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This paper is to design an objective evaluation algorithm that automatically evaluates image quality and is consistent with the human visual system.In view of the fact that most traditional full reference image quality assessment methods only analyze images in the spatial domain,and have shortcomings in pooling strategies,this paper proposes a random forest based spatial-frequency domain joint feature full reference color image quality evaluation method.Firstly,this method extracts the chroma and gradient features in the spatial domain,which are used to characterize the color information and spatial structure information of images.The texture detail information of the response of the log-Gabor filter bank and spatial frequency features are extracted in the frequency domain,which are used to be joint features.Then,random forest is implemented for learning the mapping relationship between the feature vector and the subjective opinion score to predict the objective quality score.Experiments conducted on three standard databases,i.e.TID2013,TID2008,and CSIQ show that the comprehensive evaluation performance by our method is better than the state-of-the-art full reference assessment algorithms,especially on TID2013 database,the Pearson linear correlation coefficient value can reach 0.9397.

Melanoma remains a challenge due to the lack of effective and low-toxicity treatments. Litsea cubeba essential oil (LEO), known for its tyrosinase inhibitory activity, has shown promise as an anti-melanoma compound, although robust scientific evidence is lacking. We conducted GC-MS analysis to identify the major components of LEO and screened for effective components were further evaluated on A375 and HaCaT cells using the CCK-8 assay. Network pharmacology was employed to predict potential targets using PharmMapper and SwissTarget Prediction databases, with melanoma-related targets sourced from the GeneCards database. Protein–protein interaction (PPI) network was created using STRING and Cytoscape. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed through the DAVI database. Additionally, we constructed a natural product-main components-core targets-pathways-disease (NMCPD) network in Cytoscape and conducted molecular docking using PyMOL and Autodock Vina. GC-MS analysis revealed neral (cis-citral) and geranial (trans-citral) as the primary active components of LEO. Cell assays demonstrated that a citral mixture, in combination with LEO, effectively inhibited A375 cell growth with IC50 values of 35.94 ± 1.23 μM and 12.00 ± 0.96 μg/mL, while exhibiting minimal toxicity to HaCaT cells with IC50 values of 67.72 ± 2.96 μM and 22.32 ± 2.53 μg/mL. Screening identified10 hub targets among 190 common targets between drug and disease-related targets. KEGG pathway enrichment analysis suggested therapeutic effects of citral on melanoma by modulating signaling pathways. Molecular docking revealed strong binding affinity of neral and geranial with RXRA and ESR1, suggesting that citral, the principal LEO component, regulates multiple pathways for potential melanoma therapy. These findings support the potential utility of LEO as a treatment for melanoma and highlight the importance of exploring tyrosinase inhibitors for the development of novel anti-melanoma drugs. [ABSTRACT FROM AUTHOR]

Four catalysts were prepared in our previous work using the solution combustion method, incipient-wetness impregnation method, colloid mill circulating impregnation method, and hydrothermal-precipitation method, respectively, labeled as SCM, IMP, T310, and HTP. And the performance (stability) of the four catalysts for CO2 reforming of CH4 was investigated at 800 °C. In this paper, the composition and structure characteristics of the deposited carbon on the above four catalysts were tested through TEM, Raman, TPH, and TG-DTG technologies. The results showed that filamentous carbon was the primary type of carbon deposition on the catalysts, and a large amount of accumulated carbon would block the catalyst pores, affecting the catalytic performance. The carbon deposited on the catalyst prepared using the hydrothermal-precipitation method calcined at 800 °C exhibited a high degree of graphitization, and the proportion of graphitized carbon was considerable, which is harmful to the stability of the catalyst. The decarburization temperature of the deposited carbon on the four catalysts was mainly in the range of 500–700 °C. Using the Coats–Redfern model, as the reaction order was set as 1, 2, 3, 4, and 5, the decarburization activation energy ranged between 50 and 80 kJ/mol. [ABSTRACT FROM AUTHOR]

A green and general method for the direct transformation of aldehydes to nitriles was developed. This method features a broad scope of substrates including aromatic, heterocyclic, and aliphatic aldehydes, by using I2/NH4Br in aqueous ammonia. Readily available aldehydes can be smoothly converted to corresponding nitriles in one‐step under open air at room temperature for 1–12 hours. This protocol is transition‐metal‐free and could be applied for the synthesis of various key cyano (CN)‐containing molecules. [ABSTRACT FROM AUTHOR]

HLA‐C*03:597 differs from HLA‐C*03:03:01:01 by a single non‐synonymous nucleotide substitution in exon 5 (922 A>G). [ABSTRACT FROM AUTHOR]

In order to explore the effect of the mix with a high ratio of potato flour and wheat flour on noodle processing and quality evaluation, the modified potato flour, which was pre-prepared with soybean protein isolate adding and ultrasonic treatment, was used as the research target. The steady-state rheological properties of the mix with different proportions of potato flour and wheat flour, tensile properties, texture properties and sensory evaluation of steamed noodles were measured for a comprehensive evaluation. The results showed that when the proportion of potato flour reached 50%, the apparent viscosity showed the most stable with the shear rate, and the flow index value was higher than that of the other ratios. This was close to the Newtonian fluid, indicating that the addition of potato flour can reduce the flow resistance and facilitate the processing of products. The effect of ultrasonic treatment combining with soybean protein isolate played a positive role in improving the ductility, plasticity, strength and strength of raw potato flour. The texture characteristics and quality of cooked noodles of modified potato flour were generally positively reviewed. Its chewiness is lower than that of wheat flour noodles, which can provide people with a better chewing experience. It has been proved that the ratio of modified potato flour mixed with wheat flour could be increased after modifying treatment, which was beneficial to the promotion of potato being used for staple food grain.