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In the face of massive multimodal information, it has become one of the current research hotspots to categorize it according to its sentiment so as to guide users to find valuable information from a large amount of data. Based on the application of fuzzy logic in sentiment analysis, this paper designs a method to analyze sentiment tendencies in a multimodal Chinese corpus. Firstly, text, audio, and video features of the multimodal Chinese corpus are extracted, and a fuzzy sentiment dictionary is constructed. Then, the double hesitant fuzzy set is used to reduce the intensity of the sentiment, and the fuzzy sentiment value is calculated. Then, the fusion of sentiment lexicon, intuitionistic fuzzy inference, and fuzzy comprehensive evaluation model is used to obtain the final sentiment tendency analysis results. The models constructed based on different lexicons all converge after 4 epochs, indicating that the model has strong feature learning ability. After combining the sentiment lexicon, the accuracy of the model’s sentiment classification improves by 2.27%. Compared with other common sentiment classification models, the precision rate, recall rate and F1 value of this paper’s model are improved by 2.41%-6.57%, 2.36%-4.91% and 2.38%-5.58%, respectively. The result of inclination to positive in the sentiment analysis of this paper’s model is 82.3%, with a difference of only 1% from the average value of 83.3% of user evaluation, and it is better than the analysis model of plain text (80.8%), which proves that the multimodal sentiment analysis model in this paper can correctly complete the analysis of sentiment inclination of the review data. This paper provides a new feasible approach for the propensity analysis of multimodal sentiment.

Fluorine-containing greenhouse gases (F-GHGs) and ozone layer substances (ODS) are being monitored without a global commercial monitoring system. In this study, the existing commercial volatile organic compounds (VOCs) moni7 toring system is modified in hardware and optimized in methodology to provide high-precision monitoring of 33 types of ODS and F-GHGs in the atmosphere. Moreover, the system eliminates the issue of excessive costs and lengthy development cycles associated with special monitoring equipment. Pre-concentration can enhance the enrichment of low boiling point and low concentration components by increasing the injection volume, improving water removal efficiency, and improving adsorption capacity. It is significant to be noted that InertCap 624MS is a one-dimensional column, while GASPRO is a two-dimensional column. It is possible to separate 33 target compounds completely and stably by Heart-cut and TwinLine using dual-column separation and single-detector detection mode. Experimental findings indicate that this monitoring tech14 nology has an accuracy of 0.22~3.70%. To accurately observe the changing trend of atmospheric concentration and trace the emission sources over time, a background gas with a known concentration has been used as a standard gas, and background atmospheric samples with unknown concentrations have been quantitatively tested using a single-point external standard method. [ABSTRACT FROM AUTHOR]

This study investigated the use of polyurethane foam dressings to prevent local adverse reactions of subcutaneous azacitidine injection. Patients receiving a subcutaneous azacitidine injection were randomly divided into experimental and control groups. A total of 55 patients were included in each group. A polyurethane foam dressing was used to cover the injection site of patients in the experimental group. Conventional treatment was used in the control group. Injection site pain and local skin reactions were assessed after the intervention in both groups. The score and duration of pain, the incidence and duration of local skin adverse reactions, and the incidence of severe reactions in the experimental group were significantly lower than in the control group (p < 0.05). Polyurethane foam dressing can effectively reduce local adverse reactions of subcutaneous injection of azacitidine, relieve pain, shorten the duration of local pain and adverse reactions, and improve the quality of nursing. [ABSTRACT FROM AUTHOR]