Works Published in 2020

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Displaying works 81 - 100 of 181 in total

Sorted by most recent date added to the index first, which may not be the same as publication date order.

2020 journal article

Semiparametric regression of the illness-death model with interval censored disease incidence time: An application to the ACLS data

STATISTICAL METHODS IN MEDICAL RESEARCH, 29(12), 3707–3720.

author keywords: Semi-competing model; illlness-death model; semi-parametric regression; interval censoring; Markov models
MeSH headings : Incidence; Likelihood Functions; Longitudinal Studies; Models, Statistical; Proportional Hazards Models
TL;DR: A semiparametric illness-death model account for intermittent observations of the cardiovascular disease incidence time and the right censored data of all-cause mortality is developed and evaluated using extensive simulation studies and illustrated with an application to the Aerobics Center Longitudinal Study data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: July 27, 2020

2020 journal article

Gastric artery embolization: studying the effects of catheter type and injection method on microsphere distributions within a benchtop arterial model

BIOMEDICAL ENGINEERING ONLINE, 19(1).

author keywords: Gastric artery; Embolization; Vessel targeting; Reflux
MeSH headings : Catheters; Embolization, Therapeutic / instrumentation; Gastric Artery; Humans; Injections; Microspheres
TL;DR: Catheter type had a significant effect on targeting accuracy across all injection methods, and the Endobar catheter exhibited a higher targeting accuracy in pairwise comparisons with the other two injection catheters across all injections schemes. (via Semantic Scholar)
Source: Web Of Science
Added: July 27, 2020

2020 journal article

Ultrasoft Liquid Metal Elastomer Foams with Positive and Negative Piezopermittivity for Tactile Sensing

ADVANCED FUNCTIONAL MATERIALS, 30(36).

By: J. Yang n, D. Tang n, J. Ao*, T. Ghosh n, T. Neumann n, D. Zhang n, Y. Piskarev n, T. Yu* ...

author keywords: foams; liquid metals; pressuring sensing; stretchable electronics; tactile sensors
UN Sustainable Development Goal Categories
Sources: Web Of Science, ORCID
Added: July 20, 2020

2020 journal article

Microstructural classification of unirradiated LiAlO2 pellets by deep learning methods

COMPUTATIONAL MATERIALS SCIENCE, 181.

By: K. Pazdernik*, N. LaHaye*, C. Artman n & Y. Zhu*

author keywords: Deep convolutional neural network; Scanning electron microscopy; Spatial point process; Image segmentation
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 20, 2020

2020 journal article

BASELINE DRIFT ESTIMATION FOR AIR QUALITY DATA USING QUANTILE TREND FILTERING

ANNALS OF APPLIED STATISTICS, 14(2), 585–604.

author keywords: Air quality; nonparametric quantile regression; trend estimation
TL;DR: The model provides better quantile trend estimates than existing methods and improves signal classification of low-cost air quality sensor output and proposes a parallelizable alternating direction method of moments (ADMM) algorithm to handle the computational challenge posed by very long time series. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 20, 2020

2020 journal article

Distributions of pattern statistics in sparse Markov models

Annals of the Institute of Statistical Mathematics, 72(4), 895–913.

By: D. Martin n

author keywords: Auxiliary Markov chain; Pattern distribution; Sparse Markov model; Variable length Markov chain
TL;DR: Method for efficient computation of pattern distributions through Markov chains with minimal state spaces is extended to the sparse Markov framework, which gives a better handling of the trade-off between bias associated with having too few model parameters and variance from having too many. (via Semantic Scholar)
Sources: Web Of Science, Crossref
Added: July 20, 2020

2020 journal article

In-Plane Thermoelectric Properties of Flexible and Room-Temperature-Doped Carbon Nanotube Films

ACS Applied Energy Materials, 3(7), 6929–6936.

author keywords: thermoelectrics; carbon nanotubes; flexible film; in-plane thermal conductivity; air stable
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: ORCID
Added: July 16, 2020

2020 journal article

Comparative Exposure Assessment Using Silicone Passive Samplers Indicates That Domestic Dogs Are Sentinels To Support Human Health Research

ENVIRONMENTAL SCIENCE & TECHNOLOGY, 54(12), 7409–7419.

MeSH headings : Animals; Biomarkers; Dogs; Environmental Monitoring; Humans; Organophosphates; Silicones
TL;DR: Exposures among pet dogs and their owners using silicone dog tags and wristbands were evaluated to determine if contaminant levels were correlated with validated biomarkers and the value of using silicone bands with dogs to investigate health impacts on humans from shared exposures is supported. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Source: Web Of Science
Added: July 13, 2020

2020 article

Vecchia Approximations of Gaussian-Process Predictions

Katzfuss, M., Guinness, J., Gong, W., & Zilber, D. (2020, June 23). JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS.

author keywords: Computational complexity; Kriging; Large datasets; Sparsity; Spatial statistics
TL;DR: A general Vecchia framework for GP predictions is considered, which contains some novel and some existing special cases, and it is shown that certain choices within the framework can have a strong effect on uncertainty quantification and computational cost, which leads to specific recommendations on which methods are most suitable for various settings. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: July 13, 2020

2020 journal article

Tenure and Promotion Outcomes at Four Large Land Grant Universities: Examining the Role of Gender, Race, and Academic Discipline

RESEARCH IN HIGHER EDUCATION, 61(5), 628–651.

By: R. Durodoye*, M. Gumpertz n, A. Wilson n, E. Griffith n & S. Ahmad*

author keywords: Tenure; Faculty; Race; Gender; Discipline
UN Sustainable Development Goal Categories
5. Gender Equality (Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 13, 2020

2020 journal article

The influence of packed cell volume versus plasma proteins on thromboelastographic variables in canine blood

JOURNAL OF VETERINARY EMERGENCY AND CRITICAL CARE, 30(4), 418–425.

By: A. Lynch n, L. Ruterbories n, J. Jack n, A. Motsinger-Reif n & R. Hanel*

MeSH headings : Animals; Blood Coagulation Tests / veterinary; Blood Proteins / physiology; Cell Size; Dogs / blood; Female; Fibrinogen / metabolism; Hematocrit / veterinary; Male; Thrombelastography / veterinary
TL;DR: In an ex vivo model, plasma proteins but not PCV impacted TEG variables, suggesting that TEG changes noted with anemia are imparted by changes in available fibrinogen in a fixed microenvironment rather than artifact of anemia. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: July 13, 2020

2020 journal article

Peptide variability and signatures associated with disease progression in CSF collected longitudinally from ALS patients

ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 412(22), 5465–5475.

author keywords: Amyotrophic lateral sclerosis; Cerebrospinal fluid; Longitudinal modeling; Proteomics; Biomarker
MeSH headings : Aged; Amyotrophic Lateral Sclerosis / cerebrospinal fluid; Chromatography, Liquid / methods; Disease Progression; Female; Humans; Longitudinal Studies; Male; Middle Aged; Peptides / cerebrospinal fluid; Proteomics; Tandem Mass Spectrometry / methods
TL;DR: Overall, the CSF protein abundances are tightly regulated with the intra-individual variability contributing just 4% to the overall variance and the association of inflammation with rate of disease progression is explored. (via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (Web of Science; OpenAlex)
Source: Web Of Science
Added: July 13, 2020

2020 journal article

Global forensic geolocation with deep neural networks

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 69(4), 909–929.

By: N. Grantham n, B. Reich n, E. Laber n, K. Pacifici n, R. Dunn n, N. Fierer*, M. Gebert*, J. Allwood n, S. Faith n

author keywords: Citizen science; Machine learning; Microbiome; Non-homogeneous Poisson process; Spatial point pattern
TL;DR: The DeepSpace algorithm makes remarkably good point predictions; for example, when applied to the microbiomes of over 1300 dust samples collected across continental USA, more than half of geolocated predictions produced by this model fall less than 100 km from their true origin, which is a 60% reduction in error from competing geolocation methods. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: July 6, 2020

2020 journal article

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis

PLOS COMPUTATIONAL BIOLOGY, 16(5).

By: A. Brucker n, W. Lu n, R. West n, Q. Yu*, C. Hsiao*, T. Hsiao*, C. Lin*, P. Magnusson* ...

MeSH headings : Algorithms; Area Under Curve; Computational Biology / methods; DNA Copy Number Variations / genetics; Genetic Predisposition to Disease / genetics; Genetic Variation / genetics; Genome, Human / genetics; Genome-Wide Association Study / methods; Genomics / methods; Humans; Polymorphism, Single Nucleotide / genetics; Spatial Analysis
TL;DR: A new kernel-based test called CONCUR is developed that is free from a definition of locus and evaluates CNV-phenotype associations by comparing individuals’ copy number profiles across the genomic regions and is well powered to detect CNV effects in the Swedish Schizophrenia Study and the Taiwan Biobank. (via Semantic Scholar)
Source: Web Of Science
Added: June 22, 2020

2020 journal article

The association between neuraxial anesthesia and the development of childhood asthma - a secondary analysis of the newborn epigenetics study cohort

CURRENT MEDICAL RESEARCH AND OPINION, 36(6), 1025–1032.

author keywords: Anesthesia; opioid analgesics; asthma; children; sex-specific
MeSH headings : Adult; Anesthesia, Epidural / adverse effects; Anesthesia, Obstetrical / adverse effects; Asthma / etiology; Cesarean Section / adverse effects; Child; Child, Preschool; Epigenesis, Genetic; Female; Humans; Infant, Newborn; Logistic Models; Male; Pregnancy; Retrospective Studies
TL;DR: The data suggest that peripartum exposure to neuraxial anesthesia may reduce the risk of childhood asthma primarily in males. (via Semantic Scholar)
Source: Web Of Science
Added: June 22, 2020

2020 journal article

Growth performance, oxidative stress, and antioxidant capacity of newly weaned piglets fed dietary peroxidized lipids with vitamin E or phytogenic compounds in drinking water

APPLIED ANIMAL SCIENCE, 36(3), 341–351.

By: Y. Silva-Guillen n, C. Arellano n, G. Martinez n & E. Heugten n

author keywords: health; oxidation; plant extracts; tocopherol
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (OpenAlex)
Source: Web Of Science
Added: June 22, 2020

2020 journal article

Multiple QTL Mapping in Autopolyploids: A Random-Effect Model Approach with Application in a Hexaploid Sweetpotato Full-Sib Population

Genetics, 215(3), 579–595.

author keywords: multiple interval mapping; polyploid QTL model; restricted maximum likelihood; variance components; yield components; heritability
MeSH headings : Chromosome Mapping / methods; Genome-Wide Association Study / methods; Ipomoea batatas / genetics; Plant Breeding / methods; Polyploidy; Quantitative Trait Loci
TL;DR: The use of a random-effect model approach to map multiple QTL based on score statistics in a sweetpotato bi-parental population (‘Beauregard’ × ‘Tanzania’) with 315 full-sibs is reported, which will facilitate the use of genomic tools insweetpotato breeding as well as in other autopolyploids. (via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Source: ORCID
Added: June 16, 2020

2020 journal article

Disturbances drive changes in coral community assemblages and coral calcification capacity

ECOSPHERE, 11(4).

By: T. Courtney*, B. Barnes*, I. Chollett, R. Elahi*, K. Gross n, J. Guest*, I. Kuffner*, E. Lenz* ...

author keywords: carbonate budgets; climate change; coral bleaching; coral disease; ecological traits; environmental monitoring; resilience; scleractinians
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
14. Life Below Water (Web of Science; OpenAlex)
15. Life on Land (Web of Science)
Source: Web Of Science
Added: June 15, 2020

2020 journal article

DHPA: Dynamic Human Preference Analytics Framework— A Case Study on Taxi Drivers' Learning Curve Analysis

ACM Transactions on Intelligent Systems and Technology, 11(1).

author keywords: Urban computing; inverse reinforcement learning; preference dynamics
TL;DR: This work inversely learns the taxi drivers’ preferences from data and characterize the dynamics of such preferences over time, and extracts two types of features to model the decision space of drivers and learns the preferences of drivers with respect to these features. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: June 15, 2020

2020 journal article

Nonlinear Dose-Response Modeling of High-Throughput Screening Data Using an Evolutionary Algorithm

DOSE-RESPONSE, 18(2).

By: J. Ma n, E. Bair & A. Motsinger-Reif*

author keywords: evolutionary algorithm; hillslope model; parameter estimation; nonlinear regression; model selection
TL;DR: This work proposes the use of an EA for dose–response modeling for a range of potential response model functional forms that can not only fit the most commonly used nonlinear dose– response models but also select the best model if no model assumption is made, which is especially useful in the case of high-throughput curve fitting. (via Semantic Scholar)
Source: Web Of Science
Added: June 15, 2020

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