Degree Of Interdependence Research Articles

Explore the Effectiveness Factors and Improvement Strategies of Collaborative Learning

Collaborative learning is a widely used learning method in classroom learning. Collaborative learning has received increasing attention over the past few decades and has become an important area in educational research and practice. Some studies have shown that the effectiveness of collaborative learning may depend on a number of factors, such as the organizational environment of collaborative learning, the degree of interdependence among group members, as well as the nature of the tasks being performed, personal characteristics, etc., so collaborative learning needs good organization and management. Based on a review of relevant literature, this paper analyzes collaborative learning from multiple perspectives and concludes that collaborative learning is applicable to online learning, distance learning and cross-cultural learning. Collaborative learning is faced with problems such as lack of learning motivation of members, super cognitive load and lack of teacher supervision, and strategies such as team incentive mechanism and metacognition are used to help improve the results of collaborative learning. This paper aims to improve and inspire students to make better use of collaborative learning to improve their learning ability, help educational practitioners better design and implement collaborative learning activities, and improve education quality and students learning experience.

Investing in Crypto-Assets: Council Adoption of DAC8

This article provides an update on the adoption of an amendment to the Directive on Administrative Cooperation (2011/16) (DAC) on 17 October 2023, thereby bringing crypto-assets in scope of automatic exchange of information for tax purposes (DAC8). There is a high degree of interdependency between DAC8, the Markets in Crypto-Assets Regulation (MiCA) and OECD Crypto-Asset Reporting Framework (CARF). The authors provide an overview of DAC8 and highlight certain scoping observations based on the cross-referencing between DAC8, MiCA and CARF as well as on the proposed amendments from the European Parliament’s resolution dated 13 September 2023.

Legal Strategies at the Governance Precipice: Transnational Lawyers in the European Union’s Sovereign Debt Crisis (2010–2012)

How do transnational lawyers valorize their expertise in a political and economic crisis? This article argues that knowing how transnational lawyers valorize their expertise is critical to understanding how transnational law evolves and affects society, especially when existing legal frameworks prove to be inadequate and novel practices must pave new paths. Using the acute phase of the Eurozone crisis between 2010 and 2012 as an empirical case, I examine how European Union (EU) legal agents constructed a framework that accommodated the uncertainty of governing a crisis while also mediating the contentious politics between EU Member States. The analysis shows that as intergovernmental bargaining dominates Eurozone crisis governance, EU legal advisors intervene to reconcile these bargains with the EU legal order using novel practices that simultaneously valorize their legal expertise. These practices in effect engender a high degree of interdependence and interconnection between the EU legal order and several intergovernmental arrangements—especially the European Stability Mechanism—leading to the creation of a unique form of EU governance: semi-intergovernmentalism. This article contributes to debates on legal globalization by empirically examining how transnational legal agents valorize their expertise through strategies directed at defending their autonomy while protecting the normative coherence of their transnational legal order: the EU.

Impact of competitive exercises on the development of defensive skills of junior handball players

This study aimed at preparing competitive exercises to develop some important skills within the defensive formation of handball, and identifying the impact of competitive exercises on developing defensive skills within the formation used. The researcher used the experimental method, with one-group pretest-posttest design. The sample for the study consisted of 9 handball players from the Iraqi national team for juniors. A set of competitive exercises for both individual and group defensive skills within the defensive formation was prepared to assess successful and failed attempts in pre and post-tests. The researcher utilized the statistical program SPSS to process the data statistically and extract various parameters. The results of the study showed that there is an impact of competitive exercises on the development of defensive handball skills, through the degree of interdependence between players during performance.

“Green” Financing and EsG: Opportunity for sustainable socio-Economic Development

The implementation of the sustainable development strategy and the formation of a “green” economy model provide for the reorientation of financial resources, accounting by economic entities and public authorities and management of ESG-principles and the development of “green” financing tools.The purpose of the paper is to develop theoretical provisions and modeling of the impact of “green” financing on the socio-economic development of the subjects of the Russian Federation.Methods of data mining were used with temporary delays and corresponding lags responses of endogenous indicators, as well as cluster and correlation analysis. The result of the study was the specification of the economic content of the definition of “green” financing, as well as the construction of econometric models of the degree of interrelationship between “green” financing and the socio-economic development of the regions of Russia. The authors described the economic content of the definition of “green” financing, developed econometric models of the degree of interdependence of “green” financing and socioeconomic growth of Russia’s regions, calculated an integral indicator of sustainable socio-economic development of the regions of the Russian Federation taking into account ESGfactors (social risks, environmental risks, quality of management). Clustering of Russian regions according to the level of influence of “green” financing on their socio-economic development has also been carried out.The article concludes that the relationship between the level of socio-economic development of the regions of the Russian Federation and the volume of “green” financing is direct, strong, and can be expressed by increasing linear regression. The prospects for further research may be related to the assessment of the real needs of the volumes of “green” financing in the context of ensuring sustainable economic growth.

Bertrand under Uncertainty: Private and Common Costs*

Does asymmetric information about costs in a homogeneous‐good Bertrand model soften competition? Earlier literature has shown that the answer (perhaps counter‐intuitively) is “no,” while assuming (i) private (i.e., independent) cost draws and (ii) no drastic innovations. I first show, in a fairly general setting, that by relaxing (i) and instead allowing for sufficiently much common (interdependent) cost draws, asymmetric information indeed softens competition. I then study a specification that yields a closed‐form solution and show that relaxing (ii) but not (i) does not alter the result in the earlier literature. While relying on specific functional forms, this specification is quite rich and might be useful in applications. It allows for any (positive) degree of interdependence between the cost draws, for any demand elasticity, and for any number of firms. The closed‐form solution is simple and in pure strategies.

Analyzing the dynamics of social media texts using coherency network analysis: a case study of the tweets with the co-hashtags of #BlackLivesMatter and #StopAsianHate.

This study examines the associations between time series, termed "coherency," using spectral analysis. Coherence squared, analogous to the squared correlation coefficient, serves as a metric to quantify the degree of interdependence and co-evolution of individual nodes. We utilized spectral analysis to compute coherence squared, unveiling relationships and co-evolution patterns among individual nodes. The resultant matrix of these relationships was subjected to network analysis. By conducting a case study analyzing tweets associated with the co-hashtags #StopAsianHate and #BlackLivesMatter, we present a novel approach utilizing coherency network analysis to investigate the dynamics of social media text. Frequency domain analysis aided in calculating coherence squared, effectively illustrating the relationships and co-evolution of individual nodes. Furthermore, an analysis of the phase spectrum's slope facilitated the determination of time lag and potential causality direction between highly co-evolved node pairs. Our findings underline the potential of coherency network analysis in comprehending the intricate dynamics of social media text. This approach offers valuable insights into how topics, sentiments, or movements manifest and evolve within the digital realm. Future research should explore diverse datasets and domains to broaden our understanding of this novel analytical technique.

3D real property in vertical mixed-use developments. A comparative analysis of common property and management aspects in selected jurisdictions – The case of British Columbia, Denmark and Sweden

Jurisdictions around the world are experiencing an increasing demand for formation of three-dimensional (3D) real property units, especially in the presence of vertical mixed-use developments. Since traditional real property formation is only in two dimensions (2D), jurisdictions are on different steps (levels) of transforming 2D real property legislation into 3D real property legislation. The objective of this article is to analyse and compare law and practice in jurisdictions that are on different steps of developing 3D real property legislation, but otherwise comparable in terms of societal development status. The predominant focus in academic literature is on formation of private 3D property rights. This paper has a somewhat different approach, focussing on formation and management of common property. The formation of common property is usually unavoidable in a vertical mixed-use development, e.g. due to a high degree of interdependence between layered and intertwined 3D property units. Legal aspects regarding common property formation and management have not been rigorously compared internationally. This article presents a comparative study including British Columbia (Canada), Denmark and Sweden. Each jurisdiction represents a unique step on the 3D transformation staircase where legal aspects regarding common property and management in each jurisdiction is analysed and presented. The results of the study can be beneficial for researchers and legislators as a tool to analyse 3D real property legislation.

Towards a Bavarian Oncology Real World Data Research Platform.

In the last decade numerous real-world data networks have been established in order to leverage the value of data from electronic health records for medical research. In Germany, a nation-wide network based on electronic health record data from all German university hospitals has been established within the Medical Informatics Initiative (MII) and recently opened for researcherst' access through the German Portal for Medical Research Data (FDPG). In Bavaria, the six university hospitals have joined forces within the Bavarian Cancer Research Center (BZKF). The oncology departments aim at establishing a federated observational research network based on the framework of the MII/FDPG and extending it with a clear focus on oncological clinical data, imaging data and molecular high throughput analysis data. We describe necessary adaptions and extensions of existing MII components with the goal of establishing a Bavarian oncology real world data research platform with its first use case of performing federated feasibility queries on clinical oncology data. We share insights from developing a feasibility platform prototype and presenting it to end users. Our main discovery was that oncological data is characterized by a higher degree of interdependence and complexity compared to the MII core dataset that is already integrated into the FDPG. The significance of our work lies in the requirements we formulated for extending already existing MII components to match oncology specific data and to meet oncology researchers needs while simultaneously transferring back our results and experiences into further developments within the MII.

Factors for the Development of Corporate Management in China

Рurpose of the work is to develop the theory of corporate management of Chinese transnational corporations (TNC) by identifying and substantive characteristics of the factors influencing these relations. The methodological main of research are systemic and comparative analysis, the method of conceptualization of scientific ideas, the method of qualitative and quantitative assessment, the subjective approach. The following are identified as the main factors determining the directions, tools and forms of development of corporate management in China: strengthening economic interdependence within macroregions, including through transnational corporations, with the growth of economic and geopolitical confrontation between macro-regions; high rates of economic growth of the country, requiring the expansion of transnational forms of doing business in order to stimulate exports and provide access to the necessary import resources; expansion of the private sector while maintaining state control over assets in key industries and the development of the national stock market; the ongoing credit and financial policy of the state, which provides Chinese TNCs with privileged access to financial resources; reconfiguration of the global technological space in favor of China, which contributes to the development of Chinese TNCs in the ICT (information and communication technologies) sector and the improvement of corporate management on a new technological basis; the leading role of the Communist Party in the political life of the country, which allows Chinese TNCs to use political capital to increase competitiveness; national cultural and worldview features that contribute to the formation of a specific culture of corporate management (guangxi), characterized by a high level of social capital and a focus primarily on collective interests. The novelty of the results obtained lies in the disclosure of a variety of factors and the mechanism of their influence on the corporate management of Chinese TNCs, a high degree of interdependence of internal and external factors, as well as in the study of economic, political and cultural factors not in isolation, but in the unity of their influence on the object of study, which allows significantly improve the quality of economic analysis of the development of corporate management in China.

A different kind of economic globalization? Some remarks under the focus of debates

Has economic globalization reached its limits? Why does the degree of interdependencies and integration vary so much across countries? What are the main factors that explain the recent trends in globalization? What is the true meaning of the “new globaliz

The microbiota-gut-brain axis regulates motivation for exercise.

The microbiota-gut-brain axis regulates motivation for exercise.

Automatic Keyword Extraction Algorithm for Chinese Text based on Word Clustering

There are some problems in automatic keyword extraction of Chinese text, such as large feature extraction error, low precision of extracted keywords, and poor real-time performance. Therefore, an automatic keyword extraction algorithm for Chinese text based on word clustering is designed. Calculate keyword frequency, document frequency and inverse document frequency features through statistical algorithm, measure the degree of interdependence between keywords with the help of point mutual information, and construct keyword feature item quantification matrix with the help of vector space model corresponding to keywords and feature items to complete keyword feature quantification and realize keyword feature extraction of Chinese text. Calculate the average semantic similarity of keyword words, determine the similarity of keyword features, and eliminate the keyword features with high similarity; Set the comprehensive feature value of the importance of single word words in Chinese text, determine the importance of single word words in the text, remove the single word words with low importance, and use Bayesian framework to reduce the dimension of high-dimensional keyword feature data to realize preprocessing research. The mapping results of keyword vector space model are determined by word clustering algorithm, the text clusters of keyword space clustering results are calculated by clustering algorithm, and the keywords are classified by DBN method. On this basis, the automatic keyword extraction model of Chinese text is designed to realize the automatic keyword extraction of Chinese text. The experimental results show that the design algorithm can effectively reduce the feature extraction error and improve the extraction efficiency.

Synthetic regulatory genomics uncovers enhancer context dependence at the Sox2 locus

Sox2 expression in mouse embryonic stem cells (mESCs) depends on a distal cluster of DNase I hypersensitive sites (DHSs), but their individual contributions and degree of interdependence remain a mystery. We analyzed the endogenous Sox2 locus using Big-IN to scarlessly integrate large DNA payloads incorporating deletions, rearrangements, and inversions affecting single or multiple DHSs, as well as surgical alterations to transcription factor (TF) recognition sequences. Multiple mESC clones were derived for each payload, sequence-verified, and analyzed for Sox2 expression. We found that two DHSs comprising a handful of key TF recognition sequences were each sufficient for long-range activation of Sox2 expression. By contrast, three nearby DHSs were entirely context dependent, showing no activity alone but dramatically augmenting the activity of the autonomous DHSs. Our results highlight the role of context in modulating genomic regulatory element function, and our synthetic regulatory genomics approach provides a roadmap for the dissection of other genomic loci.

Differentiated goods in a dynamic Cournot duopoly with emission charges on output

We extend the dynamic Cournot duopoly framework with emission charges on output by Mamada and Perrings (Econ Anal Policy 66:370–380, 2020), which encompassed homogeneous products in its original formulation, to the more general case of differentiated goods, in order to highlight the richness in its static and dynamic outcomes. Each firm is taxed proportionally to its own emission only and charge functions are quadratic. Moreover, due to an adjustment capacity constraint, firms partially modify their output level toward the best response. Like in Mamada and Perrings (Econ Anal Policy 66:370–380, 2020), the only steady state coincides with the Nash equilibrium, and it will be considered admissible when it guarantees the positivity of the marginal emission charge. We find that the full efficacy of the environmental policy, which applies to an equilibrium that is globally asymptotically stable anytime it is admissible, is achieved in the case of independent goods, as well as with a low good interdependence degree in absolute value, independently of being substitutes or complements. When goods are substitutes and their interdependence degree is high, the considered environmental policy is still able to reduce pollution at the equilibrium, but the latter is stable just when the policy intensity degree is large enough. When instead goods are complements and their interdependence degree is high in absolute value, the considered environmental policy produces detrimental effects on the pollution level and the unique equilibrium is always unstable, when admissible. This highlights that, from the static viewpoint, even in the absence of free riding possibilities, the choice of the mechanism to implement has to be carefully pondered, according to the features of the considered economy.

Toward a Super-COP? Timing, Temporality, and Rethinking World Climate Governance

Toward a Super-COP? Timing, Temporality, and Rethinking World Climate Governance

Macroprudential policy in central banks: Integrated or separate? Survey among academics and central bankers

We surveyed experts from academia, central banks, and other regulatory institutions on the preferred institutional setup of macroprudential policy and the underlying interactions stemming from the conduct of monetary and macroprudential policy. We find substantial support for the integration setup, under which macroprudential policy is entrusted to the central bank and not to a separate institution. The most significant factors driving the respondents’ views are the large degree of interdependence of the two policies, the potential information gains from keeping them “under one roof”, and a greater capability to resolve strategic conflicts. We identify non-negligible heterogeneity in the responses, especially in terms of respondents’ experience, expertise, and position.

Smart power consumption in energy digital economy: A perspective of the value co-creation mechanism

Residential load is one of the important components of the seasonal peak load of the power grid, and it is increasing each year, with a huge demand response potential. With the development of the energy digital economy, the demand response of the new power system shows the characteristics of multi-stakeholder participation. The development mode based on the value co-creation has become a prominent support for market-oriented reform, and the need for the promotion of smart electricity use is increasingly prominent. In order to realize the in-depth exploration of residents’ demand response potential and the sustainable development of “value co-creation” of smart electricity consumption with the participation of multi-stakeholders, this study adopts both the social network analysis method and the counterfactual analysis approach to reveal the general characteristics of agents promoting the residents to participate in the value co-creation of smart electricity positively. The results show that 1) for social network, both the absolute resource advantage and the structural hole have obvious positive guidance on the agent; however, the incentive effect of the relative resource advantage is not significant; 2) for individual nodes , the role positioning of each agent has obvious guiding function for realizing the value co-creation; and 3) for interrelationship among main agents, the functional relationship has a significant degree of interdependence.

Dynamics of development of urban housing stock and urban population

The development of urban housing policies needs to be correlated with the demographic development of the city. Demographic dynamics in the world, including Kyrgyzstan, is developing towards the urbanization of the population and the increase in agglomerations. Therefore, in this article, we study the degree of interdependence of urban population growth factors with the dynamics of the housing stock and the volume of commissioning of a new urban dwelling. In particular, the two largest cities of the Kyrgyz Republic were studied – the capital Bishkek and the southern city of Osh, in which more than 60% of the urban population concentrated. On the basis of the analysis, the aim is to establish a unified public housing and demographic policy for cities based on the mutual development of the urban population and urban housing stock. We have considered the historical development of these factors as well with subsequent justification of their prospective or prognostic development in the light of one housing and demographic policy for the strategic urban development plan. On the demographic side, we took indicators of the total permanent urban population and the dynamics of population growth in Bishkek and Osh; on the housing side, we took indicators of commissioning new urban housing, urban housing stock and the availability of housing per person in the city.

Air Transport Impact on the Development of the Tourism Industry

The article is devoted to the assessment of the impact of air transport on the development of the tourism industry. It has been established that air carriers around the world provide a significant share of international tourist trips and are dependent on fluctuations in tourist demand. It has been determined that the understanding of the need to study the degree of interdependence between the tourism and aviation business transforms traditional approaches to the study of tourism and aviation transport. The analyzed functional links between travel companies and airlines allowed asserting the formation of a specialized system, the logistics principles of which will enable people to maximize their mobility potential in the modern globalized world. It has been proved that the development of air transport becomes a decisive factor in the development of tourism, its driving force. For effective joint activities of airlines with tourist enterprises, it is necessary to develop such ways of their interaction that will allow them to function in a coordinated manner within the framework of a single chain of providing tourist services.