Digital Commons Network^™

Influence Mechanisms Of Dynamic Metamorphism On The Evolution Of Micro/Nano Pore Structures In Tectonically Deformed Coals, Liu Hewu, Lyu Xiaoxue, Hou Chenliang, Xiong Zuopeng

Coal Geology & Exploration

Objective Micro/nano pore structures in coals act as a significant space for gas occurrence. Exploring the evolutionary mechanisms of micro/nano pore structures in tectonically deformed coals (TDCs) under the influence of dynamic metamorphism assists in gaining a deep understanding of the mechanisms underlying coal and gas outbursts. Methods Using CO₂ adsorption experiments, Fourier transform infrared (FTIR) spectroscopy, and molecular dynamics simulations, this study investigated the evolutionary characteristics and mechanisms of micro/nano pore structures in different TDCs occurring within the No.72 coal seam of the Qi’nan Coal Mine in Suzhou Province. Results and Conclusions The results indicate that with enhanced …

Failure Depths Of Stope Floors Under Dynamic Loading Induced By Roof Breaking, Huang Qisong, Xu Bo, Feng Junjun, Lin Xiaofei, Cheng Jiulong, Peng Jun

Coal Geology & Exploration

Objective Accurately assessing the failure depths of stope floors is crucial for assessing floor water inrush risks. Conventional theoretical models for calculating the failure depths generally merely consider static loads from the support pressure and confined water's pressure in stopes, leading to large deviations between calculation results and actual situations. Therefore, constructing a more practical computational model that comprehensively considers the coupled effects of multiple force sources on the failure of deep floors can provide a scientific basis for the effective prevention and control of water hazards in deep coal seam floors. Methods Based on the dynamic elasticity theory and …

Construction And Correction Of A 3d Digital Twin For A Complex Gangue-Bearing Coal Seam, Zhang Meichen, Zhao Lijuan, Wang Yadong, Zhang Kai

Coal Geology & Exploration

Objective 3D digital twin for complex gangue-bearing coal seams are designed to achieve an information-based description of physical coal seams and faithfully map their virtual forms. digital twin is identified as a prerequisite for exploring the efficient cutting of intelligent shearers while providing an effective data guarantee for achieving unmanned mining. Methods Using data on samples from the mining face of coal seam 17 in the Yankuang Energy Group Co., Ltd. Shandong Province, this study proposed a methodology that integrates more information about the geological structural conditions of coal seams. Specifically, digital twining of iron sulfide nodules was performed using …

A Calculational Model For 3d Fault Complexity Based On Curvature Analysis And Fractal Dimensions, Yan Junsheng, Liu Zaibin, Fan Tao, Yang Hui, Liu Wenming, Du Wengang, An Lin, Liu Chenguang, Wang Xiaohui

Coal Geology & Exploration

Objective and Methods Faults are identified as one of the most threatening geological structural factors among hidden disaster-causing factors in coal mines. However, the 3D quantitative assessment of them remains challenging. Considering that existing quantitative indicators fail to fully reflect fault morphologies and there is a lack of 3D methods, this study proposed a calculational model for 3D fault complexity based on curvature analysis and fractal dimensions. This model improved the morphologies of traditional measurement volumes of fractal dimensions by employing the Delaunay tetrahedralization algorithm, thus effectively reducing the invalid values in calculating the 3D fractal dimensions of faults. Moreover, …

Exploration Of The Impacts Of Cement Sheath On Casing Stress Based On The Arching Effects Of Formations, An Fengchen, Miao Zhibo, Meng Siwei, Wei Ziying, Zhang Xiao, Zeng Jiaming, Wang Xiaohua

Coal Geology & Exploration

Objective With the growth in the demand for natural oil and gas and the technological progress of their production, the oil and gas well depths have been constantly setting new records. The increase in the depth corresponds to sharply increasing in-situ stress, leading to increasingly severe damage to the casing of ultradeep oil and gas wells. To enhance the bearing capacity of the casing under high in-situ stress, high-strength casing with a large wall thickness is typically employed, a measure which has been proved, however, less effective. Methods This study established a finite element model of the casing-cement sheath-formation system …

Hydrochemical Characteristics And Component Sources Of Water In Underground Reservoirs In The Daliuta Coal Mine, Zhang Haitao, Jiang Binbin, Zhang Haiqin, Li Peng, Wu Min, Hao Jingwei, Hu Yutian

Coal Geology & Exploration

Objective Underground reservoirs in coal mines are capable of storing and purifying mine water. A deep understanding of the hydrochemical characteristics and formation mechanisms of water in underground reservoirs is identified as an important prerequisite for large-scale development of technologies for mine water treatment. Methods This study investigated the underground reservoirs in the Daliuta Coal Mine within the Shendong area by testing and analyzing their influent and effluent water samples. Using methods such as the ion ratio method, multivariate statistical analyses (e.g., correlation analysis and principal component analysis (PCA)), and the positive matrix factorization (PMF) model, this study delved into …

Beyond Average Effects In Education Research Syntheses: Explaining Heterogeneity Of Concept Mapping Research In Science Education Through Meta-Regression Modeling, Aaron Wenger

Dissertations

Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials, are not able to establish generalized claims. Because primary studies vary over dozens of variables (e.g., grade, subject, duration) simply conducting additional primary studies cannot change this. Furthermore, the informal assessments of primary studies common in literature reviews are unable to resolve certain challenges (e.g., publication bias) that are described in the emerging field of meta-research. These challenges require …

Artificial Intelligence In Fetal And Pediatric Echocardiography, Alan Wang, Tam T Doan, Charitha Reddy, Pei-Ni Jone

Faculty, Staff and Students Publications

Echocardiography is the main modality in diagnosing acquired and congenital heart disease (CHD) in fetal and pediatric patients. However, operator variability, complex image interpretation, and lack of experienced sonographers and cardiologists in certain regions are the main limitations existing in fetal and pediatric echocardiography. Advances in artificial intelligence (AI), including machine learning (ML) and deep learning (DL), offer significant potential to overcome these challenges by automating image acquisition, image segmentation, CHD detection, and measurements. Despite these promising advancements, challenges such as small number of datasets, algorithm transparency, physician comfort with AI, and accessibility must be addressed to fully integrate AI …

Changes In Climate And Their Implications For Cattle Nutrition And Management, Bashiri Iddy Muzzo, R. Douglas Ramsey, Juan J. Villalba

Wildland Resources Faculty Publications

Climate change is a global challenge that impacts rangeland and pastureland landscapes by inducing shifts in temperature variability, precipitation patterns, and extreme weather events. These changes alter soil and plant conditions, reducing forage availability and chemical composition and leading to nutritional stress in cattle. This stress occurs when animals lack adequate water and feed sources or when these resources are insufficient in quantity, composition, or nutrient balance. Several strategies are essential to address these impacts. Genetic selection, epigenetic biomarkers, and exploration of epigenetic memories present promising avenues for enhancing the resilience of cattle populations and improving adaptation to environmental stresses. …

Analytical Study On The Intensity Of Surface Urban Heat Island (Suhi) In Kaduna State, Paul Onibaba, Kolade Victor Otokiti, Oluwabukola Grace Ademola, Temitope Mercy Akanle

CSID Journal of Infrastructure Development

Urbanization and climate change are significant drivers of rising Land Surface Temperature (LST) and the formation of Urban Heat Islands (UHIs), which have emerged as pressing environmental challenges in recent decades. This study examines the relationship between Land Use/Cover (LU/C) indices and LST in Kaduna, Nigeria, using multi-temporal Landsat imagery spanning five periods from 2001 to 2021. LST values were derived from the Landsat thermal bands, while LU/C dynamics were identified using the Maximum Likelihood Classifier algorithm. LU/C indices—including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil-Adjusted Vegetation Index …

External Financing, Governance, And Infrastructure Development: Evidence From Sub-Saharan Africa, Afees Oluwashina Noah, Oladipo Olalekan David

CSID Journal of Infrastructure Development

Infrastructure development in Sub-Saharan Africa (SSA) requires diversified financing strategies to address a significant funding shortfall that cannot be met by domestic resources alone. This research evaluates the contributions of external financing—namely Official Development Assistance (ODA), Foreign Direct Investment (FDI), and Private Participation in Infrastructure (PPI)—in complementing domestic efforts to advance infrastructure in SSA. It examines their influence, alongside governance, on the development of physical and social infrastructure components. Employing methodologies such as Panel-Corrected Standard Errors (PCSE) and System Generalized Method of Moments (SGMM) across 43 SSA economies from 2000 to 2022, the analysis reveals that FDI substantially enhances physical …

Digital Twin And Cybersecurity In Additive Manufacturing, Lidong Wang

Journal of Cybersecurity Education, Research and Practice

Additive manufacturing (AM) has been applied to automotive, aerospace, medical sectors, etc., but there are still challenges such as parts’ porosity, cracks, surface roughness, intrinsic anisotropy, and residual stress because of the high level of thermal gradient. It is significant to conduct the modeling and simulation of the AM process and achieve quality products. Digital Twin (DT) can help AM with forecasting defects/errors through simulation and real-time process monitoring. DT is a concept of Industry 4.0, and its digital structure reflects the real-time behaviors of a cyber-physical or physical system. This paper introduces the progress of DT applications in AM, …

System And Method For Online Multivariate Anomaly Detection And Localization, Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz

USF Patents

A system and method for real-time detection of anomalies in high-dimensional systems. Various embodiments detect anomalies quickly and accurately to allow adequate time for appropriate countermeasures to be implemented. The sequential and multivariate anomaly detection method scales well to high-dimensional datasets using a nonparametric and semi-supervised approach that trains only on nominal data.

Determination Of The Kinetic Parameters Of Cholesterol Oxidation Using Cholesterol Oxidase From Streptomyces Sp., Meka Saima Perdani, Heri Hermansyah, Muhamad Sahlan, Dwini Normayulisa Putri, Teguh Pambudi, Anggi Khairina Hanum Hasibuan

Makara Journal of Technology

Cholesterol oxidase (CO) was successfully produced from Streptomyces sp. via the submerged fermentation method, and 69 U/mL enzyme activity was obtained. This study aimed to determine cholesterol oxidation kinetics and the production of CO as a catalyst. The enzyme was diluted to 0.15, 0.075, and 0.00375 U/mL for the oxidation reaction. The substrate was also prepared in three concentrations: 3.23, 6.46, and 12.93 mM. The optimization of conditions for enzymatic cholesterol oxidation was investigated through measurement of the effect of initial cholesterol and enzyme concentrations. Cholesterol concentration was rapidly measured via high-performance liquid chromatography (HPLC). The kinetics of CO were …

An Ontology-Based Approach For Understanding Appendicectomy Processes And Associated Resources, Nadeesha Pathiraja Rathnayaka Hitige, Ting Song, Steven J Craig, Kimberley J Davis, Xubing Hao, Licong Cui, Ping Yu

Faculty, Staff and Student Publications

Background: Traditional methods for analysing surgical processes often fall short in capturing the intricate interconnectedness between clinical procedures, their execution sequences, and associated resources such as hospital infrastructure, staff, and protocols.

Aim: This study addresses this gap by developing an ontology for appendicectomy, a computational model that comprehensively represents appendicectomy processes and their resource dependencies to support informed decision making and optimise appendicectomy healthcare delivery.

Methods: The ontology was developed using the NeON methodology, drawing knowledge from existing ontologies, scholarly literature, and de-identified patient data from local hospitals.

Results: The resulting ontology comprises 108 classes, including 11 top-level classes and …

Muqarnas In Damascus: A Forgotten Treasure’S History, Inception And Geometry, Nahed Jawad Chakouf

All Works

The architecture of the Islamic world encompasses both religious and secular buildings that are unified by the use of a common architectural language, which includes architectural elements such as minarets, domes and arches, ornamental details, and vaulting with the use of muqarnas. The study provides a broad overview of the development of Islamic architecture, focusing on Damascus, the early Islamic period, the mid-Islamic period and the late Islamic period. The late Islamic period includes Ottoman art, with architecture influenced by Byzantine, Persian, Armenian, and Mamluk artefacts, but differs from their predecessors. The researcher undertook a geometric analysis of the muqarnas …

Perceptions Of Early Childhood System Partners On Career Pathways, Melissa Larson Busby

Walden Dissertations and Doctoral Studies

Researchers have found high-quality early childhood teachers are crucial to high-quality programs for young children. Despite this, there is a significant need for more highly qualified teachers in a southwestern state. The purpose of the qualitative study was to explore the perceptions of early childhood education (ECE) systems partners in one southwestern state regarding the current systems, structures, and policies related to career pathways through the high school, community college, and university levels. The conceptual framework for this study was based on von Bertalanffy’s general systems theory and systems thinkers such as Senge, who detail the complex interactions between systems …

Geneseo Authors Celebration 2024, Milne Library

Geneseo Authors Celebration

Milne Library began a tradition of celebrating faculty authorship in 2009 with a series of workshops and a celebration in collaboration with the Teaching and Learning Center. Over the years it has evolved to more accurately reflect on the variety of academic and creative work done here at Geneseo. The annual Geneseo Authors Celebration is an opportunity for the Library and the campus to celebrate the faculty and truly acknowledge the time and effort that faculty have invested into creating exceptional works that contribute to the scholarly discussions taking place in their disciplines.

In late fall 2024, when the Geneseo …

Effect Of Different Pressures On Polymer Flow At A Contraction Path: A Real-Time Numerical Approach, Muhammad Afiq Azmi, Zulkifli Mohamad Ariff, Raa Khimi Shuib, Arjulizan Rusli, Ku Marsilla Ku Ishak, Mohamad Danial Shafiq, Zuratul Ain Abdul Hamid, Zulfirdaus Zakaria, Muhamad Husaini Abu Bakar, Muhammad Khalil Abdullah

Makara Journal of Technology

The complexity of polymer flow through a contraction arises from the simultaneous occurrence of shear and elongational strains near the entrance of the contraction path (die). Although this phenomenon has been extensively studied, the effect of plunger motion on the flow toward the contraction path remains underexplored. This study investigated the rheological behavior of thermoplastic polymers at a contraction flow path to enhance the understanding of their flow and rheological behavior, including variations in velocity, pressure, viscosity, and shear rate under varying loads. Polypropylene (PP), a semicrystalline polymer with a low melting point, was used as the test material. The …

Perceptions Of Early Childhood System Partners On Career Pathways, Melissa Larson Busby

Walden Dissertations and Doctoral Studies

Researchers have found high-quality early childhood teachers are crucial to high-quality programs for young children. Despite this, there is a significant need for more highly qualified teachers in a southwestern state. The purpose of the qualitative study was to explore the perceptions of early childhood education (ECE) systems partners in one southwestern state regarding the current systems, structures, and policies related to career pathways through the high school, community college, and university levels. The conceptual framework for this study was based on von Bertalanffy’s general systems theory and systems thinkers such as Senge, who detail the complex interactions between systems …

Apex Graphs And Cographs, Jagdeep Singh, Vaidy Sivaraman, Thomas Zaslavsky

Theory & Applications of Graphs

A class G of graphs is called hereditary if it is closed under taking induced subgraphs. We denote by G^{apex} the class of graphs G that contain a vertex v such that G − v is in G. Borowiecki, Drgas-Burchardt, and Sidorowicz proved that if a hereditary class G has finitely many forbidden induced subgraphs, then so does G^{apex}. We provide an elementary proof of this result.

The hereditary class of cographs consists of all graphs G that can be generated from K_1 using complementation and disjoint union. A graph is an apex cograph if it contains a …

Re: Silver Bow Creek Butte Area Npl Site Spring Semi-Annual 2024 Butte Priority Soils Operable Unit Interim Site-Wide Groundwater Monitoring Data Report. Consent Decree- Civil Action No. Cv 89-039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Increasing Youth Engagement In Community Heritage And Social Justice Through Implementation Of A Youth Participatory Empowerment Model, Jancarlos Wagner-Romero, Mary Gillis, Lindsay Clemens, Amanda J. Dworak Rowland, Curlinda Mitchell-Blacksheep, Melanie Canaday-Talley

Journal of Multicultural Affairs

Youth in traditionally marginalized communities are often the target of policies and practices without the opportunity to provide input. This article highlights effective strategies to empower youth to become active participants in their communities. Using a Youth Participatory Empowerment Model (YPEM), youth participants from six demographically distinct communities engaged in YPEM-supported activities and strategies to identify and address a need within their community. To gain insight into successful strategies, qualitative data from pre and post implementation focus group interviews and observational field notes informed the conclusions. The participant youth represent tribal, undocumented, rural, suburban, and urban youth from underserved populations. …

Functionalism, Algorithms And The Pursuit Of A Theory Of Mind For Artificial Intelligence, Victor Mureithi

Critical Humanities

Abstract.

The advancement of computing technology has given rise to an interesting thesis: the human brain can be studied and understood as operating on the principles of a digital computer. The claim later became a more substantial thesis: the Mind is a computer since the Mind is actualized in the brain. The recent success of large language models (LLMs) such as Bard (produced by Google), GPT3, ChatGPT (also known as GPT3.5, produced by OpenAI-Microsoft), and LLaMA (produced byMeta) has brought greater attention and focus to the discussion of human versus machine intelligence. The result has been a pursuit of a …

Exploring Blockchain Technology: Applications And Insights Across Multiple Fields, Zarella Valentina Burbano Vallejo, Edgar Dario Obando Paredes

AUIQ Technical Engineering Science

Blockchain is a digital recording technology where each block contains encrypted data linked to previous blocks, forming an immutable and transparent sequence. This review systematically analyzes the applications and evolution of blockchain technology across multiple sectors from 2021–2023. peer-reviewed articles focused on key areas such as finance, healthcare, energy, and supply chain management. The findings highlight blockchain's transformative potential, including its ability to enhance security through encryption and decentralization, improve trust and data integrity, and eliminate intermediaries, enabling faster transactions and cost reduction. However, challenges such as scalability issues, high energy consumption in cryptocurrency mining, privacy concerns due to the …

Community College Faculty Use Of Universal Design For Learning (Udl): A Participatory Action Research Dissertation Study, Marjorie Barnes

Theses and Dissertations

This participatory action research (PAR) dissertation study investigates the implementation of Universal Design for Learning (UDL) principles by community college faculty in first-year writing courses to support students with learning disabilities at a New Jersey community college. Through a collaborative approach involving faculty as active participants, the study explores how UDL guidelines are integrated into writing assignments for ENG 101 and ENG 102. Through iterative cycles of planning, action, observation, and reflection, the research explores how faculty implement UDL guidelines to enhance accessibility and inclusivity in their writing assignments. Data collection methods include focus group interviews, document analysis, and the …

Bryan Range V. Attorney General United States

2024 Decisions

USDC for the Eastern District of Pennsylvania

Importance Of The Hemoglobin Glycation Index For Risk Of Cardiovascular And Microvascular Complications And Mortality In Individuals With Type 2 Diabetes (Endocrinol Metab 2024;39:732-47, Claudia Regina Lopes Cardoso Et Al.), Stuart A. Chalew

School of Medicine Faculty Publications

No abstract provided.

Reconstructing Superoscillations Buried Deeply In Noise, Derek D. White, Shunxing Zhang, Barbara Šoda, Achim Kempf, Daniele C. Struppa, Andrew N. Jordan, John C. Howell

Mathematics, Physics, and Computer Science Faculty Articles and Research

We utilize a method using frequency combs to construct waves that feature superoscillations—local regions of the wave that exhibit a change in phase that the bandlimits of the wave should not otherwise allow. This method has been shown to create superoscillating regions that mimic any analytic function—even ones well outside the bandlimits—to an arbitrary degree of accuracy. We experimentally demonstrate that these waves are extremely robust against noise, allowing for accurate reconstruction of a superoscillating target function thoroughly buried in noise. We additionally show that such a construction can be easily used to range-resolve a signal well below the commonly …

Optimizing Transport Predictive Modeling With Simulation-Based Statistical Inference Authors, Mamunur Rashid, Quyen Tran

Mathematics Faculty Publications

Simulation-based statistical inference (SBI) leverages computer simulations to help scientists understand and analyze complex data. This paper explores how SBI techniques can be used to analyze transportation data. We use modern computational methods, including machine learning models, to improve the accuracy of predictions and decision-making in transportation planning. Our study focuses on two SBI methods, Approximate Bayesian Computation - Markov Chain Monte Carlo and Synthetic Likelihood, to create synthetic data for training machine learning models. These models show the potential of SBI to handle uncertain transportation data. It also highlights the practical benefits of SBI in making better decisions for …