Physical Sciences and Mathematics Commons^™

Research Progress And Prospects Of High-Salinity Mine Water Storage In Deep Strata, Xue Jiankun, Wang Shuangming, Zhang Pingsong, Wang Xiaodong, Zhou Zhenfang, Wang Tiantian, Zhang Quan, Xu Shi'ang, Wang Zhizhou

Coal Geology & Exploration

Background High-salinity mine water (HSMW) is widely distributed in mining areas in western China, while its discharge and treatment pose severe challenges to both the ecosystem and resource utilization. In recent years, HSMW storage in deep strata has gained widespread attention as an environmentally friendly and resource-saving approach for mine water treatment.Advances Focusing on the general characteristics of HSMW, this study systematically reviewed the key scientific issues and technical bottlenecks associated with HSMW storage in deep strata, highlighting its principles, technical classification, and engineering application. It comprehensively elucidated the applicability boundaries of this technology, involving the core links such …

Influence Mechanisms Of Cleats On Hydraulic Fracture Propagation In Deep Coalbed Methane Reservoirs, Wang Haiyang, Lu Chen, Su Xu, Wang Yufei, Zhou Desheng

Coal Geology & Exploration

Objective Creating large-scale fracture networks through hydraulic fracturing serves as an important approach to the commercial development of deep coalbed methane (CBM) reservoirs. However, these reservoirs contain extensively developed cleats. The significantly different cementation strengths of cleat fillings lead to complex interactions between cemented cleats and major hydraulic fractures during fracture propagation. Therefore, clarifying the mechanisms underlying the influence of cemented cleats on hydraulic fracture propagation is critical to improving the simulation effects of deep CBM reservoirs. Methods Using particle flow code (PFC) discrete element method, combined with quasi-triaxial mechanical test results of the No.8 coal seam within the Yichuan …

Seepage Dynamics And Damage Characteristics Of Shaft Lining Concrete Under Hydraulic Coupling, Xue Weipei, Zhou Yaya, Cheng Hua, Yao Zhishu, Rong Chuanxin, Wang Zhongjian, Wu Hao

Coal Geology & Exploration

Objective Concrete serves as a lining material for support structures used in vertical shafts in coal mines, and its seepage performance and mechanical characteristics play a crucial role in ensuring structural safety. Furthermore, shaft lining concrete is placed under the groundwater level, subjected to a stress environment significantly different from that of surface concrete.Methods To investigate the impacts of groundwater seepage on the performance of shaft lining concrete under triaxial stress conditions, hydraulic coupling tests were conducted using a servo pressure testing machine equipped with a seepage apparatus, yielding data on permeability, elastic volumetric strain, crack volumetric strain, and …

Evolutionary Mechanisms And Control Strategies For Surrounding Rock Stability Of Inclined Shafts Under Groundwater Seepage, Zhang Cun, Zhao Xiangyu, Chen Yanhong, Ren Zhaopeng, Wu Runze

Coal Geology & Exploration

Background The western coal mining area has emerged as China’s primary coal production base. In this area, multiple ten-million-ton-scale coal mines are constructed using inclined shafts. Since inclined shafts run through multiple aquifers, many of them are subjected to shaft wall rupture and water inrushes to varying degrees.Methods This study aims to determine the impacts of groundwater seepage on the surrounding rock stability of inclined shafts. Using field survey, theoretical analysis, and numerical simulation, this study investigated the shaft wall stability of the main inclined shaft in water-rich sections in the Xiaojihan Coal Mine.Results and Conclusions Theoretical analysis …

Mechanisms Behind Water Inrush Disasters Induced By Tbm Tunneling Passing Through Deeply Buried Fault Fracture Zones, Li Zhi, Dong Shuning, Shi Zhiyuan, Tong Renjian

Coal Geology & Exploration

Objectives While passing through a deeply buried water-rich fault fracture zone, a tunnel boring machine (TBM) frequently faces an extremely high risk of water inrushes, seriously restricting the engineering safety and efficiency. Methods This study aims to reveal the evolution patterns of water inrush disasters in the case where the TBM roadway tunneling passes through faults zones and propose technologies for advance prevention and control to mitigate the water inrush risk. Against the engineering background of the tunneling of a main roadway in a coal mine within a North China-type coalfield, this study established a 3D numerical model using the …

Tle-Unet-Based Image Segmentation And Feature Extraction Of Water-Cooling-Induced Complex Cracks In High-Temperature Rock Masses, Fu Tianyu, Hu Mangu, Zhang Xiaojun, Yang Xiaobin, Lyu Fu, Lyu Xiangfeng, Peng Lei

Coal Geology & Exploration

Objective and Method Water cooling-induced macroscopic surface cracks in high-temperature rock masses are characterized by fine scales, pronounced length variations, and severe class imbalance in images, posing significant challenges for image segmentation. To address these challenges, this study proposed TLE-UNet, a semantic segmentation network for rock crack images. First, through thermal treatment and uniaxial compression tests of granite specimens, crack images under varying temperatures were acquired. Then, using a self-developed Lite Edge Fusion module, high-resolution shallow features were finely aligned with deep semantic features at varying scales. Furthermore, edge detection and channel-attention mechanisms were combined to enhance crack boundary perception. …

Multiscale Fusion Aot-Gan Intelligent Filling Of Blank Strip For Formation Microresistivity Imaging Logging, Huang Luyi, Wang Fei, Kong Lingsong, Jiang Qishu

Coal Geology & Exploration

Objective Formation microresistivity imaging (FMI) images features incomplete borehole coverage and thus contain blank strips due to the gaps between electrode pads, as well as their pushing and attachment mechanisms. Traditional blank strip filling methods suffer from several limitations, including susceptibility to image distortion and difficulty in retaining information on fine-scale structures such as fractures. This study developed an aggregated contextual-transformation generative adversarial network (AOT-GAN) for blank strip filling, aiming to achieve high-precision and high-fidelity information reconstruction. Methods Initially, a high-quality dataset was prepared based on original FMI images, along with full-borehole images obtained through image inpainting using CIFLog. Then, …

A Drilling-Punching-Hole Protection Integrated Hydraulic Caving Technology For Broken Soft And Low-Permeability Coal Seams, Yao Ningping, Hao Shijun, Zhang Jinbao, Wei Hongchao, Nie Chao

Coal Geology & Exploration

Objective and Method For broken soft and low-permeability coal seams, gas drainage achieved through permeability enhancement and pressure relief by cross-seam hydraulic caving in coal seam floor faces problems including serious borehole collapse in the drilled coal seam intervals, low construction efficiency, and poor gas drainage performance. To address these problems, this study proposed a high-efficiency drilling-punching-hole protection integrated gas drainage technology, which enabled hydraulic caving, permeability enhancement, and pressure relief. Furthermore, this study developed a drilling-punching-hole protection integrated caving device. Through laboratory experiments conducted under pressure conversion and central channels equipped with controllable opening/closing mechanisms, this study selected the …

Surface-Borehole Resistivity Tomography For Seepage Detection In Earth-Rock Dams, Tan Lei, Hu Xiongwu, Zhang Pingsong, Jiang Xiaoyi, Dong Ya, Liu Fuda, Li Chunyang, Xu Hu

Coal Geology & Exploration

Objective Resistivity methods allow for effective detection of seepage in reservoir dams. However, when used to detect the hidden hazards of dams, the surface resistivity method fails to accurately identify vulnerable areas across an entire dam due to blind spots near both dam abutments and insufficient resolutions for deep parts. Methods This study proposed a seepage detection technique for earth-rock dams based on surface-borehole resistivity tomography, followed by the analysis of the distribution of surface-borehole resistivity under the lateral and vertical variations in a seepage zone through numerical simulations. This technique was applied to the Shibi reservoir dam. Using the …

Note: Greenvent – Revolutionizing Methane Management With Hybrid Energy Processing In Mine Ventilation, Roman J. Jędrzejczyk, Damian K. Chlebda, Jacek Dańczak, Piotr Rosikowski, Monika A. Koperska, Robert E. Hayes, Joseph P. Mmbaga, Robert Hildebrandt, Joanna Profic-Paczkowska

Journal of Sustainable Mining

Methane plays a significant role in intensifying the greenhouse effect, possessing a global warming potential more than twenty times greater than that of CO₂ when measured on a carbon-dioxide-equivalent basis. Hence, identifying efficient methods to mitigate methane emissions is crucial for safeguarding the environment, ensuring economic viability, and maintaining practicality. Globally, research initiatives are dedicated to crafting an effective catalyst system for methane oxidation, which involves developing catalysts, comprehending their characteristics, and determining the best way of bonding them to structural supports to enhance functionality. Notably, systems that incorporate metals from the non-noble d-block of the periodic table as …

Minimal Supersolution Of Bsdes Driven By Continuous Martingales In A General Filtration, Badr Elmansouri, Mohamed El Otmani

Journal of Stochastic Analysis

In this paper, we study minimal supersolutions of backward stochastic differential equations (BSDEs) driven by a continuous local martingale in a general filtration. We establish existence, uniqueness, and stability results under various mild conditions on the terminal value and the generator. Additionally, we explore the connection between the concept of non-linear expectation and minimal supersolutions, emphasizing the specific properties that are relevant to our framework. We also prove a general monotonic limit theorem and apply this result to determine the smallest constrained supersolution of a BSDE with a possibly non-convex constraint.

Optimizing Gamma Radiation Shielding Of Low Bismuth Borate Glass Via Antimony Addition: Optical And Physical Insights, Shaimaa Hafez, Elsayed Salama, Wesam Omar

Basic Science Engineering

This study reports the fabrication and characterization of novel bismuth borate-based glass systems doped with varying concentrations of antimony oxide (Sb₂O₃) for gamma radiation shielding applications. Using the melt-quenching method, the glass systems [0] with x = 0, 1, 3, and 5 mol% were prepared. Density measurements, X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and UV–Vis–NIR spectroscopy were employed to analyze the structural, physical, and optical properties systematically. The results show that increasing Sb₂O₃ content raises the glass density, refractive index, and oxygen packing density, while reducing the molar volume and optical band gap. These changes contribute to forming a …

Biological Opinion Monitoring Of Riparian Habitat And Forest Stand Resources, Peter D. Howe

Funded Research Records

No abstract provided.

Algorithmic Opacity In Opioid Risk Scoring And The Need For Transparent Ai Regulation, Sherry Yun Wang, Ryan Stofer, Zhouzhou Chu, Xiao Huang, Ang Li

Pharmacy Faculty Articles and Research

NarxCare®, a proprietary opioid risk scoring system embedded in Prescription Drug Monitoring Programs (PDMPs), has generated significant patient complaints. We adhered to the technical specifications and applied them to PDMP and IQVIA PharMetrics® Plus Closed Health Plan claims database. Despite adding socioeconomic covariates, precision (0.01–0.32) was far below the reported benchmark of 0.75, and F1 scores (0.02–0.39) were also substantially lower than the benchmark value of 0.65, across all our reconstructed models.

Hybrid Vision Transformer–Cnn Framework For Alzheimer’S Disease Cell Type Classification: A Comparative Study With Vision–Language Models, Md Easin Hasan, Md Tahmid Hasan Fuad, Omar Sharif, Amy Wagler

School of Mathematical & Statistical Sciences Faculty Publications

Accurate identification of Alzheimer’s disease (AD)-related cellular characteristics from microscopy images is essential for understanding neurodegenerative mechanisms at the cellular level. While most computational approaches focus on macroscopic neuroimaging modalities, cell type classification from microscopy remains relatively underexplored. In this study, we propose a hybrid vision transformer–convolutional neural network (ViT–CNN) framework that integrates DeiT-Small and EfficientNet-B7 to classify three AD-related cell types—astrocytes, cortical neurons, and SH-SY5Y neuroblastoma cells—from phase-contrast microscopy images. We perform a comparative evaluation against conventional CNN architectures (DenseNet, ResNet, InceptionNet, and MobileNet) and prompt-based multimodal vision–language models (GPT-5, GPT-4o, and Gemini 2.5-Flash) using zero-shot, few-shot, and chain-of-thought …

A Probabilistic Deep Learning Framework For Retrieving Chlorophyll-A From Hyperspectral Imagery: Integrating Channel Attention And Mixture Density Networks, Wenzhao Li, Surendra Maharjan, Rejoice Thomas, Junde Chen, Hesham Morgan, Michael J. Garay, Olga V. Kalashnikova, Shahryar Fazli, Charles Ichoku, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Accurate monitoring of Chlorophyll-a (Chla) is critical for assessing aquatic ecosystem health, yet ecological complexity often leads to ambiguous spectral signatures in satellite data. Traditional deterministic models assume a one-to-one mapping between spectra and pigments, often failing to capture these high-dimensional analytical challenges. In this study, we propose a novel deep learning architecture, the Channel Attention-Mixture Density Network (CA-MDN), to retrieve Chla from the National Aeronautics and Space Administration (NASA) Earth Surface Mineral Dust Source Investigation (EMIT) hyperspectral mission. The CA-MDN integrates an attention mechanism to dynamically select ecologically relevant spectral bands and employs a probabilistic output layer to quantify …

Anomalous Spontaneous Induction Of Magnetic And Electric Fields In Dense Quark Matter, Efrain J. Ferrer, Jose Miguel Perez-Fernandez

Physics & Astronomy Faculty Publications

In this paper, we will demonstrate that a dense quark-matter system in the dual chiral density wave (DCDW) phase behaves as a ferromagnet in the sense that its magnetic-field dependent magnetization remains different from zero even at 𝐵 →0. The corresponding permanent magnetization is a function of the baryonic chemical potential 𝜇, decreasing up to zero as 𝜇 increases in the range of intermediate densities (312  MeV⩽𝜇⩽342  MeV) and then increasing from zero in the higher density interval 490  MeV⩽𝜇⩽550  MeV. We will show that this system’s ability to generate permanent magnetization, together with the existence of the axial anomaly, …

Pedagogy On Teaching A Totally Blind Student Physical & Historical Geology & Labs, Kenneth R. Neuhauser

SACAD: Scholarly Activities

Teaching the salient points of both physical and historical geology and labs to a totally blind student was accomplished through pre-planning, extra staff, daily preparation, low-cost supplies, teamwork, and at times ‘on-the-spot’ creativity.

Discrete Quantization On Spherical Geometries: Explicit Models, Computations, And Didactic Exposition, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

This article presents a comprehensive and analytically explicit study of optimal discrete quantization on spherical geometries equipped with the geodesic metric. Focusing on highly symmetric configurations on the unit sphere 𝕊2, we investigate three explicit models of discrete uniform distributions and derive closed-form expressions for their optimal quantizers and corresponding mean square quantization errors. (I) For N equally spaced points on the equator, we obtain exact error formulas for both divisible and non-divisible cases 𝑛 ∤𝑁, demonstrating that optimal Voronoi cells form contiguous arcs with midpoint representatives. (II) For two antipodally symmetric small circles at latitudes ±𝜙0, each with M …

A New Highly Oxygen-Deficient And Cubic Pr3Zro8-Δ For Intermediate-Temperature Thermochemical Production Of Oxygen And Hydrogen, Jiaxin Lu, Yongliang Zhang, Luhong Chen, Yan Chen, Ke An, Yasser Shoukry, Xinfang Jin, Zhi-Hao Wang, Sai Mu, Kevin Huang

Faculty Publications

Two-step thermochemical cycles offer a clean route for hydrogen and oxygen production but are typically limited to high temperatures exceeding 1500 °C. Lowering operating temperatures would enable the use of alternative heat sources such as industrial waste heat. Here, we report Pr₃ZrO₈ as a new enabling material for efficient intermediate-temperature redox cycling, with thermal reduction at 900 °C in argon and steam oxidation at 400 °C. Pr₃ZrO₈ adopts a face-centered cubic structure similar to CeO₂ but exhibits significantly greater oxygen deficiency, achieving average oxygen and hydrogen fluxes of 331.7 and 70.3 µmol·g-1, respectively, …

Re: Approval Letter For The Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report (Dated February 11, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Assessing The Geomechanical Modelling Of Underground Reservoir For Co₂ Storage Trapping Mechanisms, Bonavian Hasiholan, Mohammed Ali Farea, Elhassan Mostafa Abdallah, Sami Abdelrahman M. Yagoub, Yasir Mukhtar

Mathematical Modelling and Numerical Simulation with Applications

Effective carbon dioxide (CO₂) storage is essential for mitigating climate change amid increasing global greenhouse gas emissions. This study investigates the influence of geomechanics on CO₂ storage performance within carbon capture and storage (CCS), focusing on structural, residual, and solubility trapping mechanisms using a fully coupled modeling framework. Two numerical models, with and without geomechanical effects, are developed to evaluate impacts on reservoir behavior, CO₂ migration, and trapping efficiency. Each mechanism is analyzed separately and within an integrated framework to assess their combined contributions. Results indicate that geomechanical coupling increases reservoir pressure, reduces CO₂ flow velocity, enhances migration control, and …

A Coupled Fractional Thermistor System Demonstrating Existence, Uniqueness, And Simulation Results With Two-Point Boundary Conditions, Yahia Awad, Angela Khattar, Hussein Fakih, Sami Hammoud, Karim Amin

Mathematical Modelling and Numerical Simulation with Applications

This paper studies a coupled system of Caputo fractional differential equations of orders $\alpha, \beta\in(1,2]$, subject to two-point boundary conditions. The model incorporates nonlinear nonlocal integral terms that capture the memory-dependent interactions between thermal and electrical dynamics in thermistor materials. We rigorously establish existence via Schaefer’s fixed-point theorem and uniqueness through Banach’s contraction principle in a Banach space of continuous and continuously differentiable functions. Additionally, we analyze Ulam–Hyers stability to quantify solution sensitivity to initial perturbations. A numerical example highlights the effects of fractional orders and nonlocal feedback on system behavior. This work generalizes classical thermistor models and provides a …

E. The Michael Hofmann Seismic Sections - Part B, Michael H. Hofmann

1980 Flathead Lake Seismic Survey

This book contains a set  Images of the full seismic sections that were generated by Michael Hofmann in the early 2000s.  Links to the images follow the narrative by Robert W. Lankston.  This set of images relates to those lines that are not labeled on the track map in Figure 4C of the Kogan (1981) thesis.

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Promoting Water Security Of South-To-North Water Diversion Project For National Water Network, Quanfa Zhang, Guihua Liu, Chesheng Zhan, Xiaobo Ren

Bulletin of Chinese Academy of Sciences (Chinese Version)

The South-to-North Water Diversion Project is a crucial infrastructure initiative aiming at optimizing nation-wide distribution of water resources, meanwhile fostering sustainable economic and social development, and ensuring the well-being of the people. The project, with its extensive scope and high technical complexity, particularly in the middle and west routes located in biodiversity hotspots such as the Qinling Mountains and the Qinghai-Xizang Plateau, may alter local microclimates, potentially triggering meteorological disasters such as droughts, thunderstorms, and hail, along with secondary hazards. The implementation of the project may also disrupt the local hydrological conditions, disturb the balance of the existing atmospheric-vegetation-soil system, …

Uranium Chemical Compound Classification Using Sub-Images And Statistical Machine Learning For Nuclear Forensics, Lee C. Lambert, Brett J. Borghetti, Abigail A. Bickley

Faculty Publications

Uranium particle analysis from Scanning Electron Microscope (SEM) imagery is a crucial tool in nuclear forensics. The particle morphology lexicon proposed by Tamasi et al. in J Radioanal Nucl Chem 307, 1611–1619 (2016) follows a standardized, manual identification process to identify particle morphology features. The present work seeks to mirror this methodology using computer feature selection from the scikit-image Python library rather than human classification. Using a random forest classifier, a 56% overall uranium true positive classification accuracy (a 39.6% balanced classification accuracy) was achieved on a test set outperforming a naïve (chance) model by 48%. The methodology introduced splits …

D. The Michael Hofmann Seismic Sections -Part A, Michael H. Hofmann

1980 Flathead Lake Seismic Survey

A description of the process for constructing the full-length seismic sections from sets of scans of the paper field records made in the early 2000s by then PhD candidate Michael Hofmann.  Images of the full seismic sections follow the narrative by Robert W. Lankston.  This set of images relates to those lines labeled on the track map in Figure 4C of the Kogan (1981) thesis.

Unraveling Patch Size Effects In Vision Transformers: Adversarial Robustness In Hyperspectral Image Classification, Shashi Kiran Chandrappa, Sidike Paheding, Abel A. Reyes-Angulo

Michigan Tech Publications

Highlights: This work investigates the effect of spatial patch size on the classification accuracy and adversarial robustness of Vision Transformer-based architectures for hyperspectral image analysis. What are the main findings? Smaller patch sizes generally exhibit stronger adversarial robustness while maintaining comparable clean classification performance. Larger patch sizes tend to reduce robustness by increasing sensitivity to localized adversarial perturbations, with some dataset-dependent variations. What are the implications of the main findings? Spatial patch size is an important design consideration when applying Vision Transformers to hyperspectral image classification tasks. The findings provide practical guidance for informed patch-size selection in robust, deployment-aware transformer-based …

Magnetic Field Tuned Magnetic Order And Metamagnetic Criticality In Nonstoichiometric Ceaubi2, Halyna Hodovanets, Hyunsoo Kim, Tristin Metz, Yasuyuki Nakajima, Christopher J. Eckberg, Kefeng Wang, Jie Yong, Shanta R. Saha, David Graf, Nicholas P. Butch, Thomas Vojta, Johnpierre Paglione

Physics Faculty Research & Creative Works

We present a detailed study of magnetization, resistivity, heat capacity, and x-ray and neutron powder diffraction measurements performed on single crystals of nonstoichiometric CeAuBi₂, Au deficiency 18%, a strongly correlated antiferromagnet with Néel temperature T_N = 13.2 K. Field-dependent magnetization measurements reveal a large magnetic anisotropy at low temperatures with an easy axis along the crystallographic c axis, in which direction a spin-flop transition exhibits strong features in magnetization, specific heat, and resistivity at H_c = 75 kOe. The constructed temperature-field phase diagram connects this transition to the suppression of magnetic order, which evolves from a …