Digital Commons Network^™

Sources And Occurrence Patterns Of Hydrocarbons In The Surrounding Rocks Of Coal Seams: A Case Study Of The Jurassic Yan'an Formation In The Xinzhuang Mine Field, Longdong Area, Zhang Peng, Chen Dongdong, Zhao Junfeng, Zheng Kaige, Wang Chunxin, Zhou Xingtian

Coal Geology & Exploration

Objective and Methods This study aims to ascertain abnormal hydrocarbon outflows from the surrounding rocks of coal seams in the Jurassic Yan'an Formation within the Xinzhuang mine field in the Longdong area, southwestern Ordos Basin. Based on the fundamental principles of petroleum geology, sedimentology, and coal geology, this study systematically analyzed the sources, occurrence patterns, and primary controlling factors of hydrocarbons in the surrounding rocks of coal seams using methods including core observation, sample analysis, and statistical mapping. Results and Conclusions In the Xinzhuang mine field, hydrocarbon outflows are primarily identified in the floor of the No. 8 coal seam …

Investigating Seepage In Rough Porous Media Fractures Using Fractional Brownian Motion Simulation, Liu Weitao, Kong Debin, Mao Qingfu, Zhao Jiyuan, Gu Yulong, Zhang Xiao

Coal Geology & Exploration

Background Natural rock fractures are often partially filled with permeable materials such as silt and minerals under long-term geological and hydraulic actions, forming complex structures containing unfilled voids. The seepage characteristics of such fractures significantly influence petroleum extraction, mine water prevention, and the stability of underground engineering projects. Methods To reveal the underlying seepage mechanisms, this study generated rough profiles of unfilled voids with different fractal dimensions based on Fractional Brownian Motion. A theoretical expression for the overall permeability of partially filled fractures was derived, and a coupled free flow–porous medium flow numerical model was established. This framework was used …

Key Technologies And Engineering Practices For Green Drainage Of The Jurassic Burnt Rock-Hosted Water In The Shenfu Mining Area, Ji Zhongkui, Mou Lin, Wang Hai, Zhu Kaipeng, Zhao Kaixing, Chen Pan, Xue Xiaoyuan, Han Qiang, He Bo, Wang Fuming

Coal Geology & Exploration

Objective In the northern part of Shaanxi Province, coal mining has led to a pronounced contradiction between coal mining and water conservation, along with a serious threat to China’s ecological redline. These challenges necessitate transforming the mine water drainage pattern in coal mines. Green mine water drainage represents a key approach to achieving coordinated coal-water production in areas containing burnt rocks. Methods Focusing on the conservation-oriented utilization of the Jurassic burnt rock-hosted water in a coal mine within the Shenfu mining area, this study explored a solution to coordinated coal-water production in areas affected by burnt rock-hosted water from the …

Mine Water Storage In Deep Strata: Temperature Responses And The Quantitative Identification Of Primary Permeable Intervals, Xue Jiankun, Wang Shuangming, Zhang Pingsong, Wang Xiaodong, Han Le, Wang Zhizhou, Wang Yutong, Wang Zhibo

Coal Geology & Exploration

Background Storage in deep strata represents an effective approach to treating high-salinity mine water in mining areas of western China. For this technology, the use of directional wells can significantly enhance water injection efficiency, while selecting primary permeable intervals with high injectivity as drilling targets is key to its successful implementation. However, the accurate identification of these intervals in deep strata remains challenging. Methods By analyzing the wellbore temperature variations in the injection well during water injection, a qualitative model was developed to evaluate primary permeable intervals based on wellbore temperature curves. Following the principles of momentum and energy conservation, …

Field Tests On The Capillary Barrier Effect Of Covers For Comprehensive Utilization Of Solid Waste In Waste Dumps, Duan Xu, Chen Chuangchuang, Qiu Xun, Wang Bo, Shi Luyu, Yan Hanyang, Zou Yu, Qu Jin, Hu Zhaojiang

Coal Geology & Exploration

Background In the arid and semi-arid regions of northwestern China, the open-pit waste dumps of mining areas suffer from severe water erosion and the limited water-holding capacities of shallow cover soils. This restricts the ecological restoration of abandoned mine lands. Capillary barrier covers can enhance the water-holding capacities of water storage layers due to the differential hydraulic properties at the interface between fine- and coarse-grained layers. However, both the feasibility of constructing layered covers by mixing solid waste slags from waste dumps with clay and the water regulation performance of the covers are yet to be verified in the field. …

An Experimental Study On The Compressive Shear Failure Characteristics Of Mining-Induced Fractured Rock Blocks In The Absence Of Lateral Confinement And Under Unilateral Confinement, Wang Wenxue, Zhang Shicheng, Li Linyang, Zhang Ruochen, Liang Yankun, Chang Jian, Pan Xuwei, Zhao Guizhang

Coal Geology & Exploration

Objective Rock bridges exert a controlling influence on the deformation, fracture field evolution, and structural stability of mining-induced fractured rock masses. Therefore, it is necessary to investigate their deformation and failure characteristics, as well as the underlying controlling mechanisms, under different confinement conditions. Such investigations will provide theoretical support for the safe mining of underground coal seams and the prevention and control of mining-induced disasters. Methods Mechanical models of fractured rock blocks containing rock bridges were established. Specimens with different fracture dip angles, rock bridge widths, and material strengths were prepared using rock-like materials. Furthermore, an independently developed compressive shear …

An Integrated Automated Parameter Optimization Method Based On Fdem And Isight For Rock Mass Engineering: A Case Study Of Pillar Stability Design, Zhu Defu, Gao Bolong, Xu Jiabo, Wang Deyu, Gao Peng, Li Yalin, Hu Wenshuo

Coal Geology & Exploration

Background Conventional rock mass engineering design largely relies on empirical equations or numerical simulation schemes selected from a limited number of comparable cases, making it difficult to effectively balance multiple constraints such as safety, economic viability, and resource recovery. The finite-discrete element method (FDEM) based on the intrinsic cohesive zone model (ICZM) can effectively simulate the evolution of quasi-brittle materials from continuous to discontinuous behavior, rendering it particularly suitable for engineering issues involving highly discontinuous rock masses. Therefore, FDEM has become an important numerical analysis method in rock mass engineering. However, there remains an urgent need for a high-precision, integrated, …

An Image Recognition And Multi-Parameter Quantitative Characterization System For Fractures In Roadway Rocks, Xiong Yu, Jiang Lichun, Kong Dezhong, Li Jinzhu

Coal Geology & Exploration

Objective Conventional measurement methods for rock fractures suffer from low efficiency and high subjectivity. On the other hand, simple image recognition techniques struggle to achieve high-precision multi-parameter integrated analysis of rock fractures in complex roadway environments. To address these challenges, this study aims to develop an image recognition and multi-parameter quantitative characterization system for rock fractures. Methods At the core of the system is the formulation of a combined image preprocessing strategy. Specifically, fracture segmentation is conducted based on adaptive threshold binarization, isolated noise points are removed using morphological opening, and median filtering is introduced to perform the refined polishing …

Selection And Verification Of Optimal Key Parameters Of Ultra-Wideband Radars For Life Detection In Coal-Rock Shielding Environments In Coal Mines, Huang Yuan, Zheng Xuezhao, Wen Hu, Jin Feiyang, Xu Chengyu, Liu Yin, Ding Wen

Coal Geology & Exploration

Objective and Methods Ultra-wideband (UWB) radars can transmit electromagnetic waves that penetrate coal and rock media, thereby addressing the challenge of detecting and localizing personnel trapped in shielding environments during mine collapse. However, key parameters for UWB radar detection are difficult to determine due to complex mine environments, diverse media, and unclear dispersion characteristics. To deal with this issue, this study determined the frequency-dependent dielectric properties of various coal and rock media, as well as human tissues, through experiments and fitting. In combination with actual rescue scenarios, this study established the electromagnetic equivalent model of shielding environments in coal mines. …

A Method Of Reflected In-Seam Wave Imaging Based On The Structural Similarity Index Of Adjacent Gathers, Wang Ji, Wei Zhongli, Ye Hongxing, Wu Guoqing, Liu Shuo, Niu Huan, Su Xiaoyun

Coal Geology & Exploration

Background Reflected in-seam wave detection represents a major method for exploring geological anomalies in underground coal mines. This method is well suited to detecting concealed structures (e.g., faults and collapse columns) within coal seams in the tunneling direction of roadways or along their side walls. In recent years, to meet the safety requirements of green mine construction, explosive sources have been substituted with mechanical hammer impacts in increasing reflected in-seam wave detection. However, compared to conventional explosive sources, hammer impacts exhibit significantly lower instantaneous energy intensity and consistency. These limitations lead to reduced quality of reflected in-seam wave imaging, thus …

A Seismic Prediction Technology For Coalbed Methane Sweet Spots And Its Engineering Application In The Ordos Basin, Zhang Mengbo, Li Fei, Zhang Dong, Peng Jiankang, Cui Xiaojie, Ni Na, Long Shengfang, Tao Yu, Zhu Jun

Coal Geology & Exploration

Objective Deep coalbed methane (CBM) reservoirs tend to exhibit significant tuning effects of thin interbeds, leading to challenging localization of actual coal seam boundaries, limited identification accuracy of micro-amplitude structures in the coal seam roof, and poor stability of the seismic responses of the reservoirs' gas-bearing properties. To address these challenges, this study investigated the No. 8 coal seam of the Benxi Formation in the Mizhi area, Ordos Basin. Accordingly, a method with the prediction of gas-bearing properties as the primary controlling factor was developed for the seismic prediction and comprehensive evaluation of CBM sweet spots. Methods First, the actual …

Factors Influencing The Build-Up Rate Of Small-Diameter Rotary Steerable Systems In Underground Coal Mines, Yang Dongdong, Li Quanxin, Zhang Youzhen, Chen Long, Chu Zhiwei, Jiang Bici, Wang Bo, Yan Wenchao

Coal Geology & Exploration

Objective Intelligent drilling represents an important part of intelligent coal mine construction. However, measurement-while-drilling (MWD) directional drilling, the core of underground intelligent drilling operations, currently suffers from several limitations, including the high dogleg severity of wellbore trajectories, low drilling efficiency, and poor hard-rock penetration. Rotary steerable system (RSS) technology has emerged as a key approach to addressing these limitations owing to its high-precision control on drilling trajectories. Methods This study systematically analyzed the factors influencing the build-up rate of small-diameter, push-the-bit RSSs using a modified 3-point circle method and the longitudinal beam bending method. Through theoretical modeling, the coupled impacts …

Machine Learning-Based Diagnosis Of Fracture-Induced Lost Circulation And Intelligent Selection Of Lost Circulation Control Fluids, Sun Huan, Zhu Mingming, Wang Jinshu, Yao Lu, Zhou Fangfang, Tan Xuebin, Sun Yan, Qu Yanping, Chen Ning

Coal Geology & Exploration

Objective and Method Drilling operations in the Changqing area face several challenges in lost circulation, including complex types, significantly different characteristics, and difficulty in designing plugging formulations. To address these issues, this study proposes a DSX-Hybrid coupled intelligent decision-making framework, which serves as an integrated scheme to identify lost circulation channels, perform intelligent selection of plugging formulations, and offer recommendations on construction process. In this framework, given the scarcity of labeled log data, the density-based spatial clustering of applications with noise (DBSCAN) is employed to mine latent geological characteristics of unlabeled data. Then, the self-attention convolutional neural network (SACNN) is …

Fast-Track Ode: A Student-Centered, Game-Based Summer Differential Equations Course, Chamila D. Malagoda Gamage

CODEE Journal

This article describes a student-centered and game-based redesign of an Elementary Differential Equations course taught during a six-week summer session. In this compressed setting, students had to move through the standard course content quickly while still developing procedural fluency, conceptual understanding, and confidence with applications. To support these goals, the course used real-time feedback tools, collaborative problem solving, applications connected to students' fields, and mathematical games. The paper describes the course context, major activities, implementation details, and student feedback. Student responses suggest that the activities were well received and helped students stay engaged, participate regularly, prepare for exams, and see …

Unveiling Cuo-Doped Mwcnts Incorporated Polycaprolactone As Effective Photocatalytic Nanomembranes For Sequestrating Toxic Dyes From Industrial Wastewater And Antibacterial Applications, Hesham Moustafa, Mohamed Mousa, Mohamed Morsy, Gotdon Price, Mohamed H. Hemida, Samah A. Mohamed, Ahmed Helal

Nanotechnology Research Centre

Organic dyes, such as methylene blue (MB), are widely used in the textile and dyestuff industries, which can be released into the environment as major dye pollutants in wastewater, thereby causing serious environmental hazards. The present research aimed to synthesize effective CuO-doped multi-walled carbon nanotubes (MWCNTs) and incorporated into a renewable polycaprolactone (PCL) polymer at varied dosages (i.e., 3, 7, and 10 wt%) to fabricate photocatalytic nanomembranes for toxic dye sequestration. XRD, SEM and FTIR analysis were employed to characterize the structure, morphology and composition of prepared nanoparticles and PCL nanomembranes. The mechanical properties and antibacterial performance of prepared nanomembranes …

Nasa’S Ecostress Satellite Reveals Widespread Midday Depression In Ecosystem Evapotranspiration, Jingyi Bu, Jingfeng Xiao, Joshua B. Fisher, Yiqi Luo

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Plants often exhibit a midday depression in water use (i.e., transpiration), reflecting a constraint on their ability to sustain maximum water transport, which may occur at the cost of reduced photosynthesis. Eddy covariance observations and geostationary satellites cannot quantify this widespread phenomenon globally while resolving fine-scale spatial variability. Using evapotranspiration measurements from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and machine learning, we quantify the global distribution of midday depression in evapotranspiration. Midday depression primarily occurs during peak-growing seasons in temperate zones and dry periods in the tropics, with a morning shift of the peak evapotranspiration time …

Development Of Quantum Cryptographic Algorithm For Next Generation Secure Systems, Gururaja Ts Mr

Theses and Dissertations

The rapid advancement of digital communication and quantum technologies are developing at an accelerated pace makes cybersecurity and data protection a big challenge. The traditional cryptographic methods are increasingly under attack by phishing, brute force, cryptanalytic attack and threats of quantum computing. This research presents a quantum-secure communication based on Quantum Random Number Generator (QRNG), Quantum Key Distribution (QKD), Quantum Image Encryption (QIE) and secure quantum key access using a dongle-based hardware.

QRNG models were designed in the quantum simulator and hardware. The sequences produce high entropy and they passed the statistical randomness tests with p-values higher than 0.01 indicates …

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

Unreclaimed sites exist within the Butte Priority Soils Operable Unit (BPSOU) that could pose a threat to human health or surface water quality due to the presence of historical mine waste. Although many source areas have been previously reclaimed, areas still exist in which soil has not yet been evaluated; such sites may provide a pathway for human exposure or impact surface water quality via stormwater runoff. These Unreclaimed sites will be evaluated in accordance with Appendix D, Attachment C, Section 8.0 of the BPSOU Consent Decree (referred to herein as CD) (EPA, 2020a).

This Quality Assurance Project Plan (QAPP) …

2026 Final Unreclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

Unreclaimed sites exist within the Butte Priority Soils Operable Unit (BPSOU) that could pose a threat to human health or surface water quality due to the presence of historical mine waste. Although many source areas have been previously reclaimed, areas still exist in which soil has not yet been evaluated; such sites may provide a pathway for human exposure or impact surface water quality via stormwater runoff. These Unreclaimed sites will be evaluated in accordance with Appendix D, Attachment C, Section 8.0 of the BPSOU Consent Decree (referred to herein as CD) (EPA, 2020a).

This Quality Assurance Project Plan (QAPP) …

2026 Final Insufficiently Reclaimed Sites Quality Assurance Project Plan (Qapp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

Insufficiently Reclaimed sites exist within the Butte Priority Soils Operable Unit (BPSOU) that could pose a threat to human health or surface water quality due to the exposure of historical mine waste. Although many source areas have been previously reclaimed, areas exist where reclamation was completed prior to the establishment of the Butte Hill Revegetation Specifications (BHRS) or reclaimed areas that have failed consecutive Butte Reclamation Evaluation System (BRES) inspections and now fall into either the Insufficiently Reclaimed or Reclamation Improvement category. In all these cases, additional work is required to comply with the BHRS to ensure the cap remains …

Adaptive Rational Approximation In Dynamic Economic Models: A Novel Application Of The Aaa Algorithm To Economic Growth, Adaye Sosthene Yvan N'Guettia

Mathematics, Statistics, and Computer Science Honors Projects

I study adaptive rational approximation for fixed points that arise in infinite-horizon dynamic programming. I integrate the Adaptive Antoulas–Anderson (AAA) algorithm into Bellman- and Euler-based fixed-point solvers by recomputing a barycentric rational interpolant at each update. In addition to standard AAA, which selects support points from interpolation residuals, I study a residual-weighted variant in which Bellman,Euler, or KKT diagnostics act as secondary weights on the greedy pivot rule. This alignment of approximation adaptivity with the underlying equilibrium conditions can concentrate degrees of freedom in regions of steep curvature, sharp transitions in localbehavior, and other localized features that typically degrade polynomial …

An Analysis Of The Effects And Implementations Of The Early Literacy Grant In Arizona, Alicia Severiano Perez

Mathematics, Statistics, and Computer Science Honors Projects

Over the years, states have implemented Science of Reading (SoR) frameworks to address low literacy levels. The Early Literacy Grant (ELG) in Arizona funds and supports such frameworks for schools serving low-income students. This paper is the first to explore the grant through interrupted time series modeling to evaluate effectiveness and text analysis to understand its implementation. We do not find clear evidence of positive effects caused by the grant, other than some cases, such as Yuma County. Schools typically allocate funds toward salaries and hiring instructors. These findings raise questions about whether its allocations should be closely monitored.

Level Sets For Lehmer Codes Of Pattern Avoiding Permutations, Avery Sinclair

Mathematics, Statistics, and Computer Science Honors Projects

We study the poset structures for two families of pattern avoiding permutations. An n-permutation is a list of the numbers [n]={1,2,...,n}. A permutation is 321-avoiding when it does not contain a decreasing subsequence of length 3. A poset (partially ordered set) is a set such that some elements can be compared with one another. Using Lehmer codes, we define a poset for 321-avoiding permutations. We then fully describe the six lowest levels of this poset. We then consider the analogous poset for 123-avoiding permutations (which don't contain an increasing subsequence of length 3) and fully describe the three lowest levels.

Oregon State Rank Assessment For Koehler's Rockcress (Boechera Koehleri), Lindsey K. Wise, Gabriel Campbell

Institute for Natural Resources Publications

Oregon state conservation status assessment for Koehler's rockcress (Boechera koehleri) using NatureServe methodology, 2026.

Correlative In Situ Nonlinear Optical Characteriztion Of Plasmonic Colloidal Nanoparticle Growth Dynamics, Stena C. Peterson

LSU Doctoral Dissertations

Colloidal noble metal nanoparticles are of extreme interest as nanomaterials and for the wide variety of their possible applications in nanomedicine. The unique linear and nonlinear optical processes associated with these nanomaterials can be studied using a variety of spectroscopic techniques including extinction, second harmonic generation (SHG), and two-photon fluorescence (TPF) spectroscopy. In order to better understand and optimize these nanomaterials for their desired applications, it is important to investigate the growth and photophysical dynamics associated with gold nanoparticles, silver-gold core-shell (Ag-Au CS) nanoparticles, and gold-silver-gold core-shell-shell (Au-Ag-Au CSS) nanoparticles in addition to how their size, surface morphology, composition. and …

Temperature Predictions With Zncuins/Zns Quantum Dots, Reu/Fri Program Physics And Astronomy, Amber Banks

Student Works

For hundreds of years, humans have built thermometers based on the principles of thermal expansion and contraction. In the modern world, there is a need to scale down our thermometers to monitor cellular reactions, both within the human body and within artificial organ chips. Lewis et al. (2020) introduces a nanoscale thermometer based on the thermal expansion of CdTe quantum dots. When ex panded, these dots exhibit systematic changes in photoluminescence (PL) which are recognized by a neural network as an increase in temperature. Our research builds upon the framework of Lewis et al. (2020), testing its feasibility with ZnCuInS/ZnS …

Machine Learning For Functional Outcome Prediction After Vestibular Schwannoma Surgery: A Systematic Review And Diagnostic Test Accuracy Meta-Analysis, Shiva Nischal, Shaan Patel, Musa China, Kush Kale, Yi Hein Chai, Santosh Guru, William Muirhead, Patrick Grover

Department of Neurosurgery Faculty Papers

PURPOSE: Machine learning (ML) models have been increasingly applied to predict postoperative facial nerve dysfunction and hearing preservation after vestibular schwannoma (VS) surgery. However, reported performance varies substantially, and the overall diagnostic accuracy and clinical reliability of these models remain uncertain. We conducted a systematic review and diagnostic test accuracy meta-analysis to characterise the current state and methodological readiness of ML-based prediction of these outcomes.

METHODS: PubMed, Embase, and CENTRAL were searched from inception to February 2026. Studies evaluating ML-based prediction of facial nerve function or hearing preservation following VS surgery were included. Diagnostic performance metrics were pooled using random-effects …

Synthesis, Thermal Stability, And Ionic Conductivity Of Phenyl-Extended Viologen Ditriflate Salts: Tailoring Properties Via Oxyethylene Chain Length, Seonghyeok L. Cox, Emily Moon, Si L. Chen, David King, Haesook Han, Pradip K. Bhowmik, Calvin Ng Yi Bin, Thamil Selvi Velayutham, Alfonso Martinez-Felipe

Chemistry and Biochemistry Faculty Research

Six new phenyl-extended viologen salts with oxyethylene groups paired with triflate anions (OTF) have been synthesized using anionic ring-opening and ring-closing reactions (ANRORC) and metathesis reactions with LiOTf salts. The salts, which contain terminal oxyethylene chains of varying lengths ((CH₂CH₂O)_n, n = 1, 2, 3, 4, 5, and 7), are named PEOn-OTF. These materials exhibit a fluorescence response and possess high thermal stability, with processing windows up to approximately 300 °C, as confirmed by thermogravimetric analysis. While samples with short chain lengths (n = 1, 2, and 3) undergo crystallization observed …

Feedback Indices To Evaluate Llm Responses To Rebuttals For Multiple Choice Type Questions, Justin C. Dunlap, Anne-Simone Parent, Ralf Widenhorn

Physics Faculty Publications and Presentations

We present a set of indices designed to characterize Large Language Model (LLM) responses when challenged with rebuttals during a chat. Assessing how LLMs respond to user dissent is crucial for understanding their reliability and behavior patterns, yet the complexity of human-LLM interactions makes systematic evaluation challenging. Our approach employs a fictitious-response rebuttal method that quantifies LLM behavior when presented with multiple-choice questions followed by deliberate challenges to their fictitious previous response. The indices are specifically designed to detect and measure what could be characterized as sycophantic behavior (excessive agreement with user challenges) or stubborn responses (rigid adherence to the …

Interpretable Multimodal Learning For Integrating Neuroimaging And Genetic Data In Alzheimer’S Disease, Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Haoteng Tang

Computer Science Faculty Publications

Introduction: Early detection of Alzheimer's disease (AD) requires models that combine brain structure changes with genetic risk, but existing methods struggle to align these different data types.

Methods: We present R-GenIMA, an interpretable multimodal large language model that pairs a region-of-interest vision transformer with genetic prompting to jointly analyze structural MRI and single nucleotide polymorphisms (SNPs). Each brain region becomes a visual token and SNP profiles are encoded as structured text, letting the model link regional atrophy to genetic factors through cross-modal attention. Tested on the ADNI cohort, R-GenIMA performs well in classifying four groups: normal cognition, subjective memory concerns, …