29 research outputs found

    Spin- and Isospin-Dependent Momentum Distributions in Fermi Liquids at Non-zero Temperatures

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    We explore the structure of momentum distributions of Fermi liquids such as completely polarized 3He, unpolarized liquid 3He, and nuclear matter at nonzero temperatures. The study employs correlated density matrix theory and adapts the algorithm to deal with spin- and isospin-dependent correlations. The analysis is based on the factor decomposition of the one-body reduced density matrix. The decomposition permits to distinguish between statistical correlations and dynamic (direct) correlations. Together with the concept of renormalized fermions the formal results open the pathway to investigate the thermal boundaries of normal Fermi phases within correlated density matrix theory. We also discuss possible transitions from normal phases to anomalous fermion phases triggered by statistical correlations or by periodic phase-phase structures

    Mindfulness and skills-based eHealth intervention to reduce distress in cancer-affected patients in the Reduct trial: Intervention protocol of the make it training optimized.

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    Introduction Cancer-affected patients experience high distress due to various burdens. One way to expand psycho-oncological support is through digital interventions. This protocol describes the development and structure of a web-based psycho-oncological intervention, the Make It Training optimized. This intervention is currently evaluated in the Reduct trial, a multicenter randomized controlled trial. Methods The Make It Training optimized was developed in six steps: A patient need and demand assessment, development and acceptability analysis of a prototype, the formation of a patient advisory council, the revision of the training, implementation into a web app, and the development of a motivation and evaluation plan. Results Through a process of establishing cancer-affected patients' needs, prototype testing, and patient involvement, the Make It Training optimized was developed by a multidisciplinary team and implemented in a web app. It consists of 16 interactive self-guided modules which can be completed within 16 weeks. Discussion Intervention protocols can increase transparency and increase the likelihood of developing effective web-based interventions. This protocol describes the process and results of developing a patient-oriented intervention. Future research should focus on the further personalization of web-based psycho-oncological interventions and the potential benefits of combining multiple psychotherapeutic approaches

    Application of Ambient-Pressure X-ray Photoelectron Spectroscopy for the In-situ Investigation of Heterogeneous Catalytic Reactions

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    The desire to carry out X-ray photoelectron spectroscopy (XPS) measurements at elevated pressure conditions has existed for decades and numerous research groups have contributed to the development of a modern form of XPS that can be used at gas pressures up to about 7 mbar. This technique is currently known as ambient-pressure (AP) XPS. This chapter provides an overview of the historical development of AP-XPS addressing specific technical advances and their relevance. It provides examples of the application of AP-XPS. These examples demonstrate the versatility of this technique for the investigation of catalytically relevant systems ranging from structurally well-defined systems composed of adsorbates on single crystal surfaces and nanoparticles, the catalytic growth of nanotubes, to operating electrochemical cells and industrial heterogeneous catalysts

    Automated pain detection: Comparing the performance of multiple convolutional neural networks

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    Experimente mit Hefe (2)

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    Unterstützung des Menschen in Cyber-Physical-Production-Systems

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    Holographic ArachnoTherapy

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    Interdisciplinary engineering of cyber-physical production systems

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    In the context of cross-disciplinary and cross-company cooperation, several challenges in developing manufacturing systems are revealed through industrial use cases. To tackle these challenges, two propositions are used in parallel. First, coupling technical models representing different content areas facilitates the detection of boundary crossing consequences, either by using a posteriori or a priori connection. Second, it is necessary to enrich these coupled technical models with team and organizational models as interventions focusing on the collaboration between individuals and teams within broader organizational conditions. Accordingly, a combined interdisciplinary approach is proposed. The feasibility and benefits of the approach is proven with an industrial use case. The use case shows that inconsistencies among teams can be identified by coupling engineering models and that an integrated organizational model can release the modelling process from communication barriers
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