Digital Commons Network^™

Enrichment Patterns And Accumulation Models Of Coalbed Methane Under Complex Geological Conditions: A Case Study Of The Xintian Coal Mine In Western Guizhou Province, China, Xu Shuai, Wu Caifang, Bie Xiaofei, Li Guangsheng, Fang Xiaojie, Wang Fangfang, Cheng Yi, Zhao Peng

Coal Geology & Exploration

Objective The Xintian Coal Mine, a critical coal-producing mine in western Guizhou Province, faces high risks of coal and gas outbursts and the challenge of low underground coalbed methane (CBM) extraction efficiency, necessitating surface CBM extraction. However, the complex geological conditions in the area limit well placement and the fracturing and gas drainage effectiveness. Therefore, there is an urgent need to systematically elucidate the occurrence characteristics and enrichment patterns of CBM in the area.Methods Based on data from exploration boreholes in the Xintian Coal Mine, combined with experiment and test results and log interpretations, this study revealed the physical …

Mechanisms Behind The Control Of Floor Failure In Deep Coal Mines By Hydraulic Fracturing Based On Power-Law Fracture Networks, Duan Hongfei, Ye Dayu, Zhao Lijuan, Zeng Yifan, Zou Junpeng, Yu Guofeng, Meng Xiang

Coal Geology & Exploration

Objective Hydraulic fracturing of coal seam floors represents an important technical approach to mitigating damage to the floor rock masses through proactive pressure relief and to improving seepage pathways. However, there is a lack of systematic, quantitative insights into the evolutionary characteristics of floor fracture networks, as well as their impacts on the stress redistribution and rock stability of coal seam floors, during hydraulic fracturing.Methods This study aims to address the challenge that is prone to cause severe damage to the floor rock masses. First, a coal seam floor was considered a saturated porous medium containing multi-scale fractures based …

Comparison Of Models For Predicting The Floor Failure Depths Of Coal Seams With Moderate Thicknesses And Above Under Fully Mechanized Mining, Xu Bin, Zhong Cen, Dong Shuning, Yin Shangxian, Wang Hao, Li Shuxia, Du Yongwei, Zhang Kebin

Coal Geology & Exploration

Objective The failure depth of a coal seam floor represents a critical parameter for assessing the risk of floor water inrushes. With the widespread application of fully mechanized mining with a large mining height, existing empirical equations suffer from insufficient accuracy when used to calculate the mining-induced floor failure depths of coal seams with moderate thicknesses and above.Methods Based on the compressive strength of coal seam floors (i.e., hard, moderately hard, and weak floors), 107 sets of data samples of the measured floor failure depths of coal seams with moderate thicknesses and above under fully mechanized mining were classified. …

Post-Grouting Subsidence Of The Overburden In Goaves At Major Engineering Sites: Fiber Optic Monitoring And Deformation Mechanisms, Cao Xiaoyi, Liu Xiaoping, Liu Haoqi

Coal Geology & Exploration

Background The characteristics and mechanisms of residual deformations in goaves after engineering reinforcement (i.e., grouting filling) concern the design, construction, and long-term safety of major engineering projects. Furthermore, they are identified as the key to the efficient development of abandoned land in goaves within old mining areas. Therefore, it is necessary to explore methods and techniques for monitoring post-grouting subsidence of the entire strata in goaves. This will help acquire high-quality, long-term monitoring data on deformation in the field and reveal the mechanisms behind deformation associated with post-grouting subsidence in goaves.Methods This study investigated the Xiaohegou Bridge site (including …

Mould Risk Prevention In Healthcare Facilities In Hot And Humid Climates Through Acmv Air Supply Parameter Optimisation: Development And Validation Of A Multi-Objective Optimisation Framework, Jiang Kaiyun

Student Works (2020-2029)

Air conditioning mechanical ventilation (ACMV) supply parameters—such as airflow rate, temperature, and humidity—significantly influence indoor thermal and hygrometric conditions, influencing airflow patterns and mould proliferation. In healthcare facilities, mould poses significant health risks, particularly for immunocompromised patients, contributing to respiratory issues, allergic reactions, and infections. While ACMV systems are central to infection control and indoor air quality, conventional designs often fall short in hot and humid climates. Existing practices typically prioritise high air change rates (ACH) without sufficient dehumidification, underestimate humidity control, and assume spatial homogeneity, overlooking microclimates conducive to localised mould growth. To address these limitations, this research develops …

Multi-Modal Tensor Fusion For Alzheimer’S Disease Recognition, Mason Li, Tiffany Le, Jiajing Huang, Yuxin Wen

Engineering Faculty Articles and Research

Accurate and early diagnosis of Alzheimer’s disease (AD) is critical for effective intervention, disease monitoring, and patient care. Traditional diagnostic approaches rely on a single modality, such as clinical assessments, neuroimaging, or genetic markers, which may fail to capture the complex, multifaceted nature of AD. Multimodal learning has therefore been explored to integrate complementary information across data sources. However, conventional fusion strategies, including early feature concatenation and late decision-level fusion, often model modalities independently and fail to capture high-order cross-modal interactions. To address these limitations, we propose a multimodal tensor fusion network (MTFN) that integrates heterogeneous data sources, including visual …

Drone Based Operational Cloud Seeding, Jared Smith

Spring Runoff Conference

Cloud Seeding: Next Generation Operations and Validation

What is Winter Cloud Seeding? 

• The act of introducing favorable dust particles into a cloud to promote ice crystal nucleation 
• Requires naturally occurring clouds and cold temperatures 
• Aimed at enhancing winter snowpack

Great Salt Lake Basin Integrated Plan – Longterm Actions, Jake M. Serago

Spring Runoff Conference

GSL’s water level is in long-term decline. Water users face shortages and challenges. Increased temperatures, greater precipitation extremes and population changes are stressing water supplies in the basin. 84% of Utah residents think the Government is accountable for resolving issues facing GSL.

Agricultural Water Leasing Opportunities & Updates, Hannah Freeze

Spring Runoff Conference

The framework for this leasing program is based on depletion savings from conservation practices not surplus or tailwater

Pheasant Forever Loan Program, Will Benkelman

Spring Runoff Conference

Bear River Watershed Community Conservation Program

Our Mission: Pheasants Forever (PF) and Quail Forever’s (QF) mission is to conserve pheasants, quail, and other wildlife through habitat improvements, public access, education, and conservation advocacy.

Logan River Watershed Draft Environmental Impact Statement, Zan Murray

Spring Runoff Conference

Agenda:

Program Overview: PL-566 & NEPA

Project Need and Purpose

Project Alternatives

Preferred Alternative Costs and Benefits

NEPA Timeline/Current Schedule

Questions

A Tangible Modeling Language For Systems Engineering, Maissane Aik

Student Research Symposium (SRS)

With the continuous growth of technology and system complexity, systems engineering plays a crucial role in ensuring performance, adaptability, and clarity across interconnected processes. Yet, as modeling tools become increasingly abstract and dependent on digital infrastructures, they have drifted away from the tangible, intuitive ways humans naturally think, communicate, and design. Current modeling approaches often require engineers to navigate numerous diagrams and layers of abstraction. To address the gap, this research will focus on creating a novel systems engineering language that reintroduces tangibility into system modeling. The proposed language will represent system elements as modular blocks that capture structure, behavior, …

Computational Study Of Slosh Dynamics And Active Slosh Damping In Spacecraft Propellant Tanks Equipped With A Magneto Active Propellant Management Device, Priyanshu Savaliya

Student Research Symposium (SRS)

The management of liquid propellant in microgravity remains one of the longest-standing issues in spacecraft design. Traditional passive damping techniques using baffles or diaphragms tend to add structural mass and complexity. The current study proposes a novel active slosh damping device which dynamically adjusts the rheology of the damper fluid using electromagnets, simulated in ANSYS Fluent, to actively manage and dampen slosh in an oscillatory excited cylindrical propellant tank. The electromagnetic fields are modulated through a User-Defined Function (UDF) that responds to force feedback simulated in real time via virtual load cells. In Fluent, the interface dynamics of xenon, fuel, …

Cache Water District Conservation Program, Autumn Matthews

Spring Runoff Conference

Conservation and Education Programs.

Conservation Goals:

Increase community awareness through outreach, workshops, and community programs that support water conservation.

Expand and improve programs that encourage water savings and more efficient water use across the community.

Help residents save money by promoting water efficiency and reducing unnecessary water use.

Water Supply Update, Jordan Clayton

Spring Runoff Conference

Snowpack and Water Supply Conditions.

>95% of the water we use in Northern Utah comes from snow. Therefore, it’s critically important to quantify how much water is stored in our snowpack.

Legislative Summary Panel, Brian Steed, Scott Sandall, Jill Koford, Joel Ferry

Spring Runoff Conference

Legislative updates provided at the Spring Runoff Conference 2026.

Water In 2026, Spencer Cox

Spring Runoff Conference

Presentation by Utah Governor Cox.

A Causal Inference Methodology For Root-Cause Diagnosis In Nonstationary Industrial Time Series, Cansu Yalim

Knowledge and Creativity Expo

Industrial fault diagnosis lacks a procedure that learns time-varying causal structure from observational time series, makes identifiability limits explicit, and uses intervention-based reasoning to support root-cause assessment under industrial constraints. Although predictive maintenance can reduce downtime, diagnosis is often expert-rule-based or association-driven; pipelines may elevate downstream symptoms alongside true drivers and provide limited guidance on which feasible action would change a fault trajectory under current operating conditions. Because operating phases and fault progression create regime shifts, industrial systems rarely follow a single stable mechanism. This study develops and evaluates a three-stage, regime-aware causal diagnostic protocol based on a time-varying Dynamic …

Rigorous Electromagnetic Beamforming Simulations For Realistic Vehicular-To-Infrastructure (V2i) Scenarios In 5g Systems, Mohanad Hussam Aldean Ahmed Almuzian

Theses and Dissertations

Millimeter-wave (mmWave) Vehicle-to-Infrastructure (V2I) communication is a key enabling technology for next-generation intelligent transportation systems, offering high data rates and low latency to support safety-critical and autonomous driving applications. However, mmWave communication at 28 GHz suffers from severe path loss, sensitivity to blockage, and strong dependence on antenna directivity and beam alignment, particularly in complex urban environments. As a result, advanced beamforming and multi-antenna techniques are essential to ensure reliable and high-capacity V2I links. This thesis investigates mmWave V2I communication performance using realistic electromagnetic modeling and beamforming techniques. Full-wave antenna simulations and deterministic ray-tracing are employed using Ansys Electronics Desktop, …

The Writing On The Wall: The Rise Of Applied Ai And The Life-Or-Death Choice Every Ceo Must Make Now, Gary Sheng, Ron Roberts

Digital Laboratory: Publisher of Internet Journal

Applied AI is putting AI to its highest and best use: running your organization as autonomously as possible so you can deliver value for humanity while maximizing the scale of the value. The economy is splitting. Organizations that adopt applied AI are expanding their capacity, accelerating their impact, and pulling ahead. Those that don't are quietly becoming irrelevant, not because they're doing bad work, but because the gap between what they can do and what the moment requires is widening every day. This is not a technology question. It is a leadership question. This paper is written for organizational leaders, …

Photoplethysmography For Measuring Cognitive Load In Xr Environments: A Systematic Review, Alya Alshehhi, Qammer H. Abbasi, Rami Ghannam

School of Engineering Technology Faculty Publications

Photoplethysmography (PPG) is a low-cost, low-power biosensing technology with growing applications in education, particularly for monitoring cognitive load in eXtended Reality (XR) learning environments. Measuring cognitive load is critical for preventing overload and optimising immersive learning, yet existing approaches such as self-reports or Electroencephalography (EEG) are often intrusive, costly or impractical for real-time use. This systematic review is the first to synthesize a decade of research (2015–2025) on the use of PPG for cognitive load measurement in XR. Twenty-three studies were identified and analysed according to PRISMA guidelines, with attention to sensor placement, integration with other modalities, research design, and …

Marine Vehicle Dynamics Using Koopman Operator Theory With Hybrid Observables, Mikhalib A L Green

LSU Master's Theses

Accurate modeling of marine vehicle dynamics remains challenging due to strong nonlinear hydrodynamic effects, environmental disturbances, and sensitivity to configuration changes, particularly for small-scale platforms. Classical physics-based models require extensive parameter identification and often exhibit degraded performance outside narrow operating regimes, while purely data-driven approaches may lack structure or impose high computational cost. This thesis presents a data-driven Koopman operator framework with hybrid observables for modeling the dynamics of unmanned marine vehicles. The proposed approach combines structured monomial observables with a learned neural network embedding to construct a lifted state representation in which the nonlinear vehicle dynamics are approximated by …

Large-Scale File Fragment Classification Via Multi-View Learning, Samuel Hildebrand

LSU Master's Theses

File reassembly is one of the most fundamental tasks in digital forensics, enabling recovery of data from potentially damaged storage media even when file system metadata is unavailable. This thesis reviews more than two decades of work in the realm of file carving, with a particular focus on fragmented file carving, which remains a focus of research, and file fragment classification, a principal component of fragmented file carving. This thesis serves a literature review of both file carving and fragmented file carving, surveys the massive amounts of data needed for the task of fragment classification and the datasets that serve …

Geometry-Driven Controls On Hydrothermal Natural Hydrogen Generation From Magnetite Mineral, Kaveh Moghanirahimi, Lionel Esteban, Valeriya Shulakova, Muhammad Ali, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Despite recent efforts to investigate hydrothermal natural hydrogen production from magnetite, the effects of sample geometry and surface area on hydrogen yields remain inadequately characterized. This study compares hydrogen production from natural magnetite prepared as an intact slab versus fine powder under identical experimental conditions (pH 9, 200 °C, 103.4 bar, 60 days). The results show that magnetite powder yielded 0.052 mmol g−1 rock hydrogen, approximately fivefold higher than the slab. Comprehensive characterization of the magnetite slab revealed increased surface roughness after reaction. Quantitative XRD analysis showed substantial phase conversion from magnetite to hematite, consistent with oxidation of Fe2+ to …

Investigation Of Process Parameters To Fabricate Tiwmo Refractory Medium Entropy Alloy Via Laser Powder Bed Fusion, Abdullah Al Masum Jabir, Lindsey A. Salazar, Jianzhi Li

Manufacturing & Industrial Engineering Faculty Publications

This paper presents an experimental study on the fabrication of a TiWMo refractory medium-entropy alloy (RMEA) using laser powder bed fusion (PBF-LB/M, commonly known as selective laser melting) from elemental powders as well as successful alloy formation on titanium substrates. The effects of tungsten particle size and process parameters on successful TiWMo RMEA fabrication have been explored using scanning electron microscopy (SEM), x-ray diffraction, hardness measurement and microstructural analysis. Scanning electron microscope (SEM) analysis revealed that the lowest percentage (0.01%) of unmelted tungsten particles was observed at a laser power of 350 W and scanning speed of 250 mm/s, particularly …

Arid: Agglomerative Regionalization Via Information Divergence, A Novel Clustering Algorithm For Geo-Spatial Data, Joshua David Sills

Dissertations and Theses

Regionalization is a clustering problem that seeks to partition geospatial data into geographically contiguous regions while remaining internally homogeneous in their attributes. It has been successfully applied towards the development of urban planning, natural resource discovery, and ecological analysis. Existing popular approaches optimize homogeneity using Euclidean or variance-based criteria, which ignore distributional differences such as variance shifts, multimodality, and higher-order dependence. This thesis introduces ARID (Agglomerative Regionalization via Information Divergence), a spatially constrained agglomerative clustering framework that replaces distance-based merging with an information-theoretic, Ward-like criterion that utilizes the Kullback-Leibler (KL) divergence. ARID constructs a neighborhood graph from coordinate space and …

What Holds High-Speed Rail Back: Lessons From Global Systems And California’S Experience, Deepak K. Sharma, Rajnish Lekhi, Scott Parr

Mineta Transportation Institute

This report examines benefits and challenges of integrating California High-Speed Rail (CHSR) with other rail systems and reviews California legislation impacting HSR’s contracting and financing alternatives. The research compares CHSR with high-speed rail systems around the world to identify similarities and differences in costs, speeds, ridership, and operating conditions. It also reviews Japan’s Land Readjustment Act as a model for value capture and land assembly and explores international experiences on rail integration, along with U.S. cases from the East Coast and Los Angeles. A review of California’s transportation legislation highlights how laws for highways and bridges differ from those for …

Mechanical, Thermal And Fire Behaviour Of Hemp-Based Composites With Different Binders For Sustainable Building Applications, Anilcan Aygun, Fahri Birinci, Selim Aytac, Ali Kemal Ayan, Hasan Alp Sahin, Ibrahim Isildak

Journal of Sustainable Construction Materials and Technologies

This study investigates the physical, mechanical and thermal properties of hemp-based composites produced with traditional binders such as lime, cement, gypsum, clay, and water-based glue. Hemp fractions of different sizes (splinter, shiv, fiber and powder) were combined with these binders to manufacture cube and plate specimens, which were tested for physical, mechanical, thermal, and temperature resistance properties. The study aims to compare the mechanical, physical, thermal, and fire behaviour of these composites to assess their suitability for sustainable construction applications. The hemp-based composites were tested for unit weight, water absorption, compressive strength and thermal conductivity. Most specimens are lightweight (<1000 kg/m3), and exhibit good thermal insulation performance and high compressive deformability, making them suitable for seismic-prone regions. The glue-based composite had the lowest unit weight, measured as 330 kg/m3. Thermal conductivity ranged from 0.051 to 0.243 W/m· K, with several mixtures performing better than natural pumice. While cement-based composites showed the highest compressive strength, ranging from 5.5 to 24.8 kg/cm2, natural hydraulic lime is the lowest. Water absorption was high, and moisture release occurred slowly across all hemp fractions. Combustion tests indicated that hemp-based materials have moderate temperature resistance, with charring temperatures ranging from 238–265°C for raw hemp and 300–385°C when mixed with binders. Overall, hemp-based composites are lightweight, eco-friendly, and suitable for non-load-bearing construction and insulation applications. However, improvements in moisture resistance and long-term durability are necessary to enhance their practical applicability.

Sustainable Cow Dung Bricks: An Innovative Approach To Eco-Friendly Masonry With Enhanced Thermal And Mechanical Performance, Nagesh Sugandhi, Sachin Patil, Satish Reddy, Ashwini G, Santosh Kumar

Journal of Sustainable Construction Materials and Technologies

This study explores the development, characterization, and performance of sustainable cow dung bricks using locally sourced organic (cow dung) and mineral (clay, quartz sand, feldspar, lime) constituents for non-load-bearing masonry in India. Three blends with varying cow dung content (70%, 75%, 80%) were mixed, molded, air dried, and cured without kiln firing to reduce environmental impact. The bricks' mechanical properties—compressive strength, water absorption, bulk density, flexural strength, shore hardness, and modulus of elasticity—were systematically evaluated with complete statistical documentation (n = 6 replicates per formulation per test age). Microstructural features were investigated using Fourier Transform Infrared Spectroscopy (FTIR) and X-Ray …

Critical Heavy Metal Contamination In The Tigris River, Baghdad: A Comprehensive Assessment Using The Metal Index (Mi), Talib Kamil Abed, Abass J. Kadhem, Muwafaq Hussein Al-Lami

AUIQ Technical Engineering Science

One of the most important rivers in Iraq is the Tigris River, which serves as the primary source of drinking water and irrigation for agricultural purposes. In recent events, researchers have identified growing concerns about heavy metal contamination in the river. To decide the status of the Tigris River, the metal index (MI) was used in this study. To conduct this study, three locations were chosen along the river, and eight likely harmful heavy metals were examined: iron (Fe), lead (Pb), nickel (Ni), zinc (Zn), chromium (Cr), cadmium (Cd), manganese (Mn), and copper (Cu). The results were worrying. The metal …