Current Trends In Development Research Articles

Rural tourism service design based on collaborative filtering algorithm after epidemic normalization

Abstract In the epidemic, normalized tertiary and rural tourism service industries are in the economic depression stage. Under the epidemic, combined with big data technology to improve the economic income and development scale of rural tourism services become the current development trend of the tourism industry. This paper first proposes a collaborative filtering recommendation algorithm based on big data technology to study the design of rural tourism services under the new epidemic normalization. Then the basic principle of the content-based recommendation algorithm is to obtain the interests of tourists based on their historical behaviors and recommend rural tourism similar to their interest preferences, and choosing the appropriate similarity function can improve the accuracy of the neighborhood-based CF method. Finally, to meet the tourists’ demand for a full range of tourism experience services and build a rural tourism service system, the psychological demand of rural tourism tourists’ consumption is analyzed based on a collaborative recommendation algorithm. The results show that among the main factors attracting tourists, 75.54% are natural scenery, 54.68% are folk culture, 51.08% are unique flavors and food, 43.17 are experiencing rural life, and 41.73% are promoting relationships with friends. This study plays an important role in accelerating rural revitalization by attracting urban tourists back to the countryside and driving the transfer of consumer groups and the rural economy to increase income; thus, rural tourism plays an important role in accelerating rural revitalization.

The Relationship between Rural Sustainability and Land Use: A Bibliometric Review

Faced with substantial environmental, societal, and economic challenges, the matters of rural sustainability and land use have emerged as pivotal global concerns. Amidst the rapid phenomenon of urbanization, the escalating requisites for sustenance, energy, and natural resources have engendered profound pressure upon rural landscapes and ecosystems. The attainment of sustainability within rural regions assumes a paramount role, encompassing not only the advancement of these rural domains but also holding pivotal significance in addressing critical global concerns such as climate change, biodiversity depletion, and the eradication of poverty. In order to gain a thorough understanding of the implications associated with rural sustainability and land use, this study undertakes a bibliometric analysis of 1746 articles sourced from the Web of Science database. The analysis unveils a multitude of pivotal revelations. Primarily, the domain exhibits a conspicuous trajectory of expansion in publications spanning the period from 1990 to 2023, thereby alluding to a substantial reservoir of potential for subsequent advancement. Secondly, high-frequency keywords encompass sustainability, land use, agriculture, ecosystem services, and China. Thirdly, the field encompasses four primary research directions, namely the impact of rural land use and land cover changes on biodiversity, adaptive capacity, and vulnerability in rural sustainable development; the interplay between rural land use changes and rural agricultural development; and land management for rural sustainability. Fourthly, the evolution of research hotspots focuses on three main areas: rural sustainability and biodiversity conservation and ecosystem services, rural sustainability and land management and impacts, and the impacts of climate change and human activities on rural sustainability. Finally, future research should focus on sustainable multifunctional agriculture and rural land management, continue to pay attention to the social dimensions of rural sustainability, and emphasize the role of ecosystem services and natural capital in sustainable rural development. The results of this study can provide a reference for grasping the current situation, research directions, and development trends in the field of rural sustainability and land use.

A Review on Predictive Control Technology for Switched Reluctance Motor System

The significance of employing control strategies on a switched reluctance motor (SRM) is that they can reduce vibration noise and torque ripple. With the rapid development of digital system processors, predictive control (PC), as a modern control approach, is increasingly applied to enhance the dynamic performance and operational efficiency of SRMs. This review provides a comprehensive overview of the current state of research on PC strategies of SRMs and classifies PC technologies, such as generalized predictive control (GPC), hysteresis predictive control (HPC), deadbeat predictive control (DPC), and model predictive control (MPC). It summarizes the PC schemes from the aspects of predictive current control (PCC), predictive torque control (PTC), and other PC, and it discusses the current trends in technology development, as well as potential research directions. The insights presented herein aim to facilitate further investigations into predictive control techniques for SRM.

Exploring the Current Status and Development of Condition Monitoring and Fault Diagnosis for Power Machinery of Engineering Ships

With the continuous progress of science and technology, modern engineering ships are also moving towards large-scale and high-speed development. Due to the fact that the power propulsion system is one of the most important parts of the entire ship, its operational status will directly affect navigation safety and operational efficiency, etc. Therefore, real-time monitoring of it is of great significance. Based on this, this article mainly explores the current status and development trends of condition monitoring and fault diagnosis of engineering ship power machinery, aiming to enable technical personnel to quickly and better grasp and apply these advanced technologies, and promote the healthy and sustainable development of China's shipbuilding industry.

A Survey of Side-Channel Leakage Assessment

As more threatening side-channel attacks (SCAs) are being proposed, the security of cryptographic products is seriously challenged. This has prompted both academia and industry to evaluate the security of these products. The security assessment is divided into two styles: attacking-style assessment and leakage detection-style assessment. In this paper, we will focus specifically on the leakage detection-style assessment. Firstly, we divide the assessment methods into Test Vector Leakage Assessment (TVLA) and its optimizations and summarize the shortcomings of TVLA. Secondly, we categorize the various optimization schemes for overcoming these shortcomings into three groups: statistical tool optimizations, detection process optimizations, and decision strategy optimizations. We provide concise explanations of the motivations and processes behind each scheme, as well as compare their detection efficiency. Through our work, we conclude that there is no single optimal assessment scheme that can address all shortcomings of TVLA. Finally, we summarize the purposes and conditions of all leakage detection methods and provide a detection strategy for actual leakage detection. Additionally, we discuss the current development trends in leakage detection.

Current State and Development Trends of Regulative and Methodological Support of the Activities of Nuclear-Medicine Centers

Current State and Development Trends of Regulative and Methodological Support of the Activities of Nuclear-Medicine Centers

Current Trends in Vaccine Development for Hereditary Colorectal Cancer Syndromes.

The coming of age for cancer treatment has experienced exponential growth in the last decade with the addition of immunotherapy as the fourth pillar to the fundamentals of cancer treatment-chemotherapy, surgery, and radiation-taking oncology to an astounding new frontier. In this time, rapid developments in computational biology coupled with immunology have led to the exploration of priming the host immune system through vaccination to prevent and treat certain subsets of cancer such as melanoma and hereditary colorectal cancer. By targeting the immune system through tumor-specific antigens-namely, neoantigens (neoAgs)-the future of cancer prevention may lie within arm's reach by employing neoAg vaccines as an immune-preventive modality for hereditary cancer syndromes like Lynch syndrome. In this review, we discuss the history, current trends, utilization, and future direction of neoAg-based vaccines in the setting of hereditary colorectal cancer.

The Green Dimension of a Compact City: Temperature Changes in the Urban Area of Banja Luka

Responsible and rational urban planning is reflected in an integral and multidimensional approach to city development. Contemporary theories of sustainable and resilient urban planning support a clear vision and strategy for city development, emphasizing its identity, specifics, and values. Through its vision and action plans, the city of Banja Luka protects its default identity as a green city while recognizing the current development trend toward a compact city. The paper deals with two theories: green and compact cities, both motivated by ecological and energy planning. The paper aims to show the importance of the green dimension of a compact city and the adoption of the principles of compactness in the green city in order to examine its contribution through synergistic action. Through the comparative analysis of the green structure change toward a compact urban area and temperature rise in the last fifty years and on different scales, it is possible to question the set green goals and effects of environmental urban (non) planning.

ANALYSIS OF ADMISSIONS AND MARKETING OPTIMIZATION STRATEGY OF YUNNAN VOCATIONAL COLLEGE OF ECONOMICS AND FOREIGN AFFAIRS

This research takes the Yunnan Vocational College of Economics, Trade and Foreign Affairs as the research object, and conduct in-depth study in combination with the current development trend of private education and the specific reality of the school. The background, meaning, writing methods and ideas of the topic selection are expounded in detail in the introductory part, and then the relevant theories of marketing are analyzed as well as the macro- and micro- environment faced by the Yunnan Vocational College of Economics, Trade and Foreign Affairs. The recruitment and marketing concept of the Yunnan Vocational College of Economics, Trade and Foreign Affairs are also summarized in this article. PEST and SWOT analysis are used to analyze the career of the Yunnan Economics, Trade and Foreign Affairs. The article also looks into the political environment, economic environment, social environment, and scientific environment in which the college is located, as well as the advantages, disadvantages, opportunities and challenges it faces, and the usage of relevant marketing strategies, such as market segmentation, market positioning, and selection of target markets, etc. Finally, it studies the college's admissions marketing strategy, and puts forward a series of solutions to promote the optimization of the college's marketing strategy. 

Current status, evolutionary path, and development trends of low-carbon technology innovation: a bibliometric analysis

Current status, evolutionary path, and development trends of low-carbon technology innovation: a bibliometric analysis

A Review on Corrective Feedback Research of the Recent 20 Years

Corrective Feedback is a hot topic in the field of second language acquisition in recent years. Its research is helpful for second language learners to acquire target language successfully. Based on the research results at home and abroad in the past two decades, this paper firstly analyzes the definition of Corrective Feedback, including the definition and classification of Corrective Feedback. Secondly, it introduces the research content of Corrective Feedback at home and abroad, mainly including the overall effect of Corrective Feedback on second language acquisition, the effectiveness of different classification of feedback and the four main factors affecting the effect of Corrective Feedback. Finally, the current development trend of Corrective Feedback research is summarized and concluded.

Flavonoids: Overview of Biosynthesis, Biological Activity, and Current Extraction Techniques.

Recently, increased attention has been paid to natural sources as raw materials for the development of new added-value products. Flavonoids are a large family of polyphenols which include several classes based on their basic structure: flavanones, flavones, isoflavones, flavonols, flavanols, and anthocyanins. They have a multitude of biological properties, such as anti-inflammatory, antioxidant, antiviral, antimicrobial, anticancer, cardioprotective, and neuroprotective effects. Current trends of research and development on flavonoids relate to identification, extraction, isolation, physico-chemical characterization, and their applications to health benefits. This review presents an up-to-date survey of the most recent developments in the natural flavonoid classes, the biological activity of representative flavonoids, current extraction techniques, and perspectives.

Sustainability Trends in Humanitarian Architecture Research: A Bibliometric Analysis

Despite the increasing need for Post-Disaster and Post-Conflict (PDPC) sheltering, and the rising number of humanitarian architects, there is a vague understanding of how “sustainable” shelters in PDPC situations are being addressed in the literature. Therefore, this paper aims at mapping and analyzing the current status and development trends in research that associates sustainability and shelters in PDPC situations during the past four decades (1982–2022) using a bibliometric analysis. This was fulfilled using VOSviewer to identify and visualize literature development trends, active journals, productive authors, contributing countries, influential institutions, and keyword networks. The findings identified four phases of the development process: no recognition (1982–2002), initiation (2003–2012), rapid growth (2013–2017), and accelerated growth (2018–2022). In terms of publications, the “International Journal of Disaster Risk Reduction” and “Sustainability” are the key journals publishing in the field, whereas Gibson and Habert are the most publishing authors. The United States of America was found to be the leading country in the research field, albeit Université de Montréal in Canada was the most active in terms of institutions. The study suggests the promotion of social and economic standards in addition to the environmental while developing sustainable shelter solutions. It also advises shelter professionals from both public and private sectors to improve their collaborations with all related stakeholders.

Urban population prediction based on multi-objective lioness optimization algorithm and system dynamics model

Population size is closely related to economic and social development and change. It is one of the primary and essential elements of overall urban development planning to formulate a population development strategy scientifically through population projections. Therefore, we propose an urban population prediction model based on a multi-objective lioness optimization algorithm and system dynamics. The multi-objective lioness optimization algorithm is used to optimize some critical parameters of the system dynamics model to reduce the subjectivity of the model construction. Taking Xi’an as an example, the validity of the model is verified, and the population size of Xi’an from 2019 to 2050 is predicted by the model. In addition, the impact of different policies and their combinations on the future population is discussed through simulations of three scenarios composed of five policy factors: birth, employment, science and technology, healthcare and education. The results show that the total population of Xi’an will peak at 147,939,242 in 2040, based on current development trends. Moreover, the five policies with the largest to smallest positive effect on population size are: employment policy, fertility policy, education policy, science and technology policy, and health policy, with employment and fertility policies having significantly larger effects than the other three. Therefore, the employment policy and the birth policy are the two most effective policies to promote population growth, and the coordinated implementation of the five policies is the fastest way to increase population size.

The Current Situation and Development Trend of China's Immigrant Service Industry

According to the statistics of the Exit-Entry Administration of the Ministry of Public Security, in 2013, there were 935 private entry-exit intermediaries that passed the qualification certification of the Ministry of Public Security across the country, and Guangdong, Beijing, Shandong, and Shanghai accounted for a relatively large proportion. From this we can see that the competition among immigration service companies is becoming more and more fierce. From the perspective of the total output value of the immigration service industry, in 2019 alone, the output value of the immigration service industry in the Chinese mainland market reached 60 billion yuan. For this reason, studying the evolution, status quo and development trend of China's immigration service industry has very important reference significance for both the entire industry and individual immigration service agencies.

USING SIMATIC IOT2050 TO CONTROL AND MONITOR MPS STATIONS

This paper provides a solution for upgrading the existing training equipment and updating the training content to meet the current development trends in the automation field. Through experimentation with various options, the author chose to utilize Siemens’ SIMATIC IOT2050 to upgrade the MPS system and the Classification Station within the MPS system to illustrate the implementation process of this solution. The plan was executed through a series of steps, including configuring hardware devices, designing graphical interfaces, connecting communication to read and write PLC addresses, creating animated effects and interactive events within the interface, and connecting to access the monitoring and control interface via the internet. As a result of this project, the IoT technology training equipment in the industry has been upgraded and the Classification Station is now capable of being controlled and monitored remotely over the internet.

Features of digitalization in accounting: current state and development trends

One of the most important trends in the development of accounting (including in healthcare organizations) is the increased use of digital technologies in it. The article examines the features of the use of various digital technologies in modern accounting. The digitalization of accounting is of great interest to scientists. However, different scientific works use different conceptual apparatus in relation to these issues. The author of the article presents an interpretation of the correlation of different terms in the field of questions of the use of digital technologies in accounting. The question of the possibility of replacing the accounting profession with artificial intelligence has also been studied. Based on the analysis of the characteristics of the requirements for the accounting profession, the conclusion is substantiated that artificial intelligence will be a great assistant to the accountant, but will not supplant the accountant profession.

A Review of Text Sentiment Analysis Methods and Applications

This paper reviews the application of natural language processing in sentiment analysis. Sentiment analysis is an important task aimed at automatically identifying and inferring sentiment tendencies and sentiment intensity in texts. This paper first introduces the application areas of sentiment analysis, including practical applications of text sentiment analysis. Then, text pre-processing techniques such as word separation, deactivation removal and punctuation processing are discussed. Then, feature extraction and representation methods are explored, including bag-of-words model, TF-IDF, word embedding and Word2Vec, attention mechanism and Transformer. In addition, methods for sentiment analysis, such as sentiment dictionaries and rule-based methods, traditional machine learning methods, and deep learning-based methods, are presented. Finally, the application areas of sentiment analysis are discussed and conclusions are given. The review in this paper will help readers understand the current status and development trend of natural language processing applications in sentiment analysis, as well as the advantages and disadvantages of different methods in sentiment analysis.

Current Situation and Development Trend of Urban Centralized Heating

In the context of sustainable development, countries around the world are increasingly paying attention to environmental issues. In this context, the high energy consumption and high pollution of urban heating systems have become urgent issues that need to be addressed. Promoting urban centralized heating is an inevitable choice to effectively solve these problems. The heating system is an important component of urban development, and central heating plays a crucial role in energy utilization. In order to meet the requirements of sustainable development, it is necessary to actively improve the central heating system and solve the problems of low resource utilization and high energy consumption in traditional decentralized heating methods. This can reduce air pollution and improve the overall quality of the urban environment. A comprehensive analysis of the relevant content of urban central heating systems, including understanding the existing problems and development trends, helps to formulate reasonable measures to promote the development of central heating. Promoting the development of central heating systems is an important component of urban sustainable development. By improving energy utilization efficiency, reducing dependence on traditional fossil fuels and using advanced technologies, central heating systems help to achieve the Sustainable Development Goals and improve the quality of life of urban residents. A comprehensive analysis of the current situation and development trends of urban central heating can help formulate reasonable measures to promote the development of central heating, achieve a more sustainable future, and create a sustainable urban environment.

System of normative regulation in the Russian Federation: current development trends

The article discusses the features of the development of the regulatory system in the Russian Federation at the present stage. Attention is drawn to the fact that to date the Russian Federation has not adopted a federal law that would regulate the system of regulatory legal acts in the Russian Federation. In such conditions, the development of the regulatory system is carried out in different directions. In particular, there is a tendency to expand the number of participants in the rule-making process and to change the parameters of regulation within the framework of existing types of legal acts, there is a tendency to professionalize regulatory system. As a result, the author concludes that in conditions of multiplication of sources of law, an important task of state is to maintain the regulatory system in a state that ensures, first of all, the realization of public interests of society and the state.