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In der vorliegenden Bachelorarbeit geht es um eine Auseinandersetzung
geführter Diskurse über die Thematisierung und Umsetzung von
Partizipation von Kindern und Jugendlichen in der Kinder- und
Jugendpsychiatrie. Darüber hinaus wird die Frage gestellt, welche
Rolle der Sozialen Arbeit dabei zugeschrieben wird. Kern dieser Arbeit
stellt das Herausarbeiten eines Partizipationsverständnisses dar,
wobei Partizipation als ein Menschenrecht verstanden wird, das Kindern
und Jugendlichen zusteht und eingefordert werden muss.
OAFuser: Online Adaptive Extended Object Tracking and Fusion using automotive Radar Detections
(2020)
This paper presents the Online Adaptive Fuser: OAFuser, a novel method for online adaptive estimation of motion and measurement uncertainties for efficient tracking and fusion by applying a system of several estimators for ongoing noise along with the conventional state and state covariance estimation. In our system, process and measurement noises are estimated with steady-state filters to obtain combined measurement noise and process noise estimators for all sensors in order to obtain state estimation with a linear Minimum Mean Square Error (MMSE) estimator and accelerating the system’s performance. The proposed adaptive tracking and fusion system was tested based on high fidelity simulation data and several real-world scenarios for automotive radar, where ground truth data is available for evaluation. We demonstrate the proposed method’s accuracy and efficiency in a challenging, highly dynamic scenario where our system is benchmarked with Multiple Model filter in terms of error statistics and run time performance.
Our current mobility paradigm increasingly faces economic, ecological, and social limits in urban areas. The aim of this paper is to analyse if a fleet of shared autonomous electric vehicles (AEVs) can meet these challenges while satisfying the current requirements of privately-owned internal combustion engine vehicles (ICEVs). Therefore, analytical models have been developed to simulate and investigate the impacts of mobility behaviour in Berlin and Stuttgart (Germany). The collected data were used to calculate the fleet size, the energy consumption, the emission of particulate matter, nitrogen oxides, and the carbon footprint of different shared AEVs in comparison with privately owned ICEVs. The approach shows that the system of a shared AEV fleet could lower externalities (accident avoidance, traffic jams, free spaces, parking costs and lifetime losses) in cities and generate cost benefits for customers.
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.
Jugendhilfeplanung
(2020)
Application of Induction Thermography for Detection of Near Surface Defects in Steel Products
(2020)
Partizipative Forschung
(2020)
Dieser Open-Access-Sammelband bietet eine gute Grundlage für den Einstieg in die partizipative Forschung allgemein und in die Partizipative Gesundheitsforschung. Es werden Forschungsansätze und Methoden für die Erhebung und Auswertung in partizipativen Forschungsprozessen vorgestellt und anhand von Beispielstudien diskutiert. Partizipativ forschen heißt, die Menschen, deren Lebens- und Arbeitsbereiche erforscht werden, über alle Phasen des Forschungsprozesses zu beteiligen. Partizipation dient dem Erkenntnisgewinn, aber auch dem Ziel, die soziale Wirklichkeit der Menschen, ihr Leben und Wohlbefinden zu verbessern.
Slips and stumbles are main causes of falls and result in serious injuries. Balance training is widely applied for preventing falls across the lifespan. Subdivided into two main intervention types, biomechanical characteristics differ amongst balance interventions tailored to counteract falls: conventional balance training (CBT) referring to a balance task with a static ledger pivoting around the ankle joint versus reactive balance training (RBT) using externally applied perturbations to deteriorate body equilibrium. This study aimed to evaluate the efficacy of reactive, slip-simulating RBT compared to CBT in regard to fall prevention and to detect neuromuscular and kinematic dependencies. In a randomized controlled trial, 38 participants were randomly allocated either to CBT or RBT. To simulate stumbling scenarios, postural responses were assessed to posterior translations in gait and stance perturbation before and after 4 weeks of training. Surface electromyography during short- (SLR), medium- (MLR), and long-latency response of shank and thigh muscles as well as ankle, knee, and hip joint kinematics (amplitudes and velocities) were recorded. Both training modalities revealed reduced angular velocity in the ankle joint (P < 0.05) accompanied by increased shank muscle activity in SLR (P < 0.05) during marching in place perturbation. During stance perturbation and marching in place perturbation, hip angular velocity was decreased after RBT (P from TTEST, Pt < 0.05) accompanied by enhanced thigh muscle activity (SLR, MLR) after both trainings (P < 0.05). Effect sizes were larger for the RBT-group during stance perturbation. Thus, both interventions revealed modified stabilization strategies for reactive balance recovery after surface translations. Characterized by enhanced reflex activity in the leg muscles antagonizing the surface translations, balance training is associated with improved neuromuscular timing and accuracy being relevant for postural control. This may result in more efficient segmental stabilization during fall risk situations, independent of the intervention modality. More pronounced modulations and higher effect sizes after RBT in stance perturbation point toward specificity of training adaptations, with an emphasis on the proximal body segment for RBT. Outcomes underline the benefits of balance training with a clear distinction between RBT and CBT being relevant for training application over the lifespan.
This paper describes the modelling, simulation and energy management of a fuel cell hybrid heavy-duty truck. For this purpose, a longitudinal dynamic model of a 26t truck was set up and the load requirement for the drive train was determined based on a driving cycle. To meet this load requirement as efficiently and dynamically as possible three different energy management strategies were implemented, tested and the impact on the overall system was analysed. In addition, the behaviour of the hybrid system with the various energy management strategies with different battery capacity is shown and analysed.
This paper provides an analysis of the trend in autonomous driving traffic and the development of infrastructural support, whereas the requirements on the infrastructural support will be analyzed. Then selected traffic scenes will be implemented in an autonomous driving simulator tool in order to figure out the required parameters to assist the autonomous vehicle from the infrastructure.
untitled document
(2020)
Under Construction!
(2020)
Klassiker der Hochschuldidaktik" als disziplinäre Ordnung für ein interdisziplinäres Arbeitsfeld
(2020)
Die Bedeutung der Digitalisierung für Berufliche Bildung und Fachkräftesicherung in der Pflege
(2020)
Zum Beispiel Pflege – Fragen an den arbeitssoziologischen Topos der Subjektivierung von Arbeit
(2020)
Die Zukunft ist virtuell
(2020)
untitled document
(2020)
Lasst uns nicht alleine!
(2020)
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.
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.
Recently the production of electric cars is increasing worldwide. The main target is to lower the greenhouse gas emissions. Even if an electrified vehicle is locally emission-free the manufacturing of lithium ion batteries are producing significant amounts of CO2. In order to decrease the air pollution governments are considering recycling programs to extend battery life and usage of important raw materials. A new approach to recover LiNixMnyCozO2 (NMC) particles while saving the chemical and morphological properties using water was presented by Tim Sieber et al. [1]. With the presented study, we are focusing on the analysis of the effects on the Global Warming Potential (GWP) for the water based recycling process based on a reuse of NMC material in new batteries.
It is possible to reduce the ecological damage of the manufacturing process of Li-Ion battery cells even with little amounts of recovered cathode material that is used for the production of new battery cells. Based on the suggestion that 95% of the NMC cathode material can be recovered by the hydrometallurgical recovery and the reuse of 10% within the production of new batteries a reduction of the GWP by 7% ,can be identified for the cathode materials. For other impact categories such as Acidification Potential (AP), Eutrophication Potential (EP), and Photochemical Ozone Creation Potential (POCP), savings of 10%, 11%, and 8 % can be achieved respectively.
The studied water based recycling process can be quoted as environment-friendly and leads to a reduction of all impact categories by a re-use of 10% recovered NMC material. Based on this knowledge an additional recycling on substance level is recommended.
Partner oder Konkurrenten? Die Automotive-Branche auf der Suche nach neuen Kooperationsstrategien
(2020)
Menschen wachsen lassen!
(2020)