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Earthscape Ai Dataset V1.1, Matthew Massey, Abdullah-Al-Zubaer Imran May 2025

Earthscape Ai Dataset V1.1, Matthew Massey, Abdullah-Al-Zubaer Imran

Research Data--KGS

EarthScape v1.1 Dataset Download Links:

esv1p1_smokeset.zip (197 MB)

esv1p1_splits.zip (2.5 MB)

esv1p1_usa_ky_data.zip (1 MB)

esv1p1_usa_ky_hardin_howevalley.zip (26.3 GB)

esv1p1_usa_ky_hardin_sonora.zip (26.3 GB)

esv1p1_usa_ky_warren.zip (166 GB)

Surficial geologic mapping is essential for understanding Earth surface processes and supporting applications in engineering, hazard assessment, and resource management. However, traditional mapping approaches are labor-intensive, limiting spatial coverage and introducing subjectivity. To address these challenges, we introduce EarthScape, a multimodal, AI-ready geospatial dataset designed for surficial geologic mapping and Earth surface analysis. EarthScape integrates high-resolution aerial RGB and near-infrared (NIR) imagery, digital elevation models (DEM), multi-scale terrain features derived from DEMs, and hydrologic and infrastructure vector …


Rural Access To Certified Community Behavioral Health Clinics (Ccbhcs), Aaron P. Smith, Jeffrey Talbert May 2025

Rural Access To Certified Community Behavioral Health Clinics (Ccbhcs), Aaron P. Smith, Jeffrey Talbert

Rural & Underserved Health Research Center Publications

Overview of Key Findings

▪ The number of Certified Community Behavioral Health Clinics (CCBHCs) expanded from 2022 to 2023, increasing from 371 to 480. Most of the growth was driven by rural counties (57.9% increase, 126 to 199) while urban counties increased by 14.7% (245 to 281).

▪ The number of services offered at CCBHCs is similar in both rural and urban localities, but urban CCBHCs were more likely to offer services that cater to a diverse client base, such as speaking different languages, and nicotine cessation programs. Rural CCBHCs were more likely to have programs for minors, veterans, and …


Maternal Occupational Exposure To Noise, Kristen W. Van Buren, Carissa M. Rocheleau, I. Chen Chen, Wayne T. Sanderson, Leslie A. Macdonald, Elizabeth A. Masterson, Eirini Nestoridi, Elizabeth C. Ailes May 2025

Maternal Occupational Exposure To Noise, Kristen W. Van Buren, Carissa M. Rocheleau, I. Chen Chen, Wayne T. Sanderson, Leslie A. Macdonald, Elizabeth A. Masterson, Eirini Nestoridi, Elizabeth C. Ailes

Epidemiology and Environmental Health Faculty Publications

Objectives We investigated associations between occupational noise and gestational diabetes mellitus, pregnancy-related hypertension (including pre-eclampsia/eclampsia), preterm birth and small for gestational age (SGA) infants. Methods Data were analysed for 7889 singleton, live-born infants without major birth defects or chromosomal disorders and their mothers from the National Birth Defects Prevention Study from 1997 to 2011. Typical maternal occupational noise exposure in all jobs held from 1 month prior to conception through the end of pregnancy was estimated by expert rater and categorised as quiet (<60 A-weighted decibels (dBA)), low (60-75 dBA), moderate (76-84 dBA) or loud (>85 dBA). Multiple logistic regression was used to estimate associations (adjusted ORs and 95% CIs) between …


Fentanyl Test Strip Use And Overdose Risk Reduction Behaviors Among People Who Use Drugs, Rachel A Vickers-Smith, Kitty H Gelberg, Janet E Childerhose, Denise C Babineau, Redonna Chandler, James L David, Lauren D'Costa, Megan Dzurec, Barry Eggleston, Amanda Fallin-Bennett, Laura C Fanucchi, Soledad Fernandez, Jace Gilbert, Louisa Gilbert, Megan E Hall, Brooke E Hiltz, Michael W Konstan, Kathryn E Lancaster, Beth Linas, Katherine R Marks, Nichole Michaels, Jennifer Miles, Fernando Montero, Haley J Ramsey Harden, Carter Roeber, Mary R Russo, Rachel Taylor, Melissa A Theis May 2025

Fentanyl Test Strip Use And Overdose Risk Reduction Behaviors Among People Who Use Drugs, Rachel A Vickers-Smith, Kitty H Gelberg, Janet E Childerhose, Denise C Babineau, Redonna Chandler, James L David, Lauren D'Costa, Megan Dzurec, Barry Eggleston, Amanda Fallin-Bennett, Laura C Fanucchi, Soledad Fernandez, Jace Gilbert, Louisa Gilbert, Megan E Hall, Brooke E Hiltz, Michael W Konstan, Kathryn E Lancaster, Beth Linas, Katherine R Marks, Nichole Michaels, Jennifer Miles, Fernando Montero, Haley J Ramsey Harden, Carter Roeber, Mary R Russo, Rachel Taylor, Melissa A Theis

Epidemiology and Environmental Health Faculty Publications

IMPORTANCE: Illegal fentanyl is driving overdose mortality, and fentanyl test strips (FTS) can be used to test drugs for fentanyl at the point of consumption. Evidence on whether FTS use is associated with overdose risk reduction behaviors is encouraging, but largely limited to smaller, single-site studies.

OBJECTIVE: To determine whether self-reported baseline FTS use among people who use drugs (PWUD) was associated with overdose risk reduction behaviors and nonfatal overdose over a 28-day follow-up.

DESIGN, SETTING, AND PARTICIPANTS: Multisite, observational cohort study of PWUD conducted from May to December 2023 as an ancillary study of the HEALing Communities Study, which …


Introducing Social Determinants Of Health To The Alzheimer's Disease Research Center Network, Megan Zuelsdorff, Erin L. Abner, Joyce E. Balls-Berry, Gregory A. Jicha, Serggio Lanata, Gladys E. Maestre, Monica Rosselli, Shana D. Stites, Rachel A. Whitmer, Consuelo H. Wilkins, Lisa L. Barnes May 2025

Introducing Social Determinants Of Health To The Alzheimer's Disease Research Center Network, Megan Zuelsdorff, Erin L. Abner, Joyce E. Balls-Berry, Gregory A. Jicha, Serggio Lanata, Gladys E. Maestre, Monica Rosselli, Shana D. Stites, Rachel A. Whitmer, Consuelo H. Wilkins, Lisa L. Barnes

Epidemiology and Environmental Health Faculty Publications

The Alzheimer's Disease Research Centers (ADRCs) consortium represents a critical locus of research on Alzheimer's disease and related disorders (ADRD) prevention, diagnosis, and intervention. Through the National Alzheimer's Coordinating Center's (NACC) standardized protocol, the Uniform Data Set (UDS), ADRCs have collected rich, harmonizable clinical and cognitive data. However, the collection of social data has been sparse and Center specific, constraining ADRD science that addresses research priorities on social determinants of health (SDOH) and health equity. Capitalizing on the transition to a revised UDS version 4, an interdisciplinary committee representing 10 ADRCs reviewed the literature and instrumentation, ultimately creating a brief …


Pharmacokinetic Modeling And Model-Based Hypothesis Generation For Dose Optimization Of Clonidine In Neonates With Neonatal Opioid Withdrawal Syndrome, Fei Tang, Chee M. Ng, Jamie Horn, Henrietta S. Bada, Markos Leggas May 2025

Pharmacokinetic Modeling And Model-Based Hypothesis Generation For Dose Optimization Of Clonidine In Neonates With Neonatal Opioid Withdrawal Syndrome, Fei Tang, Chee M. Ng, Jamie Horn, Henrietta S. Bada, Markos Leggas

Epidemiology and Environmental Health Faculty Publications

The No-POPPY study (NCT03396588), a double-blind, randomized trial compared morphine with clonidine therapy for neonatal opioid withdrawal syndrome (NOWS) and found that the duration of treatment was similar across groups. This is significant because perinatal use of morphine has the potential for neurodevelopmental consequences. Still, the clonidine group reached symptom stabilization (Finnegan score (FS) < 8) later than the morphine group and had a more significant number of patients who required adjunct therapy. However, the mean FS was consistently lower in the clonidine group after day 6. This prompted us to use pharmacokinetic (PK) and parametric time-to-event (TTE) modeling to simulate dosage schedules that may decrease the time to stabilization and reduce the need for adjunct therapy. Population PK (popPK) analysis was conducted, and the final model was a one-compartment model with first-order absorption and elimination, incorporating allometric scaling and age effect on apparent clearance (CL/F) and apparent volume (V/F). The population estimates for CL/F and V/F were 13.6 L/h/70 kg and 416 L/70 kg, respectively, similar to the reported values. A Weibull model described the TTE data best, followed by incorporating predicted average concentrations to yield the final Weibull accelerated failure time model. Simulations of dosing strategies showed that increasing both the starting and maximum doses could potentially shorten the time to stabilization, and thus, length of treatment and hospital stay. Given the hypothesis-generating nature of this analysis, the recommended dosing regimens should be tested prospectively to evaluate their benefits.


Hypercoagulable And Autoimmune Factors In Patients With Moyamoya Syndrome, Justin F. Fraser, Min Jian Hou Ma, Christopher Mclouth, Laura Whitnel, Jessica Lasslo, David Dornbos Iii, Jill Roberts May 2025

Hypercoagulable And Autoimmune Factors In Patients With Moyamoya Syndrome, Justin F. Fraser, Min Jian Hou Ma, Christopher Mclouth, Laura Whitnel, Jessica Lasslo, David Dornbos Iii, Jill Roberts

Neuroscience Research Data

Moyamoya is a progressive cerebrovascular condition leading to stenosis of the internal carotid arteries (ICA) and formation of abnormal vasculature at the base of the brain. Patients ultimately suffer from ischemic and/or hemorrhagic stroke. In Kentucky, patients often present with comorbidities, which classifies them as having moyamoya syndrome (MMS). In this prospective observational study, we measured coagulable- and autoimmune-related factors in MMS subjects to identify possible therapeutic targets and help inform clinical care. Venous blood samples were collected from adult subjects diagnosed with MMS and analyzed by the UK Healthcare Clinical Laboratory. Blood samples, demographics, and medical records were obtained …


Beyond The Legislature’S Website: Strategies And Tools For State Legislative Research That Informs Advocacy Work, Jennifer Horne May 2025

Beyond The Legislature’S Website: Strategies And Tools For State Legislative Research That Informs Advocacy Work, Jennifer Horne

Library Faculty and Staff Publications

As the nation’s state legislatures increasingly decide the issues that affect citizens most directly, the ability to identify, track, and understand state legislation is key to successful advocacy efforts. While all state legislative websites provide the status and authoritative text of the bill, this may be insufficient to understand what the bill seeks to do and why the change is being proposed. To find plain English summaries and necessary context and background information on proposed bills, advocates may also need to find appropriate news sources and identify key stakeholders—those who care the most about the bill or are the most …


On The Optimal Design Of Coreless Afpm Machines With Halbach Array Rotors For Electric Aircraft Propulsion, Matin Vatani, John F. Eastham, Xiaoze Pei, Dan M. Ionel May 2025

On The Optimal Design Of Coreless Afpm Machines With Halbach Array Rotors For Electric Aircraft Propulsion, Matin Vatani, John F. Eastham, Xiaoze Pei, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper provides a comprehensive analysis of the winding factor and winding harmonic distribution in coreless stator axial flux permanent magnet (AFPM) machines. The topology of this type of machine and its similarities to conventional cored AFPM machines are discussed. Popular pole/coil number combinations in coreless stator AFPM machines are identified and analyzed in detail. It is demonstrated that the winding factor in these machines varies with radius and can be expressed as the product of the conductor distribution factor, pitch factor, and coil group factor. The formulas for each factor are derived and presented in multiple forms based on …


Hybrid Fea And Meta-Modeling For De Optimization Of A Highly Saturated Spoke Ipm, Oluwaseun A. Badewa, Marcelo Silva, Rosemary E. Alden, Pedram Asef, Dan M. Ionel May 2025

Hybrid Fea And Meta-Modeling For De Optimization Of A Highly Saturated Spoke Ipm, Oluwaseun A. Badewa, Marcelo Silva, Rosemary E. Alden, Pedram Asef, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper introduces a novel approach for high performance electric motor design that combines machine learning (ML)-based meta-modeling with a differential evolution (DE) optimization algorithm. The method leverages finite element analysis (FEA) results to train the ML meta-model, enabling efficient design optimization for high-power density cored machines, such as spoke interior permanent magnet motors (IPM), which exhibit complex nonlinearities and saturation effects. This hybrid ML-DE framework seeks to provide an alternative for physics-based electric motor design and optimization, offering significant reductions in computational effort while maintaining accuracy. The meta-model’s accuracy in capturing the nonlinear relationships between design parameters, core losses, …


Optimal Design Of Coreless Axial Flux Pm Machines Using A Hybrid Machine Learning And Differential Evolution Method, Matin Vatani, David R. Stewart, Pedram Asef, Dan M. Ionel May 2025

Optimal Design Of Coreless Axial Flux Pm Machines Using A Hybrid Machine Learning And Differential Evolution Method, Matin Vatani, David R. Stewart, Pedram Asef, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Coreless stator axial flux permanent magnet (AFPM) machines require computationally intensive three dimensional finite element analysis (FEA) for accurate performance evaluation, making optimization time-consuming and impractical for large-scale design studies. This paper presents a hybrid optimization approach that integrates differential evolution (DE) with artificial neural networks (ANNs) to accelerate the optimization of coreless AFPM machines. In this method, DE driven FEA simulations generate a dataset used to train an ANN surrogate model, significantly reducing reliance on direct FEA computations. The effectiveness of this approach is demonstrated through a multi-objective DE optimization, where the ANN’s predictions are validated against FEA results. …


Winding Factors And Harmonics Of Coreless Axial Flux Pm Machines, Matin Vatani, John F. Eastham, Xiaoze Pei, Dan M. Ionel May 2025

Winding Factors And Harmonics Of Coreless Axial Flux Pm Machines, Matin Vatani, John F. Eastham, Xiaoze Pei, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

This paper provides a comprehensive analysis of the winding factor and winding harmonic distribution in coreless stator axial flux permanent magnet (AFPM) machines. The topology of this type of machine and its similarities to conventional cored AFPM machines are discussed. Popular pole/coil number combinations in coreless stator AFPM machines are identified and analyzed in detail. It is demonstrated that the winding factor in these machines varies with radius and can be expressed as the product of the conductor distribution factor, pitch factor, and coil group factor. The formulas for each factor are derived and presented in multiple forms based on …


Support Effects On Fe- Or Cu-Promoted Ni Catalysts Used In The Catalytic Deoxygenation Of Tristearin To Fuel-Like Hydrocarbons, Great C. Umenweke, Robert Pace, Thomas Récalt, Olivier Heintz, Gilles Caboche, Eduardo Santillan-Jimenez May 2025

Support Effects On Fe- Or Cu-Promoted Ni Catalysts Used In The Catalytic Deoxygenation Of Tristearin To Fuel-Like Hydrocarbons, Great C. Umenweke, Robert Pace, Thomas Récalt, Olivier Heintz, Gilles Caboche, Eduardo Santillan-Jimenez

Chemistry Faculty Publications

Previous studies have shown that fats, oils, and greases (FOG) can be deoxygenated to fuel-like hydrocarbons over inexpensive alumina-supported Ni catalysts promoted with Cu or Fe to afford excellent yields of renewable diesel (RD). In this study, supports other than alumina—namely, SiO2-Al2O3, Ce0.8Pr0.2O2, and ZrO2—were investigated to develop catalysts showing improved RD yields and resistance to coke-induced deactivation relative to Al2O3-supported catalysts. Results showed that catalysts supported on Ce0.8Pr0.2O2 and ZrO2 outperformed SiO2-Al2 …


Sex- And Tissue-Specific Effects Of Leukemia Inhibitory Factor On Mitochondrial Bioenergetics Following Ischemic Stroke, Hemendra J. Vekaria, Sarah J. Shelley, Sarah J. Messmer, Prashant D. Kunjadia, Christopher J. Mclouth, Patrick G. Sullivan, Justin F. Fraser, Keith R. Pennypacker, Chirayu D. Pandya May 2025

Sex- And Tissue-Specific Effects Of Leukemia Inhibitory Factor On Mitochondrial Bioenergetics Following Ischemic Stroke, Hemendra J. Vekaria, Sarah J. Shelley, Sarah J. Messmer, Prashant D. Kunjadia, Christopher J. Mclouth, Patrick G. Sullivan, Justin F. Fraser, Keith R. Pennypacker, Chirayu D. Pandya

Biostatistics Faculty Publications

Oxidative stress due to increased reactive oxygen species (ROS) formation and/or inflammation is considered to play an important role in ischemic stroke injury. Leukemia inhibitory factor (LIF) has been shown to protect both oligodendrocytes and neurons from ischemia by upregulating endogenous anti-oxidants, though the effect of ischemia and the protective role of LIF treatment in mitochondrial function have not been studied. The goal of this study was to determine whether LIF protects ischemia-induced altered mitochondrial bioenergetics in reproductively senescent aged rats of both sexes (≥18 months old), approximately equivalent to the average age of human stroke patients. Animals were euthanized …


An Agrin-Yap/Taz Rigidity Sensing Module Drives Egfr-Addicted Lung Tumorigenesis., Reza Bayat Mokhtari, Divyaleka Sampath, Paige Eversole, Melissa Ong Yu Lin, Dmitriy A. Bosykh, Gandhi T. K. Boopathy, Aravind Sivakumar, Cheng-Chun Wang, Ramesh Kumar, Joe Yeong Poh Sheng, Ellen Karasik, Barbara A. Foster, Han Yu, Xiang Ling, Wenjie Wu, Fengzhi Li, Zoë Weaver Ohler, Christine Fillmore Brainson, David W. Goodrich, Wanjin Hong, Sayan Chakraborty May 2025

An Agrin-Yap/Taz Rigidity Sensing Module Drives Egfr-Addicted Lung Tumorigenesis., Reza Bayat Mokhtari, Divyaleka Sampath, Paige Eversole, Melissa Ong Yu Lin, Dmitriy A. Bosykh, Gandhi T. K. Boopathy, Aravind Sivakumar, Cheng-Chun Wang, Ramesh Kumar, Joe Yeong Poh Sheng, Ellen Karasik, Barbara A. Foster, Han Yu, Xiang Ling, Wenjie Wu, Fengzhi Li, Zoë Weaver Ohler, Christine Fillmore Brainson, David W. Goodrich, Wanjin Hong, Sayan Chakraborty

Markey Cancer Center Faculty Publications

Despite epidermal growth factor receptor (EGFR) is a pivotal oncogene for several cancers, including lung adenocarcinoma (LUAD), how it senses extracellular matrix (ECM) rigidity remain elusive in the context of the increasing role of tissue rigidity on various hallmarks of cancer development. Here it is shown that EGFR dictates tumorigenic agrin expression in lung cancer cell lines, genetically engineered EGFR-driven mouse models, and human specimens. Agrin expression confers substrate stiffness-dependent oncogenic attributes to EGFR-reliant cancer cells. Mechanistically, agrin mechanoactivates EGFR through epidermal growth factor (EGF)-dependent and independent modes, thereby sensitizing its activity toward localized cancer cell-ECM adherence and bulk rigidity …


Temporal Immune Profiling In The Cerebrospinal Fluid And Blood Of Patients With Aneurysmal Subarachnoid Hemorrhage, Thomas A. Ujas, Katie L. Anderson, Jenny Lutshumba, Samantha N. Hart, Jadwiga Turchan-Cholewo, Kevin W. Hatton, Adam D. Bachstetter, Barbara S. Nikolajczyk, Ann M. Stowe May 2025

Temporal Immune Profiling In The Cerebrospinal Fluid And Blood Of Patients With Aneurysmal Subarachnoid Hemorrhage, Thomas A. Ujas, Katie L. Anderson, Jenny Lutshumba, Samantha N. Hart, Jadwiga Turchan-Cholewo, Kevin W. Hatton, Adam D. Bachstetter, Barbara S. Nikolajczyk, Ann M. Stowe

Surgery Faculty Publications

Delayed cerebral ischemia (DCI) is a significant complication of aneurysmal subarachnoid hemorrhage (aSAH). This study profiled immune responses after aSAH and evaluated their association with DCI onset. Twelve aSAH patients were enrolled. Leukocyte populations and cytokine levels were analyzed in cerebrospinal fluid (CSF) and peripheral blood (PB) on days 3, 5, 7, 10, and 14 post-aSAH. PB mononuclear cells (PBMCs) were collected, and their cytokine production quantified following stimulation. Mixed-effects models reveal distinct immune cell dynamics in CSF compared with blood. Monocyte/macrophage numbers continue to increase in both CSF and PBMCs for days post-aSAH. CD4+ human leukocyte antigen II+ …


Training, Validating, And Testing Machine Learning Prediction Models For Endometrial Cancer Recurrence, Jesus Gonzalez Bosquet, Andrew Polio, Erin George, Ahmad A. Tarhini, Casey M. Cosgrove, Marilyn S. Huang, Bradley Corr, Aliza L. Leiser, Bodour Salhia, Kathleen Darcy, Christopher M. Tarney, Rob L. Dood, Lauren E. Dockery, Stephen B. Edge, Michael J. Cavnar, Lisa Landrum, Rob J. Rounbehler, Michelle Churchman, Vincent M. Wagner May 2025

Training, Validating, And Testing Machine Learning Prediction Models For Endometrial Cancer Recurrence, Jesus Gonzalez Bosquet, Andrew Polio, Erin George, Ahmad A. Tarhini, Casey M. Cosgrove, Marilyn S. Huang, Bradley Corr, Aliza L. Leiser, Bodour Salhia, Kathleen Darcy, Christopher M. Tarney, Rob L. Dood, Lauren E. Dockery, Stephen B. Edge, Michael J. Cavnar, Lisa Landrum, Rob J. Rounbehler, Michelle Churchman, Vincent M. Wagner

Surgery Faculty Publications

PURPOSEEndometrial cancer (EC) is the most common gynecologic cancer in the United States with rising incidence and mortality. Despite optimal treatment, 15%-20% of all patients will recur. To better select patients for adjuvant therapy, it is important to accurately predict patients at risk for recurrence. Our objective was to train, validate, and test models of EC recurrence using lasso regression and other machine learning (ML) and deep learning (DL) analytics in a large, comprehensive data set.METHODSData from patients with EC were downloaded from the Oncology Research Information Exchange Network database and stratified into low risk, The International Federation of Gynecology …


Outcomes Associated With Absent Blood Product Utilization In Jehovah’S Witness Patients Compared To The Standard Of Care In Cardiac Surgery, Nathan Fields, Ayesha Ather, Dan Davenport, Sadiq Ahmed, Michael Sekela May 2025

Outcomes Associated With Absent Blood Product Utilization In Jehovah’S Witness Patients Compared To The Standard Of Care In Cardiac Surgery, Nathan Fields, Ayesha Ather, Dan Davenport, Sadiq Ahmed, Michael Sekela

Surgery Faculty Publications

Introduction: For Jehovah’s Witness (JW) patients requiring cardiac surgery, various strategies such as preoperative use of erythropoietin stimulating agents (ESAs), intravenous iron (IVI), and non-pharmacologic interventions have emerged to prevent complications from blood loss given transfusion is not acceptable in this population. Methods: Retrospective case-control of cardiac surgeries performed by the same surgeon between 1/1/2011 and 8/30/2021. JW patients were matched to non-JW who received blood products and non-JW who did not receive blood products on a 1:2:2 basis. Patients were matched on procedure, age, gender, and Society of Thoracic Surgeons morbidity score. Eligible patients were aged >18 years and …


Reproductive Performance And Milk Composition Of Sows Fed Diets Supplemented With An Immunomodulator, Mark J. Estienne, Jung W. Lee, R. Tyler Niblett, Brooke D. Humphrey, H. James Monegue, Merlin D. Lindemann May 2025

Reproductive Performance And Milk Composition Of Sows Fed Diets Supplemented With An Immunomodulator, Mark J. Estienne, Jung W. Lee, R. Tyler Niblett, Brooke D. Humphrey, H. James Monegue, Merlin D. Lindemann

Animal and Food Sciences Faculty Publications

A cooperative study involving 189 litters from 114 sows (initial BW of 200.8 ± 37.1 kg) at two experiment stations was conducted to investigate the effects of dietary supplementation with OmniGen-AF (OG) (Phibro Animal Health Co., Teaneck, NJ, USA), a nutritional product formulated to improve immune function of animals, on sow reproductive performance and milk composition. Dietary treatments were (1) corn–soybean meal-based control diets or (2) control diets supplemented with OG at 0.75% (~9 g of OG/100 kg BW/d). Supplementation of diets with OG resulted in lesser (p < 0.05) BW changes of sows during lactation (−12.1 vs. −8.2 kg). Litter sizes for control and OG-fed sows were similar, but sows fed OG-based diets had greater (p < 0.05) litter weight for total born (18.3 vs. 19.3 kg) and weaned (63.2 vs. 67.0 kg) and lactation litter gain (47.8 vs. 50.7 kg). Lactation feed intake for the controls and OG-fed sows (5.32 vs. 5.52 kg/d, respectively) did not differ. Supplementing diets with OG increased lactose content (5.78 vs. 5.84%; p = 0.05) and reduced protein content (4.77 vs. 4.68%; p = 0.04) in sow milk. In conclusion, dietary supplementation with OG at 0.75% reduced weight loss during lactation and improved litter weights with marginal effects on the milk composition of sows.


Pparα Regulates Er–Lipid Droplet Protein Calsyntenin-3Β To Promote Ketogenesis In Hepatocytes, Lauren F. Uchiyama, Alexander Nguyen, Kevin Qian, Liujuan Cui, Khoi T. Pham, Xu Xiao, Yajing Gao, Yuta Shimanaka, Marcus J. Tol, Laurent Vergnes, Karen Reue, Peter Tontonoz Apr 2025

Pparα Regulates Er–Lipid Droplet Protein Calsyntenin-3Β To Promote Ketogenesis In Hepatocytes, Lauren F. Uchiyama, Alexander Nguyen, Kevin Qian, Liujuan Cui, Khoi T. Pham, Xu Xiao, Yajing Gao, Yuta Shimanaka, Marcus J. Tol, Laurent Vergnes, Karen Reue, Peter Tontonoz

Physiology Faculty Publications

Ketogenesis requires fatty acid flux from intracellular (lipid droplets) and extrahepatic (adipose tissue) lipid stores to hepatocyte mitochondria. However, whether interorganelle contact sites regulate this process is unknown. Recent studies have revealed a role for Calsyntenin-3β (CLSTN3β), an endoplasmic reticulum–lipid droplet contact site protein, in the control of lipid utilization in adipose tissue. Here, we show that Clstn3b expression is induced in the liver by the nuclear receptor PPARα in settings of high lipid utilization, including fasting and ketogenic diet feeding. Hepatocyte-specific loss of CLSTN3β in mice impairs ketogenesis independent of changes in PPARα activation. Conversely, hepatic overexpression of CLSTN3β …


Improving Seed Pellets For Grassland Renovation, H Hirota, N Fukuyama, T Kanno Apr 2025

Improving Seed Pellets For Grassland Renovation, H Hirota, N Fukuyama, T Kanno

IGC Proceedings (1977-2023)

More than twelve hundred public pastures have been estab­lished since I 960's in Japan, totalling some 0.6 mil. ha located in highland areas to raise cattle. Now most of them need reno­vation because of low productivity. This is due to mismanage­ment, insect attack, weed invasion and under-utilization, etc. But complete tilling is not advocated on slope sites as it is in danger of soil erosion after reseeding. Several methods h��ve been proposed to renovate the deteriorated pastures, e.g. usmg herbicides (Blackmore, 1965), burning (Sawada et al., 1986), surface tilling (White, 1973), surface sowing with phosphate and lime (Cullen, 1966) and …


Consumer Perceptions Of Hemp-Fed Aquaculture, Jillian Hyink, Brandon R. Mcfadden, Saroj Adhikari, Brandy E. Phipps, Tyler Mark, Waldemar Rossi, Craig Schluttenhofer, Seong D. Yun Apr 2025

Consumer Perceptions Of Hemp-Fed Aquaculture, Jillian Hyink, Brandon R. Mcfadden, Saroj Adhikari, Brandy E. Phipps, Tyler Mark, Waldemar Rossi, Craig Schluttenhofer, Seong D. Yun

Agricultural Economics Faculty Publications

Global demand for seafood has increased significantly in recent decades and is projected to continue rising. Aquaculture production has increased in the United States and globally to meet this demand, offering a relatively sustainable supplement to wild fish supplies. However, increased production further strains natural populations of pelagic species used to make fishmeal and fish oil into feedstocks, raising production costs and introducing safety concerns associated with fish consumption. A potential alternative feed ingredient is hemp, which can provide a cost-effective and nutritious feed for carnivorous fish. Moreover, hemp could meet the requirements for the final product to carry a …


Tolerance Of Homonegativity And Transnegativity Predicts Negative Evaluations Of Lgbt People And Lgbt-Supportive Policies Among Us-Based Heterosexual, Cisgender Participants, Abigail M. Folberg, Jennifer S. Hunt, Ellen D. B. Riggle Apr 2025

Tolerance Of Homonegativity And Transnegativity Predicts Negative Evaluations Of Lgbt People And Lgbt-Supportive Policies Among Us-Based Heterosexual, Cisgender Participants, Abigail M. Folberg, Jennifer S. Hunt, Ellen D. B. Riggle

Gender and Women's Studies Faculty Publications

Many people in the United States express anti-LGBT attitudes and oppose LGBT rights. These views are perpetuated when others, including allies, tolerate expressions of anti-LGBT bias. In this study, we adapted and validated a measure of tolerance of homonegativity and transnegativity (TOHT), and assessed its associations with evaluations of LGBT people, straight people, support for LGBT rights, and system-justifying ideologies among heterosexual, straight, binary-gendered/non-trans (i.e., cisgender) women and men who identified as liberal, moderate, or conservative (N = 295). Participants completed measures of TOHT, evaluations of LGBT people, support for LGBT rights, authoritarianism, religiosity, and contact with LGBT people. Analyses …


Smart Home Hvac Digital Twin Ml Meta-Model For Electric Power Distribution Systems With Solar Pv And Cta-2045 Controls, Rosemary E. Alden, Evan S. Jones, Steven B. Poore, Dan M. Ionel Apr 2025

Smart Home Hvac Digital Twin Ml Meta-Model For Electric Power Distribution Systems With Solar Pv And Cta-2045 Controls, Rosemary E. Alden, Evan S. Jones, Steven B. Poore, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Building modeling, specifically heating, ventilation, and air conditioning (HVAC) load and equivalent energy storage calculations, represent a key focus for decarbonization of buildings and smart grid controls. In this paper, an ultra-fast one minute resolution Hybrid Machine Learning Model (HMLM) is proposed as part of a novel contribution in the field of residential physics-based smart home surrogate modeling. Emulation of white box models, or digital twins, with editable parameters through machine learning (ML) meta-modeling serves as an alternative to wide-spread experimental big data collection. The HMLM employs combined k-means clustering with multiple linear regression (MLR) to emulate minutely HVAC power …


Mo-Substitution In V2O5 Tunes The Structure Towards Three-Dimensional Connectivity And Improves Li-Ion Battery Cycling, Kausturi Parui, Bonnie G. Gardner, Kathryn A. Pitton, Noah G. Caracuel, Emily Vidal-Torres, Shornam Gandhi, Beth S. Guiton, Juan C. Nino, Megan M. Butala Apr 2025

Mo-Substitution In V2O5 Tunes The Structure Towards Three-Dimensional Connectivity And Improves Li-Ion Battery Cycling, Kausturi Parui, Bonnie G. Gardner, Kathryn A. Pitton, Noah G. Caracuel, Emily Vidal-Torres, Shornam Gandhi, Beth S. Guiton, Juan C. Nino, Megan M. Butala

Chemistry Faculty Publications

The development of alternative energy sources is crucial for reducing reliance on fossil fuels, particularly for mobile applications such as personal electronics and transportation. This necessitates the advancement of battery materials based on abundant and inexpensive constituent elements. To achieve this requires investigating materials in a broader compositional and structural design space. Early transition metal oxides, including the intercalation electrode α − V2O5, however, the performance of V2O5 is hindered by phase transformations during battery cycling that lead to capacity fade and short device lifetimes. This study investigates the modification of V2 …


Clustering Individuals Using Inmtd, Zuqi Li, Sam F.L. Windels, Noël Malod-Dognin, Seth M. Weinberg, Mary L. Marazita, Susan Walsh, Mark D. Shriver, David W. Fardo, Peter Claes, Nataša Przulj, Kristel Van Steen Apr 2025

Clustering Individuals Using Inmtd, Zuqi Li, Sam F.L. Windels, Noël Malod-Dognin, Seth M. Weinberg, Mary L. Marazita, Susan Walsh, Mark D. Shriver, David W. Fardo, Peter Claes, Nataša Przulj, Kristel Van Steen

Biostatistics Faculty Publications

Motivation: Combining omics and images can lead to a more comprehensive clustering of individuals than classic single-view approaches. Among the various approaches for multi-view clustering, nonnegative matrix tri-factorization (NMTF) and nonnegative Tucker decomposition (NTD) are advantageous in learning low-rank embeddings with promising interpretability. Besides, there is a need to handle unwanted drivers of clusterings (i.e. confounders). Results: In this work, we introduce a novel multi-view clustering method based on NMTF and NTD, named INMTD, which integrates omics and 3D imaging data to derive unconfounded subgroups of individuals. According to the adjusted Rand index, INMTD outperformed other clustering methods on a …


The Acth Test Fails To Diagnose Adrenal Insufficiency And Augments Cytokine Production In Sepsis, Dan Hao, Qian Wang, Misa Ito, Jianyao Xue, Ling Guo, Bin Huang, Chieko Mineo, Philip W. Shaul, Xiang An Li Apr 2025

The Acth Test Fails To Diagnose Adrenal Insufficiency And Augments Cytokine Production In Sepsis, Dan Hao, Qian Wang, Misa Ito, Jianyao Xue, Ling Guo, Bin Huang, Chieko Mineo, Philip W. Shaul, Xiang An Li

Physiology Faculty Publications

The adrenocorticotropic hormone (ACTH) test diagnoses relative adrenal insufficiency (RAI) or critical illness–related corticosteroid insufficiency (CIRCI). Initially, guidelines recommended corticosteroid/glucocorticoid (GC) therapy for septic patients with RAI, but later trials did not show a survival benefit, leading to updated guidelines that abandon targeting RAI or CIRCI. Recent studies with an RAI mouse model showed a clear survival benefit from GC therapy in mice with RAI, suggesting that inconclusive GC clinical trials might be due to issues with the ACTH test rather than targeting RAI. To investigate, we performed the ACTH test in septic mice. Interestingly, the ACTH test identified most …


Novel Approaches To Analyze Consumer Behavior And Policies To Promote Sustainable Consumption, Bhagyashree Katare, Xuejian Wang, Shuoli Zhao, Jacqueline Yenerall Apr 2025

Novel Approaches To Analyze Consumer Behavior And Policies To Promote Sustainable Consumption, Bhagyashree Katare, Xuejian Wang, Shuoli Zhao, Jacqueline Yenerall

Agricultural Economics Faculty Publications

Technological advancements, such as online grocery shopping, have significantly transformed consumer retail environments and experiences. Effectively studying consumer behavior in these new environments requires the use of novel methodological approaches, which will also aid in developing interventions to encourage sustainable consumption. This paper begins by providing an overview of the current literature on novel approaches to analyzing consumer behavior, then provides an empirical application by examining consumer decision-making pathways within an online grocery shopping platform. Specifically, the paper focuses on exploring the consumers’ digital footprints, such as page visits, product additions and removals, and interactions with information labels to identify …


Candidates Be Posting, Josephine Lukito, Maggie Macdonald, Bin Chen, Megan A. Brown, Stephen Prochaska, Yunkang Yang, Jason Greenfield, Jiyoun Suk, Wei Zhong, Ross Dahlke, Porismita Borah Apr 2025

Candidates Be Posting, Josephine Lukito, Maggie Macdonald, Bin Chen, Megan A. Brown, Stephen Prochaska, Yunkang Yang, Jason Greenfield, Jiyoun Suk, Wei Zhong, Ross Dahlke, Porismita Borah

Political Science Faculty Publications

In this multi-platform, comparative study, we analyze social media messages from political candidates (N = 1,517) running for Congress during the 2022 U.S. Midterm election. We collect data from seven social media platforms: Facebook, Twitter, Truth Social, Gettr, Instagram, YouTube, and Rumble over the 4 weeks before and after election day. With this unique dataset of posts, we apply computational methods to identify messages that sought to mobilize individuals (online and offline) to donate money, vote, attend events, engage with the campaign online, and visit the campaign’s content on other platforms. We find that Democrats were not on alt-tech platforms …


The Price Of Justice, Jillienne Haglund, Francesca Parente Apr 2025

The Price Of Justice, Jillienne Haglund, Francesca Parente

Political Science Faculty Publications

What factors explain compliance with monetary damages awarded by the Inter-American Court of Human Rights (IACtHR)? States comply with the payment of monetary damages at higher rates than other forms of reparation. However, the higher compliance rate belies the significant variation in time to compliance with the payment of monetary awards. We identify three case-level characteristics that explain this variation: size of awards, number of victims, and victim identity. We test our hypotheses utilizing original datasets on compliance with monetary damages and case characteristics in IACtHR judgments through 2019, and find support for all three factors on time to compliance.