Digital Commons Network^™

Failure Analysis Of Light Poles On Highway Bridges Exposed To Extreme Winds, Yanlin Chen

LSU Master's Theses

Light poles are critical secondary structural components that support the functionality and safety of transportation systems. However, they are tall slender structures vulnerable to wind load. This research attempts to analyze the mechanism of the widespread failure (69 poles failed) of light poles on an elevated highway bridge exposed to Category 4 Hurricane Laura (2020). To understand the mechanism of the failure, a comprehensive analysis is conducted. A nonlinear finite element model is created to simulate the structural responses. Wind pressures are obtained and applied to the FEM to perform nonlinear static and transient analysis. Research results indicate that, when …

Undetermined Coefficients With Hyperbolic Sines And Cosines, Laurie A. Florio, George L. Fischer

CODEE Journal

The method of undetermined coefficients is commonly applied to solve linear, constant coefficient, non-homogeneous ordinary differential equations when the forcing function is from a selected class of functions. Often the hyperbolic sine and cosine functions are not explicitly included in this list of functions. Through a set of guided examples, this work argues that the hyperbolic sine and cosine ought to be included in the select class of functions. Careful explanation is provided for the necessary treatment of the cases where the argument of the hyperbolic sine and/or cosine functions matches one or both of the roots of the characteristic …

Enhanced Capabilities For Investigating Local Structure And Magnetism: Three Dimensional Magnetic Pair Distribution Function And Symmetry Mode Analysis, Parker Hamilton

Theses and Dissertations

The local structure, atomic and magnetic structure correlated over a small length scale, of a material has a strong impact on material properties. Pair distribution function (PDF) analysis is a strong tool to investigate local structure and magnetism of this nature. This work outlines extensions to current one dimensional magnetic pair distribution functions (1D-mPDF) and the fitting of structures with symmetry breaking local atomic distortions. 1DmPDF analysis has been used to study local magnetic structure, but requires a rotational averaging of the correlations so directional information is lost, as in powder diffraction experiments. Three dimensional difference magnetic pair distribution function …

Utility Of Body And Otolith Morphometry To Discriminate Cryptic Juveniles Of Two Sympatric Red Snappers (Perciformes: Lutjanidae), Miwa Takahashi, Corey B. Wakefield, Stephen J. Newman, Kyle B. Hillcoat, Benjamin J. Saunders, Euan S. Harvey

Fisheries Research Articles

The sympatric red snappers, Lutjanus erythropterus and Lutjanus malabaricus, are highly valued by commercial and recreational fishers along the tropical northern coasts of Australia and throughout their distribution. Studies on the life history and ecology of these congeners are confounded by difficulties in distinguishing the cryptic juveniles of each species (i.e., < 200 mm total length). This study aimed to validate a robust and cost-effective method to discriminate these juveniles using body and/or otolith morphometric data in a multivariate analysis. Juvenile samples were collected from the northwest (n = 71) and northeast (n = 19) coasts of Australia, and species identification was confirmed using DNA barcoding. The most parsimonious multivariate models achieved accurate species prediction rates of 98.8%, which consisted of just three body variables (dorsal fin length, the distance from the snout to the anterior edge of the eye, and either jaw length or distance from the snout to the preoperculum). The high level of discrimination for these cryptic juveniles highlights the robustness of this morphometric approach. The slightly lower rate of discrimination using otolith morphology (84.9%) was associated with greater regional variation in L. malabaricus between the northwest and northeast coasts. Slight variations in otolith shape are typically used to determine stock structure, which highlights the potential need to collect samples over a broader area of a species geographic range when using an otolith morphometric discrimination model. The method outlined in this study could be applied to distinguish other cryptic congeneric fish species, including from archived otolith collections. Moreover, this method has the potential to be utilized in assessing species compositions using body measurements from in situ stereo-video.

An Object-Based Ground Filtering Of Airborne Lidar Data For Large-Area Dtm Generation, Hunsoo Song, Jinha Jung

Purdue University Libraries Open Access Publishing Fund

Digital terrain model (DTM) creation is a modeling process that represents the Earth’s surface. An aptly designed DTM generation method tailored for intended study can significantly streamline ensuing processes and assist in managing errors and uncertainties, particularly in large-area projects. However, existing methods often exhibit inconsistent and inexplicable results, struggle to clearly define what an object is, and often fail to filter large objects due to their locally confined operations. We introduce a new DTM generation method that performs object-based ground filtering, which is particularly beneficial for urban topography. This method defines objects as areas fully enclosed by steep slopes …

How The Drug Trade Is Facilitated Online: A Qualitative Meta-Synthesis, Jose Aguilar

Online Theses and Dissertations

The drug trade is part of society and will, therefore, continue to evolve as society evolves. Technology plays a significant role in the evolution of society and the drug trade alike. Technological developments such as the internet have facilitated our lives. Several conditions have contributed to the evolution of the drug trade, including the increased and intensifying criminalization of material spaces, which has led to people engaging in crime in and across cyberspace(s). The transnational nature of the emergent digital drug trade has brought with it unique jurisdictional concerns as the globalized world intersects with the global internet to facilitate …

Unh Students, Graduates Powering The Granite State With Eversource, Keith Testa

UNH Today Archive

No abstract provided.

A Post Pandemic Intervention To Reduce Burnout In Nurses In An Acute Care Setting, Erica J. Larson

DNP and Student Works

The purpose of the project was to determine in nurses working in an acute care setting how a positive psychology intervention (Three Good Things), compared with no positive psychology intervention, affects perceived burnout within a four- week period of time.

Characterization Of Small Abdominal Aortic Aneurysms' Growth Status Using Spatial Pattern Analysis Of Aneurismal Hemodynamics, Mostafa Rezaeitaleshmahalleh, Zonghan Lyu, Nan Mu, Xiaoming Zhang, Todd E. Rasmussen, Robert D. Mcbane, Jingfeng Jiang

Michigan Tech Publications

Aneurysm hemodynamics is known for its crucial role in the natural history of abdominal aortic aneurysms (AAA). However, there is a lack of well-developed quantitative assessments for disturbed aneurysmal flow. Therefore, we aimed to develop innovative metrics for quantifying disturbed aneurysm hemodynamics and evaluate their effectiveness in predicting the growth status of AAAs, specifically distinguishing between fast-growing and slowly-growing aneurysms. The growth status of aneurysms was classified as fast (≥ 5 mm/year) or slow (< 5 mm/year) based on serial imaging over time. We conducted computational fluid dynamics (CFD) simulations on 70 patients with computed tomography (CT) angiography findings. By converting hemodynamics data (wall shear stress and velocity) located on unstructured meshes into image-like data, we enabled spatial pattern analysis using Radiomics methods, referred to as "Hemodynamics-informatics" (i.e., using informatics techniques to analyze hemodynamic data). Our best model achieved an AUROC of 0.93 and an accuracy of 87.83%, correctly identifying 82.00% of fast-growing and 90.75% of slowly-growing AAAs. Compared with six classification methods, the models incorporating hemodynamics-informatics exhibited an average improvement of 8.40% in AUROC and 7.95% in total accuracy. These preliminary results indicate that hemodynamics-informatics correlates with AAAs' growth status and aids in assessing their progression.

Pilots’ Desire To Become Future Space Tourism Pilots: Polynomial Regression Using Response Surface Analysis, Robert A. Goehlich, Ralf Bebenroth

Publications

In this study, we investigated the impact of pilots’ motivation on their desire to be space tourism pilots or to remain in their current occupation (adherence). We analyzed the feedback obtained from a survey questionnaire on a sample consisting of 106 pilots with flying experience. In particular, we compared the pilots’ intrinsic and extrinsic motivations to investigate two outcomes: the desire to become future space pilots or to remain as air pilots. Applying the self-determination theory, we found that intrinsic motivation mattered more than extrinsic motivation. Furthermore, by applying response surface analysis as our statistical tool, it was revealed that …

Ict Competence Of Polytechnics-Based Lis Students In The Use Of Online Discussion Forum, Lateef Alhaji Bello (Phd), Saheed Abiola Hamzat (Phd), Idris Tunde Yusuf (Cln), Loretta Odiri Daniel (Cln), Mulikat Bola Aliyu (Phd), Abosede Olufunke Ayeni (Cln)

Library Philosophy and Practice (e-journal)

Online discussion forum (ODF) as an effective pedagogical tool for learning and knowledge construction, designed to make the learning process robust and all-encompassing. It is also expected to facilitate faster and smooth access to learning aid and for individualisation of learning. In spite of its enormous benefits, previous studies have shown that students do not make use of ODF as expected due to factors largely attributed to low level of awareness and perception without recourse to the role of ICT competence could facilitate sustained usage and promote acceptance among students. This study, therefore, investigated ICT competence on the use of …

Gravimetric Geoid For Egypt Based On Properly Application Of Helmet's Method Of Condensations With Window Remove-Restore Technique, Atef Makhloof, Hussein A. Abd-Elmotaal, Mostafa Ashry

Mansoura Engineering Journal

This study uses the window-method for merging the gravity field wavelengths inside the remove-restore technique (RRT) to get the gravimetric geoid for Egypt using Helmert's models of condensation. In this case, the window approach (Abd-Elmotaal and Kühtreiber, 2003) was utilized to avert taking the topographic-condensation masses into account twice inside the data frame. A gravimetric geoid for Egypt has been calculated utilizing Helmert's first and second condensations approach and Airy- Heiskanen model. Within the context of the geoid computation, a thorough comparison between the various Helmert approaches and Airy-Heiskanen has been made. The comparison uses the estimated geoid indicators before …

Deep Learning Techniques For Efficient Evaluation Of Asphalt Pavement Condition, Kamel Mahdy, Ahmed Zekry, Mohamed Moussa, Ahmed Mohamed, Hassan Mahdy, Mohamed Elhabiby

Mansoura Engineering Journal

For the last few decades, researchers have been devising a simple and cost-effective method to evaluate pavement distresses to give decision-makers adequate feedbacks about the pavement condition of a certain road. Fortunately, with the evolution and progression of computer vision tools and techniques, good results had been achieved regarding the detection, classification, and quantification of road distress. In this paper, a new efficient process of road distress analysis using deep learning models is introduced. This new process was tested on a collected road dataset to evaluate the efficiency and speed of this low-cost road maintenance system. Promising results were obtained …

2023 Alfie Scholars Senior Conference Program, Seattle University

Alfie Scholars Conferences

No abstract provided.

Temporal Progression Of Aortic Valve Pathogenesis In A Mouse Model Of Osteogenesis Imperfecta., Kaitlyn Thatcher, Carol R Mattern, Daniel Chaparro, Veronica Goveas, Michael R Mcdermott, Jessica Fulton, Joshua D Hutcheson, Brian Hoffmann, Joy Lincoln

Faculty Research 2023

Organization of extracellular matrix (ECM) components, including collagens, proteoglycans, and elastin, is essential for maintaining the structure and function of heart valves throughout life. Mutations in ECM genes cause connective tissue disorders, including Osteogenesis Imperfecta (OI), and progressive debilitating heart valve dysfunction is common in these patients. Despite this, effective treatment options are limited to end-stage interventions. Mice with a homozygous frameshift mutation in col1a2 serve as a murine model of OI (oim/oim), and therefore, they were used in this study to examine the pathobiology of aortic valve (AoV) disease in this patient population at structural, functional, and molecular levels. …

The Taming Of The Screw, Jerry Zezima

Erma Bombeck Writers' Workshop Blog

You don’t need a master’s degree in nuclear engineering to put furniture together. But I’m glad my son-in-law has one. Otherwise, I wouldn’t have a nice new love seat and a set of matching chairs on the patio.

Skills Matter – Up-Skilling Across Construction Stakeholders For Emerging Roles, Avril Behan, Paul Mccormack, Barry Mcauley

Conference Papers

The EU’s Climate Target Plan To 2030 (European Union 2020b) of achieving at least 55% reduction in Green House Gas emissions from 1990 levels, delivering towards a climate-neutral economy by 2050, requires systems-level change in the way we design, construct, and operate our built assets. Funding initiatives, such as co-ordinated by BUILD UP Skills, aim to deliver upskilling to the market but targets set by the European Skills Agenda may not be reached at current achievement levels. This paper presents the results of one completed and the progress of one ongoing Horizon 2020 funded project, BIMcert and ARISE, respectively. Learning …

Application Of Wray-Agarwal Algebraic Transition Model For Computing Transitional Flow Over Naca 4412 Airfoil, Haoyang Li, Dean Ryan-Simmons

Mechanical Engineering and Materials Science Independent Study

The Wray-Agarwal Algebraic Transition (WA-AT) model has been validated for various ERCOFTAC flat plate cases and airfoil cases. The NACA 4412 is an asymmetric airfoil with unique laminar to turbulent transition characteristics. The NACA 4412 was chosen as a validation case for an undergraduate Independent Study. This paper presents the results of the validation of the Wray-Agarwal Algebraic Transition model for the NACA 4412 airfoil. The one equation WA-AT model shows similar agreement as the four-equation k-ω-SST-γ-Reϴ transition model with experimental data at 3*10^6 Reynolds number for lift coefficient prediction, drag polar, and transition location predictions for an angle of …

Impact Of Retinoic Acid Receptor Alpha Conditional Knockout On Ovarian Follicle Development In The Mouse, Zlata Bogin

College of Science and Health Theses and Dissertations

When there is abnormal endocrine signaling in the follicles, infertility, and ovarian diseases such as polycystic ovarian syndrome (PCOS), premature ovarian failure (POF), and different types of ovarian cancers may occur. Retinoic acid (RA), a biologically active derivative of vitamin A, is a critical signaling molecule that plays a vital role in various physiological processes, including embryonic development, tissue differentiation, and reproductive function. RA has been observed to influence granulosa cell proliferation through a cell signaling cascade involving Retinoic Acid Receptors (RARs), which have three isoforms alpha, beta, and gamma. We characterized a new retinoic acid receptor alpha (RARA) conditional …

Observations Of 25 Ghz Methanol Masers In W51a, Peter Wagstaff

College of Science and Health Theses and Dissertations

High mass stars are important because they alone are responsible for creating the heavy elements in the Universe. The observation of high mass star formation remains a challenging problem in astronomy because high mass stars form in densely clustered environments at large distances from us. Therefore, high angular resolution observations are required to unravel the action taking place in these dense environments. Masers can be used to observe distant regions with high angular resolution because masers are compact and bright sources. Class I methanol masers are believed to form in outflows from protostars where the shock generated by the outflowing …

Phytochemical Profile And Cervical Anticancer Activity Of An In Vitro N-Hexane Extract Of Kunto Dewo Fruit (Kigelia Pinnata) Peel And Flesh, Swarnasari Nurandita Isbandiputri, Surya Dwira, Diyah Kristanty

Indonesian Journal of Medical Chemistry and Bioinformatics

Cervical cancer is the fourth highest cancer occurring and causes death in women. Therefore, adequate management is needed to prevent its development. Currently, the treatment has a variety of adverse side effects, so it needs alternative treatments that are supportive and with minimal side effects. One way is to use herbal plants, such as the Kunto Dewo (Kigelia pinnata) plant which is often used as traditional medicine. This plant has antimicrobial and cytotoxic effects on cancer cells. Knowing the phytochemical profile and in-vitro anticancer activity of the n-hexane extract of peel and flesh of Kunto Dewo (Kigelia pinnata) fruit against …

Impact Analysis Of Gpt Technology Revolution On Fundamental Scientific Research, Mengge Sun, Tao Han, Yanpeng Wang, Yuxin Huang, Xiwen Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The generative large model GPT represented by ChatGPT is developing rapidly, which has aroused extensive discussion in academic circle and the industry and has an incalculable impact on foundational scientific research development. The study first sorts out the development of the GPT technological revolution, and discusses the new changes brought about by this technology in scientific research. Then, based on the three aspects of application status, core principles and innovation subjects, the impact of the GPT technological revolution on basic scientific research and its development suggestions for China are discussed. The study believes that GPT technology can certainly play a …

Research On Multi-Source Heterogeneous Big Data Fusion Based On Wsr, Aihua Li, Weijia Xu, Yong Shi

Bulletin of Chinese Academy of Sciences (Chinese Version)

In the era of multi-source heterogeneous big data, big data presents new features such as cross, diversity and variability. The applications of big data in a wider range of fields have new requirements for data fusion. Under this background, the connotation of data fusion is enriched and expanded. The generalized data fusion includes the fusion of data resources, the fusion of model methods, and the fusion of decision-makers' knowledge and experience. This study analyzes the characteristics of multi-source heterogeneous data fusion at three different fusion levels: data level, information level and decision level, and discusses challenges for data fusion in …

In Silico Prediction Of Acute Chemical Toxicity Of Biocides In Marine Crustaceans Using Machine Learning, Rama Krishnan, Ian S. Howard, Sean Comber, Awadhesh N. Jha

School of Engineering, Computing and Mathematics

Biocides are a heterogeneous group of chemical substances intended to control the growth or kill undesired organisms. Due to their extensive use, they enter marine ecosystems via non-point sources and may pose a threat to ecologically important non-target organisms. Consequently, industries and regulatory agencies have recognized the ecotoxicological hazard potential of biocides. However, the prediction of biocide chemical toxicity on marine crustaceans has not been previously evaluated. This study aims to provide in silico models capable of classifying structurally diverse biocidal chemicals into different toxicity categories and predict acute chemical toxicity (LC50) in marine crustaceans using a set of calculated …

Exotic Herbivores And Fire Energy Drive Standing Herbaceous Biomass But Do Not Alter Compositional Patterns In A Semiarid Savanna Ecosystem, Virginia D. Preiss, Carissa L. Wonkka, Devan A. Mcgranahan, Alexandra G. Lodge, Matthew B. Dickinson, Kathleen L. Kavanagh, Heath D. Starns, Douglas R. Tolleson, Morgan L. Treadwell, Dirac L. Twidwell Jr, William E. Rogers

Department of Agronomy and Horticulture: Faculty Publications

Questions: Fire regime alterations are pushing open ecosystems worldwide past tipping points where alternative steady states characterized by woody dominance prevail. This reduces the frequency and intensity of surface fires, further limiting their effectiveness for controlling cover of woody plants. In addition, grazing pressure (exotic or native grazers) can reinforce woody encroachment by potentially reducing fine-fuel loads. We investigated the effects of different fire energies on the herbaceous plant community, together with mammalian wildlife herbivory (exotic and native combined) exclusion, to inform best management practices.

Location: Texas semi-arid savanna, southern Great Plains, USA.

Methods: We conducted an …

Labor Mobility And The Affordable Care Act: Heterogeneous Impacts Of The Preexisting Conditions Provision, Laura Connolly, Matt Hampton, Otto Lenhart

Michigan Tech Publications

The Patient Protection and Affordable Care Act (ACA) preexisting conditions provision ensures that insurance companies can no longer deny coverage, charge higher premiums, or exclude coverage due to a preexisting health condition. In this paper, we evaluate the impact of the provision on labor mobility. We use data from the Panel Study of Income Dynamics for years 2009 through 2019 and estimate difference-in-differences models to determine whether the provision improved labor mobility for individuals with chronic conditions. While females respond along the extensive margin by being less likely to work, males experience broader labor mobility improvements. Men are more likely …

Neutrosophic Laplace Distribution With Application In Financial Data Analysis, Rahul Thakur, S. C. Malik, Masum Raj

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 57,2023, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi

Neutrosophic Sets and Systems

No abstract provided.

Book Review: The Military And The Market, Ryan Orsini

Parameters Bookshelf – Online Book Reviews

Editors: Jennifer Mittelstadt and Mark R. Wilson

Reviewed by Major Ryan Orsini, Infantry officer, US Army

The Military and the Market is filled with historical and political science case studies to help US policymakers and practitioners navigate the interrelationships between the Department of Defense and the private market. The studies present the success and failure “of regulation and adaptation of individual markets, from on-post housing to local prostitution, and their impact on the military mission and overall social equity.” This book is well suited for policymakers and practitioners at the local and national levels.

Pathways For Medium- And Long-Term Sustainable Supply Of Typical Strategic Metals In China In Context Of Carbon Neutrality, Xianlai Zeng, Jinhui Li, Yong Geng, Han Hao, Weirun Huang, Xin Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Mineral resources are fundamental materials for economic and social development. Irrational exploration, utilization and consumption not only undermine the security of industrial chain and supply chain, but also seriously damage ecosystem. A new round of technological revolution and carbon neutral strategy is reshaping the global innovation distribution and technical structure. As China's economic and social development advances into post-epidemic stage, the supply and demand structure of strategic metal resources has experienced profound changes. The security challenges extend from traditional security of access to resource to the entire chains, including extraction, processing, use and recycling. China's solid waste generation has grown …