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Articles 163441 - 163470 of 1826614
Full-Text Articles in Entire DC Network
18th Annual Research In The Capitol [Program], March 25, 2024, University Of Northern Iowa. University Honors Program. Iowa State University. Honors Program. University Of Iowa. Honors Program.
18th Annual Research In The Capitol [Program], March 25, 2024, University Of Northern Iowa. University Honors Program. Iowa State University. Honors Program. University Of Iowa. Honors Program.
Research in the Capitol Programs
Program of research presentations given at the Capitol by students from the University of Northern Iowa, Iowa State University, and the University of Iowa.
Broader Community Invited To Enroll In Summer Term Courses, Julia Perez
Broader Community Invited To Enroll In Summer Term Courses, Julia Perez
News and Events (Discontinued Series)
No abstract provided.
Preserving Linguistic Diversity In The Digital Age: A Scalable Model For Cultural Heritage Continuity, James Hutson, Pace Ellsworth, Matt Ellsworth
Preserving Linguistic Diversity In The Digital Age: A Scalable Model For Cultural Heritage Continuity, James Hutson, Pace Ellsworth, Matt Ellsworth
Faculty Scholarship
In the face of the rapid erosion of both tangible and intangible cultural heritage globally, the urgency for effective, wide-ranging preservation methods has never been greater. Traditional approaches in cultural preservation often focus narrowly on specific niches, overlooking the broader cultural tapestry, particularly the preservation of everyday cultural elements. This article addresses this critical gap by advocating for a comprehensive, scalable model for cultural preservation that leverages machine learning and big data analytics. This model aims to document and archive a diverse range of cultural artifacts, encompassing both extraordinary and mundane aspects of heritage. A central issue highlighted in the …
Road Maintenance Through Machine Learning, Yashwanth Sai Rachala
Road Maintenance Through Machine Learning, Yashwanth Sai Rachala
Theses and Dissertations
This thesis explores the use of machine learning techniques for road infrastructure maintenance. We propose an innovative machine learning-based approach to improve the efficiency and effectiveness of road maintenance strategies. The focal point of this investigation is the development and implementation of a machine learning framework to enhance road quality monitoring. We use Long Short-Term Memory (LSTM) networks to accurately predict future road conditions and identify potential areas requiring maintenance before significant deterioration occurs. This predictive approach is designed to enable a shift from reactive to proactive road maintenance, optimizing the use of limited resources and improving overall road safety. …
Coping With California’S Deficit, Part 2: Permissible Borrowing, David Gamage, Darien Shanske
Coping With California’S Deficit, Part 2: Permissible Borrowing, David Gamage, Darien Shanske
Faculty Publications
In this installment of Academic Perspectives on SALT, Shanske and Gamage examine California’s projected budget deficit and possible solutions. California has a large budget deficit that is predicted to last for several years. In this two-part series, we will place California’s situation in context and propose solutions.
The state should use short-term borrowing to cover at least some of the cyclical shortfall. That the real revenue cycle is unlikely to neatly unfold over one traditional fiscal year should not change this conclusion. To that end, we will show how California can operationalize this simple insight despite the impression some may …
Usa V. Jonathan Wiktorchik,Jr.
Usa V. Jonathan Wiktorchik,Jr.
2024 Decisions
USDC for the Eastern District of Pennsylvania
Understanding Masculinity: Exploring The Personal And Professional Lives Of Male Middle School Directors Of Private, All-Boys’ Middle Schools, Jason Larocque
Understanding Masculinity: Exploring The Personal And Professional Lives Of Male Middle School Directors Of Private, All-Boys’ Middle Schools, Jason Larocque
Educational Studies Dissertations
There is a gap in research about the gender identity and gender experience of men leading all boys' middle-schools. In addition, there has been little work done exploring the link between the inner lives of male school leaders, their level of burnout or satisfaction, and the impacts on their school leadership. The purpose of this study was to explore how male middle school directors of all-boys’ middle schools make sense of, engage with, and are impacted by their masculinity. The study employed narrative research with a social constructivist and post structural feminist lens. Four participants completed digital participatory journals, written …
Smoking Cessation In Primary Care Using The 5 A’S Model Of Motivational Interviewing: A Quality Improvement Project, Lauren M. Violette
Smoking Cessation In Primary Care Using The 5 A’S Model Of Motivational Interviewing: A Quality Improvement Project, Lauren M. Violette
DNP Projects
Significance and Background: Tobacco use is one of the leading causes of preventable death in the United States, greatly contributing to morbidity and mortality. Motivational Interviewing (MI), a counseling style, has been shown to increase motivation for change in people. Successful intervention for behavior modification starts with identifying a person’s readiness for change. The 5 A’s model is an established form of motivational interviewing that addresses the five major steps of intervention: Ask, Advise, Assess, Assist, and Arrange. The Center for Disease Control (CDC) endorses the use of the 5 A’s brief tobacco intervention to protect the public’s health from …
Application Of The Horizontal Seismic Profiling-Based Advance Detection Technology To The Excavation Of Rock Roadways In Coal Mines Using Tunnel Boring Machines, Zhang Sheng, Chen Zhao, Lu Song, Yang Zhanbiao, Ji Panjun, He Fei, Lu Yiqiang, Liu Jiawei
Application Of The Horizontal Seismic Profiling-Based Advance Detection Technology To The Excavation Of Rock Roadways In Coal Mines Using Tunnel Boring Machines, Zhang Sheng, Chen Zhao, Lu Song, Yang Zhanbiao, Ji Panjun, He Fei, Lu Yiqiang, Liu Jiawei
Coal Geology & Exploration
With the gradual application of full-face tunnel boring machines (TBMs) to the excavation of rock roadways in coal mines, there is an increasingly urgent need for the accurate and rapid advance prediction of unfavorable geological structures. This study analyzed the characteristics of active-source seismic wave-based advance detection methods and the applicability of the advance detection technology based on TBM seismic while drilling (TSWD) with TBM rock-breaking vibration as a seismic source. Then, by combining the geological and production conditions of coal mine roadways, this study proposed a horizontal seismic profiling (HSP)-based advance detection method applicable to the excavation of roadways …
Early Warning And Prediction Of Kicks And Lost Circulation Accident During Rescue Drilling Of Mine, Chen Weiming, Wang Jiawen, Fan Dong, Hao Shijun, Zhao Jiangpeng, Qiu Yu
Early Warning And Prediction Of Kicks And Lost Circulation Accident During Rescue Drilling Of Mine, Chen Weiming, Wang Jiawen, Fan Dong, Hao Shijun, Zhao Jiangpeng, Qiu Yu
Coal Geology & Exploration
In order to solve the problems such as the difficulty in early warning and prediction of kicks and lost circulation accidents during emergency rescue drilling of mine, a machine learning-based early for warning and prediction model of drilling process was established. Firstly, the accident characterization parameters of the drilling parameters in the early stage of kicks and lost circulation accidents were analyzed. Secondly, the accident characterization parameters were cleaned and processed. On this basis, XGBoost and early warning model was used to carry out the early diagnosis and identification of kicks and lost circulation accidents. Then, the PSO-LSTM accident development …
Analysis On Working Characteristics Of Cam-Roller Impact Mechanism Of Rotary Percussion Drilling Tool, Sun Yangqing, Yi Xianzhong, Wan Jifang, Ma Jianqi, Wu Jiwei, Yi Jun, Yin Guangpin
Analysis On Working Characteristics Of Cam-Roller Impact Mechanism Of Rotary Percussion Drilling Tool, Sun Yangqing, Yi Xianzhong, Wan Jifang, Ma Jianqi, Wu Jiwei, Yi Jun, Yin Guangpin
Coal Geology & Exploration
Rotary percussion drilling tools can effectively improve their rock breaking efficiency in the deep and hard strata, thus having broad application prospects. The cam-roller is the key mechanism to realize the impact action, but the complex and changeable downhole environment leads to serious damage to the mechanism, which in turn affects the efficiency of rock breaking. Based on the test drilling data of rotary impact drilling tools in several wells, the cam-roller dynamics model was established, the working characteristics under different strokes, speeds and drilling pressures were analyzed by Autodyn (explicit dynamics), and the deformation characteristics of the mechanism were …
Development And Application Of An Automatic Online Testing Instrument For The Funnel Viscosity And Density Of Drilling Fluids, Xie Hui, Zheng Liqun, Liu Fulin, Liang Mengjia, Liu Xuan, Cai Jihua, Yang Xianyu, Hou Jiwu
Development And Application Of An Automatic Online Testing Instrument For The Funnel Viscosity And Density Of Drilling Fluids, Xie Hui, Zheng Liqun, Liu Fulin, Liang Mengjia, Liu Xuan, Cai Jihua, Yang Xianyu, Hou Jiwu
Coal Geology & Exploration
In recent years, the research on the automatic performance testing technology for drilling fluids has achieved significant progress both domestically and internationally. However, automatic drilling fluid testing instruments face challenges, such as high costs, complicated structures, and restricted working environments. Given these challenges, this study developed an automatic online testing instrument for the funnel viscosity and density of drilling fluids. The testing instrument consists of mud pumping, testing, cleaning, and control modules, which are built using a programmable logic controller (PLC), an Internet of things (IoT) module, a pressure sensor, an ultrasonic sensor, a peristaltic mud pump, an electric ball …
Deformation And Collapse Patterns Of Gas Drainage Boreholes And A Precise Monitoring Technology, Xiao Peng, Huang Xiaosheng, Liu Xiaoxiao, Li Bingkun, Chen Liping, Chen Zixi, Zhang Chao, Cheng Renhui, Zhao Yajie
Deformation And Collapse Patterns Of Gas Drainage Boreholes And A Precise Monitoring Technology, Xiao Peng, Huang Xiaosheng, Liu Xiaoxiao, Li Bingkun, Chen Liping, Chen Zixi, Zhang Chao, Cheng Renhui, Zhao Yajie
Coal Geology & Exploration
This study aims to promote the precise and intelligent monitoring of gas drainage boreholes. In the engineering background of a coal mine in Shanxi Province, this study conducted simulation experiments on the plugging of gas extraction boreholes under varying particle size ratios of simulated coal samples using distributed optical fiber monitoring and the Brillouin Optical Time-Domain Analysis (BOTDA). Then, this study established a mathematical model for calculating the borehole plugging rate of the test mine, revealing the deformation and collapse patterns of gas drainage boreholes. Furthermore, this study proposed a precise in-situ monitoring technology for the gas drainage boreholes in …
Epa Remedial Project Manager Change, Berkeley Pit/Mine Flooding Operable Unit (Bmfou) Of The Silver Bow Creek/Butte Area And Consent Decree For The Mine Flooding Site, Cv 02-35-Bu-Rfc, Jason Rappe
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
An Experimental Study Of Factors Influencing Gas Seepage In Confined Broken Anthracite, Li Zhen, Yu Yirui, Wang Hongwei, Feng Guorui, He Fulian, Wang Dezhang, Zhou Jinhui, Liu Luyan, Han Xinlei
An Experimental Study Of Factors Influencing Gas Seepage In Confined Broken Anthracite, Li Zhen, Yu Yirui, Wang Hongwei, Feng Guorui, He Fulian, Wang Dezhang, Zhou Jinhui, Liu Luyan, Han Xinlei
Coal Geology & Exploration
The void structure evolution of broken coals in a caving zone directly affects the gas seepage characteristics of the zone, further influencing the gas migration and enrichment patterns in abandoned coal mine goaves. With the second generation of compaction-seepage-CT scanning experimental system for broken coals independently designed and developed, this study performed 162 sets of permeability experiments on broken anthracite samples with five particle size ranges under varying gas pressures, axial stresses, and void fractions. Key findings are as follows: (1) When gas migrated in broken anthracite, its pressure and flow rate kept dynamically changing until the adsorption equilibrium was …
Positioning Error Compensation Of Drilling Robot Arm For Coal Mine, Liang Chunmiao, Yao Ningping, Yao Yafeng, Peng Tao
Positioning Error Compensation Of Drilling Robot Arm For Coal Mine, Liang Chunmiao, Yao Ningping, Yao Yafeng, Peng Tao
Coal Geology & Exploration
At present, the pose of drilling robots is mostly adjusted by manual remote control and manual retest in combination. Full automatic adjustment has not been achieved. Besides, due to the low precision of open-loop control and inadequate automation capability, the accurate hole positioning and automatic construction of hole groups cannot be realized by drilling robots with water exploration and discharge, outburst prevention and punching prevention in coal mines. Herein, the kinematic model of drilling arm was established by analyzing the structure and action of the drilling robot’s drilling arm. Meanwhile, the dip angle factors such as machining error, body deformation …
Operation Process Identification For Intelligent Drill Rig Base On Analytic Hierarchy Process, Zhu Qianxiang, Luo Pengping, Wang Longpeng, Xing Wang, Wang Tianlong
Operation Process Identification For Intelligent Drill Rig Base On Analytic Hierarchy Process, Zhu Qianxiang, Luo Pengping, Wang Longpeng, Xing Wang, Wang Tianlong
Coal Geology & Exploration
It is very difficult to automatically identify the current process during the intelligent construction of coal mine drill rigs. In response to this, an operation process identification method was proposed, which includes hierarchical modeling of drill rig operation and probability inference of process execution. Firstly, the coupling process among the components of different granularity during the operation of drill rig is described and modeled based on the hierarchical analysis method, which reveals the interactive characteristics between equipment, function and system during the execution of each process. Secondly, Bayesian probabilistic reasoning method is introduced based on the above research to establish …
Re: Epa Remedial Project Manager Change, Berkeley Pit/Mine Flooding Operable Unit (Bmfou) Of The Silver Bow Creek/Butte Area And Consent Decree For The Mine Flooding Site, Cv 02-35-Bu-Rfc, Jason Rappe
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Size Limits And Fission Channels Of Doubly Charged Noble Gas Clusters, Ianessa Stromberg, Stefan Bergmeister, Lisa Ganner, Fabio Zappa, Paul Scheier, Olof Echt, Elisabeth Gruber
Size Limits And Fission Channels Of Doubly Charged Noble Gas Clusters, Ianessa Stromberg, Stefan Bergmeister, Lisa Ganner, Fabio Zappa, Paul Scheier, Olof Echt, Elisabeth Gruber
Faculty Publications
Small, highly charged liquid droplets are unstable with respect to spontaneous charge separation when their size drops below the Rayleigh limit or, in other words, their fissility parameter X exceeds the value 1. The absence of small doubly charged atomic cluster ions in mass spectra below an element-specific appearance size na has sometimes been attributed to the onset of barrierless fission at X = 1. However, more realistic models suggest that na marks the size below which the rate of fission surpasses that of competing dissociative channels, and the Rayleigh limit of doubly charged van der Waals clusters …
Influence Of Climate Zone Shifts On Forest Ecosystems In Northeastern United States And Maritime Canada, Samuel Roy, Xinyuan Wei, Aaron Weiskittel, Daniel J. Hayes, Peter Nelson, Alexandra R. Contosta
Influence Of Climate Zone Shifts On Forest Ecosystems In Northeastern United States And Maritime Canada, Samuel Roy, Xinyuan Wei, Aaron Weiskittel, Daniel J. Hayes, Peter Nelson, Alexandra R. Contosta
Faculty Publications
Climate zones play a significant role in shaping the forest ecosystems located within them by influencing multiple ecological processes, including growth, disturbances, and species interactions. Therefore, delineation of current and future climate zones is essential to establish a framework for understanding and predicting shifts in forest ecosystems. In this study, we developed and applied an efficient approach to delineate regional climate zones in the northeastern United States and maritime Canada, aiming to characterize potential shifts in climate zones and discuss associated changes in forest ecosystems. The approach comprised five steps: climate data dimensionality reduction, sampling scenario design, cluster generation, climate …
Improving Medical Image Classification Accuracy Through Unsupervised Segmentation And Confounder Mitigation With Limited Data, Nikolai Fetisov
Improving Medical Image Classification Accuracy Through Unsupervised Segmentation And Confounder Mitigation With Limited Data, Nikolai Fetisov
USF Tampa Graduate Theses and Dissertations
Medical images are indispensable for assisting health care professionals to make more accurate cancer diagnosis and prognosis decisions. Several image modalities exist including, but not limited to, histopathology or whole slide images (WSI), computed tomography (CT), positron emission tomography (PET) and radiography (i.e., X-Ray), each having their own application in clinical practice.
Today, machine learning and deep learning methods have evolved to the point of being practically usable. These approaches learn and extract knowledge from data to make possible automating certain tasks. At the point of writing this dissertation, they have reached human-level performance in general image recognition tasks, became …
Can Machine Learning Models Provide Accurate Fertilizer Recommendations?, Takashi S. T. Tanaka, Gerard B. M. Heuvelink, Taro Mieno, David S. Bullock
Can Machine Learning Models Provide Accurate Fertilizer Recommendations?, Takashi S. T. Tanaka, Gerard B. M. Heuvelink, Taro Mieno, David S. Bullock
Department of Agricultural Economics: Faculty Publications
Accurate modeling of site-specific crop yield response is key to providing farmers with accurate site-specific economically optimal input rates (EOIRs) recommendations. Many studies have demonstrated that machine learning models can accurately predict yield. These models have also been used to analyze the effect of fertilizer application rates on yield and derive EOIRs. But models with accurate yield prediction can still provide highly inaccurate input application recommendations. This study quantified the uncertainty generated when using machine learning methods to model the effect of fertilizer application on site-specific crop yield response. The study uses real on-farm precision experimental data to evaluate the …
Mediation Between States And Criminal Defendants For Post-Conviction Relief Under State Dna Statutes, Nowshin Nawal
Mediation Between States And Criminal Defendants For Post-Conviction Relief Under State Dna Statutes, Nowshin Nawal
Cardozo Journal of Conflict Resolution (CJCR) Blog
With new advances in DNA technology, it has become easier to use DNA testing to find perpetrators of crime where DNA evidence is present. Many incarcerated individuals claiming innocence seek to have the evidence tested during post-conviction in light of new technology. Forty-seven states now have DNA statutes that allow testing during the post-conviction stage. A new problem arises because state prosecutors are often reluctant to agree to DNA testing, which leaves litigation as the remaining method—which is inefficient. The process would be more efficient if a third party worked with the state and the defendant.
This post was originally …
From Affordable To Equitable: An Analysis Of Affordable Housing As A Solution In A National Shortage, Machelle Cooper
From Affordable To Equitable: An Analysis Of Affordable Housing As A Solution In A National Shortage, Machelle Cooper
Honors Program: Senior Projects (Public)
Amid a national shortage of housing, the United States needs housing solutions that both remedy infrastructural concerns imposed by outdated standards of urban development and address a widespread lack of equity across several urban areas. Conventional approaches to public housing have proven ineffective in promoting equitable change within underdeveloped contexts. These areas desire innovative, intentional interventions that adequately address all aspects of their social, economic, and environmental needs that existing patterns of development have neglected for decades. Public and state sentiments regarding areas of concentrated poverty and segregation in urban space must change for a future of equitable housing to …
36th Annual Student Research Forum Abstract Booklet, University Of Memphis Graduate School, Helen Hardin Honors College, University Of Memphis Graduate Student Association
36th Annual Student Research Forum Abstract Booklet, University Of Memphis Graduate School, Helen Hardin Honors College, University Of Memphis Graduate Student Association
Annual Student Research Forums
No abstract provided.
Evaluating Drowning Prevention Campaigns - The Challenge Of Getting The Right Information To The Right People At The Right Time: A Response To Calverley, Petrass, And Blitvich, Gemma Crawford, Meg Abercromby, Malena Della Bona, Justine E. Leavy Ph.D.
Evaluating Drowning Prevention Campaigns - The Challenge Of Getting The Right Information To The Right People At The Right Time: A Response To Calverley, Petrass, And Blitvich, Gemma Crawford, Meg Abercromby, Malena Della Bona, Justine E. Leavy Ph.D.
International Journal of Aquatic Research and Education
Evidence-informed decision making requires timely and readily available research and evaluation for policy and practice. In the context of drowning prevention, evaluation of interventions in the grey and peer reviewed literature is relatively scarce. Lack of evidence and associated barriers to access limits the scope of knowledge translation efforts and the application of research outcomes to initiatives designed to prevent drowning. The paper, Alcohol Focused Drowning Prevention Campaigns: What Do We Know and What Should We Do Now? highlights a lack of specific evaluation for alcohol-focused drowning prevention campaigns. We offer insights as evaluators of a youth water safety program …
Novel Frameless Linac Radiosurgery Solution For Uveal Melanoma, Louis Cappelli, Mehak Khan, Sudheshna Vemula, Christina Hum, Haisong Lui, Yan Yu, Yingxuan Chen, Yechi Zhang, Muhammad Sharif, Wenyin Shi
Novel Frameless Linac Radiosurgery Solution For Uveal Melanoma, Louis Cappelli, Mehak Khan, Sudheshna Vemula, Christina Hum, Haisong Lui, Yan Yu, Yingxuan Chen, Yechi Zhang, Muhammad Sharif, Wenyin Shi
Department of Radiation Oncology Faculty Papers
INTRODUCTION: Radiation treatment has replaced enucleation as an organ-preservation treatment for patients with uveal melanoma (UM). We developed a novel non-invasive, frameless LINAC based solution for fractionated stereotactic radiosurgery (fSRS) treatment.
METHODS: We designed and constructed the a stereotactic ocular localization box that can be attached and indexed to a stereotactic LINAC tabletop. It contains adjustable LED lights as a gaze focus point and CCD camera for monitoring of the patient's eye position. The device also has 6 infrared spheres compatible with the ExacTRAC IGRT system. Treatment plans were developed using iPLAN Dose version 4.5, with conformal dynamic arcs and …
Selective Vapor Condensation For The Synthesis And Assembly Of Spherical Colloids With A Precise Rough Patch, Kennedy A. Guillot, Philip J. Brahana, Ahmed Al Harraq, Nduka D. Ogbonna, Nicholas S. Lombardo, Jimmy Lawrence, Yaxin An, Michael G. Benton, Bhuvnesh Bharti
Selective Vapor Condensation For The Synthesis And Assembly Of Spherical Colloids With A Precise Rough Patch, Kennedy A. Guillot, Philip J. Brahana, Ahmed Al Harraq, Nduka D. Ogbonna, Nicholas S. Lombardo, Jimmy Lawrence, Yaxin An, Michael G. Benton, Bhuvnesh Bharti
Faculty Publications
Patchy particles occupy an increasingly important space in soft matter research due to their ability to assemble into intricate phases and states. Being able to fine-tune the interactions among these particles is essential to understanding the principles governing the self-assembly processes. However, current fabrication techniques often yield patches that deviate chemically and physically from the native particles, impeding the identification of the driving forces behind self-assembly. To overcome this challenge, we propose a new approach to synthesizing spherical colloids with a well-defined rough patch on their surface. By treating polystyrene microspheres with vapors of a good solvent, here an acetone-water …
03.25.2024 Orsp Connect, Liz Williamson
03.25.2024 Orsp Connect, Liz Williamson
ORED Newsletter
Cammi Thornton, Compliance Training Requirements