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Who wants to learn harder? The relationship between conservatism and liberalism, desirable difficulties, and academic learning
(2022-01-04)
Previous work has shown that challenging learning strategies like desirable difficulties improve long-term learning. Nonetheless, because they might be regarded as strict and demanding learning strategies, they should not be perceived as positive by everyone. They should, however, fit conservative political attitudes since those are, among others, positively correlated with individuals’ need for order and structure as well as with challenging learning environments. Hence, we hypothesized conservative political attitudes ...
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Barriers in Participative Water Governance: A Critical Analysis of Community Development Approaches
(2022-02-28)
Participatory approaches within development programs involving common-pool resources are intended to revive a community’s role in managing these resources. Certainly, to ensure the successful and equitable use of such resources, community participation is essential. However, in many cases, attempts at applying a participatory approach often fail to genuinely engage all subgroups within a community due to assumptions of homogeneity and a lack of understanding of the deep socio-political divisions between people. As a ...
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Modelling and Simulation of Building Material Flows: Assessing the Potential for Concrete Recycling in the German Construction Sector
(2022-03-01)
The reuse and recycling of materials can make an important contribution to the conservation of natural resources in the sense of a circular economy. This applies in particular to high quality recycling, supporting the material use of waste and closing product cycles. The construction sector is the most important sector in terms of available volume of materials for recycling. However, the largest share of recycling (RC) materials goes predominantly into road construction and underground engineering. This research ...
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Knowledge Practices Within and Beyond Sharing and Commoning Urban Initiatives
(2022-04-18)
In the context of neoliberal cities, with growing levels of housing commodification and space competition, sharing and commoning urban initiatives within the larger framework of urban social movements are shaping tactics of contestation. To what extent they represent sustainable efforts to urban commons governance remains largely unexplored. This article aims therefore to contribute to better understand how practices of solidarity can be maintained beyond their first productive phase and to explore the engagement of ...
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Inclusive Resettlement? Integration Pathways of Resettled Refugees With Disabilities in Germany and Canada
(2021-12-09)
The purpose of this article is to explore the existing intersectional knowledge on integration and resettlement of refugees with disabilities in two of the top five resettlement countries in the world, Germany and Canada. There is limited research on the intersection of migration and disability, especially in the context of refugee resettlement. Reflecting the dominant pathways of migration in each country, what little research there is focuses on asylum seekers in Germany, and immigrants in Canada. The review describes ...
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Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm
(2022-01-10)
Digitalization has impacted agricultural and food production systems, and makes application of technologies and advanced data processing techniques in agricultural field possible. Digital farming aims to use available information from agricultural assets to solve several existing challenges for addressing food security, climate protection, and resource management. However, the agricultural sector is complex, dynamic, and requires sophisticated management systems. The digital approaches are expected to provide more ...
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Comparison of Real and Simulated Fiber Orientations in Injection Molded Short Glass Fiber Reinforced Polyamide by X-ray Microtomography
(2021-12-22)
During injection molding of short glass fiber reinforced composites, a complex structure is formed due to the fiber movement. The resulting fiber orientation can be predicted using various simulation models. However, the models are known to have inadequacies andthe influence of process and model parameters is not clearly and comprehensively described. In this study, the aforementioned model and process parameters are investigated to determine the dependencies of the individual influences on the real and simulated ...
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A Novel Approach to Inhibit Intergranular Corrosion in Ferritic Stainless Steel Welds Using High-Speed Laser Cladding
(2021-12-15)
Ferritic stainless steels are prone to localized corrosion phenomena such as pitting corrosion or intergranular corrosion, in particular when jointed by fusion welding processes. State-of-the-art techniques to avoid intergranular corrosion mainly consist of alternating alloy concepts or post-weld heat-treatments—all of which are associated with increased production costs. Hence, the present investigation seeks to introduce a novel approach for the inhibition of intergranular corrosion in ferritic stainless steel welds ...
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Control of Jump Markov Uncertain Linear Systems With General Probability Distributions
(2022-02-25)
This paper introduces a method to control a class of jump Markov linear systems with uncertain initialization of the continuous state and affected by disturbances. Both types of uncertainties are modeled as stochastic processes with arbitrarily chosen probability distributions, for which however, the expected values and (co-)variances are known. The paper elaborates on the control task of steering the uncertain system into a target set by use of continuous controls, while chance constraints have to be satisfied for ...
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Heat Load Profiles in Industry and the Tertiary Sector: Correlation with Electricity Consumption and Ex Post Modeling
(2022-03-29)
The accurate prediction of heat load profiles with a daily resolution is required for a broad range of applications, such as potential studies, design, or predictive operation of heating systems. If the heat demand of a consumer mainly originates from (production) processes independent of the ambient temperature, existing load profile prediction methods fail. To close this gap, this study develops two ex post machine learning models for the prediction of the heat demand with a daily resolution. The selected input ...