Development Trend Research Articles

Digital marketing business models: Key stages, types and trends of development

The main goal of the article is to formalize the key business models of marketing of modern companies and substantiate the key stages, types and trends of development. The relevance and need to pay significant attention to the marketing digital business model when organizing a business is substantiated. Using structural and logical analysis and criticism of scientific research, the essence, advantages and disadvantages are determined, the main blocks, stages and key elements of the structure of business models of modern companies are argued. It has been proven that marketing digital business models serve as a logical and visual plan for organizing all business processes of companies from production, marketing, sales and logistics to building a hierarchy of profitability. The key development trends are substantiated and the most popular business models of business organization in modern conditions are structured on the basis of scientific generalization, structural and logical analysis and mathematical modeling. Practical significance is characterized by the fact that the marketing business models of world-class companies are generalized and structured, taking into account their specifics and characteristics. Practical recommendations and key stages of building a company’s business model and its implementation into reality have been formed to achieve strategic business goals.

Research on Photovoltaic Development in Northwestern China using Remote Sensing Images

Abstract. Photovoltaics, a clean energy source, have received widespread attention worldwide recently. Many countries are carrying out photovoltaic construction, while also compiling and analyzing their photovoltaic development status. The same goes for China. In northwestern China, a considerable number of cities lack electricity. Meanwhile, its vast plains and abundant sunlight are conducive to the construction of photovoltaics. Therefore, the northwestern China has vigorously carried out photovoltaic construction nowadays. With the support of high-resolution and multi-temporal remote sensing images, we are able to analyze the development status of photovoltaics in these regions. We chose six provinces in northwestern China as our research areas and took three steps to complete our studies. Firstly, we extracted patterns of photovoltaics using deep learning methods. Secondly, based on the patterns and national land use survey data, we calculated the distribution and development status of photovoltaics in each province. Thirdly, we present the statistical results in figures and charts, showing the photovoltaic construction status and its development trend. We finally made conclusions and discussions about our insufficiency in work and future plans for further study.

Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR

Abstract. Scholars have done a lot of research on urban settlement, but it is difficult to give consideration to the temporal and spatial attributes of settlement at the same time in its display and analysis. Most of them focused on the analysis of regional settlement, single point settlement curve and settlement rate map at a certain time, but few combined time and space for collaborative analysis. Therefore, in this paper, 32 scenes Sentinel-1B SAR data are used to obtain settlement data of Beijing via PS-InSAR method. Secondly, combined with the temporal and spatial attributes of settlement results, the subsidence law revealed by using spatio-temporal cube slicing and attribute filtering. Finally, subsidence development trend and the detection of abnormal subsidence are explored by emerging hot spots (ESH) analysis. The experimental results show that the settlement funnel center in Beijing is mainly concentrated near the junction of Chaoyang district and Tongzhou district. The settlement range tends to expand. There are several local continuous subsidence areas in the settlement oscillating area. Spatio-temporal analysis makes the development trend of urban settlement more intuitive. Emerging hotspot analysis combined with Getis-Ord Gi* statistics and Mann-Kendall trend test could more effectively analyze the settlement trend of the study area and detect new potential settlement centers, so that to provide auxiliary decision-making for urban safety early warning and city development.

Study on microbial diversity of washing machines.

Health and environmental protection are the development trend of household appliances, coupled with the impact of the COVID-19 epidemic in the past few years. Consumers have unprecedented concerns and expectations about the sterilization and disinfection functions of household appliances. As a washing and nursing equipment for household clothes, the anti-bacterial technology of washing machine has developed rapidly. The new models of washing machines in the market have basically added the function of sterilization. In order to thoroughly solve the problem of sterilization and bacteriostasis of washing machines from the source, the distribution of microbial contamination in washing machines should be fully investigated. At present, there is almost no systematic study on the microbial community structure in washing machines in China. Therefore, the purpose of this study is to analyze the bacterial community structure in Chinese household washing machines. To explore the key factors affecting the bacterial community structure of washing machines. Bacterial communities were comprehensively analyzed by high throughput sequencing. Using chao and shannon indexes as indicators, one-way ANOVA was used to explore the key factors affecting the bacterial community structure of washing machines. A total of 2,882,778 tags and 21,265 OTUs from 522 genera were sequenced from 56 washing machine samples. Genus Mycobacterium, Pseudomonas, Brevundimonas, Sphingomonas, Sphingobium, Enhydrobacter, Methylobacterium, Pseudoxanthomonas, Stenotrophomonas and Sphingopyxis were the top ten bacteria genera in abundance. The effects of sources, types, frequency of utilization, sampling locations and service life of washing machines on bacterial diversity in washing machine were systematically analyzed. The statistical analysis showed that service life was an important factor affecting bacterial diversity in washing machine. Our study lays a foundation for directional screening of characteristic microorganisms with targeted characters including malodor-producing, fouling, pathogenic and stress-resistance, the antibacterial evaluation, metabolic mechanism of key characteristic microorganisms as well as antibacterial materials development. At present, the sterilization technology of washing machines has not been fully in combination with the distribution survey of microorganisms in washing machines. According to the specific microorganism distribution condition of the washing machine, the key distribution positions and the types of specific microorganisms contained in different positions, conduct more targeted sterilization treatment. This will help to completely solve the problem of microbial growth in washing machines from the source.

Review on development prospect of operation scheduling strategies for flexible interconnected distribution network in renewable energy-penetrated power system

As the renewable energy integrates in the power system, the interactions between source, load, and storage equipment in the distribution network become frequent. The original distribution network could not meet the growing demand of the power grid. The use of controlled power electronic devices for flexible interconnection transformation of the distribution network could help improve the controllability, reliability, and safety of the power system and promote the consumption of distributed power sources. It is an important means of evolving towards future intelligent distribution networks. Typical devices for flexible interconnection are discussed of the operating characteristics. In addition, the core technologies of flexible interconnected distribution network system are introduced from the view of point of dispatching. Finally, to achieve a wider application of flexible interconnected distribution networks, the development trend is prospected.

Integrating financial literacy, regulatory technology, and decentralized finance: A new paradigm in Fintech evolution

This study investigates the implications of the interaction of financial literacy, regulatory technology, and decentralized finance applications for financial sector development. A two-step analytical regression approach on EViews 10 was used, which performs a one-factor analysis for each variable to identify the individual impact of each factor. A linear FMOLS approach was used to evaluate the cooperative effect of integration. The methodology was implemented on a dataset comprising 2,880 observations from 23 financial institutions in Jordan.The findings support the hypothesized dynamic interrelations between the essential Fintech factors relevant to the sustainable development of the financial sector, including significant and insignificant factors with the impact of inflation, which provides an adequate understanding of Fintech’s evolution. Additionally, the outcomes consider post-2017 regulatory changes that reflect the role of supervision and regulation for the financial sector’s flexibility and efficiency. Therefore, the results reveal the essential contribution of integrating decentralized finance applications, financial literacy, and regulatory technology to the development of Jordan’s financial sector. Financial literacy serves as a facilitator, regulatory technology is a compliance enabler, and decentralized finance applications are driving forces of innovation and financial inclusion, ensuring a robust and sustainable financial ecosystem. It is shown that the interaction of factors forces the sector’s development, reflecting the world’s trend in digital inclusion and viable financial development.

Low-carbon building evaluation index system based on hierarchical analysis method

Low-carbon building is an unavoidable development trend in the construction industry, especially in the critical moment of global warming, it is necessary to make a comprehensive evaluation of low-carbon buildings. At this stage, low carbon building has become an important direction in the construction field, and whether the low carbon building reaches the corresponding standards and the advantages played by the low carbon field need to be assessed with perfect evaluation indexes. Based on this, this paper constructs a low-carbon building evaluation system from the whole life cycle of the building using the hierarchical analysis method (AHP) and BP neural network method. Firstly, the definition and influencing factors of low-carbon buildings are analyzed, secondly, the evaluation index system of low-carbon buildings is constructed, and then the evaluation index system of low-carbon buildings is verified by using the hierarchical analysis method, and the results show that the evaluation results based on the hierarchical analysis and the BP neural network method are more accurate than those of the traditional hierarchical analysis method. The results show that the evaluation results based on hierarchical analysis and BP neural network are more accurate than the traditional hierarchical analysis method. It shows that the BP neural network method can effectively reduce the influence of subjective factors in the hierarchical analysis method and improve the objectivity of the evaluation results. On this basis, this paper proposes countermeasures to promote the development of low-carbon buildings, in order to provide a certain reference for the long-term development of low-carbon buildings.

Design and Analysis of a Campus Service Platform Based on WeChat Mini Program

This paper explores the design and analysis process of a campus service mini program. As known, an increasing number of mini program platforms are emerging in the market, and the unique community of schools, consisting of teachers and students, also requires a dedicated mini program to cater to their needs. This paper covers aspects such as the functional design, page layout, technical implementation, market analysis, and future planning of the mini program. Through our research, we have found that the design and development of a mini program is a complex and meticulous task, requiring thorough consideration of user needs, technical implementation capabilities, and market demands. Utilizing front-end development technologies, the mini program achieved a simple and user-friendly interface, consolidating multiple scattered platforms commonly used by users, enhancing the platform's practicality, and improving user experience. This research article provides a detailed introduction to the design philosophy, functional modules, technical implementation, and market analysis of the mini program. Additionally, the paper outlines future development trends and offers development recommendations, enabling the mini program to better face future challenges.

A review of the flow characteristics of shale oil and the microscopic mechanism of CO2 flooding by molecular dynamics simulation

Shale oil is stored in nanoscale shale reservoirs. To explore enhanced recovery, it is essential to characterize the flow of hydrocarbons in nanopores. Molecular dynamics simulation is required for high-precision and high-cost experiments related to nanoscale pores. This technology is crucial for studying the kinetic characteristics of substances at the micro- and nanoscale and has become an important research method in the field of micro-mechanism research of shale oil extraction. This paper presents the principles and methods of molecular dynamics simulation technology, summarizes common molecular models and applicable force fields for simulating shale oil flow and enhanced recovery studies, and analyzes relevant physical parameters characterizing the distribution and kinetic properties of shale oil in nanopores. The physical parameters analyzed include interaction energy, density distribution, radial distribution function, mean-square displacement, and diffusion coefficient. This text describes how molecular dynamics simulation explains the mechanism of oil driving in CO2 injection technology and the factors that influence it. It also summarizes the advantages and disadvantages of molecular dynamics simulation in CO2 injection for enhanced recovery of shale oil. Furthermore, it presents the development trend of molecular dynamics simulation in shale reservoirs. The aim is to provide theoretical support for the development of unconventional oil and gas.

Knowledge mapping of chronic insomnia: a bibliometric analysis (2000-2023).

Recently, significant scientific research breakthroughs have been witnessed in the treatment of chronic insomnia. However, it seems that there is currently no bibliometric analysis of this. Therefore, we hope to comprehensively review and analyze the scholarly system and research focus in the field of chronic insomnia treatment through bibliometric methods. Between 2000 and 2023, we explored various papers in relation to the treatment of chronic insomnia in the Web of Science Core Collection(WOSCC) database. Subsequently, the collected papers were subjected to bibliometric analysis utilizing CiteSpace, VOSviewer, and the "bibliometric" package in R language. With China and the United States(USA) among them, a total of 2937 papers were published across 49 countries. Publications related to the treatment of chronic insomnia were increasing year by year. The Laval University, Washington University, Pittsburgh University, and Stanford University were key research institutions. The journal Sleep was widely popular in the field and was also one of the most cited journals. These papers came from 148 authors, with Morin, Charles M., Roth, Thomas, Espie, Colin A., Harvey, Allison G., and Buysse, Daniel J. publishing the most papers and Morin, cm being co-cited the most. The treatment process of chronic insomnia can be divided into three main stages: drug intervention, diseases related to chronic insomnia, and cognitive behavioral therapy and mental health. Keywords such as "children and adolescents", "novel coronavirus pneumonia" (COVID-19), "mental health" and "heart failure" have become the focus of current research. We carried out a detailed bibliometric review of the development trends and research results of chronic insomnia research through this study for the first time. The information it provides reveals recent research hotspots and cutting-edge issues, providing valuable reference materials for researchers focusing on the treatment of chronic insomnia.

Exploring the Relationship between the Dynamics of the Urban–Rural Interface and Regional Development in a Post-Socialist Transition

This study offers, by an empirical analysis, another perspective on post-socialist development, highlighting the role of the urban–rural interface in regional dynamics. The current literature on the relationships between both issues is not too rich and our paper analyzes the relationships between core cities, their peri-urban areas, and their regions, through a comparative overview of their growth over the last three decades. Romania, as a special case study for a contradictory transition, due to the great step from a drastic dictatorial regime to a democracy and a market economy, is a good example to test these complex relationships. Considering the new development trend at the urban–rural interfaces, our key idea was to depict their contribution to regional development (NUTS 3) compared to city cores. The second question was how this differentiated contribution can be measured, using the simplest tool. The starting point was the fact that population dynamics reflect all changes in the city core and at the urban–rural interface, and less so at a regional level. Consequently, we selected the dynamics of the number of inhabitants for the first two, as well as the dynamics of GDP per capita at the regional level. We found higher and significant correlations between GDP per capita and urban–rural interfaces, but no significant correlations in the case of city cores. Our conclusion is that, in the transition period, the dynamics of urban–rural interfaces influenced more regional development dynamics, than those of city cores. This means that urban–rural interfaces amplify the development coming from cities, adding their own contribution and then dissipating it regionally. Future research should identify what the urban–rural interface offers to regions, in addition to the city core.

Development Trends in Selective Hydrogenation Upgrading of 5-Hydroxymethylfurfural Catalyzed by Heterogeneous Metal Catalysts

Development Trends in Selective Hydrogenation Upgrading of 5-Hydroxymethylfurfural Catalyzed by Heterogeneous Metal Catalysts

Utilization of theories in talent development: mapping the field of HRD

Purpose The process of talent development (TD) is one of the current trends in HRM and human resource development (HRD). Although scientific literature addressing the topic emphasizes that through development of talents, organizations can increase their productivity, performance and competitiveness, little is known so far concerning the development of this research field as a whole and particularly concerning theories prevailing in the area. While research into the field has been ongoing for two decades, the area has not yet been systematized based on key theories used as starting points for the research. The purpose of this paper is to focus on which theories in HRD are used in TD. Design/methodology/approach Concerning the topicality of TD, the present article provides a systematic review of literature summarizing current theories in TD based on the currently used typology of theories in HRD, adding the fourth pillar to the existing three, i.e. theories concerning adult learning and education, to increase the stability of the typology. Findings The paper argues that the area of TD prevalently uses sociological, psychological and ethical theories, which may be attributed to trends in HRD. The insufficient representation of theories of learning in TD, particularly in view of the fact that adult learning and development is the essence of TD, is an important finding. This finding is particularly important for science concerning adult learning and education. Originality/value The benefit of the presented analysis lies in a systematization of the individual theories and a comprehensive overview of the current theoretical framework of TD, as well as suggestions for future research making use of adult learning and education theories.

Ayurveda is on the Way to Open the Golden Door of Indian Tourism through Panchakarma - A Review

ABSTRACT Over the years, Ayurveda, the science of healing and regeneration, has become increasingly popular throughout the world. Numerous Ayurvedic centres are expanding nowadays, as they are one of the primary tourist attractions in the southern region. India is becoming a popular destination for medical tourism due to a number of draw factors, including easy accessibility, affordable and high-quality medical care, beautiful vacation spots, etc. The best place is in South India, which is also the nation's centre of health. The boundaries and opportunities of Ayurvedic tourism have undoubtedly expanded with the recognition of Ayurvedic healing on a national and worldwide level. With any fortunate, India will be the world's top choice for high-quality medical facilities within the next several years. Ayurveda was supposedly bestowed upon humanity by the gods to enable us to live long, healthy lives free from illness. Nearly every tribe in India swiftly embraced ayurveda, and it soon started to spread to nations like Afghanistan, China, and Iran. Panchakarma can provide a long-lasting or permanent treatment for multi-system disruptions. Panchakarma is becoming a vital component of medical travel. Therefore, the government ought to actively support the growth of Panchakarma travel. This review discusses the many facets of ayurvedic travel to India, including Panchakarma, its development, and current trends. Keywords-Ayurveda, Tourism, Panchakarma, health .

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

Research Status and Development Trend of Coal Spontaneous Combustion Fire and Prevention Technology in China: A Review

Anti-artifacts techniques for neural recording front-ends in closed-loop brain-machine interface ICs

In recent years, thanks to the development of integrated circuits, clinical medicine has witnessed significant advancements, enabling more efficient and intelligent treatment approaches. Particularly in the field of neuromedical, the utilization of brain-machine interfaces (BMI) has revolutionized the treatment of neurological diseases such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. The BMI acquires neural signals via recording circuits and analyze them to regulate neural stimulator circuits for effective neurological treatment. However, traditional BMI designs, which are often isolated, have given way to closed-loop brain-machine interfaces (CL-BMI) as a contemporary development trend. CL-BMI offers increased integration and accelerated response speed, marking a significant leap forward in neuromedicine. Nonetheless, this advancement comes with its challenges, notably the stimulation artifacts (SA) problem inherent to the structural characteristics of CL-BMI, which poses significant challenges on the neural recording front-ends (NRFE) site. This paper aims to provide a comprehensive overview of technologies addressing artifacts in the NRFE site within CL-BMI. Topics covered will include: (1) understanding and assessing artifacts; (2) exploring the impact of artifacts on traditional neural recording front-ends; (3) reviewing recent technological advancements aimed at addressing artifact-related issues; (4) summarizing and classifying the aforementioned technologies, along with an analysis of future trends.

Natural biomimetic nano-system for drug delivery in the treatment of rheumatoid arthritis: a literature review of the last 5 years

Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease characterized primarily by synovitis, leading to the destruction of articular cartilage and bone and ultimately resulting in joint deformity, loss of function, and a significant impact on patients’ quality of life. Currently, a combination of anti-rheumatic drugs, hormonal drugs, and biologics is used to mitigate disease progression. However, conventional drug therapy has limited bioavailability, and long-term use often leads to drug resistance and toxic side effects. Therefore, exploring new therapeutic approaches for RA is of great clinical importance. Nanodrug delivery systems offer promising solutions to overcome the limitations of conventional drugs. Among them, liposomes, the first nanodrug delivery system to be approved for clinical application and still widely studied, demonstrate the ability to enhance therapeutic efficacy with fewer adverse effects through passive or active targeting mechanisms. In this review, we provide a review of the research progress on the targeting mechanisms of various natural biomimetic nano-delivery systems in RA therapy. Additionally, we predict the development trends and application prospects of these systems, offering new directions for precision treatment of RA.

An Investigative Study on the Development Strategies for Electric Vehicle Enterprises

With the continuous development of science and technology, cars have become an indispensable means of transportation for human beings in daily travel. More and more cars appear in our life. In recent years, as consumer awareness of energy conservation and environmental protection has increased, global demand for sustainable development has increased, and many new energy vehicles. Because the non-renewable resources such as oil and natural gas needed by traditional fuel cars are consumed faster and faster, the exhaust emissions of traditional cars are polluting the environment increases, so new energy vehicles are the future development trend of the automobile industry. With the international context of the rapid development of new energy trams, the sales volume of electric vehicles in China's automobile market is not good. Through data analysis and industry research, the key factors and reasons affecting the development of electric vehicles are found, make certain suggestions to Chinese new energy electric vehicle companies, in order to change the current situation of low sales of new energy vehicles, the report objectively and truly analyses the future planning of the development of Chinese electric vehicle enterprises and the change of the development trend, as well as the moderate fine-tuning of the sales pricing.

Research Atlas Analysis on the Application of Huoxue Lishui Method (Promoting Blood Circulation and Diuresis) in Ophthalmology Based on VOSviewer’s and CiteSpace’s Methods

Abstract Objective: The objective of this study was to summarize the research context, hotspots, and the development trend of Huoxue lishui method in ophthalmology in the past decade by reviewing the relevant publications. Materials and Methods: Relevant publications on the application of Huoxue lishui method in ophthalmology from January 1, 2011, to December 31, 2021, in databases such as CNKI, VIP, and Wanfang were retrieved. The analysis of coauthorship, keyword co-occurrence, keyword clustering, keyword emergence, and keyword timeline map of the publications was done with bibliometrics tools CiteSpace and VOSviewer. Results: A total of 100 publications were included in the analysis. The year 2020 saw the publication of most papers concerning the application of Huoxue lishui method in ophthalmology. High-frequency words are macular edema, Huoxue lishui, diabetic macular edema, Huoxue lishui method, Huoxue lishui formula, and promoting Qi and nourishing Yin. Three research hotspots were identified through keyword clustering analysis. Keyword emergence analysis and keyword timeline map indicated that a combined treatment of Huoxue lishui method and promoting Qi and nourishing Yin and diabetic ophthalmology is predicted to be research frontiers. Conclusions: Through the use of knowledge maps, this article reveals the research status in this field in the past decade and highlights the major directions, research hotspots, and development trends, providing references for further research in this field.

Artificial Intelligence in Astronomical Optical Telescopes: Present Status and Future Perspectives

With new artificial intelligence (AI) technologies and application scenarios constantly emerging, AI technology has become widely used in astronomy and has promoted notable progress in related fields. A large number of papers have reviewed the application of AI technology in astronomy. However, relevant articles seldom mention telescope intelligence separately, and it is difficult to understand the current development status of and research hotspots in telescope intelligence from these papers. This paper combines the development history of AI technology and difficulties with critical telescope technologies, comprehensively introduces the development of and research hotspots in telescope intelligence, conducts a statistical analysis of various research directions in telescope intelligence, and defines the merits of these research directions. A variety of research directions are evaluated, and research trends in each type of telescope intelligence are indicated. Finally, according to the advantages of AI technology and trends in telescope development, potential future research hotspots in the field of telescope intelligence are given.