Digital Commons Network^™

Autonomic And Enteric Profiling May Help Predict Response To Diverse Obesity Therapies, Michael Eiswerth, Prateek Mathur, Hani Rashed, Frank Greenway, Eric Ravussin, William Johnson, Pichamol Jirapinyo, Christopher C. Thompson, Farid Kehdy, Shabnam Sarker, Le Yu Naing, Michael W. Daniels, Thomas Abell

Clinical Research Faculty Publications

Purpose: Changes in autonomic (ANS) and enteric nervous systems (ENS) may be involved in pathogenesis of obesity. We hypothesized that baseline autonomic and enteric parameters may predict outcomes of diverse obesity therapies. Material and Methods: We studied ANS and ENS physiology in 37 patients (8 male, 29 female, age 45 years, weight 129.7 kg) at 4 centers in patients undergoing medical (9: low-calorie diet) versus invasive (22: 16 sleeve, 6 bypass) and semi-invasive (6: 2 band, 2 high energy stimulation, 2 aspiration) weight loss therapies. Weight loss was reported as percent weight loss from baseline to latest values at 1 …

Far From Their Origins: A Transcriptomic Investigation On How 2,4-Di-Tert-Butyl-6-(5-Chloro-2h-Benzotriazol-2-Yl) Phenol Affects Rainbow Trout Alevins, Andreas N.M. Eriksson, Justin Dubiel, Alper James Alcaraz, Jon A. Doering, Steve Wiseman

Faculty Publications

Benzotriazole ultraviolet stabilizers (BUVSs) are a group of widely used chemicals added to a variety of consumer (e.g., plastics) and industrial (e.g., metal coating) goods. Although detected globally as an environmentally persistent pollutant, BUVSs have received relatively little toxicological attention and only recently have been acknowledged to affect development and the endocrine system in vivo. In our previous study, altered behavior, indicative of potential neurotoxicity, was observed among rainbow trout alevins (day 14 posthatching) that were microinjected as embryos with a single environmentally relevant dose of 2,4-di-tert-butyl–6-(5-chloro-2H-benzotriazol-2-yl) phenol (UV-327). In the present follow-up study, we performed whole-transcriptome profiling (RNA sequencing) …

On The Injectivity Of The Shifted Funk–Radon Transform And Related Harmonic Analysis, Boris Rubin

Faculty Publications

Necessary and sufficient conditions are obtained for injectivity of the shifted Funk–Radon transform associated with k-dimensional totally geodesic submanifolds of the unit sphere Sⁿ in ℝⁿ⁺¹. This result generalizes the well known statement for the spherical means on Sⁿ and is formulated in terms of zeros of Jacobi polynomials. The relevant harmonic analysis is developed, including a new concept of induced Stiefel (or Grassmannian) harmonics, the Funk–Hecke type theorems, addition formula, and multipliers. Some perspectives and conjectures are discussed.

Ixpe Observation Of Pks 2155'304 Reveals The Most Highly Polarized Blazar, Pouya M. Kouch, Ioannis Liodakis, Riccardo Middei, Dawoon E. Kim, Fabrizio Tavecchio, Alan P. Marscher, Herman L. Marshall, Steven R. Ehlert, Laura Di Gesu, Svetlana G. Jorstad, Iván Agudo, Grzegorz M. Madejski, Roger W. Romani, Manel Errando, Elina Lindfors, Kari Nilsson, Ella Toppari, Stephen B. Potter, Ryo Imazawa, Mahito Sasada, Yasushi Fukazawa, Koji S. Kawabata, Makoto Uemura, Tsunefumi Mizuno, Tatsuya Nakaoka, Hiroshi Akitaya, Callum Mccall, Helen E. Jermak, Iain A. Steele, Ioannis Myserlis, Mark Gurwell, Garrett K. Keating, Ramprasad Rao

Faculty Publications

We report the X-ray polarization properties of the high-synchrotron-peaked (HSP) blazar PKS 2155'304 based on observations with the Imaging X-ray Polarimetry Explorer (IXPE). We observed the source between Oct 27 and Nov 7, 2023. We also conducted an extensive contemporaneous multiwavelength (MW) campaign. We find that during the first half (T1) of the IXPE pointing, the source exhibited the highest X-ray polarization degree detected for an HSP blazar thus far, (30.7 ± 2.0)%; this dropped to (15.3 ± 2.1)% during the second half (T2). The X-ray polarization angle remained stable during the IXPE pointing at 129.4 '±1.8 and 125.4 '±3.9 …

Reconstructive Evolutionary Morphology: Tracing The Historical Process Of Modifications Of Complex Systems Driven By Natural Selection Through Changing Ecological Conditions, Dominique G. Homberger

Faculty Publications

There is general consensus among evolutionary biologists that natural selection drives phenotypic modifications within populations over generational time. How to reconstruct this historical process, however, has been discussed mostly in theoretical terms, and recommendations and explanations on how to translate such theoretical insights into practice are needed. The present study aims at providing a theory-supported practical guide on how to reconstruct historical evolutionary processes by applying a morphology-centered approach through a series of interdependent steps of descriptive morphology, functional analysis, ecological observation, integration of paleoecological data, and evolutionary synthesis. Special attention is given to the development of tests regarding the …

The K-Profile Parameterization Augmented By Deep Neural Networks (Kpp_Dnn) In The General Ocean Turbulence Model (Gotm), Jianguo Yuan, Jun Hong Liang, Eric P. Chassignet, Olmo Zavala-Romero, Xiaoliang Wan, Meghan F. Cronin

Faculty Publications

This study utilizes Deep Neural Networks (DNN) to improve the K-Profile Parameterization (KPP) for the vertical mixing effects in the ocean's surface boundary layer turbulence. The deep neural networks were trained using 11-year turbulence-resolving solutions, obtained by running a large eddy simulation model for Ocean Station Papa, to predict the turbulence velocity scale coefficient and unresolved shear coefficient in the KPP. The DNN-augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long-term integration and more efficient than existing variants of KPP schemes with wave effects. Three different KPP_DNN schemes, each …

Understanding Family Experiences Of Iep Meetings And Building Skills To Empower Families At The Iep Meeting, Elizabeth J. Golini

Theses and Dissertations

Since the Individualized Education Program (IEP) meeting is so important both to a student’s progress and educational growth as well as the school’s legal obligations, it is imperative that researchers work to understand parent perceptions of Individualized Education Program meetings (Fish, 2006). Family participation and advocacy are also important at the IEP meeting (Boshoff et al., 2016; Cavendish & Connor, 2018; Duquette et al., 2011; Fish, 2006). This study examined the family’s perceptions of the IEP process and meeting for their child through semi-structured interviews. In order to support the family at the IEP meeting, families participated in coaching sessions …

Sweating The Small Stuff: Exploring Consequence Assignments And Academic Outcomes In A No-Excuses Charter Network, John G. Stevens

Theses and Dissertations

Schools utilize a range of consequences to maintain order and safety. Some employ zero-tolerance policies accompanied by exclusionary tactics like suspension (Martinez, 2009; Muschert et al., 2014). Suspensions are criticized for their disproportionate assignment to students who are Black, male, assigned an IEP, and receiving lunch assistance (Cholewa et al., 2018; Skiba et al., 2002), as well as their deleterious associations with academic achievement (Chu & Ready, 2018; Morris & Perry, 2014; Noltemeyer et al., 2015). Charter schools espousing a no-excuses philosophy often adopt a “Sweat-the-Small-Stuff” (STSS) approach focused on correcting minor (mis)behaviors to prevent more egregious ones (Whitman, 2008). …

To Belong Or Not To Belong: Bipoc First-Generation Community College Students’ Experiences, Christine Orbeta

Theses and Dissertations

Using narrative interviews, this study explored the experiences of belonging among eight first-generation college students (FGCS) who identify as Black, Indigenous, and People of Color (BIPOC). By applying Strayhorn's Belonging and Crenshaw's Intersectionality Framework, this study sheds light on the challenges and benefits BIPOC FGCS encounter as they strive for academic success at two-year institutions within the City University of New York (CUNY) where approximately 44% of CUNY's student body comprises FGCS (CUNY, 2019). According to participants, families and institutions played significant roles in shaping students' sense of belonging. It also highlights the intricate negotiations BIPOC FGCS undergo as they …

A P-Graph Approach For Planning Sustainable Rice Straw Management Networks, Victoria Migo Sumagang Maria, Michael Angelo B. Promentilla

The Philippine Agricultural Scientist

The Philippines produces up to 15.2 Mt of rice straw waste annually. Unmanaged rice straw waste disposal can lead to pollution from open field burning. On the other hand, rice straw agricultural waste can be used sustainably to produce valuable products such as mushrooms, fodder, pellets, or bioenergy, in a rice straw management system. Such systems can be optimized using Process Integration tools so that the raw materials are used efficiently at the maximum profit and with a minimal carbon footprint. The P-graph framework is an efficient Process Integration tool that solves Process Network Synthesis problems. A P-graph finds the …

First-Order Comprehensive Adjoint Sensitivity Analysis Methodology For Neural Ordinary Differential Equations: Mathematical Framework And Illustrative Application To The Nordheim–Fuchs Reactor Safety Model, Dan Gabriel Cacuci

Faculty Publications

This work introduces the mathematical framework of the novel “First-Order Comprehensive Adjoint Sensitivity Analysis Methodology for Neural Ordinary Differential Equations” (1st-CASAM-NODE) which yields exact expressions for the first-order sensitivities of NODE decoder responses to the NODE parameters, including encoder initial conditions, while enabling the most efficient computation of these sensitivities. The application of the 1st-CASAM-NODE is illustrated by using the Nordheim–Fuchs reactor dynamics/safety phenomenological model, which is representative of physical systems that would be modeled by NODE while admitting exact analytical solutions for all quantities of interest (hidden states, decoder outputs, sensitivities with respect to all parameters and initial conditions, …

How To Grade Law Students Taking “Paper Classes” Given Student Access To Artificial Intelligence Assistance: The Experience From One Class, Gregory Crespi

University of Arkansas at Little Rock Law Review

No abstract provided.

Fake Base Station Detection And Link Routing Defense, Sourav Purification, Jinoh Kim, Jonghyun Kim, Sang-Yoon Chang

Faculty Publications

Fake base stations comprise a critical security issue in mobile networking. A fake base station exploits vulnerabilities in the broadcast message announcing a base station’s presence, which is called SIB1 in 4G LTE and 5G NR, to get user equipment to connect to the fake base station. Once connected, the fake base station can deprive the user of connectivity and access to the Internet/cloud. We discovered that a fake base station can disable the victim user equipment’s connectivity for an indefinite period of time, which we validated using our threat prototype against current 4G/5G practices. We designed and built a …

Enhancing History Education With Google Notebooklm: Case Study Of Mary Easton Sibley’S Diary For Multimedia Content And Podcast Creation, Paul Huffman, James Hutson

Faculty Scholarship

This article explores new features of Google’s NotebookLM, an AI-powered tool designed for advanced document analysis and educational content generation. Tested on the 92-page transcribed diary of Mary Easton Sibley, the founder of Lindenwood University, NotebookLM effectively generated FAQs, a study guide, a table of contents, a briefing document, and an audio overview in podcast format. By transforming static historical documents into dynamic learning materials, the document-based AI model provides a user-friendly interface for educators and students, especially those without experience in audio editing or podcasting. While successful in creating study guides and audio formats, the tool faced challenges in …

Electromagnetic Theory And Applications, 2nd Edition, Nicholas Madamopoulos, George Kliros

Open Educational Resources

This book intends to provide both the fundamentals of Electromagnetics but also some practical applications of the concepts covered. Having taught electromagnetics for several years, the authors feel that many times the field of electromagnetics comes as “old” and often times students do not appreciate the concepts and their importance in everyday applications. The authors intend to accompany the EM concepts with life applications. Hence, students may see the direct impact of the knowledge they acquire through the study of the field of electromagnetics and better appreciate the field.

Quantum-Enhanced Simulation-Based Optimization For Newsvendor Problems, Monit Sharma, Hoong Chuin Lau, Rudy Raymond

Research Collection School Of Computing and Information Systems

Simulation-based optimization is a widely used method to solve stochastic optimization problems. This method aims to identify an optimal solution by maximizing the expected value of the objective function. However, due to its computational complexity, the function cannot be accurately evaluated directly, hence it is estimated through simulation. Exploiting the enhanced efficiency of Quantum Amplitude Estimation (QAE) compared to classical Monte Carlo simulation, it frequently outpaces classical simulation-based optimization, resulting in notable performance enhancements in various scenarios. In this work, we make use of a quantum-enhanced algorithm for simulation-based optimization and apply it to solve a variant of the classical …

Efficient And Secure Federated Learning Against Backdoor Attacks, Yinbin Miao, Rongpeng Xie, Xinghua Li, Zhiquan Liu, Kim-Kwang Raymond Choo, Robert H. Deng

Research Collection School Of Computing and Information Systems

Due to the powerful representation ability and superior performance of Deep Neural Networks (DNN), Federated Learning (FL) based on DNN has attracted much attention from both academic and industrial fields. However, its transmitted plaintext data causes privacy disclosure. FL based on Local Differential Privacy (LDP) solutions can provide privacy protection to a certain extent, but these solutions still cannot achieve adaptive perturbation in DNN model. In addition, this kind of schemes cause high communication overheads due to the curse of dimensionality of DNN, and are naturally vulnerable to backdoor attacks due to the inherent distributed characteristic. To solve these issues, …

The Impact Of Managerial Myopia On Cybersecurity: Evidence From Data Breaches, Wen Chen, Xing Li, Haibin Wu, Liandong Zhang

Research Collection School Of Accountancy

Using a sample of U.S. firms for the period 2005–2017, we provide evidence that managerial myopic actions contribute to corporate cybersecurity risk. Specifically, we show that abnormal cuts in discretionary expenditures, our proxy for managerial myopia, are positively associated with the likelihood of data breaches. The association is largely driven by firms that appear to cut discretionary expenditures to meet short-term earnings targets. In addition, the association is stronger for firms with greater short-term equity incentives, higher earnings response coefficients, low levels of institutional block ownership, or large market shares. Finally, firms appear to increase discretionary expenditures upon the announcement …

A Comparative Study Of Why Chinese Graduates From Japanese Or Australian Universities Return To China And How They Contribute

Journal of Comparative & International Higher Education

No abstract provided.

Appendix D Comparison Of Historical Coc Results To Groundwater Remedial Goals, Stantec Consulting Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Revised Draft Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2024 Draft Blacktail Creek Remediation And Contaminated Groundwater Hydraulic Control Site Pre-Design Investigation Work Plan, Stantec Consulting Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation, Cen Zhang, Yaowen Zheng, Mingqiang Bai, Yeting Li, Wei Ma, Xiaofei Xie

Research Collection School Of Computing and Information Systems

Fuzz drivers are essential for library API fuzzing. However, automatically generating fuzz drivers is a complex task, as it demands the creation of high-quality, correct, and robust API usage code. An LLM-based (Large Language Model) approach for generating fuzz drivers is a promising area of research. Unlike traditional program analysis-based generators, this text-based approach is more generalized and capable of harnessing a variety of API usage information, resulting in code that is friendly for human readers. However, there is still a lack of understanding regarding the fundamental issues on this direction, such as its e ectiveness and potential challenges. To …

Text-Driven Video Prediction, Xue Song, Jingjing Chen, Bin Zhu, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Current video generation models usually convert signals indicating appearance and motion received from inputs (e.g., image and text) or latent spaces (e.g., noise vectors) into consecutive frames, fulfilling a stochastic generation process for the uncertainty introduced by latent code sampling. However, this generation pattern lacks deterministic constraints for both appearance and motion, leading to uncontrollable and undesirable outcomes. To this end, we propose a new task called Text-driven Video Prediction (TVP). Taking the first frame and text caption as inputs, this task aims to synthesize the following frames. Specifically, appearance and motion components are provided by the image and caption …

The Reveal: A Technical Study And Conservation Treatment Of An Overpaint Portrait, Camille Ferrer

Art Conservation Master's Projects

A severely damaged 19th-century oil painting depicting a portrait of a woman was treated at Patricia H. and E. Garman Art Conservation Department. A typed letter provided by the owner mentioned that it has been previously restored yet returned with unsatisfactory results. After further examination, the painting appeared to have been previously treated multiple times by different people. There was overpaint distinctly present on the face and later discovered to be present overall. The full state of condition of the painting was initially unknown due to the sum of the surface being overpainted. However, there were evidence of paint loss …

The Conservation Treatment And Technical Study Of Two Marisol Sculptures, Ruthie Rolfsmeyer

Art Conservation Master's Projects

ABCDEFG & Hi (1961-62) and Father Damien (1966-67) are both painted wooden sculptures created by Marisol during the height of her fame. Although Marisol is a well-known artist, whose fame has been rekindling since her death in 2016, there have been few technical studies of her works. Multimodal imaging and scientific analysis of these two sculptures provide insight into their structure and materials. Techniques include x-ray radiography, reflectance transformation imaging, x-ray fluorescence spectroscopy, Fourier transform infrared spectroscopy, and pyrolysis-gas chromatography-mass spectrometry. Key findings include the identification of toolmarks, nitrocellulose, alkyd, and acrylic paints, and a genuine diamond and pearl in …

Technoculture And Language Models In Archaeology: Reconstructing And Preserving Cultural Narratives Through Digital Humanities, James Hutson

Faculty Scholarship

Technoculture, which examines the intersection of culture and technology, has increasingly permeated archaeological practice, transforming both scholarly research and public engagement [1-3]. The introduction of digital tools such as virtual reality (VR), geographic information systems (GIS), and large language models (LLMs) has democratized access to archaeological knowledge, enabling communities to engage more actively with their cultural heritage [4-6]. This short article explores the mutual influence of technocultural studies and AI technologies on archaeology, with a focus on the preservation and reconstruction of cultural narratives through digital means.

The first aspect of this intersection lies in how technocultural tools are creating …

Noise Leads To The Perceived Increase In Evolutionary Rates Over Short Time Scales, Brian C. O'Meara, Jeremy M. Beaulieu

Biological Sciences Faculty Publications and Presentations

Across a variety of biological datasets, from genomes to conservation to the fossil record, evolutionary rates appear to increase toward the present or over short time scales. This has long been seen as an indication of processes operating differently at different time scales, even potentially as an indicator of a need for new theory connecting macroevolution and microevolution. Here we introduce a set of models that assess the relationship between rate and time and demonstrate that these patterns are statistical artifacts of time-independent errors present across ecological and evolutionary datasets, which produce hyperbolic patterns of rates through time. We show …

Analysis Of Data Containing Outliers, David L. Farnsworth

Articles

A strategy for accommodating outlying observations, as well as non-representative, suspect, missing, or otherwise troubling observations, is described. Each unusual observation is decomposed into the sum of two components. One component is the value implied by the trusted observations in the data set. The other component is the unusual part. In this way, the fitting of the data set can then proceed, and, additionally, a numerical value can be ascribed to the unusual part. The method offers not only an antidote for observations with irregular numerical values, which often have the power to contaminate and alter analyses, but also a …

Analysis Of R X C Tables Containing Outliers, David L. Farnsworth

Articles

We examine the problem of accommodating outliers in 𝑟 × 𝑐 tables of measurement data when there are no replications. The suggested strategy for the determination of the cells that contain outliers and for handling them analytically is easily understood and implemented in practice and presented in even the most elementary statistics course along with the course’s ANOVA material.