Digital Commons Network^™

Bp-Kan-Based Inversion Imaging For Borehole Resistivity Method And Its Application, Xu Zhongzhong, Yin Longlong, Cheng Jiulong, Xu Jinpeng, Lu Cunjin, Zhao Hongpeng

Coal Geology & Exploration

Objective In the monitoring of coal seam mining-induced deformation and failure of surrounding rocks, the borehole resistivity method stands out due to its capacity for dynamic, three-dimensional (3D) full-space measurements. However, conventional resistivity inversion for the method is generally carried out using the least squares algorithm, leading to limited accuracy in practical engineering. In recent years, neural network-based inversion has demonstrated the potential for addressing this challenge, while its performance is yet to be further improved. Methods In this context, inversion imaging based on a back propagation-Kolmogorov-Arnold network (BP-KAN) was proposed for the borehole resistivity method, aiming to accurately monitor …

Three-Dimensional, Collaborative Detection Approach For Fire Zones In Shallowly Buried Coal Seams And Its Application, Fan Kaixiang, Hu Xiangming, Hong Haibo, Dong Hao, Yu Shijian, Wei Zhengrong, Guo Yongxiang

Coal Geology & Exploration

Objective Fire zones in shallowly buried coal seams have long restricted safe and efficient coal mining due to their considerably hidden and hazardous nature. However, individual methods for fire source detection are susceptible to geological conditions and ambient noise, suffering from limited detection dimensions and the presence of technical blind spots. Therefore, they fail to accurately localize hidden fire sources in shallow coal seams. Methods This study proposes a three-dimensional, collaborative multi-source detection approach that combines the self-potential (SP) method, the radon measurement (Rn) method, electrical resistivity tomography (ERT; also referred to as high-density resistivity method), and the transient electromagnetic …

Design Of An Intelligent Failure Diagnosis And Early Warning System For Tunnel Drilling Rigs In Coal Mines, Song Haitao, Zhang Naiwen, Han Jian, Wu Min

Coal Geology & Exploration

Objective In coal mines, harsh environments and complex geological conditions underground lead to frequent failures of tunnel drilling rigs. However, conventional techniques for failure diagnosis and early warning suffer from limitations in diagnostic accuracy, real-time performance, and interpretability. Therefore, these techniques are insufficient for both the rapid identification of the anomalous status of tunnel drilling rigs and the early warning of their potential failures. Methods Considering the complex underground environments in coal mines, this study developed an intelligent failure diagnosis and early warning system for tunnel drilling rigs in coal mines, placing a particular emphasis on key technologies for failure …

A Method For Optimizing The Digital Twin Model Of The Mechanical-Electro-Hydraulic System Of Cantilever Tunnel Boring Machines, Wang Yan, Jia Zeyu, Zhao Yihui, Wei Shirui, Zhang Xuhui, Zhao Youjun, Han Xiao

Coal Geology & Exploration

Objective Cantilever roadheaders represent roadway tunnelling equipment that integrates the deep coupling of mechanical, electrical, and hydraulic systems, and their control accuracy directly determines the forming quality of roadways.Methods Cantilever roadheaders involve nonlinear mechanical motion, hydraulic control, and cutting load, rendering it challenging to establish accurate control models. Using the philosophy of digital twin modeling, this study developed a method for optimizing the digital twin model of the mechanical-electro-hydraulic system of cantilever roadheaders based on virtual-physical consistency evaluation. Specifically, a digital twin model of the mechanical-electro-hydraulic system was developed using multi-domain co-simulation between AMESim and Simulink. This model allows …

Research Progress On Effect Of Salt On Pickling Vegetable Quality, Qi Kai, Li Ziyan, Cheng Wenbo, Fan Mingcong, Zuo Daoxi, Li Yan, Wang Li, Zhang Wenbin

Food and Machinery

Vegetable pickling is a time-honored food preservation and processing method, in which salt (primarily sodium chloride) plays an irreplaceable and core role. This paper systematically reviews the multidimensional effects of curing salt on vegetable quality. It comprehensively covers preservation mechanisms, textural transformations, the formation and conversion of flavor compounds, color stability, and nutritional value changes. Specifically, this article analyzes the decisive role of salt concentration gradients in final product characteristics. Furthermore, it examines the challenges posed by the low salinity, including microbial safety risks, textural deterioration, and flavor imbalances, while proposing corresponding strategies.

Discovery And Implications For Ore Prospecting Of Gravitational Gliding Structures In The Lutang Coal-Based Graphite Mining Area, Hunan Province, China, Xiao Jincheng, Lu Jiang, Liu Zhiyu, Zhu Linying, Xiao Haibin, Li Long, Xiao Jing

Coal Geology & Exploration

Background Data from previous exploration and studies indicate that the Lutang coal-based graphite mining area in Hunan Province falls within the Lutang-Shatian synclinorium in terms of tectonic location, with coal-bearing strata dominated by the upper member of the Upper Permian Longtan Formation. Influenced by the intrusion of granites, coal seams adjacent to the Qitianling pluton on the eastern flank of the mining area have undergone contact metamorphism, forming coal-based graphite. Previous exploration results suggest that the Qitianling pluton has a maximum burial depth measured at an elevation of 0 m or less. However, with constant underground exposure in mines, previous …

Evaluation Of Deep High-Quality Reservoirs Based On The Fuzzy Analytic Hierarchy Process And The Entropy Weight Method: A Case Study Of The No. 8 Coal Seam In The East-Central Ordos Basin, Yan Ronghui, Xu Hao, Hu Jianling, Li Xiaotian, Jiao Pengshuai, Huang Daojun, Chen Shida, Wu Xiaozhuo

Coal Geology & Exploration

Objective Significant breakthroughs have been achieved in the exploration and exploitation of coalbed methane (CBM) in the deep No. 8 coal seam within the east-central Ordos Basin. However, a comprehensive quantitative evaluation system at the regional scale is yet to be established for reservoirs in the No. 8 coal seam. Methods Based on logs, coal quality, and measured physical property data from over 270 wells in the east-central Ordos Basin, this study developed a comprehensive evaluation system for deep coal reservoirs using the fuzzy analytic hierarchy process combined with the entropy weight method. Specifically, the evaluation system consisted of nine …

Co2 Fracturing Stimulation Technology For Low-Yield Directional Coalbed Methane Wells And Its Applications, Zhang Junsheng, Cao Yunxing, Wang Li, Wang Zhongbin, Yang Baige, Shi Bin, Cao Yongsen, Xu Fengyi

Coal Geology & Exploration

Background In China, low-yield coalbed methane (CBM) wells represent a high proportion of approximately 57% (over 12400 wells), generally encountering challenges such as low pressure, dry reservoirs, and near-wellbore formation damage and blockage. Conventional hydraulic fracturing is prone to induce water blocking damage, while treatments such as acidification offer only limited blockage-removing radii. Therefore, existing techniques are insufficient to achieve blockage removal and permeability enhancement while avoiding reservoir damage. Exploring efficient waterless stimulation technologies suitable for these low-yield wells is of great significance for increasing CBM production and advancing the CBM industry. Methods This study investigated directional wells PXC-03 and …

Helium Origin And Primary Factors Controlling Helium Enrichment For Bauxite Gas Reservoirs In The Longdong Area, Ordos Basin, Chen Keyu, Wang Xiaofeng, Liu Wenhui, Zhang Dongdong, Li Xiaofu

Coal Geology & Exploration

Objective Significant breakthroughs have been achieved in the exploration of bauxite gas reservoirs in the Taiyuan Formation, Longdong area, Ordos Basin. Bauxites are generally considered to hold great helium generation potential due to their relatively high uranium (U) and thorium (Th) contents. However, there remains a lack of quantitative studies on their actual contribution to helium abundance in natural gas in the area. Methods To determine dominant helium source rocks and mechanisms behind helium enrichment, this study investigated the bauxite gas reservoirs within the Taiyuan Formation in the Longdong area. Through analyses of the composition, carbon isotopes, and noble gas …

Water Hazards In Thick Floor Aquicludes For Coal Mining Above Confined Aquifers In North China-Type Coalfields: Patterns, Mechanisms, And Prevention And Control, Meng Haopeng, Yin Shangxian, Lian Huiqing, Yin Huichao, Hou Enke, Zhang Yi’An, Wang Zhuo, Jin Zidong, Cai Xiangjun, Cao Min, Wang Jianguang

Coal Geology & Exploration

Background Water hazards in coal seam floors represent a core challenge restricting the exploitation of deep coal resources in North China-type coalfields. As coal mining extends to greater depths, previous studies and experience exhibit limited applicability in the pattern classification, mechanism interpretation, and prevention and control of water hazards in thick floor aquicludes. Therefore, there is an urgent need to make breakthroughs and improvements in these three aspects.Methods Using several methods, including case-based induction, theoretical analysis, numerical simulation, and technical summary, this study developed a classification system based on parallel multiple criteria for floor water hazards by combining available …

Assessing Fault-Induced Floor Water Inrushes Based On Improved Water Inrush Coefficients, Jiao Bin, Tan Wenfeng, Li Hongsheng, Chen Juntao, Gao Hongbing, Zhao Zizhang, Wu Fangcan

Coal Geology & Exploration

Background As coal mining in mines constantly expands to greater depths, water hazards in the Ordovician limestone aquifers of coal seam floors pose a serious threat to the mining of coal seams in lower formations. Fault reactivation represents a primary factor inducing water inrushes. However, the original water inrush coefficient (T = p/M) suffers from certain limitations when used to assess the water inrushes in areas with faults. Methods Four models of floor water inrushes induced by non-penetrating faults (i.e., concealed hydraulically conductive faults, concealed isolated faults, and exposed faults) and penetrating faults were constructed, and …

Numerical Simulations And Dispersion Analysis Of 3d In-Seam Waves Based On Finite Difference Method On Curvilinear Grids, Liu Dan, Ren Zhiming

Coal Geology & Exploration

Background With the comprehensive advancement in intelligent coal mine construction, creating high-precision, transparent geological models of coal seams and their surrounding strata has emerged as a prerequisite for intelligent coal mining. The accurate identification of concealed geological anomalies, such as folds and faults, within coal seams represents a key challenge in safe coal mining. In-seam seismic exploration has become an important approach to detecting underground concealed structures owing to its advantages, including a considerable detection distance along coal seams, high precision, pronounced frequency dispersion effects, and facilitating the identification of waveform signatures. However, conventional methods for seam wave simulation are …

Normal Tissue Objective Versus Manual Optimizer Rings In Eclipse For Multiple Brain Metastases Radiosurgery, Shelby David

Masters Projects

Purpose

To compare the dosimetric performance of manually generated optimizer rings and the Eclipse Normal Tissue Objective (NTO) for single-isocenter volumetric arc therapy (VMAT) planning of patients with multiple brain metastases treated with stereotactic radiosurgery (SRS).

Methods

A retrospective treatment planning study was performed using ten patients previously treated with SRS for three or more brain metastases. For each patient, three VMAT plans were generated using identical beam geometry. The three plans consisted of manually generated optimizer rings, NTO alone, and a hybrid approach that incorporated both optimization strategies. Plans were evaluated using conformity index (CI), gradient measure (GM), minimum …

A Machine Learning Approach For Water Quality Assessment In The Lower Rio Grande Valley Watershed, Saika Nowshin Nowrin, Chu-Lin Cheng, Jungseok Ho, Jinwoo An, Fatemeh Nazari

Civil Engineering Faculty Publications

Water quality analysis plays an essential role in maintaining the health and sustainability of river ecosystems, especially in semi-arid regions like the Arroyo Colorado Watershed in South Texas. Since the river is a vital source of water supply for local communities, agriculture, and wildlife, it faces significant challenges and pollution from land use changes, climate variation, and agricultural runoff. Continuous monitoring and assessment of water quality parameters and their temporal variability are essential to ensure the drinking water supply and aquatic ecosystem health. However, comprehensive laboratory-based water quality investigations are often constrained by higher costs, logistical complexity, and limited manpower. …

An Infinite Number Of Roads Diverged In A Wood: Robert Heinlein’S Maximalist Road Trip In The Number Of The Beast, Patrick Julian

Mythcon

Robert Heinlein, Grand Master of Speculative Fiction, was born in Butler, MO (one hour north of Route 66), raised in Kansas City, and lived much of his early adult life in Los Angeles, the westernmost terminus of Route 66. Given this proximity to the Mother Road, it’s no surprise that Heinlein spent a considerable portion of his career writing about various versions of the Road Trip, whether it was taken via foot, horse-drawn carriage, automobile or spaceship. The Roads Must Roll, his 3rd published short story (1940), name checks Route 66, while many of his early works of juvenile …

Unf Student Research Symposium Conference Program Summer 2026, Office Of Undergraduate Research, Unf Graduate School

UNF Student Research Symposium

The Summer UNF Student Research Symposium is a multi-disciplinary conference where students showcase their research and creative projects. The symposium, hosted by the UNF Office of Undergraduate Research in partnership with the UNF Graduate School and the College of Arts and Sciences Dean's Office, is a component of the Student Research Symposium series, which provides a venue for students to present their research projects to the campus community.

Culmination Of The Arts And Stem To Enhance Creativity And Promote Learning, Kaleigh Evans

Physics and Astronomy Summer Fellows

In this work, we investigate the results from a survey, issued to a course in “Stained Glass” (n= 23 students). Major findings include that the introduction of a problem-based learning (PBL) course in the arts of stained glass may support high demand skills such as interdisciplinary conceptual learning as well as soft skills such as scientific confidence, interdisciplinary transfer, and collaborative learnings. A journal paper draft was completed and will be submitted this Fall. This summer, work was also done to establish a guide to modeling and 3D printing to help establish and grow a makerspace on campus for use …

Minerals Rock!: Improving Audience Engagement And Interest In Stem Through Enhancement Of The In-Person And Online Mineral Collection At Ursinus College, Juliette Lyons

Environment and Sustainability Summer Fellows

Museums are a vital source of educational resources for the general public. They provide information on a variety of topics and disciplines and encourage visitors to be excited about and engaged in learning something new. As we work to comprehend key topics such as climate change, it is especially important for the broader public to better understand science, including geology. While the geological collection at Ursinus, Pieces of Earth’s History, is not in a museum, implementing methods that museums use can improve the reception of the collection. Through the application of research gathered through articles, journals, books, and talking with …

Can Machines Testify? Llms And The Boundaries Of Testimonial Epistemology, Michael J. Cummins

Philosophy Summer Fellows

As Large Language Models and AI chatbots become increasingly prevalent, pressing questions are raised about whether beliefs formed through LLM interactions carry the same epistemic weight as beliefs formed through human testimony. How we answer this question depends on whether LLMs can function as testifiers, a role which is typically assumed to require a human or human-like agent. This assumption has gone largely unexamined, yet its consequences are significant: if LLM outputs cannot constitute testimony, then the justificatory tools of testimonial epistemology are unavailable to any beliefs formed through LLM interaction. This paper challenges that assumption. It first argues that …

Identity-Dependent Externalities Can Mitigate Overbidding In Tullock Contests: Theory And Evidence, Dan Kovenock, Jian Song, Francesco Trevisan

ESI Working Papers

We investigate how identity-dependent externalities infuence bidding behavior in Tullock lottery contests. While experimental studies of standard contests, in which losers are indiferent to the winner’s identity, consistently document overbidding, the role of identity-dependent preferences remains less explored. We address this gap by frst showing that the class of three-player Tullock lottery contests with identity-dependent externalities considered here can be mapped into a standard Tullock lottery contest with appropriately chosen prize valuations and endowments, yielding identical Nash equilibrium predictions. We then use this mapping to design a laboratory experiment that directly compares the two “equilibrium-equivalent” contest formats. In our three-player …

Whole-Life Carbon–Cost–Circularity Optimization For Ai-Era Data Centers: A Robust Multi-Objective Framework Under Carbon Pricing Uncertainty, Arezou Shafaghat, Da Hu, Ali Keyvanfar

Faculty Articles

The explosive growth of artificial intelligence workloads has triggered unprecedented data center construction, yet environmental assessment remains focused on operational energy efficiency. This paper introduces DC-WLC3O, a framework that simultaneously optimizes three objectives across the full data center lifecycle: whole-life cost, whole-life carbon, and material circularity index. The framework integrates cradle-to-cradle lifecycle assessment with dynamic material flow analysis, employing a four-layer analytical stack: Monte Carlo simulation with Latin Hypercube Sampling and Iman–Conover rank correlation; NSGA-III tri-objective Pareto optimization; Sobol’ variance-based global sensitivity analysis; and Many-Objective Robust Decision Making (MORDM). The framework evaluates 192 design configurations for a 30 MW hyperscale …

Board Of Trustees Agenda, Jul. 24, 2026, Indiana State University Board Of Trustees

Board of Trustees

Indiana State University Board of Trustees meeting agenda

Entity Labels Are Not Entity Signals: A Framework For Observable Relevance In Document Re-Ranking, Utshab Kumar Ghosh, Shubham Chatterjee

Computer Science Faculty Research & Creative Works

Entity-aware document retrieval uses query-associated entities as ranking signals, assuming that semantically relevant entities are also useful retrieval signals. We show this assumption is insufficient - and explain why. Unlike terms, which are ground-truth observations, entity links are hypotheses produced by an imperfect linker: an entity can be topically central yet provide no discriminative signal if the linker fires indiscriminately across relevant and non-relevant documents. We formalize this as a distinction between Conceptual Entity Relevance (CER) - whether an entity is topically related to a query - and Observable Entity Relevance (OER) - whether its observed presence in a collection …

Who Do You Think You’Re Talking To? A Longitudinal Study Of How Disclosed Partner Identity Shapes Relational Communication With Ai Among College Students, Vito Anthony Borio

Electronic Theses and Dissertations 2020 - Present

This study presents a longitudinal, two-condition, between-subjects experiment in which partner identity is disclosed as either human or AI in text-based chat; however, all participants (N = 60) interacted with the same chatbot. Informed by both Social Information Processing Theory (SIPT; Walther, 1995) and the Computers Are Social Actors Paradigm (CASA; Nass & Moon, 2000), this design draws on the former’s longitudinal measurement tradition to empirically test whether its predictions hold, using the latter as both a framework and procedure for investigating chatbot interactions. The findings inform both theories, indicating that perceived partner identity significantly affects perceptions of relational …

Sustainable Consumer Behavior Modeling: A Complex-Systems Approach To Neuromarketing, Preethi Nanjundan, Nupoor Sanjay Bhute, Ragini Topre, Lijo Thomas

Northeast Journal of Complex Systems (NEJCS)

This study examines the application of complex-systems modeling to neuromarketing data for gaining deeper insights into the mechanisms underlying sustainable consumer behavior. It investigates how neural and biometric responses, interpreted through a systems-based perspective, can uncover dynamic interactions, feedback mechanisms, and emergent behavioral patterns influencing sustainable purchase decisions. The research explores the impact of sustainability-oriented marketing stimuli on long-term behavioral intentions by emphasizing the interconnected roles of cognitive processing, emotional engagement, implicit associations, and collective consumer dynamics. Through simulation-based modeling and structural analysis, the study demonstrates how subconscious neural responses and affective mechanisms mediate the relationship between marketing interventions, consumer …

Data For Meta-Analysis Of Personalized Adaptive Learning In Undergraduate Mathematics, Debbie Hahs-Vaughn, Patsy Moskal, Katiuscia Teixeira, Tammy Muhs, Oluwaseun Farotimi, Christina Carassas, Corinne Bishop

Research Data and Datasets

No abstract provided.

System And Method For Designated-Verifier Non-Interactive Zero-Knowledge Arguments Using Batch Arguments, Navid Alamati, Suvradip Chakraborty

Defensive Publications Series

The present disclosure provides a system and method for generating and verifying designated-verifier non-interactive cryptographic arguments. The method includes generating a common reference string (CRS) and verifier-specific cryptographic information including a designated verifier secret key, and receiving a statement representing an instance of a computational relation and a corresponding witness. Commitment information and encrypted information are generated based on the statement and the witness using one or more commitment operations and one or more encryption operations. A non-interactive batch proof is generated to collectively establish validity of the commitment information and the encrypted information. A designated-verifier argument package comprising the …

Design And Structural Architecture Of A Non-Equilibrium Hydrothermal Liquefaction Reactor Utilizing Multi-Stage Wave-Field Catalysis And Fluidized Acoustic Boundary Transport, Christopher L. Eckes

Defensive Publications Series

This technical design paper presents the formalized architecture for a continuous-flow, process-intensified Hydrothermal Liquefaction (HTL) system designed to convert heterogeneous, highly viscous organic waste streams—such as municipal sewage sludge, microplastics, and halogenated industrial wastes—into drop-in synthetic biocrude and valuable chemical fractions.

Legacy HTL systems suffer from severe, interlocking mechanical liabilities: thermal boundary-layer coking, flow stagnation, extreme chloride/fluoride corrosion, and rapid catalytic deactivation via structural sintering. This architecture systematically bypasses these limits by abandoning static reactor geometry and internal dynamic mechanical components.

The physical configuration relies on a vertical, gravity-assisted cascade of high-pressure, un-equilibrated spherical reaction vessels constructed from high-performance alloys …

Mapping Media Literacy Assessment: A Systematic Review To Connect The Dots, Lara Azar, Casey Frechette, Hafsa Zia, Joy Amulya

Journal of Media Literacy Education

The goal of this study was to address persistent challenges in assessing media literacy by reviewing assessments developed between 2011 and 2020. We combined landscape analysis, research synthesis, and grounded theory to select assessments, identify key attributes, iteratively code, analyze, and create an integrated synthesis of approaches to media literacy assessments. The analysis classified media literacy constructs by learning dimension (knowledge, skills, attitudes, behaviors) and participation mode (consumption, engagement, creation). The results showed that while most assessments focused on consumption-oriented constructs, engagement- and creation-oriented constructs were also included. Assessments primarily served three research purposes: evaluating media literacy levels in populations, …

Automated Media: Challenges And Opportunities For Media Literacy Education, Arnaud Claes, Jerry Jacques, Antonin Descampe, Victor Wiard

Journal of Media Literacy Education

This paper offers a theoretical reflection on the evolving landscape of automated media, focusing on how automation and so-called Artificial Intelligence (AI) are reshaping traditional media-related practices and the competences required for media literacy. It examines how automated media technologies, such as recommendation algorithms and generative AI, might reshape the critical skills necessary to navigate a complex digital ecosystem. By framing AI-driven media practices through a social-action perspective and treating media as human activities, we argue that media literacy models should encompass competences related to the operation of computational automata, particularly through the management of inbound and outbound information flows. …