Digital Commons Network^™

Gram-Scale Chipsat Spacecraft For Light Sailing In Leo, Joshua Umansky-Castro, Matthew Hurford, Corbin Heywood, Grace Tang, Cameron Goddard, Jonathan Ma, Apurva Hanwadikar, Mason Peck, Andrew Filo, Alex Burke

Small Satellite Conference

Cornell University’s Alpha mission is a 1U CubeSat that deploys a retroreflective free-flying light sail in LEO. Mounted to the sail, and serving as its flight computers, are four ChipSats –gram-scale spacecraft assembled onto a single palm-sized PCB. These satellites collect and downlink data on the sail’s orbital position and attitude kinematics, communicating directly with low-cost ground stations around the globe. This paper introduces the ChipSat developed specifically for the Alpha mission launching in 2025. The new femto-satellite builds on previous-generation designs with a significant revamp of the RF communications. This paper provides an overview of the as-flown ChipSat design …

Telemetry Handling & Extensible Satellite Environment For A Unified System (Theseus) For The Operation Of Onglaisat, Shunsuke Shimomura, Kuna Shitara, Yuki Kusano, Yojiro Yamashiro, Tomoki Mochizuki, Shunichiro Nomura, Takeshi Matsumoto, Akihiro Ishikawa, Yosuke Kawabata, Satoshi Ikari, Ryu Funase, Shinichi Nakasuka

Small Satellite Conference

The recent increase in small satellites and diverse satellite missions has heightened the need for flexible and highly reliable ground station software. However, most existing open-source ground station software is implemented with the entire system in mind, making it difficult to accommodate diverse missions. Even when accommodating diverse missions, it is necessary to edit configuration files with a wide range of descriptions or make internal service modifications. Furthermore, as the number of available ground station services increases, there is an urgent need for systems that can support a wider range of interfaces. In addition, modern satellite development requires flexible support …

Csa-Xai: Channel–Spatial Attention And Explainable Ai In A Modular Multi-Backbone Framework For Lung Cancer Classification, Omar Ibrahim Obaid, Abdulbasit Alazzawi

Iraqi Journal for Computer Science and Mathematics

Computed tomography (CT) scans require precise and early lung cancer detection to produce better clinical results. High accuracy in deep learning approaches (DL) poses an existing challenge to interpret their functionality effectively. This research presents an innovative modular multi-backbone structure that combines channel-spatial attention together with explainable AI (XAI) methods for three-class lung cancer diagnosis (Normal, Benign, and Malignant). Research was carried out to evaluate six pre-trained CNN backbones (ResNet-50, VGG19, Inception-V3, EfficientNet-B0, MobileNet-V2, DenseNet-121) which received hybrid attention enhancement on the IQ-OTH/NCCD dataset. The experimental data showed four pre-trained models reaching perfect accuracy at 100 percent whereas the others …

Class Weighting In Imbalanced Data For Leukocyte Classification Using Fine-Tuning Inception-V3, Wahyudi Setiawan, Meidya Koeshardianto, Eka Mala Sari Rochman, Aeri Rachmad, Tutut Herawan

Iraqi Journal for Computer Science and Mathematics

This study investigates the classification of leukocyte images in an imbalanced dataset using deep learning techniques. The dataset consists of 14,514 images, categorized into five leukocyte types: basophils (301), neutrophils (8,891), lymphocytes (3,461), monocytes (795), and eosinophils (1,066). To address class imbalance, we applied class weighting alongside transfer learning and fine-tuning using the Inception-v3 architecture. The dataset was split into 80% for training and 20% for testing, and 5-fold cross-validation was conducted to evaluate model robustness. Hyperparameters were set with a learning rate of 0.0001, batch size of 32, and 30 training epochs, optimized using the Adam optimizer. Fine-tuning was …

Symmetric Toeplitz Matrices For A Class Of New Subclass Functions And Bazilevič Functions, Nihad H. Shehab, Abdul Rahman S. Juma

Iraqi Journal for Computer Science and Mathematics

In this work, we describe and investigate a novel collection of analytic functions, including the new functions and the Bazilevič functions. An important component of analytic functions, Bazilevič functions have numerous uses in both pure and practical mathematics. For this class of functions, we concentrate on building Toeplitz matrices, examining their structural characteristics, and evaluating their eigenvalues and trends. We utilise these studies to draw sophisticated mathematical conclusions on the stability and convergence characteristics of Bazilevič functions, as well as possible uses in geometry and differential equations. This work aims to determine coefficient estimates for the functions in this family …

Classify Cancers Types Using Mirnas Profiles And Machine Learning, Wafaa Khazaal Shams

AUIQ Technical Engineering Science

Cancer classification is important for early diagnosis and effective treatment. This study proposes a hybrid framework that combines Fisher Discriminant analysis (FD) with Linear Support Vector Machine (LSVM) and Long Short-Term Memory (LSTM) networks. MicroRNAs (miRNAs) expression profiles for three types of cancer are used to evaluate the model. These are: lung- adenocarcinoma, ovary and pancreas cancers. The classification process is done using 5-fold cross valuation. Results show significant performance for LSTM compared to LSVM with and without features reduction. However, using FD analysis results in high accuracy reached 0.97and 0.96 for LSTM and LSVM respectively, using 50 miRNAs. The …

Architectural Optimization Of Façade Design Using Nano-Ceramic Films For Green Buildings In Baghdad’S Hot Climate, Lina M. Shaker, Wan Nor Roslam Wan Isahak, Ahmed Salih Mahdi

AUIQ Technical Engineering Science

This study aims to optimize the architectural integration and energy performance of nano-ceramic window films in a three-story Baghdad commercial building having an overall area of 2,000 m². In a 40% window-to-wall ratio (WWR) and climate-responsive orientation, films were selected for solar exposure; north façade overhanging high-transmittance movies, east and west vertical fins on medium-transmittance movies, and south horizontal louvers on low-transmittance movies. Architectural strategies for daylighting, comfort, and façade appearance with low solar heat gain (SHG) were considered. MATLAB 2022 simulations evaluated energy savings, daylight transmission, and solar rejection. The most effective film (either film, HD-IR05100) achieved …

Framework For Governed Orchestration And Adaptive Lifecycle Management Of Hierarchical Artificial Intelligence Agents, Mithun Kumar S R

Defensive Publications Series

This document describes a framework for governing and managing hierarchical artificial intelligence (AI) agent systems. The framework addresses various limitations of current approaches, such as static architectures, naive delegation, high operational costs, lack of auditability, security vulnerabilities, and poor conflict handling. The framework includes a primary orchestrator node (PON) for task decomposition, a delegation and provisioning engine (DAPE) for agent selection and provisioning, specialized execution agents (SEAs) for task execution in secure sandboxes, a shared context manifold (SCM) for collaboration, a synthesis and reconciliation module (SRM) for output assembly, a causal traceability ledger for auditability, and a performance-driven optimization loop …

Building Better Cities With Artificial Intelligence: A Path To Sustainability And Livability, Mona Mahrous Abdel Wahed

Emirates Journal for Engineering Research

The rapid acceleration of urbanization has amplified the multifaceted challenges confronting cities in attaining sustainability and ensuring livability. Artificial Intelligence technologies stand out as transformative tools with the potential to revolutionize urban development through finding innovative solutions to urban challenges. By leveraging AI, cities can optimize resource allocation, enhance decision-making processes, and create urban environments that are both livable and environmentally sustainable. Achieving this transformation requires visionary policymakers, meticulous planning, and a commitment to ethical AI deployment. Through AI's data-driven insights, urban planners can make informed decisions that align with the complex and dynamic needs of urban areas. This research …

Cybersecurity: Digital Stewardship In A Violent World, Rocky K. C. Chang

University Faculty Publications and Creative Works

This paper defines cybersecurity based on the principle of biblical stewardship. The focus of this principle is God, not the technologies, who is the creator and owner of cyberspace and everything in it. Humankind is called by God to steward them by protecting the digital property of our neighbors in cyberspace from malicious attacks. In the context of cybersecurity, a neighbor can be any individual cyber user, practitioner, educator, organization, tech company, or even hacker. However, as argued from the perspectives of human sin and human finitude, the defending stewards can never win over evil in this spiritual battle. Instead, …

Using Large Language Models For Enhanced Fraud Analysis And Detection In Blockchain Based Health Insurance Claims, Ruba Islayem, Senay Gebreab, Walaa Alkhader, Ahmad Musamih, Khaled Salah, Raja Jayaraman, Muhammad Khurram Khan

Industrial Engineering: Faculty & Staff Publications

Traditional health insurance claim processing systems are plagued by inefficiencies and vulnerabilities, often resulting in significant financial losses due to fraudulent activities. Existing fraud detection methods are largely manual, time-consuming, and inadequate for handling the complexity and scale of modern fraudulent schemes. Moreover, the trust-based relationships between insurers and healthcare providers lack mechanisms to ensure data integrity and prevent manipulation. While several blockchain-based systems have been proposed to improve transparency and tamper resistance, they typically focus on structured data and predefined fraud types, offering limited adaptability and analytical insight. This paper proposes a novel solution leveraging blockchain technology and Large …

Illinois Model Programs Of Study Guide: Agriculture, Food, And Natural Resources, Education Systems Center

Reports, Analyses, and other Publications

First published in August 2021. Significantly revised in September 2024 to incorporate updated labor market information. An update in April 2025 included minor corrections. In August 2025, two new sections were added: key terminology and the relationship between concepts.

Effects Of Light Wavelength On Broiler Performance, Blood Cell Profiles, Stress Levels, And Tibiotarsi Morphology, Angela Perretti, Victor J. Oyeniran, Jaelen M. Cherry, Rosemarry H. Whittle, Zachary Grider, Alexander H. Nelson, Seong W. Kang, Gisela F. Erf, Shawna L. Wiemer

Poultry Science Faculty Publications and Presentations

Lighting influences broiler production, health, and behavior. The objective of this study was to examine the effects of three light wavelengths (White [350-780 nm], Blue [450 nm], and Green [560 nm]) on broiler production, activity, fear, stress, blood cell profiles, and tibiotarsi (tibia) morphology. Day-of-hatch male broiler chicks (N = 600) were housed in pens (N = 12) with one lighting treatment for 42 days. Body weight and feed consumption were recorded on day (D) 0, 14, 28, and 42, and the feed conversion ratio was calculated. The Tonic Immobility test was used to assess the latency (seconds) to right …

Intersystem Crossing Outcompetes Triplet-Pair Separation From1(Tt) Below 270 K In Anthradithiophene Films, Eman M. Bu Ali, Arnau Bertran, Gabriel Moise, Shuangqing Wang, Rachel C. Kilbride, John E. Anthony, Claudia E. Tait, Jenny Clark

Chemistry Faculty Publications

Singlet fission (SF) and triplet–triplet annihilation (TTA) are processes which may be exploited to boost the efficiency of solar energy technology. Despite being studied since the late 1960s, the mechanism of singlet fission is still not fully understood. This is partly because the main technique used to study singlet fission, optical or visible/near-IR transient absorption spectroscopy, cannot distinguish between the strongly coupled triplet-pair state¹(TT), weakly interacting triplet pairs (T..T), and independent triplet states T₁+ T₁. To solve this problem, we combine transient optical spectroscopy performed as a function of magnetic field and transient electron …

Expanding Functionalities Of Immune Receptors Through Simultaneous Transfer Of Sensor And Helper Nlrs, Dongjiao Wang, Qibin Wu, Daowen Wang, Youxiong Que, Zheng Qing Fu

Faculty Publications

No abstract provided.

The Governor’S Cabinet Project A Study Of The Evolution Of The Executive Branch, Revis. L. Edmonds

Theses and Dissertations

In Arkansas’s long path toward modernizing its executive branch, it may appear to the casual observer that the state was locked in a process in which its politics and its culture were engaged in a longstanding tug-of-war between traditionalists and modernizers—a conflict complicated by the state’s personality-based politics and restrictive post-Reconstruction constitution. It has often been asserted that the conflict, in Arkansas’s case the romanticizing of rural life as opposed to the economic and social interests of the fast-growing suburbs of Central and Northwest Arkansas, explains a great deal of this slow transition. This attitude was largely a product of …

Illinois Model Programs Of Study Guide: Architecture, Construction, And Energy, Education Systems Center

Reports, Analyses, and other Publications

First published in August 2021. Significantly revised in September 2024 to incorporate updated labor market information. An update in April 2025 included minor corrections. In August 2025, significant revisions were made to incorporate clean energy career pathways and two new sections were added: key terminology and the relationship between concepts.

Illinois Model Programs Of Study Guide: Manufacturing And Engineering, Education Systems Center

Reports, Analyses, and other Publications

First published in October 2020. Significantly revised in September 2024 to incorporate updated labor market information. An update in April 2025 included minor corrections. In August 2025, significant revisions were made to incorporate clean energy career pathways and two new sections were added: key terminology and the relationship between concepts.

Structural Insights Into Ssna1 Self-Assembly And Its Microtubule Binding For Centriole Maintenance, Lorenzo Agostini, Jason A Pfister, Nirakar Basnet, Jienyu Ding, Rui Zhang, Christian Biertümpfel, Kevin F O'Connell, Naoko Mizuno

2020-Current year OA Pubs

SSNA1 is a fibrillar protein involved in dynamic microtubule remodeling, including nucleation, co-polymerization, and microtubule branching. The underlying molecular mechanism has remained unclear due to a lack of structural information. Here, we determine the cryo-EM structure of C.elegans SSNA-1 at 4.55-Å resolution and evaluate its role in embryonic development. We find that SSNA-1 forms an anti-parallel coiled-coil, with self-assembly facilitated by an overhang of 16 C-terminal residues that form a triple-stranded helical junction. The microtubule-binding region is within the triple-stranded junction, suggesting that self-assembly of SSNA-1 creates hubs for effective microtubule interaction. Genetical analysis elucidates that SSNA-1 deletion significantly reduces …

Expanding Functionalities Of Immune Receptors Through Simultaneous Transfer Of Sensor And Helper Nlrs, Dongjiao Wang, Qibin Wu, Daowen Wang, Youxiong Que, Zheng Qing Fu

Faculty Publications

No abstract provided.

What If The Swans Wreaking Havoc In Supply Chains Are Grey Not Black?, Tony N.K. Lynch, Adrian E. Coronado Mondragon, Joo Y. Jung

Management Faculty Publications

Grey Swan is a relatively new construct that has not been adequately operationalised in supply chain management research. This work provides a supply chain management explanation and perspective on Grey Swans by distinguishing their characteristics relative to their more inconspicuous kindred, the Black Swans. Predictability and consequences are used to differentiate between the types of risk represented by black and grey swan events, as these are precursors to a set of descriptive and prescriptive (normative) views resulting from two pilot studies. Pilot studies were conducted to establish the validity and reliability of four types of supply chain disruptions comprising: labour …

Trade Association Leaders’ Successful Strategies For Increasing Racial Diversity Within Their Respective Industries, Nicole A. Singleton Norman

Walden Dissertations and Doctoral Studies

In the architectural, engineering, and construction (AEC) industry, innovation thrives on diverse perspectives. Without effective diversity and inclusion strategies, AEC industry leaders may hinder innovation opportunities, which could result in reduced profitability and employee morale in a highly competitive market. Grounded in institutional theory and resource-based view theory, the purpose of this qualitative pragmatic inquiry research project was to identify and explore successful strategies AEC trade association leaders use to assist association members in enhancing their organizations’ performance through workforce diversity to increase innovation, profitability, and employee morale. Data were gathered from six participants from various AEC trade associations across …

Exploring The Perceptions Of Organizational Justice Issues On Job Satisfaction And Organizational Commitment Of State Prison Staff, Stefani Trajceski

Walden Dissertations and Doctoral Studies

High turnover among correctional staff is a persistent challenge faced by institutions across the United States. Previous research has identified various factors influencing staff turnover intentions, with perceptions of fairness in the workplace playing a key role. Organizational justice theory offers a valuable framework for understanding how these perceptions influence job satisfaction and organizational commitment—factors linked to lower absenteeism and turnover intentions, as well as improved job performance and work-life balance. However, limited qualitative research has explored how these dynamics shape correctional staff experiences within state correctional facilities. The purpose of this study was to examine how correctional staff in …

2025 Fall Convocation Program, Morehead State University. Office Of Communications & Marketing.

Communications and Marketing Publications Archive

The 2025 Morehead State University Convocation Program from August 13, 2025.

Orbital Maneuvers And Interplanetary Trajectory Design Via Reinforcement Learning, Roberto Cuéllar Rangel

Doctoral Dissertations and Master's Theses

This dissertation investigates the application of reinforcement learning (RL) to the design and optimization of low-thrust spacecraft trajectories, with an emphasis on autonomy, adaptability, and robustness in the presence of system uncertainties and unmodeled perturbations. Classical approaches to low-thrust trajectory design are predominantly grounded in optimal control theory, which relies on the availability of precise dynamical models and often requires problem-specific reformulation and solver tuning. While optimal control methods offer high accuracy under deterministic conditions, their sensitivity to stochastic disturbances and computational limitations in highly nonlinear or uncertain environments pose significant challenges for future autonomous space missions.

To address these …

Towards A Modular Compliant Actuator Toolkit, Oliver Smith, Swen E. Gaudl, Pablo Borja

School of Engineering, Computing and Mathematics

Compliant Actuators differ from traditional Servo Actuators via the ability to sense and control for forces, in addition to position and velocity. A multitude of concepts exist: force-torque control of brushless DC motors, Series Elastic Actuators (SEAs) featuring a physical elastic element, and Variable Stiffness Actuators (VSA), which use a stiffness control mechanism to modulate the physical stiffness of the elastic element. However, due to the complexity, variety, and prohibitive cost of parts and fabrication, there is a lack of reproduction, which hinders the, development, adoption, and application of such devices. This paper introduces the concept of a Modular Compliant …

Re: Butte Priority Soils Operable Unit (Bpsou) Final Insufficiently Reclaimed Sites Field Sampling And Investigation Plan (Fsp) For Ur-19 – Butte, Anaconda & Pacific Railway From Montana Street To South Arizona Avenue – Montana Street Adjacent Parcel, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit (Bpsou) Draft Final Reclamation Improvement Sites Field Sampling And Investigation Plan (Fsp): Bres No. 18 – Walkerville Ballfield, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

An Exciting Future For Microbial Molecular Biology And Physiology, Andrew A Bridges, Leah Guthrie, Mckenzie Lehman, Elizabeth H Kellogg, Samantha Wellington Miranda, Andrew Pountain, Anthony L Shiver, Andrew Varble, Molecular Biology And Physiology Community Of The Council On Microbial Sciences, Heidi B Kaplan, Elizabeth A Shank, Gisela Storz

Faculty, Staff and Student Publications

Continuous advances in technologies ranging from deep sequencing and genetic manipulation to mass spectrometry, single cell imaging, and structural biology have led to previously unimaginable advances in our understanding of microbial physiology and the molecular mechanisms underlying microbial responses in a multitude of environments. Simultaneously, these advances are revealing how much more there is to learn. At the 2024 virtual retreat of the Molecular Biology and Physiology (MBP) Community of the Council on Microbial Sciences (COMS) of the American Society for Microbiology (ASM), eight early-career investigators, along with retreat attendees, discussed some of these astounding advances, as well as the …

The Impact Of Tuition Assistance On Employee Retention: Cybersecurity Employee Perceptions Of National Security Agency’S College Tuition Assistance Program, Marta I. Benitez-Guzman

Walden Dissertations and Doctoral Studies

U.S. employers spend considerable sums on employee skill development, including investments in college tuition assistance programs (CTAP). Based on a review of recent literature, measuring employer return on investment can be difficult. The literature contained varying results on the effectiveness of employer-provided incentives on retention decisions and provided insufficient empirical or evaluative data on employee perceptions and the influence on retention. The purpose of this qualitative evaluative case study was to examine how cybersecurity employees at the National Security Agency (NSA) who participated in CTAP (2019–2023) perceived the program's effect on their career development and retention decisions. The theoretical framework …