Entire DC Network | Open Access Articles | Digital Commons Network™

A Jump-Diffusion Process For Asset Price With Non-Independent Jumps, Yihren Wu, Majnu John

Journal of Stochastic Analysis

No abstract provided.

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Quantization Of The Monotone Poisson Central Limit Theorem, Yungang Lu

Journal of Stochastic Analysis

No abstract provided.

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Brief Communication: The Hidden Labyrinth: Deep Groundwater In Wright Valley, Antarctica, Hilary A. Dugan, Peter T. Doran, Denys Grombacher, Esben Auken, Thue Bording, Nikolaj Foged, Neil Foley, Jill Mikucki, Ross A. Virginia, Slawek Tulaczyk

Faculty Publications

Since the 1960s, a deep groundwater system in Wright Valley, Antarctica, has been the hypothesized source of brines to hypersaline Don Juan Pond and Lake Vanda, both of which are rich in calcium and chloride. Modeling studies do not support other possible mechanisms, such as evaporative processes, that could have led to the current suite of ions present in both waterbodies. In 2011 and 2018, an airborne electromagnetic survey was flown over Wright Valley to map subsurface resistivity (down to 600 m) in exploration of liquid water. The surveys revealed widespread unfrozen brine in the subsurface near Lake Vanda, Don …

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Few-Shot Specific Emitter Identification Via Deep Metric Ensemble Learning, Yu Wang, Guan Gui, Yun Lin, Hsiao Chun Wu, Chau Yuen, Fumiyuki Adachi

Faculty Publications

Specific emitter identification (SEI) is a highly potential technology for physical-layer authentication that is one of the most critical supplements for the upper-layer authentication. SEI is based on radio frequency (RF) features from circuit difference, rather than cryptography. These features are inherent characteristics of hardware circuits, which are difficult to counterfeit. Recently, various deep learning (DL)-based conventional SEI methods have been proposed, and achieved advanced performances. However, these methods are proposed for close-set scenarios with massive RF signal samples for training, and they generally have poor performance under the condition of limited training samples. Thus, we focus on few-shot SEI …

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Editors' Introduction, Sophia Ziegler, Leah Powell Duncan

Journal of Critical Digital Librarianship

Introduction to Journal of Critical Digital Librarian, Vol.2 Issue 1

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Leveraging Critical Information Literacy To Develop Social Justice-Minded Data Literacy Competencies, Ben B. Chiewphasa, Matthew L. Sisk

Journal of Critical Digital Librarianship

Librarians who interact with data in different contexts can come together in a community of practice – leveraging each other's perspectives to collectively engage with critical librarianship and reimagine social justice-related learning outcomes for information and data literacy programming. Specifically, this paper explores the overlapping goals of different critical literacies (such as critical information literacy and QuantCrit), showcasing that synergies exist between social justice-oriented librarians with distinctive roles and responsibilities. By leveraging a community of practice as a vehicle for continuing education in inclusive pedagogy, librarians can empower their patrons, students, and colleagues to challenge and act upon surrounding data …

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Toward Ethical And Inclusive Descriptive Practices, Shira Peltzman, Kelly Besser

Journal of Critical Digital Librarianship

This case study describes the context which galvanized our Collection Management unit at UCLA Library Special Collections to collectively craft a descriptive practices statement within a study group focused on an anti-oppressive approach to discovery and access. This paper discusses the planning and design of the study group, our direct engagement at meetings, collaborative iteration, and liberatory pedagogical strategies that enabled the statement’s publication, and its impact within our department, library, and beyond. This work speaks to radical descriptive change and provides a potential path for the development of ethical and inclusive descriptive practices at other institutions.

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Applications Of A Superposed Ornstein-Uhlenbeck Type Processes, Santatriniaina Avotra Randrianambinina, Julius Esunge

Journal of Stochastic Analysis

No abstract provided.

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On The Diagonalizability And Factorizability Of Quadratic Boson Fields, Luigi Accardi, Andreas Boukas, Yungang Lu, Alexander Teretenkov

Journal of Stochastic Analysis

No abstract provided.

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A Predictive Model Using The Mesoscopic Architecture Of The Living Brain To Detect Alzheimer’S Disease, Marianna Inglese, Neva Patel, Kristofer Linton-Reid, Flavia Loreto, Zarni Win, Richard J. Perry, Christopher Carswell, Matthew Grech-Sollars, William R. Crum, Haonan Lu, Paresh A. Malhotra, Lisa C. Silbert, Betty Lind, Rachel Crissey, Jeffrey A. Kaye, Raina Carter, Sara Dolen, Joseph Quinn, Lon S. Schneider, Sonia Pawluczyk, Mauricio Becerra, Liberty Teodoro, Karen Dagerman, Bryan M. Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Jaimie Ziolkowski, Judith L. Heidebrink, Zbizek-Nulph, Joanne L. Lord, Lisa Zbizek-Nulph, Ronald Petersen, Sara S. Mason

Clinical Research Faculty Publications

Background: Alzheimer’s disease, the most common cause of dementia, causes a progressive and irreversible deterioration of cognition that can sometimes be difficult to diagnose, leading to suboptimal patient care. Methods: We developed a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted MRI scans, with or without cognitive scores. For each patient, a biomarker called “Alzheimer’s Predictive Vector” (ApV) was derived using a two-stage least absolute shrinkage and selection operator (LASSO). Results: The ApV reliably discriminates between people with (ADrp) and without (nADrp) Alzheimer’s related pathologies (98% and 81% accuracy between ADrp - including the early form, mild …

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The Polygenic Risk Score Knowledge Base Offers A Centralized Online Repository For Calculating And Contextualizing Polygenic Risk Scores, Madeline L. Page, Elizabeth L. Vance, Matthew E. Cloward, Ed Ringger, Louisa Dayton, Mark T.W. Ebbert, L. Ravdin, M. Lin, A. Lee, G. Chiang, N. Relkin, R. B. Santulli, M. L. Hynes, M. Seltzer, L. A. Flashman, K. Anderson, K. Blank, G. D. Perlson, S. Kittur, S. Correia, P. Malloy, S. Salloway, S. Potkin, P. Newhouse, M. Sabbagh, A. Garcia, J. Shi, J. Masdeu, A. Williams, J. Mintzer, A. O’Connell, A. Mintz, D. Munic, C. Bernick

Clinical Research Faculty Publications

The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currently containing over 250,000 genetic variant associations from the NHGRI-EBI GWAS Catalog for users to easily calculate sample-specific polygenic risk scores with comparable results to other available tools. Polygenic risk scores are calculated either online through the Polygenic Risk Score Knowledge Base (PRSKB; https://prs.byu.edu) or via a command-line interface. We report study-specific polygenic risk scores across the UK Biobank, 1000 Genomes, and the Alzheimer’s Disease …

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Total Energy Expenditure Is Repeatable In Adults But Not Associated With Short-Term Changes In Body Composition, Rebecca Rimbach, Yosuke Yamada, Hiroyuki Sagayama, Philip N. Ainslie, Lene F. Anderson, Liam J. Anderson, Lenore Arab, Issaad Baddou, Kweku Bedu-Addo, Ellen E. Blaak, Stephane Blanc, Alberto G. Bonomi, Carlijn V.C. Bouten, Pascal Bovet, Maciej S. Buchowski, Nancy F. Butte, Stefan G.J.A. Camps, Graeme L. Close, Jamie A. Cooper, Sai Krupa Das, Lara R. Dugas, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W. Fudge, Annelies H. Goris, Michael Gurven, Catherine Hambly, Asmaa El Hamdouchi, Marije B. Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M. Joosen, Peter Katzmarzyk

Clinical Research Faculty Publications

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but …

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A Study Of The Effect Of Sympathetic Framing On Attitudes Toward The Homeless, Marshall Mills

Honors Capstones

No abstract provided.

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Examining The Symbioses Between Bioluminescent Vibrio Species And Ponyfishes In The Indian Ocean And Between Vibrio Species And Crassostrea Virginica In The Gulf Of Mexico, Alexandra Chauvin

Honors Capstones

No abstract provided.

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Leadership Development And Training In Community-Based Organizations In Myanmar, Anna Rockett

Honors Capstones

No abstract provided.

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Fgf21 Is Required For Protein Restriction To Extend Lifespan And Improve Metabolic Health In Male Mice, Cristal M. Hill, Diana C. Albarado, Lucia G. Coco, Redin A. Spann, Md Shahjalal Khan, Emily Qualls-Creekmore, David H. Burk, Susan J. Burke, J. Jason Collier, Sangho Yu, David H. Mcdougal, Hans Rudolf Berthoud, Heike Münzberg, Andrzej Bartke, Christopher D. Morrison

Division of Basic Science Faculty Publications

Dietary protein restriction is increasingly recognized as a unique approach to improve metabolic health, and there is increasing interest in the mechanisms underlying this beneficial effect. Recent work indicates that the hormone FGF21 mediates the metabolic effects of protein restriction in young mice. Here we demonstrate that protein restriction increases lifespan, reduces frailty, lowers body weight and adiposity, improves physical performance, improves glucose tolerance, and alters various metabolic markers within the serum, liver, and adipose tissue of wildtype male mice. Conversely, mice lacking FGF21 fail to exhibit metabolic responses to protein restriction in early life, and in later life exhibit …

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Satisfaction Of Patients With Diabetic Kidney Disease With Traditional Chinese Medicine Physician Visits, Wanling Zeng, Hong Chang Tan, Huang Fang Zheng, Amanda Rui Lin Lam, Kok Keong Teo, Chieh Suai Tan, Jean Paul Kovalik, Sujoy Ghosh, Xiao Hui Xin

Division of Basic Science Faculty Publications

Background: Patient-centred care is an important part of quality healthcare and patient satisfaction has been shown to be associated with improved clinical outcomes. We aim to explore the satisfaction of patients with diabetic kidney disease (DKD) with their visits to the TCM physician and its association with patients' socio-economic characteristics. Methods: A questionnaire survey was conducted among patients aged >21 years with DKD. Participants' demographic, socioeconomic characteristics and satisfaction scores measured with the self-administered Medical Interview Satisfaction Scale (MISS) were collected after they visited the TCM physician. MISS is a 26-item questionnaire consisting of three domains – cognitive, affective and …

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Leaf Habit Affects The Distribution Of Drought Sensitivity But Not Water Transport Efficiency In The Tropics, German Vargas G., Norbert Kunert, William M. Hammond, Z. Carter Berry, Leland K. Werden, Chris M. Smith-Martin, Brett T. Wolfe, Laura Toro, Ariadna Mondragón-Botero, Jesús N. Pinto-Ledezma, Naomi B. Schwartz, María Uriarte, Lawren Sack, Kristina J. Anderson-Teixeira, Jennifer S. Powers

Faculty Publications

Considering the global intensification of aridity in tropical biomes due to climate change, we need to understand what shapes the distribution of drought sensitivity in tropical plants. We conducted a pantropical data synthesis representing 1117 species to test whether xylem-specific hydraulic conductivity (KS), water potential at leaf turgor loss (ΨTLP) and water potential at 50% loss of KS (ΨP50) varied along climate gradients. The ΨTLP and ΨP50 increased with climatic moisture only for evergreen species, but KS did not. Species with high ΨTLP and ΨP50 values were associated with both dry and wet environments. However, drought-deciduous species showed high ΨTLP …

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Interindividual Differences In Trainability And Moderators Of Cardiorespiratory Fitness, Waist Circumference, And Body Mass Responses: A Large-Scale Individual Participant Data Meta-Analysis, Jacob T. Bonafiglia, Paul A. Swinton, Robert Ross, Neil M. Johannsen, Corby K. Martin, Timothy S. Church, Cris A. Slentz, Leanna M. Ross, William E. Kraus, Jeremy J. Walsh, Glen P. Kenny, Gary S. Goldfield, Denis Prud’Homme, Ronald J. Sigal, Conrad P. Earnest, Brendon J. Gurd

Clinical Research Faculty Publications

Although many studies have assumed variability reflects variance caused by exercise training, few studies have examined whether interindividual differences in trainability are present following exercise training. The present individual participant data (IPD) meta-analysis sought to: (1) investigate the presence of interindividual differences in trainability for cardiorespiratory fitness (CRF), waist circumference, and body mass; and (2) examine the influence of exercise training and potential moderators on the probability that an individual will experience clinically important differences. The IPD meta-analysis combined data from 1879 participants from eight previously published randomized controlled trials. We implemented a Bayesian framework to: (1) test the hypothesis …

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Social Inequalities In Climate Change-Attributed Impacts Of Hurricane Harvey, Kevin T. Smiley, Ilan Noy, Michael F. Wehner, Dave Frame, Christopher C. Sampson, Oliver E.J. Wing

Faculty Publications

Climate change is already increasing the severity of extreme weather events such as with rainfall during hurricanes. But little research to date investigates if, and to what extent, there are social inequalities in climate change-attributed extreme weather event impacts. Here, we use climate change attribution science paired with hydrological flood models to estimate climate change-attributed flood depths and damages during Hurricane Harvey in Harris County, Texas. Using detailed land-parcel and census tract socio-economic data, we then describe the socio-spatial characteristics associated with these climate change-induced impacts. We show that 30 to 50% of the flooded properties would not have flooded …

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Study In Parkinson’S Disease Of Exercise Phase 3 (Sparx3): Study Protocol For A Randomized Controlled Trial, Charity G. Patterson, Elizabeth Joslin, Alexandra B. Gil, Wendy Spigle, Todd Nemet, Lana Chahine, Cory L. Christiansen, Ed Melanson, Wendy M. Kohrt, Martina Mancini, Deborah Josbeno, Katherine Balfany, Garett Griffith, Mac Kenzie Dunlap, Guillaume Lamotte, Erin Suttman, Danielle Larson, Chantale Branson, Kathleen E. Mckee, Li Goelz, Cynthia Poon, Barbara Tilley, Un Jung Kang, Malú Gámez Tansey, Nijee Luthra, Caroline M. Tanner, Jacob M. Haus, Giamila Fantuzzi, Nikolaus R. Mcfarland, Paulina Gonzalez-Latapi, Tatiana Foroud, Robert Motl, Michael A. Schwarzschild, Tanya Simuni

Clinical Research Faculty Publications

Background: To date, no medication has slowed the progression of Parkinson’s disease (PD). Preclinical, epidemiological, and experimental data on humans all support many benefits of endurance exercise among persons with PD. The key question is whether there is a definitive additional benefit of exercising at high intensity, in terms of slowing disease progression, beyond the well-documented benefit of endurance training on a treadmill for fitness, gait, and functional mobility. This study will determine the efficacy of high-intensity endurance exercise as first-line therapy for persons diagnosed with PD within 3 years, and untreated with symptomatic therapy at baseline. Methods: This is …

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The 2018 World Cancer Research Fund (Wcrf)/American Institute For Cancer Research (Aicr) Score And Diabetes Risk In The Diabetes Prevention Program Outcomes Study (Dppos), Marissa M. Shams-White, Ashley H. Tjaden, Sharon L. Edelstein, Sarah Bassiouni, Lisa L. Kahle, Catherine Kim, Xavier Pi-Sunyer, Karla A. Temple, Elizabeth M. Venditti, Jill Reedy, Brandy M. Heckman-Stoddard, George A. Bray, Kishore M. Gadde, Iris W. Culbert, Jennifer Arceneaux, Annie Chatellier, Amber Dragg, Catherine M. Champagne, Crystal Duncan, Barbara Eberhardt, Frank Greenway, Fonda G. Guillory, April A. Herbert, Michael L. Jeffirs, Betty M. Kennedy, Erma Levy, Monica Lockett, Jennifer C. Lovejoy, Laura H. Morris, Lee E. Melancon, Donna H. Ryan, Deborah A. Sanford, Kenneth G. Smith, Lisa L. Smith

Population and Public Health Science Faculty Publications

Background: The 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) 3rd expert report highlights up-to-date Cancer Prevention Recommendations that may reduce burdens of many chronic diseases, including diabetes. This study examined if following a lifestyle that aligns with the recommendations – assessed via the 2018 WCRF/AICR Score – was associated with lower risk of type 2 diabetes in high-risk adults participating in the Diabetes Prevention Program Outcomes Study (DPPOS). Methods: The Diabetes Prevention Program (DPP) randomized adults at high risk for diabetes to receive a lifestyle intervention (ILS), metformin (MET) or a placebo (PLB) (mean: 3.2 years), with …

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A Collaborative Approach To Adopting/Adapting Guidelines. The Australian 24-Hour Movement Guidelines For Children (5-12 Years) And Young People (13-17 Years): An Integration Of Physical Activity, Sedentary Behaviour, And Sleep, Anthony D. Okely, Davina Ghersi, Sarah P. Loughran, Dylan P. Cliff, Trevor Shilton, Rachel A. Jones, Rebecca M. Stanley, Julie Sherring, Natalie Toms, Simon Eckermann, Timothy S. Olds, Zhiguang Zhang, Anne Maree Parrish, Lisa Kervin, Sandra Downie, Jo Salmon, Clair Bannerman, Tamie Needham, Elaine Marshall, Jordy Kaufman, Layne Brown, Janecke Wille, Greg Wood, David R. Lubans, Stuart J.H. Biddle, Shane Pill, Anthea Hargreaves, Natalie Jonas, Natasha Schranz, Perry Campbell, Karen Ingram, Hayley Dean, Adam Verrender, Yvonne Ellis

Population and Public Health Science Faculty Publications

Abstract: Background: In 2018, the Australian Government updated the Australian Physical Activity and Sedentary Behaviour Guidelines for Children and Young People. A requirement of this update was the incorporation of a 24-hour approach to movement, recognising the importance of adequate sleep. The purpose of this paper was to describe how the updated Australian 24-Hour Movement Guidelines for Children and Young People (5 to 17 years): an integration of physical activity, sedentary behaviour and sleep were developed and the outcomes from this process. Methods: The GRADE-ADOLOPMENT approach was used to develop the guidelines. A Leadership Group was formed, who identified existing …

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Blocking Actriib And Restoring Appetite Reverses Cachexia And Improves Survival In Mice With Lung Cancer, Andre Lima Queiroz, Ezequiel Dantas, Shakti Ramsamooj, Anirudh Murthy, Mujmmail Ahmed, Elizabeth R.M. Zunica, Roger J. Liang, Jessica Murphy, Corey D. Holman, Curtis J. Bare, Gregory Ghahramani, Zhidan Wu, David E. Cohen, John P. Kirwan, Lewis C. Cantley, Christopher L. Axelrod, Marcus D. Goncalves

Division of Basic Science Faculty Publications

Cancer cachexia is a common, debilitating condition with limited therapeutic options. Using an established mouse model of lung cancer, we find that cachexia is characterized by reduced food intake, spontaneous activity, and energy expenditure accompanied by muscle metabolic dysfunction and atrophy. We identify Activin A as a purported driver of cachexia and treat with ActRIIB-Fc, a decoy ligand for TGF-β/activin family members, together with anamorelin (Ana), a ghrelin receptor agonist, to reverse muscle dysfunction and anorexia, respectively. Ana effectively increases food intake but only the combination of drugs increases lean mass, restores spontaneous activity, and improves overall survival. These beneficial …

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Beyond The Unknown: A Broad Framing For Preparedness For Emerging Infectious Threats, Rebecca C. Christofferson, Stephania A. Cormier

Division of Basic Science Faculty Publications

There have been multiple instances of novel pathogen emergence that have affected the health and security of the global community. To highlight that these novel pathogens presented a clear danger to public health, the WHO included “Disease X” on their list of priority pathogens in 2018. Indeed, since the emergence of SARS-CoV-2, Disease X has been pointed to as the looming threat of “the next big thing.” However, developing surveillance and preparedness plans with Disease X as the linchpin is too narrow and ignores a large swath of potential threats from already identified, often neglected diseases. We propose instead the …

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Multidisciplinary Collaboration To Develop A Digital Health Solution For Early Detection Of Cognitive Decline In Primary Care, Robin C. Hilsabeck, Jeffrey N. Keller, Maya L. Henry, Paul Toprac, Paul Rathouz, Varshinee Sreekanth, Avery Largent, Joshua Chang, Jessy Li, Lokesh Pugalenthi, Thomas Parsons, Heather E. Cuevas, Suzanne Schmitz

Clinical Research Faculty Publications

Background: Developing digital healthcare solutions that facilitate rapid identification and effective management of patients with Alzheimer disease and related disorders (ADRD) is an area of intense study. A critical juncture for these efforts involves the early detection of cognitive decline. Because primary care providers (PCPs) are the first line of medical care, they are often the first to hear concerns about cognitive decline. However, under-diagnosis of ADRD in primary care settings is widely recognized, as are the many barriers to routine cognitive screening. While information about brief cognitive screening tools for detecting ADRD is plentiful, PCPs remain uncertain about which …

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Dissociation Of Tau Pathology And Neuronal Hypometabolism Within The Atn Framework Of Alzheimer’S Disease, Michael Tran Duong, Sandhitsu R. Das, Xueying Lyu, Long Xie, Hayley Richardson, Sharon X. Xie, Paul A. Yushkevich, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Leslie M. Shaw, Enchi Liu, Tom Montine, Ronald G. Thomas, Michael Donohue, Sarah Walter, Devon Gessert, Tamie Sather, Gustavo Jimenez-Maggiora, Danielle Harvey, Matthew Bernstein, Nick Fox, Paul Thompson, Norbert Schuff, Charles Decarli, Bret Borowski

Clinical Research Faculty Publications

Alzheimer’s disease (AD) is defined by amyloid (A) and tau (T) pathologies, with T better correlated to neurodegeneration (N). However, T and N have complex regional relationships in part related to non-AD factors that influence N. With machine learning, we assessed heterogeneity in 18F-flortaucipir vs. 18F-fluorodeoxyglucose positron emission tomography as markers of T and neuronal hypometabolism (NM) in 289 symptomatic patients from the Alzheimer’s Disease Neuroimaging Initiative. We identified six T/NM clusters with differing limbic and cortical patterns. The canonical group was defined as the T/NM pattern with lowest regression residuals. Groups resilient to T had less hypometabolism than expected …

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Author Correction: Fam222a Encodes A Protein Which Accumulates In Plaques In Alzheimer’S Disease (Nature Communications, (2020), 11, 1, (411), 10.1038/S41467-019-13962-0), Tingxiang Yan, Jingjing Liang, Ju Gao, Luwen Wang, Hisashi Fujioka, Michael W. Weiner, Norbert Schuff, Howard J. Rosen, Bruce L. Miller, David Perry, Paul Aisen, Paul Aisen, Arthur W. Toga, Gustavo Jimenez, Michael Donohue, Devon Gessert, Kelly Harless, Jennifer Salazar, Yuliana Cabrera, Sarah Walter, Lindsey Hergesheimer, Karen Crawford, Scott Neu, Lon S. Schneider, Sonia Pawluczyk, Mauricio Becerra, Liberty Teodoro, Bryan M. Spann, Ronald Petersen, Clifford R. Jack, Matthew Bernstein, Bret Borowski, Jeff Gunter, Matt Senjem

Clinical Research Faculty Publications

In the original version of the manuscript, the image shown in Figure 4g, bottom row (Aβ1–42 + rAggregatin), under “6h” was incorrect. This image incorrectly showed the same sample as shown in the original Figure 4g, top row (Aβ1–42), under “0.5h”. The correct version of figure 4g is as follows: (Figure presented.) which replaces the previous incorrect version: (Figure presented.).

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Uterine Lumen Fluid Is Metabolically Semi-Autonomous, Constantine A. Simintiras, Jessica N. Drum, Hongyu Liu, M. Sofia Ortega, Thomas E. Spencer

Faculty Publications

Uterine lumen fluid (ULF) is central to successful pregnancy establishment and maintenance, and impacts offspring wellbeing into adulthood. The current dogma is that ULF composition is primarily governed by endometrial glandular epithelial cell secretions and influenced by progesterone. To investigate the hypothesis that ULF is metabolically semi-autonomous, ULF was obtained from cyclic heifers, and aliquots incubated for various durations prior to analysis by untargeted semi-quantitative metabolomic profiling. Metabolite flux was observed in these ULF isolates, supporting the idea that the biochemical makeup of ULF is semi-autonomously dynamic due to enzyme activities. Subsequent integrative analyses of these, and existing, data predict …

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Non-Destructive Quality Evaluation Of Tropical Fruit (Mango And Mangosteen) Purée Using Near-Infrared Spectroscopy Combined With Partial Least Squares Regression, Pimpen Pornchaloempong, Sneha Sharma, Thitima Phanomsophon, Kraisuwit Srisawat, Wasan Inta, Panmanas Sirisomboon, Witoon Prinyawiwatkul, Natrapee Nakawajana, Ravipat Lapcharoensuk, Sontisuk Teerachaichayut

Faculty Publications

Mango and mangosteen are commercially important tropical fruits with a short shelf life. Fruit processing is one of the alternatives to extend the shelf life of these fruits. Purée is one of the processed products of fresh fruit. In this research, the quality of mango and mangosteen purée was analyzed. Titratable acidity (TA) and total soluble solids (TSS) were predicted using non-destructive near-infrared (NIR) spectroscopy. A partial least squares regression (PLSR) model was developed based on the NIR spectra with a wavelength ranging from 800 to 2500 nm. The PLSR model returned a coefficient of determination (r2) and a ratio …

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Full-Text Articles in Entire DC Network

A Jump-Diffusion Process For Asset Price With Non-Independent Jumps, Yihren Wu, Majnu John

Journal of Stochastic Analysis

Quantization Of The Monotone Poisson Central Limit Theorem, Yungang Lu

Journal of Stochastic Analysis

Brief Communication: The Hidden Labyrinth: Deep Groundwater In Wright Valley, Antarctica, Hilary A. Dugan, Peter T. Doran, Denys Grombacher, Esben Auken, Thue Bording, Nikolaj Foged, Neil Foley, Jill Mikucki, Ross A. Virginia, Slawek Tulaczyk

Faculty Publications

Few-Shot Specific Emitter Identification Via Deep Metric Ensemble Learning, Yu Wang, Guan Gui, Yun Lin, Hsiao Chun Wu, Chau Yuen, Fumiyuki Adachi

Faculty Publications

Editors' Introduction, Sophia Ziegler, Leah Powell Duncan

Journal of Critical Digital Librarianship

Leveraging Critical Information Literacy To Develop Social Justice-Minded Data Literacy Competencies, Ben B. Chiewphasa, Matthew L. Sisk

Journal of Critical Digital Librarianship

Toward Ethical And Inclusive Descriptive Practices, Shira Peltzman, Kelly Besser

Journal of Critical Digital Librarianship

Applications Of A Superposed Ornstein-Uhlenbeck Type Processes, Santatriniaina Avotra Randrianambinina, Julius Esunge

Journal of Stochastic Analysis

On The Diagonalizability And Factorizability Of Quadratic Boson Fields, Luigi Accardi, Andreas Boukas, Yungang Lu, Alexander Teretenkov

Journal of Stochastic Analysis

Clinical Research Faculty Publications

Clinical Research Faculty Publications

Clinical Research Faculty Publications

A Study Of The Effect Of Sympathetic Framing On Attitudes Toward The Homeless, Marshall Mills

Honors Capstones

Examining The Symbioses Between Bioluminescent Vibrio Species And Ponyfishes In The Indian Ocean And Between Vibrio Species And Crassostrea Virginica In The Gulf Of Mexico, Alexandra Chauvin

Honors Capstones

Leadership Development And Training In Community-Based Organizations In Myanmar, Anna Rockett

Honors Capstones

Division of Basic Science Faculty Publications

Satisfaction Of Patients With Diabetic Kidney Disease With Traditional Chinese Medicine Physician Visits, Wanling Zeng, Hong Chang Tan, Huang Fang Zheng, Amanda Rui Lin Lam, Kok Keong Teo, Chieh Suai Tan, Jean Paul Kovalik, Sujoy Ghosh, Xiao Hui Xin

Division of Basic Science Faculty Publications

Faculty Publications

Clinical Research Faculty Publications

Social Inequalities In Climate Change-Attributed Impacts Of Hurricane Harvey, Kevin T. Smiley, Ilan Noy, Michael F. Wehner, Dave Frame, Christopher C. Sampson, Oliver E.J. Wing

Faculty Publications

Clinical Research Faculty Publications

Population and Public Health Science Faculty Publications

Population and Public Health Science Faculty Publications

Division of Basic Science Faculty Publications

Beyond The Unknown: A Broad Framing For Preparedness For Emerging Infectious Threats, Rebecca C. Christofferson, Stephania A. Cormier

Division of Basic Science Faculty Publications

Clinical Research Faculty Publications

Clinical Research Faculty Publications

Clinical Research Faculty Publications

Uterine Lumen Fluid Is Metabolically Semi-Autonomous, Constantine A. Simintiras, Jessica N. Drum, Hongyu Liu, M. Sofia Ortega, Thomas E. Spencer

Faculty Publications

Faculty Publications