Absorption and fluorescence spectra of the chromene 3 and chromene 13 dyes are studied experimentally and by density functional theory (DFT) including vibronic structure analysis. Vertical electronic absorption spectra are also calculated with the ab initio multiconfiguration method XMC-QDTP2. The vibronic progression for the S0 → S1 electronic transition is calculated within the Franck-Condon approximation including Dushinsky effect and promoting modes are analyzed. The laser-active solid-state media with high efficiency and long operation time are created implementing the studied dyes. The results of investigation indicate that the studied compounds can be used as effective laser dyes in the red range of visible light.
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http://dx.doi.org/10.1021/acs.jpca.5b00394 | DOI Listing |
Alzheimers Dement
December 2024
Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disease and the most common form of dementia. Although AD is characterized by the accumulation of amyloid beta (Aβ) plaques and neurofibrillary tangles (NFTs), it's estimated that nearly half of AD cases might be attributed to modifiable risk factors and lifestyle-based interventions may offer promising preventative strategies to delay disease onset and progression. Polyphenolic derivatives easily found in foods like luteolin and curcumin have shown beneficial effects to counteract cognitive decline.
View Article and Find Full Text PDFBMC Med Imaging
January 2025
Department of Information, Third Affiliated Hospital of Naval Medical University, No. 225 Changhai Road, Yangpu District, 200438, Shanghai, China.
Purpose: To develop an end-to-end convolutional neural network model for analyzing hematoxylin and eosin(H&E)-stained histological images, enhancing the performance and efficiency of nuclear segmentation and classification within the digital pathology workflow.
Methods: We propose a dual-mechanism feature pyramid fusion technique that integrates nuclear segmentation and classification tasks to construct the HistoNeXt network model. HistoNeXt utilizes an encoder-decoder architecture, where the encoder, based on the advanced ConvNeXt convolutional framework, efficiently and accurately extracts multi-level abstract features from tissue images.
Crit Rev Food Sci Nutr
January 2025
Department of Food Materials and Process Design Engineering, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
Pathologica
October 2024
Biolab, PoliToBIOMed Lab, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Objective: Stain normalization is a technique used to standardize the color appearance of digital whole slide images (WSIs). This study aimed to assess the impact of digital stain normalization on prostate cancer diagnosis by pathologists.
Methods: A multi-institutional board of four pathologists evaluated 407 hematoxylin and eosin (H&E) prostate WSIs before and after stain normalization.
Mikrochim Acta
December 2024
Key Laboratory of Chemical Sensing & Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, People's Republic of China.
A novel detection technique is introduced that offers sensitive and reliable ochratoxin A (OTA) detection. The method leverages the etching of gold nanorods (AuNRs) stabilized by hexadecyl trimethyl ammonium bromide (CTAB) using the oxidized form of 3,3',5,5'-tetramethyl benzidine sulfate (TMB), creating a susceptible multicolor visual detection system for OTA. The visual detection is enabled by Mg-assisted DNAzyme catalysis combined with the catalytic hairpin assembly (CHA) signal amplification strategy.
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