Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.14219/jada.archive.1964.0271 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A prediction model for electrical strength of gaseous medium based on molecular reactivity descriptors and machine learning method.
J Mol Model
January 2025
Hubei Key Laboratory·for High-Efficiency-Utilization of Solar Energy and Operation, Control of Energy-Storage System, Hubei-University of Technology, Wuhan, 430068, China.
Context: Ionization and adsorption in gas discharge are similar to electrophilic and nucleophilic reactions. The molecular descriptors characterizing reactions such as electrostatic potential descriptors are useful in predicting the electrical strength of environmentally friendly gases. In this study, descriptors of 73 molecules are employed for correlation analysis with electrical strength.
View Article and Find Full Text PDFA magneto-controlled microfluidic device for voltammetric immunoassay of carbohydrate antigen-125 with silver-polypyrrole nanotags.
Anal Methods
September 2020
College of Life Sciences, Fujian Normal University, Fuzhou 350117, Fujian, China.
An innovative magnetic immunoassay was developed for the voltammetric detection of carbohydrate antigen-125 (CA-125) on a home-made microfluidic device including a multisyringe pump, selection valve and magneto-controlled detection cell. Two kinds of biofunctionalized nanostructures including anti-CA-125 capture antibody-conjugated magnetic beads and anti-CA-125 detection antibody-labeled silver-polypyrrole (Ag-PPy) nanohybrids were utilized for a sandwiched immunoreaction in the presence of CA-125. With the help of an external magnet, the formed magnetic immunocomplexes were attached to the sensing interface to activate the electrical contact between Ag-PPy nanohybrids and the base electrode, thus resulting in the switching on of the sensor circuit for the generation of voltammetric signals thanks to electroactive Ag-PPy nanohybrids.
View Article and Find Full Text PDFLoad-Shifting Strategies for Cost-Effective Emission Reductions at Wastewater Facilities.
Environ Sci Technol
January 2025
Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, California 94305, United States.
Significant hourly variation in the carbon intensity of electricity supplied to wastewater facilities introduces an opportunity to lower emissions by shifting the timing of their energy demand. This shift could be accomplished by storing wastewater, biogas from sludge digestion, or electricity from on-site biogas generation. However, the life cycle emissions and cost implications of these options are not clear.
View Article and Find Full Text PDFPortable devices for periodic monitoring of bioelectrical impedance along meridian pathways in healthy individuals.
Biomed Eng Online
January 2025
Department of Cardiovascular Surgery, Division of Cardiovascular Medicine, The Sixth Medical Center, Chinese PLA General Hospital, No.6 of Fucheng Road, Haidian District, Beijing, 100853, China.
Objective: This study aims to investigate the monthly variation patterns of bioelectrical impedance (BEI) along 24 meridian pathways in healthy individuals.
Methods: A cohort of 684 healthy middle-aged participants from North China was enrolled between July 1, 2017, and September 5, 2020. BEI measurements were consistently recorded along the 24 meridian pathways over the study period.
Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke.
Sci Rep
January 2025
DeepClue Inc., Deajeon, Republic of Korea.
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!