A5023518266- Advanced Electron Microscopy Techniques and Applications
- Soil Geostatistics and Mapping
- Integrated Circuits and Semiconductor Failure Analysis
- Electron and X-Ray Spectroscopy Techniques
- Diabetes and associated disorders
- Advanced Statistical Methods and Models
- Agronomic Practices and Intercropping Systems
- Occupational and environmental lung diseases
- Morphological variations and asymmetry
- Pancreatic function and diabetes
- Electrical and Bioimpedance Tomography
- Recycling and utilization of industrial and municipal waste in materials production
- Glass properties and applications
- Geochemistry and Geologic Mapping
- Optimal Experimental Design Methods
- Diabetes Management and Research
- Genetic Mapping and Diversity in Plants and Animals
- Hepatocellular Carcinoma Treatment and Prognosis
- Advanced Proteomics Techniques and Applications
- Statistical and numerical algorithms
- Ion-surface interactions and analysis
- Cancer survivorship and care
- Thermal and Kinetic Analysis
- Cancer Cells and Metastasis
- Geophysics and Gravity Measurements
Pacific Northwest National Laboratory
2016-2023
Duke University
2021
Health Sciences and Nutrition
2017-2019
Battelle
2019
Statistical Service
2018
Commonwealth Scientific and Industrial Research Organisation
2014-2017
Iowa State University
2013-2014
Prior to statistical analysis of mass spectrometry (MS) data, quality control (QC) the identified biomolecule peak intensities is imperative for reducing process-based sources variation and extreme biological outliers. Without this step, results can be biased. Additionally, liquid chromatography–MS proteomics data present inherent challenges due large amounts missing that require special consideration during analysis. While a number R packages exist address these individually, there no...
The primary purpose of this study was to evaluate the validity an interviewer-administered, 24-h physical activity recall (PAR) compared with that SenseWear Armband (SWA) for estimation energy expenditure (EE) and moderate-to-vigorous (MVPA) in a representative sample adults. A secondary goal compare measurement errors various demographic subgroups (gender, age, weight status).A 1347 adults (20-71 yr, 786 females) wore SWA single day then completed PAR, recalling previous day's activity....
Recent international efforts have brought renewed emphasis on the comparison of different agricultural systems models. Thus far, analysis model-ensemble simulated results has not clearly differentiated between ensemble prediction uncertainties due to model structural differences per se and those parameter value uncertainties. Additionally, despite increasing use Bayesian estimation approaches with field-scale crop models, inadequate attention been given full posterior distributions for...
Liquid chromatography-mass spectrometry (LC-MS)-based proteomics studies of large sample cohorts can easily require from months to years complete. Acquiring consistent, high-quality data in such large-scale is challenging because normal variations instrumentation performance over time, as well artifacts introduced by the samples themselves, those collection, storage and processing. Existing quality control methods for primarily focus on post-hoc analysis remove low-quality that would degrade...
Predicting phenotypic expression from genomic and environmental information is arguably the greatest challenge in today's biology. Being able to survey content, e.g., as single-nucleotide polymorphism data, within a diverse population predict phenotypes of external traits, represents holy grail across genome-informed disciplines, personal medicine nutrition plant breeding. In present study, we propose two-step procedure bridging genome phenome gap where are viewed emergent properties...
Subsampled image acquisition followed by inpainting in a scanning transmission electron microscope is novel approach to control dose and increase the frame rate during experiments, thereby allowing independent of spatial temporal envelope acquisition. Here, subsampled imaging shown permit precise situ observations fundamental kinetic processes behind nucleation growth silver (Ag) nanoparticles from an aqueous solution. At high sampling-levels, can be observed with morphologies that are...
The Environmental Determinants of the Diabetes in Young (TEDDY) study has prospectively followed, from birth, children at increased genetic risk type 1 diabetes. TEDDY collected heterogenous data longitudinally to gain insights into environmental and biological mechanisms driving progression persistent islet autoantibodies.We developed a machine learning model predict imminent transition development autoantibodies based on time-varying metabolomics integrated with time-invariant factors (eg,...
Abstract The purpose of this work is to lower the computational cost predicting charge mobilities in organic semiconductors, which will benefit screening candidates for inexpensive solar power generation. We characterize efforts minimize number expensive quantum chemical calculations we perform by training machines predict electronic couplings between monomers poly‐(3‐hexylthiophene). test five machine learning techniques and identify random forests as most accurate, information‐dense,...
Abstract Hanford low‐activity waste (LAW) glasses with high sulfur concentrations are subject to salt segregation in the melter, which hinders melter operation by corroding components and shortening life. To better predict point at accumulates on melt surface, development of sulfate solubility models is needed. Using a saturation method, crucible scale melts for 13 LAW varying solubilities were conducted. The resulting glass compositions reported change component partitioning following...
Background Circulating tumour cells (CTCs) represent a morphologically distinct subset of cancer cells, which aid the metastatic spread. The ExPeCT trial aimed to examine effectiveness structured exercise programme in modulating levels CTCs and platelet cloaking patients with prostate cancer. Methods Participants (n = 61) were randomised into either standard care (control) or arms. Whole blood was collected for all participants at baseline (T0), three months (T3) six (T6), analysed presence...
Interactions between circulating tumour cells (CTCs) and platelets are thought to inhibit natural killer(NK)-cell-induced lysis. We attempted correlate CTC numbers in men with advanced prostate cancer platelet counts lymphocyte numbers. Sixty-one ExPeCT trial participants, divided into overweight/obese normal weight groups on the basis of a BMI ≥ 25 or <25, were randomized participate not six-month exercise programme. Blood samples at randomization, three six months, subjected ScreenCell...
Classification is a common technique applied to ’omics data build predictive models and identify potential markers of biomedical outcomes. Despite the prevalence case-control studies, number classification methods available analyze generated by such studies extremely limited. Conditional logistic regression most commonly used technique, but associated modeling assumptions limit its ability large class sufficiently complicated ’omic signatures. We propose preprocessing step which generalizes...
Malignant pleural mesothelioma (MPM) is an aggressive inflammatory cancer with a poor survival rate. Treatment options are limited at best and drug resistance common. Thus, there urgent need to identify novel therapeutic targets in this disease order improve patient outcomes times. MST1R (RON) trans-membrane receptor tyrosine kinase (RTK), which part of the c-MET proto-oncogene family. The only ligand recognized bind Macrophage Stimulating 1 (MST1), also known as Protein (MSP) or Hepatocyte...
In this article we introduce the rotations package which provides users with ability to simulate, analyze and visualize three-dimensional rotation data.More specifically it includes four commonly used distributions from simulate data, estimators of central orientation, six confidence region estimation procedures two approaches visualizing data.All these features are available for different parameterizations rotations: three-by-three matrices quaternions.In addition, datasets included that...
Data as three-dimensional rotations have application in computer science, kinematics, and materials sciences, among other areas. Estimating the central orientation from a sample of such data is an important problem, which complicated by fact that several different approaches exist for this, motivated various geometrical decision-theoretical considerations. However, little known about how estimators compare, especially on common distributions location models with random rotations. We examine...
Abstract This article motivates, presents, and illustrates an approach using nonlinear logistic regression (NLR) for modeling binary response data from a mixture experiment when the components can be partitioned into groups used to form dimensionally reduced (DRCs). A DRC is formed linear combination of in group having similar roles and/or effects same sign, where combinations over all are normalized so that proportions sum one. Linear particular provide quantifying remaining relative chosen...
Primary biological aerosol particles (PBAPs) are microscopic solids suspended in the atmosphere emitted by systems and play critical roles atmosphere–biosphere system, impacting human health, climate, ecosystem function. Understanding sources of PBAPs is necessary to decipher mechanistic interactions between aerosols, other components. However, detection specific complex ambient samples challenging. We performed metabolomics analyses pollen from three pollinating tree species collected...
This article presents a case study of developing space-filling design (SFD) for constrained mixture experiment when the experimental region is specified by single-component constraints (SCCs), linear multiple-component (LMCCs), and nonlinear (NMCCs). Traditional methods software designing experiments with SCCs LMCCs (using either optimal or SFD approaches) are not directly applicable because NMCCs. A algorithm in JMP® was modified to accommodate NMCCs; modification described this article....
Abstract Type 1 diabetes (T1D) results from an autoimmune destruction of pancreatic β cells. A significant gap in understanding the disease cause is lack predictive biomarkers for each its developmental stages. Here, we conducted a blinded, two-phase case-control plasma proteomics analysis children enrolled TEDDY study to identify autoimmunity and T1D development. First, performed untargeted analyses 2,252 samples 184 individuals identified 376 regulated proteins. Complement/coagulation,...