Physical Sciences and Mathematics Commons^™

Distinct Clinicopathologic Clusters Of Persons With Tdp-43 Proteinopathy, Yuriko Katsumata, Erin L. Abner, Shama Karanth, Merilee A. Teylan, Charles N. Mock, Matthew D. Cykowski, Edward B. Lee, Kevin L. Boehme, Shubhabrata Mukherjee, John S. K. Kauwe, Richard J. Kryscio, Frederick A. Schmitt, David W. Fardo, Peter T. Nelson

Biostatistics Faculty Publications

To better understand clinical and neuropathological features of TDP-43 proteinopathies, data were analyzed from autopsied research volunteers who were followed in the National Alzheimer’s Coordinating Center (NACC) data set. All subjects (n = 495) had autopsy-proven TDP-43 proteinopathy as an inclusion criterion. Subjects underwent comprehensive longitudinal clinical evaluations yearly for 6.9 years before death on average. We tested whether an unsupervised clustering algorithm could detect coherent groups of TDP-43 immunopositive cases based on age at death and extensive neuropathologic data. Although many of the brains had mixed pathologies, four discernible clusters were identified. Key differentiating features were age at …

Spotted Owls And Forest Fire: Comment, Gavin M. Jones, R. J. Gutiérrez, William M. Block, Peter C. Carlson, Emily J. Comfort, Samuel A. Cushman, Raymond J. Davis, Stephanie A. Eyes, Alan B. Franklin, Joseph L. Ganey, Shaula Hedwall, John J. Keane, Rodd Kelsey, Damon B, Lesmeister, Malcolm P. North, Susan L. Roberts, Jeremy T. Rockweit, Jamie S. Sanderlin, Sarah C. Sawyer, Ben Solvesky, Douglas J. Tempel, Ho Yi Wan, A. Leroy Westerling, Gary C. White, M. Zachariah Peery

USDA Wildlife Services: Staff Publications

Western North American forest ecosystems are experiencing rapid changes in disturbance regimes because of climate change and land use legacies (Littell et al. 2018). In many of these forests, the accumulation of surface and ladder fuels from a century of fire suppression, coupled with a warming and drying climate, has led to increases in the number of large fires (Westerling 2016) and the proportion of areas burning at higher severity (Safford and Stevens 2017, Singleton et al. 2018). While the annual area burned by fire is still below historical levels (Taylor et al. 2016), some forest types in the west …

A Statistical Learning Regression Model Utilized To Determine Predictive Factors Of Social Distancing During Covid-19 Pandemic, Timothy A. Smith, Albert J. Boquet, Matthew V. Chin

Publications

In an application of the mathematical theory of statistics, predictive regression modelling can be used to determine if there is a trend to predict the response variable of social distancing in terms of multiple predictor input “predictor” variables. In this study the social distancing is measured as the percentage reduction in average mobility by GPS records, and the mathematical results obtained are interpreted to determine what factors drive that response. This study was done on county level data from the state of Florida during the COVID-19 pandemic, and it is found that the most deterministic predictors are county population density …

Nicotine In Tobacco Product Aerosols: 'It's Deja Vu All Over Again', Anna K. Duell, James F. Pankow, David H. Peyton

Chemistry Faculty Publications and Presentations

Introduction: The distribution of nicotine among its free-base (fb) and protonated forms in aerosolised nicotine affects inhalability. It has been manipulated in tobacco smoke and now in electronic cigarettes by the use of acids to de-freebase nicotine and form ‘nicotine salts’.

Methods: Measurements on electronic cigarette fluids (e-liquids) were carried out to determine (1) the fraction of nicotine in the free-base form (α fb) and (2) the levels of organic acid(s) and nicotine. Samples included JUUL ‘pods’, ‘look-a-like/knock-off’ pods and some bottled ‘nicotine salt’ and ‘non-salt’ e-liquids.

Results: α fb= 0.12 ±0.01 at 40°C (≈ 37°C) for 10 JUUL products, …

Multi-Ancestry Genome-Wide Association Study Accounting For Gene-Psychosocial Factor Interactions Identifies Novel Loci For Blood Pressure Traits, Daokun Sun, Melissa A. Richard, Soloman K. Musani, Yun Ju Sung, Thomas W. Winkler, Karen Schwander, Jin Fang Chai, Xiuqing Guo, Tuomas O. Kilpeläinen, Dina Vojinovic, Hugues Aschard, Traci M. Bartz, Lawrence F. Bielak, Michael R. Brown, Kumaraswamy Chitrala, Fernando P. Hartwig, Andrea R. V. R. Horimoto, Yongmei Liu, Alisa K. Manning, Raymond Noordam, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP, taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from five ancestry groups. In the combined meta-analyses of stages 1 and 2, we identified 59 loci (p value < 5e−8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (PLCL2), synaptic function and neurotransmission (LIN7A …

A Hybrid Agent-Based And Equation Based Model For The Spread Of Infectious Diseases, Elizabeth Hunter, Brian Mac Namee, John D. Kelleher

Articles

Both agent-based models and equation-based models can be used to model the spread of an infectious disease. Equation-based models have been shown to capture the overall dynamics of a disease outbreak while agent-based models are able to capture heterogeneous characteristics of agents that drive the spread of an outbreak. However, agent-based models are computationally intensive. To capture the advantages of both the equation-based and agent-based models, we create a hybrid model where the disease component of the hybrid model switches between agent-based and equation-based. The switch is determined using the number of agents infected. We first test the model at …

The Use Of Penalized Regression Analysis To Identify County-Level Demographic And Socioeconomic Variables Predictive Of Increased Covid-19 Cumulative Case Rates In The State Of Georgia, Holly L. Richmond, Joana Tome, Haresh Rochani, Isaac Chun-Hai Fung, Gulzar H. Shah, Jessica S. Schwind

Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Publications

Systemic inequity concerning the social determinants of health has been known to affect morbidity and mortality for decades. Significant attention has focused on the individual-level demographic and co-morbid factors associated with rates and mortality of COVID-19. However, less attention has been given to the county-level social determinants of health that are the main drivers of health inequities. To identify the degree to which social determinants of health predict COVID-19 cumulative case rates at the county-level in Georgia, we performed a sequential, cross-sectional ecologic analysis using a diverse set of socioeconomic and demographic variables. Lasso regression was used to identify variables …

A New Efficient Method To Detect Genetic Interactions For Lung Cancer Gwas, Jennifer Luyapan, Xuemei Ji, Siting Li, Xiangjun Xiao, Dakai Zhu, Eric J. Duell, David C. Christiani, Matthew B. Schabath, Susanne M. Arnold, Shanbeh Zienolddiny, Hans Brunnström, Olle Melander, Mark D. Thornquist, Todd A. Mackenzie, Christopher I. Amos, Jiang Gui

Markey Cancer Center Faculty Publications

BACKGROUND: Genome-wide association studies (GWAS) have proven successful in predicting genetic risk of disease using single-locus models; however, identifying single nucleotide polymorphism (SNP) interactions at the genome-wide scale is limited due to computational and statistical challenges. We addressed the computational burden encountered when detecting SNP interactions for survival analysis, such as age of disease-onset. To confront this problem, we developed a novel algorithm, called the Efficient Survival Multifactor Dimensionality Reduction (ES-MDR) method, which used Martingale Residuals as the outcome parameter to estimate survival outcomes, and implemented the Quantitative Multifactor Dimensionality Reduction method to identify significant interactions associated with age of …

S3e7: Did Climate Impact Wwi, Spanish Flu Casualties?, Ron Lisnet, Paul A. Mayewski, Alex More

The Maine Question

Incessant torrential rain and cold air over Europe from 1914 to 1919 likely increased the number of people who died during World War I (22 million) and the Spanish flu pandemic (50 million). Alex More and Paul Mayewski from the Climate Change Institute connected data from climate science, history and public health to make the discovery. The colleagues say the once-in-a-century climate anomaly may have been caused by dust and explosives from the war that impacted the local atmosphere. As we anticipate another wave of COVID-19, More says we should be mindful of the interconnectedness of human-caused climate change, environmental …

Combating Acquired Resistance To Mapk Inhibitors In Melanoma By Targeting Abl1/2-Mediated Reactivation Of Mek/Erk/Myc Signaling, Rakshamani Tripathi, Zulong Liu, Aditi Jain, Anastasia Lyon, Christina Meeks, Dana Richards, Jinpeng Liu, Daheng He, Chi Wang, Marika Nespi, Andrey Rymar, Peng Wang, Melissa Wilson, Rina Plattner

Pharmacology and Nutritional Sciences Faculty Publications

Metastatic melanoma remains an incurable disease for many patients due to the limited success of targeted and immunotherapies. BRAF and MEK inhibitors reduce metastatic burden for patients with melanomas harboring BRAF mutations; however, most eventually relapse due to acquired resistance. Here, we demonstrate that ABL1/2 kinase activities and/or expression are potentiated in cell lines and patient samples following resistance, and ABL1/2 drive BRAF and BRAF/MEK inhibitor resistance by inducing reactivation of MEK/ERK/MYC signaling. Silencing/inhibiting ABL1/2 blocks pathway reactivation, and resensitizes resistant cells to BRAF/MEK inhibitors, whereas expression of constitutively active ABL1/2 is sufficient to promote resistance. Significantly, nilotinib (2nd generation …

Association Between Dietary Inflammatory Index And Type 2 Diabetes Mellitus In Xinjiang Uyghur Autonomous Region, China, Wenhui Fu, Hualian Pei, Nitin Shivaooa, James R. Hébert, Tao Luo, Tian Tian, Dilibaier Alimu, Zewen Zhang, Jianghong Dai

Faculty Publications

Background Diet and inflammation have both been studied in relation to type 2 diabetes mellitus (T2DM). The aim of this cross-sectional study was to examine the association between the Dietary Inflammatory Index (DII®) and T2DM. Methods Subjects were adults enrolled in the baseline study of the Xinjiang multi-ethnic natural population cohort and health follow-up study from January to May 2019. The study involved 5,105 subjects (58.7% men) between 35 and 74 years of age. The DII score was calculated from a data obtained via a food frequency questionnaire consisting of 127 food items. Results Logistic regression analyses were used to …

Loci Associated With Antibody Response In Feral Swine (Sus Scrofa) Infected With Brucella Suis, Courtney F. Pierce, Vienna R. Brown, Steven C. Olsen, Paola Boggiatto, Kerri Pedersen, Ryan S. Miller, Scott E. Speidel, Timothy J. Smyser

USDA Wildlife Services: Staff Publications

Feral swine (Sus scrofa) are a destructive invasive species widespread throughout the United States that disrupt ecosystems, damage crops, and carry pathogens of concern for the health of domestic stock and humans including Brucella suis—the causative organism for swine brucellosis. In domestic swine, brucellosis results in reproductive failure due to abortions and infertility. Contact with infected feral swine poses spillover risks to domestic pigs as well as humans, companion animals, wildlife, and other livestock. Genetic factors influence the outcome of infectious diseases; therefore, genome wide association studies (GWAS) of differential immune responses among feral swine can provide …

A Review Of Avian Influenza A Virus Associations In Synanthropic Birds, Susan A. Shriner, J. Jeffrey Root

USDA Wildlife Services: Staff Publications

Avian influenza A viruses (IAV) have received significant attention due to the threat they pose to human, livestock, and wildlife health. In this review, we focus on what is known about IAV dynamics in less common avian species that may play a role in trafficking IAVs to poultry operations. Specifically, we focus on synanthropic bird species. Synanthropic species, otherwise known as peridomestic, are species that are ecologically associated with humans and anthropogenically modified landscapes, such as agricultural and urban areas. Aquatic birds such as waterfowl and shorebirds are the species most commonly associated with avian IAVs, and are generally considered …

Synthesis, In Vitro, And In Vivo Evaluation Of Novel N-Phenylindazolyl Diarylureas As Potential Anti-Cancer Agents., Lucas N Solano, Grady L Nelson, Conor T Ronayne, Shirisha Jonnalagadda, Sravan K Jonnalagadda, Kaija Kottke, Robert Chitren, Joseph L Johnson, Manoj K Pandey, Subash C. Jonnalagadda, Venkatram R Mereddy

Faculty Scholarship for the College of Science & Mathematics

Novel N-phenylindazole based diarylureas have been designed, synthesized and evaluated as potential anticancer agents. In vitro cell viability studies of these derivatives illustrate good potency with IC50 values in the range of 0.4–50 μM in several cancer cell lines including murine metastatic breast cancer 4T1, murine glioblastoma GL261, human triple negative breast cancer MDA-MB-231, human pancreatic cancer MIAPaCa-2, and human colorectal cancer cell line WiDr. The ester group in the lead compound 8i was modified to incorporate amino-amides to increase solubility and stability while retaining biological activity. Further in vitro studies reveal that lead candidates inhibit tube length in HUVEC …

Sure 2020 Undergraduate Science Conference Booklet, Sure Network

Group Reports

The SURE 2020 Conference was the third series of Science Undergraduate Research Experience (SURE) Conferences, following earlier series in 2018 (with three conferences in Dublin, Athlone and Waterford) and in 2019 (with three conferences in Dublin, Sligo and Carlow). The 2020 online conference had a total of 24 oral presentations and 35 poster presentations, and was attended by over 450 students, academic staff, professional body and industry representatives.

The aims of the conference were to:

1. Provide current students with an opportunity to gain an understanding of the work which has been undertaken by recent graduates, and the career opportunities that …

Mobilizing Crop Biodiversity, Susan Mccouch, Zahra Katy Navabi, Michael Abberton, Noelle L. Anglin, Rosa Lia Barbieri, Michael Baum, Kirstin Bett, Helen Booker, Gerald L. Brown, Glenn J. Bryan, Luigi Cattivelli, David Charest, Kellye Eversole, Marcelo Freitas, Kioumars Ghamkhar, Dario Grattipaglia, Robert Henry, Maria Cleria Valadares Inglis, Tofazzal Islam, Zakaria Kehel, Paul J. Kersey, Graham J. King, Stephen Kresovich, Emily Marden, Sean Mayes, Marie Noelle Ndjiondjiop, Henry T. Nguyen, Samuel Rezende Paiva, Roberto Papa, Peter W.B. Phillips, Awais Rasheed

College of Agriculture and Life Sciences Faculty Publications

No abstract provided.

Modeling The Influence Of Public Risk Perceptions On The Adoption Of Green Stormwater Infrastructure: An Application Of Bayesian Belief Networks Versus Logistic Regressions On A Statewide Survey Of Households In Vermont, Qing Ren, Asim Zia, Donna M. Rizzo, Nancy Mathews

College of Engineering and Mathematical Sciences Faculty Publications

There is growing environmental psychology and behavior literature with mixed empirical evidence about the influence of public risk perceptions on the adoption of environmentally friendly “green behaviors”. Adoption of stormwater green infrastructure on residential properties, while costlier in the short term compared to conventional greywater infrastructure, plays an important role in the reduction of nutrient loading from non-point sources into freshwater rivers and lakes. In this study, we use Bayesian Belief Networks (BBNs) to analyze a 2015 survey dataset (sample size = 472 respondents) about the adoption of green infrastructure (GSI) in Vermont’s residential areas, most of which are located …

Mapping Disparities In Covid-19: Determining The Demographic, Economic, Educational, Housing, Quality Of Life, And Health Factors That Relate To Disparities In Covid-19 Infections And Deaths, Kate Stanley, Naima Shifa

Annual Student Research Poster Session

Background: Throughout the pandemic, minority groups, particularly African Americans and Hispanic/Latino Americans have experienced disproportionately high infection and death rates as compared to their white and Asian counterparts. Though this phenomenon could be attributed to high rates of pre-existing conditions in black and Hispanic communities, there are other underlying factors that cause such disparity. We set out to determine whether or not various demographic, economic, educational, health, housing, and quality of life indicators were correlated with higher rates of COVID-19 infection.

Methods: We used USAFacts COVID-19 data to select the 150 United States counties with the highest infection rates. We …

Pattern Of Health Behavior And Its Association With Self-Rated Health: Evidence From The 2018 Behavioral Risk Factor Surveillance System In The United States, Linh Nguyen, Mamunur Rashid, M Mazharul Islam

Annual Student Research Poster Session

Physical inactivity, tobacco use, and alcohol consumption are linked with increased morbidity and mortality. To improve public health services, we need to keep policymakers updated with health-related issues. Yet, there are limited numbers of recent research on the combination of those lifestyle behaviors as the determinants of self-rated health (SRH) in the US. Therefore, this study (1) examines the pattern of physical activities, smoking, alcohol consumption, and SRH, and (2) investigates the association between the behaviors and SRH status among US citizens. We extracted data from the latest state-based survey of the 2018 Behavioral Risk Factor Surveillance System (BRFSS), which …

Genome-Wide Association Study In Accessions Of The Mini-Core Collection Of Mungbean (Vigna Radiata) From The World Vegetable Gene Bank (Taiwan), Alena Sokolkova, Marina Burlyaeva, Tatjana Valiannikova, Margarita Vishnyakova, Roland Schafleitner, Cheng Ruei Lee, Chau Ti Ting, Ramakrishnan Madhavan Nair, Sergey Nuzhdin, Maria Samsonova, Eric Von Wettberg

College of Agriculture and Life Sciences Faculty Publications

Background: Mungbean (Vigna radiata (L.) R. Wilczek, or green gram) is important tropical and sub-tropical legume and a rich source of dietary protein and micronutrients. In this study we employ GWAS to examine the genetic basis of variation in several important traits in mungbean, using the mini-core collection established by the World Vegetable Center, which includes 296 accessions that represent the major market classes. This collection has been grown in a common field plot in southern European part of Russia in 2018. Results: We used 5041 SNPs in 293 accessions that passed strict filtering for genetic diversity, linkage disequilibrium, population …

Imaging Data On Characterization Of Retinal Autofluorescent Lesions In A Mouse Model Of Juvenile Neuronal Ceroid Lipofuscinosis (Cln3 Disease), Qing Jun Wang, Kyung Sik Jung, Kabhilan Mohan, Mark E. Kleinman

Ophthalmology and Visual Science Faculty Publications

Juvenile neuronal ceroid lipofuscinosis (JNCL, aka. juvenile Batten disease or CLN3 disease), a lethal pediatric neurodegenerative disease without cure, often presents with vision impairment and characteristic ophthalmoscopic features including focal areas of hyper-autofluorescence. In the associated research article “Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium” (Zhong et al., 2020) [1], we reported ophthalmoscopic observations of focal autofluorescent lesions or puncta in the Cln3^Δex7/8 mouse retina at as young as 8 month old. In this data article, we performed differential interference contrast and …

Gym Usage Behavior & Desired Digital Interventions: An Empirical Study, Meeralakshmi Radhakrishnan, Archan Misra, Rajesh Krishna Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

Understanding individual’s exercise motives, participation patterns in a gym and reasons for dropout are essential for designing strategies to help gym-goers with long-term exercise adherence. In this work, we derive insights on various exercise-related behaviors of gymgoers, including evidence of a significant number of individuals exhibiting early dropout and also describing their attitudes towards digital technologies for sustained gym participation. By utilizing gym visitation data logs of 6513 individuals over a longitudinal period of 16 months in a campus gym, we show the retention and dropout rates of gym-goers. Our data indicates that 32% of the people quit their gym …

Instability Of Glucocorticoid Metabolites In Coyote Scats: Implications For Field Sampling, Erika T. Stevenson, Eric M. Gese, Lorin A. Neuman-Lee, Susannah S. French

USDA Wildlife Services: Staff Publications

Studying physiologic stress responses can assist in understanding the welfare of animals. One method of measuring the physiologic stress response is evaluating concentrations of glucocorticoid metabolites in feces. Previously, using an adrenocorticotropic hormone challenge, we found fecal glucocorticoid metabolite levels were a reliable indicator of physiologic stress response in coyotes (Canis latrans). We determine whether glucocorticoid metabolite concentrations remain stable when collecting feces over a 2-week period, a timeframe commonly used in scat surveys for wild canids. We collected feces from 6 captive coyotes maintained at the U.S. Department of Agriculture, Wildlife Services, National Wildlife Research Center, Predator …

Tools, Techniques And Teamwork: Transferring New Technologies For Wildlife Management, Conservation And Economic Development, John Eisemann, Gail Keirn

USDA Wildlife Services: Staff Publications

Did you ever wonder who invented radio telemetry? Or breakaway snares? What about the bird repellent methyl anthranilate or the livestock protection collar? These and many other tools used in wildlife damage management resulted from creative thinking by biologists, technicians, researchers and managers working to solve complex wildlife issues. Over the past 90 years, these “aha moments” within the U.S. Department of Agriculture’s Wildlife Services program have ranged from developing novel scare devices, traps and vaccines to exploiting an animal’s visual capabilities to stop unwanted behaviors. Once discovered, these unique ideas may lead to practical, feasible and cost-effective wildlife damage …

Dynamical Climatic Model For Time To Flowering In Vigna Radiata, Konstantin Kozlov, Alena Sokolkova, Cheng Ruei Lee, Chau Ti Ting, Roland Schafleitner, Eric Bishop-Von Wettberg, Sergey Nuzhdin, Maria Samsonova

College of Agriculture and Life Sciences Faculty Publications

Background: Phenology data collected recently for about 300 accessions of Vigna radiata (mungbean) is an invaluable resource for investigation of impacts of climatic factors on plant development. Results: We developed a new mathematical model that describes the dynamic control of time to flowering by daily values of maximal and minimal temperature, precipitation, day length and solar radiation. We obtained model parameters by adaptation to the available experimental data. The models were validated by cross-validation and used to demonstrate that the phenology of adaptive traits, like flowering time, is strongly predicted not only by local environmental factors but also by plant …

Modeling Alternative Collaborative Governance Network Designs: An Agent-Based Model Of Water Governance In The Lake Champlain Basin, Vermont, Patrick Bitterman, Christopher J. Koliba

College of Agriculture and Life Sciences Faculty Publications

Published by Oxford University Press on behalf of the Public Management Research Association. With the widespread use of collaborative governance mechanisms for mitigating water pollution, an opportunity exists to test alternative institutional designs based on collaborative governance theory using computer simulation models, particularly when there is a clear relationship between governance networks, observable resource allocation decisions, and measurable outcomes. This is especially the case for wicked problems like nonpoint source water pollution where there are compelling questions regarding how best to design policies, allocate funds, and build administrative capacity to meet water quality standards. We present an agent-based model (ABM) …

Contrasting Cumulative Risk And Multiple Individual Risk Models Of The Relationship Between Adverse Childhood Experiences (Aces) And Adult Health Outcomes, Marianna Lanoue, Brandon George, Deborah L Helitzer, Scott W Keith

College of Population Health Faculty Papers

BACKGROUND: A very large body of research documents relationships between self-reported Adverse Childhood Experiences (srACEs) and adult health outcomes. Despite multiple assessment tools that use the same or similar questions, there is a great deal of inconsistency in the operationalization of self-reported childhood adversity for use as a predictor variable. Alternative conceptual models are rarely used and very limited evidence directly contrasts conceptual models to each other. Also, while a cumulative numeric 'ACE Score' is normative, there are differences in the way it is calculated and used in statistical models. We investigated differences in model fit and performance between the …

Single‐Molecule 3d Orientation Imaging Reveals Nanoscale Compositional Heterogeneity In Lipid Membranes, Jin Lu, Hesam Mazidi, Tianben Ding, Oumeng Zhang, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

In soft matter, thermal energy causes molecules to continuously translate and rotate, even in crowded environments, thereby impacting the spatial organization and function of most molecular assemblies, such as lipid membranes. Directly measuring the orientation and spatial organization of large collections (>3000 molecules μm⁻²) of single molecules with nanoscale resolution remains elusive. In this paper, we utilize SMOLM, single‐molecule orientation localization microscopy, to directly measure the orientation spectra (3D orientation plus “wobble”) of lipophilic probes transiently bound to lipid membranes, revealing that Nile red's (NR) orientation spectra are extremely sensitive to membrane chemical composition. SMOLM images resolve …

Integrated Multiparametric Radiomics And Informatics System For Characterizing Breast Tumor Characteristics With The Oncotypedx Gene Assay, Michael A. Jacobs, Christopher B. Umbricht, Vishwa S. Parekh, Riham H. El Khouli, Leslie Cope, Katarzyna J. Macura, Susan Harvey, Antonio C. Wolff

Radiology Faculty Publications

Optimal use of multiparametric magnetic resonance imaging (mpMRI) can identify key MRI parameters and provide unique tissue signatures defining phenotypes of breast cancer. We have developed and implemented a new machine-learning informatic system, termed Informatics Radiomics Integration System (IRIS) that integrates clinical variables, derived from imaging and electronic medical health records (EHR) with multiparametric radiomics (mpRad) for identifying potential risk of local or systemic recurrence in breast cancer patients. We tested the model in patients (n = 80) who had Estrogen Receptor positive disease and underwent OncotypeDX gene testing, radiomic analysis, and breast mpMRI. The IRIS method was trained …

Nanoscale Battery Cathode Materials Induce Dna Damage In Bacteria, Tian A. Qiu, Valeria Guidolin, Khoi Nguyen L. Hoang, Thomas Pho, Andrea Carra, Peter W. Villalta, Jiayi He, Xiaoxiao Yao, Robert J. Hamers, Silvia Balbo, Z Vivian Feng, Christy L. Haynes

Faculty Authored Articles

The increasing use of nanoscale lithium nickel manganese cobalt oxide (LixNiyMnzCo1−y−zO2, NMC) as a cathode material in lithium-ion batteries poses risk to the environment. Learning toxicity mechanisms on molecular levels is critical to promote proactive risk assessment of these complex nanomaterials and inform their sustainable development. We focused on DNA damage as a toxicity mechanism and profiled in depth chemical and biological changes linked to DNA damage in two environmentally relevant bacteria upon nano-NMC exposure. DNA damage occurred in both bacteria, characterized by double-strand breakage and increased levels of many putative chemical modifications on bacterial DNA bases related to direct …