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This work focuses on an intelligent management framework for vocal music media resources, with use of deep neural networks and web crawlers. The web driver module is used to simulate the Google browser access mode to collect and preprocess the data of the China vocal music network webpage project, and the delay code is added to solve the problem of Internet Protocol (IP) restrictions on crawling webpages. After parsing, the content of the project description is obtained and temporarily stored in the local file through the panda’s module to realize the automatic collection of project data. Membership functions of four basic types of emotions are designed. By utilizing the analytic hierarchy process, the experience and wisdom of many music experts are gathered. The weights of activity and the evoking force in determining the music emotion membership value are discussed, trying to make the membership function closer to reality. Through the application of the music emotion analysis model, the music emotion analysis technology is combined with the recommendation algorithm, and the music recommendation algorithm combined with the emotion analysis is realized. The experimental test proves that the algorithm has higher accuracy than the traditional music recommendation algorithm. [ABSTRACT FROM AUTHOR]

Currently, the importance of gas sensing is rapidly gaining recognition in a multitude of domains, including environmental conservation, security measures, food safety protocols, and medical diagnostic processes. As the requirements for these applications continue to escalate, there is a corresponding upsurge in the demand for gas sensors that can provide improved sensing performance. Metal–organic frameworks (MOFs) are among the most promising materials for sensing applications, owing to their highly tunable porous structures and exceptionally high specific surface areas. In parallel, fluorescence sensing stands out as an exceptional technique due to its ultra-high sensitivity and rapid response time. Hence, the integration of MOF-based structures with fluorescent sensing, merging a state-of-the-art sensing material with an advanced technique, has exhibited remarkable performance in detecting a spectrum of gases, encompassing both inorganic and organic species. This review commences with a detailed exposition of the operational mechanisms underlying gas sensing based on the fluorescent MOF material. It proceeds to showcase the targeted applications of this technology within the realm of gas sensing, encompassing the detection of oxygen, nitrogen oxides (NOx), sulfur oxides (SOx), and an assortment of volatile organic compounds (VOCs). The review concludes with an in-depth discussion of the future prospects and the challenges faced in the advancement of MOF-based fluorescent gas sensing technologies. [ABSTRACT FROM AUTHOR]

With the acceleration of urbanisation, the problem of water resource shortage is becoming increasingly serious. Currently, the water use situation in Chinese cities is severe and the contradiction between the supply and demand of water resources is prominent, which has become one of the main factors restricting sustainable development of cities. Traditional research on water-saving landscape design focuses mainly on the analysis of the efficiency of water resource utilisation within a single area or city. The scope of the research is limited and the research methods are individual, which cannot fully meet the current needs of sustainable urban water-saving landscape design. The improved variable scale optimisation algorithm has become an indispensable tool in modern landscape design and would play a more important role in landscape design and ecological environment protection in the future. In response to the shortcomings of traditional variable-scale optimisation algorithms in solving the optimisation problem of water-saving landscape design for ecological sustainable development, this article would use an improved variable-scale optimisation algorithm to study the water-saving landscape design for ecological sustainable development in Community X, City B, Province A. The research results indicated that there were three experts who rated the effect of the water saving landscape design of the first group of designers as good or above, accounting for 37.5 %. The number of people who rated the effectiveness of water-saving landscape design in the second group as good or higher was 8, representing 100 %. The improved variable-scale optimisation algorithm could effectively improve the application of water-saving landscape design in ecological sustainable development. [ABSTRACT FROM AUTHOR]

Thin‐film fluorescent sensors play critical roles in the gas sensing field. However, fluorescent sensing materials for practical applications are limited, because of the aggregation‐caused quenching (ACQ) effect and photobleaching. This study investigates a host–guest thin‐film fluorescence sensor by incorporating a fluorescent probe into a metal–organic framework (MOF). The fluorescent molecule Me4BOPHY‐1 acts as a recognition probe for the neurotoxin analog diethylchlorophosphite (DCP). The MOF (ZIF‐8) provides nanocavities for the confinement of guest molecules, which reduces the self‐aggregation of fluorescent molecules and pre‐enriches the target gas. By applying ZIF‐8 framework to disperse the fluorescent molecules, the ACQ effect of Me4BOPHY‐1 can be effectively overcome. The fluorescence quantum efficiency of the molecules is increased from 0.76% to 19.72%, which enables its ability for gas sensing with a fast response time of 3 s and a detection limit as low as 1.13 ppb. Besides, the MOF facilitates selectivity enhancement through the confinement effect, weakening the sensing response to the interference of HCl. Moreover, the confinement effect also ensures high photo‐stability as well as thermal stability. It can maintain fluorescence intensity under 4800 s' laser irradiation. Thus, the host–guest design strategy offers a thin‐film fluorescence gas sensor with high 3S (sensitivity, selectivity, and stability) toward neurotoxin analytes. [ABSTRACT FROM AUTHOR]