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Full-Text Articles in Entire DC Network
Assessing Forest Health And Small Mammals After A Limited Suppression Wildfire In Colville National Forest, Samantha J. Kennel
Assessing Forest Health And Small Mammals After A Limited Suppression Wildfire In Colville National Forest, Samantha J. Kennel
EWU Masters Thesis Collection
In the face of a wildfire crisis, there is a growing need to expand the pace and scale of forest treatments, including the strategic use of wildfire as a management tool. However, ecological outcomes remain uncertain in forests shaped by more than a century of fire suppression. The 2022 Thor Fire, a managed wildfire in the Colville National Forest, Washington, provides an opportunity to evaluate forest health in a relatively understudied system. Using a control–impact design, I established 100 monitoring plots in burned and adjacent unburned forests to assess how wildfire and fire severity influence forest structure, fuels, and tree …
Molecular Detection Of Campylobacter Spp. In Filth Flies Associated With Broiler Breeder Facilities In Oklahoma And Arkansas, Allen Szalanski
Molecular Detection Of Campylobacter Spp. In Filth Flies Associated With Broiler Breeder Facilities In Oklahoma And Arkansas, Allen Szalanski
Entomology and Plant Pathology Faculty Publications and Presentations
Adult filth flies (Diptera: Muscidae) (non-biting flies that develop in decaying organic matter) are abundant in poultry facilities and may contribute to the dissemination of pathogenic Campylobacter spp. among flocks. We sampled adult house flies, Musca domestica L., and black dump flies, Hydrotaea aenescens (Wiedemann), at five broiler-breeder farms in Oklahoma and Arkansas to determine the prevalence of Campylobacter spp. vectored by filth flies and the effects of farm, fly species, and location (inside vs outside houses) on the rates of Campylobacter spp. occurrence. A total of 1,076 house flies and 1,008 black dump flies were collected inside and outside …
Think It, Believe It, Receive It, Angelia Nguyen
Think It, Believe It, Receive It, Angelia Nguyen
Scientific Kenyon: The Neuroscience Edition
No abstract provided.
Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj
Intelligent Audio‑To‑Indian Sign‑Language And Sign‑To‑Audio Translation System Using Mediapipe, Tensorflow, Whisper And Google Tts, N. Pothanna, T. Kusuma, S. Haindavi, T. Sreeja, Shaik Shaheem Taj
Mansoura Engineering Journal
Communication barriers between the Deaf community and the general public remain a persistent challenge, particularly in multilingual settings where Indian Sign Language (ISL) is the primary mode of interaction. We propose a real-time bidirectional translation framework integrating MediaPipe for hand landmark extraction, a Convolutional Neural Network (CNN) classifier built with TensorFlow/Keras for gesture recognition, OpenAI Whisper for robust multilingual speech-to-text transcription, and Google TTS for naturalistic speech synthesis. The system achieves 93% classification accuracy across 35 ISL classes (alphabets A–Z and numerals 1–9) on a dataset of 42,700 images, with macro and weighted F1-scores of 0.93. Deployed as a Flask …
Enhancing Underwater Imagery And Organism Detection Using Reinforcement Learning, K. Arul Deepa, P. Ramya, Karpaga Vinodha, Dharmaraja C
Enhancing Underwater Imagery And Organism Detection Using Reinforcement Learning, K. Arul Deepa, P. Ramya, Karpaga Vinodha, Dharmaraja C
Journal of Marine Science and Technology–Taiwan
Underwater environments pose significant challenges in assessing image quality and organism detection due to light scattering and absorption, which limits visibility and color fidelity. Existing solutions often fail to effectively address these challenges, resulting in suboptimal image quality and hindering organism identification. This paper examines the problem through a dual-focused approach: enhancing underwater images and detecting organisms using the Underwater Image Enhancement Benchmark (UIEB) dataset. The first step introduces a state-of-the-art method for image enhancement by applying reinforcement learning (RL) principles. By formulating the enhancement process as a Markov Decision Process (MDP)—where states are represented by image features and actions …
Hybridization And Introgression In Marine Invertebrates: Population Genomics Of Phymactis Papillosa And Asterias Sea Stars, Christopher J. Dookie
Hybridization And Introgression In Marine Invertebrates: Population Genomics Of Phymactis Papillosa And Asterias Sea Stars, Christopher J. Dookie
Dissertations and Theses
Hybridization and introgression are evolutionary significant processes in marine invertebrates (Sanford & Kelly,2011) yet genome-wide investigations of gene flow in these taxa remain limited relative to vertebrate systems (Marchi et al., 2021). This thesis presents genomic analyses of hybridization and introgression in two marine invertebrates occupying contrasting oceanographic settings and characterized by contrasting genomic datasets: restriction-site associated DNA sequencing (RADseq) SNP data for the eastern Pacific sea anemone Phymactis papillosa and whole genome sequencing (WGS) data for the North Atlantic sea stars Asterias rubens and Asterias forbesi. For each system, I applied coalescent-based species tree inference using CASTER (Zhang …
Dna Barcoding Complements Citizen Science Identifications In An Arthropod Survey At Governors Island, New York, Malky Gestetner
Dna Barcoding Complements Citizen Science Identifications In An Arthropod Survey At Governors Island, New York, Malky Gestetner
Dissertations and Theses
Arthropods are declining worldwide, threatened by habitat loss, climate change, and growing urbanization. Efforts to monitor arthropod biodiversity are crucial for conservation policies and for maintaining the ecosystem services provided by these animals in urban environments. Surveys of arthropods have been attempted in many New York neighborhoods, but no formal assessment has been conducted on Governors Island, which harbors 72-acres of parkland within a short boat ride away from Manhattan. This is a deficiency which this study helps to address. Following student-led collection efforts within four Governors Island sites, DNA barcoding was employed to complement specimen identification based on morphology …
“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown
“Shaking The Ladder” Reveals How Analytic Choices Can Influence Associations In Nutrition Epidemiology: Beef Intake And Coronary Heart Disease As A Case Study, Colby J Vorland, Lauren E O'Connor, Beate Henschel, Cuiqiong Huo, James M Shikany, Carlos A Serrano, Robert Henschel, Stephanie L Dickinson, Keisuke Ejima, Aurelian Bidulescu, David B Allison, Andrew W Brown
Children’s Nutrition Research Center Staff Publications
Nutrition epidemiological models involve many analytic decisions, such as defining exposures, selecting which covariates to include, or configuring variables in different ways. We explored the impact of analytical decisions on conclusions in nutrition epidemiology using self-reported beef intake and incident coronary heart disease as a case study. We used REasons for Geographic and Racial Differences in Stroke (REGARDS) data, and selected covariates and their configurations from published literature to recapitulate common models used to assess associations between meat intake and health outcomes. Three model sets were designed: sets one and two used continuous and quintile-defined beef intakes, respectively, each with …
Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison
Examining Widely Held Propositions On Human Dietary Protein Needs And Benefits: A Critical Review Of The Science That Shapes Both The Data And Our Understanding Of An Essential Macronutrient, Mitchell M Kanter, Sally Aaron, Steven N Austad, Andrew W Brown, Nicholas A Burd, Wayne W Campbell, Mark Cope, Teresa A Davis, John W Erdman, Miguel Freitas, Kristen Hicks-Roof, Samuel Klein, Wantanee Kriengsinyos, Dudley W Lamming, Donald K Layman, Heather J Leidy, Kevin C Maki, Richard D Mattes, Shalene Mcneill, Daniel R Moore, Stefan M Pasiakos, Stuart M Phillips, David Raubenheimer, Wendy Reinhardt, Nancy R Rodriguez, Stephen Simpson, Hans H Stein, Luc J C Van Loon, Connie M Weaver, David B Allison
Children’s Nutrition Research Center Staff Publications
The essentiality of protein in the human diet is unequivocal. Yet researchers, clinicians, and lay people often believe numerous propositions about dietary protein despite insufficient supporting or refuting data in some instances. To address this disconnect, and to "pressure-test" current beliefs about dietary protein, the Indiana University School of Public Health-Bloomington convened a workshop in February 2025 titled "Human Dietary Protein Needs and Benefits: A Critical Assessment of Postulated Propositions." More than 20 international experts discussed (1) methodologic issues affecting data acquisition and interpretation; (2) "optimal" dietary protein intakes and effects on muscle protein synthesis rates, muscle protein accretion, …
Sustainable Community-Wide Model To Enhance Cancer Data Usage And Utility, Emily S Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih, Rawan Shraim, Gregory Wheeler, Diana Thomas, Rakesh Khanna, Stephanie Sandor, Jinghui Zhang, Sapna Oberoi, Nicolas J Llosa, Aditya Suru, Fernanda Silva Michels, Eric Durbin, Anna Fernandez, Lucy Han, James Galbraith, Yin Lu, Brian Furner, James H Tanis, Michael Watkins, David Higgins, Gavriel Matt, Xin Zhou, Yang Li, Marcin Cieslik, Jamie Estill, Michael Sierk, Yanling Sun, Weiping Ma, Joseph Flores-Toro, Freddie Pruitt, Subhashini Jagu, Elmer A Fernández, Daniela Orschanski, Stephanie J Spielman, Jaclyn Taroni, Trinh Nguyen, Brian Capaldo, Erin Beck, Tanja Davidsen, Johanna Goderre Jones, Minghong Ward, Anne Sturcke, Jennifer M Torres Del Valle, Sean Hanlon, Danielle Daee, Brandon Wright, Nathaniel Boyd, Heather Basehore, Liang Liu, Ying Hu, Daoud Meerzaman, Huiqing Li, Ying Wu, Gregory H Reaman, Erin Rudzinski, Jack F Shern, Brigitte Widemann, Warren Kibbe, Jaime Guidry Auvil
Sustainable Community-Wide Model To Enhance Cancer Data Usage And Utility, Emily S Boja, Mousumi Ghosh, Ying Huang, Tung-Shing Mamie Lih, Rawan Shraim, Gregory Wheeler, Diana Thomas, Rakesh Khanna, Stephanie Sandor, Jinghui Zhang, Sapna Oberoi, Nicolas J Llosa, Aditya Suru, Fernanda Silva Michels, Eric Durbin, Anna Fernandez, Lucy Han, James Galbraith, Yin Lu, Brian Furner, James H Tanis, Michael Watkins, David Higgins, Gavriel Matt, Xin Zhou, Yang Li, Marcin Cieslik, Jamie Estill, Michael Sierk, Yanling Sun, Weiping Ma, Joseph Flores-Toro, Freddie Pruitt, Subhashini Jagu, Elmer A Fernández, Daniela Orschanski, Stephanie J Spielman, Jaclyn Taroni, Trinh Nguyen, Brian Capaldo, Erin Beck, Tanja Davidsen, Johanna Goderre Jones, Minghong Ward, Anne Sturcke, Jennifer M Torres Del Valle, Sean Hanlon, Danielle Daee, Brandon Wright, Nathaniel Boyd, Heather Basehore, Liang Liu, Ying Hu, Daoud Meerzaman, Huiqing Li, Ying Wu, Gregory H Reaman, Erin Rudzinski, Jack F Shern, Brigitte Widemann, Warren Kibbe, Jaime Guidry Auvil
Children’s Nutrition Research Center Staff Publications
Despite vast investments in data collection, generation, and sharing from childhood cancer studies, for example, Gabriella Miller Kids First Research Program, Childhood Cancer Data Initiative, and other efforts, secondary use of data remains a challenge especially for rare diseases. The National Cancer Institute (NCI) Office of Data Sharing (ODS) aimed to promote FAIR (Findable, Accessible, Interoperable, Reusable) data sharing practices to enhance data utility, accelerate discovery, and foster interdisciplinary collaboration. NCI ODS launched its inaugural Data Jamboree focusing on childhood cancer alongside its third Annual Symposium in September 2025. Over 120 participants with diverse backgrounds coalesced into 23 multidisciplinary teams …
Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum
Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum
Faculty Publications
Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …
Analyzing Changes In Russian Olive Distributions Along The Missouri River In Response To Flooding, Zachary Schild
Analyzing Changes In Russian Olive Distributions Along The Missouri River In Response To Flooding, Zachary Schild
Dissertations and Theses
Russian olive (Elaeagnus angustifolia; RO) is an invasive, nitrogen-fixing tree that has spread across riparian ecosystems in the western United States, potentially hindering native tree recruitment, reducing species richness, and impacting wildlife. RO has established within the Missouri National Recreational River (MNRR) in part due to modified flow regimes following dam construction. This study aimed to map the spread of RO using high-resolution National Agriculture Imagery Program (NAIP) imagery (2010, 2012, 2018, 2022) and evaluate the effects of the 2011 and 2019 floods on RO distributions in the Missouri National Recreational River (MNRR). RO cover in this area has expanded …
Beyond The Square Pulse: Waveform Shape, Eeg Correlates, And The Pursuit Of Natural Sensation In Tens, Jason Whitson
Beyond The Square Pulse: Waveform Shape, Eeg Correlates, And The Pursuit Of Natural Sensation In Tens, Jason Whitson
Honors Undergraduate Theses
This study investigates the relationship between electrical stimulus characteristics of shape and charge on evoked sensations and electroencephalogram (EEG) data during multi-waveform transcutaneous electrical nerve stimulation (TENS) of the median nerve. Neuromodulation methods have traditionally had little control over the location and quality of their associated evoked sensation (e.g., electric, vibration, touch). This experiment utilized five unique stimulus waveforms during TENS stimulation. EEG data were collected concurrently to provide an introductory objective measure of the neural responses underlying these sensory changes. Eleven participants completed three tasks (thresholding, super-threshold stimulation, two-alternative forced choice) using a two-electrode TENS approach. Stimulus waveforms were …
Synthesis And Characterization Of Succinate Dehydrogenase Inhibitors H2/Z14 And C6/Z96 In Order To Combat Small Cell Lung Cancer, Lauren M. Graves
Synthesis And Characterization Of Succinate Dehydrogenase Inhibitors H2/Z14 And C6/Z96 In Order To Combat Small Cell Lung Cancer, Lauren M. Graves
Honors Undergraduate Theses
The use of ubiquinone inhibitors to combat cancer is a recent development in medicinal science and procedures to efficiently synthesize these drugs remain limited. C6/Z96 and H2/Z14, two succinate dehydrogenase inhibitors, have been previously tested in vitro against NSCLC with positive results. Their similarity to ubiquinone is what makes them a strong candidate for a succinate dehydrogenase inhibitor at the ubiquinone binding site. The heterocyclic scaffolds and substituents are proposed to bind strongly through a combination of electronics, hydrogen-bonding, and fit, allowing them to bind well and prove to be more favorable than ubiquinone when competing for the Q-site. By …
Establishment Of An In Vitro Dss-Induced Epithelial Injury Model To Investigate Il-6 Signaling And Microbial Metabolite Mediated Barrier Recovery, Srijal Kunwar
Graduate Studies Theses and Dissertations 2026
Dextran sodium sulphate (DSS) is widely used in vivo to induce epithelial injury; however, the molecular effects of DSS on intestinal epithelial cells, that investigate inflammatory and metabolic repair mechanisms remain unclear. Here, we establish an in vitro DSS-induced epithelial damage model using differentiated Caco-2 cell monolayer. Exposure to 2.5%(w/v) DSS for 24 hours resulted in significant upregulation of pore forming protein Claudin-2(2.677-fold) and oxidative marker, NOX-1(1.866-fold), accompanied by increased ROS production confirmed via DHE staining. Increased epithelial permeability was observed by TEER analysis, without significant cytotoxicity. Surprisingly, ELISA analysis revealed significant downregulation of IL-6 (p-value …
Advances In Active And Passive Integrated Photonic Devices On Thin-Film Lithium Niobate, Pooja S. Kulkarni
Advances In Active And Passive Integrated Photonic Devices On Thin-Film Lithium Niobate, Pooja S. Kulkarni
Graduate Studies Theses and Dissertations 2026
Thin-film lithium niobate (TFLN) has emerged as a powerful platform for integrated photonics, combining the exceptional electro-optic, nonlinear, and optical properties of bulk lithium niobate with the scalability and compactness of planar nanophotonic technologies. Building on these principles, advanced device architectures such as adiabatic dichroic filters have demonstrated exceptional spectral performance spanning over two octaves of bandwidth on the TFLN platform. Beyond reciprocal devices, it also offers promising pathways toward integrated nonreciprocal components. By leveraging broadband filtering structures and advanced nonlinear photonic design strategies, compact and monolithic optical isolators can be envisioned without relying on traditional magneto-optic materials. In the …
A Mathematical Frameworks For Singular, Nonlinear Phenomena: Applications To Nematocyst Firing And Inhomogeneous Nls With Coulomb Potential, Abdulrahman Alharbi
A Mathematical Frameworks For Singular, Nonlinear Phenomena: Applications To Nematocyst Firing And Inhomogeneous Nls With Coulomb Potential, Abdulrahman Alharbi
Theses and Dissertations
Nematocysts are specialized cellular organelles found in all cnidarians, including corals and jellyfish, as well as in some single-celled protists such as dinoflagellates. These organelles display remarkable diversity in morphology and function, playing roles in prey capture and defense. The firing of a nematocyst is one of the fastest accelerations in nature, yet the underlying physical mechanisms remain not fully understood. In this work, we address key questions: how sufficient force is generated to overcome the fluid boundary layer, whether fluid–structure interaction models can reproduce observed dynamics, and what mechanisms trigger discharge.
Our research investigates models based on osmotic pressure …
Climate, Biogeography, And Dispersal: A Unifying Framework For Ameri-Caribbean Dry Forests, Pablo Lopez Bustamante
Climate, Biogeography, And Dispersal: A Unifying Framework For Ameri-Caribbean Dry Forests, Pablo Lopez Bustamante
Theses and Dissertations
Seed dispersal is a crucial ecological function that enables plants to alter their distributional range, avoid intense competition and natural enemies near the parent plant, and recover from disturbances. These processes shape species and functional composition of forests. Wind has traditionally been considered the dominant dispersal mechanism in Ameri-Caribbean dry forests, yet growing evidence suggests that other dispersal mechanisms also play significant roles in this ecosystem, responding differently to biotic and abiotic conditions. Still, how dispersal syndrome composition influences plant communities, the ecological drivers underlying these patterns, and the effects of climate change on dispersal syndrome dominance remain poorly understood. …
Sex In Plants: Birth, Death, And Trying To Survive In Changing Climates, Elena M. Meyer
Sex In Plants: Birth, Death, And Trying To Survive In Changing Climates, Elena M. Meyer
Theses and Dissertations
Plant mating systems are key determinants of fitness. Angiosperms exhibit a wide variety of reproductive strategies, including self-fertilization (or selfing), outcrossing, and mixed mating. It has been estimated that up to 43% of plant species are capable of selfing, and selfing has been hypothesized to provide reproductive assurance where opportunities for mating may be limited, such as in marginal environments. However, questions regarding the overall distribution of selfing rates across angiosperms, the maintenance of mixed mating in the face of inbreeding depression, and the impact of self-fertilization on diversification rates remain incompletely resolved. Here, we explore the dynamics of self-fertilization …
Nutritional Niche Separation Amongst Sympatric Threatened Lemurs: The Role Of Micronutrients In Food Selection And Implications For Physiological Health, Maire K. O'Malley
Nutritional Niche Separation Amongst Sympatric Threatened Lemurs: The Role Of Micronutrients In Food Selection And Implications For Physiological Health, Maire K. O'Malley
Graduate Research Theses & Dissertations
Madagascar’s biodiversity is heavily affected by anthropogenic change and consequently, conservation management plans need to reflect current research to protect biodiversity. Primate nutritional ecology offers valuable insights into ecology, evolution, health, habitat requirements, social behavior, and conservation management strategies. Macronutrients (fat, carbohydrates, and protein) provide consumers with energy whereas micronutrients (vitamins and minerals) are essential to metabolic processes but are frequently overlooked. This study provides a novel examination of dietary niche separation by comparing mineral consumption between three sympatric species differing in feeding strategies: 1) Grey Bamboo lemur (Hapalemur griseus), a bamboo specialist, 2) Diadema sifaka (Propithecus diadema), a folivore, …
Feasibility Of Corn Stover For Biogas Production In Northwestern Illinois: A Case Study Of Jo Daviess And Carroll Counties, Anthony Amotoe-Bondzie
Feasibility Of Corn Stover For Biogas Production In Northwestern Illinois: A Case Study Of Jo Daviess And Carroll Counties, Anthony Amotoe-Bondzie
Masters Theses
The growing demand for renewable energy and sustainable waste management has intensified interest in agricultural residues such as bioenergy feedstocks. This study evaluated the feasibility of converting corn stover into biogas through anaerobic digestion (AD) in Jo Daviess and Carroll Counties, Illinois, with consideration of the Savanna Industrial Park as a potential centralized processing hub. Although corn stover represents one of the largest biomass resources in the United States, this research identifies a critical gap between theoretical availability and practically recoverable feedstock. Using a mixed-methods framework, the study integrates biomass quantification, methane yield modeling, economic analysis, and policy assessment. Results …
Epigenetic Modifications In Dedifferentiated Liver Cells To Restore Lost Liver Function, Shreya Sharma
Epigenetic Modifications In Dedifferentiated Liver Cells To Restore Lost Liver Function, Shreya Sharma
Masters Theses
The goal of the study is to investigate whether the epigenetic modifications can enhance the restoration of liver gene expression in dedifferentiated hepatoma cells or not. For the study, we used dedifferentiated H11 hepatoma cell lines which overexpress one of a panel of introduced candidate liver-enriched transcription factors H11-HNF1a, H11-CREB3L3, H11-CREG1, H11- HHEX, H11-HNF6, and H11-IGFBP1. The cells were treated with the DNA methyltransferase inhibitor 5-azacytidine and the histone deacetylase inhibitor sodium butyrate, both individually and in combination. Gene expression analysis was determined by RT-qPCR, which revealed that while transcription factor overexpression alone produced limited activation, epigenetic modulation, particularly Histone …
An Exploratory Analysis Of The Role Of Sex In Load Carriage, Rachel E. Perez, Dustin R. Slivka, Brent C. Ruby
An Exploratory Analysis Of The Role Of Sex In Load Carriage, Rachel E. Perez, Dustin R. Slivka, Brent C. Ruby
Graduate Student Theses, Dissertations, & Professional Papers
Axially loaded weight may impose a metabolic demand equivalent to that of fat mass (FM) during load carriage. Males (M) typically have a lower body fat percentage than females (F), resulting in metabolic demand differences during load carriage that may be mitigated by accounting for FM in pack loads. PURPOSE: To determine whether normalizing pack load to FM equalizes metabolic cost across sexes during load carriage. METHODS: Twenty-eight participants (14M, 23 ± 5 y, 1.81 ± 0.07 m, 78.7 ± 10.0 kg, 12.7 ± 5.4% body fat, VO2peak 4.18 ± 0.54 L·min-1; 14F, 22 ± 4 …
A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy
A Complete Diploid Human Genome Benchmark For Personalized Genomics, Nancy F. Hansen, Nathan Dwarshuis, Hyun Joo Ji, Arang Rhie, Hailey Loucks, Glennis A. Logsdon, Mitchell R. Vallger, Jessica M. Storer, Juhyun Kim, Eleni Adam, Nicolas Alternose, Dmitry Antipov, Mobin Asri, Sofia Barreira, Stephanie C. Bohaczuk, Andrey V. Bzikadze, Sara A. Carioscia, Andrew Carroll, Kuan-Hao Chao, Yanan Chu, Arun Das, Peter Ebert, Adam English, Mark Fleharty, Laura E. Fleming, Giulio Formenti, Andrea Guarracino, Gabrielle A. Hartley, Katharine Jenike, Jenna Kalleberg, Yu Kang, Robert King, Josipa Lipovac, Mira Mastoras, Matthew W. Mitchell, Shloka Negi, Nathan D. Olson, Keisuke K. Oshima, Luis F. Paulin, Brandon D. Pickett, David Porubsky, Jane Ranchalis, Desh Ranjan, Mikko Rautiainen, Harold Riethman, Robert D. Schnabel, Fritz J. Sedlazeck, Kishwar Shafin, Mile Sikic, Steven J. Solar, Alexander P. Sweeten, Winston Timp, Justin Wagner, Dongahn Yoo, Ying Zhou, Erik Garrison, Evan E. Eichler, Michaeel C. Schatz, Andrew B. Stergachis, Rachel J. O'Neill, Karen H. Miga, Steven L. Salzberg, Sergey Koren, Justin M. Zook, Adam M. Phillippy
School of Medical Diagnostics & Translational Sciences Publications
Human genome sequencing typically relies on mapping reads to a reference genome to call variants, but this approach introduces technical biases, excluding duplicated and structurally polymorphic regions of the genome. To overcome this, we present a telomere-to-telomere genome benchmark with near-perfect accuracy across 99.4% of the diploid HG002 genome. This benchmark adds 701.4 Mb of autosomal sequence and both sex chromosomes (216.8 Mb), which were absent from prior benchmarks. We annotated genes and repeats on both haplotypes, including 19,956 protein-coding genes on the maternal haplotype and 19,190 on the paternal haplotype, and developed new methods to measure the accuracy of …
Evaluating Multi-Year Transferability Of Single- And Multi-Class Machine Learning For Remote Monitoring Of Beaver-Engineered Landscapes, Harris J. Sloan
Evaluating Multi-Year Transferability Of Single- And Multi-Class Machine Learning For Remote Monitoring Of Beaver-Engineered Landscapes, Harris J. Sloan
Graduate Student Theses, Dissertations, & Professional Papers
Long-term satellite image archives enable ecological monitoring at large scales, but manual extraction of fine-grained features (e.g., beaver dams) remains time-consuming. Machine learning models may automate these tasks, but their temporal transferability for multiannual monitoring is still poorly resolved.
We evaluated the performance of two complementary neural-network frameworks across a 100,000-hectare watershed in Montana USA, using a decade of satellite imagery (2014-2024): (i) a single-class ResNet-50 beaver dam detector, and (ii) a multi-class ResU-Net landcover classifier.
In 2024, the dam detector identified 352 of 404 mapped dams, achieving balanced accuracy = 93.6%, precision = 79.8%, recall = 87.1%, F1 = …
A Novel 3d Imaging Approach To Study Evolutionary Innovations In Solanaceae Inflorescences, Devin L. Jackson, Joonseog Kim, Wenheng Zhang Dr.
A Novel 3d Imaging Approach To Study Evolutionary Innovations In Solanaceae Inflorescences, Devin L. Jackson, Joonseog Kim, Wenheng Zhang Dr.
UROP Posters
Understanding the relatedness of angiosperms and the evolution of their inflorescence remains challenging, as these structures are highly modified and prone to convergent evolution. The current research describing inflorescence architecture, whether genetically or morphologically focused, typically relies on text based explanations, 2D images, or 3D based models created with CAD modeling software. This creates a disparity in the reader's understanding of these models since descriptions rely heavily on the author's interpretation of the inflorescence. The goal of our study is to bridge this disconnection by producing anatomically and color-correct 3D inflorescence models using Solanaceae flowers that readers can explore directly, …
Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine
Reduced Threat-Related Neural Efficiency: A Possible Biomarker For Pediatric Anxiety Disorders, Julia O. Linke, Reut Naim, Simona P. Haller, Parmis Khosravi, Beck Scheinberg, Meghan E. Byrne, Anita Harrewijn, Ellen Leibenluft, Melissa A. Brotman, Anderson M. Winkler, Daniel Samuel Pine
School of Medicine Publications
Objective: Pediatric anxiety disorders are common and predict adult psychopathology, yet current treatments, such as cognitive-behavioral therapy (CBT), produce lasting remission in less than 50% of affected youths. To support the search for improved, mechanistically grounded interventions, this study evaluated neural efficiency, defined as similarity in functional connectivity between a threat task and rest, as a potential biomarker. The study evaluated neural efficiency in relation to anxiety diagnosis and treatment response.
Methods: The authors compared 103 youths with an anxiety disorder diagnosis (mean age, 12.5 years [SD=2.91], 62% female) to 103 youths with no psychiatric diagnosis (mean age, 13.4 years …
A Sensory Ecology Of Fear: Moonlight-Mediated Predation Risk And Foraging Behavior In Neotropical Electric Fish, Chiu Lok Poon
A Sensory Ecology Of Fear: Moonlight-Mediated Predation Risk And Foraging Behavior In Neotropical Electric Fish, Chiu Lok Poon
Graduate Studies Theses and Dissertations 2026
Animals must forage to acquire energy for survival and reproduction, yet foraging exposes them to predators. This creates a trade-off between energy intake and safety, wherein the perception of predation risk alone can alter activity patterns. Within this trade-off, risk, energetic needs, and sensory adaptations vary, shifting the balance and favoring different foraging strategies. Using Neotropical electric fish as a study system, I investigated how foraging under predation risk is shaped across biological scales, including environmental dynamics, interspecific sensory differences, activity-timing mechanisms, and intraspecific variations. These nocturnal fish emit continuous electric signals to sense their environment, allowing non-invasive monitoring of …
Growing South Dakota (Winter 2026), College Of Agriculture, Food And Environmental Sciences
Growing South Dakota (Winter 2026), College Of Agriculture, Food And Environmental Sciences
Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)
[Page] 2 International Year of Rangelands and Pastoralists: South Dakota rangelands take center stage
[Page] 4 The professor and the soil
[Page] 8 Range ready: Helping students bridge the gap between conservation and agriculture
[Page] 9 Resilient rangelands: Native Plant Initiative’s role in reviving South Dakota’s prairies
[Page] 10 Jackrabbits lead the charge in bison research and education
[Page] 12 Agricultural and biosystems engineering celebrates century of education
[Page] 16 SDSU Quarter Scale Tractor Club: An impact beyond awards
[Page] 18 Building a legacy of opportunity: Karen D. Stuck Endowment strengthens agricultural communication program at South Dakota State University
[Page] …
Effect Of Substrate Dispersion Method And Particle Size On In Vitro Digestibility, Gas Production Kinetics And Composition, And Fermentation Characteristics In Different Feed Types, Luiz C. O. Sousa, Ellem M. A. Matos, Ronald J. Trotta, Edenio Detmann, David L. Harmon
Effect Of Substrate Dispersion Method And Particle Size On In Vitro Digestibility, Gas Production Kinetics And Composition, And Fermentation Characteristics In Different Feed Types, Luiz C. O. Sousa, Ellem M. A. Matos, Ronald J. Trotta, Edenio Detmann, David L. Harmon
Animal and Food Sciences Faculty Publications
Our objective was to evaluate the influence of substrate dispersion method and particle size on in vitro digestibility, gas production kinetics and composition, and fermentation characteristics of different feed types. Alfalfa hay, tall fescue hay, ground corn, soybean meal, and a total mixed ration (TMR) were used as substrates. Treatments were designed according to a 2 × 2 × 5 factorial arrangement: two substrate dispersion methods (loose substrate and in filter bags), two particle sizes (1 mm and 2 mm), and five feeds. Filter bags decreased (P ≤ 0.001) digestibility and gas production compared with loose samples. Filter bags decreased …