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http://dx.doi.org/10.1016/0072-968x(74)90012-6 | DOI Listing |
Sci Rep
January 2025
Hydrobiology Lab, National Institute of Oceanography and Fisheries (NIOF), Cairo, Egypt.
The utilization of cyanobacteria toxin-producing blooms for metal ions adsorption has garnered significant attention over the last decade. This study investigates the efficacy of dead cells from Microcystis aeruginosa blooms, collected from agricultural drainage water reservoir, in removing of cadmium, lead, and zinc ions from aqueous solutions, and simultaneously addressing the mitigation of toxin-producing M. aeruginosa bloom.
View Article and Find Full Text PDFSci Rep
January 2025
Conservative Dentistry Department, Faculty of Dentistry, Mansoura University, Mansoura, Egypt.
This study aimed to compare the bonding efficacy three bioactive self-adhesive restorative systems to dentin. A total of 80 permanent human molars were utilized in this study. The occlusal enamel was removed to exposed mid-coronal dentin; 40 molars were used for microshear bond strength testing, while the remaining molars were used for micromorphological analysis of restoration/dentin interface.
View Article and Find Full Text PDFNano Lett
January 2025
Electron Microscopy Center, Empa - Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
The computational cost of simulating scanning transmission electron microscopy (STEM) images limits the curation of large enough data sets to train accurate and robust machine learning networks for deep feature extraction from atomically resolved STEM images. For nanoparticle size estimation in particular, a diverse data set is essential due to the large variations in size, shape, crystallinity, orientation, and dynamical diffraction effects in experimental data. To address this, we train a 3D convolutional neural network to predict STEM images from voxelized atomic models, achieving a 100x speed-up compared to traditional multislice simulations while maintaining high image quality.
View Article and Find Full Text PDFTalanta
January 2025
Department of Chemistry, Biochemistry and Environmental Protection, Faculty of Sciences, University of Novi Sad, Trg D. Obradovića 3, 21000, Novi Sad, Serbia.
The sustainable material, biochar (BC) from a hardwood source, was synthesized via pyrolysis process at 400 °C (BC400) and 700 °C (BC700) and used as a modifier during the electrochemical sensor design. The prepared BCs were characterized by scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) analysis, and elemental analysis (CHNS). The development of rapid analytical techniques for detecting pesticides employing a low-cost carbon paste electrode (CPE) modified with BC is a novel strategy to provide a sensitive response to water pollution.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Plant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box. 2460, Riyadh, 11451, Saudi Arabia.
Background: The present research work was done to evaluate the anatomical differences among selected species of the family Bignoniaceae, as limited anatomical data is available for this family in Pakistan. Bignoniaceae is a remarkable family for its various medicinal properties and anatomical characterization is an important feature for the identification and classification of plants.
Methodology: In this study, several anatomical structures were examined, including stomata type and shape, leaf epidermis shape, epidermal cell size, and the presence or absence of trichomes and crystals (e.
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