Live Cell Barcoding for Efficient Analysis of Small Samples by Mass Cytometry.
Sign Up to like & getrecommendations! Published in 2019 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-9454-0_9
Abstract: In mass cytometry, sample loss is of considerable concern due to the relative inefficiency of cell event collection compared to similar techniques such as flow cytometry. Cell stimulation and the harsh conditions required in the… read more here.
Keywords: mass cytometry; small samples; live cell; cytometry ... See more keywords
New Methodology for Measuring the Thermal Conductivity of Small Samples Using the Boxes Method with Reduced Sensors
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Thermophysics"
DOI: 10.1007/s10765-020-02649-0
Abstract: The reduction of device components is of a major interest for the conception of low-cost devices with a simple design. Generally, the boxes method measures the effective thermal conductivity of relatively large-sized samples due to… read more here.
Keywords: methodology; small samples; method; conductivity small ... See more keywords
Precise measurement of 40K isotopic anomalies in small samples using TIMS with a 1013 Ohm amplifier
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Analytical Atomic Spectrometry"
DOI: 10.1039/d3ja00059a
Abstract: The paradox of volatile depletion in terrestrial planets is critical to the early evolution of planets and the emergence of life. However, the depletion mechanism of volatiles, such as K,... read more here.
Keywords: isotopic anomalies; anomalies small; small samples; 40k isotopic ... See more keywords
Dielectric characterisation of small samples using broadband coaxial cavity
Sign Up to like & getrecommendations! Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.2492
Abstract: A method aimed at dielectric parameters measurement of small samples using a coaxial re-entrant cavity is proposed. After introducing grooves in the cavity structure to suppress parasitic modes, the operating frequency range has been broadened… read more here.
Keywords: using broadband; small samples; characterisation small; cavity ... See more keywords
Testing Differential Item Functioning in Small Samples
Sign Up to like & getrecommendations! Published in 2019 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2019.1671162
Abstract: Abstract Differential item functioning (DIF) is a pernicious statistical issue that can mask true group differences on a target latent construct. A considerable amount of research has focused on evaluating methods for testing DIF, such… read more here.
Keywords: small samples; irt; model; parameter logistic ... See more keywords
A Comparison of Regularized Maximum-Likelihood, Regularized 2-Stage Least Squares, and Maximum-Likelihood Estimation with Misspecified Models, Small Samples, and Weak Factor Structure
Sign Up to like & getrecommendations! Published in 2020 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2020.1753005
Abstract: Abstract Several structural equation modeling estimation methods have recently been developed to alleviate problems associated with model misspecification. Two of the more popular such approaches are 2-stage least squares and regularization methods. Prior work examining… read more here.
Keywords: stage least; estimation; small samples; least squares ... See more keywords
Investigating the Classification Accuracy of Rasch and Nominal Weights Mean Equating with Very Small Samples
Sign Up to like & getrecommendations! Published in 2020 at "Applied Measurement in Education"
DOI: 10.1080/08957347.2019.1674307
Abstract: ABSTRACT Maintaining equivalent performance standards across forms is a psychometric challenge exacerbated by small samples. In this study, the accuracy of two equating methods (Rasch anchored calibration and nominal weights mean) and four anchor item… read more here.
Keywords: investigating classification; weights mean; small samples; mean equating ... See more keywords
Robust estimation of risks from small samples
Sign Up to like & getrecommendations! Published in 2017 at "Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences"
DOI: 10.1098/rsta.2016.0299
Abstract: Data-driven risk analysis involves the inference of probability distributions from measured or simulated data. In the case of a highly reliable system, such as the electricity grid, the amount of relevant data is often exceedingly… read more here.
Keywords: robust estimation; estimation; small samples; risks small ... See more keywords
TBDA-Net: A Task-Based Bias Domain Adaptation Network Under Industrial Small Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3141771
Abstract: The small sample problem is an open challenge in industrial data-driven fault diagnosis. Domain adaptation (DA) has been successfully used to enhance small samples by transferring fault samples in other working conditions, but it suffers… read more here.
Keywords: network; tbda net; task based; small samples ... See more keywords
Similarity Metric-Based Metalearning Network Combining Prior Metatraining Strategy for Intelligent Fault Detection Under Small Samples Prerequisite
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3184368
Abstract: Shipborne antennas often undertake the tasks of guaranteeing ground-to-air communication. Rolling bearings, as key components of the shipborne antenna transmission system, improving its self-maintenance ability is an important link to guarantee the pointing accuracy of… read more here.
Keywords: intelligent fault; small samples; metalearning network; samples prerequisite ... See more keywords
Identifying Problematic Item Characteristics With Small Samples Using Mokken Scale Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Educational and Psychological Measurement"
DOI: 10.1177/00131644211045347
Abstract: Researchers frequently use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, when they have relatively small samples of examinees. Researchers have provided some guidance regarding the minimum sample size for… read more here.
Keywords: small samples; problematic item; mokken scale; scale analysis ... See more keywords