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This easy-to-understand introduction to SAP S/4HANA guides you through the central processes in sales, purchasing and procurement, finance, production, and warehouse management using the model company Global Bike. Familiarize yourself with the basics of business administration, the relevant organizational data, master data, and transactional data, as well as a selection of core business processes in SAP. Using practical examples and tutorials, you will soon become an SAP S/4HANA professional!
Tutorials and exercises for beginners, advanced users, and experts make it easy for you to practice your new knowledge. The prerequisite for this book is access to an SAP S/4HANA client with Global Bike version 4.1.
- Business fundamentals and processes in the SAP system
- Sales, purchasing and procurement, production, finance, and warehouse management
- Tutorials at different qualification levels, exercises, and recap of case studies
- Includes extensive download material for students, lecturers, and professors
Domain experts regularly teach novice students how to perform a task. This often requires them to adjust their behavior to the less knowledgeable audience and, hence, to behave in a more didactic manner. Eye movement modeling examples (EMMEs) are a contemporary educational tool for displaying experts’ (natural or didactic) problem-solving behavior as well as their eye movements to learners. While research on expert-novice communication mainly focused on experts’ changes in explicit, verbal communication behavior, it is as yet unclear whether and how exactly experts adjust their nonverbal behavior. This study first investigated whether and how experts change their eye movements and mouse clicks (that are displayed in EMMEs) when they perform a task naturally versus teach a task didactically. Programming experts and novices initially debugged short computer codes in a natural manner. We first characterized experts’ natural problem-solving behavior by contrasting it with that of novices. Then, we explored the changes in experts’ behavior when being subsequently instructed to model their task solution didactically. Experts became more similar to novices on measures associated with experts’ automatized processes (i.e., shorter fixation durations, fewer transitions between code and output per click on the run button when behaving didactically). This adaptation might make it easier for novices to follow or imitate the expert behavior. In contrast, experts became less similar to novices for measures associated with more strategic behavior (i.e., code reading linearity, clicks on run button) when behaving didactically.
Intensive poultry operation systems emit a considerable volume of inorganic and organic matter in the surrounding environment. Monitoring cleaning properties of exhaust air cleaning systems and to detect small but significant changes in emission characteristics during a fattening cycle is important for both emission and fattening process control. In the present study, we evaluated the potential of near-infrared spectroscopy (NIRS) combined with chemometric techniques as a monitoring tool of exhaust air from poultry operation systems. To generate a high-quality data set for evaluation, the exhaust air of two poultry houses was sampled by applying state-of-the-art filter sampling protocols. The two stables were identical except for one crucial difference, the presence or absence of an exhaust air cleaning system. In total, twenty-one exhaust air samples were collected at the two sites to monitor spectral differences caused by the cleaning device, and to follow changes in exhaust air characteristics during a fattening period. The total dust load was analyzed by gravimetric determination and included as a response variable in multivariate data analysis. The filter samples were directly measured with NIR spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA), and factor analysis (FA) were effective in classifying the NIR exhaust air spectra according to fattening day and origin. The results indicate that the dust load and the composition of exhaust air (inorganic or organic matter) substantially influence the NIR spectral patterns. In conclusion, NIR spectroscopy as a tool is a promising and very rapid way to detect differences between exhaust air samples based on still not clearly defined circumstances triggered during a fattening period and the availability of an exhaust air cleaning system.
Meitner-Auger-electron emitters have a promising potential for targeted radionuclide therapy of cancer because of their short range and the high linear energy transfer of Meitner-Auger-electrons (MAE). One promising MAE candidate is 197m/gHg with its half-life of 23.8 h and 64.1 h, respectively, and high MAE yield. Gold nanoparticles (AuNPs) that are labelled with 197m/gHg could be a helpful tool for radiation treatment of glioblastoma multiforme when infused into the surgical cavity after resection to prevent recurrence. To produce such AuNPs, 197m/gHg was embedded into pristine AuNPs. Two different syntheses were tested starting from irradiated gold containing trace amounts of 197m/gHg. When sodium citrate was used as reducing agent, no 197m/gHg labelled AuNPs were formed, but with tannic acid, 197m/gHg labeled AuNPs were produced. The method was optimized by neutralizing the pH (pH = 7) of the Au/197m/gHg solution, which led to labelled AuNPs with a size of 12.3 ± 2.0 nm as measured by transmission electron microscopy. The labelled AuNPs had a concentration of 50 μg (gold)/mL with an activity of 151 ± 93 kBq/mL (197gHg, time corrected to the end of bombardment).
Die Applikation „Slot“ ist eine lehrbegleitende Kommunikations- und Kooperationsplattform, die eine zeitgemäße Lehre, Studienorganisation und Präsentation zulässt.
Slot dient dabei nicht nur als Hilfestellung für Lehrende und Lernende, sondern ermöglicht auch die vollständige Durchführung von effizientem Unterricht. Den Lernenden soll maximale Kontrolle zur Erarbeitung ihres Wissens und Übersichtlichkeit in der Kommunikation geboten werden. Um für die unterschiedlichen Nutzergruppen ein benutzerfreundliches System zu schaffen, steht eine breitgefächerte Funktionsauswahl zur Verfügung: Videochat, Messenger, VR-Raum, Whiteboard, Aufgabenübersicht, Datenabgabe, Kalender, Profil und ToDo-List. Die Nutzungsmöglichkeiten können individuell auf die unterschiedlichen Nutzergruppen und deren entsprechenden Bedürfnissen angepasst werden.
The minimum dissipation requirement of the thermodynamics of irreversible processes is applied to characterize the existence of laminar and non-laminar, and the co-existence of laminar and turbulent flow zones. Local limitations of the different zones and three different forms of transition are defined. For the Couette flow a non-local “corpuscular” flow mechanism explains the logarithmic law-of-the-wall, maximum turbulent dimensions and a value x=0,415 for the v. Kármán constant. Limitations of the logarithmic law near the wall and in the centre of the experiment are interpreted.
Analyzing thermodynamic non-equilibrium processes, like the laminar and turbulent fluid flow, the dissipation is a key parameter with a characteristic minimum condition. That is applied to characterize laminar and turbulent behaviour of the Couette flow, including its transition in both directions. The Couette flow is chosen as the only flow form with constant shear stress over the flow profile, being laminar, turbulent or both. The local dissipation defines quantitative and stable criteria for the transition and the existence of turbulence. There are basic results: The Navier Stokes equations cannot describe the experimental flow profiles of the turbulent Couette flow. But they are used to quantify the dissipation of turbulent fluctuation. The dissipation minimum requires turbulent structures reaching maximum macroscopic dimensions, describing turbulence as a “non-local” phenomenon. At the transition the Couette flow profiles and the shear stress change by a factor ≅ 5 due to a change of the “apparent” turbulent viscosity by a calculated factor ≅ 27. The resulting difference of the laminar and the turbulent profiles results in two different Reynolds numbers and different loci of transition, which are identified by calculation.
The “1. Stokes’ problem”, the “suddenly accelerated flat wall”, is the oldest application of the Navier-Stokes equations. Stokes’ solution of the “problem” does not comply with the mathematical theorem of Cauchy and Kowalewskaya on the “Uniqueness and Existence” of solutions of partial differential equations and violates the physical theorem of minimum entropy production/dissipation of the Thermodynamics of Irreversible Processes. The result includes very high local shear stresses and dissipation rates. That is of special interest for the theory of turbulent and mixed turbulent/laminar flow. A textbook solution of the “1. Stokes Problem” is the Couette flow, which has a constant sheer stress along a linear profile. A consequence is that the Navier-Stokes equations do not describe any S-shaped part of a turbulent profile found in any turbulent Couette experiment. The paper surveys arguments referring to that statement, concerning the history of >150 years. Contrary to this there is always a Navier-Stokes solution near the wall, observed by a linear part of the Couette profile. There a turbulent description (e.g. by the logarithmic law-of-the-wall) fails completely. That is explained by the minimum dissipation requirement together with the Couette feature τ = const. The local co-existence of a turbulent zone and a laminar zone near the wall is stable and observed also at high Reynolds-Numbers.
Welchen Einfluss haben Erinnerungen auf unser Bewusstsein und wie definieren sie uns als Individuum? Erinnerungen gehen verloren — sei es durch einfaches Vergessen, traumatische Erlebnisse oder Krankheit. Aber wie sehr wirkt sich das Vergessen auf unsere Persönlichkeit aus? Wenn wichtige Erlebnisse aus unserer Erinnerung verschwinden, bleiben wir dann noch wir selbst?
Für die gestalterische Auseinandersetzung mit diesen Fragen wurde das Medium Film gewählt. Der Film führt uns auf eine Reise durch die Erinnerungs- und Gedankenwelt einer Person, die ihre Erinnerung verloren hat. Mit der Hilfe des Psychologen Dr. Daniel Rose soll ein Memory-Backup durchgeführt werden, um die verlorenen Erinnerungen wiederherzustellen. Dabei sollen ihre Erinnerungen neu aufgesetzt werden, um ihr altes Bewusstsein zurückzugewinnen. Stück für Stück werden die verlorenen Erinnerungen in verschiedenen Bewusstseinsphasen zusammengesetzt und mit ihnen löst sich das Rätsel ihres Verschwindens.
Competence Developing Games (CDGs) are a new concept of how to think about games with serious intentions. In order to emphasize on this topic, a new framework has been developed. It basically relies on learning and motivation theories. This ‘motivational Competence Developing Game Framework’ demonstrates how it is possible to use these theories in a CDG development process. The theoretical derivation and use of the framework is explained in this paper.
Dass der Stress im Krankenhaus eine Belastung für das Klinikpersonal darstellt, ist eine allseits bekannte Tatsache. Das liegt an dem anstrengenden Klinikalltag, welcher die Mitarbeiter:innen auf Belastungsprobe stellt. Lange Dienste und Überstunden, wenig Pausen und hohe Arbeitsverdichtung, Nacht- und Schichtdienst, zudem auch die aufwendige Dokumentation und ̈Bürokratie. Timewise behandelt die Thematik der Dienstplanerstellung im Krankenhaus unter der Berücksichtigung der psychischen und physischen Gesundheit des Klinikpersonals im Nacht- und Schichtdienst. Essenzielle Funktionen sind kürzere Kommunikationswege und eine gute Übersicht über den Soll-Ist-Abgleich inklusive Überstunden, Minusstunden, Abwesenheiten und den monatlichen Lohn. Der einfache Schichttausch und die Option der Berücksichtigung individueller Präferenzen und Wünsche ermöglicht es dem Personal, die Arbeit und das private Leben besser miteinander vereinen zu können, was sich positiv auf die Arbeitszufriedenheit auswirkt.
ADIE : Keramische Fassaden- und Wandverkleidung - Funktion und Wirkung von Schönheit im Design
(2023)
„ADIE“ ist eine Produktfamilie von Keramikplatten und Fliesen mit dreidimensionaler Oberfläche, welche durch Form und Farbe Schönheit zum Ausdruck bringen. Sie sind sowohl im Kontext der Architektur als Fassadenverkleidung anwendbar als auch im Innenbereich als Wandverkleidung. Die Fähigkeit von Schönheit, unsere Umgebung zu transformieren, nimmt eine leitende Rolle in dieser Arbeit ein. Als Inspirationsquelle für die Entwürfe dienten Dinge, die dem allgemeinen Schönheitsempfinden entsprechen: Wasser, Blüten, der Himmel und andere Naturphänomene. Diese wurden abstrahiert, in Reliefs übersetzt und in drei unterschiedliche Module weiterentwickelt. Sie sind konzeptionell frei skalierbar und wurden in Kleinserie im Gussverfahren prototypisiert. Mit „ADIE“ sollte auf die Funktion von Schönheit im Design Bezug genommen werden und etwas entstehen, das einfach „nur“ schön ist.
Seit Jahrhunderten tragen Hebammen die Verantwortung für neues Leben und geben ihre Erfahrungen und ihr Können weiter. Trotz dieser ehrwürdigen Aufgabe gehören sie zu einer kleinen Berufsgruppe, die viel zu oft unterschätzt, überlastet und unterbezahlt wird. Sie sind Begleiter*innen in einer der sensibelsten und emotionalsten Zeiten des Lebens. Die Unterstützung einer Hebamme gewährleistet Aufklärung und Beistand während der Schwangerschaft, der Geburt und der Zeit im Wochenbett.
Das Projekt »Die Hebamme« ist ein Berufsportrait. Die Arbeit gibt Einblicke in die Tätigkeit und seine verschiedenen Bereiche und erzählt dabei hauptsächlich in Bildern. Zusätzlich berichten Hebammen aus unterschiedlichen Blickwinkeln über ihre Arbeit. Dieses Portrait stellt die Realtität der Arbeit dar und soll die Bedeutung der Tätigkeit näher bringen.
Damit sich Kinder in einer zunehmend digitalisierten Welt zurechtfinden können, ist die Schulung von Medienkompetenz unerlässlich. Als Digital-Analog-Hybrid-Game ermöglicht „Einmal Gezheim und zurück“ die spielerische Auseinandersetzung mit verschiedenen Informationsquellen. Zum Lösen der integrierten Rätsel ist der Einsatz der beiliegenden Print-Komponenten erforderlich, sodass die Spielenden automatisch Bildschirmpausen einlegen, um sich mit einem analogen Recherche-Medium zu beschäftigen. Die Handlung wurde speziell für das Projekt konzipiert: Im Zentrum der Mystery-Erzählung stehen die 13-jährige Britta und ihr Nachbar Herr Erdmann, der 1973 spurlos verschwindet. Mithilfe der Notizen des Verschollenen, die im gedruckten Teil des Spiels zu finden sind, lösen die Spielenden in einem spannenden Point-and-Click-Adventure das Rätsel um die fiktive Stadt Gezheim, schwarze Löcher und ein vergessenes Alienvolk...
Elektronische Musik umgibt uns alle. Der Einfluss elektronischer Musikproduktion auf moderne Popularmusik ist nicht von der Hand zu weisen und ihre Produktionstechniken für heutige Standards unverzichtbar. Über die Jahre ihrer Entwicklung und den dabei entstandenen Musikrichtungen verschwanden die individuellen Charakteristika der verschiedenen Subgenres allerdings oft einfach unter der Sammelbezeichnung elektronischer Musik.
»Electrovisuals« stellt die auditiven Eigenschaften elektronischer Musik in Form von klaren Infografiken dar und sorgt damit für ein besseres Verständnis von Rhythmus und Struktur der Songs. Die verschiedenen Subgenres werden multimedial inszeniert und einander gegenübergestellt, um Ähnlichkeiten und Unterschiede zu betonen.
Mithilfe seiner Aufbereitung stellt das Projekt die hohe Diversität elektronischer Musik heraus und bereitet sie eindrucksvoll und greifbar auf.
In Valais, Switzerland, Scots pines (Pinus sylvestris L.) are declining, mainly following drought. To assess the impact of drought on tree growth and survival, an irrigation experiment was initiated in 2003 in a mature pine forest, approximately doubling the annual precipitation. Tree crown transparency (lack of foliage) and leaf area index (LAI) were annually assessed. Seven irrigated and six control trees were felled in 2006, and needles, stem discs and branches were taken for growth analysis. Irrigation in 2004 and 2005, both with below-average precipitation, increased needle size, area and mass, stem growth and, with a 1-year delay, shoot length. This led to a relative decrease in tree crown transparency (−14%) and to an increase in stand LAI (+20%). Irrigation increased needle length by 70%, shoot length by 100% and ring width by 120%, regardless of crown transparency. Crown transparency correlated positively with mean needle size, shoot length and ring width and negatively with specific leaf area. Trees with high crown transparency (low growth, short needles) experienced similar increases in needle mass and growth with irrigation than trees with low transparency (high growth, long needles), indicating that seemingly declining trees were able to ‘recover’ when water supply became sufficient. A simple drought index before and during the irrigation explained most of the variation found in the parameters for both irrigated and control trees.
A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data come from a specific distribution, an integral type test based on a Cramér-von-Mises statistic is suggested. The convergence in distribution of the test statistic under the null hypothesis is proved and the test's consistency is concluded. Moreover, properties under local alternatives are discussed. Applications are given for data of huge but finite dimension and for functional data in infinite dimensional spaces. A general approach enables the treatment of incomplete data. In simulation studies the test competes with alternative proposals.
This paper considers a paired data framework and discusses the question of marginal homogeneity of bivariate high-dimensional or functional data. The related testing problem can be endowed into a more general setting for paired random variables taking values in a general Hilbert space. To address this problem, a Cramér–von-Mises type test statistic is applied and a bootstrap procedure is suggested to obtain critical values and finally a consistent test. The desired properties of a bootstrap test can be derived that are asymptotic exactness under the null hypothesis and consistency under alternatives. Simulations show the quality of the test in the finite sample case. A possible application is the comparison of two possibly dependent stock market returns based on functional data. The approach is demonstrated based on historical data for different stock market indices.
With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs.
Application of polymers in textile reinforced concrete : from the interface to construction elements
(2006)
Composite improvement of textile reinforced concrete by polymeric impregnation of the textiles
(2006)
Mikrokleben
(2005)
This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.
The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.
Based on an identifying Volterra type integral equation for randomly right censored observations from a lifetime distribution function F, we solve the corresponding estimating equation by an explicit and implicit Euler scheme. While the first approach results in some known estimators, the second one produces new semi-parametric and pre-smoothed Kaplan–Meier estimators which are real distribution functions rather than sub-distribution functions as the former ones are. This property of the new estimators is particular useful if one wants to estimate the expected lifetime restricted to the support of the observation time.
Specifically, we focus on estimation under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. We show that some estimated linear functionals which are based on the new semi-parametric estimator are strong consistent, asymptotically normal, and efficient under SRCM. In a small simulation study, the performance of the new estimator is illustrated under moderate sample sizes. Finally, we apply the new estimator to a well-known real dataset.