Business models transformed by digitalization in contemporary art museums and galleries

In the 21st Century, the common features of the developing digital technol- ogy are compressed information, accelerated information management, big data, multiple interaction, personalization and uninterrupted access and convergence. These features are seen as factors that accelerate access to information, reduce some communication and cost expenses economically, speed up sales and marketing, provide visibility to institutions, and increase ideas and sharing. With the effects of digital technology Contemporary art museums and galleries have experienced digitalization processes in order to maintain their existence and achieve their goals. Digitalization is not limited to being a technical application, but it is a process that transforms contem- porary art institutions as a whole, especially in communication, institution- alism, branding, marketing, finance and sustainability. Therefore, digital technology requires to be available to institutions. Being a contemporary art institution requires being intellectually and technologically renewed in institutional, managerial and communicative terms. The mission and sustain- ability of art and art institutions should be ensured in harmony with technol- ogy. Therefore, new business models have been required in the digitalization processes in art institutions and the need for changing business models will increase as technology develops. Purpose of the study: To identify the new business models of contemporary art museums and galleries, and in parallel, the features they need in human resources, and to raise awareness on this issue. In this study, the hybrid structure of new business models needed in contemporary art institutions has been revealed as a whole. In the study, it has been revealed based on the examples and the viewpoints of authorized persons that, managerial digital strategies in contemporary art museums and galleries should contain the distinction specific to art. The main result that emerged from the interviews is the hybrid structures of the new business models needed by contemporary art museums and galleries in the digital age, blended with digital technology and the knowledge of art management.

The Influence of Artificial Intelligence on Art Design in the Digital Age

With the advancement of technology represented by artificial intelligence, art creation is becoming increasingly rich, and content expression is intelligent, interactive, and data-driven, making the relationship between technology, art, and people increasingly close and bringing opportunities for the development of emerging interaction. Artificial intelligence technologies aim to perfectly replicate the human mind by enabling natural responses based on the surrounding environment, decoding emotions, and recognizing human traits within the energy range. Driven by AI technology, interactive art no longer focuses on a single audiovisual sensory experience but rather on integrated artistic expressions that are highly interactive, kinetic, and emotional, based on the study of natural human behavior and integrated senses, combined with intelligence. In this paper, we first sort out the intersection of AI technology development and interactive art expression streams on the timeline based on historical development and analyze the deconstructive relationship between the two from the macroperspective of the historical development of technology and art. First, based on the conceptual connotation, development history, technical application, and singularity outlook of AI, we identify the current characteristics and development trends of interactive art; second, based on exploring the advantages of AI technology, we propose the impact of AI on the creative thinking, creative mode, and artistic experience of interactive art and establish the paradigm of interactive art creation in the context of AI. It solves the problem that experts are unable to quickly locate the category of painters when facing different styles of unsigned digital Chinese painting images in the authenticity identification task.

Development Model of China’s Regional Economic Cooperation Based on Network Analysis and Multimedia Data Visualization

As for the problem of large amount and complex structure of network forum data, we analyze the means of data visualization and association analysis, explain the specific interpretation of association rules, explain the feelings and objectives of multimedia data visualization, and explain the corresponding technical application. This paper uses the relevant theories of new economic geography to analyze and compare China’s unique economic development. In particular, it studies the development and changes of the World Trade Organization. Through the results, it can be seen that, after China’s accession to the WTO, the industrial location coefficient shows a downward trend, and the change of economic differences is slow.

Correlation Between Occurrence Environment and the Cause of Deterioration at Ancient Earthen Ruins: A Case Study at Shenna Ruins, Qinghai, China

The earthen ruins are precious historical imprints left over from ancient human life and production, and have important cultural values. Chinese ancient ruins are widely distributed, large in number, and numerous in types. Most of the unearthed ruins are large in scale, immovable, and closely related to the surrounding environment. This paper takes the Shenna ruins as the research object, realizes the investigation of the occurrence environment of the ruins through geotechnical survey technology, and explores the reasons for the deterioration of the soil at the ruins of Shenna through the research of the correlation between the occurrence environment and typical diseases. On the basis of traditional cultural relics survey, the geological, environmental characteristics and geotechnical engineering conditions of the ruins were identified, analyzed, and evaluated through survey methods. Combined with indoor experimental analysis, it was found that the main reason for the deterioration of Shenna ruins was the migration of water and salt in the soil caused by seasonal precipitation, and combined with the geotechnical investigation results, the possibility of groundwater damage in this area is eliminated, which provides a research basis for the preventive treatment of water environment in the future protection and restoration of the Shenna ruins, and provided very useful technical application reference and research idea for such earthen ruins protection in Northwest China.

iPSC Therapy for Myocardial Infarction in Large Animal Models: Land of Hope and Dreams

Myocardial infarction is the main driver of heart failure due to ischemia and subsequent cell death, and cell-based strategies have emerged as promising therapeutic methods to replace dead tissue in cardiovascular diseases. Research in this field has been dramatically advanced by the development of laboratory-induced pluripotent stem cells (iPSCs) that harbor the capability to become any cell type. Like other experimental strategies, stem cell therapy must meet multiple requirements before reaching the clinical trial phase, and in vivo models are indispensable for ensuring the safety of such novel therapies. Specifically, translational studies in large animal models are necessary to fully evaluate the therapeutic potential of this approach; to empirically determine the optimal combination of cell types, supplementary factors, and delivery methods to maximize efficacy; and to stringently assess safety. In the present review, we summarize the main strategies employed to generate iPSCs and differentiate them into cardiomyocytes in large animal species; the most critical differences between using small versus large animal models for cardiovascular studies; and the strategies that have been pursued regarding implanted cells’ stage of differentiation, origin, and technical application.

The Application of Brain-computer Interface (BCI) based Functional Electrical Stimulation (FES)

Rehabilitation medicine has developed rapidly in recent years. Brain computer interface and functional electrical stimulation are very cutting-edge technologies in this field. Because brain computer interface provides a real-time operation platform for patients to operate their limbs according to their intention for functional electrical stimulation, the research on BCI based FES has gradually increased in recent years. This paper discusses the current development status and technical application of FES and BCI. The research status of BCI based FES is discussed, and the existing problems of various research are summarized. According to the research findings, this field is a new technology with great application prospects in the field of modern rehabilitation engineering.

The Influence of Multimedia Input Mode Based on Complex System Discrete Model on College Students’ English Ability

With the rapid development of the Internet, the amount of data increases sharply. In this network age, data have been generated, such as multimedia, social networks, and search records. Due to the generation of data, complex system discrete model technology is also widely used in all walks of life. Multimedia learning is a popular teaching mode in the world. Through the discrete model technology of the complex system, this paper deeply studies the impact of multimedia input on college students’ English ability. Because the modeling and sampling of complex systems are abstract and not fixed, approximation and control methods are adopted in discrete time, which greatly improves the reliability of the final research results. Compared with the original discrete modeling technology, this paper adds data sampling compression and assimilation technology on the basis of the original discrete modeling technology of the complex system. The results show that, by adding the technical application of controllable and observable systems, the discrete model of the whole complex system can reduce the error of the final output data. At the same time, this paper compresses and simplifies the data nodes at the microlevel. Macroscopically, it reduces the scale, especially the number of node data compression. The final result also realizes the data scale and greatly shortens the calculation time. This study has greatly improved the accuracy of the impact of multimedia on Chinese college students’ English ability in practical application.

Fine-Grained Pests Recognition Based on Truncated Probability Fusion Network via Internet of Things in Forestry and Agricultural Scenes

Accurate identification of insect pests is the key to improve crop yield and ensure quality and safety. However, under the influence of environmental conditions, the same kind of pests show obvious differences in intraclass representation, while the different kinds of pests show slight similarities. The traditional methods have been difficult to deal with fine-grained identification of pests, and their practical deployment is low. In order to solve this problem, this paper uses a variety of equipment terminals in the agricultural Internet of Things to obtain a large number of pest images and proposes a fine-grained identification model of pests based on probability fusion network FPNT. This model designs a fine-grained feature extractor based on an optimized CSPNet backbone network, mining different levels of local feature expression that can distinguish subtle differences. After the integration of the NetVLAD aggregation layer, the gated probability fusion layer gives full play to the advantages of information complementarity and confidence coupling of multi-model fusion. The comparison test shows that the PFNT model has an average recognition accuracy of 93.18% for all kinds of pests, and its performance is better than other deep-learning methods, with the average processing time drop to 61 ms, which can meet the needs of fine-grained image recognition of pests in the Internet of Things in agricultural and forestry practice, and provide technical application reference for intelligent early warning and prevention of pests.