Radical Change

As we examine teleworking rules and best practices, we see people deal every day with the requirement to account for their time, performance, and efficiency. This can be emotionally charged due to a lack of clarity in the ways telework is managed, and that is why the authors examine radical change. Radical change involves behavioral indicators that can prove invaluable to starting or improving teleworking. The effect of emotion on radical change dynamics can be best understood by looking at the change process as separate components. There are three critical steps required to achieve radical change: receptivity, mobilization, and learning. At any fixed point in time, a person can accept the need for the proposed change if there is an interpretive, attitudinal state on the cognitive and emotional level. These steps are used to adjust to the cognitive and emotional levels of people involved in change operations.

Agent-Affordance Framework of Networked Collective Actions

This chapter details an agent-affordance framework designed to offer an understanding of social change dynamics in rapidly changing information ecosystems. In doing so, it explicates a taxonomy of agents and affordances critical to the Park Geun-hye impeachment. This framework includes four types of agent and three categories of affordance to account for social change dynamics that have become both more decentralized and increasingly intertwined between human and nonhuman computational agents. As communication infrastructure and social and political processes co-adapt, it is imperative to consider how structural and behavioral affordances affect social change. The framework considers the complex web of motivations, processes, and outcomes that support networked collective actions and enable these actions to succeed or fail.

In and Out of Sync: an Example of Gestalt Therapy

This article emphasizes the importance of synchronization in changing patients’ dysfunctional patterns of thoughts, feelings, and behaviors to functional ones. Furthermore, the concept of synchronization in psychotherapy is delineated herein, showing its feasibility through the free energy principle. Most sync-oriented publications focus on the therapist-patient relationship. In contrast, this article is focusing on the therapeutic process, especially by analyzing how dysfunctional units—both in an individual’s mind, as well as in social relationships—assemble in synchrony and how psychotherapy helps to disassemble and replace them with functional units. As an example, Gestalt psychology and Gestalt psychotherapy are demonstrated through the lenses of synchronization, supported by diverse case studies. Finally, it is concluded that synchronization is opening a gateway to understanding the change dynamics in psychotherapy and, as such, is worth further study.

Proportion and distribution of rain and snow in China from 1960 to 2018

Rainfall and snowfall have different effects on energy balance calculations and land-air interactions in terrestrial models. The identification of precipitation types is crucial to understand climate change dynamics and the utilization of water resources. However, information regarding precipitation types is not generally available. The precipitation obtained from meteorological stations across China recorded types only before 1979. This study parameterized precipitation types with air temperature, relative humidity and atmospheric pressure from 1960 to 1979, and then identified precipitation types after 1980. Results show that the main type of precipitation in China was rainfall, and the average annual rainfall days (amounts) across China accounted for 83.08% (92.55%) of the total annual precipitation days (amounts). The average annual snowfall days (amounts) in the northwestern region accounted for 32.27% (19.31%) of the total annual precipitation days (amounts), which is considerably higher than the national average. The average annual number of rainfall and snowfall days both displayed a downward trend while the average annual amounts of these two precipitation types showed an upward trend, but without significance at 0.1 levels. The annual number of rainfall and snowfall days in the southwestern region decreased significantly (-2.27 d/decade and -0.31 d/decade, p < 0.01). The annual rainfall amounts in the Jianghuai region increased significantly (40.70 mm/decade, p < 0.01), and the areas with the most significant increase in snowfall amounts were the northwestern (3.64 mm/decade, p < 0.01). These results can inform our understanding of the distribution and variation of precipitation with different types in China.

Change Dynamics of Electricity Prices for Households in the European Union between 2011 and 2020

The aim of the article: The aim of the article is to evaluate and analyze the dynamics of electricity prices for households in the European Union member states (EU-27) in the period 2011–2020. The study also focuses on the key components of electricity prices in the countries analyzed. The discussed issues are important from the socio-economic point of view. It refers to the issue of sustainable development, where electricity prices are addressed in relation to the problem of energy poverty of households. Methodology: The study is of a theoretical and analytical character. In addition to the review of available dnational and foreign literature, Eurostat data on electricity prices for households in the EU-27 were analysed. Moreover, the paper presents the application of a selected cluster analysis method, i.e. the k-means method, to assess the situation of the EU-27 countries in terms of electricity prices for households in the analysed period of 2011–2020. Results of the research: The result of the analyses undertaken is a presentation of the share of VAT and other taxes and levies in the price of electricity for households. The analyses showed differences between the countries in the structure of establishing the electricity price for households. Only in three countries (Bulgaria, Hungary, Slovakia) it was found that there was no share of other taxes and levies in the electricity price. In turn, the applied k-means method contributed to obtaining the division of countries into four groups reflecting the differentiation in terms of the amount of electricity price for households in the period under study.

Urban space change and future prediction of Kangpur Nagar, Uttar Pradesh using EO data

Urban Land use changes, measurements, and the analysis of rate trends of growth would help in resources management and planning, etc. In this study, we analyze the urban change dynamics using a support vector machine model. This method derives the urban and rural land-use change and various components, such as population growth, built-up areas, and other utilities. Urban growth increases rapidly due to exponential growth of population, industrial growth, etc. The population growth also affects the availability of various purposes in its spatial distribution. In this present study, we carried out using multi-temporal satellite remote sensing data Landsat MSS (Multispectral scanner), ETM+ (Enhanced thematic mapper), OLI (Operational land imager) for the analysis of urban change dynamics between years 1980-1990, 1990-2003, 2012-2020 in Kanpur Nagar city in the state of Uttar Pradesh in India. In our study, we used SVM (Support Vector Machine) Model to analyze the urban change dynamics. A support vector machine classification technique was applied to generate the LULC maps using Landsat images of the years 1980, 1990, 2003, and 2020. Envi and ArcGIS software had used to identify the land cover changes and the applying urban simulation model (CA- Markov model) in Idrisi selva edition 17.0 software. The LULC maps of 2003 and 2020 were used to simulate the LULC projected map for 2050 using (Cellular automata) CA- Markov based simulation model.