Digital Commons Network^™

Kenyon Collegian - March 19, 2026

The Kenyon Collegian

No abstract provided.

Deadmap: Open Yet Locked—Key-Controlled Dataset Protection With Feature-Level Collisions, Ting Yang, Mahabubur Rahman Miraj, Xinyu Lei, Nankun Mu, Hongyu Huang

Michigan Tech Publications

The performance of deep learning models relies heavily on high-quality datasets. However, under the prevailing paradigm of pretrained-model–based applications, once a dataset is publicly released, data owners largely lose control over how it is used for model training. Existing data protection approaches either focus on post hoc accountability or irreversibly destroy the training utility of the data through perturbations, making it difficult to simultaneously satisfy the dual requirements of offline public sharing, authorized and controllable usage. In this paper, we propose DeadMap, a reversible training usability control framework designed for model fine-tuning scenarios. DeadMap introduces a secret label permutation combined …

Graph-Based And Uncertainty-Aware Machine Learning For Academic Performance Prediction, Anca Olivia Muresan

Electronic Theses and Dissertations 2020 - Present

Early identification of students at risk of academic failure is essential for timely pedagogical interventions and reducing dropout rates. While Artificial Intelligence (AI) has significantly advanced predictive modeling in education, two primary challenges persist: effectively modeling the complex, evolving relationships within heterogeneous educational data, and ensuring the reliability of model outputs for high-stakes decision-making. This dissertation addresses these challenges by proposing a comprehensive framework for early and continuous student performance prediction applied to the Open University Learning Analytics (OULA) dataset. First, we introduce a Heterogeneous Graph Neural Network (HGNN) approach that utilizes metapath structures to capture latent interactions between diverse …

Forbidden Induced Restrictions And Unavoidable Minors In Matroids, Matthew P. Mizell

LSU Doctoral Dissertations

Targets are matroids that arise from a nested sequence of flats in a projective geometry. This class of matroids was introduced by Nelson and Nomoto, who found the forbidden induced restrictions for binary targets. In this dissertation, their result is generalized to targets arising from projective geometries over $GF(q)$. In addition, targets arising from nested sequences of affine flats are introduced and the forbidden induced restrictions for these affine targets are determined.

In 1963, Halin and Jung proved that every simple graph with minimum degree at least four has $K_5$ or $K_{2,2,2}$ as a minor. Mills and Turner proved an …

Documenting For Success: A Case Study Of A Graduate Writing Retreat, Elliott Rose, Denise Wetzel, Sara C. Kern, Katie O'Hara-Krebs, Laurin Davis, Salah Seoudi, Carmen Cole

Transforming Libraries for Graduate Students

Graduate students often find themselves balancing the demands of research and writing while managing complex academic and personal needs. Writing retreats provide an intentional space for graduate students to focus on their academic goals while supporting community-building, institutional belonging, and a welcoming environment. This proposal outlines a model for academic librarians and staff to plan and implement an effective graduate writing retreat designed to support graduate student academic activities through intentional collaboration and documentation.

Penn State University’s (PSU) Graduate Student Writing Retreat started as an event housed within the University Library’s Science, Technology, Engineering, and Math (STEM) department. The retreat …

The Musicale Newspaper: Volume 3, Number 9

Arthur Saft Family Papers

Volume 3, Number 3 of The Musicale Newspaper on December of 1917. Helen Saft is mentioned in one of the newspaper reports.

Orthogonal Memory Projection For Alignment In Stateful Generative Models, Neel Mohbe

Defensive Publications Series

A system and method is needed to mitigate potential alignment erosion in stateful generative models where continuous learning could alter pre-trained safety priors. The technology can introduce a parallel control architecture that may operate alongside a host model to help decouple learning capabilities from alignment constraints. The system can, for example, employ a dual intervention using a runtime residual correction interface to steer immediate output away from undesirable content, and an orthogonal memory projection interface to sanitize signals before they can be written to the model's persistent memory. By mathematically projecting undesirable components out of the memory-write signals, the system …

The Impact Of Chatgpt On Reducing Anxiety And Enhancing Mathematical Performance, Reese Gabrielle P. Dimaunahan, Jenny Kinesthesia M. Tiu, Maryvic Irene B. Sumalbag, Emmielyn Q. Bardiano

DLSU Senior High School Research Congress Conference Proceedings

Recent advancements in technology have paved the way for the integration of artificial intelligence in education, with tools such as ChatGPT supporting learners across grade levels and disciplines, including mathematics. While numerous existing studies have investigated the potential of ChatGPT in enhancing students’ performance in mathematics, there is still much to explore regarding its possible impact on reducing one of the key factors hindering student success in math: math anxiety. This study examined the impact of using ChatGPT in addressing math anxiety and improving the performance of Grade 11 non-STEM students enrolled at De La Salle University Senior High School. …

What’S Critical In Critical Media Literacy? Barriers And Good Practices In Adult Education, Stefanie Mayer, Stefanie Fridrik, Josef Mühlbauer, Brigitte Temel, Viktoria Eberhardt

Journal of Media Literacy Education Pre-Prints

While there is broad consensus regarding the social and educational need for CML, its actual didactic content and especially the meaning of ‘critical’ are far from clear. The article argues for a turn to educational practices. Findings are based on empirical research on adult education in Vienna (Austria) consisting mainly of interviews with expert-practitioners in the field of adult education and media and/or digital literacy. We confront academic definitions of the critical impetus of CML with an analysis of innovative projects, which were designed for accessibility and addressed learners facing high educational barriers. Our findings encourage a turn towards the …

Research On Inter-Satellite Topology Design And Simulation Of Giant Leo Constellation Network With Consistent Pattern, Zhicheng Li, Shuaijun Liu, Lixiang Liu

Journal of System Simulation

Abstract: The giant low earth orbit (LEO) constellation network uses inter-satellite links to form an intersatellite topology, realizing the transmission of data between satellites. In order to adapt to the nature of uniform and symmetrical distribution of satellites in the constellation, this paper used a consistent connection pattern between satellites to construct an inter-satellite topology, and by analyzing the arrangement of non-mirror links in the constellation, it was found that the connection method of each link of the satellite itself could be independent of each other, which reduced the simulation complexity and the solution space of the inter-satellite topology. …

Design And Verification Of Manned-Unmanned Collaborative Combat Capability System Based On Mbse, Fangbo Wang, Jian Guo, Chenglie Du, Yifan Liu, Pengpeng Zhang

Journal of System Simulation

Abstract: The traditional model-based systems engineering (MBSE) method has problems of failing to fully exhibit complex combat logics in manned-unmanned collaborative combat system modeling, neglecting the scenario constraints in interface modeling, and requiring long-term and costly algorithm verification. In order to solve the problems, a methodology and design tool based on MBSE was proposed. An integrated verification method of a system's operational logic, interface design, and algorithmic design was constructed, thus providing a digital and rapidly iterative verification approach for system simulation. A verification environment for multiple key algorithm simulations was established, effectively reducing the economic cost of building verification …

Department Chair: Perceived Training Needs, Holly M. Clifford

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Holly M. Clifford on March 18, 2026.

Species Identification Using Otolith Morphometry Of Four Gurnards (Family: Triglidae) From  Edremit Bay (Aegean Sea), Ahmet Mert Şenbahar, Di̇lek İlhan, Aydin Ünlüoğlu, Sencer Akalin

Turkish Journal of Zoology

Shape and size analyses of otoliths are widely considered appropriate tools for distinguishing between fish species and for assessing populations and stocks.  The present study aims to distinguish four gurnard species collected from Edremit  Bay (Aegean Sea) based on variations in their otolith shape morphology. A total of 60  specimens of Eutrigla gurnardus, 64 of Chelidonichthys lastoviza, 60 of  Chelidonichthys lucerna, and 60 of Lepidotrigla cavillone were analyzed. No  significant intraspecific differences were noted in the morphology of the left and right  otoliths, and so only the left sagittal otoliths were subjected to further analysis. Otolith  shape was quantified using …

Commonwealth Times 2026-03-18

Commonwealth Times, 1969-

No abstract provided.

Thermal Inequities In Public Parks And Open Spaces In Los Angeles Determined By Remote Sensing, Ashley Agatep, Joshua B. Fisher, Kainani Tacazon, Ambar Rivera, Rossmery Zayas, Reginald Archer, Juan Carlos Ruiz Malagon, Jason A. Douglas

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Urban heat island (UHI) effects are amplified by disparities in community-level cooling infrastructure—such as urban public parks and open spaces (PPOS)—with the most severe impacts occurring in communities that lack sufficient city-wide cooling resources. We found that the underserved community of South Los Angeles, as compared to their neighboring West Los Angeles counterparts, suffers a double burden of inequitable (1) access to and (2) absence of cooling materials and surfaces within these spaces, resulting in significantly hotter temperatures. Identifying these inequities requires high-resolution temporal and spatial mapping of surface temperatures, which has been previously limited. In this community-based participatory research …

The Anthropology Of Life: An Interview With Perig Pitrou, Perig Pitrou, Tomas De Oliveira, Maddalena Canna

Transatlantic Forum

This interview focuses on the proposal for an "anthropology of life" developed by Perig Pitrou. The conversation traces the origins of this framework to fieldwork with the Mixe of Mexico, where rituals involving the metaperson "He Who Makes Being Alive" revealed a crucial distinction between "the living" (living beings) and "life" (the causes that make them alive). This separation underpins a comparative model examining how societies socialize two fundamental dimensions: the power to generate life and the fragility of individual existences. Methodologically, the approach draws on the anthropology of techniques, employing the concept of "agentive configurations" to analyze how humans …

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 …

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 …

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 …

Invitation To Fractional Calculus, Lyubomir I. Boyadzhiev

Open Educational Resources

These lecture notes are designed to provide the students who wish to become familiar with the basic concepts and methods of the Fractional Calculus (FC). The following features can be pointed out:  This text is prepared to be easily read and understood by students making their first steps into this topic. The lecture notes do not presume a background beyond standard college calculus curricula. Readers needing extra help will find tools for bringing their mathematical maturity up in the references and companion links;  The writing style is aimed to be direct and pragmatic. Precise mathematical language is used without excessive …

The Influence Of Alongside For Educators, An Ai Wellness Tool, On Educator Well-Being, Amanda Grell

Doctorate in Education

Educator well-being has become an urgent concern in K-12 education, as educators continue to experience chronic stress, emotional exhaustion, and high levels of burnout. Despite these challenges, few school-based interventions offer timely, individualized support that addresses educators’ real-time emotional needs. This mixed-methods study examined the influence of the Alongside for Educators application on educator well-being within middle and high school settings. The purpose of this research was to explore how the tool supported educators across the Coping-Competence-Context (3Cs) framework, including experiences with the application, contextual factors shaping engagement, and changes in well-being. Qualitative findings from 10 interviews revealed that educators …

Key Problems Of Intent Recognition Research: A Survey On Activity, Plan And Goal Recognition, Yi Zhang, Kai Xu, Shuilin Li, Dejun Chen, Yunxiu Zeng, Yong Peng

Journal of System Simulation

Abstract: With the development of artificial intelligence technology, realizing intent recognition in human-computer interaction has become one of the key challenges. In this paper, the current research status of three fields was systematically sorted out, namely activity recognition, plan recognition, and goal recognition, and the progress from the problem proposal to the current development was analyzed. The main research approaches in each field were reviewed, and a survey of research on activity recognition, a development overview of plan recognition, and a retrospective analysis of hotspots in goal recognition were conducted. This general view of the problem helped to clarify …

Faith-Based School Leaders’ Strategies For Addressing Achievement Gaps Since The Covid-19 Pandemic, Jolene Culver

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study is that faith-based school leaders are challenged to support teachers to address student achievement gaps following the COVID-19 pandemic. Grounded in Bass’s transformational leadership theory, the purpose of this qualitative study was to investigate strategies veteran faith-based school leaders use to support teachers in addressing student achievement gaps in six Ohio districts that had a minimum of 50 students. For this basic qualitative design, semistructured interviews were conducted with one faith-based school leader from each of the six Ohio districts. Thematic coding yielded four themes encompassing the strategies that veteran faith-based school …

Integrating Geometric Priors And Importance Sampling For High-Fidelity Indoor Scene Reconstruction, Tao Yang, Min Shi, Xigang Zhao, Suqin Wang, Qi Wang, Dengming Zhu

Journal of System Simulation

Abstract: Gaussian splatting suffers from geometric distortion during scene reconstruction, particularly in weakly textured indoor scenes. To address this issue, this paper proposes a high-precision indoor scene reconstruction method that integrates geometric priors and importance sampling. The proposed method fully considers the effect of the initialization process on reconstruction quality. An advanced feed-forward model is employed to generate high-quality geometric initialization, thus improving overall reconstruction stability and accuracy. An importance sampling strategy is introduced to mitigate the adverse effects of blurry images. Furthermore, a supervision mechanism based on a geometric prior model is designed to constrain the scene structure, further …

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 …

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 …