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Development Of Accurate Embedded Fracture Models For Naturally Fractured Reservoirs, Harun Ur Rashid Mar 2024

Development Of Accurate Embedded Fracture Models For Naturally Fractured Reservoirs, Harun Ur Rashid

LSU Doctoral Dissertations

Natural fractures play a critical role in the performance of unconventional oil, gas, and geothermal reservoirs due to their prevalent occurrence within these systems. However, modeling these fractures accurately and efficiently is still challenging. This work centers on an extensive analysis of naturally fractured systems and proposes new fracture modeling algorithms that can predict the performance of fractured tight rocks accurately and efficiently. Several researchers have explored various methodologies to accurately and efficiently model fractured reservoirs. Among the approaches that can account for each individual fracture in these reservoirs, the embedded discrete fracture model (EDFM) is one of the most …


03.18.2024 Orsp Connect, Liz Williamson Mar 2024

03.18.2024 Orsp Connect, Liz Williamson

ORED Newsletter

SPAN and ARC form training, Nature Masterclasses, Glisto Rice, Useful Links


The Echo: March 18, 2024, Taylor University Mar 2024

The Echo: March 18, 2024, Taylor University

2023-2024 (Volume 111)

No abstract provided.


Study On Flexural Behavior Of Wet Joints Of Prefabricated Steel‑Uhpc Composite Bridge Deck, Liao Wancheng, Zhao Hua, An Jiahe Mar 2024

Study On Flexural Behavior Of Wet Joints Of Prefabricated Steel‑Uhpc Composite Bridge Deck, Liao Wancheng, Zhao Hua, An Jiahe

Journal of China & Foreign Highway

Prefabricated steel-UHPC composite bridge deck is a new deck structure system that places the longitudinal rib at the upper layer and forms PBL shear connectors.This structure can be prefabricated in the factory and assembled on-site.The adjacent steel beams are integrated by welding,and the cast in-situ UHPC wet joints connect the adjacent UHPC bridge decks.However,these wet joints represent the structure's vulnerable segments but with little research.To this end,a full-scale model test has been conducted to study the flexural behavior of the wet joints in a steel-UHPC composite bridge deck in a practical project.The Abaqus finite element model was established and verified …


Research On Shape Optimization Of Four‑Center Circular Highway Tunnel Based On Parametric Modeling Idea, Zhu Lei, Guo Meng, Guo Jinyong, Shen Caihua, Zhang Hanyi Mar 2024

Research On Shape Optimization Of Four‑Center Circular Highway Tunnel Based On Parametric Modeling Idea, Zhu Lei, Guo Meng, Guo Jinyong, Shen Caihua, Zhang Hanyi

Journal of China & Foreign Highway

The rational cross-sectional form of the four-center circular highway tunnel contributes to enhancing the stress state of the lining structure,reducing cracks in the composite lining,and enhancing the durability of the tunnel structure.Utilizing the Ansys APDL programming platform and guided by the design principle of continuous-curvature,a parametric modeling equation for the geometrical dimensions of local tunnel shape in arch foot area was established.The calculation method and numerical simulation models for the equivalent mechanical parameters of the anchor reinforcement area were also developed.The study revealed the impact of the local tunnel shape parameter design in the arch foot area on the internal …


Faculty Senate Executive Committee Agenda March 18, 2024, Utah State University Mar 2024

Faculty Senate Executive Committee Agenda March 18, 2024, Utah State University

Faculty Senate & Faculty Senate Executive Committee

  • 3:30 Call to Order
  • 3:35 University Business
  • 3:55 Faculty Senate Business
  • 4:10 Information
  • Education Policies Committee
  • Presidential Investiture
  • Limited English Proficiency (LEP)
  • 4:20 Reports
  • 4:20 Old Business
  • 4:25 New Business
  • Administrator Evaluation Discussion
  • Faculty Code 409 & 410
  • Faculty Senate President Elect
  • Adjourn: 5:00 pm


Mind-Iot: Machine Intelligence And Data-Mining For Iot Threats, Kwabena Aboagye-Otchere, Jorge Castillo Mar 2024

Mind-Iot: Machine Intelligence And Data-Mining For Iot Threats, Kwabena Aboagye-Otchere, Jorge Castillo

Informatics and Engineering Systems Faculty Publications

The use of electric motors drive numerous industries via robust mechanical and electromechanical systems. However, their ubiquitous presence across the industry makes them potential targets for cyber-attackers, raising serious privacy concerns. Prior studies have demonstrated the feasibility of accurately fingerprinting various devices using electromagnetic signals. Yet, the specialized equipment required for those methods remain complex and expensive. This study presents MIND-IoT, a novel approach that captures and analyzes the unintended magnetic emissions surrounding electric motors. Our method achieves precise fingerprinting of motors, and determines their operational parameters by leveraging low-cost IoT devices. By focusing solely on magnetic fields, MIND-IoT offers …


A Science Teacher’S Experiences When Fostering Intercultural Competence Among Students In Multilingual Classrooms: A Narrative Study, Uma Ganesan, Amanda R. Morales Mar 2024

A Science Teacher’S Experiences When Fostering Intercultural Competence Among Students In Multilingual Classrooms: A Narrative Study, Uma Ganesan, Amanda R. Morales

Teaching and Learning Faculty Publications

Increased globalization of the world economy, growth in human migration, and rapid devel-opments in science and technology have required people to develop intercultural commu-nication skills. Teachers play a crucial role in developing intercultural competence among students in our globalized, multilingual classrooms. The need for fostering collaborative discourse among students with diverse cultural and linguistic repertoires and building in-tercultural competence among students is a common blind spot in Science, Technology, Engineering, and Mathematics teacher praxis. This can inhibit efforts to cultivate safe and supportive learning environments for all students and can ultimately threaten multilingual student success. As part of a larger …


Environmental Sustainability And Green Information Literacy In The Public Libraries Of Balochistan, Shahzadi Humbhi, Shabbir Tareen, Alia Humbhi, Abdul Raheem Mar 2024

Environmental Sustainability And Green Information Literacy In The Public Libraries Of Balochistan, Shahzadi Humbhi, Shabbir Tareen, Alia Humbhi, Abdul Raheem

Library Philosophy and Practice (e-journal)

The issues like natural resource scarcity, climate change, pollution, emission of greenhouse gases, global warming and reduction of the ozone layer have made people compelled for demanding to live in green environment. Librarians, especially rendering their services in public libraries are known as a bridge between information and its seekers. They have great influencer in the society to bring awareness among the people about the importance of green living and making the environment human friendly. In the light of the same the current study has been conducted to investigate current green practices of libraries in the Balochistan province and also …


Dissolved Nitrogen Removal In Biochar Amended, High Permeability Media For Urban Stormwater Treatment, Mark Vicciardo Mar 2024

Dissolved Nitrogen Removal In Biochar Amended, High Permeability Media For Urban Stormwater Treatment, Mark Vicciardo

USF Tampa Graduate Theses and Dissertations

Nutrient pollution in stormwater drives the eutrophication of inland and costal waterbodies which leads to sea grass retreat and the proliferation of harmful algal blooms (HAB). These anthropogenic effects destabilize ecosystems, and some HABs can pose direct human health risk. Bioretention, or the storage and controlled discharge of stormwater run-off in an ecologically engineered setting, is a potential solution to this problem. However, it relies heavily on the settling of particles as a nutrient removal mechanism, and thus struggles with pollutants, such as dissolved nitrogen, which is a particular problem in Florida where the geological prominence of phosphorus leaves nitrogen …


Effect Of Mastery Learning Strategy On Students' Learning Outcomes In Senior Secondary School Biology In Lagos State, Kassim O. Ajayi Prof, Fausat A. Adenaike Prof, Modupe O. Salomi Dr, Kehinde S. Momodu Mrs Mar 2024

Effect Of Mastery Learning Strategy On Students' Learning Outcomes In Senior Secondary School Biology In Lagos State, Kassim O. Ajayi Prof, Fausat A. Adenaike Prof, Modupe O. Salomi Dr, Kehinde S. Momodu Mrs

Essays in Education

The study is a pre-test, post-test control group randomized quasi–experimental research design. The population comprised all SSII Biology Students in Lagos Education District II, with two intact classes of 60 students from two selected public secondary schools. Four instruments were used namely; Mastery Learning Strategy Instructional Aid, Conventional Teaching Strategy Instructional Aid, Biology Achievement Test (r = 0.77) and Biology Attitude Scale (r = 0.82). Six null hypotheses were tested using Analysis of Covariance (ANCOVA). Findings showed significant main effect of treatment on achievement (F (1, 59) = 2399.983, P (.000) < .05), no significant main effect of gender on achievement (F (1, 59) = 1.677, P (.201) > .05) and no …


Features Of Glass Produced From A Solar Furnace, Mukhammade-Sultankhan Paizullakhanov, Mirutkir Sulaymonov, Abdurashid Holmatov, Nilufar Karshieva, Akbarjon Turayev Mar 2024

Features Of Glass Produced From A Solar Furnace, Mukhammade-Sultankhan Paizullakhanov, Mirutkir Sulaymonov, Abdurashid Holmatov, Nilufar Karshieva, Akbarjon Turayev

CHEMISTRY AND CHEMICAL ENGINEERING

The effect of the flux density of concentrated solar radiation on the microstructure, degree of homogeneity, and charge state of glass ions obtained by quenching fused pyroxene rock in a solar furnace has been studied. It is shown that with an increase in the flux density, a decrease in the particle size to 0.4 μm is observed, a change in the color of the glass due to a change in the charge state of iron ions Fe3+ → Fe2+. The dependence of the glass particle size on the incident radiation spectrum was observed. In the case of irradiation with a …


Sr 23-24-36 Bapc, Marshall University Faculty Senate Mar 2024

Sr 23-24-36 Bapc, Marshall University Faculty Senate

Recommendations

No abstract provided.


A Metaphysics Of The Moral Imagination: John Ruskin's Realism, Revisited, Jesse Goodman Mar 2024

A Metaphysics Of The Moral Imagination: John Ruskin's Realism, Revisited, Jesse Goodman

Graduate Student Research Symposium

The Victorian philosopher John Ruskin is primarily remembered for his political writing, as a forerunner of what we would today call Christian Socialist politics. In aesthetic circles, he is also often considered something of a punchline: a stuffy conservative who represents the worst vagaries of his day, an enemy of abstraction. Ruskin thus has a double-being in cultural memory: both an admired social reformer and a laughingstock art critic.

These views of Ruskin can be potentially reconciled by showing how his critics have misunderstood his aesthetic philosophy. Ruskin is often described as an aesthetic realist, the view on which art …


Monitoring Eye States Based On Transparent And Flexible Antenna In Wban, Yu Yang, Yu Shao, Yu Yao, Yanyang Zhang Mar 2024

Monitoring Eye States Based On Transparent And Flexible Antenna In Wban, Yu Yang, Yu Shao, Yu Yao, Yanyang Zhang

School of Engineering, Computing and Mathematics

With the development of wireless body area network (WBAN), the integration of transparent and flexible antennas into wearable devices has been widely studied. Transparent and flexible antennas can be compatible with devices of different shapes, sizes and materials, achieving device miniaturization. Wearable antennas can achieve lightweight, flexible, low-cost, and portable wireless communication and sensing. This letter aims to design and fabricate a transparent and flexible monopole antenna operating at 5.8 GHz, fed by coplanar waveguide (CPW). We selected 650-nm-thick indium tin oxide (ITO) as conductor and 0.125-mm-thick polyethylene terephthalate (PET) as substrate. The surface resistance of the antenna is 2-3 …


Terry Riley's "In C" For Mobile Ensemble, David B. Wetzel, Griffin Moe, George K. Thiruvathukal Mar 2024

Terry Riley's "In C" For Mobile Ensemble, David B. Wetzel, Griffin Moe, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

This workshop presents a mobile-friendly Web Audio application for a “technology ensemble play-along” of Terry Riley’s 1964 composition In C. Attendees will join in a reading of In C using available web-enabled devices as musical instruments. We hope to demonstrate an accessible music-technology experience that relies on face-to-face interaction within a shared space. In this all-electronic implementation, no special musical or technical expertise is required.


Automated Seizure Detection Based On State-Space Model Identification, Zhuo Wang, Michael Sperling, Dale Wyeth, Allon Guez Mar 2024

Automated Seizure Detection Based On State-Space Model Identification, Zhuo Wang, Michael Sperling, Dale Wyeth, Allon Guez

Department of Neuroscience Faculty Papers

In this study, we developed a machine learning model for automated seizure detection using system identification techniques on EEG recordings. System identification builds mathematical models from a time series signal and uses a small number of parameters to represent the entirety of time domain signal epochs. Such parameters were used as features for the classifiers in our study. We analyzed 69 seizure and 55 non-seizure recordings and an additional 10 continuous recordings from Thomas Jefferson University Hospital, alongside a larger dataset from the CHB-MIT database. By dividing EEGs into epochs (1 s, 2 s, 5 s, and 10 s) and …


A Soft Competition Among Arbitral Institutions: The Institutional Oligopoly Of Mixed Arbitration, Lukas Schaugg Mar 2024

A Soft Competition Among Arbitral Institutions: The Institutional Oligopoly Of Mixed Arbitration, Lukas Schaugg

PhD Dissertations

Arbitral institutions play a vital role beyond merely facilitating international arbitration between private parties and states; they actively shape international legal norms and influence global governance. Despite their strategic and policy-shaping role, scholarship on arbitral institutions remains limited mostly to doctrinal analyses of their procedural functions. Addressing this gap, this thesis presents a comparative case study, exploring the influence of four dominant arbitral institutions and their leading experts on the development and evolution of mixed arbitration. The study combines insider research and work in the archives of inter- and non-governmental organizations, states, and influential individuals. It also draws on numerous …


Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh Mar 2024

Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh

Faculty, Staff and Student Publications

Background: Identifying active lesions in magnetic resonance imaging (MRI) is crucial for the diagnosis and treatment planning of multiple sclerosis (MS). Active lesions on MRI are identified following the administration of Gadolinium-based contrast agents (GBCAs). However, recent studies have reported that repeated administration of GBCA results in the accumulation of Gd in tissues. In addition, GBCA administration increases health care costs. Thus, reducing or eliminating GBCA administration for active lesion detection is important for improved patient safety and reduced healthcare costs. Current state-of-the-art methods for identifying active lesions in brain MRI without GBCA administration utilize data-intensive deep learning methods.

Objective: …


Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh Mar 2024

Automatic Active Lesion Tracking In Multiple Sclerosis Using Unsupervised Machine Learning, Jason Uwaeze, Ponnada A Narayana, Arash Kamali, Vladimir Braverman, Michael A Jacobs, Alireza Akhbardeh

Faculty, Staff and Student Publications

BACKGROUND: Identifying active lesions in magnetic resonance imaging (MRI) is crucial for the diagnosis and treatment planning of multiple sclerosis (MS). Active lesions on MRI are identified following the administration of Gadolinium-based contrast agents (GBCAs). However, recent studies have reported that repeated administration of GBCA results in the accumulation of Gd in tissues. In addition, GBCA administration increases health care costs. Thus, reducing or eliminating GBCA administration for active lesion detection is important for improved patient safety and reduced healthcare costs. Current state-of-the-art methods for identifying active lesions in brain MRI without GBCA administration utilize data-intensive deep learning methods.

OBJECTIVE: …


Full Issue Mar 2024

Full Issue

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

Volume 7, 2023-2024


Challenges To Reindeer, Reciprocity, And Indigenous Sami Sovereignty Amidst The Impact Of Green Energy Developments, Lisa Heikka-Huber Mar 2024

Challenges To Reindeer, Reciprocity, And Indigenous Sami Sovereignty Amidst The Impact Of Green Energy Developments, Lisa Heikka-Huber

IdeaFest: Interdisciplinary Journal of Creative Works and Research from Cal Poly Humboldt

The Indigenous people of Europe known as the Sami, (also spelled Saami) many of whom live throughout the world, have continued to maintain active nomadic communities today as their ancestors did. A wide spanning region of Northern Europe’s Arctic Zone or Sampi often referred to as Fennoscandia, encompasses four countries, Norway, Sweden, Finland, and Russia’s Kola Peninsula (Roland & Löffler, 2012). The nomadic Sami people follow the migration pathways of their reindeer herds through the wilderness bi-annually. This paper will discuss many perspectives, including the battle Sami people and other Indigenous communities have endured while combating green energy development from …


Application And Effectiveness Of Artificial Intelligence For The Border Management Of Imported Frozen Fish In Taiwan, Wen-Chin Tu, Wan-Ling Tsai, Chi-Hao Lee, Chia-Fen Tsai, Jen-Ting Wei, King-Fu Lin, Shou-Mei Wu, Yih-Ming Weng Mar 2024

Application And Effectiveness Of Artificial Intelligence For The Border Management Of Imported Frozen Fish In Taiwan, Wen-Chin Tu, Wan-Ling Tsai, Chi-Hao Lee, Chia-Fen Tsai, Jen-Ting Wei, King-Fu Lin, Shou-Mei Wu, Yih-Ming Weng

Journal of Food and Drug Analysis

In Taiwan, the number of applications for inspecting imported food has grown annually and noncompliant products must be accurately detected in these border sampling inspections. Previously, border management has used an automated border inspection system (import food inspection (IFI) system) to select batches via a random sampling method to manage the risk levels of various food products complying with regulatory inspection procedures. Several countries have implemented artificial intelligence (AI) technology to improve domestic governmental processes, social service, and public feedback. AI technologies are applied in border inspection by the Taiwan Food and Drug Administration (TFDA). Risk management of border inspections …


Learning From Our Assessment Heroes: The 2023 Mini Grant Recipients, Office Of Institutional Effectiveness Mar 2024

Learning From Our Assessment Heroes: The 2023 Mini Grant Recipients, Office Of Institutional Effectiveness

Measures of Success Series

Come and meet the 2023 University Assessment Steering Committee’s Assessment Mini Grant awardees. Learn about key accomplishments of these WMU instructors and administrators as they share highlights from their assessment projects focused in a variety of subjects and areas ranging from anthropology, finance and commercial law, geological and environmental sciences, Fulbright Foreign Student Program, history, and interdisciplinary health.


Role Of Electronegativity In Environmentally Persistent Free Radicals (Epfrs) Formation On Zno, Syed Monjur Ahmed, Reuben Oumnov, Orhan Kizilkaya, Randall W. Hall, Philip T. Sprunger, Robert L. Cook Mar 2024

Role Of Electronegativity In Environmentally Persistent Free Radicals (Epfrs) Formation On Zno, Syed Monjur Ahmed, Reuben Oumnov, Orhan Kizilkaya, Randall W. Hall, Philip T. Sprunger, Robert L. Cook

Natural Sciences and Mathematics | Faculty Scholarship

Environmentally persistent free radicals (EPFRs), a group of emerging pollutants, have significantly longer lifetimes than typical free radicals. EPFRs form by the adsorption of organic precursors on a transition metal oxide (TMO) surface involving electron charge transfer between the organic and TMO. In this paper, dihalogenated benzenes were incorporated to study the role of electronegativity in the electron transfer process to obtain a fundamental knowledge of EPFR formation mechanism on ZnO. Upon chemisorption on ZnO nanoparticles at 250 °C, electron paramagnetic resonance (EPR) confirms the formation of oxygen adjacent carbon-centered organic free radicals with concentrations between 1016 and 1017 spins/g. …


Uav Swarm Obstacle Avoidance Algorithm Based On Visual Field And Velocity Guidance, Xueqi Gui, Chuntao Li Mar 2024

Uav Swarm Obstacle Avoidance Algorithm Based On Visual Field And Velocity Guidance, Xueqi Gui, Chuntao Li

Journal of System Simulation

Abstract: In the future aerial combat of multiple unmanned aerial vehicles (UAVs), the safe flight of UAV swarm in unknown airspace is an important content of swarm research. In view of avoiding obstacles and maintaining behavior in the UAV swarm system, this paper presents a UAV swarm collision avoidance algorithm based on visual field and velocity guidance (VFVG). The swarm adaptive communication topology mechanism is designed based on the visual field method. Combined with the principle of far attraction and near repulsion and the consensus method, the mechanism can accelerate the transmission of obstacle avoidance information among UAV swarms while …


Dynamic Digital Twin Modelling And Semi-Physical Simulation Of Wind Turbine Operation, Yang Hu, Weiran Wang, Fang Fang, Ziqiu Song, Yuhan Xu, Jizhen Liu Mar 2024

Dynamic Digital Twin Modelling And Semi-Physical Simulation Of Wind Turbine Operation, Yang Hu, Weiran Wang, Fang Fang, Ziqiu Song, Yuhan Xu, Jizhen Liu

Journal of System Simulation

Abstract: For the accurate mapping and real-time simulation requirements proposed by digital twin technology, a multi-input multi-output (MIMO) finite difference domain-hybrid semi-mechanical (FDDHSM) digital twin modeling method is proposed, and a semi-physical simulation system of wind turbine digital twin with physical controller is established for the complex nonlinear operation characteristics of large wind turbines. The integrated dynamic MIMO-FDD-HSM model structure is constructed. Finite difference regression vectors are defined to characterize the operating conditions of the wind turbine, and finite difference space tight convex partitioning, parametric model identification, and non-parametric model training are completed under full operating conditions. The wind turbine …


A Distributed Simulation System For Space Operation Missions, Yunzhao Liu, Mingming Wang, Jintao Li, Chuankai Liu, Jianjun Luo Mar 2024

A Distributed Simulation System For Space Operation Missions, Yunzhao Liu, Mingming Wang, Jintao Li, Chuankai Liu, Jianjun Luo

Journal of System Simulation

Abstract: For the ground verification requirements of complex space operation missions such as noncooperative target capture, on-orbit maintenance, and in-space assembly, a distributed simulation system is developed, which mainly consists of a back-end simulation model, a front-end visual demonstration system, and a front-end main controller. In order to realize the multidisciplinary model coupling and interaction among different modeling tools or programming languages, the functional mock-up interface (FMI) standard is introduced for system integration, improving the modularity, generality, and portability of the system. To fully utilize computing resources and improve the simulation efficiency, simulation subsystems and modules are deployed in a …


Modeling And Optimization Of Smart Warehouse Order Sorting Considering Splitting Strategy, Yuze Xu, Linxuan Zhang, Hui Li, Ming Ge, Wanyi He Mar 2024

Modeling And Optimization Of Smart Warehouse Order Sorting Considering Splitting Strategy, Yuze Xu, Linxuan Zhang, Hui Li, Ming Ge, Wanyi He

Journal of System Simulation

Abstract: For an automatic vehicle sorting problem involving mixed sorting of two types of orders, an order splitting strategy and a method for batch adjustment of sub-orders after splitting are proposed by considering the phenomena of blockage of automatic guided vehicles (AGVs) and idleness of manual collection stations in the order sorting process. In addition, with the optimization objective of minimizing the total order completion time, an order sorting integer planning model with order splitting is established. An improved discrete grey wolf optimization algorithm is proposed to jointly optimize the three sub-problems of order batching, batch sorting, and product unloading …


Construction Of Machine Learning Data Set For Analyzing The Replay Of The Wargaming, Dayong Zhang, Jingyu Yang, Jun Ma, Chenye Song Mar 2024

Construction Of Machine Learning Data Set For Analyzing The Replay Of The Wargaming, Dayong Zhang, Jingyu Yang, Jun Ma, Chenye Song

Journal of System Simulation

Abstract: The first problem to be solved in the application of machine learning to the analysis of the replay of the wargaming is the construction of data sets. Due to the standardization requirements of machine learning for data structure, as well as the limitations of computing power and storage, building a machine learning data set through the wargaming data still faces many problems in terms of how to describe the wargaming situation, how to describe the wargaming process, how to handle high dimensional data, and how to prevent data distortion. To solve these problems, this paper constructs a mapping model …