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"Ausstiege" als "Umstiege"
(2021)
"Schränkchen" im Wandel
(2023)
...und wie geht das genau?
(2021)
In our present paper, we approach the mixed problem with initial and boundary conditions, in the context of thermoelasticity without energy dissipation of bodies with a dipolar structure. Our first result is a reciprocal relation for the mixed problem which is reformulated by including the initial data into the field equations. Then, we deduce a generalization of Gurtin’s variational principle, which covers our generalized theory for bodies with a dipolar structure. It is important to emphasize that both results are obtained in a very general context, namely that of anisotropic and inhomogeneous environments, having a center of symmetry at each point.
This study is concerned with the linear elasticity theory for bodies with a dipolar structure. In this context, we approach transient elastic processes and the steady state in a cylinder consisting of such kind of body which is only subjected to some boundary restrictions at a plane end. We will show that at a certain distance d=d(t), which can be calculated, from the loaded plan, the deformation of the body vanishes. For the points of the cylinder located at a distance less than d, we will use an appropriate measure to assess the decreasing of the deformation relative to the distance from the loaded plane end. The fact that the measure, that assess the deformation, decays with respect to the distance at the loaded end is the essence of the principle of Saint-Venant.
A Review on Dental Materials
(2020)
This book discusses the current biomaterials used for dental applications and the basic sciences underpinning their application. The most critical structures in the oral cavity are the teeth, which play a central role in speaking, biting, chewing, tasting and swallowing. Teeth consist of three types of tissue: the cementum, enamel and dentin, with bone and gingival tissue serving as supporting structures. Caries, tooth wear, trauma and mechanical defects can lead to severe facial conditions; however, correcting these defects remains a challenge for scientists and dentists. Presenting insights form a broad range of disciplines, including materials science, biology, physiology and clinical science, this book provides a timely review of the principles, processing and application of dental materials.
A Two-Day Case Study
(2021)
Abschätzung und Beschreibung des Kanteneinflusses auf die Dehnungs-Wöhlerlinie von Feinblechen
(2022)
Accelerated Life Cycle Analysis of Lithium-Ion-Batteries under Different Fast-charging Algorithms
(2023)
Acceptance of E-Motorcycles
(2023)
Acceptance of e-motorcycles
(2023)
Achtsamkeit
(2020)
Kognitive Verhaltenstherapie (KVT) wird als psychotherapeutisches Verfahren am häufigsten in der Praxis angewendet. In der evangelischen Seelsorgelehre wurde diese Form der Therapie hingegen bislang in ihrer Vielfalt kaum angemessen wahrgenommen. Dem Anspruch der aktuellen Poimenik, verschiedene psychologische und psychotherapeutische Strömungen kritisch zu diskutieren und zu rezipieren, wird mit diesem dialogischen Ansatz Rechnung getragen. Der vorliegende Tagungsband versammelt die Beiträge namhafter Autoren aus den Bereichen der Psychologie, Psychotherapie und Seelsorgelehre. Er trägt damit wesentlich zum Schließen dieser Wahrnehmungs- und Forschungslücke bei. Im Fokus des Bandes stehen dabei die Fragen um Spiritualität und Sinn, die in den Feldern von Seelsorge und Psychotherapie disziplinübergreifend von Bedeutung sind.
Achtsamkeit und Embodiment
(2021)
Achtsamkeit üben
(2018)
Achtsamkeitsübungen
(2022)
Additive manufacturing offers unique possibilities to produce complex components, which would not be possible or only very difficult to be realizable with conventional manufacturing processes. The potential of additive manufacturing of aluminum alloys has already been realized in prototyping, but still offers potential in the establishment of series applications. For enabling the establishment of additive manufacturing in series applications, comprehensive knowledge about the material behavior is necessary. This study examines the torsional behavior of additive manufactured AlSi10Mg samples and shows the correlation between tensile and torsional strength. Comprehensive torsion tests with strain gauges were performed and significant directional dependencies were shown. The correlation factor in the area of torsional yield strength/tensile yield strength and torsional strength/tensile strength was determined and was compared with the yield/failure conditions according to Tresca and von Mises.
Advance Care Planning
(2020)
Das internationale Konzept ‚Advance Care Planning (ACP)‘ etabliert sich in Deutschland sukzessive unter dem Begriff der „Gesundheitlichen Versorgungsplanung für die letzte Lebensphase“. Übergeordnetes Ziel von ACP ist es, Menschen die Möglichkeit zu geben, im Rahmen eines begleiteten Gesprächsprozesses zentrale Vorausverfügungen hinsichtlich ihrer gesundheitlichen Versorgung für Phasen der Nichteinwilligungsfähigkeit zu formulieren und durch eine entsprechende strukturelle Einbettung diesen antizipierten Willensäußerungen im Bedarfsfall Geltung zu verschaffen. Ausgehend von der Skizzierung zentraler Eckpunkte und Rahmungen des Konzeptes arbeitet der Beitrag reflexionswürdige ethische Implikationen und daran gebundene moralische Forderungen heraus, denn das Konzept ist äußerst komplex. Diese Ausführungen sind getragen davon, dass eine qualitätsvolle sowie eine ethisch vertretbare Realisierung des Konzeptes, eine qualitätsvolle Begleitung am Lebensende maßgeblich an das Bewusstsein und den Umgang der professionell im Gesundheitswesen tätigen Personen und Berufsgruppen gebunden ist, die moralischen Forderungen und ethischen Implikationen verantwortungsvoll im Blick zu behalten.
Advance Care Planning
(2022)
Advanced LaTeX in Academia
(2021)
Akustik
(2021)
Alles, was Rollen hat
(2022)
Ambivalenzen und Herausforderungen für die Praxisanleitung in der generalistischen Pflegeausbildung
(2023)
AMEE Consensus Statement
(2021)
Herein, the general constitutive equation of bi-phasic materials equipped with orientation tensor is presented in direct notation. The formulation is refined by some correction factors specific to natural fibre-reinforced composites; then, a planar case is derived. The necessity of local information is emphasised through the introduction of auxiliary maps, which included volume fraction and orientation data. A semi-analytical homogenisation method is introduced through finite element analysis. Auxiliary maps are shown to be a better alternative to the overall orientation of fibres. Global calculations are insensitive to local variations whilst appropriate auxiliary maps offer refined results. Considering the multidisciplinary application of orientation tensors, the proposed scheme can be used in all areas where local information cannot be disregarded.
An optimal control problem for equations with p-structure and its finite element discretization
(2022)
Analyse der Wirksamkeit des Harninkontinenzmanagements in einer geriatrischen Rehabilitationsklinik
(2020)
Analyzing and modeling the latency and jitter behavior of mixed industrial TSN and DetNet networks
(2022)
Anhang
(2021)
Antragsbefugnis gemeinsam sorgeberechtigter Eltern im einstweiligen Rechtsschutz gegen Inobhutnahme
(2023)
Application and machine learning methods for dynamic load point controls of electric vehicles (xEVs)
(2020)
From the customer's perspective, the appeal of electric vehicles depends on the simplicity and ease of their use, such as flexible access to electric power from the grid to recharge the batteries of their vehicles. Therefore, the expansion of charging infrastructure will be an important part of electric mobility. The related charging infrastructure is a big challenge for the load capacity of the grid connection without additional intelligent charge management: if the control of the charging process is not implemented, it is necessary to ensure the total of the maximum output of all xEVs at the grid connection point, which requires huge costs. This paper proposes to build a prediction module for forecasting dynamic charging load using machine learning (ML) techniques. The module will be integrated into a real charge management concept with optimization procedures for controlling the dynamic load point. The value of load forecasting through practical load data of a car park were taken to illustrate the proposed methods. The prediction performance of different ML methods under the same data condition (e.g., holiday data) are compared and evaluated.
Application of Induction Thermography for Detection of Near Surface Defects in Steel Products
(2020)
Approach to denoising of interfered 4-channel FMCW radar data using Convolutional Neural Network
(2023)
Approach to denoising of interfered 4-channel FMCW radar data using Convolutional Neural Network
(2023)
Armut und Stigmatisierung
(2023)