Macro Perspective Research Articles

Intervensi Sosial Untuk Remaja Pengguna TikTok

The high need for the use of technology for teenagers causes them to often spend their time accessing social media. The TikTok application is one of the social media platforms that is accessed and even teenagers make TikTok a place to find identity and self-identity to be recognized by the community of other TikTok users. Social intervention is a form of service that can be provided by counselors to adolescents who cannot filter and limit themselves from the negative impacts of using the TikTok application. Adolescent social interventions will be viewed from a micro, mezzo and macro perspective. So what is expected is that the development of adolescents is properly fulfilled in accordance with the values and norms that apply in society. This article uses literature study as its method.

Strategies of Foreign Cultural Communication and Multicultural Coexistence on New Media Platforms The Research based on the Videos of Overseas Student Uploaders on Bilibili

With the development of the multiculturalism, paying attention to the characteristics of foreign cultural dissemination and the coexistence strategy of Chinese and foreign cultures has a certain importance for the effective export of Chinese culture in the new media era.This study takes the seven most influential overseas student uploaders on the new media platform bilibili and the videos they created as the research objects, summarizes the content and characteristics of the videos through a combination of quantitative analysis and qualitative observation, analyzes the effect of foreign cultural communication on the bilibili platform, and takes this as an example to explore the development strategy of foreign cultural communication and multicultural coexistence on the new media platform from a macro perspective. The study found that based on three advantages of "innovative perspective brought by unique role positioning", "accurate grasp of audience's curiosity", and "integration of foreign culture and Chinese culture", overseas student uploaders have transcended the self-perceived role of general foreign culture communicators and regarded themselves as executors of the integration and coexistence of Chinese and Western cultures. At the same time, if a culture wants to use new media platforms to gain recognition and widespread communication in foreign countries, communicators should grasp current international popular news and cultural symbols, build emotional resonance in multicultural communication, and enhance practical innovation in communication contents and forms. Only when communicators actively eliminate prejudices and oppositions between cultures and build bridges for cross-cultural exchanges, can the coexistence and development of multi-culture become more comprehensive and vivid.

Evaluation of High-Temperature and Antireflection Cracking Performance of Warm Mixed Recycled Asphalt Mixture

To study the influence of temperature and reclaimed asphalt pavement (RAP) content (0%, 30%, 50%, and 70%) on the high-temperature performance and anti-reflection cracking performance of warm-mix recycled asphalt mixture, triaxial repeated creep tests and overlay tests (OT) based on digital image correlation technology (DIC) were used to analyze the high temperature and anti-reflection cracking performance of recycled asphalt mixtures. Based on the improved Burgers model, a permanent deformation (PD) model was established to evaluate the high-temperature performance of recycled asphalt mixtures. The anti-reflection cracking performance of recycled asphalt was quantitatively analyzed from macro and meso perspectives by using a macro index (load loss rate) and a meso index (vertical strain density DE). In addition, a reflection cracking damage model was developed by cumulative load loss rate relative change rate, and the fractal characteristics of reflection cracks were studied according to the fractal theory. The results show that with an increase in RAP content, the anti-deformation ability of a recycled asphalt mixture is enhanced, and the anti-reflection cracking performance becomes worse. However, with an increase in temperature, the anti-deformation ability of recycled asphalt mixture is weakened, and the anti-reflection cracking performance is enhanced. A PD mechanical model can well describe the high-temperature deformation resistance of recycled asphalt mixtures. The established reflection cracking damage model has high fitting accuracy and accurately describes the reflection cracking damage evolution process of recycled asphalt mixture. In addition, the analysis of the fractal characteristics of reflection cracks shows that the reflection cracks of a recycled asphalt mixture have fractal characteristics of statistical significance. DIC technology can be used to evaluate the anti-reflection cracking performance of recycled asphalt mixtures qualitatively and quantitatively from the mesoscopic perspective, which makes up for the current deficiency in macroscopic evaluation.

Macro investigation on China's engineering insurance industry: based on industrial organization theories

PurposeIn China, engineering insurance has been questioned as not being beneficial as expected. This paper seeks to further understand how China's engineering insurance industry functions and to provide a macro perspective explanation for engineering insurance's underdevelopment.Design/methodology/approachThree industrial organization hypotheses were extended to the engineering insurance context: structure conduct performance (SCP), relative market power (RMP) and efficiency structure (ES) hypotheses. This paper employed the Generalized Method of Moments (GMM) and Data Envelopment Analysis (DEA) bootstrap to test the hypotheses using panel data from 2008 to 2017.FindingsThe results suggest that the SCP paradigm is validated in China's engineering insurance market, indicating a concentrated market where the welfare of consumers (e.g. owners, contractors and designers) may be eroded. Several factors are identified to have significant impacts on engineering insurers' performance, such as the investment return, percentage of engineering business, the ratio of outstanding claims, the number of large contractors, market rivalry and entry barriers.Originality/valueDespite the sheer size of China's construction industry and the urgent need to improve risk management, the insurance industry that serves construction firms engineering insurance is underdeveloped. Engineering insurance is yet to be understood from a macro perspective, which may reveal the underlying reasons for engineering insurance's underdevelopment. The industrial organization theories provided a theoretical framework to test the functioning of this specific industry. The disaggregated data (engineering line specific) is employed to ensure effective regulation and policymaking.

Survey of Technology in Network Security Situation Awareness

Network security situation awareness (NSSA) is an integral part of cybersecurity defense, and it is essential for cybersecurity managers to respond to increasingly sophisticated cyber threats. Different from traditional security measures, NSSA can identify the behavior of various activities in the network and conduct intent understanding and impact assessment from a macro perspective so as to provide reasonable decision support, predicting the development trend of network security. It is a means to analyze the network security quantitatively. Although NSSA has received extensive attention and exploration, there is a lack of comprehensive reviews of the related technologies. This paper presents a state-of-the-art study on NSSA that can help bridge the current research status and future large-scale application. First, the paper provides a concise introduction to NSSA, highlighting its development process. Then, the paper focuses on the research progress of key technologies in recent years. We further discuss the classic use cases of NSSA. Finally, the survey details various challenges and potential research directions related to NSSA.

The dynamic effects of religion: An exploration of religiosity influences on Islamic work ethic over time

As a country with the biggest Muslim population in the world, Indonesia is a fascinating avenue to conduct studies about Muslim behavior, including in the workplace context. The present study focuses on exploring religiosity’s effect on Islamic work ethic (IWE). Using the 5th and the 7th waves of World Values Survey (WVS) data, in total this study processes 2474 Indonesian Muslim respondents’ data. Among the notable findings is that religiosity has a dynamic effect on IWE. Religiosity is found to positively and significantly influence IWE in the 5th wave (2006) but the significant influence is no longer found in the 7th wave (2018). The authors argue that globalization, secularism, and the new way Muslims learn their religion may be the source of these dynamics. While religiosity does not influence IWE in contemporary times, the authors propose national culture and macroeconomic factors as the prospective factors driving individuals’ IWE. The present study is arguably among the first studies to comprehensively explore IWE as a multidimensional construct, involving both micro (individual-as being represented by religiosity) and macro (societal) perspectives to bring about IWE’s discourses. Additionally, the time-series data this study employed also offer a rich discussion on how religiosity influences (or does not influence) individuals’ IWE.

Research on creep and thermal stability of asphalt under outdoor aging (NEA) in Tibetan areas

In order to explore the aging performance attenuation mechanism of 90# and SBS (styrene–butadiene–styrene block copolymer) modified asphalt under the large temperature difference and strong ultraviolet radiation in the Tibetan area, this paper adopts the outdoor natural exposure aging (NEA) condition in the Tibetan area. Scanning calorimetry and thermogravimetric analysis techniques were used to test and analyse the permanent deformation resistance and thermal stability of two asphalts with different aging times (0 month (0M), April (4M) and 8 months (8M)) to study the on-site aging mechanism of asphalt in Tibetan areas. The results show that with the prolongation of NEA time, the non-recoverable creep compliance, polymer area and glass transition temperature of the two asphalts decrease, while the average recovery rate and deformation temperature increase, and the aging degree gradually deepens. Under the special outdoor conditions in Tibetan areas, the permanent deformation resistance and thermal stability of SBS modified asphalt are better than 90# asphalt. The research results explored the aging and decay mechanism of the two asphalts from the macro and micro perspectives, which provided theoretical support for the research and development of anti-aging technology in Tibetan areas and guaranteeing the road performance of asphalt pavement in the whole life cycle.

Study on mechanical properties and energy change of rock materials in whole splitting process based on peridynamics

Aiming to bypass the inability to directly observe the evolution process of rock internal deformation and fracture, this paper proposes that rock samples with different inclination angles can be analyzed from the standpoint of energy, using the bond-base peridynamic theory and the PMB model of brittle materials, combined with laboratory experiments. The whole process of shearing is analyzed, and the LAMMPS software is used to simulate the internal energy change of rock-like materials under shear conditions, while the damage evolution law of samples with different dip angles is studied from macro and micro perspectives. The result shows that prefabricated cracks and the inclination of cracks are important factors for specimen damage, a finding that has important theoretical value for rock mechanics research. The research results can reduce the occurrence of rock burst accidents, the difficulty of mine support, and the cost of mining engineering, as well as improve mine safety levels.

Technology Companies Acquiring Game Companies: Evidence from Microsoft's Acquisition of Activision Blizzard

With the rapid development of the game industry and the continuous advancement of technology, the game industry has experienced various kinds of mergers and acquisitions cases one after another. Contemporarily, many companies try to optimize their strategic layout in the metaverse industry. This paper chooses the acquiring of Blizzard by Microsoft as a specific example to investigate the acquisition of game companies by technology companies. Primarily, the acquisition parties and the acquisition information in the case are introduced from macro and micro perspectives respectively. In addition, this article analyzes and predicts the performance of the acquisition from market, financial and risk perspectives. Finally, it summarizes conclusions of the study and makes recommendations to address the problems. According to the analysis, the forecast for this acquisition is basically positive, which is beneficial to Microsoft's development in the game industry and metaverse. Meanwhile, there are also risks in various aspects (e.g., information asymmetry, culture and management risks), which can be reduced by strengthening the research and integrating the management mode. These results shed light on guiding further exploration of similar M&A cases.

An ontology-based probabilistic framework for comprehensive seismic risk evaluation of subway stations by combining Monte Carlo simulation

The development of subways is currently at its peak and underground structures including subway stations are being constructed on a large scale. However, previous research on seismic risk evaluation of underground structures mainly focuses on the analysis of influencing factors and seismic fragility. There is a lack of research on comprehensive automated seismic risk evaluation from a macro perspective based on economic losses, casualties, disaster relief costs and post-earthquake recovery time etc. The emergence of semantic web technologies provides an effective way for multi-objective automated seismic risk evaluation of subway stations. This paper aims to develop a framework for comprehensive seismic risk evaluation of subway stations based on Monte Carlo simulation and ontology theory. In the developed framework, the seismic risk probabilities of subway stations are determined using Monte Carlo simulation. Taking economic losses, casualties, disaster relief costs and post-earthquake recovery time as indicators, an ontology-based model for seismic risk evaluation of subway stations is then developed by combining the knowledge base and the semantic web rules to achieve automated evaluations. A case study is also conducted to demonstrate the practicability of the proposed framework and further validate the semantic web rule language and the semantic query-enhanced web rule language

Financial reforms and innovation: A micro–macro perspective

We develop a horizontal R&D growth model to investigate the different channels through which financial reforms affect R&D investment and patent activity. First, a “micro” reform that abolishes barriers-to-entry in the banking sector leads to a decrease in lending rates which stimulates R&D investment and growth. Second, a “macro” reform that removes restrictions on banks’ reserves and credit controls. While this reform increases liquidity, it also increases the risk of default, potentially raising the cost of borrowing. This we dub the “reserves paradox” – this makes banks offset the rise in the default rate with a higher spread between loans and deposit rates. Thus our model suggests that whilst micro reforms boost innovation, macro reforms may appear negative. We find empirical support for these propositions using a sample of 21 OECD countries.

Contribution Analysis of Factors Affecting the Growth of Chinese Construction Enterprises Based on the XGBOOST Algorithm

The cornerstone of China's economy is the building sector. It is critical to research boosting the core competitiveness of China's construction companies in the context of challenging domestic development challenges and complex international competition. As a result, this paper aims to establish 15 influencing factors that impact the growth of construction enterprises from both internal and external dimensions and uses the XGBOOST machine learning method to analyze the contribution of influencing factors based on the macro and micro multi-faceted analysis perspective. China Vanke Group is used as the research object in this essay. The findings demonstrate that the regression model's fitting degree and goodness of fit are at their maximum, and confidence is at its highest when the number of base learners is 750. The component that significantly impacts how fast businesses grow is the total operating expense growth rate. For construction businesses to improve their core competitiveness and achieve sustainable development, this article suggests specific approaches. This study helps foster the high-quality growth of businesses, producing an improved outcome and ensuring the industrial chain's stability.

Governance as an Interplay between Corruption and Polity: Conceptualizing from a National Perspective

This study examines the notion of governance while corruption and polity act in a negotiated approach. It adopts a theory synthesis approach to design the research paradigm and brings renewed attention to governance from a national perspective. This study argues that corruption and polity collectively define the state of governance in a particular country, which might offer some new insights to the remaining parts of the world. The principal aim of the study is to bring relevant evidence from the literature to develop a solid foundation on governance from a macro perspective. Deploying a qualitative approach, this study highlights available literature on corruption, polity, and their connections to define the state of governance. From this specific target, we have initiated this study deploying a conceptual fashion in exploring governance which is shaped by the interplay between two loosely connected themes: polity and corruption. The outcome of this synthesis is to renew our understanding on governance to strengthen the governance mechanism whereby corruption could be checked through sound polity in action. The arguments presented in the paper are expected to be useful for regulators and policymakers as they prepare governance-related rules, acts, or directives in their respective countries.

Nanomaterials as well their applications and effects in batteries

In recent years, with the increasing awareness of environmental protection, electric vehicles have appeared in front of the public, and there is a trend to replace fuel vehicles. However, the reason why fuel vehicles have not been completely replaced until now is that there are many problems in the batteries of electric vehicles, such as low speed of charging, low capacity, and so on. Therefore, it is necessary to optimize the electric vehicle battery. In this paper, by summarizing nanomaterials and their applications in batteries, the optimization direction of batteries and the problems to be avoided are clarified. By reviewing the types, properties, advantages, disadvantages, and applications of common nanomaterials, as well as summarizing the application of nanomaterials in batteries, it is concluded that nanomaterials have many obvious advantages in the field of batteries, which can improve the reaction rate, energy, capacity, etc. However, at the same time, it inevitably brings disadvantages. The future work will be to take advantage of nanomaterials while avoiding or reducing the impact of disadvantages. This paper can provide researchers with a macro perspective on the application of nanomaterials in batteries, so that stakeholders can more accurately design ideal battery electrode materials, thereby promoting the development of electric vehicles and further improving the trend of global warming.

Analysis from a Macro Perspective: Factors Affecting the Effectiveness of E-commerce in Chinese Rural SMEs

Analysis from a Macro Perspective: Factors Affecting the Effectiveness of E-commerce in Chinese Rural SMEs

Exploring Islamic Insurance (Takaful) Efficiency in Scientific Literatures

This study attempts to map research related to the efficiency of Takaful (Sharia Insurance) published by Dimensions.ai indexed journals from 2010 to 2022. NVivo 12 Plus is used to conduct thematic studies and the frequency is used to evaluate 56 publications in scientific literature. The results of the study found that the number of publications fluctuated from year to year related to Takaful efficiency research which indicated that this topic was an interesting topic and should continue to be developed. In addition, various focus discussions and cluster analysis that describe the research paths in Takaful efficiency research include (1) Cost efficiency in the takaful industry, (2) Comparison of the efficiency levels of takaful and conventional insurance, (3) Islamic insurance from a macro (industry) perspective. This research can be used as a starting point for experts to build graphical visualizations of Takaful efficiency research patterns in published scientific research.

The Impact of Financial Development on Renewable Energy Consumption: A Multidimensional Analysis Based on Global Panel Data

In this paper, we examined the impact of financial development on renewable energy consumption from a global perspective based on a dynamic panel model and panel data of 103 economies. We conducted the research from the different levels of financial development using an index system including nine variables, and also explored national heterogeneity by dividing samples into developed economies and developing economies. The empirical results indicated that the financial development had a positive impact on renewable energy consumption from the macro perspective, and this effect was mainly driven by the development of a financial institution (mainly including bank). Further analysis on the depth, access, and efficiency of a financial institution and financial market (mainly including stock market and bond market) revealed that all three aspects of a financial institution had a positive influence on renewable energy consumption, while this effect only existed in the aspect of efficiency for a financial market. The investigation of national heterogeneity showed that the financial development performed well in promoting renewable energy consumption in developed economies, while this positive effect only existed for financial institutions in developing economies. We suggest to policymakers to attach importance to the positive effect of financial development when formulating renewable-energy-related policies, and provide a system guarantee for renewable energy enterprises concerning financial sectors in developing economies.

A bibliometric analysis of 16,826 triple-negative breast cancer publications using multiple machine learning algorithms: Progress in the past 17 years.

Triple-negative breast cancer (TNBC) is proposed at the beginning of this century, which is still the most challenging breast cancer subtype due to its aggressive behavior, including early relapse, metastatic spread, and poor survival. This study uses machine learning methods to explore the current research status and deficiencies from a macro perspective on TNBC publications. PubMed publications under "triple-negative breast cancer" were searched and downloaded between January 2005 and 2022. R and Python extracted MeSH terms, geographic information, and other abstracts from metadata. The Latent Dirichlet Allocation (LDA) algorithm was applied to identify specific research topics. The Louvain algorithm established a topic network, identifying the topic's relationship. A total of 16,826 publications were identified, with an average annual growth rate of 74.7%. Ninety-eight countries and regions in the world participated in TNBC research. Molecular pathogenesis and medication are most studied in TNBC research. The publications mainly focused on three aspects: Therapeutic target research, Prognostic research, and Mechanism research. The algorithm and citation suggested that TNBC research is based on technology that advances TNBC subtyping, new drug development, and clinical trials. This study quantitatively analyzes the current status of TNBC research from a macro perspective and will aid in redirecting basic and clinical research toward a better outcome for TNBC. Therapeutic target research and Nanoparticle research are the present research focus. There may be a lack of research on TNBC from a patient perspective, health economics, and end-of-life care perspectives. The research direction of TNBC may require the intervention of new technologies.

The Economic Influence of Energy Storage Construction in the Context of New Power Systems

The increase in the proportion of renewable energy in a new power system requires supporting the construction of energy storage to provide support for a safe and stable power supply. In this paper, the computable general equilibrium (CGE) quantitative assessment model is used coupled with a carbon emission module to comprehensively analyze the benefits and costs of energy storage construction from a macro perspective. Taking Zhejiang Province as an example, the investment in and construction of energy storage under the new power system of the 14th Five-Year Plan will slow down the economic growth of Zhejiang Province to a slight extent, but this investment and construction can improve the income level of residents and further redistribute the income structure. At the same time, energy storage investment and construction are conducive to building a clean, low-carbon, and efficient power system. The construction of energy storage can smooth out changes in electricity demand, while enhancing the electricity consumption of the residential sector, making the core sector’s electricity consumption more efficient. In addition, the construction of energy storage in the new power system has a positive effect on carbon emission reduction in Zhejiang Province, with the CO2 growth rate being significantly lower than the baseline scenario.

The Acquisition, Consolidation and Legitimation of Military Power: The Case of Pinochet

A military coup in Chile in 1976 brought an end to a long-standing constitutional tradition. General Pinochet came to power, and his dictatorship had a long and profound impact on Chile. Current research has analyzed Pinochet's regime mainly from a macro perspective. Based on the literature review, this paper will use the theories of Schmitt, Machiavelli, and Weber to fill the research gap from a political perspective and explore the ways in which Pinochet acquired power, consolidated power, and ensured the legitimacy of his regime. While the theories of the three political philosophers can provide support for the Pinochet regime, the flaws in the theories promote further reflection on these lessons, thus helping Chile to better understand the past and look toward the future.