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Comment Letter For 2022 Stormwater Bmps Repair, Inspection Report, And Maintenance Work Plan (Dated February 16, 2023, Received August 25, 2023), Nikia Greene Oct 2023

Comment Letter For 2022 Stormwater Bmps Repair, Inspection Report, And Maintenance Work Plan (Dated February 16, 2023, Received August 25, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.


State Space Modeling And Estimation Of Flexible Structure Using The Theory Of Functional Connections, Carlo Lombardi, Riccardo Bevilacqua Oct 2023

State Space Modeling And Estimation Of Flexible Structure Using The Theory Of Functional Connections, Carlo Lombardi, Riccardo Bevilacqua

Student Works

In this work, we present a novel method to model the dynamics of a continuous structure based on measurements taken at discrete points. The method is conceived to provide new instruments to address the problem of flexible dynamics modeling in a spacecraft, where an effective mathematical representation of the non-rigid behavior of the is of critical importance in the design of an effective and reliable attitude estimation and control system. Both the measurements and the model that describes the structure can be affected by uncertainty. The purpose of the developed method is to estimate the position and the velocity of …


Stability Of Deep Neural Networks For Feedback-Optimal Pinpoint Landings, Omkar S. Mulekar, Hancheol Cho, Riccardo Bevilacqua Oct 2023

Stability Of Deep Neural Networks For Feedback-Optimal Pinpoint Landings, Omkar S. Mulekar, Hancheol Cho, Riccardo Bevilacqua

Student Works

The ability to certify systems driven by neural networks is crucial for future rollouts of machine learning technologies in aerospace applications. In this study, the neural networks are used to represent a fuel-optimal feedback controller for two different 3-degree-of-freedom pinpoint landing problems. It is shown that the standard sum-ofsquares Lyapunov candidate is too restrictive to assess the stability of systems with fuel-optimal control profiles. Instead, a parametric Lyapunov candidate (i.e. a neural network) can be trained to sufficiently evaluate the closed-loop stability of fuel-optimal control profiles. Then, a stability-constrained imitation learning method is applied, which simultaneously trains a neural network …


10.02.2023 Orsp Connect, Liz Williamson Oct 2023

10.02.2023 Orsp Connect, Liz Williamson

ORED Newsletter

No abstract provided.


The Development Of A One-Shot Learning Machine Learning For Industrial Use With Predictive Maintenance, Conor O Brien Oct 2023

The Development Of A One-Shot Learning Machine Learning For Industrial Use With Predictive Maintenance, Conor O Brien

Theses

With the advent of Industry 4.0, Manufacturing operations have become more connected and automated. Modern industrial monitoring technology can monitor the performance of both the sensor utilised and the material under monitoring. This has led to a trend where legacy machines without this technology are being removed from production and/or not included in new reconfigurations of production lines, well before their productive lifespan had ended. A key driver for this is the difficulty in retrofitting Predictive Maintenance (PdM) systems to legacy machines, in part due to the machine-to-machine variation present in older machines. Accounting for this variation in PdM systems …


A Survey Of Eeg And Machine Learning-Based Methods For Neural Rehabilitation, Jaiteg Singh, Farman Ali, Rupali Gill, Babar Shah, Daehan Kwak Oct 2023

A Survey Of Eeg And Machine Learning-Based Methods For Neural Rehabilitation, Jaiteg Singh, Farman Ali, Rupali Gill, Babar Shah, Daehan Kwak

All Works

One approach to therapy and training for the restoration of damaged muscles and motor systems is rehabilitation. EEG-assisted Brain-Computer Interface (BCI) may assist in restoring or enhancing ‘lost motor abilities in the brain. Assisted by brain activity, BCI offers simple-to-use technology aids and robotic prosthetics. This systematic literature review aims to explore the latest developments in BCI and motor control for rehabilitation. Additionally, we have explored typical EEG apparatuses that are available for BCI-driven rehabilitative purposes. Furthermore, a comparison of significant studies in rehabilitation assessment using machine learning techniques has been summarized. The results of this study may influence policymakers’ …


Synthesizing Sentience: Integrating Large Language Models And Autonomous Agents For Emulating Human Cognitive Complexity, Jay Ratican, James Hutson, Daniel Plate Oct 2023

Synthesizing Sentience: Integrating Large Language Models And Autonomous Agents For Emulating Human Cognitive Complexity, Jay Ratican, James Hutson, Daniel Plate

Faculty Scholarship

The paper aims to present a novel methodology for emulating the intricacies of human cognitive complexity by ingeniously integrating large language models with autonomous agents. Grounded in the theoretical framework of the modular mind theory-originally espoused by Fodor and later refined by scholars such as Joanna Bryson—the study seeks to venture into the untapped potential of large language models and autonomous agents in mirroring human cognition. Recent advancements in artificial intelligence, exemplified by the inception of autonomous agents like Age in GPT, auto GPT, and baby AGI, underscore the transformative capacities of these technologies in diverse applications. Moreover, empirical studies …


Electrode Effect On Ferroelectricity In Free-Standing Membranes Of Pbzr0.2Ti0.8O3, Qiuchen Wu, Kun Wang, Alyssa Simpson, Yifei Hao, Jia Wang, Dawei Li, Xia Hong Oct 2023

Electrode Effect On Ferroelectricity In Free-Standing Membranes Of Pbzr0.2Ti0.8O3, Qiuchen Wu, Kun Wang, Alyssa Simpson, Yifei Hao, Jia Wang, Dawei Li, Xia Hong

Department of Physics and Astronomy: Faculty Publications

We report the effects of screening capacity, surface roughness, and interfacial epitaxy of the bottom electrodes on the polarization switching, domain wall (DW) roughness, and ferroelectric Curie temperature (TC) of PbZr0.2Ti0.8O3 (PZT)- based free-standing membranes. Singe crystalline 10−50 nm (001) PZT and PZT/La0.67Sr0.33MnO3 (LSMO) membranes are prepared on Au, correlated oxide LSMO, and two-dimensional (2D) semiconductor MoS2 base layers. Switching the polarization of PZT yields nonvolatile current modulation in the MoS2 channel at room temperature, with an on/off ratio of up to 2 × 105 …


The Rider (2023-10-02), Natalie Lapsley Oct 2023

The Rider (2023-10-02), Natalie Lapsley

The Rider Archives

Vol.9 No.6


Microstructural Characterization Of The Transition In Ss316l And In625 Bimetallic Fabricated Using Hybrid Additive Manufacturing, Christopher J. Bettencourt, Nadia Kouraytem Oct 2023

Microstructural Characterization Of The Transition In Ss316l And In625 Bimetallic Fabricated Using Hybrid Additive Manufacturing, Christopher J. Bettencourt, Nadia Kouraytem

Mechanical and Aerospace Engineering Faculty Publications

Nearly all energy technologies utilize heat exchangers and recuperators within the power cycle. To further improve the cost-effectiveness of recuperators, costly high temperature Inconel 625 superalloy was substituted with a more affordable Stainless Steel 316L to be used at the low-temperature side of the heat exchanger. Bimetallic samples for analysis and examination were fabricated by combining Laser Powder-bed Fusion and Directed Energy Deposition. Two transition strategies for joining to the laser powder-bed fusion steel were explored, namely, a direct transition and an intermediate layer of 50% nickel powder mixed with 50% steel powder through Directed Energy Deposition. The microstructure and …


Junior Recital: Mahri Hodges & Nathan Lezotte (2023), St. Norbert College Music Department Oct 2023

Junior Recital: Mahri Hodges & Nathan Lezotte (2023), St. Norbert College Music Department

Music Performances

SNC Music Department presents: a Junior Percussion Recital featuring Mahri Hodges & Nathan Lezotte (2023).


Availability Of Family Caregiver Programs In Us Cancer Centers, Erin Currie, Maria E Fernandez, Betty Ferrell, Andres Azuero, Tamryn F Gray, Bailey A Hendricks, Diane Meier, Chandylen Nightingale, Susan Reinhard, Timothy S Sannes, Katherine Sterba, Heather M Young Oct 2023

Availability Of Family Caregiver Programs In Us Cancer Centers, Erin Currie, Maria E Fernandez, Betty Ferrell, Andres Azuero, Tamryn F Gray, Bailey A Hendricks, Diane Meier, Chandylen Nightingale, Susan Reinhard, Timothy S Sannes, Katherine Sterba, Heather M Young

Faculty, Staff and Student Publications

Importance: Family caregivers provide the majority of health care to the 18 million patients with cancer in the US. Yet despite providing complex medical and nursing care, a large proportion of caregivers report no formal support or training. In recognition of this gap, many interventions to support cancer caregivers have been developed and tested over the past 2 decades. However, there are few system-level data on whether US cancer centers have adopted and implemented these interventions.

Objective: To describe and characterize the availability of family caregiver support programs in US cancer centers.

Design, setting, and participants: This cross-sectional national survey …


Using Machine Learning To Predict Hypervelocity Fragment Propagation Of Space Debris Collisions, Katharine Larsen, Riccardo Bevilacqua Oct 2023

Using Machine Learning To Predict Hypervelocity Fragment Propagation Of Space Debris Collisions, Katharine Larsen, Riccardo Bevilacqua

Student Works

The future of spaceflight is threatened by the increasing amount of space debris, especially in the near-Earth environment. To continue operations, accurate characterization of hypervelocity fragment propagation following collisions and explosions is imperative. While large debris particles can be tracked by current methods, small particles are often missed. This paper presents a method to estimate fragment fly-out properties, such as fragment, velocity, and mass distributions, using machine learning. Previous work was performed on terrestrial data and associated simulations representing space debris collisions. The fragmentation of high-velocity fragmentation can be modeled by terrestrial fragmentation tests, such as static detonations. Recently, stereoscopic …


First-Ever Blazer Bridge Fund Grant Recipients Announced, Amy Jones Oct 2023

First-Ever Blazer Bridge Fund Grant Recipients Announced, Amy Jones

Browse All News

No abstract provided.


Safety And Tolerability Of A Novel Anti-Her2 Antibody-Drug Conjugate (Pf-06804103) In Patients With Her2-Expressing Solid Tumors: A Phase 1 Dose-Escalation Study, Funda Meric-Bernstam, Emiliano Calvo, Keun Seok Lee, Victor Moreno, Yeon Hee Park, Pavani Chalasani, Li Zhou, Steven Pirie-Shepherd, Abraham C F Leung, Giuseppe Curigliano Oct 2023

Safety And Tolerability Of A Novel Anti-Her2 Antibody-Drug Conjugate (Pf-06804103) In Patients With Her2-Expressing Solid Tumors: A Phase 1 Dose-Escalation Study, Funda Meric-Bernstam, Emiliano Calvo, Keun Seok Lee, Victor Moreno, Yeon Hee Park, Pavani Chalasani, Li Zhou, Steven Pirie-Shepherd, Abraham C F Leung, Giuseppe Curigliano

Faculty, Staff and Student Publications

PF-06804103 is an anti-HER2 antibody–drug conjugate with auristatin payload. We evaluated its safety, tolerability, and antitumor activity in patients with advanced/unresectable or metastatic breast and gastric cancers. This multicenter, open-label, first-in-human, phase 1 study (NCT03284723) comprised dose escalation (P1) and dose expansion (P2). In P1, adults with HER2+ breast or gastric cancer received PF-06804103 0.15–5.0 mg/kg intravenously once/21 days (Q3W); in P2, patients with HER2+ or HER2-low (IHC 1+ or IHC 2+/ISH−) breast cancer received 3.0 or 4.0 mg/kg Q3W. The primary endpoints were dose-limiting toxicities (DLT) and safety (P1), and objective response rate (ORR) assessed using RECIST v1.1 (P2). …


Evolution Of Glassy Carbon Derived From Pyrolysis Of Furan Resin, Josh Kemppainen, Ivan Gallegos, Aaron Krieg, Jacob R. Gissinger, Kristopher E. Wise, Margaret Kowalik, Julia A. King, S. Gowtham, Adri Van Duin, Gregory Odegard Oct 2023

Evolution Of Glassy Carbon Derived From Pyrolysis Of Furan Resin, Josh Kemppainen, Ivan Gallegos, Aaron Krieg, Jacob R. Gissinger, Kristopher E. Wise, Margaret Kowalik, Julia A. King, S. Gowtham, Adri Van Duin, Gregory Odegard

Michigan Tech Publications

Glassy carbon (GC) material derived from pyrolyzed furan resin was modeled by using reactive molecular dynamics (MD) simulations. The MD polymerization simulation protocols to cure the furan resin precursor material are validated via comparison of the predicted density and Young's modulus with experimental values. The MD pyrolysis simulations protocols to pyrolyze the furan resin precursor is validated by comparison of calculated density, Young's modulus, carbon content, sp carbon content, the in-plane crystallite size, out-of-plane crystallite stacking height, and interplanar crystallite spacing with experimental results from the literature for furan resin derived GC. The modeling methodology established in this work can …


Accuracy And Reliability Of Chatbot Responses To Physician Questions, Rachel S Goodman, Isik Turker, Et Al. Oct 2023

Accuracy And Reliability Of Chatbot Responses To Physician Questions, Rachel S Goodman, Isik Turker, Et Al.

2020-Current year OA Pubs

IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patients. Assessing the safety and efficacy of these tools in answering physician-generated questions is critical to determining their suitability in clinical settings, facilitating complex decision-making, and optimizing health care efficiency.

OBJECTIVE: To assess the accuracy and comprehensiveness of chatbot-generated responses to physician-developed medical queries, highlighting the reliability and limitations of artificial intelligence-generated medical information.

DESIGN, SETTING, AND PARTICIPANTS: Thirty-three physicians across 17 specialties generated 284 medical questions that they …


Pre-Radiotherapy Ctdna Liquid Biopsy For Risk Stratification Of Oligometastatic Non-Small Cell Lung Cancer, Nicholas P Semenkovich, Shahed N Badiyan, Pamela P Samson, Hayley B Stowe, Yun E Wang, Rachel Star, Siddhartha Devarakonda, Ramaswamy Govindan, Saiama N Waqar, Clifford G Robinson, Gregory Vlacich, Bruna Pellini, Aadel A Chaudhuri Oct 2023

Pre-Radiotherapy Ctdna Liquid Biopsy For Risk Stratification Of Oligometastatic Non-Small Cell Lung Cancer, Nicholas P Semenkovich, Shahed N Badiyan, Pamela P Samson, Hayley B Stowe, Yun E Wang, Rachel Star, Siddhartha Devarakonda, Ramaswamy Govindan, Saiama N Waqar, Clifford G Robinson, Gregory Vlacich, Bruna Pellini, Aadel A Chaudhuri

2020-Current year OA Pubs

The optimal treatment paradigm for patients with oligometastatic non-small cell lung cancer (NSCLC) remains unclear. Some patients with oligometastatic disease experience prolonged remission after locally consolidative radiation therapy (RT), while others harbor micrometastatic disease (below limits of detection by imaging) and benefit from systemic therapy. To risk-stratify and identify the patients most likely to benefit from locally consolidative RT, we performed a multi-institutional cohort study of 1487 patients with oligometastatic NSCLC undergoing liquid biopsy analysis of circulating tumor DNA (ctDNA). In total, 1880 liquid biopsies were performed and approximately 20% of patients (n = 309) had ctDNA measured prior to …


From Patriarchal Stereotypes To Matriarchal Pleasures Of Hybridity: Representation Of A Muslim Family In Berlin, Rahime Özgün Kehya Dr Oct 2023

From Patriarchal Stereotypes To Matriarchal Pleasures Of Hybridity: Representation Of A Muslim Family In Berlin, Rahime Özgün Kehya Dr

Journal of Religion & Film

Sinan Çetin’s blockbuster Berlin in Berlin (1993) is a Turkish-German co-production. In contrast to certain representational tendencies with German orientalism or Turkish occidentalism, it deconstructs the intersectional structures of migration, religion, and gender. The portrayal of religion in films about Turkish-German labour migration is a kind of cultural narcissism often projected into national cinema by denigrating the faith of the other and glorifying one’s own religion. However, perspectives at such intersections are critical and require sensitivity in filmmaking, as films can create prejudice or help build peaceful relationships around these sensitive issues. The paper employs discourse analysis in linking Derrida’s …


Factors Affecting Knowledge Sharing Behavior Among Undergraduate Students: A Case Study Of Khushal Khan Khattak University Karak, Saeed Ullah Jan Oct 2023

Factors Affecting Knowledge Sharing Behavior Among Undergraduate Students: A Case Study Of Khushal Khan Khattak University Karak, Saeed Ullah Jan

Library Philosophy and Practice (e-journal)

The main theme of the study was to examine the factors that influence knowledge sharing among undergraduate students in Khushal Khan Khattak University Karak. Survey design guided the study and a questionnaire was used to collect data from 201 respondents. Data was analyzed using simple arithmetics. Findings showed that the organizational culture for knowledge sharing was found to be unsatisfactory, particularly regarding the exchange of awards or honors for sharing knowledge. However, incentives and management support were identified as motivating factors for knowledge sharing. The individual factors, such as knowledge self-efficacy, trust, personal interaction, personal expectation, and willingness to share, …


Tricritical Point As A Crossover Between Type-Is And Type-Iis Bifurcations, Prabakaran Rajamanickam, Joel Daou Oct 2023

Tricritical Point As A Crossover Between Type-Is And Type-Iis Bifurcations, Prabakaran Rajamanickam, Joel Daou

Progress in Scale Modeling, an International Journal

A tricritical point as a crossover between (stationary finite-wavelength) type-Is and (stationary longwave) type-IIs bifurcations is identified in the study of diffusive-thermal (Turing) instability of flames propagating in a Hele-Shaw channel in a direction transverse to a shear flow. Three regimes exhibiting different scaling laws are identified in the neighbourhood of the tricritical point. For these three regimes, sixth-order partial differential equations are obtained governing the weakly nonlinear evolution of unstable solutions near the onset of instability. These sixth-order PDES may be regarded as the substitute for the classical fourth-order Kuramoto­­­­­­–­­Sivashinsky equation which is not applicable near the …


The Cyberseduce Collection: Sex Work Commentary On Major Social Media Platforms., Amelia Davies Robinson, Joshua Warren, Emillion Adekoya, Jamal Brooks-Hawkins, Louise Foster, Rachael Green, Bruce Laoera, Ezra Langlois, Audrey Lutmer, Nabiha Nadeem, Athanasia Platis Oct 2023

The Cyberseduce Collection: Sex Work Commentary On Major Social Media Platforms., Amelia Davies Robinson, Joshua Warren, Emillion Adekoya, Jamal Brooks-Hawkins, Louise Foster, Rachael Green, Bruce Laoera, Ezra Langlois, Audrey Lutmer, Nabiha Nadeem, Athanasia Platis

Summer Sexuality Fellowship

Abstract

During a ten-week Human Sexuality fellowship program, one of the focal areas was sex work, undertaken by an interdisciplinary team of graduate students and faculty. Employing an emergent design approach, this team used multiple iterations to refine their data collection process. Initially comprised of sixteen fellows, the Sex Work team sought to compile a comprehensive dataset encompassing various aspects of sex work, as broadly defined, across four social media platforms: Reddit, TikTok, Twitter (aka "X"), and YouTube. The Sex Work Databank eventually amassed nearly 6,000 data entries, with YouTube yielding the largest share.

The data collection process began with …


Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University Oct 2023

Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University

ISSCM Newsletters

A ten page newsletter from the Department of Information Systems and Supply Chain Management in the Raj Soin College of Business at Wright State University.


Amicus (Fall 2023), University Of Colorado Law School Oct 2023

Amicus (Fall 2023), University Of Colorado Law School

Amicus

Issue at a glance:

  • Reflects on the 44-year career of Professor Mark Loewenstein
  • Highlights the latest books by Colorado Law faculty
  • Introduces new Colorado Law faculty
  • Korey Wise Innocence Project Clients Wins Freedom
  • Shares stories of philanthropy
  • Recognizes milestones and successes of Colorado Law alumni


Faculty Services 2023-2024, Copley Library Oct 2023

Faculty Services 2023-2024, Copley Library

Copley Library Brochures

No abstract provided.


Chacahoula 2023, Tram Phan, Mallory Kaul, Alayna Pellegrin Oct 2023

Chacahoula 2023, Tram Phan, Mallory Kaul, Alayna Pellegrin

Chacahoula

WE GROW, WE DEVELOP, WE THRIVE:

The 2023 issue of Chacahoula includes December 2022 and May 2023 graduating classes, as well as stunning photography of Week of Welcome, Homecoming, Mardi Gras, and Spring Fever. With features covering notable students, faculty, and staff, this year's time capsule beautifully preserves an academic year in the life of the University of Louisiana at Monroe.


2. Fire Tactics, David Hernandez Oct 2023

2. Fire Tactics, David Hernandez

Fighting Fire with STEM

Students will explore information interpretation and analysis, as well as a constant progression of information evolving as the event takes place. Students will be exposed to different decision- making processes according to given information (“sizing-up” concept). Additionally, students will utilize strategically thinking methods to place hydrants on a city map. Then, students will find the time needed for the fire truck to travel to the emergency location by using given speed and distance values. Lastly, students will have the opportunity to create a rescue plan based on information provided throughout the activities.


1. What Is Fire?, David Hernandez Oct 2023

1. What Is Fire?, David Hernandez

Fighting Fire with STEM

Students will be introduced to the concept of fire. First, they will make observations to create an explanation of how fire works or the factors needed for fire. Then, students will explore the interaction between elements that constitute the creation of fire by constructing a model to represent these elements.


4. Fire Innovations, David Hernandez Oct 2023

4. Fire Innovations, David Hernandez

Fighting Fire with STEM

Students will explore the mechanism of the instant fire suppression system by creating a model demonstrating how to control and manipulate waves in order to push the air around them.


Hispanic Heratage Month | Alebrijes Mysterious Creatures, David Hernandez Oct 2023

Hispanic Heratage Month | Alebrijes Mysterious Creatures, David Hernandez

STEM al Estilo Latino

THE FOLLOWING ACTIVITY WILL GUIDE THE STUDENTS AS THEY EXPLORE THE ROLE OF SCIENCE IN ART. STUDENTS WILL EXPLORE THE ENGINEERING AND DESIGN PROCESS BY CREATING “ALEBRIJES”, A MYSTERIOUS CREATURE THAT REPRESENTS A UNIQUE MOMENT IN THEIR LIVES. THROUGH THEIR WORK, STUDENTS WILL INCORPORATE MATHEMATICS, SCIENCE, AND ART. ADDITIONALLY, STUDENTS WILL PROVIDE POSITIVE FEEDBACK TO EACH OTHER’S ART PIECES BY INTERPRETING THE ARTWORK.