliferation And Osteogenic Differentiation Of Dental Mesenchymal Stem Cells: A Comprehensive Review, Hala El-Zahar, Essam Abdel-Sattar, Marwa Yousry Moustafa Issa, Shereen N. Raafat, Noha Swilam

Dentistry

Abstract Objectives Dental mesenchymal stem cells (MSCs) represent a promising source for regenerative medicine due to their accessibility and capacity to differentiate into osteoblasts and other lineages. Osteogenic differentiation of dental MSCs is essential for bone formation and is regulated by multiple signaling pathways, cytokines, growth fac‑ tors, and transcription factors. This review aims to summarize the effects of plant-derived extracts and phytochemicals on the proliferation and osteogenic differentiation of dental MSCs. Methods In this review, an extensive literature search was conducted covering studies from the past 10 years, using different online databases (SCOPUS, Google Scholar, PubMed, Web of Science, …

Exploring Identity Development Of Therapeutic Boarding School Alumni, Travis Philipsen

Walden Dissertations and Doctoral Studies

Research on therapeutic boarding schools (TBS) has largely focused on treatment experiences and immediate adolescent outcomes, with limited attention to identity development after program discharge. The purpose of this qualitative descriptive study was to examine identity development during emerging adulthood in TBS alumni aged 18-24 and to explore how internal strengths and external supports influenced participants’ developmental experiences after leaving TBS. Positive youth development was the guiding theoretical framework, emphasizing the bidirectional relationship between a person and the external ecological assets they access. Semistructured interviews were conducted with six alumni, and data were analyzed using reflexive thematic analysis within a …

Review Of 3d Human Reconstruction Methods Empowering Vr/Ar, Lisha Zhang, Yuchi Huo, Qi Ye, Anjun Chen, Shihui Guo, Jiming Chen

Journal of System Simulation

Abstract: 3D human reconstruction is critical for VR/AR. Early methods relied on multi-view cameras and depth sensors but were costly. Mid-term approaches using parametric human models enabled efficient single-image reconstruction, while implicit neural representations improved fidelity yet suffered from low efficiency. Currently, 3D Gaussian Splatting achieves high accuracy and real-time rendering as a new paradigm. Challenges include detail distortion and limited generalization, and future development will focus on VR/AR integration.

Neural Radiance Fields Based On Explicit Feature Matching And Scaled Dot-Product Attention, Mingwei Cao, Fengna Wang, Zilong Wang, Haifeng Zhao

Journal of System Simulation

Abstract: To address the problems that neural radiance fields(NeRF) are prone to artifacts and texture blurring in novel view synthesis under sparse view input and complex scenes, this paper proposed neural radiance fields based on explicit feature matching and scaled dot-product attention(EMD-NeRF). A multiscale feature extraction network was used to extract multi-scale feature information from the input sparse views. A fusion dot-product module was utilized to calculate view interaction information as a shared branch. Cosine similarity was adopted as a matching clue for similarity embedding volume rendering. A regularization loss function was used to enhance the quality of the scene …

Research On Gaussian Splatting Modeling Of Power Equipment In 3d Scenes, Haiying Li, Haonan Xu, Junfang Hao

Journal of System Simulation

Abstract: To address the issues of missing camera poses in captured images and poor reconstruction quality in 3D modeling of power equipment, a 3D Gaussian splatting 3D modeling method for power equipment based on video sequences was proposed. Theffmpeg was adopted to extract video frames at a reduced rate, and the Scharr operator was employed to quantify the sharpness of video frames to screen high-quality images for forming an input dataset, ensuring the completeness of equipment poses and the quality of modeling data. Through multi-view feature point extraction and matching, combined with an incremental structure-from-motion algorithm to optimize and …

Analytical Reentry Guidance Method Based On Lift-To-Drag Ratio-Velocity Profile, Weibo Sun, Ping Ma, Yuxuan Wang, Songyan Wang, Tao Chao

Journal of System Simulation

Abstract: An analytical reentry guidance method based on the lift-to-drag ratio and velocity profile was proposed to address the challenges of precise flight time control and prohibited area avoidance for the hypersonic glide flight vehicle during the reentry phase. A reduced-order reentry motion model was established; the Chebyshev series was used to approximate its nonlinear integral terms and differential equations; analytical expressions for the glide trajectory were yielded. The analytical relationships among flight time, remaining range, and the lift-to-drag ratio and velocity profile were derived. The optimization problem of lift-to-drag ratio and velocity profile was converted into a segmented parameter …

Research And Analysis Of Algorithm For Detecting Surface Defects On Automotive Wheel Hubs Based On Ccl-Yolov8, Yanjun Chen, Min Zhou, Meng Zha, Meizhou Zhang

Journal of System Simulation

Abstract: To address the challenges such as low detection efficiency, difficulties in identifying small defects, and poor accuracy in detecting surface defects on automotive wheel hubs, a lightweight neural network called CCL-YOLOv8 was proposed based on an improved YOLOv8n architecture. A synergistic improvement in both detection accuracy and efficiency was achieved through a three-stage model optimization strategy. A convolutional attention fusion module was introduced, which integrated convolution operations with self-attention mechanisms, thereby enhancing the model's ability to capture local features of small defects while perceiving global context under low signal-to-noise ratio conditions.A C2f-Star module was constructed to reduce computational overhead …

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 …

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 …

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 …

Simulation And Multi-Perspective Recognition Algorithm For Typical Trajectory Shapes, Xuejian Feng, Han Ding, Yiqi Tong, Chaoying Huo, Yanjin Zhang

Journal of System Simulation

Abstract: Current trajectory simulation methods inadequately address geometric shape features and kinematic properties of the target trajectory. To bridge this gap, a target trajectory shape simulation algorithm based on kinematic laws was proposed. The polar coordinate equations and curvature equations of multiple trajectories were integrated. The aircraft state parameters were solved by combining kinematic equations. Angular Gaussian noise was introduced to enhance trajectory diversity and authenticity. Additionally, a multi-perspective trajectory shape recognition algorithm was designed, which could effectively integrate image and sequential multi-modal features by adopting a multilayer perceptron, enabling precise trajectory shape recognition. Experimental results demonstrate that the proposed …

Research On Performance Evaluation Of P300 Brain-Computer Interface Under Environment Modeling And Simulation, Xiaofei Ge, Jinling Lian, Jin Han, Xin'an Fan, Danmei Luo, Yuxiang Hua, Hao Liu, Lijian Zhang

Journal of System Simulation

Abstract: In the process of brain-computer interface(BCI) technology stepping from laboratory to practical application scenarios, it is difficult to make an accurate prediction and evaluation of the effect of real environment factors on the system performance. Therefore, a research method based on a multifactor simulation experiment was proposed. A controllable simulation experiment environment was constructed, and the parametric modeling of two key physical environmental factors, namely noise and light, was carried out. By taking the number of electroencephalogram channels as the system parameter, this paper systematically studied the influence mechanism of the aforementioned factors on the decoding performance of P300-BCI. …

Design And Application Of Bds Visual Simulation Teaching Platform Based On Cesium, Liguo Lu, Yulin Cai, Tangting Wu, Canhui Lin

Journal of System Simulation

Abstract: The deep development of the BeiDou navigation satellite system(BDS) cannot be separated from the support of corresponding talent education, especially the development of new digital resources and tools. A visual simulation teaching platform for BDS was designed based on open source Cesium engine library to address issues such as the large and complex size of the BDS project, the unreachable space environment, and the difficult understanding of principles and concepts. The platform adopted a B/S architecture to achieve visual simulation of course content such as orbit cognition, orbit calculation, constellation simulation, service performance, and satellite links. Teaching applications have …

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 …

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 …

The Bg News March 18, 2026, Bowling Green State University

BG News (Student Newspaper)

The BGSU campus student newspaper. March 18, 2026. Volume 105-Issue 21.

Perspective: The Tailgate Medicine Model: A Proposed Integrative Method Of Care Delivery For Rural Populations, Michael P. Mcshane, Jennifer A. Kowalkowski, Kristina Brant, Joel Segel, Ashley Visco, Philip Volpe, Mark Stephens

Faculty and Staff Publications

Background and Aims: Social, environmental, economic, and cultural factors—social determinants of health (SDOH)—create structural barriers that limit access to health resources and negatively impact health outcomes, particularly for rural populations. Given the significant impact of SDOH on health and mortality, there is an urgent need to develop rural care delivery models that consider community‐specific SDOH that currently drive structural inequities in health for rural populations.

Objective: To propose and describe the Tailgate Medicine Model (TMM), an innovative health care delivery model that, by design, emphasizes assessment and impact of SDOH on health outcomes for rural populations. TMM blends …

Arithmetic Progressions In Euclidean Ramsey Theory, Chi Hoi Yip

Combinatorics Seminar

Euclidean Ramsey theory concerns Ramsey-type problems over Euclidean spaces. In this talk, I will discuss a general framework on how to design algorithms to construct colorings avoiding short monochromatic arithmetic progressions in Euclidean Ramsey theory using some simple geometry and number theory. Joint work with Gabriel Currier and Kenneth Moore.

Examining The Association Between Awareness Of Soil Ecosystem Services And Yard Management In A Highly Urbanized And Tropical Watershed, Luis Kidany Selles, Elvia J. Melendez_Ackerman

Cities and the Environment (CATE)

Residential soil should be viewed as vital elements for sustainable cities. Of concern is that residents can be managing residential green spaces without a clear understanding of soil benefits. We performed 275 surveys in the Rio Piedras Watershed, Puerto Rico to evaluate: (1) the level of residents’ awareness about the contribution of soils to ecosystem services, and (2) the association between yard management practices with household socioeconomics and the level of residents’ awareness regarding residential soil ecosystem services. Results showed that residents were significantly less aware of the importance of soil ecosystem services in their yards compared to that of …

Explaining Variability In Employee Perceptions Of Hr Practices In Strategic Hrm Research: An Integrative Review And Future Outlook, Jeske Van Beurden, Susanne Beijer, Kaifeng Jiang, Karina Van De Voorde, Anthony Nyberg

Faculty Publications

Employee perceptions of human resource (HR) practices have become a central focus in strategic human resource management(HRM) research due to their impact on individual and organizational outcomes. Recent studies highlight the importance of un-derstanding how these perceptions are formed, what they encompass, and why they vary across employees. This special issue ofHuman Resource Management aims to advance this evolving area of research by focusing on variability in employee perceptionsof HR practices. We review the current literature on employee perceptions of HR practices, including (1) theoretical and concep-tual clarity of the employee perceptions of HR practices construct, (2) antecedents of these …

Laughing Doves Use Human Structures In Fragmented Habitats To Improve Breeding Success, Humphrey Tietaah Ankuor, Ziblim Abukari Imoro, Timothy Khan Aikins

Cities and the Environment (CATE)

The effects of urbanisation on our natural environment have led to a significant shift in ecosystem structure and processes, posing threats to many wildlife species. However other species adapts to urban settings exploiting food and nesting opportunities that humans provide. This study identified and mapped Laughing Dove Streptopelia senegalensis nests in human structures and trees within in an urban setting. The study characterised the nesting site selection, nest materials choices, and breeding success in human structures and trees. The results show that majority (107 nests, 86%) of the Laughing Dove nests were in human structures with only 14% (16 nests) …

Using Spiderwebs To Capture Airborne Environmental Dna (Edna) To Detect Animal Biodiversity In An Urban Park, Sabriya Ann Seid, Leonardo Gonzalez-Smith, Josephine Campos, Demian A. Willette

Cities and the Environment (CATE)

Environmental DNA (eDNA) is the genetic material shed by organisms in the environment. It has emerged as a powerful resource for assessing biodiversity, particularly in aquatic settings. The application of eDNA methods in terrestrial environments is less developed, with researchers still exploring collection methods of eDNA from the air. One novel approach recently trialed is the use of spiderwebs, a passive, natural material whose sticky silk threads can capture tiny airborne particles, including eDNA. Here, we investigated the use of spiderwebs for airborne eDNA collection as part of a broader survey of biodiversity at the urban Ascot Hills Park in …

Assessment Of Residents’ Knowledge, Attitude And Perception Of Climate Change Issues In Ibadan South West Local Government, Oyo State, Nigeria, Samson Olanrewaju, Samuel Oyeniyi, Sola Atoyebi, Modupeola Okubena, Chinedu Abazu, Emeka Adibe

Cities and the Environment (CATE)

This study examines residents’ knowledge, attitude, and behavioural responses to the impacts of climate change in Ibadan South West Local Government Area, Oyo State, Nigeria. It evaluates residents’ awareness of climate change, analyses their behavioural responses to climate change impact, and identifies household characteristics that influence knowledge, attitude, and perception of climate change in the area. The study utilised a mixed-methods research approach, using such instruments as questionnaire administration and interviews. The study employed a multistage sampling technique where a total of seven (7) Enumeration Areas (EAs) were selected, and 206 questionnaires were administered to residents of the area. These …

On-Resin Diamsar-Conjugated Cd38-Targeted Peptides And Their Inverso And Dimeric-Inverso Analogs For Pet Imaging Of Multiple Myeloma, Amit Kumar Sharma, Rui Tang, Alexander Zheleznyak, Brad Manion, Erin Teubner, Julie L Prior, Tommy Bauer, Michael Riley Dyer, Stephen Lees, Kimberly Kelly, Monica Shokeen

2020-Current year OA Pubs

CD38 is an established biomarker of multiple myeloma (MM), and peptide-based radiopharmaceuticals targeted to this receptor offer a route to molecularly specific imaging. In this work, we identified a novel CD38-targeted peptide sequence (HAPWFRGGGGS) through phage display and synthesized it using automated solid-phase peptide synthesis. The peptide was modified by introducing a PEG

Eliminating The Fix In Vertical Merger Enforcement, Jessica Breznick

Duke Law Journal

As antitrust enforcers have increased their efforts to block vertical mergers, courts have been forced to grapple with the challenges of predicting the anticompetitive effects of vertical integration, as required by Section 7 of the Clayton Act. Merging parties have complicated this task by “litigating the fix”—proffering evidence that they have designed measures to prevent anticompetitive outcomes outside the consent decree process. Because the anticompetitive problems of vertical mergers do not lend themselves to structural relief, vertically-merging parties have instead proposed fixes aimed at constraining the parties’ post-merger conduct. Such conduct fixes come in the form of contractual agreements with …