Current Trends In Development Research Articles

Contemporary Oil Painting Art and Art Market in Real Life

Since the reform and opening up in the 1980s, in the context of cultural exchange between China and the West, Chinese culture, art, and ideological concepts have undergone tremendous changes. Under the influence of Western painting, the development of oil painting art has further explored and studied modernist painting. At the same time, under the influence of Western modernist painting art, Chinese oil painting art has also shown a phenomenon of a hundred flowers blooming, such as the diversification of artistic styles and the diversification of painting language types, thereby creating the birth of various new painting schools. In the context of globalized art and culture, contemporary Chinese oil painting has also begun to go global. However, the development of contemporary Chinese oil painting is still criticized by the art of easel painting and photorealistic painting. Faced with the booming art market and the diversification of evaluation standards, how to understand the current situation and trends of contemporary oil painting art development is a question worthy of our in-depth research and reflection.

The Environmental Sustainability Potential of Autonomous Vehicles: An Overview

The optimization of transportation systems and the integration of autonomous vehicles (AV) are significantly transforming urban mobility and exerting outstanding effects from an environmental perspective. This article examines the possibilities of autonomous vehicles in reducing traffic congestion, emissions, and energy consumption. The optimized driving style of AVs, dynamic route planning, and enhanced intersection systems have a profound impact on emission reduction. The article also delves into current development trends and challenges, encompassing advancements in AV sensing technologies, traffic safety, and cybersecurity. These findings collectively suggest that the deployment of autonomous vehicles brings substantial benefits to sustainable urban mobility; however, further development is necessary to support the widespread adoption of AVs and strengthen societal trust.

Formation Mechanism of Tourists’ Pro-Environmental Behavior in Wuyishan National Park, China, Based on Ecological Values

The establishment of a new type of natural protected area system with national parks as the main body is an inevitable trend of current development, and it is also an important ways to build a more beautiful China. During tourist visits, the national park will promote a variety of ways to enhance the ecological values of tourists. Ecological values can strengthen tourists’ sense of identity, but their impact on tourists’ pro-environmental behavior is not discussed. Based on this, Wuyishan National Park, a world natural and cultural heritage, is selected as the case site, and the PLS-SEM analysis method is used. An empirical test was conducted on 358 valid samples collected in the field. The results show the following: (1) tourists’ ecological values and place identity can positively affect their pro-environmental behaviors; (2) place identity plays a mediating role between ecological values and tourists’ pro-environmental behavior; (3) place dependence and place identity play a chain mediating role between ecological values and tourists’ pro-environmental behavior; (4) according to the PLS-MGA test, gender and age can play a moderating role on the influence of ecological values on pro-environmental behavior. Therefore, the managers of national parks should pay attention to the cultivation of ecological values and consider tourist attraction, as well as formulating marketing strategies and other policy suggestions according to the different characteristics of tourists. The findings of this study offer both practical guidance and a theoretical underpinning for advancing ecological tourism within the framework of natural protected areas, with national parks playing a central role.

Effect of injection compound rolling process and curdlan gel on water retention of sauced beef

Research background and significance: Under the current development trend in the field of global food science and technology, consumers' requirements for food safety, nutritional value and sensory quality are increasing, prompting the innovation of food processing and preservation technology to become the core of the industry development. In the production of traditional food spiced beef, how to ensure the yield and quality of spiced beef is the focus of the spiced beef market. By adding edible glue can gain weight, thereby improving the yield, but previous studies have shown that carrageenan, seaweed extract and so on seriously affect the sensory quality of marinated beef, especially causing its juice oozing, colloidal attachments oozing and so on. Research content: Through the systematic study of the application of curdlan gel in the processing of brine injection spiced beef, the specific effects of curdlan gel on the water retention and sensory quality of spiced beef were discussed in this study. (1) Sensory optimization injection rolling composite curing process. The experiment was carried out with beef tendinous meat and a series of auxiliary materials, using fine processes and methods, including saline injection, rolling salting, cooking treatment, etc., and then conducting sensory evaluation. (2) Compare the quality difference of curdlan gel 1 and 2. Determination of gel strength and optimization of water retention of stewed beef were carried out. Single factor ANOVA test was used to determine the optimal dosage of curdlan gel. The results showed that the water retention of beef with brine injection could be enhanced significantly when the dosage was 2%, respectively. Under the optimal process conditions, the sensory score of brined beef was 85.4 points. Through this study, important scientific and technological findings were obtained, which did not mean that the higher the concentration of curdlan gel, the better the water retention, on the contrary, the higher the concentration of its water retention would be affected but would decrease. This research not only expands the application range of curdlan gel in the food industry, but also provides new technical solutions and theoretical support for the innovation and development of meat processing technology, and meets the needs of consumers for high-quality meat products.

Bibliometric study and visualization of cellular senescence associated with osteoarthritis from 2009 to 2023.

Osteoarthritis is a common degenerative joint disease that is highly prevalent in the elderly population. Along with the occurrence of sports injuries, osteoarthritis is gradually showing a younger trend. Osteoarthritis has many causative factors, and its pathogenesis is currently unknown. Cellular senescence is a stable form of cell cycle arrest exhibited by cells in response to external stimuli and plays a role in a variety of diseases. And it is only in the last decade or so that cellular senescence has gradually become cross-linked with osteoarthritis. However, there is no comprehensive bibliometric analysis in this field. The aim of this study is to present the current status and research hotspots of cellular senescence in the field of osteoarthritis, and to predict the future trends of cellular senescence in osteoarthritis research from a bibliometric perspective. This study included 298 records of cellular senescence associated with osteoarthritis from 2009 to 2023, with data from the Web of Science Core Collection database. CiteSpace, Scimago Graphica software, VOSviewer, and the R package "bibliometrix" software were used to analyze regions, institutions, journals, authors, and keywords to predict recent trends in cellular senescence related to osteoarthritis research. The number of publications related to cellular senescence associated with osteoarthritis is increasing year by year. China and the United States contribute more than 70% of the publications and are the mainstay of research in this field. Central South University is the most active institution with the largest number of publications. International Journal of Molecular Sciences is the most popular journal in the field with the largest number of publications, while Osteoarthritis and Cartilage is the most cited journal. Loeser, Richard F. is not only the most prolific author, but also the most frequently cited author, contributing greatly to the field. In the last decade or so, this is the first bibliometric study that systematically describes the current status and development trend of research on cellular senescence associated with osteoarthritis. The study comprehensively and systematically summarizes and concludes the research hotspots and development trends, providing valuable references for researchers in this field.

Analysis of the Impact of Population Aging on the Economy and Countermeasures —— Take China as an Example

Since the reform and opening up, China's population aging has gradually deepened, and nowadays, population aging has become one of the most concerned issues for China's economic development. Therefore, the research theme of this paper is the current situation and development trend of population aging in China and specifically analyzes the impact of population aging on economic development in terms of labor supply, employment, and investment. The research methods of this paper are literature analysis and data analysis. It is found that the proportion of China's aging population in the total population is already greater than 16.7%, and it will accelerate in the future. And the rise of the aging population has different degrees of negative impacts on labor supply, employment, and investment, and has an inhibitory effect on economic development. Therefore, this paper suggests that in the face of the challenge of population aging, the state can increase the investment in human capital, encourage enterprises to innovate, and improve production performance through new technologies. Rational use of the demand generated by aging, and the development of the service industry to increase employment.

Based on the Molecular Mechanism of CiteSpace Sanqi Total Saponin and the Prevention and Treatment of Renal Fibrosis, Hot Spot Visualization Analysis

This study aims to study the current situation, hot spots and development trends of Sanqi total saponins in the prevention and treatment of renal fibrosis through a visual map, in order to provide a direction and trend for the research of traditional Chinese medicine on the prevention and treatment of renal fibrosis. Method: By using CiteSpace visualization software, the relevant literature on the use of Sanqi total saponins in the CNKI database for the treatment of renal fibrosis was visually analyzed, including posting trends, authors, institutions and keywords, and the corresponding knowledge map was generated. Results: From 2005 to 2022, a total of 1,533 documents were included in the research results. From 2008 to 2017, an average of 99 articles were published every year, accounting for 67.5% of the total number of articles published. Among them, the number of articles published in 2010 and 2013 reached 114, the highest in previous years. At the same time, Yang Min is the author who has published the most articles, with a total of 29 papers. Beijing University of Traditional Chinese Medicine is the main research institution in this field. Through cluster analysis of research hotspots, ten clusters were obtained, including rats, left ventricular reconstruction, oxidative stress, drug interaction, astragaloside, apoptosis, matrix metalloproteinase-9,oleoside, lipopolysaccharide, atherosclerosis, etc. Future research focuses include oxidative stress, autophagy process, Sanqi total saponins, inflammatory response, cell proliferation and apoptosis, and pharmacokinetics. Conclusion: The knowledge map reveals the research status and research hotspots of Sanqi total saponins in the prevention and treatment of renal fibrosis, including oxidative stress, inflammation, cell proliferation and apoptosis, which will become the focus of research on the prevention and treatment of renal fibrosis in traditional Chinese medicine in the future. However, the collaboration between research authors and scientific research institutions lacks closeness, lacks core authors, and has not yet formed an influential research organization. The depth and breadth of research need to be further enhanced.

Research and analysis on the status quo of traditional villages in Guangxi Province based on Cite-space

There are many well-preserved traditional ancient buildings in Guangxi Province, and the visualization of the academic achievements in this field can help to form a clear understanding of the current research status and development trend, so as to provide reference value for the subsequent research work. In this paper, we use Cite-space visualization software to systematically sort out 317 CNKI journals with the theme of "traditional villages in Guangxi" from the perspectives of literature characteristics and literature content, and find that: the number of published journals on the whole shows a rising trend, but is still relatively small; the academic atmosphere of mutual cooperation among journal authors is still good; the academic atmosphere of included journals is still good; the number of published journals is still small; and the number of published journals is still very small, and the academic atmosphere is still very small. The academic atmosphere among journal authors is still good; the included journals are mainly regional and ethnic, highlighting the specialization of regional nature research; the research hotspots are focused on traditional villages, rural revitalization, tourism development, urbanization and other fields, and future research should be combined with rural revitalization and rural tourism, and more consideration should be given to the development mode of rural revitalization by virtue of the characteristics of the traditional villages and the use of the tourism industry to promote rural revitalization, which is not only in line with the strategic planning of the country but also can better protect and inherit the traditional villages, but also can better protect and inherit the traditional villages. It can also better protect and inherit traditional culture.

A Survey of Cutting-edge Multimodal Sentiment Analysis

The rapid growth of the internet has reached the fourth generation, i.e., web 4.0, which supports Sentiment Analysis (SA) in many applications such as social media, marketing, risk management, healthcare, businesses, websites, data mining, e-learning, psychology, and many more. Sentiment analysis is a powerful tool for governments, businesses, and researchers to analyse users’ emotions and mental states in order to generate opinions and reviews about products, services, and daily activities. In the past years, several SA techniques based on Machine Learning (ML), Deep Learning (DL), and other soft computing approaches were proposed. However, growing data size, subjectivity, and diversity pose a significant challenge to enhancing the efficiency of existing techniques and incorporating current development trends, such as Multimodal Sentiment Analysis (MSA) and fusion techniques. With the aim of assisting the enthusiastic researcher to navigating the current trend, this article presents a comprehensive study of various literature to handle different aspects of SA, including current trends and techniques across multiple domains. In order to clarify the future prospects of MSA, this article also highlights open issues and research directions that lead to a number of unresolved challenges.

Smart Home Security Design Based on STM32 Microcontroller

This paper addresses the needs in the field of smart home security, based on STM32 microcontroller for smart home security design. Firstly, the background and research significance of smart home security are introduced, and the current situation and development trend of smart home security are briefly summarized. Then, the basic concepts and classifications of microcontrollers are introduced, and the applications and roles of microcontrollers in smart home security are elaborated. Next, the STM32 microcontroller was selected, the system hardware circuit and software program were designed, and the system was implemented and tested. Finally, the research work of this paper is summarized, problems and shortcomings are pointed out, and future research directions and prospects are discussed. Through the research and realization of this paper, the security level of smart home can be effectively improved, and make some contributions to the development of smart home.

Analysis of the Current Situation and Development Trend of Central Plains Cultural Industry Under the Perspective of "Belt and Road"

As the birthplace of Chinese civilization, the Central Plains region boasts a cultural heritage and historical tradition spanning thousands of years, The Chinese culture formed by radiating outward from the Central Plains has become an indispensable part of the current wave of world culture. Therefore, to promote Chinese culture to the world, disseminate Chinese stories, and showcase Chinese characteristics and style, it is necessary to firmly grasp the root of Central Plains culture. Meanwhile, as an important region for the development of mutually beneficial cooperation under the Belt and Road Initiative, the Central Plains region holds significant meaning for building a cultural highland for the entire country and realizing the great vision of a socialist cultural power, This poses a requirement for the exchange and dissemination of the essence of Central Plains culture and the construction of a systematic Central Plains cultural industry. Currently, the development of the Central Plains cultural industry lags behind in four dimensions: content development, cultural dissemination, integration with modern technology, and the scale of the industry, By deeply exploring the difficulties facing the development of the Central Plains cultural industry, we can predict its future development trends and further demonstrate the resilience of Chinese culture amidst the turbulence of global cultural trends.

Marine profiling lidars and their application for oceanological problems

The review focuses on research conducted using profiling (radiometric) lidars. The paper presents the current state of lidar surveying equipment, methods for processing lidar data, and describes the problems of scientific and practical interest in oceanology that can be solved using lidar sensing. The review does not cover issues related to laser bathymetry, spectral (Raman) and spaceborne lidars, as they are separate specific fields. The main focus is on recent research in profiling lidar field. Summary tables of the technical characteristics of several of the most interesting airborne and shipborne lidars are provided. Their design features are discussed. Results from using lidars to determine near-surface hydrooptical characteristics, including employing polarization lidars and recently developed high-resolution spectral lidars, are presented. Findings from observing thin scattering layers across various aquatic regions are shown. The paper explores theoretical studies on lidar images of internal waves and experimental observations of internal waves in waters with different hydrooptical stratification. Lidars' application in addressing fisheries-related issues is examined. An overview of current development trends and future research directions is provided.

Current trends in digital twin development, maintenance, and operation: an interview study

Digital twins (DTs) are often defined as a pairing of a physical entity and a corresponding virtual entity (VE), mimicking certain aspects of the former depending on the use-case. In recent years, this concept has facilitated numerous use-cases ranging from design to validation and predictive maintenance of large and small high-tech systems. Various heterogeneous cross-domain models are essential for such systems, and model-driven engineering plays a pivotal role in the design, development, and maintenance of these models. We believe models and model-driven engineering play a similarly crucial role in the context of a VE of a DT. Due to the rapidly growing popularity of DTs and their use in diverse domains and use-cases, the methodologies, tools, and practices for designing, developing, and maintaining the corresponding VEs differ vastly. To better understand these differences and similarities, we performed a semi-structured interview research with 19 professionals from industry and academia who are closely associated with different lifecycle stages of digital twins. In this paper, we present our analysis and findings from this study, which is based on seven research questions. In general, we identified an overall lack of uniformity in terms of the understanding of digital twins and used tools, techniques, and methodologies for the development and maintenance of the corresponding VEs. Furthermore, considering that digital twins are software intensive systems, we recognize a significant growth potential for adopting more software engineering practices, processes, and expertise in various stages of a digital twin’s lifecycle.

Microfluidic preparation of surfactant-free ultrafine DAAF with tunable particle size for insensitive initiator explosives

High purity and ultrafine DAAF (u-DAAF) is an emerging insensitive charge in initiators. Although there are many ways to obtain u-DAAF, developing a preparation method with stable operation, accurate control, good quality consistency, equipment miniaturization, and minimum manpower is an inevitable requirement to adapt to the current social technology development trend. Here reported is the microfluidic preparation of u-DAAF with tunable particle size by a passive swirling microreactor. Under the guidance of recrystallization growth kinetics and mixing behavior of fluids in the swirling microreactor, the key parameters (liquid flow rate, explosive concentration and crystallization temperature) were screened and optimized through screening experiments. Under the condition that no surfactant is added and only experimental parameters are controlled, the particle size of recrystallized DAAF can be adjusted from 98 nm to 785 nm, and the corresponding specific surface area is 8.45 m2·g−1 to 1.33 m2·g−1. In addition, the preparation method has good batch stability, high yield (90.8%–92.6%) and high purity (99.0%–99.4%), indicating a high practical application potential. Electric explosion derived flyer initiation tests demonstrate that the u-DAAF shows an initiation sensitivity much lower than that of the raw DAAF, and comparable to that of the refined DAAF by conventional spraying crystallization method. This study provides an efficient method to fabricate u-DAAF with narrow particle size distribution and high reproducibility as well as a theoretical reference for fabrication of other ultrafine explosives.

Carbon Emission Optimization of Ultra-High-Performance Concrete Using Machine Learning Methods.

Due to its exceptional qualities, ultra-high-performance concrete (UHPC) has recently become one of the hottest research areas, although the material's significant carbon emissions go against the current development trend. In order to lower the carbon emissions of UHPC, this study suggests a machine learning-based strategy for optimizing the mix proportion of UHPC. To accomplish this, an artificial neural network (ANN) is initially applied to develop a prediction model for the compressive strength and slump flow of UHPC. Then, a genetic algorithm (GA) is employed to reduce the carbon emissions of UHPC while taking into account the strength, slump flow, component content, component proportion, and absolute volume of UHPC as constraint conditions. The outcome is then supported by the results of the experiments. In comparison to the experimental results, the research findings show that the ANN model has excellent prediction accuracy with an error of less than 10%. The carbon emissions of UHPC are decreased to 688 kg/m3 after GA optimization, and the effect of optimization is substantial. The machine learning (ML) model can provide theoretical support for the optimization of various aspects of UHPC.

A cold chain logistics distribution optimization model: Beijing-Tianjin-Hebei region low-carbon site selection

PurposeThis study reduces carbon emission in logistics distribution to realize the low-carbon site optimization for a cold chain logistics distribution center problem.Design/methodology/approachThis study involves cooling, commodity damage and carbon emissions and establishes the site selection model of low-carbon cold chain logistics distribution center aiming at minimizing total cost, and grey wolf optimization algorithm is used to improve the artificial fish swarm algorithm to solve a cold chain logistics distribution center problem.FindingsThe optimization results and stability of the improved algorithm are significantly improved and compared with other intelligent algorithms. The result is confirmed to use the Beijing-Tianjin-Hebei region site selection. This study reduces composite cost of cold chain logistics and reduces damage to environment to provide a new idea for developing cold chain logistics.Originality/valueThis study contributes to propose an optimization model of low-carbon cold chain logistics site by considering various factors affecting cold chain products and converting carbon emissions into costs. Prior studies are lacking to take carbon emissions into account in the logistics process. The main trend of current economic development is low-carbon and the logistics distribution is an energy consumption and high carbon emissions.

Optimal site selection strategies for urban parks green spaces under the joint perspective of spatial equity and social equity.

Urban park green spaces (UPGS) are a crucial element of social public resources closely related to the health and well-being of urban residents, and issues of equity have always been a focal point of concern. This study takes the downtown area of Nanchang as an example and uses more accurate point of interest (POI) and area of interest (AOI) data as analysis sources. The improved Gaussian two-step floating catchment area (G2SFCA) and spatial autocorrelation models are then used to assess the spatial and social equity in the study area, and the results of the two assessments were coupled to determine the optimization objective using the community as the smallest unit. Finally, the assessment results are combined with the k-means algorithm and particle swarm algorithm (PSO) to propose practical optimization strategies with the objectives of minimum walking distance and maximum fairness. The results indicate (1) There are significant differences in UPGS accessibility among residents with different walking distances, with the more densely populated Old Town and Honggu Tan areas having lower average accessibility and being the main areas of hidden blindness, while the fringe areas in the northern and south-western parts of the city are the main areas of visible blindness. (2) Overall, the UPGS accessibility in Nanchang City exhibits a spatial pattern of decreasing from the east, south, and west to the center. Nanchang City is in transition towards improving spatial and social equity while achieving basic regional equity. (3) There is a spatial positive correlation between socioeconomic level and UPGS accessibility, reflecting certain social inequity. (4) Based on the above research results, the UPGS layout optimization scheme was proposed, 29 new UPGS locations and regions were identified, and the overall accessibility was improved by 2.76. The research methodology and framework can be used as a tool to identify the underserved areas of UPGS and optimize the spatial and social equity of UPGS, which is in line with the current trend of urban development in the world and provides a scientific basis for urban infrastructure planning and spatial resource allocation.

ПЕРСПЕКТИВЫ ЭКОНОМИЧЕСКОГО РОСТА: ПЕДАГОГИЧЕСКИЕ ПОДХОДЫ К ОСВЕЩЕНИЮ ДАННОГО НАПРАВЛЕНИЯ В ВУЗАХ

The paper examines the prospects for economic growth and various pedagogical approaches to highlighting this issue in universities. The author analyzes current trends in economic development and suggests teaching methods and strategies that contribute to the formation of students' competencies necessary for effective participation in stimulating economic growth. In addition, the key aspects of integrating theory and practice into the educational process are discussed, including the use of case methods, project work and simulation games. The results of the study can be useful for teachers and university leaders in the development and improvement of educational programs aimed at training specialists who can effectively interact with the modern economic environment.

Spatio-temporal prediction of groundwater vulnerability based on CNN-LSTM model with self-attention mechanism: A case study in Hetao Plain, northern China

Located in northern China, the Hetao Plain is an important agro-economic zone and population centre. The deterioration of local groundwater quality has had a serious impact on human health and economic development. Nowadays, the groundwater vulnerability assessment (GVA) has become an essential task to identify the current status and development trend of groundwater quality. In this study, the Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) models are integrated to realize the spatio-temporal prediction of regional groundwater vulnerability by introducing the Self-attention mechanism. The study firstly builds the CNN-LSTM model with self-attention (SA) mechanism and evaluates the prediction accuracy of the model for groundwater vulnerability compared to other common machine learning models such as Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). The results indicate that the CNN-LSTM model outperforms these models, demonstrating its significance in groundwater vulnerability assessment. It can be posited that the predictions indicate an increased risk of groundwater vulnerability in the study area over the coming years. This increase can be attributed to the synergistic impact of global climate anomalies and intensified local human activities. Moreover, the overall groundwater vulnerability risk in the entire region has increased, evident from both the notably high value and standard deviation. This suggests that the spatial variability of groundwater vulnerability in the area is expected to expand in the future due to the sustained progression of climate change and human activities. The model can be optimized for diverse applications across regional environmental assessment, pollution prediction, and risk statistics. This study holds particular significance for ecological protection and groundwater resource management.

The analysis of modern macroeconomic environment in Kazakhstan: the influence of macroeconomic environment on economic behavior

The macroeconomic policy of the state is the main lever supporting the growth of the country’s economy, creating favorable conditions for introducing various industry enterprises based on economic integration associations and cooperation of the participating countries.The article offers an analysis of the modern macroeconomic environment and its impact on the economic behavior of Kazakhstan’s population, which emphasizes the important guidelines of the economy.The article examines the investment climate, conducts a comprehensive analysis of the macroeconomic environment’s factors that affect the economic consciousness of the population, and examines corruption indices that measure the level of corruption perception in the country’s public sector. Various economic factors and their impact on the economic environment are disclosed and processed for analysis. For analyzing the current macroeconomic situation in Kazakhstan, it is necessary to have a reliable source on the dynamics of macroeconomic indicators of the country’s economic development, as well as to identify current development trends. In the course of the work, a PEST analysis of macroeconomic environment’s factors affecting the Kazakhstani population’s economic consciousness was carried out, which allowed us to draw a positive conclusion that the macroeconomic environment is the state of the country's economy, a complex of internal and external factors, conditions, indicators affecting the economic behavior of subjects. During the PEST analysis of the factors of the macroeconomic environment, political, technological and socio-cultural factors affecting the economic consciousness of the population are shown. Not only the state, enterprises or individuals control the microeconomic environment, there are factors that have an indirect impact on the current state and development of the country or enterprise.