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801
Synthesis, Evaluation, and Electrochemical Detection Application of Magnetic Molecularly Imprinted Polymers for 4,4′-Methylenedianiline from Food-Contact Materials
Published 2023-01-01“…Magnetic molecularly imprinted polymers (MIPs) capable of selectively recognizing and absorbing 4,4′-methylenedianiline (MDA) were successfully synthesized, using Fe3O4 coated with mesoporous silicon (Fe3O4@mSiO2) as the magnetic carrier, 4-vinyl pyridine (4-VP) as the functional monomer, ethylene glycol dimethacrylate (EGDMA) as the cross-linking agent, and MDA as the template molecule. …”
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802
A New Quinone Based Fluorescent Probe for High Sensitive and Selective Detection of Biothiols and Its Application in Living Cell Imaging
Published 2019-01-01“…In addition, the probe has been successfully applied to the detection of biothiols in Eca9706 cells by fluorescence confocal imaging technology.…”
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803
Sensitive and selective detection of Staphylococcus aureus via a dual-recognition colorimetric platform based on phenylboronic acid and IgY
Published 2025-07-01“…The optimized method can be performed within 120 min, with a detection limit of 9.4 × 102 CFU/mL. The proposed strategy was successfully applied to detection of S. aureus in spring water and apple juice samples. …”
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804
Fluorescent nanoprobe prepared from hyaluronic acid modified iron selenide nanoparticles for real-time detection of hyaluronidase as tumor marker
Published 2023-06-01“…Analyses by FTIR, XRD, XPS, EDX, TEM, DLS, 1H NMR and TGA confirmed the successful synthesis of the nanoprobe, and fluorescence spectroscopy proved its good detection performance. …”
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805
Bio-nanoparticles sensor couple with smartphone digital image colorimetry and dispersive liquid–liquid microextraction for aflatoxin B1 detection
Published 2025-03-01“…Abstract A novel nanobiosensor-based colorimetric method was developed by integrating ZnO nanoparticles functionalized with curcumin, dispersive liquid–liquid microextraction (DLLME), and smartphone digital image colorimetry for the sensitive detection of aflatoxin B1 (AFB1) in baby food samples. …”
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806
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807
Vibration-Based Damage Detection of a Steel-Concrete Composite Slab Using Non-Model-Based and Model-Based Methods
Published 2020-01-01“…For the non-model-based method, modal flexibility and modal flexibility displacement (MFD) were used to detect the location and extent of the damage. The test results showed that the appearance and location of the damage in defect cases and loading conditions can be successfully identified by the MFD values. …”
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808
Rapid-Response and Highly Sensitive Boronate Derivative-Based Fluorescence Probe for Detecting H2O2 in Living Cells
Published 2019-01-01“…The probe was conjugated using the TPIOP functional group acting as an excellent fluorescent enhancer. …”
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809
A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults
Published 2025-08-01“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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810
Sheath Voltage Limiter Defects Detection Method Based on Harmonic Phasor Differences of Sheath Current for Cross-Bonded HV Cable
Published 2025-01-01“…By establishing a frequency-domain equivalent model of cross-bonded HV cables combined with SVL nonlinear resistance characteristics, harmonic currents under defect conditions are treated as harmonic sources injected into the sheath loop. Transfer functions analyze the impacts of SVL defects on sheath currents, revealing that harmonic content during SVL defects is significantly higher than under normal conditions and other defect types. …”
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811
Nutritional and Functional Characterization of Flour from Seeds of Chañar (<i>Geoffroea decorticans</i>) to Promote Its Sustainable Use
Published 2025-03-01“…A high polyphenol and dietary fiber content was detected. Flavonoids and condensed tannins were the dominant phenolics. …”
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812
Secure ISAC MIMO systems: exploiting interference with Bayesian Cramér–Rao bound optimization
Published 2025-02-01“…Abstract In this paper, we present a signaling design for secure integrated sensing and communication (ISAC) systems comprising a dual-functional multi-input multi-output base station that simultaneously communicates with multiple users while detecting targets present in their vicinity, which are regarded as potential eavesdroppers. …”
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813
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814
Eeg-based detection of epileptic seizures in patients with disabilities using a novel attention-driven deep learning framework with SHAP interpretability
Published 2025-09-01“…We articulate the mathematical characteristics of feature selection driven by NAM, delineate the convergence attributes of the loss function, and present measures of explainability through Shapley Additive Explanations (SHAP). …”
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815
Effect of Robot-Assisted Therapy on Participation of People with Limited Upper Limb Functioning: A Systematic Review with GRADE Recommendations
Published 2021-01-01“…To investigate the effect of RT on the participation of individuals with limited upper limb functioning (PROSPERO: CRD42019133880). Data Sources: PEDro, Embase, MEDLINE, CINAHL, Cochrane, AMED, and Compendex. …”
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816
Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass
Published 2017-01-01“…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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817
PAMFPN: Position-Aware Multi-Kernel Feature Pyramid Network with Adaptive Sparse Attention for Robust Object Detection in Remote Sensing Imagery
Published 2025-06-01“…Deep learning methods have achieved remarkable success in remote sensing object detection. Existing object detection methods focus on integrating convolutional neural networks (CNNs) and Transformer networks to explore local and global representations to improve performance. …”
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818
Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity
Published 2025-02-01“…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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819
Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes
Published 2025-03-01“…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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820
ECONOMIC ANALYSIS AND THE STANDARD FUNCTION FOR THE PRODUCTION OF TOMATO CROP IN TERMS OF FRESH BATH OF NINEVEH PROVINCE, THE AGRICULTURAL SEASON 2011
Published 2012-01-01“…ABSTRACT Study of function productivity of tomato crop in hand, bath and fresh province of Nineveh to the season of agricultural production (2011) Rodeo random hit 25 farmers have been derived quantities best suppliers Alamloras money as they hit the amount of work the best (4) worker/ day and the amount of capital (7182.56) JD/ acres and was the ideal size of production (3351.68) kg and total production per Aledumn (2115.67) kg were selected as well as the contribution of each of the source.…”
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