Refine
Has Fulltext
- no (117)
Year of publication
- 2017 (117) (remove)
Document Type
- Other (117) (remove)
Is part of the Bibliography
- yes (117)
Keywords
- Internet (2)
- MOOC (2)
- affect (2)
- carbon dioxide (2)
- embodied cognition (2)
- 2.5D Treemaps (1)
- Absorption kinetics (1)
- Aluminium (1)
- Aluminium adjuvants (1)
- Aufklarung (1)
- BMI (1)
- Bandwidth (1)
- Buntsandstein (1)
- CO2 storage monitoring (1)
- Cloud Native Applications (1)
- Cloud-Security (1)
- DPP-4 inhibitors (1)
- Dialysis patients (1)
- Digital Learning Factory (1)
- Dipeptidyl peptidase IV (1)
- Durkheim (1)
- Durkheim’s German Reception, Max Weber, Georg Simmel, Jürgen Habermas (1)
- E-Learning (1)
- ERPs (1)
- Educational Technology (1)
- Enlightenment (1)
- Exploratory interfaces (1)
- Gamification (1)
- Geoeletrical imaging (1)
- Growth faltering (1)
- Growth modelling (1)
- In vitro dissolution (1)
- Industrial IoT Competences (1)
- Information Visualization (1)
- Massive Open Online Courses (1)
- Media retrieval (1)
- Memory management (1)
- Mobile Learning (1)
- Mobiles (1)
- Mortality (1)
- Multi-perspective Views (1)
- Multidimensional scaling (1)
- Obesity (1)
- Offline-Enabled (1)
- Overview plus Detail (1)
- P300 (1)
- PHEMA (1)
- Parallel programming (1)
- Performance analysis (1)
- Photon Density Wave Spectroscopy (1)
- SAW impedance sensor (1)
- Secular trend (1)
- Security-as-a-Service (1)
- Serum intact-parathyroid hormone level (1)
- Strategic growth adjustment (1)
- Student Training (1)
- Toxicokinetic modelling (1)
- Treemaps (1)
- Ubiquitous (1)
- User study (1)
- Vocational Training (1)
- Vulnerability Assessment (1)
- abstract concepts (1)
- action words (1)
- acute kidney injury (1)
- age of acquisition (1)
- agreement processing (1)
- algae cultivation (1)
- anaphor resolution (1)
- bilingualism (1)
- blind feeling (1)
- brain rhythms (1)
- brain synchronization (1)
- carbon cycle (1)
- child development (1)
- climate change (1)
- coefficient of determination (1)
- complex networks (1)
- connectivity (1)
- contingent encounters (1)
- critical period for language (1)
- damage (1)
- data based model (1)
- digital rock physics (1)
- digital technologies (1)
- dissolved (1)
- e-learning (1)
- effective elastic properties (1)
- eighteenth century (1)
- emotions (1)
- encoding (1)
- enjoyment (1)
- epilepsy (1)
- exercise (1)
- feelings (1)
- fermentation (1)
- fiber spectroscopy (1)
- filler-gap dependencies (1)
- gas storage (1)
- geothermal reservoir (1)
- gliptins (1)
- graph analysis (1)
- historiography (1)
- human rights (1)
- hybrid nanomaterials (1)
- hydrogen (1)
- implicit (1)
- interference (1)
- ischemia reperfusion injury (1)
- language (1)
- language acquisition (1)
- learning (1)
- lifespan (1)
- mattering (1)
- memory (1)
- memory retrieval (1)
- mental simulation (1)
- meteorological extremes (1)
- methane (1)
- microfluidic (1)
- mobile phone (1)
- modernity (1)
- multiple light scattering (1)
- multivariate regression (1)
- neural synchonization (1)
- non-linear dynamics (1)
- norepinephrine (1)
- numerical (1)
- numerical simulation (1)
- old/new effect (1)
- permanent downhole electrode array (1)
- physical activity (1)
- process analytical technology (1)
- regulation (1)
- renewable energy (1)
- risk analysis (1)
- saline aquifer (1)
- scenario analysis (1)
- sensation (1)
- sensitive periods (1)
- sentence comprehension (1)
- smartphones (1)
- storage capacity (1)
- tablet computers (1)
- transcutaneous vagus nerve stimulation (1)
- tropical cyclones (1)
- vulnerability (1)
- water management (1)
- wondering (1)
Institute
- Institut für Biochemie und Biologie (22)
- Institut für Physik und Astronomie (17)
- Institut für Geowissenschaften (11)
- Department Sport- und Gesundheitswissenschaften (10)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (10)
- Department Psychologie (8)
- Institut für Ernährungswissenschaft (6)
- Department Linguistik (5)
- Institut für Informatik und Computational Science (5)
- Institut für Chemie (4)
Recently, Kocyan & Wiland-Szymańska (2016) have published a thorough research article on one of the outstanding members of the family Hypoxidaceae on the Seychelles, which resulted in the raise of a new genus (Friedmannia Kocyan & Wiland-Szymańska 2016: 60) to accommodate the former Curculigo seychellensis Bojer ex Baker (1877: 368). However, it has turned out that the name Friedmannia Chantanachat & Bold (1962: 45) already exists in literature for a green alga, which renders the new hypoxid genus illegitimate (Melbourne Code; McNeill et al. 2012). Therefore, we assign a new generic epithet to Curculigo seychellensis.
Selection of initial points, the number of clusters and finding proper clusters centers are still the main challenge in clustering processes. In this paper, we suggest genetic algorithm based method which searches several solution spaces simultaneously. The solution spaces are population groups consisting of elements with similar structure. Elements in a group have the same size, while elements in different groups are of different sizes. The proposed algorithm processes the population in groups of chromosomes with one gene, two genes to k genes. These genes hold corresponding information about the cluster centers. In the proposed method, the crossover and mutation operators can accept parents with different sizes; this can lead to versatility in population and information transfer among sub-populations. We implemented the proposed method and evaluated its performance against some random datasets and the Ruspini dataset as well. The experimental results show that the proposed method could effectively determine the appropriate number of clusters and recognize their centers. Overall this research implies that using heterogeneous population in the genetic algorithm can lead to better results.
Eighteen scientists met at Jurata, Poland, to discuss various aspects of the transition from adolescence to adulthood. This transition is a delicate period facing complex interactions between the adolescents and the social group they belong to. Social identity, group identification and identity signalling, but also stress affecting basal salivary cortisol rhythms, hypertension, inappropriate nutrition causing latent and manifest obesity, moreover, in developing and under-developed countries, parasitosis causing anaemia thereby impairing growth and development, are issues to be dealt with during this period of the human development. In addition, some new aspects of the association between weight, height and head circumference in the newborns were discussed, as well as intrauterine head growth and head circumference as health risk indicators.
E-commerce marketplaces are highly dynamic with constant competition. While this competition is challenging for many merchants, it also provides plenty of opportunities, e.g., by allowing them to automatically adjust prices in order to react to changing market situations. For practitioners however, testing automated pricing strategies is time-consuming and potentially hazardously when done in production. Researchers, on the other side, struggle to study how pricing strategies interact under heavy competition. As a consequence, we built an open continuous time framework to simulate dynamic pricing competition called Price Wars. The microservice-based architecture provides a scalable platform for large competitions with dozens of merchants and a large random stream of consumers. Our platform stores each event in a distributed log. This allows to provide different performance measures enabling users to compare profit and revenue of various repricing strategies in real-time. For researchers, price trajectories are shown which ease evaluating mutual price reactions of competing strategies. Furthermore, merchants can access historical marketplace data and apply machine learning. By providing a set of customizable, artificial merchants, users can easily simulate both simple rule-based strategies as well as sophisticated data-driven strategies using demand learning to optimize their pricing strategies.
Cost models play an important role for the efficient implementation of software systems. These models can be embedded in operating systems and execution environments to optimize execution at run time. Even though non-uniform memory access (NUMA) architectures are dominating today's server landscape, there is still a lack of parallel cost models that represent NUMA system sufficiently. Therefore, the existing NUMA models are analyzed, and a two-step performance assessment strategy is proposed that incorporates low-level hardware counters as performance indicators. To support the two-step strategy, multiple tools are developed, all accumulating and enriching specific hardware event counter information, to explore, measure, and visualize these low-overhead performance indicators. The tools are showcased and discussed alongside specific experiments in the realm of performance assessment.
It has been observationally established that winds of hot massive stars have highly variable characteristics. The variability evident in the winds is believed to be caused by structures on a broad range of spatial scales. Small-scale structures (clumping) in stellar winds of hot stars are possible consequence of an instability appearing in their radiation hydrodynamics. To understand how clumping may influence calculation of theoretical spectra, different clumping properties and their 3D nature have to be taken into account. Properties of clumping have been examined using our 3D radiative transfer calculations. Effects of clumping for the case of the B[e] phenomenon are discussed.
Kijko et al. (2016) present various methods to estimate parameters that are relevant for probabilistic seismic-hazard assessment. One of these parameters, although not the most influential, is the maximum possible earthquake magnitude m(max). I show that the proposed estimation of m(max) is based on an erroneous equation related to a misuse of the estimator in Cooke (1979) and leads to unstable results. So far, reported finite estimations of m(max) arise from data selection, because the estimator in Kijko et al. (2016) diverges with finite probability. This finding is independent of the assumed distribution of earthquake magnitudes. For the specific choice of the doubly truncated Gutenberg-Richter distribution, I illustrate the problems by deriving explicit equations. Finally, I conclude that point estimators are generally not a suitable approach to constrain m(max).
The maximum entropy method is used to predict flows on water distribution networks. This analysis extends the water distribution network formulation of Waldrip et al. (2016) Journal of Hydraulic Engineering (ASCE), by the use of a continuous relative entropy defined on a reduced parameter set. This reduction in the parameters that the entropy is defined over ensures consistency between different representations of the same network. The performance of the proposed reduced parameter method is demonstrated with a one-loop network case study.
The Internet can be considered as the most important infrastructure for modern society and businesses. A loss of Internet connectivity has strong negative financial impacts for businesses and economies. Therefore, assessing Internet connectivity, in particular beyond their own premises and area of direct control, is of growing importance in the face of potential failures, accidents, and malicious attacks. This paper presents CORIA, a software framework for an easy analysis of connectivity risks based on large network graphs. It provides researchers, risk analysts, network managers and security consultants with a tool to assess an organization's connectivity and paths options through the Internet backbone, including a user-friendly and insightful visual representation of results. CORIA is flexibly extensible in terms of novel data sets, graph metrics, and risk scores that enable further use cases. The performance of CORIA is evaluated by several experiments on the Internet graph and further randomly generated networks.