A5087146225- Nuclear Physics and Applications
- Radioactive contamination and transfer
- Radioactive element chemistry and processing
- Radioactivity and Radon Measurements
- Nuclear reactor physics and engineering
- Radiation Detection and Scintillator Technologies
- Spectroscopy and Chemometric Analyses
- Advanced Proteomics Techniques and Applications
- Remote-Sensing Image Classification
- Nuclear and radioactivity studies
- Nuclear Materials and Properties
- Graphite, nuclear technology, radiation studies
- Chemical Synthesis and Characterization
- earthquake and tectonic studies
- Stochastic processes and financial applications
- Power System Optimization and Stability
- Atmospheric and Environmental Gas Dynamics
- Advanced Biosensing Techniques and Applications
- Seismology and Earthquake Studies
- Fault Detection and Control Systems
- Gene expression and cancer classification
- Mass Spectrometry Techniques and Applications
- Offshore Engineering and Technologies
- Advanced Statistical Methods and Models
- Geochemistry and Geologic Mapping
Mayo Clinic in Florida
2023
Tarumanagara University
2023
International University of Batam
2020-2021
Pacific Northwest National Laboratory
2007-2020
Oak Ridge National Laboratory
2005-2014
Orano (United States)
2012
National Technical Information Service
2005-2011
Office of Scientific and Technical Information
2005-2011
United States Department of Commerce
2005-2011
Los Alamos National Laboratory
2006-2011
INTRODUCTION: Screening for Barrett's esophagus (BE) is suggested in those with risk factors, but remains underutilized. BE/esophageal adenocarcinoma (EAC) prediction tools integrating multiple factors have been described. However, accuracy modest (area under the receiver-operating curve [AUROC] ≤0.7), and clinical implementation has challenging. We aimed to develop machine learning (ML) BE/EAC models from an electronic health record (EHR) database. METHODS: The Clinical Data Analytics...
The combination of mass and normalized elution time (NET) a peptide identified by liquid chromatography-mass spectrometry (LC-MS) measurements can serve as unique signature for that peptide. However, the specificity an LC-MS measurement depends upon complexity proteome (i.e., number possible peptides) accuracy measurements. In this work, theoretical tryptic digests all predicted proteins from genomes three organisms varying were evaluated specificity. Accuracy mass-NET pairs (on 0 to 1.0 NET...
Many international border crossings screen cargo for illicit nuclear material using radiation portal monitors (RPMs) that measure the gamma-ray flux emitted by vehicles. Screening often consists of primary, which acts as a trip-wire suspect vehicles, and secondary, locates source performs isotopic identification. The authors present method anomaly detection primary screening uses past observations signatures to define an expected benign vehicle population. Newly acquired spectra are then...
The field of proteomics involves the characterization peptides and proteins expressed in a cell under specific conditions. Proteomics has made rapid advances recent years following sequencing genomes an increasing number organisms. A prominent technology for high throughput analysis is use liquid chromatography coupled to Fourier transform ion cyclotron resonance mass spectrometry (LC-FTICR-MS). Meaningful biological conclusions can best be when peptide identities returned by this technique...
We discuss the determination of energy region (bin) boundaries and decision metrics for gamma-ray spectra, acquired using a mid-resolution detector, that are useful detecting illicit sources at low total counts. The bins designed to produce lowest minimum detectable counts spectral comparison ratio technique given false-positive rate specified population benign-source spectra. Spectra from benign source consist observations taken by detector on moving vehicle, as would be obtained during...
Comparing a protein's concentrations across two or more treatments is the focus of many proteomics studies. A frequent source measurements for these comparisons mass spectrometry (MS) analysis peptide ions separated by liquid chromatography (LC) following its enzymatic digestion. Alas, LC−MS identification and quantification equimolar peptides can vary significantly due to their unequal digestion, separation, ionization. This measurability peptides, largest nuisance variation, stymies...
For a person with visual disabilities, in modern times it is not an obstacle for them to study order get good and highest possible insights, therefore Artificial Intelligence created or can be called (Artificial Intelligence). said as robots that mimic human behavior, the purpose of facilitate activity work humans. One example (Speech Recognition). Speech Recognition process identifies sound comes from pronunciation spoken word, system recognize voices humans then translate into data...
Many international border crossings presently screen cargo for illicit nuclear material using radiation portal monitors (RPMs) that measure the gamma ray and/or neutron flux emitted by vehicles. The fact many target sources have a point-like geometry can be exploited to detect subthreshold and filter out benign frequently possess distributed geometry. This report describes two-step process, which has potential complement other alarm algorithms, detecting characterizing point sources. first...
Enzyme-linked immunosorbent assay (ELISA) is a standard immunoassay to estimate protein's concentration in sample. Deploying ELISA microarray format permits simultaneous estimation of the concentrations numerous proteins small These estimates, however, are uncertain due processing error and biological variability. Evaluating critical interpreting significance improving process. Estimation evaluation must be automated realize reliable high-throughput system. In this paper, we present...
Large-scale renewable resources and novel smart-grid technologies continue to increase the complexity of power systems. As systems become more complex, accurate modeling for planning operation becomes a necessity. Inaccurate system models would result in an unreliable assessment security conditions could cause large-scale blackouts. This motivates need model parameter calibration, since some or all parameters either be unknown inaccurate. In this paper, extended Kalman filter is used...
Abstract Summary: ProMAT is a software tool for statistically analyzing data from enzyme-linked immunosorbent assay microarray experiments. The estimates standard curves, sample protein concentrations and their uncertainties multiple assays. generates set of comprehensive figures assessing results diagnosing process quality. available Windows or Mac, distributed as open-source Java R code. Availability: at . requires version 1.5.0 1.9.1 (or more recent versions). either XP Mac OS 10.4 newer...
This paper presents a nonlinear Bayesian regression algorithm for detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory As result, the physics-based model that used to describe relationship between observed remote- spectra, terrestrial (or atmospheric) parameters are estimated typically littered with many unknown ”nuisance” parameters. methods well-suited this context as they...
ABSTRACT Bispeptide nucleic acids (bis-PNAs; PNA clamps), oligomers, and DNA oligonucleotides were evaluated as affinity purification reagents for subfemtomolar 16S ribosomal (rDNA) rRNA targets in soil, sediment, industrial air filter acid extracts. Under low-salt hybridization conditions (10 mM NaPO 4 , 5 disodium EDTA, 0.025% sodium dodecyl sulfate [SDS]) a clamp recovered significantly more target than either or oligomers. The efficacy of clamps oligomers was generally enhanced the...
A general shock model in which the time intervals between shocks have infinite expectation is considered. Limit theorems for first magnitude of a exceeds and historical maximum are given.
Let $F(\cdot)$ be a c.d.f. on $(0, \infty)$ such that $1 - F(x)$ is regularly varying with exponent $-\alpha, \frac{1}{2} < \alpha \leq 1$. $Q(\cdot): \mathscr{R}^+ \rightarrow \mathscr{R}^+$ nonincreasing and $-\beta, 0 \beta Then, as $t \infty, (U \ast Q)(t) \equiv \int_{\lbrack 0,t\rbrack}Q(t u)U(du)$ asymptotic to $c(\alpha, \beta)(\int^t_0Q(u) du)(\int^t_0(1 F(u)) du)^{-1}$, where $U(\cdot)$ the renewal function associated \beta)$ suitable constant. This an improved version of theorem...
Increasing complexity associated with large-scale renewable resources and novel smart-grid technologies necessitates real-time monitoring control. Our previous work applied the extended Kalman Alter (EKF) use of phasor measurement data (PMU) for dynamic state estimation. However, high computation creates significant challenges applications. In this paper, problem distributed estimation is investigated. One domain decomposition method proposed to utilize decentralized computing resources. The...
A shock model in which the time intervals between shocks are domain of attraction a stable law order less than 1 or relatively is considered. Weak limit theorems established for cumulative magnitude and first exceeds z without any assumption on dependence intershock interval magnitude.
A general shock model in which the time intervals between shocks have infinite expectation is considered. Limit theorems for first magnitude of a exceeds and historical maximum are given.