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141
Quantitative Analysis of the Labeling Quality of Biological Images for Semantic Segmentation Based on Attribute Agreement Analysis
Published 2025-03-01“…Semantic segmentation in biological images is increasingly common, particularly in smart agriculture, where deep learning model precision is tied to image labeling quality. …”
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142
Probability of stealth multiplets in sample-multiplexing for droplet-based single-cell analysis
Published 2025-07-01“…However, there is still a possibility of hidden multiplets among what appear to be singlets, for which we introduce the term stealth multiplets, and their probability is yet to be quantitatively examined. Results We developed a simple theoretical model to predict four classes of possible multiplets in mx-scRNA-seq: Homogeneous stealth, partial stealth, multilabelled, and unlabelled. …”
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Quantitative determination of blended proportions in tobacco formulations using near-infrared spectroscopy and transfer learning
Published 2025-08-01“…Accurate detection of blending proportions in tobacco formulations is crucial for ensuring the quality consistency and flavor stability of cigarette products. In recent years, modeling approaches based on near-infrared spectroscopy (NIRS) have attracted significant attention for the quantitative analysis of tobacco blending. …”
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Quantitative measurement of oxygen by Electron Probe X-ray Microanalysis for estimation of iron oxidation state
Published 2025-07-01“…The results were compared with existing thermodynamic models and experimental data, demonstrating excellent agreement. …”
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Towards bridging the synthetic-to-real gap in quantitative photoacoustic tomography via unsupervised domain adaptation
Published 2025-10-01“…The difficulty of obtaining absorption coefficient annotations hinders the practical application of deep learning in quantitative photoacoustic tomography. While training on synthetic data is easy to implement, the synthetic-to-real domain gap poses a significant challenge to model generalization. …”
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EXPLORING OF ACID-BASIC PROPERTIES, DEVELOPMENT AND VALIDATION OF THE METHOD OF QUANTITATIVE DETERMINATION OF ORIGINAL PHARMACEUTICAL SUBSTANCE
Published 2019-02-01“…The object of analysis was a newly synthesized organic substance, a derivative of 4-aminobenzoic acid and malonic ester – 4,4’-(propandiamido) sodium dibenzoate, which has an antisteatotic effect. For the quantitative determination of pharmaceutical substances, it is preferable to use titrimetric methods of analysis, since they are absolute and allow us to estimate the content of the active compound in the substance without using standard samples.Aim. …”
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Inheritance of ‘plant height’ in F<sub>1</sub>–F<sub>2</sub> grain sorghum combinations obtained between parental fоrms distant in ecological and geographical origin
Published 2025-05-01“…The analysis of second-generation hybrids made it possible to establish differences between parental forms in two pairs of genes, which allowed in most cases to combine them with genes of other quantitative traits.…”
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Attraction points: A new sampling design method to quantify common finches’ population
Published 2025-02-01“…As part of the development of a quantitative method for this purpose, this study introduces a population inventory model based on fixed points utilising live decoy birds of the fringillid species being inventoried. …”
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Acceptability criteria for linear dependence in validating UV-spectrophotometric methods of quantitative determination in forensic and toxicological analysis
Published 2014-08-01“…The next criteria and the order of acceptability estimation of linearity for UV-spectrophotometric methods of quantitative determination analyses in biological fluids used in forensic and toxicological analysis have been offered: acceptability estimation of linear dependence parameters is carried out in two stages – for the lines obtained using model solutions (without matrix) and calibration samples respectively; two approaches has been suggested for parameters estimation of linear dependence obtained using model solutions; they are based on: 1) assumption of equality of the uncertainty related to the procedure of sample preparation of calibration standards, and the uncertainty of the calibration curve plotted by model solutions; 2) assumption of insignificance of the uncertainty of the calibration curve plotted by model solutions; for both approaches the acceptability criteria have been offered for residual standard deviation and correlation coefficient ; for estimation of parameters of linear dependence obtained using calibration samples it has been suggested to proceed from assumption of equality of the calibration uncertainty and the uncertainty of measuring the absorbance and sample preparation of the sample to be analysed; within this approach the acceptability criteria have been offered for residual standard deviation RSD0 and correlation coefficient Rс; the parameters of within-run (within-day) and between-run (between-day) linearity should satisfy these criteria. …”
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Abnormal Load Variation Forecasting in Urban Cities Based on Sample Augmentation and TimesNet
Published 2025-03-01“…Second, a sample augmentation method is established based on Generative Adversarial Nets to boost the limited abnormal samples to a larger quantity to assist the forecasting model’s training. …”
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A comparison between general linear regression and quantitative robust regression (data for kidney patients as an example)
Published 2024-09-01“…The research problem was the presence of outliers in the data of the dependent variable and this leads to the inefficiency of the linear regression model estimated using general linear regression due to the failure to meet the conditions for using Ordinary least squares method (OLS), and thus a lack of confidence in its estimated and predictive accuracy, The aim of the research is to use quantitative robust regression on a sample divided into three quartiles (0.25, 0.50, 0.75) represented by (74) male kidney patients in Al-Kadhimiya Hospital for the period (1/2024-3/2024) and compare it with general linear regression and choose the best model using Comparison standards (Hannan & Quinn, Schwartz Bayesian, Akaike Information), to determine the extent of the effect of independent variables (Diabetes, Hypertension, triglycerides, age) on the increase in blood urea, and the researcher reached the advantage of quantitative robust regression (first quartile and second quartile) compared to general linear regression, While general linear regression appeared better than quantitative robust regression (third quartile), All independent variables have a significant effect on the increase in blood urea levels in all three models. …”
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Confirmatory factor analysis of the 8RNEVS scale in a sample of Mexican university students
Published 2024-12-01“…Method: A quantitative methodological study with a cross-sectional design aimed at investigating the psychometric properties of the 8RNEVS scale by using confirmatory factor analysis (CFA), convergent, and discriminant validities in a sample of 350 students from a university in Northern Mexico was realized. …”
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Estimating Cell Count and Distribution in Labeled Histological Samples Using Incremental Cell Search
Published 2011-01-01“…This cellular process has traditionally been studied via sequential histological sampling of these tissues. The length and tedium of traditional sampling is a major impediment to analyzing the large datasets required to accurately model cellular processes. …”
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A Feasible Approach to Detect Pesticides in Food Samples Using THz-FDS and Chemometrics
Published 2020-01-01“…The absorption peaks of pesticides are still detectable in a mixture of pesticides and food samples when they reach a certain concentration. The results from chemometrics analysis show that quantitative detection of pesticides in food samples is feasible. …”
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