Digital Commons Network^™

Trophic Ecology Of A South Carolina Estuarine Predator Guild, Shane John Molander

Electronic Theses and Dissertations

Estuaries are among the world’s most productive ecosystems in the world and are characterized by the convergence of two distinct habitats, creating a mosaic of environmental conditions from inland rivers to the nearshore ocean. Many fishes occupy estuaries during various life stages for growth, reproduction, or foraging, and may reside in them seasonally. The co-occurrence of species, particularly upper-trophic level carnivores, can result in competitive interactions for prey resources within a shared environment. Identifying the degree of these interactions as well as understanding basal energy consumption can inform food web dynamics and how overlapping species use shared spaces. I used …

Citizen Science As A Long-Term Environmental Baseline: Assessing Impacts Of A Small Dam Removal In Montana, Usa, Bethany Blakey, Natalie Bursztyn

Watershed Sciences Student Research

As dam removals increase in frequency across Europe and North America, most research has focused on the impact of larger dam removals, despite the removal of small dams being much more common. There are hundreds of small dams in Montana, USA, and this research investigates impacts on stream ecology and morphology using citizen science data collected over eight years spanning before and after a 2020 small dam removal in Rattlesnake Creek. We analyzed pebble count grain size distributions and aquatic macroinvertebrate biotic indices from 2017 to 2024 to assess changes in sediment transport and macroinvertebrate population as well as evaluate …

Artificial Intelligence And Social Equities: Navigating The Intersectionalities In A Digital Age (Editorial), Daisuke Akiba, Julie Albright

Publications and Research

This editorial article introduces and synthesizes the Special Issue, “Artificial intelligence and social equities: navigating the intersectionalities in a digital age,” which examines how AI systems intersect with race, ethnicity, and interconnected identity dimensions across global contexts. The eight contributions span healthcare, digital media, higher education, organizational communication, and speculative futures, addressing anti-racist psychiatric algorithms, AI-generated visual disinformation, epistemic injustice between the Global North and South, algorithmically mediated rural–urban divides, culturally untranslated technology transfer, accessibility auditing across the AI lifecycle, and the tension between mechanical objectivity and empathic understanding. Read together, they show that AI is neither inherently …

Credence Goods In Markets With Collective Reputation: Nature Of Equilibria And The Value Of Certification, Erin Krupka, Thomas P. Lyon, Arnab Mitra

Economics Faculty Publications and Presentations

Fraud can cause markets for credence goods to collapse, but collective reputation has been suggested as a potential solution, especially when buyer valuations for quality are high. We develop a discrete model of a market for label credence goods and provide conditions for no-fraud equilibria based on collective reputation. We identify conditions under which all equilibria may be asymmetric or involve mixed strategies and hence sellers may face coordination problems. Our analysis suggests such coordination problems are the greatest when the size of the high-quality market is approximately half of the overall market (that incorporates both high- and low-quality goods), …

Adaptation Of A Seismic Outreach Program: Collaboration Between University Students And Seaoc Mos, Paul Quinter, Ryan Lovejoy, Kristin Potterton, Anahid A. Behrouzi, Lelli Van Den Einde

Architectural Engineering

For nearly two decades, students in University of California, San Diego’s Society of Civil and Structural Engineers (UCSD SCSE) chapter have conducted a Seismic Outreach program that reaches around a thousand 4th and 6th grade students annually. This success motivated an effort to share and deploy the curriculum through other universities. To achieve this, the Structural Engineers Association of San Diego (SEAOSD) sought and received a 2024 National Council of Structural Engineers Associations (NCSEA) grant that supported collaboration between UCSD SCSE, the Structural Engineers Association of Southern California (SEAOSC), and California Polytechnic State University, San Luis Obispo (Cal Poly). This …

Llm-Integrated Anomaly Detection For Iot Networks: Framework Structure, Mamoon M. Saeed, Rashid A. Saeed, Salah Hagahmoodi, Rania A. Mokhtar, Khalid Hamid

Baghdad Science Journal

Internet of Things (IoT) devices are vulnerable to zero-day attacks because most of them have weak or no inherent security due to the resource constraints of the devices. This weakness underscores the growing need for anomaly-based intrusion detection systems tailored to IoT networks. Nevertheless, general anomaly detection traditionally has a high number of false positives that drain analysts' time. Also, a semantic difference exists between the system's results and the operators' interpretations. We introduce a machine learning-based framework to tackle these issues in traditional systems in this paper by combining large language models (LLMs). Our model is effective in identifying …

Video Steganography Based On Invertible Neural Networks With Densenet And U-Net Features, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Baghdad Science Journal

The increased rate of cyber threats such as fraud and other forms of attack, including phishing, malware, and denial-of-service attacks, has led to a growing demand for secure methods to ensure the security of sensitive information that is transferred among users. Video steganography has become a very important element in dealing with these security issues, as communication has become more dependent on multimedia content. Hiding information is now an area that is being developed very fast with the introduction of Deep Learning (DL)-based steganography methods. This framework introduces Vid_Steg_DenseUNet, a video steganography method which efficiently extracts multi-level features using edge-preserving …

Qrc-Pso: A Quad-Module Ring-Competitive Pso Algorithm For Coverage Optimization In Wireless Sensor Networks, Yu-Xuan Zhou, Shao-Qiang Ye, Di-Wen Kang, Xue-Wei Liu, Kai-Qing Zhou

Baghdad Science Journal

Coverage optimization in WSNs is critical for disaster warning and industrial monitoring, but is challenging due to multi-modality and high-dimensionality. Particle swarm optimization (PSO) offers fast convergence and simple parameter tuning, yet suffers from premature convergence and parameter sensitivity in multi-peak problems. To address these issues, we propose a Quad-module Ring-Competitive PSO (QRC-PSO). It comprises four heterogeneous subgroups with distinct parameter configurations for global exploration, local exploitation, balanced search, and perturbation enhancement. Subgroups evolve independently but exchange elite particles via a ring-topology migration strategy: every 20 iterations, the best three particles of each subgroup move clockwise to the next subgroup …

A New Reptile Search Algorithm For An Intelligent Video Retrieval System, Ansam Nazar Younis, Fawziya Mahmood Ramo

Baghdad Science Journal

The increasing volume of videos produced and shared via smart devices has made indexing and retrieving them a clear challenge. Current retrieval systems, such as specialized video retrieval systems, rely on text-based searches, which often misrepresent and frequently result in erroneous descriptions of the requested video, particularly when it comes to videos about certain specialities like security or medical procedures that are hard to describe. As a result, we developed a model that handles information-rich video queries, making it easier to find related videos that are specifically relevant to the user's needs. This paper proposes a new method for indexing …

A Vision For The Future Of Academic Publishing In Sports Analytics, Ryan Elmore, B. Baumer, Brian Macdonald, Gregory J. Matthews, Michael E. Schuckers

Statistical and Data Sciences: Faculty Publications

This article introduces the Journal of Statistics and Data Science in Sports (JSDSS), a Diamond Open Access, peer-reviewed journal. The journal is founded on three core principles. First, our commitment to open access is absolute. Second, reproducibility is critical and fundamental to the journal. Third, we believe sport is a rich and underutilized laboratory for statistical and data science innovation. The aim of the Journal of Statistics and Data Science in Sports is to provide an outlet for original, rigorous, practical, state-of-the-art, reproducible, and peer-reviewed analysis of sports data as well as the data science tools (software, applications, data, etc.) …

Personal Authenticity For Engagement And Transfer In Introductory Cybersecurity Education, Daniel T. Hickey, Ronald J. Kantor

Journal of Cybersecurity Education, Research and Practice

Abstract—This conceptual/theoretical paper explores how personal authenticity might promote generative learning in introductory cybersecurity courses. Generative learning transfers confidently to future educational, professional, personal, and testing situations. This cycle of design-based research addresses the concern that more typical professionally authentic contexts (e.g., hospitals, banks, etc.) may be alien and overwhelming to many students, particularly those in introductory courses and/or from non-professional families and communities. If so, this leads to “inert” knowledge that does not transfer. Personal authenticity is rooted in expansive framing, a modern theory of learning transfer. We reframe expansive framing as personal authenticity to make it …

Draft Final 2023 Reclamation Improvement Sites Sampling: Bres No. 31 – Waste Dump #5 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

This Butte Priority Soils Operable Unit (BPSOU) Reclamation Improvement (RI) Site Evaluation Summary Report (SESR) presents results of soil sampling conducted on October 16, 2023, at the Butte Reclamation Evaluation System (BRES) No. 31 – Waste Dump #5 Site and adjacent areas (referred to herein as Site) within the BPSOU. The BPSOU Consent Decree (CD) (referred to herein as BPSOU CD; EPA, 2020) Appendix D, Attachment C Further Remedial Elements Scope of Work (FRESOW) prescribed further evaluation of sites reclaimed prior to establishment of the Butte Hill Revegetation Specifications (BHRS) (Appendix A to the BPSOU CD), which were initially established …

Mentor Evaluation Of A Black Male Youth Mentoring Program, Kenneth Brown

Walden Dissertations and Doctoral Studies

This study was an exploration of how Black male mentors perceived organizational practices, culturally responsive mentoring, relational safety, and systems level barriers shaping their effectiveness and continued participation. The purpose was to examine early mentor-mentee match dissolution and low mentor retention in a nonprofit youth mentoring through the lens of the ecological systems theory and program evaluation framework. The practice-focused research questions were: How do volunteer mentors and program staff perceive the organizational practices and culturally responsive strategies that influence mentor effectiveness and retention in youth mentoring programs, and what organizational and systemic challenges do Black male mentors encounter in …

2026 Final Bpsou Backfill And Cover Material Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

This Butte Priority Soils Operable Unit (BPSOU) Backfill and Cover Material Quality Assurance Project Plan (QAPP) provides the procedures and protocols necessary to conduct sampling and geotechnical characterization activities on import borrow and other externally sourced materials that will be used in backfill, cover soil, or engineered caps for upcoming BPSOU remediation activities described in the BPSOU Consent Decree (CD) (referred to as BPSOU CD; EPA, 2020a) Further Remedial Elements Scope of Work (FRESOW) (Attachment C of Appendix D to the BPSOU CD), the 2020 Residential Metals Abatement Program (RMAP) Unilateral Administrative Order (UAO) Amendment (EPA, 2020a), and ongoing maintenance …

Deep Learning-Based Burned Area Mapping Of California Wildfires Using Sentinel-2 And Landsat-8 Imagery Enhanced With Super-Resolution Techniques, Youngmin Seo, Seung Hee Kim, Menas Kafatos, Jinsoo Kim, Yangwon Lee

Institute for ECHO Articles and Research

The increasing frequency of wildfires under a changing climate has led to extensive ecosystem destruction, highlighting the need for reliable burned area assessment using satellite imagery. Single-satellite data are constrained by observation gaps and interference from smoke and clouds, whereas multi-satellite data fusion can mitigate these limitations. Nonetheless, the fusion techniques still encounter challenges such as spatial information loss from resolution differences and cross-satellite domain mismatch. This study presents a burned area mapping framework that integrates super-resolution (SR) with transfer learning to address spatial and domain gaps in multi-satellite data. Specifically, Landsat-8 imagery is super-resolved to 7.5 m resolution, and …

Statistical Model Of Subsurface Scattering Bias In Icesat‐2'S Atl06 Product, Thilini Bamunu Arachchige, Kelly E. Gleason, Jonathan C. Ryan, Markus Allgaier

Environmental Science and Management Faculty Publications and Presentations

ICESat‐2 uses visible laser pulses and photon‐counting detectors to range the Earth's surface, providing precision altimetry for measuring ice sheet elevation change. However, since water ice is transparent to visible light, the photon returns recorded by ICESat‐2's ATLAS instrument may originate from subsurface scattering inside the snow or glacier ice volume, making the surface appear lower than it is. Here, we develop a Monte Carlo Radiative Transfer model to characterize the potential bias caused by subsurface scattering in snow and ice. Our model allows us to study the subsurface scattering bias in relation to photon number, scattering coefficient, and slope …

Lightweight Open Source On-Spacecraft Machine Learning With Mlpack And F Prime, Ryan R. Curtin, Scott M. Gilliland, Sterling L. Peet

Small Satellite Conference

Onboard machine learning is an increasingly important topic in spaceflight systems, as machine learning and AI models are increasingly used for data processing, anomaly detection, attitude control systems, and other predictive applications. However, successfully deploying a machine learning model in a spaceflight computing environment is fraught with difficulty, as spaceflight computing environments are low-resource, but typical machine learning software solutions are implemented in languages like Python, which require an interpreter and other heavyweight dependencies. It is therefore virtually mandatory for any on-spacecraft machine learning to be written with lightweight toolkits that minimize dependencies and resource usage.

We demonstrate a solution …

Uncertainty Quantification And Platform Scattering For The Cimr Reflector Antenna, Tonny Rubaek, Pasquale Giuseppe Nicolaci, Cecilia Cappellin

Small Satellite Conference

The Copernicus Microwave Imaging Radiometer (CIMR) employs a 7.1 m conical scanning mesh reflector antenna rotating at 7.8 rpm that operates from L to Ka band. Demanding radiometric accuracies and sensitivities at few tenths of a Kelvin at high spatial resolution are targeted for the instrument. These require a high accuracy in the characterization and modelling of the antenna pattern over 4π, considering any nearby scattering structure, and/or any potential multipath due to the antenna installation on the S/C, as well as the quantification of the uncertainty on the beam efficiency (BE) arising (from possible in-orbit random variations in the …

Sar Disksat Demonstration Mission For Constellation In Vleo, Hirobumi Saito, Mitsuteru Kaneoka

Small Satellite Conference

We proposed a novel concept of quasi-two-dimensional SAR (synthetic aperture radar) satellites, SAR DiskSats, in 2023 at this conference. This year, in 2026, the demonstration missions of SAR DiskSats are authorized by the Japanese government as a Space Strategy Fund’s Mission. This paper describes the concept and the mission scenario of the demonstration mission in 2028 and 2030. The SAR DiskSat features a deployable passive slot array antenna that can be compactly folded within the quasi-two-dimensional satellite body. This configuration allows for flexible solar cell sheets to be installed on the backside of the antenna, as the antennas do not …

Design Mechanism Framework For Autonomous Small Satellite Constellations – A Newspace Outlook, Mohammed Irfan Rashed

Small Satellite Conference

The increasing deployment of small satellite constellations is driving a transition from isolated spacecraft missions toward distributed and coordinated space operations. However, as constellation size and mission complexity grow, traditional ground-centric operational approaches become difficult to scale due to communication limitations, delayed decision-making, and increased operational workload. While autonomy has been widely explored through onboard algorithms and artificial intelligence techniques, there remains limited focus on how autonomy should be integrated into the systems engineering architecture of constellation missions. This paper presents a Design Mechanism Framework (DMF) for autonomous small satellite constellations that embeds autonomy directly into mission architecture, operational logic, …

Modeling Of Supersonic Wave And Shock Propagation Using The Lattice Boltzmann Method, Timothy P. Schroeder

Beyond: Undergraduate Research Journal

The lattice Boltzmann method (LBM) has emerged as a mesoscopic alternative to traditional Navier-Stokes solvers for modeling fluid dynamics offering advantages in computational efficiency, parallelization, and handling of complex boundaries. Despite these strengths, accurately reproducing compressible, shock-driven phenomena remains challenging. This study investigates the performance of LBM in simulating the Sod shock tube problem, a classical benchmark for compressible flow-using both single and double distribution function formulations across one- and two-dimensional lattice stencils. A MATLAB-based solver was developed to model the flow under isothermal conditions and compared to the analytical solution using the L2 norm error. The one-dimensional models achieved …

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

Resilience-Oriented Geological Safeguards For Damage Mitigation In Coal Resource Exploitation, Wang Shuangming, Sun Qiang, Yan Meixin, Miao Lintian, Liu Lang, Qiao Junwei, Niu Chao, Geng Jishi, Fang Chenxi, Zhang He, Xiao Lele, Li Shibo

Coal Geology & Exploration

Background Coal remains a fundamental component of China’s energy security system. With the westward shift of coal development and continuous expansion into deeper strata, coal mining is confronted with increasingly complex geological conditions and growing ecological constraints. Geological damage induced by mining disturbance has evolved from isolated geological issues into a coupled Earth-system problem involving the lithosphere, hydrosphere, pedosphere, atmosphere, and biosphere, characterized by uncertainty, hysteresis, concealment, and cross-scale accumulation. Resilience-based damage mitigation emphasizes reducing the probability, intensity, and recovery costs of geological damage through proactive identification, dynamic regulation, damage suppression, and post-disturbance restoration under mining disturbance and external environmental …

Key Technologies And Their Application Of Vertical Large Models For Geological Guarantee In Coal Mining, Liu Zaibin, Fan Tao, Liu Borui, Chen Changyuan, Li Guihong, Li Wei, Jing Xiaotian, Li Xiping, Du Yiming

Coal Geology & Exploration

Background General-purpose large language models (LLMs) have remarkable capabilities in natural language understanding and complex-task reasoning. However, when applied to geological guarantee in coal mining, these models still suffer from several inherent limitations, including insufficient professional geological knowledge, limited insights into industrial terminology, and inadequate integration of engineering logic and rules. Consequently, they face challenges in accurately capturing domain-specific knowledge and reasoning mechanisms required for geological interpretation, early warning of disasters, and decision-making for disaster prevention and control. These issues lead to limited applicability and reliability of general-purpose LLMs. On the other hand, geological guarantee in coal mining involves multi-source …

Mechanisms And Implications Of The Novel Cast Model Of Coal Graphitization, Wang Shaoqing, Zhang Jingzhe, Zhang Xiaomei, Wang Xiaoshuai, Chen Hao, Wang Xiaoling, Li Wu, Tang Yuegang

Coal Geology & Exploration

Objective and Methods Coal graphitization is a multi-stage process with abrupt changes rather than linear evolution. So far, its inherent driving mechanisms have not yet been fully elucidated. Notably, twisted graphene was observed in the process of coal graphitization in 2025, providing a new opportunity to reveal the essence of this structural transformation. Results and Conclusions By combining previous research results, this study proposes a novel coal graphitization model that consists of condensation, alignment, stacking, and twisting (CAST). The four parts of the CAST model are organically integrated, collectively forming a continuous and dynamic evolutionary process. Most especially, no absolute …

Microstructure Evolution Characteristics Of Coal Briquettes During Hot Pressing Carbonization And A Temperature Control Method, Gan Qingqing, Xu Jiang, Peng Shoujian, Cai Guoliang

Coal Geology & Exploration

Objective Coal briquettes used for physical simulations of gas disasters in coal mines generally exhibit low strength and high permeability. To address this challenge, this study developed a new hot pressing process and a temperature control method to optimize the mechanical and seepage performance of coal briquettes. Methods First, an optimal mixing ratio scheme was determined based on the Horsfield close-packing theory, and coal briquettes were prepared at different temperatures using an independently developed hot pressing system. Subsequently, the microstructure evolution patterns of the hot-pressed coal briquettes were characterized using an X-ray diffractometer (XRD), an X-ray photoelectron spectrometer (XPS), a …

3d Geological Modeling And Its Application For Steeply Dipping Coal Seams In The Miquan Area, Xinjiang, Wu Luofei, Li Yong, Zhang Weiqi, Han Yiyang, Zhang Jie, Cao Mingliang, Li Qiang

Coal Geology & Exploration

Background Influenced by multi-stage compression from the North Tianshan and Bogda mountains, the southern margin of the Junggar Basin in Xinjiang exhibits the widespread development of steeply dipping coal seams. The extreme stratigraphic occurrence, combined with complex structural superimposition styles, poses significant challenges to the fine-scale characterization of these coal seams. Correspondingly, the planar and regional distribution patterns of gas content in these coal seams remain poorly understood, rendering it difficult to effectively determine the sweet spots of coalbed methane (CBM). Methods Focusing on the Miquan area, Xinjiang, this study investigated the methodology for 3D geological modeling of representative steeply …

Evolutionary Characteristics And Fine-Scale Zoning Of Overburden Fractures For Pressure-Relief Mining Of Soft Coal Seams, Wang Long, Deng Zhiliang, Zhang Zongxiang, Guo Baohua, Tan Hongchen, Zhao Pengtao, Hu Longsheng

Coal Geology & Exploration

Objective During the mining of coal seam groups, substantial gas is prone to rush into the mining face from adjacent coal seams through interconnected mining-induced fractures. This poses a threat to safe coal mining. Under pressure-relief mining of soft coal seams, their low permeability and high stress sensitivity present challenges to the successive mining of protective and protected coal seams. Specifically, mechanisms behind the overburden fracture evolution remain poorly understood, and it is difficult to identify preferential pathways for gas migration accurately. Methods This study investigated coal seam groups in the Jiahe mining area of Hunan Province as the engineering …

Spatial Topological Configurations Of Cleats And Geometrical Quantitative Characterization Of Matrix Blocks In Deep Coal Seams, Shen Jian, Li Wei, Tian Yongjing, Ma Tianyu, Zhang Hewei, Dong Jiying, Zhu Peipei

Coal Geology & Exploration

Objective Cleats in deep coal seams are characterized by strong heterogeneity, and their topological configurations, as well as their topological relationships with matrix blocks, remain poorly understood. On the other hand, the assumptions regarding the size and geometry of matrix blocks adopted in representative reservoir structure models and numerical simulations do not fully reflect actual reservoir conditions. Methods Deep coal cores collected from the northeastern Ordos Basin were investigated in this study. Using CT scanning and topological theory, a multi-dimensional topological parameter system was established to characterize cleats in deep coal seams. Furthermore, four topological configurations of cleats in deep …

Stable Isotope-Based Origin Identification And Enrichment Zone Division Of Medium- To Low-Rank Coalbed Methane, Wang Qiong, Xu Fengyin, Ren Pengfei, Xu Hao, Lu Pengda, Hu Han, Zhou Siyuan

Coal Geology & Exploration

Objective Medium-to low-rank coalbed methane (CBM) exhibits complex origins with significant vertical differentiation, leading to unclear origin identification and enrichment patterns. This study aims to determine the genetic mechanisms, enrichment patterns, and efficient exploitation pathways of medium- to low-rank CBM. This will help improve the theoretical system for the exploration and exploitation of such CBM. Methods CBM data from 14 typical low- to medium-rank coalfields and coal-bearing basins across the world were comprehensively analyzed, including CBM compositions C₁/(C₂+C₃), carbon and hydrogen isotopes of CH₄ (δ¹³C-CH₄ and δD-CH_{4 …}