Digital Commons Network^™

Toward An Interactive, Patient-Specific, Vr-Based Obstetrics Simulator, Michel A. Audette, Marco Parente, Dulce Oliveira, Sreekanth Arikatla, Alfred Abuhamad, Rumit Singh Kakar, Mark Scerbo, Lucia Tabacu, John Conery, Christopher Macgowan, Renato Natal Jorge

Electrical & Computer Engineering Faculty Publications

This paper presents a nascent collaborative effort to achieve a Virtual Reality (VR)-based, real-time, haptics-driven patient-specific obstetrics simulator. The high-level architecture and preliminary results are presented here; the latter are based on offline birthing simulation developed by team in conjunction with open-source visualization tools. The cornerstones of this simulator will be high-fidelity generic offline birthing simulation, an anatomy-to-image nonrigid registration pipeline exploiting fetal MRI, the open-source interactive medical simulation toolkit IMSTK augmented by high-throughput deep learning-based soft tissue deformation, open-source musculoskeletal dynamics simulation platform SimTk for representing fetal motion. The initial emphasis will be on shoulder dystocia. The two main …

Synthesis Of A Gemini Monomer And Cyclobutane-Containing Bifunctional Building Blocks For Novel Materials, Rahul Kumar Shahni

Theses and Dissertations

Gemini monomer, a new monomeric class that consists of two monomeric units connected by a covalent linker, can offer a highly dense polymeric framework. Moreover, their ability to form twice the number of covalent bonds than the conventional monomer can afford polymers with high thermal and mechanical strength. The desired Gemini monomer, ethylene 1,2-bis (2,4-pentadienoate) (EBP), was synthesized in two steps. First, an acid precursor 2,4-pentadienoic acid was synthesized by the condensation of malonic acid and acrolein. Second, ethylene glycol was used to connect two 2,4-pentadienoic acid units to obtain the monomer. Later, EBP was polymerized in ambient and solvent-free …

Transcriptomic And Pharmacological Characterization Of A Murine Line Harboring An Antidepressant-Insensitive Serotonin Transporter, Meghan Alicia Rodriquez

Theses and Dissertations

Perinatal depression is a complex mood disorder often treated with Selective Serotonin Reuptake Inhibitor (SSRI) antidepressants, which block the serotonin transporter (SERT) and alter synaptic serotonin concentrations. The serotonergic system is highly plastic and serotonin regulates the growth and maturation of neurons and signaling systems from conception through end of life. Notably, interference with serotonin levels during an SSRI sensitive window (SSW) of development in humans and rodents has been linked to neurovegetative effects which increase susceptibility for the manifestation of anxiety- and depressive-like behaviors and can be persistent throughout life. We hypothesize the persistent behavioral perturbations resulting from acute …

Estimation Of Spacecraft Attitude Motion And Vibrational Modes Using Simultaneous Dual-Latitude Ground-Based Data, Zachary William Henry

Doctoral Dissertations and Master's Theses

Cutting-edge Space Situational Awareness (SSA) research calls for improved methods for rapidly characterizing resident space objects. In this thesis, this will take the form of speeding up convergence of spacecraft attitude estimates, and of a non-model-based approach to the detection of vibrational modes. Because attitude observability from photometric data is angle-based, dual-site simultaneous photometric observations of a resident space object are predicted to improve the convergence speed and steady-state error of spacecraft attitude state estimation from ground-based sensor data. Additionally, it is predicted that by adding polarimetric data to the measurements, the speed of convergence and steady-state error will be …

Proton Aurora At Mars: Assessing The Characteristics, Variability, And Driving Mechanisms Of A Newly Discovered Phenomenon, Andréa C.G. Hughes

Doctoral Dissertations and Master's Theses

The purpose of this doctoral research dissertation is to develop a deeper understanding of the phenomenology, variability and driving processes of proton aurora at Mars. Proton aurora are the most recently discovered of the three types of Martian aurora. Due to Mars’ lack of a global dipole magnetic field, the formation processes of Martian proton aurora are uniquely different than aurora on Earth. Martian proton aurora are expected to form on the planet’s dayside via electron stripping/charge exchange processes between solar wind protons and the neutral hydrogen corona. Herein, I present the results of a study of proton aurora at …

Les Lésions Professionnelles De La Coiffe Des Rotateurs De L’Épaule : Optimiser La Prise En Charge Des Travailleurs Et Favoriser Le Retour Au Travail : Guide De Pratique Clinique (Document Synthèse), François Desmeules, Jean-Sébastien Roy, Joseph-Omer Dyer, Pierre Frémont, Clermont Dionne, Joy C. Macdermid, Michel Tousignant, Annie Rochette, Simon Lafrance, Véronique Lowry, Pierre Frémont, Tatiana Vukobrat

Guides

No abstract provided.

Arthroscopic Treatment Of Cystic Talus Osteochondral Lesions: Long-Term Results, Cary Chapman

All Publications

No abstract provided.

Enhancing Mixed Traffic Flow Safety Via Connected And Autonomous Vehicle Trajectory Planning With A Reinforcement Learning Approach, Yanqiu Cheng, Chenxi Chen, Xianbiao Hu, Kuanmin Chen, Qing Tang, Yang Song

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The longitudinal trajectory planning of connected and autonomous vehicle (CAV) has been widely studied in the literature to reduce travel time or fuel consumptions. The safety impact of CAV trajectory planning to the mixed traffic flow with both CAV and human-driven vehicle (HDV), however, is not well understood yet. This study presents a reinforcement learning modeling approach, named Monte Carlo tree search-based autonomous vehicle safety algorithm, or MCTS-AVS, to optimize the safety of mixed traffic flow, on a one-lane roadway with signalized intersection control. Crash potential index (CPI) is defined to quantitively measure the safety performance of the mixed traffic …

Rest In Christ: Adult Sabbath School Bible Study Guide: Teacher's Edition, Gerald Klingbeil, Chantal J. Klingbeil

All Books

No abstract provided.

God Will Provide: Tithes, Offerings, And Our Spiritual Life, Felix Cortez

All Books

No abstract provided.

The Gospel For Everyone: A Study In The Gospel Of Luke On The Inclusion Of Marginalized Social Groups, Hebert Davi Liessi

All Books

Salvation is a broad and controversial issue. The author of the third gospel, Luke, wrote in a socially inclusive approach to Jesus Christ's salvation. His focus is that the gospel serves all people, including groups marginalized by society to dominant groups. Through reading this book, you can see the social groups, the different methodologies, and the results of the salvation offered by Jesus Christ.

Nitrogen Response Functions Targeted To Technology Extrapolation Domains In Ethiopia Using Ceres-Maize, Feyera Merga Liben, Charles S. Wortmann, Haishun Yang, Tsegaue Tadesse, Z. P. Stewart, D. Wegary, W. Mupangwa

Department of Agronomy and Horticulture: Faculty Publications

The profitability of fertilizer-N use can be optimized using N response functions specific to climate-based technology extrapolation domains (TED). Crop growth simulation can complement field research for targeting of response functions. The objective of this study was to target maize (Zea mays L.) N response functions to seven TED in Ethiopia through CERES-Maize simulation of continuous maize over 30 yr. The complete factorial set of treatments included seven levels of N in 25 kg ha⁻¹ increments under no-till (NT) and conventional tillage (CT) systems. The CERES-Maize simulated experiments were done for two or three sites per TED. Nitrogen …

Wild Emmer Introgression Alters Root-To-Shoot Growth Dynamics In Durum Wheat In Response To Water Stress, Harel Bacher, Feiyu Zhu, Tian Gao, Kan Liu, Balpreet Dhatt, Tala Awada, Chi Zhang, Assaf Distelfeld, Hongfeng Yu, Zvi Peleg, Harkamal Walia

Department of Agronomy and Horticulture: Faculty Publications

Water deficit during the early vegetative growth stages of wheat (Triticum) can limit shoot growth and ultimately impact grain productivity. Introducing diversity in wheat cultivars to enhance the range of phenotypic responses to water limitations during vegetative growth can provide potential avenues for mitigating subsequent yield losses. We tested this hypothesis in an elite durum wheat background by introducing a series of introgressions from a wild emmer (Triticum turgidum ssp. dicoccoides) wheat. Wild emmer populations harbor rich phenotypic diversity for drought-adaptive traits. To determine the effect of these introgressions on vegetative growth under water-limited conditions, we used image-based phenotyping to …

Impact Of Expanded Fda Indication For Icosapent Ethyl On Enhanced Cardiovascular Residual Risk Reduction, Seth Baum

All Publications

Hypertriglyceridemia is associated with increased cardiovascular disease (CVD) risk. The Reduction of Cardiovascular Events with Icosapent Ethyl-Intervention Trial (REDUCE-IT) demonstrated that the purified, stable ethyl ester of eicosapentaenoic acid, icosapent ethyl (IPE), added to statins reduced CVD events by 25% (p < 0.001), leading to an expanded indication in the USA. IPE is now approved as an adjunct to maximally tolerated statins to reduce CVD event risk in adults with triglyceride (TG) levels ≥150 mg/dl and either established CVD or diabetes mellitus plus ≥2 additional CVD risk factors. The new indication allows co-administration of IPE for elevated TG levels with statin treatment, enabling effective residual risk reduction in a broader at-risk population beyond what can be achieved with intensive low-density lipoprotein cholesterol control alone.

Keywords: cardiovascular disease; eicosapentaenoic acid; heart diseases; hypertriglyceridemia; icosapent ethyl; triglycerides.

Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann

Faculty Scholarship

The proliferation of artificial intelligence in our daily lives has spawned a burgeoning literature on the dawn of dehumanized, algorithmic governance. Remarkably, the scholarly discourse overwhelmingly fails to acknowledge that automated, non-human governance has long been a reality. For more than a century, policymakers have relied on regulations that automatically adjust to changing circumstances, without the need for human intervention. This article surveys the track record of self-adjusting governance mechanisms to propose a normative theory of automated regulation.

Effective policymaking frequently requires anticipation of future developments, from technology innovation to geopolitical change. Self-adjusting regulation offers an insurance policy against the …

Inside The Master's Gates: Resources And Tools To Dismantle Racism And Sexism In Higher Education, Susan Ayres

Faculty Scholarship

The spring of 2020 saw waves of protest as police killed people of color. After George Floyd’s death, protests erupted in over 140 cities. The systemic racism exhibited by these killings has been uncontrollable, hopeless, and endless. Our country is facing a national crisis. In response to the police killings, businesses, schools, and communities held diversity workshops across the nation, and businesses and organizations posted antiracism statements. Legislators and City Councils introduced bills and orders to defund police and to limit qualified immunity. As schools prepared for the fall semester, teachers considered ways to incorporate antiracism materials into the curriculum. …

Ethical Challenges In The Middle Tier Of Covid-19 Vaccine Allocation: Guidance For Organizational Decision-Making, Nancy Berlinger, Matthew Wynia, Tia Powell, Aimee Milliken, Parinda Khatri, Fatma Marouf, Keisha Ray, Johanna Crane

Faculty Scholarship

This supplement to The Hastings Center’s “Ethical Framework” aims to help structure time-sensitive discussion of significant, foreseeable ethical concerns in responding to Covid-19 and to support collaboration across institutions throughout pandemic response and recovery. It is designed for use by county health systems and by hospitals, community health centers, and other health care organizations responsible for patient care or preventive health, including vaccine education, vaccine distribution, and vaccination. This document aims to support formal and informal convening and policy work within the same geographic region, such as a municipality, county, metropolitan area, state, or multistate area, led by public health …

Data-Driven Identification Of Governing Partial Differential Equations For The Transmission Line Systems, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

Discovering governing equations for transmission line is essential for the study on its properties, especially when the nonlinearity is introduced in a transmission line system. In this paper, we propose a novel data-driven approach for deriving the governing partial differential equations based on the spatial-temporal samples of current and voltage in the transmission line system. The proposed method is based on the ridge regression algorithm to determine the active spatial differential terms from the candidate library that includes nonlinear functions, in which the time and spatial derivatives are estimated by using polynomial interpolation. Three examples, including uniform and nonuniform transmission …

Microsphere Photolithography Patterned Nanohole Array On An Optical Fiber, Ibrahem Jasim, Jiayu Liu, Chen Zhu, Muhammad Roman, Jie Huang, Edward Kinzel, Mahmoud Almasri

Electrical and Computer Engineering Faculty Research & Creative Works

Microsphere Photolithography (MPL) is a nanopatterning technique that utilizes a self-assembled monolayer of microspheres as an optical element to focus incident radiation inside a layer of photoresist. The microspheres produces a sub-diffraction limited photonic-jet on the opposite side of each microsphere from the illumination. When combined with pattern transfer techniques such as etching/lift-off, MPL provides a versatile, low-cost fabrication method for producing hexagonal close-packed metasurfaces. This article investigates the MPL process for creating refractive index (RI) sensors on the cleaved tips of optical fiber. The resonant wavelength of metal elements on the surface is dependent on the local dielectric environment …

Optimal Bidding Strategy For Physical Market Participants With Virtual Bidding Capability In Day-Ahead Electricity Markets, Hossein Mehdipourpicha, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Virtual bidding provides a mechanism for financial players to participate in wholesale day-ahead (DA) electricity markets. The price difference between DA and real-time (RT) markets creates financial arbitrage opportunities for financial players. Physical market participants (MP), referred to as participants with physical assets, can also take advantage of virtual bidding but in a different way, which is to further amplify the value of their physical assets. Therefore, this work proposes a model for such physical MPs to maximize the profits. This model employs a bi-level optimization approach, where the upper-level subproblem maximizes the total profit from both physical generations and …

Novel Adaptive Sampling Algorithm For Pod-Based Non-Intrusive Reduced Order Model, Jiachen Wang, Xiaosong Du, Joaquim R.R.A. Martins

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The proper orthogonal decomposition (POD) based reduced-order model (ROM) has been an effective tool for flow field prediction in the engineering industry. The sample selection in the design space for POD basis construction affects the ROM performance sensitively. Adaptive sampling can significantly reduce the number of samples to achieve the required model accuracy. In this work, we propose a novel adaptive sampling algorithm, called conjunction sampling strategy, which is based on proven strategies. The conjunction sampling strategy is demonstrated on airfoil flow field prediction within the transonic regime. We demonstrate the performance of the proposed strategy by running 10 trials …

A Convolutional Neural Network Model Based On Multiscale Structural Similarity For The Prediction Of Flow Fields, Yifu An, Xiaosong Du, Joaquim R.R.A. Martins

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We have seen the emerging applications of deep neural networks for flow field predictions in the past few years. Most of the efforts rely on the increased complexity of the model itself or take advantage of novel network architectures, such as convolutional neural networks (CNN). However, reaching low prediction error cannot guarantee the quality of the predicted flow fields in terms of the perceived visual quality. This work introduces the multi-scale structural similarity (MS-SSIM) index method for flow field prediction. First, we train CNN models using the commonly used root mean squared error (RMSE) loss function as the reference. Then …

Conservative Clothing Effects On Body Composition Assessment By Air Displacement Plethysmography, Shaun L. Orvell, Kasuen Mauldin, John Gieng

Faculty Research, Scholarly, and Creative Activity

International Journal of Exercise Science 14(4): 687-695, 2021. Form-fitting spandex swimsuits or single-layer compression shorts are recommended during BOD POD® testing to ensure accurate results. The purpose of this study was to evaluate the effects of various outfit types on body composition measurements using the BOD POD®, and self-reported comfort level wearing each outfit. Twenty-one participants, 8 females and 13 males, (age 31.6 ± 9.8 years) wore a spandex swim cap and three different outfits during BOD POD® testing (manufacturer-recommended form-fitting spandex swimsuit, short sleeve spandex, long sleeve spandex). Measured variables include body mass, body fat percentage, body volume, and …

An Examination Of Factors Influencing National Reputation Of India Among South Asians On Social Media, Nisha Garud-Patkar

Faculty Research, Scholarly, and Creative Activity

Social media play a central role in governments’ communication with foreign citizens, but little is done to understand how such platforms build national reputation. To fill this research gap, the study examines online engagement, online social relations, and information use that predict national reputation in the social media context. National reputation is examined through a survey of 387 South Asian social media followers of the Indian government. Results show that online engagement of users with the Indian government and their information use related to India are positively associated with national reputation. However, users’ online social relations with Indians is negatively …

Simulations Of Single- And Two-Tone Tm-Doped Optical Fiber Laser Amplifiers, Tathagata Goswami, J. Grosek, Jay Gopalakrishnan

Mathematics and Statistics Faculty Publications and Presentations

This work uses numerical simulations of a thulium-doped optical fiber amplifier to predict various performance characteristics such as peak temperatures, expected output powers and efficiencies, presence of amplified spontaneous emission (ASE), and transverse mode instability (TMI) onset power thresholds. Single- and two-tone configurations are studied. In the latter case, the two laser sources are separated in frequency by the amount that corresponds to the peak Raman gain, and a few seed ratios at various total seed powers are examined. The goal is to provide the field with pertinent information on what is feasible for this type of amplifier.

Torsion And Curvature In Continuously Defective Solid Crystals, Marek Z. Elźanowski

Mathematics and Statistics Faculty Publications and Presentations

I show how one can utilize the concept of a canonical connection on a homogeneous space to describe defectiveness of a continuous elastic crystal solid.

Five Ps (Policies, Practices, Power Structures, Places; And People): A Framework To Analyze Systemic Inequalities, Eva Thanheiser, Lisa Weasel, Idowu Ajibade, Larry Martinez, Gina Greco

Mathematics and Statistics Faculty Publications and Presentations

This chart is part of a framework to establish institutional equity and is part of the following National Science Foundation grant project:

The Spaces of Empowerment for Equity and Diversity: Advancement Through Access (SEE-DATA) project at Portland State University (PSU) aims to identify, understand, and improve the workplace experiences and retention of faculty in STEM fields who have been traditionally minoritized and marginalized based on gender, race/ethnicity, and other intersectional identities (e.g., sexual orientation, disability, socioeconomic status, national origin, immigrant status). The project will collect, analyze, and map data about faculty’s experiences at PSU to inform programs and policies that …

Effects Of Figural And Numerical Presentation Formats On Growing Pattern Performance, Marta K. Mielicki, Charlies J. Fitzsimmons, Lauren H. Woodbury, Hannah Marshal, Dake Zhang, Ferdinand D. Rivera, Clarissa A. Thompson

Faculty Research, Scholarly, and Creative Activity

Prior work exploring preschool-aged children’s reasoning with repeating patterns has shown that patterning ability is an important predictor of math achievement; however, there is limited research exploring older children’s growing pattern task performance. The current study tested whether presentation format impacts performance on growing pattern problems, and whether the effects of presentation format extend to transfer word problems for which no patterns are provided. Sixth grade students were randomly assigned to complete several growing pattern tasks in one of three presentation formats (figures, sequences of values, or tables of values), and later completed transfer story problems with no figures, sequences, …

Model-Based Clustering, Classification, And Discriminant Analysis Using The Generalized Hyperbolic Distribution: Mixghd R Package, Cristina Tortora, Ryan P. Browne, Aisha Elsherbiny, Brian C. Franczak, Paul D. Mcnicholas

Faculty Research, Scholarly, and Creative Activity

The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD). This approach is suitable for data that can be considered a realization of a (multivariate) continuous random variable. The GHD has the advantage of being flexible due to skewness, concentration, and index parameters; as such, clustering methods that use this distribution are capable of estimating clusters characterized by different shapes. The package provides five different models all based on the GHD, an efficient routine for discriminant analysis, and a function to measure cluster agreement. This paper is split into three parts: the …

On The Edge Irregular Reflexive Labeling Of Corona Product Of Graphs With Path, Kooi Kuan Yoong, Roslan Hasni, Muhammad Irfan, Ibrahim Taraweh, Ali Ahmad, Sin Min Lee

Faculty Research, Scholarly, and Creative Activity

We define a total k-labeling (Formula presented.) of a graph G as a combination of an edge labeling (Formula presented.) and a vertex labeling (Formula presented.) such that (Formula presented.) if (Formula presented.) and (Formula presented.) if (Formula presented.) where (Formula presented.) The total k-labeling (Formula presented.) is called an edge irregular reflexive k-labeling of G if every two different edges has distinct edge weights, where the edge weight is defined as the summation of the edge label itself and its two vertex labels. Thus, the smallest value of k for which the graph G has the edge irregular reflexive …