Digital Commons Network^™

Chatgpt Vs Expert-Guided Care Pathways For Postesophagectomy Symptom Management, Mohamad K Abou Chaar, Giovanna Grigsby-Rocca, Ming Huang, Shanda H Blackmon

Faculty, Staff and Student Publications

BACKGROUND: The objective of this study was to compare generative artificial intelligence-initiated care pathways, using ChatGPT, with expert-guided consensus-initiated care pathways from AskMayoExpert (AME) for symptom management of esophageal cancer patients after esophagectomy.

METHODS: A formal protocol for development of 9 AME care pathways was followed for specific patient-identified domains after esophagectomy for esophageal cancer. Domain scores were measured and assessed through the Upper Digestive Disease tool. These care pathways were developed by experts validated by a consensus-driven methodology. ChatGPT was used to answer specific questions similar to the AME care pathway on April 9, 2023, and March 28, 2024. …

Addressing Ethical Issues In Healthcare Artificial Intelligence Using A Lifecycle-Informed Process, Benjamin X Collins, Jean-Christophe Bélisle-Pipon, Barbara J Evans, Kadija Ferryman, Xiaoqian Jiang, Camille Nebeker, Laurie Novak, Kirk Roberts, Martin Were, Zhijun Yin, Vardit Ravitsky, Joseph Coco, Rachele Hendricks-Sturrup, Ishan Williams, Ellen W Clayton, Bradley A Malin, Bridge2ai Ethics And Trustworthy Ai Working Group

Faculty, Staff and Student Publications

OBJECTIVES: Artificial intelligence (AI) proceeds through an iterative and evaluative process of development, use, and refinement which may be characterized as a lifecycle. Within this context, stakeholders can vary in their interests and perceptions of the ethical issues associated with this rapidly evolving technology in ways that can fail to identify and avert adverse outcomes. Identifying issues throughout the AI lifecycle in a systematic manner can facilitate better-informed ethical deliberation.

MATERIALS AND METHODS: We analyzed existing lifecycles from within the current literature for ethical issues of AI in healthcare to identify themes, which we relied upon to create a lifecycle …

Augmented Drug Combination Dataset To Improve The Performance Of Machine Learning Models Predicting Synergistic Anticancer Effects, Mengmeng Liu, Gopal Srivastava, J. Ramanujam, Michal Brylinski

Faculty Publications

Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy and overcomes drug resistance. Although machine learning (ML) techniques have become an indispensable tool for discovering new drug combinations, the data on drug combination therapy currently available may be insufficient to build high-precision models. We developed a data augmentation protocol to unbiasedly scale up the existing anti-cancer drug synergy dataset. Using a new drug similarity metric, we augmented the synergy data by substituting a compound in a drug combination instance with another molecule that exhibits highly similar pharmacological effects. Using this protocol, we were able to …

Weathering Influences The Ice Nucleation Activity Of Microplastics, Philip Brahana, Mingyi Zhang, Elias Nakouzi, Bhuvnesh Bharti

Faculty Publications

Microplastics are being increasingly detected in the atmosphere at altitudes relevant to mixed-phase cloud formation. However, the extent to which microplastics, along with their dynamic surface properties resulting from environmental weathering, could influence atmospheric microphysical processes remains largely unexplored. Here, through a series of ice nucleation experiments and droplet freezing assays, we highlight the capability of model polyethylene microplastics to induce heterogeneous ice nucleation via immersion freezing under atmospherically relevant conditions. We find that sunlight-induced weathering of the microplastic surface influences the structure of surface-bound water molecules and dictates the ice nucleation activity of the microplastics. Using polyethylene, polypropylene, polystyrene, …

Theoretical And Experimental Analysis Of The Modulated Phase Grating X-Ray Interferometer, Hunter Meyer, Joyoni Dey, Sydney Carr, Kyungmin Ham, Leslie G. Butler, Kerry M. Dooley, Ivan Hidrovo, Markus Bleuel, Tamas Varga, Joachim Schulz, Thomas Beckenbach, Konradin Kaiser

Faculty Publications

X-ray grating interferometry allows for the simultaneous acquisition of attenuation, differential-phase contrast, and dark-field images, resulting from X-ray attenuation, refraction, and small-angle scattering, respectively. The modulated phase grating (MPG) interferometer is a recently developed grating interferometry system capable of generating a directly resolvable interference pattern using a relatively large period grating envelope function that is sampled at a pitch that is small enough that X-ray spatial coherence can be achieved by using a microfocus X-ray source or G0 grating. We present the theory of the MPG interferometry system for a 2-dimensional staggered grating, derived using Fourier optics, and we compare …

Students’ Performance And Perceptions Of Mock Trials As A Teaching And Assessment Activity Over Three Years At Two Institutions, Ettie Rosenberg, Shih-Ying H. Hsu, Hoai-An Truong, Reza Taheri

Pharmacy Faculty Articles and Research

Background: This study aimed to evaluate students’ performance and perception of a mock-trial teaching, learning, and assessment activity over three years at two institutions.

Methods: A mock trial (courtroom-style debate) implemented over three years (2017-2019) in a first professional year (P1) course at two institutions offered active learning in literature critique and evaluation, critical thinking, communication, teamwork, professionalism, and self-awareness. Student teams researched, prepared, and debated controversial topics as counsels, witnesses, or jurors for alternate mock trials. Descriptive analyses evaluated judge and juror trial scores and the 2019 Technology Acceptance Model (TAM) survey.

Results: The mock trials involved 319 student …

Opioid Knowledge And Experiences In Nebraska College Students, Natalie Holding

Theses/Capstones/Creative Projects

This study investigated opioid-related knowledge and experiences among 83 Nebraska college students, with an emphasis on awareness, perceived risks, and educational needs regarding opioids and the overdose-reversing drug, naloxone. For participants who have used opioids outside of a doctor’s orders, questions were asked regarding motivations, comorbidities, coping mechanisms, and treatment experiences. Data were collected via an anonymous survey featuring closed- and open-ended questions. Results showed that 41% of participants reported feeling moderately knowledgeable about opioid risks, while 34% felt only slightly knowledgeable. Although 80.7% of participants were aware of naloxone, most were uncertain either about (22.9%) or did not know …

Assessment Of Nucleic Acid Extraction Protocols For Antibiotic Resistance Genes (Args) Quantification In Aircraft Wastewater, Wendy J.M. Smith, Yawen Liu, Stuart L. Simpson, Aaron Bivins, Warish Ahmed

Faculty Publications

This study evaluated ten nucleic acid extraction protocols (EP1 to EP10) for measuring five endogenous antibiotic resistance genes (ARGs) in four aircraft wastewater samples (AWW1 to AWW4). The targeted ARGs, including blaCTX-M, blaNDM-1, ermB, qnrS, and tetA, encompassed highly and minimally abundant ARGs. TetA and ermB were consistently detected across four aircraft wastewater samples using the DNeasy Blood and Tissue Kit and the AllPrep PowerViral DNA/RNA kit. QnrS displayed high detection rates with specific extraction protocols and aliquot volumes. Concentrations of ARGs varied across aircraft wastewater samples, with differing extraction protocols influencing quantitative results. The concentrations of tetA, ermB, and …

Keeping Mental Health Professionals In Nebraska: How Nebraska Recruits And Retains Working And Prospective Providers, Beckett Allen

Theses/Capstones/Creative Projects

For my capstone effort, I wanted to focus on the recruitment and retention of mental health professionals in Nebraska. Having familiarity with the status of mental healthcare itself in rural Nebraska, my goal was to focus on what is being done to recruit and retain mental healthcare providers in the state.

For this study, interviews were conducted with professionals with experience in examining and addressing provider recruitment and retainment related to mental health.

Federal and state agencies such as the Area Health Education Center (AHEC) and the Behavioral Health Education Center of Nebraska (BHECN) have been formed to address shortages …

Mother Earth, Jane Duffy

A Midwestern Review: A Magazine of the Arts and Issues at DePauw University

Jane Duffy is an interdisciplinary artist who is pursuing Art and Writing at DePauw University. She specializes in acrylic paintings and ink drawings, but does a wide range of creative work in all sorts of artistic fields, including murals and window art.

On The Damping And Fatigue Characterization Of Additively Manufactured Ti-6al-4v, Peyton J. Wilson, Elaheh Azizian-Farsani, Mikyle Paul, Michael M. Khonsari, Shuai Shao, Nima Shamsaei

Faculty Publications

With the recent implementation of additively manufactured parts into industrial applications, there is a dire need for nondestructive evaluation methods to qualify if these components are fit for service due to their sensitivity to processing conditions. The Impulse Excitation Technique (IET) is applied to additively manufactured Ti-6Al-4V bending specimens to determine natural frequencies and damping properties in order to predict fatigue performance relative to specimens fabricated with different processing parameters. From the damping and natural frequency results, it was found that the specimens, fabricated with intentional underheating to induce lack of fusion defects, had the lowest damping value in the …

Detecting N-Phenyl-2-Naphthylamine, L-Arabinose, D-Mannose, L-Phenylalanine, L-Methionine, And D-Trehalose Via Photocurrent Measurement, Feng Li, Ruoxi Yang, Jian Xu, Guohai Xu, Ye Wu

Faculty Publications

The concentration of small molecules reflects the normality of physiological processes in the human body, making the development of simple and efficient detection equipment essential. In this work, inspired by a facile strategy in point-of-care detection, two devices were fabricated to detect small molecules via photocurrent measurement. A linear response of the photocurrent against the concentration of the small molecules was found. In the first device, metal ions were introduced into gel substrates made by xanthan gum to enhance photocurrent response. N-phenyl-2-naphthylamine was measured when iron or manganese ions were used. L-Phenylalanine was measured when the gel was modified by …

Employing Raman Spectroscopy And Machine Learning For The Identification Of Breast Cancer, Ya Zhang, Zheng Li, Zhongqiang Li, Huaizhi Wang, Dinkar Regmi, Jian Zhang, Jiming Feng, Shaomian Yao, Jian Xu

Faculty Publications

Background: Breast cancer poses a significant health risk to women worldwide, with approximately 30% being diagnosed annually in the United States. The identification of cancerous mammary tissues from non-cancerous ones during surgery is crucial for the complete removal of tumors. Results: Our study innovatively utilized machine learning techniques (Random Forest (RF), Support Vector Machine (SVM), and Convolutional Neural Network (CNN)) alongside Raman spectroscopy to streamline and hasten the differentiation of normal and late-stage cancerous mammary tissues in mice. The classification accuracy rates achieved by these models were 94.47% for RF, 96.76% for SVM, and 97.58% for CNN, respectively. To our …

Hydrodynamic Simulations Of White Dwarf-White Dwarf Mergers And The Origin Of R Coronae Borealis Stars, Sagiv Shiber, Orsola De Marco, Patrick M. Motl, Bradley Munson, Dominic C. Marcello, Juhan Frank, Patrick Diehl, Geoffrey C. Clayton, Bennett N. Skinner, Hartmut Kaiser, Gregor Daiß, Dirk Pflüger, Jan E. Staff

Faculty Publications

We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code octo-tiger. We follow the orbital evolution of DWD systems of mass ratio for tens of orbits until and after the merger to investigate them as a possible origin for R Coronae Borealis (RCB) type stars. We reproduce previous results, finding that during the merger, the helium WD donor star is tidally disrupted within 20-80 min since the beginning of the simulation onto the accretor carbon-oxygen WD, creating a high temperature shell around the accretor. We investigate the …

Insights Into Core-Mantle Differentiation From Bulk Earth Melt Simulations, Abin Shakya, Dipta B. Ghosh, Colin Jackson, Gabriele Morra, Bijaya B. Karki

Faculty Publications

The earth is thought to have gone through complex physicochemical changes during the accretion and magma ocean stages. To better understand this evolution process at the fundamental level, we investigate the behavior of a bulk earth melt system by simulating the composition Fe35.7Mg19.0Si15.2O30.2 (in wt%) at high pressure. A deep neural network potential trained by first-principles data can enable accurate molecular dynamics simulation of large supercells that greatly enhances sampling for reliable evaluation of elemental partitioning. Our simulated system undergoes a phase separation in which the four elements clump together to different extents into two major domains. Based on the …

Whole Genome Sequence Of The Denitrifying Thermophile Geobacillus Thermodenitrificans Subsp. Calidus Dsm 22629t, Mary Snook, Stephan Ritter, Rüdiger Pukall, Markus Göker, Rekha Seshadri, Nathaniel K. Jue

Biology, Agriculture and Chemistry Faculty Publications and Presentations

We present a full genome sequence for the thermophilic denitrifier Geobacillus thermodenitrificans subsp. calidus DSM 22629T (3,408,575 bp, 48.94% GC). This genome includes 3,615 predicted genes, including those needed to reduce nitrate to nitrogen gas. This organism and genome sequence provide valuable resources for future phylogenetic, genomic, and biotechnological research.

Cmos-Based Rotational Spectroscopy: Massive Spectral Fingerprint Generation And Molecular Detection With Deep Learning, Yasamin Fozouni

Computer Science and Engineering Theses and Dissertations

Rotational Spectroscopy is a powerful spectral fingerprinting approach that can be used for identifying different gas molecules in a sample. Gas molecules are free to rotate, with inertia, in fixed states of quantized energy. In Rotational Spectroscopy, radiative beams are shown onto a sample to cause an energy-based transition between quantized rotational states. By sweeping the frequency of the radiative beams and monitoring the absorption with a sensor, one can profile the different rotational states, monitoring for energy based transitions. These transitions are dependent on unique properties of the molecules, thus presenting a unique molecular identification fingerprint (in the form …

Hitch Cart “Landing Gear”, Rebekah White, Jose Raygoza, Randy Hernandez, Brandon Leon

Mechanical Engineering

This report aims to allow our sponsor, to review our design process of the Hitch Cart Landing Gear Prototype. In the design overview section of this report, we discuss the primary design modifications we made to the wheel mechanism of the existing hitch cart prototype, including the addition of the ACME screws and the folding brackets. This allows our sponsor to see the intended improvements made to the past prototype and understand the primary goal of our project. Then, in the implementation section, we cover the entire manufacturing process to allow our sponsor to understand what manufacturing steps must be …

Pseudo Gps For Romi, Emmanuel Baez, Owen Guinane, Gabriel Coria, Conor Schott

Mechanical Engineering

The Pseudo-GPS system for Romi robots addresses the need for precise real-time location tracking in Cal Poly's Mechatronics lab. This project, developed by Emmanuel Baez, Gabriel Coria, Owen Guinane, and Conor Schott, under the guidance of instructor Charlie Refvem, provides a proof-of-concept system to enhance the Romi robots' geolocation capabilities for advanced robotic algorithms.

The proposed system uses a Raspberry Pi 4 equipped with a Pi camera module and ArUco markers to track the position and orientation of Romi robots within a lab environment. Custom 3D-printed stands secure markers on the robots, and a designated origin marker defines the coordinate …

Power At Sea Oscillating Water Column, Nate Hempstead, Max Wong, Ned Eyre Eyre, Luke Wierl

Mechanical Engineering

Current Autonomous Underwater Vehicles (AUVs) are predominantly powered by batteries or other energy sources that require frequent maintenance and human intervention. To increase the deployment times and efficiencies of AUVs, there is a need to develop improved wave energy conversion systems that harness renewable energy from waves and tides for power generation and storage. This approach aims to reduce or eliminate the need for manual maintenance or battery replacements, while also minimizing the environmental impact on marine wildlife and the surrounding ecosystem.

Expandable And Retractable Wheel Design, Ethan Fortenberry, Emily Cottrell, Keegan Martin, Benjamin Mcconnell

Mechanical Engineering

Our sponsor, Jeremy Goren, wants to see his patented expandable wheel design come to life. He requires a functional final product actuated by linear actuators and with a continuous, circular outer shell. The overall design can be broken up into 2 parts: the inner hub and outer shell. The wheel's shell will consist of a 12-piece outer shell that guides the 6 inner shell pieces. The outer shell pieces will be connected via a UBracket. The hub will consist of 3 identical parts that will hold 2 linear actuators each. The pieces will be bolted together to create 1 singular …

The Waterbug: Adaptive Paddle Board Frame, Remy James Elio Lacchia, Katie Kellum, Madeline Evenson, Shelbi Sullaway

Mechanical Engineering

People with disabilities, particularly wheelchair users, face limitations in participating in outdoor activities like paddleboarding. Central Cal Adaptive, a nonprofit organization, aims to bridge this gap by offering adapted paddleboarding experiences. However, their current paddleboard presents challenges such as portability, range of motion, stability, and safety. Our team, comprising Madeline Evenson, Remy Lacchia, Katie Kellum, and Shelbi Sullaway, has collaborated with Central Cal Adaptive to refine the existing paddleboard design. The team’s goal is to enhance the paddleboard's functionality to better cater to wheelchair users' needs, ensuring lightweight, portable, and safe features for an improved outdoor experience.

Our paddleboard concept …

Piston Crown Design, Kurt L. Lippmann, Liam T. Janssen, Alex Rangel, Larry J. Davis

Mechanical Engineering

This project investigates the effects of dimpling a piston crown, and its impact on engine combustion dynamics. Through computational methods, the effects of piston crown dimpling on flow characteristics were evaluated. Theoretical results were verified with experimental methods. Experimental methods included characterization of exhaust gas content, engine horsepower and torque, and exhaust opacity.

Swim Fly Drone, Alia Wolken, Sha'anan Levy, Andrew Jwaideh, Eduardo Santos

Mechanical Engineering

This project addresses the need for a versatile drone that is capable of operation in both air and water environments, with potential applications in infrastructure inspection, defense, search and rescue, and ocean exploration. This project focuses on the design and development of a waterproof aerial drone capable of floating on the water surface and submerging underneath to controlled depths with the integration of a custom detachable buoyancy chamber. The buoyancy chamber design utilizes syringes to compress and decompress air inside of the chamber, changing the volume of the chamber, with an actuation system controlled by a closed-loop control system that …

Chronic Illness Education 2024: Tackling Childhood Obesity Using The Chronic Care Model, Avan Chu, Bassem Chamma, Katiya Barkho, Ryan Li, Sabrina Pakula, Zoe Raphael

Patient Education Projects

No abstract provided.

Chronic Illness Education 2024: Educational Resources For Families To Improve Childhood Obesity, Arianna Arcenas, Colton Clymer, Henry Li, Jonathan Albrecht, Kathleen Girdler, Saleh Ahmed

Patient Education Projects

No abstract provided.

Chronic Illness Education 2024: Addressing Anxiety And Depressive Disorders In The Adult Population, Alexandra Thompson, Andrew Wu, Lauren Kim, Meghana Jalagam, Rahul Bodapati, Tyler White

Patient Education Projects

No abstract provided.

Table Of Contents

Mercer Law Review

No abstract provided.

One Is Not Enough: Session, The Social Status Provision, And Consistent And Definitive Constructions, Miles C. Skedsvold

Mercer Law Review

Originalism really is “a theory working itself pure.” But most of the blood, sweat, and tears in the enterprise are spilled over the federal constitution. At least partially as a result of those efforts, though, more and more important legal questions are examined under state law—and in particular, state constitutions. And so it is more important than ever to work through the hard methodological questions that will help produce answers. Presiding Justice Nels S.D. Peterson’s landmark article “Principles of Georgia Constitutional Interpretation” breaks key ground in this area—and this Article aims to take the shovel and keep digging. ...

Thus, …

Premises Liability And Third-Party Attacks: A Path Forward, Pamela A. Wilkins

Mercer Law Review

Recently, in Georgia CVS Pharmacy, LLC v. Carmichael, the Supreme Court of Georgia recognized a totality of circumstances approach for determining whether a landowner owes a duty to protect patrons from third-party attacks. So right now, in Georgia, the poor lighting, high-crime surroundings, and absence of functioning panic boxes are relevant considerations for the duty calculus.

Many members of the Georgia General Assembly find this outcome intolerable. Only months after the court’s ruling in Georgia CVS Pharmacy, several state senators, focusing on the supposed “unfriendliness to business” of the current totality of circumstances rule, introduced a bill that …