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Magnetic Solid-Phase Extraction Using Fe3O4@SiO2 Magnetic Nanoparticles Followed by UV-Vis Spectrometry for Determination of Paraquat in Plasma and Urine Samples
Published 2017-01-01“…Upon optimization, paraquat could be extracted and concentrated from various samples by 35-fold. The linear range, limit of detection (LOD), correlation coefficient (R), and relative standard deviation (RSD) could reach 15.0–400.0 μg/L, 12.2 μg/L, 0.9987, and 0.65% (n=5, c = 40.0 μg/L), respectively. …”
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803
An Environmentally Friendly Compact Microfluidic Hydrodynamic Sequential Injection System Using Curcuma putii Maknoi & Jenjitt. Extract as a Natural Reagent for Colorimetric Determ...
Published 2023-01-01“…The results demonstrated a good performance of the green analytical systems. A linear calibration graph in the range of 0.5–6.0 mg L−1 was obtained with a limit of detection at an adequate level of 0.11 mg L−1 for water samples with a sample throughput of 30 h−1. …”
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804
Determination of 229 pesticides residue in edible oil samples using conventional quechers method and solid phase microextraction based on monolithic molecularly imprinted polymer f...
Published 2025-05-01“…The linear range of 1–300 µg kg− 1 for SPME-MMIPF and 10–250 µg kg− 1 for QuEChERS was obtained. …”
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805
Factors Associated with Resilience and Job Satisfaction among a Sample of United States Frontline Healthcare Workers During the COVID-19 Pandemic: Considering Job Demands, Resource...
Published 2025-06-01“…Limitations: The results are limited by convenience sampling and self-report responses. Future research should implement randomized sampling methods to reduce bias. …”
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806
The usage of TiO2@Fe3O4 nanocomposites synthesized by a novel and facile method as adsorbents in the separation/preconcentration of silver ions from domestic wastewater samples
Published 2025-06-01“…The proposed novel TiO2@Fe3O4-MDSPE-FAAS method exhibits detection and quantification limits of 0.005 and 0.017 mg kg−1 in a wide linear working range for silver ions. The method’s relevance and accuracy were evaluated by recovery experiments conducted on both actual and synthetic residential wastewater samples, yielding satisfactory percent recovery results using a matrix-matching calibration strategy. …”
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807
Spoilage detection of tomatoes using a convolutional neural network
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808
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809
Evaluation of Extraction Buffers for Protein Identification in Fish Paste with Chicken Blood Plasma (CBP) Spikes: A Preliminary Mass Spectrometry Study
Published 2025-03-01“…Apo AI was detected in all spiked surimi samples, demonstrating its potential as a marker for blood plasma contamination. …”
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810
SPRC: A novel Sentinel-1/-2 Phenology-enhanced framework for automated paddy rice mapping
Published 2025-09-01“…In large-scale paddy rice mapping, obtaining sufficient training samples that capture the range of phenological variations is difficult. …”
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811
Probe – Integrated electrochemical sensing platform for detection of trace levels of Dapoxetine hydrochloride drug residue in water and drug formulations
Published 2025-04-01“…The proposed probe displayed limits of detection (LOD) and quantification (LOQ) of 5.0 × 10−7 and 1.56 × 10−6 M, respectively, with a wide linear dynamic range (LDR) of 1.0 × 10−6–1.0 × 10−4 M of DPH. …”
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812
High-Performance Anion Exchange Chromatography Electrochemical Determination of Uric Acid as a Contamination Marker
Published 2025-04-01“…Dust wipe samples were extracted in pH 8, 50 mM phosphate buffer with the aid of sonication. …”
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813
Quantifying winter forage resources for reindeer: Developing a method to estimate ground lichen cover and biomass at a local scale
Published 2025-03-01“…These data informed a spatially balanced sampling approach to provide a distribution of plots for a representative field sample. …”
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814
Intelligent Screening of Prostate Cancer Individuals Using an Enzyme‐Assisted Multicolor Visualization Platform
Published 2025-01-01“…The sensor exhibits excellent linearity with Sar within 1–60 × 10−6 m, boasting a remarkable detection limit of 0.12 × 10−6 m. …”
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815
A method for calculating the variance and confidence intervals for tree biomass estimates obtained from allometric equations
Published 2011-05-01“…This paper provides a method based on the theory of linear regression and the lognormal distribution to derive confidence limits for estimates of biomass derived from plant allometric equations. …”
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816
Factors Influencing Production and Market Participation among Smallholder Tomato Growers in Makhuduthamaga Municipality, Greater Sekhukhune District of Limpopo Province, South Afri...
Published 2023-02-01“…The Multiple Linear Regression and the Logistic Regression models were used to analyse the socio-economic factors that influence tomato production and market participation among smallholder tomato farmers in the study area. …”
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817
Customer Engagement and Relationship Management's Effects on Business Performance in Digital Banks
Published 2024-03-01“…The research population consists of 3.9 million digital bank users in total. 400 samples were acquired after simple random sampling, which was then used to calculate the Slovin formula at an acceptable level of 5%, and multiple linear regression analysis was performed. …”
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818
High-Relative-Bandwidth Multiband LNA Distortion Elimination With Neural Network
Published 2024-01-01“…This article presents an innovative approach that harnesses neural networks (NN) to eliminate non-linear distortion in low-noise amplifier (LNA) within multi-channel direct sampling receivers (MDSR). …”
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Estimation of mean population salt intakes using spot urine samples and associations with body mass index, hypertension, raised blood sugar and hypercholesterolemia: Findings from...
Published 2022-01-01“…Student's 't' test, one-way ANOVA and multivariable linear regression were used to assess the association between salt intake and a number of factors. …”
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820
Evaluation of Parametric and Non-Parametric Models in Estimating Canopy Cover Density of Zagros Forests Using Remote Sensing and Machine Learning
Published 2025-06-01“…Multiple linear regression and artificial neural networks were employed to estimate vegetation density. …”
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