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Valundersökningen 1976 är den sjunde riksomfattande studien i serien undersökningar kring partival, valdeltagande och politisk opinionsbildning inom den svenska valmanskåren i samband med ett riksdagsval. Denna undersökninga genomfördes i samarbete mellan statsvetenskapliga institutionen vid Uppsala universitet och statistiska centralbyrån. 1976 års undersökning är den första valundersökning som täcker kärnkraftsfrågan, ett ämne som under många år var en av de centrala politiska frågorna i Sverige. Undersökningen innehåller ett stort antal frågor om hur olika samhällsgrupper behandlas av de olika politiska partierna. Den innehåller även ett antal frågor om olika gruppers och organisationers inflytande i samhället. I samband med 1976 års undersökning introducerades ett antal frågor som sedan ställts i samtliga, eller nästan samtliga, valundersökningar som genomförts därefter. Dessa frågor behandlar respondentens inställning till en rad ämnen såsom, daghem, pornografi, förstatligande, militärutgifter, företagsamhet och skatter. Syfte: Förklara varför väljare röstar som de gör och varför val slutar som de gör. Spåra och följa trender i svensk valdemokrati och göra jämförelser med utvecklingen i andra länder. This study is part of the collection of Swedish election studies fielded continuously since 1956. The 1976 study was the first election study to cover the nuclear power issue, an issue which for many years became one of the central political issues in Sweden. This study also includes a large number of questions on how different groups in society are treated by different political parties, it also includes a number of questions on different groups´ and organizations´ influence in society. This study introduces a number of questions, asked in all or nearly all of the election studies since then, about the respondent´s opinion on different issues such as day-care centers, pornography, socialization, defence expenditures, private enterprise, and taxes. Purpose: Explain why people vote as they do and why an election ends in a particular way. Track and follow trends in the Swedish electoral democracy and make comparisons with other countries.

Globalization has changed the way global society addresses common and global problems.

Moral panic, our predisposition to exaggerate threats against our livelihood and start blaming ourselves, is as old as human history. We always feared “others”, people with skin colors or ethnicity other than ours, people coming from other corners of the globe, and the infectious diseases the strangers might bring along. This paper deals with a new version of such moral panics which is arguably even more intense than the previous ones, but which relates to a new dimension of human experience, namely globalization. The health, economic and environmental challenges we are now faced with are posed globally. The moral panic today stems from this triple challenge. Our central thesis is that these three emergencies are interrelated, but there is no simple causal relationship between them. They can only be addressed in a global manner, while we still live in a world which is segmented into sovereign nation-states.

This study explores the use of energy savings technologies in timber production for wood housing construction. Methods applied were based on the creation of system of optimized regimes of drying of sawn timber was carried out in two stages: computing experiment with the tools of MathCAD and production experiment. The findings discovered the following tendency: however the minimum cost of energy is achieved at the minimum time of drying that is explained by an essential difference in the cost of thermal and electric energy. The regimes of steeples structure received by computer modeling allow receiving sawn timber that fully meets the requirements of the consumer without application of moisture treatment and the conditioning processing. The developed technique of formation of the steeples regimes of drying of sawn timber allows determining structure and sizes of parameters of the regime depending on the required quality of drying and energy costs on its carrying out. Calculations of technical and economic efficiency have shown that the total annual economic effect in more than 17 dollars per 1 m3 and it can be extended by including on power component. © 2018 CEUR-WS. All rights reserved. The work is carried out based on the task on fulfilment of government contractual work in the field of scientific activities as a part of base portion of the state task of the Ministry of Education and Science of the Russian Federation to Ural State Forest Engineering University (the # 26.8660.2017/8.9 "The Research Methodology of Forms of Economic and Technological Reality in the Aspect of Sustainable Forest Management").

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Currently, forest ecosystems are facing many sustainability problems due to drastic climate changes and extreme exploitation of their resources. Planted forests can contribute to more sustainable practices and help addressing some of these issues. In order to be able to profit from these benefits sustainably, production rates of forest regeneration materials should be higher than the harvesting rates. Nevertheless, intensive production methods often bring along adverse consequences for the environment. At the moment, there exist several options such as greenhouses or plant growth chambers that allow producing forest materials more rapidly. Unfortunately these systems consume considerable high amounts of energy for lighting, acclimatization and irrigation having a negative impact on the environment. The Zephyr project aims to introduce an innovative technology built on pre-cultivation of forest regeneration materials in a zero-impact and cost-friendly production unit. The project will integrate several technologies into a functional and transportable system for large scale production of pre-cultivated forest regeneration materials adapted to transplanting and further growth at forest nurseries. A transportable and closed incubator independent from the outdoor climate provides a better control on the seedlings production. The plants can be produced directly at the place where they are needed avoiding further transportation to the reforestation/afforestation zone. The closed-climate allows seedlings pre-cultivation in places where it would not be possible otherwise (e.g. near deserts). Additionally, it extends the production time throughout the whole year even during the winter. Moreover, it will allow a certified and standardized production of reforestation materials, with a noticeable increasing of the efficiency of the reforestation operations. Specially developed LED growth lamps and wireless sensors will be used to reduce energy consumption and monitor the cultivation process. The main part of the energy will be provided by solar PV-panels, depending from the geographic and climatic area the power system should be able to provide at least one day of autonomy (in central Europe). The energy savings will result in a reduction of greenhouse gas emissions; moreover, since the LED lamps do not produce additional warming, there will be further energy saving through the reduction of air conditioning costs. The PV system is designed based on the load specifications of the different subsystems involved for advanced state-of-art pre-cultivation of forest seedlings. It will be further evaluated based on the changes in the load profiles as the growth protocols for different species are defined. The main objectives are to maximize the power/energy flow delivered to the load and to investigate feasible options for an external backup power source whilst considering options to reduce the overall load of the system.

Coordinate pulsewidth modulation is considered for the control of power switches of matrix and two-component direct frequency converters (DFC) in ac drive systems. The synthesis of modulating signals yielding the specified output voltages and sinusoidal grid currents for converters with no intermediate smoothing filter is discussed. Simulation of DFC operation with an RLE load and an asynchronous motor is undertaken.

To more accurately treat severe accidents in fast reactors, a program has been set up to investigate new computational models and approaches. The product of this effort is a computer code, the Advanced Fluid Dynamics Model (AFDM). This paper describes some of the basic features of the numerical algorithm used in AFDM. Aspects receiving particular emphasis are the fractional-step method of time integration, the semi-implicit pressure iteration, the virtual mass inertial terms, the use of three velocity fields, higher order differencing, convection of interfacial area with source and sink terms, multicomponent diffusion processes in heat and mass transfer, the SESAME equation of state, and vectorized programming. A calculated comparison with an isothermal tetralin/ammonia experiment is performed. We conclude that significant improvements are possible in reliably calculating the progression of severe accidents with further development.

This paper describes the modeling used in the Advanced Fluid Dynamics Model (AFDM), a computer code to investigate new approaches to simulating severe accidents in fast reactors. The AFDM code has 12 topologies describing what material contacts are possible depending on the presence or absence of a given material in a computational cell, the dominant liquid, and the continuous phase. Single-phase, bubbly, churn-turbulent, cellular, and dispersed flow are permitted for the pool situations modeled. Interfacial areas between the continuous and discontinuous phases are convected to allow some tracking of phenomenological histories. Interfacial areas also are modified by models of nucleation, dynamic forces, turbulence, flashing, coalescence, and mass transfer. Heat transfer generally is treated using engineering correlations. Liquid/vapor phase transitions are handled with a nonequililbrium heat-transfer-limited model, whereas melting and freezing processes are based on equilibrium considerations. The Los Alamos SESAME equation of state (EOS) has been inplemented using densities and temperatures as the independent variables. A summary description of the AFDM numerical algorithm is provided. The AFDM code currently is being debugged and checked out. Two sample three-field calculations also are presented. The first is a three-phase bubble column mixing experiment performed at Argonne National Laboratory; the second is a liquid-liquid mixing experiment performed at Kernforschungszentrum, Karlsruhe, that resulted in rapid vapor production. We conclude that only qualitative comparisons currently are possible for complex multiphase situations. Many further model developments can be pursued, but there are limits because of the lack of a comprehensive theory, the lack of detailed multicomponent experimental data, and the difficulties in keeping the resulting model complexities tractable.

Slides presented at the 102 Annual American Meteorological Society Meeting, as part of the session "Major Weather Events and Impacts of 2021" (paper 6.3 - It's Getting Hot in Here: Real-Time Climate Fingerprints Applied to the 2021 Extreme Heat Season) For more information, please reach out to Daniel Gilford at dgilford@climatecentral.org. Presentation Abstract: Extreme heat was observed and experienced across large portions of the United States in 2021, including during notable record-breaking events in the Pacific Northwest, the Southwest, and along the East coast. The contiguous US experienced its hottest June on record, and excess heat related deaths stretched into the thousands. While more frequent and intense periods of extreme heat are expected consequences of anthropogenic climate change, rapidly and continuously assessing the degree to which human emissions of greenhouse gases increase the likelihood of a specific event remains a challenging technical process. In this study we introduce the Realtime Climate attribution framework and illustrate its application through an analysis of observed 2021 extreme heat events. The framework implements one model-based and two observation-based approaches to produce three distinct attribution assessments, including best estimates and uncertainties. The framework is designed to be flexible across a range of variables and scales, computationally lightweight, and adaptable for impact studies. Using a suite of global climate models, observed global mean temperatures, and local observed daily temperatures, we quantify the extent to which human-driven climate change made 2021 maximum and minimum daily temperature extremes more likely across the United States. Results confirm the continued and growing influence of human-driven climate change in local weather extremes. For instance, we find that the record-breaking high temperatures in June near Phoenix, AZ, were at least 3.25 times more likely because of human activity. Through this framework, we are building the capacity to produce attribution estimates while an event is unfolding. Furthermore, the ability to estimate attribution levels continuously will enhance studies of extreme heat impacts on human health, along with other socioeconomic or influences.