Exploring the innovative development mode of digitalization of China’s intangible cultural heritage, the study focuses on applying and improving the traditional entropy value method in the digital ...evaluation of intangible cultural heritage, and is dedicated to enhancing the dissemination effect and public cognition of intangible cultural heritage. The study first standardizes the data, including the extreme value processing method, z-score standardization method, etc., and then applies the improved entropy value method for comprehensive evaluation. This paper’s improved entropy value method focuses on the Nature of the evaluation indexes, making the index data more genuinely reflect the relationship between the original values. The study results show that the index of understanding non-heritage culture through the Internet channel is 0.6, significantly higher than other channels. The user experience score of non-heritage culture after digitization increased from 2.48 to 4.43, indicating that digitization technology significantly improved the user experience of non-heritage culture. In addition, digitization technology enhanced NRM cultural heritage’s aesthetic, novelty and social communication. Digitization technology effectively enhances the communication effect and public perception of ICH.
With the development of society, the importance of physical education for college students is becoming increasingly prominent. However, traditional methods for evaluating the quality of physical ...education teaching have subjectivity and shortcomings, and computer technology needs to be introduced to improve the objectivity and accuracy of the evaluation. This paper proposes a light image enhancement algorithm based on reinforcement learning to improve the quality evaluation of college students’ physical education. Reinforcement learning algorithm is used to learn the optimization strategy of optical image enhancement. Firstly, through the observation of a large number of image samples and the analysis of image features, an evaluation model based on optical characteristics is established. Then deep reinforcement learning method is used to learn the optimal light image enhancement strategy through interaction with the environment. Based on the evaluation model and analysis results, evaluate the quality of physical education teaching for college students. The method of association rules was used to associate the teacher’s information with the teaching process. By analyzing the connection between teachers’ personal information and the teaching process, the system can provide targeted feedback to help teachers better carry out teaching work.
Hepatitis C, a particularly dangerous form of viral hepatitis caused by hepatitis C virus (HCV) infection, is a major socio-economic and public health problem. Due to the rapid development of deep ...learning, it has become a common practice to apply deep learning to the healthcare industry to improve the effectiveness and accuracy of disease identification. In order to improve the effectiveness and accuracy of hepatitis C detection, this study proposes an improved denoising autoencoder (IDAE) and applies it to hepatitis C disease detection. Conventional denoising autoencoder introduces random noise at the input layer of the encoder. However, due to the presence of these features, encoders that directly add random noise may mask certain intrinsic properties of the data, making it challenging to learn deeper features. In this study, the problem of data information loss in traditional denoising autoencoding is addressed by incorporating the concept of residual neural networks into an enhanced denoising autoencoder. In our experimental study, we applied this enhanced denoising autoencoder to the open-source Hepatitis C dataset and the results showed significant results in feature extraction. While existing baseline machine learning methods have less than 90% accuracy and integrated algorithms and traditional autoencoders have only 95% correctness, the improved IDAE achieves 99% accuracy in the downstream hepatitis C classification task, which is a 9% improvement over a single algorithm, and a nearly 4% improvement over integrated algorithms and other autoencoders. The above results demonstrate that IDAE can effectively capture key disease features and improve the accuracy of disease prediction in hepatitis C data. This indicates that IDAE has the potential to be widely used in the detection and management of hepatitis C and similar diseases, especially in the development of early warning systems, progression prediction and personalised treatment strategies.
We herein report the preparation of solid and salt‐stabilized silylzinc pivalates from the corresponding silyllithium reagents via transmetalation with Zn(OPiv)2. These resulting organosilylzinc ...pivalates show enhanced air and moisture stability and unique reactivity in the silylative difunctionalization of alkenes. Thus, a practical chelation‐assisted nickel‐catalyzed regioselective alkyl and benzylsilylation of alkenes has been developed, which provides an easy method to access alkyl silanes with broad substrate scope and wide functional group compatibility. Kinetic experiments highlight that the OPiv‐coordination is crucial to improve the reactivity of silylzinc pivalates. Furthermore, late‐stage functionalizations of druglike molecules and versatile modifications of the products illustrate the synthetical utility of this protocol.
A new type of salt‐stabilized solid silylzinc pivalate prepared from the silyllithium reagents via transmetalation with Zn(OPiv)2 is reported. These silylzinc pivalates showed enhanced air and moisture stability and unique reactivity in the nickel‐catalyzed regioselective alkyl and benzylsilylation of alkenes. Kinetic experiments highlighted the crucial involvement of OPiv‐coordination in improving the reactivity of silylzinc pivalates.
Immunotherapy against cancer, through immune checkpoint inhibitors targeting the programmed cell death‐1/programmed cell death‐ligand 1 axis, is particularly successful in tumors by relieving the ...immune escape. However, interindividual responses to immunotherapy are often heterogeneous. Therefore, it is essential to screen out predictive tumor biomarkers. In this study, we analyzed the commensal microbiota in stool samples and paired sputum samples from 75 metastatic non‐small‐cell lung cancer (NSCLC) patients at baseline and during treatment with immune checkpoint inhibitors. Results showed distinct microbes’ signatures between the gut microbiota and paired respiratory microbiota. The alpha diversity between the gut and respiratory microbiota was uncorrelated, and only the gut microbiota alpha diversity was associated with anti‐programmed cell death‐1 response. Higher gut microbiota alpha diversity indicated better response and more prolonged progression‐free survival. Comparison of bacterial communities between responders and nonresponders showed some favorable/unfavorable microbes enriched in responders/nonresponders, indicating that commensal microbiota had potential predictive value for the response to immune checkpoint inhibitors. Generally, some rare low abundance gut microbes and high abundance respiratory microbes lead to discrepancies in microbial composition between responders and nonresponders. A significant positive correlation was observed between the abundance of Streptococcus and CD8+ T cells. These results highlighted the intimate relationship between commensal microbiota and the response to immunotherapy in NSCLC patients. Gut microbiota and respiratory microbiota are promising biomarkers to screen suitable candidates who are likely to benefit from immune checkpoint inhibitor‐based immunotherapy.
The alpha diversity between the gut and respiratory microbiota was uncorrelated, and only the gut microbiota alpha diversity was associated with anti‐programmed cell death‐1 response and progression‐free survival. Comparison of bacterial communities between responders and nonresponders showed some favorable/unfavorable microbes enriched in responders/nonresponders, indicating that commensal microbiota had potential predictive value for the response to immune checkpoint inhibitors. Gut microbiota and respiratory microbiota are promising biomarkers to screen suitable candidates who are likely to benefit from immune checkpoint inhibitor‐based immunotherapy.
TiO2 bilayer films with a normal surface (Ns-TiO2), surface defects (Sd-TiO2), and interface defects (Id-TiO2) were successfully prepared by a combination of cold plasma treatment (CPT) and sol−gel ...dip-coating technology. The photodegradation of rhodamine B (RhB) over these as-prepared TiO2 films was investigated via UV−vis irradiation. Results indicate that the three kinds of films exhibit very different photodegradation processes for RhB. A mainly N-deethylation reaction over the Ns-TiO2 films, whereas an efficient degradation (cycloreversion) of RhB occurs over the Sd-TiO2 films. In the RhB/Id-TiO2 system, however, efficient N-deethylation concomitant with the highly efficient cycloreversion of RhB is observed. The efficiency of the complete mineralization of RhB dye follows the order of Id-TiO2 > Sd-TiO2 > Ns-TiO2. It is proposed that the defect sites at the surface or the interface of TiO2 films promote the separation of photogenerated electron−holes, leading to a higher photoactivity of defective TiO2 films. Moreover, the higher stability over Id-TiO2 as compared to Sd-TiO2 indicates that the interface defect sites in TiO2 could be applied in environmental photocatalysis.
CuS hollow spheres were quickly synthesized under mild conditions with spherical aggregates of Cu2O nanoparticles as sacrificial templates. The mechanism involved in the synthesis process has been ...studied using transmission electron microscopy, high-resolution transmission electron microscopy, scanning electron microscopy, X-ray diffraction, thermal gravimetry, and Fourier transform infrared spectra. The results show that the formation of loose aggregates of Cu2O nanoparticles is the key to the fast synthesis of hollow spheres at low temperature. The thickness of the shell can be controlled easily by adjusting the aggregation degree of the Cu2O nanoparticles.
Well dispersed Cu2O hollow microspheres consisted of Cu2O nanoparticles were quickly synthesized in aqueous solution at room temperature (25 °C) with polyvinylpyrrolidone (PVP) as surfactant. The ...influences of the reaction time, PVP amount and pH value of NaOH solution were studied. The formation mechanism of Cu2O hollow spheres is that, with the modification and steric effect of PVP molecules, Cu2O nanoparticles aggregate to form loose aggregations and then quickly transform to hollow spheres through Ostwald ripening. Formation of loose aggregations is the key to the fast synthesis of hollow spheres at low temperature. The application of Cu2O hollow microspheres in DNA biosensor was also investigated. The hollow Cu2O microspheres greatly enhance the immobilization of the DNA probe on the electrode surface and improve the sensitivity of DNA biosensors.
Display omitted
► Bi2Sn2O7 is a promising photocatalyst for As(III) oxidation under visible-light. ► O2− and h+ are recognized to be the main active species in As(III) oxidization. ► A band-gap model ...is proposed to explain the generation mechanism of active species.
Nanocrystalline Bi2Sn2O7, a visible-light photocatalyst synthesized via a facile hydrothermal route, is used to remove arsenite from aqueous solution for the first time. The as-synthesized Bi2Sn2O7 product is characterized by X-ray diffraction, N2 sorption–desorption, UV–vis diffuse reflectance spectroscopy, transmission electron microscopy, electron spin resonance, X-ray photoelectron spectra, and electrochemistry technology. The results reveal that the sample has an average particle size of approximately 10nm, a specific surface area of 51.3m2/g, and a band gap of 2.88eV. Moreover, the Bi2Sn2O7 nanoparticles exhibit a high photocatalytic activity in the oxidation of As(III) (up to 96.8%) under visible-light irradiation. O2− and h+ are recognized as the primary active species responsible for As(III) oxidation. Meanwhile, a possible mechanism for the photo-oxidation of As(III) over Bi2Sn2O7 is also proposed.
Facile formation of carbon-heteroatom bonds is a long-standing objective in synthetic organic chemistry. However, direct cross-coupling with readily accessible alkenyl acetates via inert C‒O ...bond-cleavage for the carbon-heteroatom bond construction remains challenging. Here we report a practical preparation of stereoselective tri- and tetrasubstituted alkenyl silanes and stannanes by performing cobalt-catalyzed C‒O silylation and stannylation of alkenyl acetates using silylzinc pivalate and stannylzinc chloride as the nucleophiles. This protocol features a complete control of chemoselectivity, stereoselectivity, as well as excellent functional group compatibility. The resulting alkenyl silanes and stannanes show high reactivities in arylation and alkenylation by Hiyama and Stille reactions. The synthetic utility is further illustrated by the facile late-stage modifications of natural products and drug-like molecules. Mechanistic studies suggest that the reaction might involve a chelation-assisted oxidative insertion of cobalt species to C‒O bond. We anticipate that our findings should prove instrumental for potential applications of this technology to organic syntheses and drug discoveries in medicinal chemistry.
PDF
