Digital Commons Network^™

Structural Damage Detection Using Machine Learning Techniques, Zhuolin Yuan

Summer Interdisciplinary Research Symposium

In order to ensure the integrity of the structure, timely and accurate detection and identification of structural damage during and after an extreme event or over the lifetime of a structure is a very important for safety and economic resons. Structural damage detection and identification techniques can be generally classified into two main categories based on whether they use dynamic or static test data. This research project will use convolutional neural networks, which will focus on leveraging the capabilities of several models and toolkits, including AlexNet, Tensorflow and Pytorch. We will establish baseline performance metrics for an existing CNN-based program …

Narrowing The Universe: A Machine Learning Approach To Patent Clearance, Rebecca Weires, Joshua Rosefelt, Katelyn Meylor, Stephanie Shim, Lindsay Chong

Chicago-Kent Journal of Intellectual Property

Companies cannot reliably predict which patents are likely to be asserted against them. If they could, they would be better able to quantify and mitigate their own patent infringement risk. We used machine learning methods, informed by legal scholars’ understanding of relevant patent traits, to improve on prior attempts to predict litigation. We built primarily on Colleen Chien’s Predicting Patent Litigation. Chien used traits from a patent’s legal history and developed a method of prediction based on the traits acquired before litigation, but not after. She demonstrated that the traits acquired before litigation are useful predictors. Evaluating Chien’s approach, we …

Ai Output: A Human Condition That Should Not Be Protected Now, Or Maybe Ever, Xiao Wang

Chicago-Kent Journal of Intellectual Property

AI is usually considered to be a form of automatic and autonomous work, but when applied to the creation of literary and artistic works, challenges arise in deciding whether the AI is the de facto author of its output and whether AI outputs or AI-generated products should be protected under the copyright system. This article argues that these outputs should be human creations because the working principles of AI determine that AI functions merely as a mathematical tool applied by humans to not only conceive of but also to execute the creation of AI outputs. The creativity reflected in these …

Euphemism And Jus Cogens, G. Alex Sinha

Northwestern Journal of Human Rights

Jus cogens norms of international law encompass the most stringent prohibitions of the law of nations. They reflect a global—and typically moral—consensus about impermissible conduct so complete and forceful that no derogation is permissible under any circumstances. Yet states derogate nevertheless. Lacking any valid legal justification for violating jus cogens norms, derogating states instead seek to euphemize their unlawful conduct. Doing so appears at a glance to be a calculated choice that allows States to have their cake and eat it too—to acknowledge the peremptory norms that purportedly bind all sovereigns while acting freely in violation of those norms by …

Demystifying Data: An Expert Clears Up The Confusion On Today's Hottest Jobs, Matt Windsor

Browse All News

No abstract provided.

Utilizing Image And Caption Information For Biomedical Document Classification., Pengyuan Li, Xiangying Jiang, Gongbo Zhang, Juan Trelles Trabucco, Daniela Raciti, Cynthia Smith, Martin Ringwald, G Elisabeta Marai, Cecilia Arighi, Hagit Shatkay

Faculty Research 2021

MOTIVATION: Biomedical research findings are typically disseminated through publications. To simplify access to domain-specific knowledge while supporting the research community, several biomedical databases devote significant effort to manual curation of the literature-a labor intensive process. The first step toward biocuration requires identifying articles relevant to the specific area on which the database focuses. Thus, automatically identifying publications relevant to a specific topic within a large volume of publications is an important task toward expediting the biocuration process and, in turn, biomedical research. Current methods focus on textual contents, typically extracted from the title-and-abstract. Notably, images and captions are often used …

Fixed Bottom Wind Turbine Wave-Wake Interaction, Ondrej Fercak

Dissertations and Theses

The interest and benefits of offshore wind energy has also brought along legitimate design challenges for engineers. Most notably, the complex interaction between wind and turbine is further complicated by the addition of dynamic ocean waves. This dynamic coupling between wind, wave, and turbine is not fully understood. Even small improvements in wind turbine performance are welcome, so characterizing a fundamental dynamic in offshore energy is necessary to optimize design. Experimentation and simulation have been used to characterize inflow and turbine wakes and separately, wind-wave interactions. But only simulations have just begun to look at the wind, wave, and turbine …

"Technology: Present And Future" Featuring Dr. Jose Morey, Armando F. Sanchez Productions

Armando F. Sanchez Productions collection

Video recording from the "Technology: Present and Future" series featuring host Armando F. Sanchez and his guest Dr. Jose Morey, CEO and founder of Ad Astra Media LLC that provides role models and educational STEAM content to encourage more diversity in STEAM related fields.

Pathcnn: Interpretable Convolutional Neural Networks For Survival Prediction And Pathway Analysis Applied To Glioblastoma, Jung Hun Oh, Wookjin Choi, Euiseong Ko, Mingon Kang, Allen Tannenbaum, Joseph O. Deasy

Computer Science Faculty Research

Motivation: Convolutional neural networks (CNNs) have achieved great success in the areas of image processing and computer vision, handling grid-structured inputs and efficiently capturing local dependencies through multiple levels of abstraction. However, a lack of interpretability remains a key barrier to the adoption of deep neural networks, particularly in predictive modeling of disease outcomes. Moreover, because biological array data are generally represented in a non-grid structured format, CNNs cannot be applied directly. Results: To address these issues, we propose a novel method, called PathCNN, that constructs an interpretable CNN model on integrated multi-omics data using a newly defined pathway image. …

Temperature Dependence Of Field-Response Mechanisms In 0.4ba(Zr0.2Ti0.8)O3-0.6(Ba0.7Ca0.3)Tio3, Chris M. Fancher, Özgür Keleṣ, Matthias Ehmke, Keith J. Bowman

Faculty Research, Scholarly, and Creative Activity

Understanding the temperature dependence of how ferroelectric materials respond to electric fields is critical for determining how best to use these materials in applications. Here, temperature dependent in situ x-ray diffraction is used to study how field-response mechanism Ba(Zr0.2Ti0.8)O3-x(Ba0.7Ca0.3)TiO3 evolves with temperature. Increasing the measurement temperature was found to slightly reduce the extent of domain reversal and the magnitude of the 111 lattice strain. Instead, these results indicate that temperature predominantly impacted the angular dependence of the 002/200 lattice strain. We attribute the observed differences in 002/200 lattice strain to the flattening of the free-energy near the tetragonal-orthorhombic phase boundary, …

An Overview Of Planar Flow Casting Of Thin Metallic Glasses And Its Relation To Slot Coating Of Liquid Films, Eric A. Theisen, Steven J. Weinstein

Articles

Planar flow casting (PFC) is a method that can be used to make thin, long, and wide metallic alloy foils by extruding molten liquid through a thin and wide nozzle and immediately quenching on a moving roller. The quenching rates are high enough that amorphous metallic glasses may be formed which have many desirable properties for a wide variety of applications. This paper reviews how PFC processes were developed, examines the typical operability range of PFC, and reviews the defects that commonly form. The geometrical similarities between PFC and slot coating process are apparent, and this paper highlights differences between …

An Overview Of Planar Flow Casting Of Thin Metallic Glasses And Its Relation To Slot Coating Of Liquid Films, Eric A. Theisen, Steven J. Weinstein

Articles

Planar flow casting (PFC) is a method that can be used to make thin, long, and wide metallic alloy foils by extruding molten liquid through a nozzle slot and immediately quenching on a moving roller. The quenching rates are high enough that amorphous metallic glasses may be formed that have many desirable properties for a wide variety of applications. This paper reviews how PFC processes were developed, examines the typical operability range of PFC, and reviews the defects that commonly form. The geometrical similarities between PFC and slot coating process are apparent, and this paper highlights differences between the operability …

Laboratory And Full-Scale Pavement Sections Testing For Evaluating Frost Action In Cold Regions, Dorin Papuc

Theses and Dissertations

A comprehensive laboratory testing plan was conducted as part of this project to select two frost-susceptible soils for use in constructing three full-scale test strips. A total of 16 soils were obtained from various suppliers in NJ and were evaluated to determine their frost-susceptibility. The evaluation included conducting sieve analysis, hydrometer analysis, and specific gravity. Using these measures, two soils were selected (namely, Soil #2 and Soil #13) for constructing the test strips. The properties (Atterberg Limits, moisture-density relationships, California bearing ratio (CBR), Resilient Modulus among others) were determined through a laboratory testing plan. In addition, this study involved constructing …

The Guardian, Week Of July 12, 2021, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the week of July 12, 2021. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Focus, 2021, Spring, Andrews University

Focus

FOCUS (ISSN 1077-9345) is published quarterly, free of charge, for alumni and friends of Andrews University, an institution owned and operated by the Seventh-day Adventist Church.

Correlating Diffusional Dynamics And Receptor Tyrosine Kinase Function Using Single Quantum Dot Tracking, Irais Ortiz Caraveo

Biomedical Engineering ETDs

Epidermal growth factor receptor (EGFR) signal transduction is initiated via ligand (EGF) binding, followed by dimerization, autophosphorylation of the C-terminal tails, and recruitment of proteins that form a larger signaling complex to propagate the signal. We explored the relationship between receptor mobility and signaling using single-particle tracking (SPT) by examining the diffusional dynamics of EGFR and two truncation mutants to understand whether mobility changes are correlated with signaling. Results revealed that phosphorylation of the C-terminal tail of EGFR is required for maximal reduction in mobility that occurs with EGF stimulation, indicating that receptor mobility is a read-out for receptor signaling. …

Single-Family Residential Flood Loss Reduction Through Freeboard, Ehab Said Gnan

LSU Doctoral Dissertations

The lack of flood loss estimation methods conducted on a micro-scale level that consider the full loss‐exceedance probabilities curve poses a significant problem in flood risk assessment. Also, the lack of robust benefit-cost analysis (BCA) that quantifies benefits at the micro-scale level leads to sub-optimal results, and therefore sub-optimal decisions when determining the optimal freeboard. Further, flood loss assessments focus on owner-occupied housing and neglect rental housing. These loss assessment deficiencies underscore the need for a robust assessment that quantifies the life-cycle benefits for all stakeholders and provides actionable information to enable informed decisions.

This research presents a comprehensive methodology …

In-Vitro And In-Silico Investigations Of Alternative Surgical Techniques For Single Ventricular Disease, Arka Das

Doctoral Dissertations and Master's Theses

Single ventricle (SV) anomalies account for one-fourth of all cases of congenital Heart disease. The conventional second and third stage i.e. Comprehensive stage II and Fontan procedure of the existing three-staged surgical approach serving as a palliative treatment for this anomaly, entails multiple complications and achieves a survival rate of 50%. Hence, to reduce the morbidity and mortality rate associated with the second and third stages of the existing palliative procedure, the novel alternative techniques called “Hybrid Comprehensive Stage II” (HCSII), and a “Self-powered Fontan circulation” have been proposed. The goal of this research is to conduct in-vitro investigations to …

An Exploration Of Soil Moisture Reconstruction Techniques, Spencer Nishimoto Low

Theses and Dissertations

Satellite radiometers are used to remotely measure properties of the Earth's surface. Radiometers enable wide spatial coverage and daily temporal coverage. Radiometer measurements are used in a wide array of applications, including freeze/thaw states inference, vegetation index calculations, rainfall estimation, and soil moisture estimation. Resolution enhancement of these radiometer measurements enable finer details to be resolved and improve our understanding of Earth. The Soil Moisture Active Passive (SMAP) radiometer was launched in April 2014 with a goal to produce high resolution soil moisture estimates. However, due to hardware failure of the radar channels, prepared algorithms could no longer be used. …

Probabilistic Analysis Of The Active Earth Pressure On Earth Retaining Walls For C‑Φ Soils According To The Mazindrani And Ganjali Method, Julian Osorio, Juan Camilo Viviescas, Juan Pablo Osorio

Articles

The determination of the earth pressure coefficients (K) in geotechnical engineering is one of the most critical procedures in designing earth retaining walls. However, most earth pressure theories are made for either clay or sands, where the c-ϕ soils are the least analysed. In this paper, an analysis of the earth pressure for drained mixed soils based in Mazindrani and Ganjali (J Geotech Geoenviron Eng 123:110–112, 1997) theory was carried out. Earth pressure coefficients are generally used in a deterministic way and can represent designs under an inadmissible risk. Therefore, Reliability-based design arises as an essential tool to deal with …

Newsroom, Georgia Southern University

Newsroom (2006-2023)

• Georgia Southern’s STEM outreach unit has new name

A Bibliometric Study On Research Of Cloud Computing In Libraries, Shanmugam Rajeswari, Praveena Krish

Library Philosophy and Practice (e-journal)

Cloud Computing is internet based computing where virtual shared servers provide software, infrastructure, platform devices and other resources and hosting to customers on a pay-as-you-use basis. All information that a digitized system has to offer is provided as a service in the cloud computing model. Users can access these services available on the “Internet Cloud” without having any previous know- how on managing the resources involved. Publication is essential to productivity in research, the work will be recognized only when it takes a conservative, physical form which can be received , accessed and recongised by professionals. This study aims to …

Disrupting The (Post) Neoliberal Order In Latin America Through The Representation Of Fictional Corporate Office Narratives In Argentina And Mexico (2007-2010), Juliana Todescan

Spanish and Portuguese ETDs

Due to the expansion of the neoliberal and global order in Latin America in the 1990s, national states and citizens are subjected to the free market interests regulated and managed by for profit corporations and the financial industry. Considering this a critical change in the social organization of Latin America, I compare narratives from Argentina and Mexico that imagine cosmopolitan cities being colonized by the corporate logic of profit. My analysis focuses on the representation of low level office workers in Antonio Ortuño’s novel Recursos humanos (2007), Guillermo Saccomanno’s novel El oficinista (2010), and Aníbal Jarkowski’s El trabajo (2007), and …

Use Of Machine Learning For Automated Convergence Of Numerical Iterative Schemes, Leonardo A. Bueno-Benitez

Doctoral Dissertations and Master's Theses

Convergence of a numerical solution scheme occurs when a sequence of increasingly refined iterative solutions approaches a value consistent with the modeled phenomenon. Approximations using iterative schemes need to satisfy convergence criteria, such as reaching a specific error tolerance or number of iterations. The schemes often bypass the criteria or prematurely converge because of oscillations that may be inherent to the solution. Using a Support Vector Machines (SVM) machine learning approach, an algorithm is designed to use the source data to train a model to predict convergence in the solution process and stop unnecessary iterations. The discretization of the Navier …

Stress And Molecular Drivers For Cancer Progression: A Longstanding Hypothesis, Justin Wendel, A. Verma, Vijian Dhevan, Subhash C. Chauhan, Manish Tripathi

School of Medicine Publications

Stress management is becoming very important part of cancer patient care. Chronic stressors lead to boost tumorigenesis and promote cancer development, recurrence, and drug resistant leading to poor health outcomes. The Hypothalamic-Pituitary-Adrenal (HPA) axis, which is activated by stress, also regulates Hypothalamic-Pituitary-Thyroid (HPT) axis. Stress related changes in immune function and inflammatory response also leads to reduced immune surveillance resulting in tumorigenesis. This article explores the hormonal axis impacted by stress and how chronic stress can lead to poor outcome of a cancer patient.

Net Gains – Confronting The Challenge Of The Marine Litter Head-On, J Graham-Jones, J Summerscales, B Bryant, A Burton

School of Engineering, Computing and Mathematics

The University of Plymouth, UK, is confronting the challenge of marine litter head-on. Here, the research team reveal their progress.

Board Of Directors Meeting Minutes (July 12, 2021), Dmacc

Board of Directors Meeting Minutes

This file contains the minutes from the Des Moines Area Community College Board meeting held on July 12, 2021.

Graph-Theoretic Partitioning Of Rnas And Classification Of Pseudoknots-Ii, Louis Petingi

Publications and Research

Dual graphs have been applied to model RNA secondary structures with pseudoknots, or intertwined base pairs. In previous works, a linear-time algorithm was introduced to partition dual graphs into maximally connected components called blocks and determine whether each block contains a pseudoknot or not. As pseudoknots can not be contained into two different blocks, this characterization allow us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, while keeping these sub-structures intact. Moreover we have extended the partitioning algorithm by classifying a pseudoknot as either recursive or non-recursive in order to continue with our research …

10 Point Spring Tune-Up For Tourism And Hospitality Businesses, Jada Lindblom Ph.D., Penelope Whitman M.T.A.

UNH Cooperative Extension

Ten points to focus on when reevaluating your tourism business.

System And Method For Rapid Resource Provider Support, Elizabeth Rich, Helen Jing Jing Wang, Joy Guerra, Keith Foy, Alex Hoye, Julia Hinger, Sonie Botta, Swapnil Baware, Moorthi Nataraj, Mimie Wu, Catherine Dillon, Rahul Deou

Defensive Publications Series

The present disclosure relates a method and system (100) for promoting businesses during or after emergency events. Data is received and the received data is related to businesses associated with a specific geographic area where emergency event had occurred. The transactions are occurring at one or more merchants within the specific geographic area are determined. A display of information regarding the one or more merchants is provided on a graphical user interface. The graphical user interface is configured to allow a user to perform operations such as filtering businesses, picking from a list of predicted business categories, pick business names, …