62 results match your criteria: "Fraunhofer Institute for Systems and Innovation Research[Affiliation]"

German energy system studies, investigating the energy transition pathways to the set climate targets, depict a significant decrease in gas demand. This leads to a discussion about the long-term need of gas distribution networks. The discussion intensified with the war in Ukraine and the subsequent energy price crisis.

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The transition towards climate-neutral industry is a challenge, particularly for heavy industries like steel and basic chemicals. Existing models for assessing industrial transformation often lack spatial resolution and fail to capture individual investment decisions. Consequently, the spatial interplay between industry transformation, energy availability, infrastructure availability, and the dynamics of discrete investments is inadequately addressed.

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Smart Specialisation Strategies and regional knowledge spaces: how to bridge vision and reality.

Reg Stud

June 2024

Spatial Dynamics Lab, School of Architecture, Planning & Environmental Policy & Insight Centre for Data Analytics, University College Dublin, Dublin, Ireland.

Smart Specialisation Strategies (S3) are implemented across European regions. However, investigations into whether S3 initiatives adequately match local knowledge capabilities are very scarce. This work analyses to what extent S3 policies are coherent with the local knowledge space of 164 European regions, respectively.

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Background: Clinical decision support systems (CDSSs) are increasingly being introduced into various domains of health care. Little is known so far about the impact of such systems on the health care professional-patient relationship, and there is a lack of agreement about whether and how patients should be informed about the use of CDSSs.

Objective: This study aims to explore, in an empirically informed manner, the potential implications for the health care professional-patient relationship and to underline the importance of this relationship when using CDSSs for both patients and future professionals.

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Background: In light of increasing therapeutic options, risk stratification of advanced cardiac transthyretin amyloidosis (ATTR-CA) is gaining clinical importance to avoid ineffective treatments. Liver stiffness as a marker of hypervolemia and hepatic congestion might predict mortality in advanced ATTR-CA and allow to identify patients at highest risk.

Methods: Proven ATTR-CA patients underwent repeated vibration-controlled transient elastography (VTCE) and standardized serial workup within the local amyloidosis cohort study AmyKoS.

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Background/aims: Congestion is prognostically relevant in cardiac transthyretin amyloidosis (ATTR-CA), but whether congestion has an incremental prognostic value beyond the well-established, congestion-sensitive NT-proBNP is unknown. Therefore, we aimed to comparatively evaluate the prognostic utility of several congestion surrogates over NT-proBNP.

Methods: We estimated hazard ratios by Cox proportional hazards regressions with time-varying covariates from a panel data set of the local amyloidosis cohort study AmyKoS.

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This data article introduces a comprehensive dataset of real-world truck parking locations across Europe. The dataset comprises = 19,713 designated parking sites classified according to public accessibility and suitability for heavy-duty trucks (HDTs). More specifically, core information comprises the truck stop category, latitude and longitude information, area size, and country assignment.

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Background: Amyloidosis is a rare multi-system disorder associated with frequently delayed diagnosis, enormous disease burden and psychosocial distress.

Methods: Systematic assessment of needs was performed by a subtype-spanning questionnaire-based survey within the AMY-NEEDS research and care program.

Results: 118 patients with proven amyloidosis (62.

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Cardio-Hepatic Interaction in Cardiac Amyloidosis.

J Clin Med

March 2024

Interdisciplinary Amyloidosis Center of Northern Bavaria, University Hospital Würzburg, 97080 Würzburg, Germany.

Congestion is associated with poor prognosis in cardiac amyloidosis (CA). The cardio-hepatic interaction and the prognostic impact of secondary liver affection by cardiac congestion in CA are poorly understood and require further characterisation. Participants of the amyloidosis cohort study AmyKoS at the Interdisciplinary Amyloidosis Centre of Northern Bavaria with proven transthyretin (ATTR-CA) and light chain CA (AL-CA) underwent serial work-up including laboratory tests, echocardiography, and in-depth hepatic assessment by vibration-controlled transient elastography (VCTE) and C-methacetin breath test.

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Achieving consensus on assessing health-related quality of life (HRQoL) in people with cognitive impairments (CI)a Delphi study.

Arch Gerontol Geriatr

August 2024

Institute of Social Medicine and Health Systems Research, Faculty of Medicine, Otto von Guericke Universität Magdeburg, Magdeburg, Sachsen-Anhalt, Germany.

Background: The prevalence of impairments of cognitive functions is expected to increase. Enhancing the QoL of those affected is important. HRQoL in people with CI can be assessed by self-report, proxy-report or observation but there is uncertainty how to best assess HRQoL in people with CI, and which assessment method is most appropriate.

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Intensification of moisture separation in the pulp convective drying process with ultrasound-assisted method.

Bioresour Technol

February 2024

Fraunhofer Institute for Systems and Innovation Research ISI, 76139 Karlsruhe, Germany; Copernicus Institute of Sustainable Development, Utrecht University, 3584 CB Utrecht, Netherlands.

Traditional pulp convective drying (CD) is time-consuming and energy-intensive. This study aimed to assess the drying performance of pulp using ultrasound-assisted drying (UAD) and compared it with CD to intensify moisture separation. UAD was found to be fast and efficient with high effective moisture diffusivity of 2.

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Survey of drug use and its association with herd-level and farm-level characteristics on German dairy farms.

J Dairy Sci

May 2024

Faculty of Veterinary Medicine, Institute of Pharmacology and Toxicology, Justus Liebig University Giessen, D-35392 Giessen, Germany.

The use of veterinary drugs is of similar importance to that of human drugs in addressing health challenges. In this context, pharmaceuticals and their metabolites inevitably enter soil and water in unknown quantities. Therefore, this study collects and analyzes drug data from 2020 for 50 dairy farms located in Germany.

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Supporting transitions to sustainable, resilient agri-food systems is important to ensure stable food supply in the face of growing climate extremes. Agroecology, or diversified farming systems based on ecological principles, can contribute to such systems. Based on a qualitative case study of Nicaragua, a forerunner in agroecology, this paper unpacks an ongoing transition to agroecology, focusing on how the transition has been shaped by knowledge flows and intermediary actors.

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Background: Chronic kidney disease (CKD), a major public health problem with differing disease etiologies, leads to complications, comorbidities, polypharmacy, and mortality. Monitoring disease progression and personalized treatment efforts are crucial for long-term patient outcomes. Physicians need to integrate different data levels, e.

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Background: Climate change is a major threat to human health and has direct and indirect impacts on the human psyche.

Methods: To assess the state of knowledge on the impact of climate change on mental health in Germany, a scoping review was conducted for the focus topics extreme weather events, temperature increase, intra-psychological processing, sociological aspects, and resilience factors. Ten studies met the inclusion criteria of the searches in the databases Academic Search Complete, CINAHL, PubPsych, PubMed, and PsychInfo.

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Purpose: Environmental aspects and sustainability are becoming increasingly important. In addition to energy consumption, the consumption and environmental discharge of contrast agents pose a particular challenge. Because of their desired stability, X-ray contrast agents (XCAs) are deposited in surface water at a rate of up to 400 tons per year.

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The acceptance of battery electric vehicles (BEVs) is continuously increasing to mitigate CO emissions, resulting in an increase in the future material demand for LIBs. Therefore, the proper handling of End-of-life (EOL) BEV batteries requires careful attention to mitigate the supply chain issues for future LIBs materials, especially in Asia. A system dynamics model assessment was performed to evaluate the EOL of LIBs by considering the dynamic lifespan, recovery rate, and economic value under three growth rate scenarios in Asia from 2022 to 2030, depending on the battery chemistry over time.

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Residential buildings with heat pumps show promising possibilities for demand-side management. The operation optimization of such heating systems can lead to cost reduction and, at the same time, change electricity consumption patterns, which is especially prevalent in the case of a variable price signal. In this work, we deal with the following question: How does the volatility of a variable retail electricity price change the energy consumption of buildings with a smart energy management system?  In this context, we take Austria as an example and aggregate the findings of individual households to the national stock of single-family houses.

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Article Synopsis
  • Statistical analyses are crucial for understanding rare disorders like AA amyloidosis, and traditional datasets are often insufficient; thus, time series analysis is proposed for predicting organ response to treatment based on temporal variations.
  • The study utilized vector autoregression (VAR) to model data over 4.5 years from a patient with AA amyloidosis, revealing that changes in inflammatory activity could forecast levels of alkaline phosphatase (AP) and that AP levels predict proteinuria.
  • The findings highlight the effectiveness of time series analysis in rare diseases and emphasize the importance of using various clinical markers to track AA amyloidosis progression and treatment response.
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This article defines the term valorization of biodiversity and ecosystem services (BES) measures, as distinguished from their valuation, and underpins it with an assessment of private valorization examples along the agri-food value chain. Valorization incentivizes measures for promoting BES, while valuation refers to its quantification. Valuation can be a step of valorization but is not indispensable.

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Machine learning-driven clinical decision support systems (ML-CDSSs) seem impressively promising for future routine and emergency care. However, reflection on their clinical implementation reveals a wide array of ethical challenges. The preferences, concerns and expectations of professional stakeholders remain largely unexplored.

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Mind the goal: Trade-offs between flexibility goals for controlled electric vehicle charging strategies.

iScience

February 2023

Group for Sustainability and Technology, ETH Zurich, 8006 Zurich, Switzerland.

Electrification is one of the main decarbonization strategies for transportation. While uncontrolled electric vehicle (EV) charging can challenge the electricity system, controlled EV charging can offer flexibility. Using an agent-based model, we simulate combinations of two elements of EV charging, plug-in behaviors and controlled-charging processes, and measure flexibility goals with four metrics: total load shift, increase in midday load, peak reduction, and flatness of the load curve.

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How can data-driven citizen science activities supporting health research and services provision meet the needs of unrepresented and neglected groups through increased personalization? In this short Perspective, we explore "personalization from below" as a concept designating forms of citizen science-based data altruism that specifically push for and enact a different understanding of both health services and personalization. We develop the argument that such phenomenon taking place outside "institutionalized" health-related practices could make health services provision more inclusive of values that matter to people. We contextualize instances of "personalization from below," discuss related data governance models and alternative public health interventions, and conclude by outlining three key arguments in favor of "personalization from below" and future research avenues.

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There is intensive debate about the use of AI-based systems in social work, although the degree of digitalization is low in many jurisdictions. In this article, the findings of research about the process of case recording in client information systems for social work are presented. Between January and June 2020, 20 guideline-based interviews were conducted with experts working for funding agencies or service providers.

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The COVID-19 pandemic posed new and manifold challenges to organizations and their operations worldwide. Conformity assessment bodies (CABs), such as testing or medical laboratories, certification, and inspection bodies, were also affected by the associated disruptions. Their role in this crisis is highly relevant, as CABs are essential pillars of the quality infrastructure: their activities ensure that products and services meet requirements as defined in standards and regulations, thereby contributing to their safety and reliability.

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