Trend Of Social Development Research Articles

Birth rates of the Buryatian and Russian population of the Buryat Autonomous Soviet Socialist Republic in the 1960s: trends and specifics

The main purpose of the paper is to identify the specifics of demographic modernization on the example of the Russian and Buryatian population in the Buryat Autonomous Soviet Socialistic Republic in the late 1950s-1960s. It is necessary to point that the demographic process among the Buryats started much later than among the Russians, around the end of the 1940s. It followed the Japanese-Mexican model, according to which at the first stage of transition, parallel to decrease of mortality, the rates of birth temporarily increase, as confirmed by statistical data. The transition to the second stage started in the second half of the 1960s. At the same time, the third stage started among the Russian population as in the RSFSR on the whole, although with some delay. The specifics of the demographic development of the peoples under consideration can be found as a result of the analysis of the birth rates that were essentially higher among the Buryats than among the Russians during the period under review. The Buryats had the high level of birth rates due to domination of the traditional life styles, economic activity, social structure, and due to low development of urbanization. The article shows that such a trend of social development was characteristic of all peoples and countries that were at the beginning of demographic transit. Industrialization changed a lot in the traditional way of life and also made impact not only on the economy or culture, but also on the demographic transit. At first, mortality decreased and then birth rates dropped that resulted in lower data for several historical stages. Nevertheless, the new type of reproduction among the peoples of the USSR went in different ways that had an impact on their population dynamics. To sum up, the specifics of demographic development of the peoples under research were reflected in the birth rates of urban and suburban population.

Analysis of the Dual Impact of Digital Economy on Urban-rural Income Gap

The rapid development and widespread application of modern information technology has moved human society into the “digital age”. If the agricultural and the industrial economy are stages already experienced by mankind, the digital economy is emerging as a new trend and new form in global economic and social development. The digital economy has reshaped and will continue to reshape various fields and relationships of economic activities, bringing extensive, profound and lasting impact on the economic system. In this context, this paper summarizes the connotation and characteristics of the digital economy, and attempts to demonstrate its dual effect on reducing or expanding urban-rural income gap.

KUALITAS MANUSIA MENUJU SATU ABAD GEREJA PROTESTAN MALUKU

Church renewal needs that the ministry of the church must influence human beings as subjects of the church. This paper aims to provide thoughts on how the correlation between human quality and service planning for the Protestant Church of Maluku (GPM) approaches the One Century of GPM in 2035. Church service planning becomes quality, relevant and contextual, and can be implemented, only when the church prepares the church's human resources properly and quality. The Protestant Church of Maluku approaching one century needs to continuously improve and evaluate itself adaptively, improve its quality pro-actively, in facing various geographical challenges, environmental challenges as well as trends in social, community, and religious change and development. The dimension of human quality correlates well with service planning, as well as with the challenges and problems faced, but also with the nature of the church as a religious organization. Therefore, it is important to map the problems that are being and will be faced in the approach of a century of planning for GPM services. Mapping this problem must be with the aim of achieving idealism while remaining realistic, as a form of GPM growth mindset, growing in faith. At least GPM must pay attention to issues that may become collective reflection, as part of effective service planning for the human quality of GPM, namely: issues of religious life, improvement of the quality of democracy, arrangement of planning in harmony with strengthening human resources, and three serious challenges church is disruption, ecology, and emotion. Thus GPM reflects on the journey of a century of calling for GPM on the land of Maluku and North Maluku

Research on the Creative Communication Mode of Advertising under the New Media Perspective

With the continuous development of new media technology and the increasing number of audiences, the effect of new media advertising gradually exceeds the advertisements published in traditional media such as newspapers, television, radio, magazines, etc. Under the influence of the new media era, the way advertising art is disseminated has also undergone tremendous changes. It is necessary to keep up with the pace of the times and make the advertising model close to the taste of the masses. This article first introduces the characteristics of advertising mode in the era of new media. Under the influence of new media, the advertising industry must make changes and enhance innovation, so as to effectively conform to the trend of social development, achieve the established development goals, and enhance the core competitiveness of the advertising market. How to adapt to the advertising environment of new media and survive in the new media environment has become a major difficulty facing the advertising industry. Advertising practitioners must explore the expression of new media advertising creativity in order to maximize the dissemination of advertising information. Advertising creative designers need more attempts to enhance creative interactivity, create a creative cultural atmosphere, and improve creative quality.

Deep Learning for Intelligent Assessment of Financial Investment Risk Prediction.

Financial investment promotes the market's fast economic growth and gradually becomes a new trend of social development in the contemporary era. From the national level, financial risk investment activities directly affect the development process of the information technology industry and social and economic benefits. The management of financial risk investment has received more attention, and the types and difficulties of risks are also gradually increasing. Financial regulatory agencies urgently need to establish a sensitive and scientific economic hazard early alarm system. The perfect earlier alarm system stands based on in-depth scientific theoretical research, so studying financial security evaluation and systemic economic earlier alarm systems is of great practical significance. Taking the systemic financial risk as the research object, this paper analyzes the mechanism of financial systemic risk. After that, deep learning technology in financial investment has been used for the first time to reconstruct the index system of financial security evaluation and early warning. The application of deep learning technology in the early warning of systemic financial risks is realized, which provides a reliable basis for the regulatory authorities to build a financial risk early warning system and makes empirical research.

Strategies of Using Multimedia Technology to Optimize Music Classroom Teaching in Primary and Secondary Schools

Information technology has entered every aspect of life. The music classroom is no exception for training music talents. The development of information technology has become an inevitable trend of social development. Not only the call of the era of computer multimedia teaching but also the music curriculum standard under the background of quality education has put forward high requirements for today’s computers. From this, we can realize that it is crucial to transform teaching concepts, actively practice and explore, and seek new teaching models. As the main auxiliary teaching method, multimedia technology is known and used by most primary and secondary schools, and is widely used in music classroom teaching. This paper deeply analyzes the role and position of multimedia in music teaching in junior high school music classroom teaching, compares multimedia technology with other educational technology means, and explains the advantages and limitations of the implementation of music classroom teaching assisted by multimedia educational technology means. At the same time, this paper turns the cognitive problem of selective attention into the problem of measuring the auditory attractiveness of objectively existing music parts. The specific process is as follows: first, on the CQT spectrum of real music audio, this paper uses the auditory cognitive model based on auditory saliency, and uses the Bayesian inference mechanism of time series to propose the calculation method of quantitative features of auditory saliency. Then, TANN network is used to identify multiple auditory significant subbands as candidate semitones, and a priori knowledge obtained from the generalized chord structure is introduced to standardize the chord like structure at each time in the candidate melody stream, which improves the accuracy of the melody stream’s description of the original music. Finally, according to the data analysis of teaching practice, the teaching objectives of “order” and “circulation” in social and natural life have been well realized through “rhythm” insight in this teaching practice unit.

A Study on the Application of HRMIS for Enterprises in Tibet

Informatization is a major trend in economic and social development all over the world nowadays. Human resource management urgently needs to use modern means to achieve a fast and efficient management mode. This paper takes service enterprises in China’s Tibet Autonomous Region as the research object, firstly analyzes the current development status and the shortcomings in the current HRMIS in China’s Tibet Autonomous Region, then proposes where the key problems of HRM research in enterprises in China’s Tibet Autonomous Region lie, and finally, through the system composition of HRMIS and the functional design of HRMIS, concludes that the HRMIS of information technology management system is a powerful means to improve the efficiency and level of enterprise human resource management, and HRMIS will also become the main development trend of future enterprise human resource management to adapt to the development of the times and environmental changes.

콜라보레이션에 적용된 이모티콘의 IP(Intellectual Property) 효과에 관한 연구

In the trend of social and economic development centered on digitalization, emoticons are widely used in SNS as various customized expressions. Internet emoticons are developing into commercial image IPs, and famous brands are constantly collaborating with emoticons in high topicality. The purpose of the study is to examine the theoretical background of emoticons, to understand the trend of IPization of emoticons, and to present the IP effect of emoticons applied to collaboration in an empirical case analysis method. The range of the study was centered on 5 representative emoticons online. The research method used literature research, market research, comparative analysis of strengths and weaknesses, and survey method. As a result, emoticon IP which is worth developing will have two key features: external visual form and internal emotion. Through the familialization of IP in emoticons, interactive content expansion are possible. Through collaboration with other brands as cross border, IP expands the space for survival as a symbol. So I hope that many studies on the IP effect of emoticons at the time of collaboration will be conducted.

Современный социум в свете социальной гетерологии

The article highlights the idea of the need to move to a heterological paradigm of social research, relevant to the picture of modern society, which is fundamentally different from the classical one and even opposes it. New ideological guidelines, the key postulates of which are based on modern civilizational challenges, are inexorably replacing modernist worldview guidelines with a belief in the rationality of the social order in the ontological and axiological senses, holistic ideals under the sign of metaphysics. The course of social development has changed the usual social schemes, opposing and destroying, deconstructing them. Increasing factors of dehumanization, pan-mythologization, relativity, subjectivism, irrationalism, chance and uncertainty were revealed in social development. The picture of modern society is scattered, torn, many-sided, diverse, individualized by streams of autonomous processes and human wills. The social world has become different, requiring the latest cognitive thinking, a fundamentally new epistemology. The post-non-classical sociophilosophical discourse is caused by a crisis of traditional systemicity, classical spiritual guidelines, reductionist scientization of reality in a metaphysical project. However, this is not about opposing social paradigms, but about supplementing them in the study of various sections of social reality, solving certain types of tasks and scales. If the task is to trace the general, global trend of social development, one can rightfully apply the classical paradigm. Human-dimensional tactics of social cognition are needed to understand the singular aspects of human life, the “living tissue” of social processes, which is necessary in the conditions of the rapid, intense flows of modernity fraught with social cataclysms.

Sustainable supply chain partner selection and order allocation: A hybrid fuzzy PL-TODIM based MCGDM approach

Sustainability, as a trend of social development and the embodiment of corporate social responsibility, has begun to receive more attention. To achieve this goal, sustainable supplier selection (SSS) and order allocation (OA) are seen as the crucial activities in corporate management. In the process of SSS, the psychological behavior of decision-makers (DMs) could play a critical role in the evaluation results. Therefore, introducing it into the decision-making process may lead to decision in line with the actual situation. In the uncertain multi-criteria group decision-making (MCGDM) problem described by probability linguistic term sets (PLTS), the DMs can evaluate the criteria of each supplier based on his own preference and hesitation, which is useful to avoid the loss of information. For this reason, this study develops a novel multi-criteria group decision-making combined with fuzzy multi-objective optimization (MCGDM-FMOO) model for SSS/OA problems by considering the triple bottom line (TBL) in which includes economic, environmental and social factors. The proposed method includes four stages. (1) the best-worst method (BWM) and entropy weight method are utilized to assign the weights of criteria to obtain the comprehensive weight. According to the output weights, the an acronym for interactive and multi-criteria decision-making in Portugese (TODIM) approach is applied to rank the suppliers under PLTS environment; (2) a FMOO model that can effectively deal with uncertainties and dynamic nature of parameter is formulated for allocating optimal order quantities; (3) two novel approaches are utilized to solve the FMOO model in order to obtain the richer Pareto frontier; and (4) the final OA solution is achieved by technique for order preference by similarity to ideal solution (TOPSIS) method. Finally, the validity and practicability of proposed MCGDM-FMOO model are verified by an example and comparative analysis with other classical MCGDM methods.

SEM Based Study on the Influencing Factors of the Integration of China’s Smart Elderly Care Industry Chain

Purpose – At present, the problem of old-age security is becoming more and more prominent, and smart elderly care has become a trend in social elderly care development. However, there is relatively little research on industry chain integration, and research combining “smart elderly care” and “industry chain integration” is even more absent, although the theory of industry chain integration has put forward valuable ideas. The theory of industry chain integration should be combined with smart elderly care to carry out research and analysis on different perspectives of the industry chain, so as to promote the construction of smart elderly care industry chain integration and lay the foundation for the further research of smart elderly care industry chain integration.
 Design/Methodology/Approach – Firstly, this study’s descriptive, factor, reliability, and validity analysis, as well as the establishment and verification of structural equations, were carried out for the obtained data using SPSS statistical analysis software and AMOS. Then, the descriptive analysis processes the basic information of interviewees, and the reliability and validity of the scale are tested. In this process, principal components were extracted through factor analysis to modify the model, and a path analysis of the factors and other analyses were carried out through the establishment of structural equations to obtain the final research results.
 Findings – The results show that there are problems with the current demand patterns of the aging group, the operation of smart elderly care enterprises, the service modes of the smart elderly care industry and the elderly care service environment, which limit the integration of the smart elderly care industry chain to a certain extent.
 Research Implications – The prior research suffers from two types of problems, mainly focusing on qualitative analysis, a lack of empirical research, no clarification of the logical relationship between various perspectives, and a lack of variables and model systems. Therefore, the value of this study is to use structural equation modeling (SEM) to construct the factors influencing the integration of the smart elderly care industry chain and carry out an empirical study on the influencing factors.

The Judicial Practice of Artificial Intelligence and the Multi-Gradient Impact on the Legal Profession

At present, with the rapid development of artificial intelligence technology, all industries are facing huge impacts and challenges. The entry of artificial intelligence into the judicial field has also become an unstoppable trend in social development. This paper analyzes and discusses the judicial practice of artificial intelligence, divides the existing legal profession into five echelons according to professionalism and substitutability, and analyzes the possibility and specific reasons for the profession to be replaced by artificial intelligence according to the characteristics of each echelon and the metric examples of substitutability. This paper aims to provide some references for the future study, employment and development direction of those who are interested in law.

Socioeconomic Development Trend Prediction Model and Research Which is Based on Deep Neural Network

In recent years, my country’s economic development has entered a new stage, and economic development has entered a new height. Gross Domestic Product (GDP) is the most important and commonly used measure to evaluate social and economic development. It can comprehensively reflect the operating conditions of the economy. At the 2014 APEC summit, Xi Jinping focused on the characteristics of the new normal of China’s economy. The economic growth has undergone major changes, and the economic structure has become more and more complete and has been continuously optimized. Therefore, the driving force of innovation plays an important role in the future social and economic development. The high-tech demonstration zone is the main hub of my country’s economic innovation and scientific and technological progress, and the development of the high-tech demonstration zone is particularly important in the development of the innovative economy. By predicting the economic growth, the development structure can be adjusted in time, and the coordinated allocation of resources can be achieved, which is conducive to the stable and rapid development of the economy. Therefore, it is very necessary to predict my country’s economic growth. At present, more and more scholars have invested more energy in the establishment of economic forecasting models. Previously, the prediction effect of traditional models was not satisfactory. At present, the field of target camera machine learning has been transferred. The application of the powerful nonlinear fitting ability of the machine learning model can improve the prediction effect. Based on this, this paper studies the use of artificial neural network with improved BP algorithm to predict social and economic development, and analyzes social and economic development trends and changing laws. The results show that the forecasting model constructed in this paper has a good forecasting effect, and the research results can provide a theoretical basis for scientifically formulating macro-control policies.

Classification Method of Emotional Characteristics of Vocal Singing under Multicultural Values

In today’s world economic integration development, the development of cultural pluralism and diversity has become a major trend of social development in this era. In the process of development of the times, China’s vocal singing is constantly adapting to and meeting the growing and changing aesthetic needs of people, while also constantly seeking its own perfection and development and releasing its unique artistic tension. Accordingly, the author explores the inheritance and development of China’s vocal singing from the background of multiculturalism, explores the main characteristics of China’s vocal singing through an in-depth interpretation of the concept of multiculturalism, analyzes and studies the emotional characteristics of vocal singing from the perspective of multiculturalism, and constructs an effective classification method for vocal singing under the value of multiculturalism, in order to bring enlightenment to promote the better development of China’s vocal singing The purpose is to bring enlightenment for the better development of vocal singing in China.

Multidimensional Impact of Urbanization Process on Regional Net CO2 Emissions: Taking the Yangtze River Economic Belt as an Example

Urbanization is a powerful symbol and an inevitable human economic and social development trend. This process affects carbon dioxide emissions by changing the human output and lifestyle and encroaches over the carbon sink areas by adjusting the land use types impacting the regional carbon balance. We systematically analyzed the influence of urbanization on regional net CO2 emissions (NCE) and built a quantitative model for the impact of urbanization on NCE based on population, economy, and land use. Based on this, the Yangtze River Economic Belt (YREB) in China has been selected as an example to measure the characteristics of the spatial and temporal evolution of NCE from 2005 to 2018 by empirically testing the contributions of population urbanization, economic urbanization, and land urbanization to the NCE changes in YREB. According to the study’s findings, the carbon-neutral pressure index of the YREB increased over the study period, with an increase in NCE from 1706.50 Mt to 3106.05 Mt. The contribution of urbanization in this process increased and subsequently decreased in an inverted U pattern with a drop in the cumulative net emission of 260.32 Mt. The inflection points of the cumulative impact of urbanization on NCE in the midstream and upstream regions occurred in 2011 and 2010, respectively. Due to the high degree of urbanization and economic growth in the downstream area, the urbanization impact demonstrated a constant reduction of NCE over the research period. In terms of sub-dimensions, the population and land urbanization effects were consistently positive, while the economic urbanization affected the NCE and displayed an inverted U pattern during the study period. If the variation in regional carbon sink space is ignored, the impact of urbanization on CO2 emission reduction will be overestimated. We investigated the realization path of differentiated synergistic emission reduction strategies in the great river economic belts based on the empirical study on YREB.

“Faster, Higher, Stronger – Together”?: the Crisis of the World Sports Movement in the Context of the Pandemic and the Problem of Racism

In recent years, sport reflects the most painful trends in social development, economics, culture, and international politics.Major international sporting events of the summer 2021 reveal, according to authors, the crisis of Olympism and degradation of the ideological and philosophical basis of professional sport, which is an important element of international relations undergoing a noticeable transformation under the influence of the coronavirus pandemic and the exacerbation of racist traumas of the past.The study is based on social constructivism, it uses elements of critical discourse analysis and comparative analysis. European Football Championship and Olympic Games in Tokyo 2021, FIFA 2022 qualifiers show some politically motivated refereeing, as well as bursts of racism on the part of individual participants. The principle of “political correctness” widespread in the West makes it difficult to discuss and deal with historical and colonial traumas, as well as with the crisis in the values of “fair play” in professional sports, caused by its commercialization and politicization.The article concludes that the observed facts stem, among other things, from the revival of the Black Lives Matter movement in the spring of 2020, which spread beyond the borders of the United States, the formation and expansion of the “cancel culture”, as well as the growing influence of social networks and media on world public opinion. The coronavirus pandemic, announced in the spring of 2020, has exacerbated old national problems, and brought to the fore new phenomena in world sports.

ГЕНЕЗА МЕНТОРСТВА ЯК ІСТОРИЧНОГО ЯВИЩА

The article focuses on current trends in economic, political and social development, that generate multi-vector changes in value systems and all social groups, among which a special place is taken up for children and youth, whereas it is very difficult for them to acquire new knowledge and form the necessary competencies and activities without mentoring within the digitalized world. The author of the article considers the historical aspects of the emergence of mentoring in the social and pedagogical spheres. The definition of the category and related definitions of mentoring on the basis of interpretations of Ukrainian and foreign scholars such as I. Sydorchuk, N. Havryliv, Z. Bondarenko, T. Bochkarova, I. Hychan, S. Ikonnikova, А. Reiman, J. Stockdale, L. Tillman etc are studied. It is established that in the times of Kyivan Rus’ mentoring was reflected in folk art and written language, life and works of prominent Kyivan kings Volodymyr the Great, Yaroslav the Wise, Volodymyr Monomakh. Modern pedagogical practice appeals to the historical achievements of the Ukrainian people and passes on their experience to future generations. It is determined that the historical achievements of the Ukrainian people are now translated into the Law of Ukraine «On General Secondary Education», which focuses on the introduction of a mentor for young professionals who during the first year of work must undergo a pedagogical internship with the support of an experienced teacher-mentor. It is established that today the education system of Ukraine continues to create a holistic system of scientific, methodological and mentoring support: open competitions, training of mentors through educational programs. The experience of training mentors within the programs «School of Mentors», «School 3.0» is analyzed. It is noted that the main tasks of training mentors are: support and development of leadership skills of specialists in terms of educational autonomy, the formation of a modern teacher who can accept the new challenges of the time. Key words: mentoring, mentor, education system, Regulations on mentoring.

Assessment of freight traffic flows and harmful emissions in euro-mediterranean context: scenario analyses based on a gravity model

Maritime transport contributes significantly to environmental pollution. The Mediterranean Sea Area is particularly affected by marine emissions from particulate matter, black carbon, nitrogen oxides and sulphur oxides. In addition to international and crossing traffic, the Mediterranean Sea is affected by the freight flows moved between its shores (in the North–South direction and vice versa), but also by transverse freight flows (East–West); these are freights transported through Short Sea Shipping. The Mediterranean Sea is the area where there is the highest concentration of short sea shipping in the EU-27. There are different types of Short Sea transport: container and bulk handling, general cargo ships and Ro-Ro transport. In such scenario, the analysis of trade flows as well as their spatial and geographical distribution, becomes fundamental. The paper proposes a gravity model for estimating trade flows, considering 18 countries boarding the Euro-Mediterranean Sea, in 2019. The proposed gravity model assumes that one of the main factors affecting trade is the economic dimension of a country which is directly related to the volume of imports and exports. In the paper, after a literature review on the gravity models, the illustration of the different phases investigation and construction of the database (specification, calibration and validation) to the definition and implementation of the proposed model is proposed. Scenario analyses are therefore proposed for assessing the environmental impacts generated by maritime transport in the Mediterranean basin as the freight flows vary. The analyses are carried out using a simulation approach which, starting from hypotheses on the economic and social development trends of the countries of the southern shore, made it possible to evaluate the variations in terms of freight flows and environmental impacts in terms of pollution.

Research on Consumption Prediction of Daily Necessities Based on Combination Model and Its Influence on Upgrading of Industrial Structure

The development of big data and artificial intelligence ensures the industrial innovation of traditional commodities. Economic transformation and upgrading has become the general trend of social development. Based on the public data of the Rossmann store, a well-known German chain store, and the consumption prediction model of daily necessities based on random forest and GBRT is proposed in this paper. By combining the model to initialize residuals, not only the training speed of the model is effectively improved but also more accurate prediction is obtained. Based on the analysis of the big data, this paper puts forward the influence of daily necessities consumption forecast on the upgrading of industrial structure and constructs a value creation and transmission system for daily necessities, so as to promote the rationalization level of the consumer industrial structure and provide a reference for the upgrading of the same type of commodity industrial structure.

Study on Internal Traffic Organization Modes for Underground Parking Systems in the Urban Central Business District

As a result of urban land shortage and saturation, the development and construction of underground parking have become an inevitable trend of current social development. This paper describes both the concept and construction necessity of underground parking system by analyzing the current status of the parking situation in urban central business district (CBD). According to several case studies for the building of underground parking system around the world, four different layouts such as ridge-like, ring, radial, and network for underground parking systems are proposed. The internal channel of an underground parking system consists of primary and secondary channels and the internal channel setting of the underground parking system is directly related to the organization of the internal traffic flow. The setting of underground vehicle lanes and underground parking units in the system is considered to determine the internal traffic organization of four layout modes of an underground parking system. The findings of this research provide both theoretical and technical support for the planning and design of underground parking system.