10,202 research outputs found
E-learning standards
E-learning standards refer to a system of common rules for content, authoring software and Learning Management Systems (LMSs) - rules that specify how courses can be created and delivered over multiple platforms so that they all operate seamlessly together. Accredited standards ensure that the investment in time and intellectual capital could move from one system to the next. Currently, e-learning standards are being developed by four main organizations: AICC, IEEE, IMS, and ADL. The article presents some aspects of these standards.E-learning, standards.
Transparent Exopolymer Particles (TEP): an overlooked factor in the process of biofilm formation in aquatic environments
We hypothesize that transparent exopolymer particles (TEP), present in high concentrations in most sea and freshwaters, are critical agents for biofilm initiation and development in many natural and anthropogenic aquatic environments. These gel-like particles appear in many forms; amorphous blobs, clouds, sheets, filaments or clumps ranging in size from ~2 to ~200 µm. TEP are mostly polysaccharide, negatively charged, very sticky and are frequently colonized by bacteria. TEP may be considered a "planktonic" subgroup of exopolymeric substances (EPS), widely studied in biofilm research. Recognition of TEP involvement in biofilm formation has important implications for a comprehensive understanding of the complexities of this process in aquatic environments and may also contribute to the considerable efforts being made in the global water industry to mitigate the harmful effects of biofouling in water treatment and desalination plants
The Einstein Relation on Metric Measure Spaces
This note is based on F. Burghart's master thesis at Stuttgart university
from July 2018, supervised by Prof. Freiberg.
We review the Einstein relation, which connects the Hausdorff, local walk and
spectral dimensions on a space, in the abstract setting of a metric measure
space equipped with a suitable operator. This requires some twists compared to
the usual definitions from fractal geometry. The main result establishes the
invariance of the three involved notions of fractal dimension under
bi-Lipschitz continuous isomorphisms between mm-spaces and explains, more
generally, how the transport of the analytic and stochastic structure behind
the Einstein relation works. While any homeomorphism suffices for this
transport of structure, non-Lipschitz maps distort the Hausdorff and the local
walk dimension in different ways. To illustrate this, we take a look at
H\"older regular transformations and how they influence the local walk
dimension and prove some partial results concerning the Einstein relation on
graphs of fractional Brownian motions. We conclude by giving a short list of
further questions that may help building a general theory of the Einstein
relation.Comment: 28 pages, 3 figure
The Bionic Radiologist: avoiding blurry pictures and providing greater insights
Radiology images and reports have long been digitalized. However, the potential of the more than 3.6 billion radiology
examinations performed annually worldwide has largely gone unused in the effort to digitally transform health care. The Bionic
Radiologist is a concept that combines humanity and digitalization for better health care integration of radiology. At a practical
level, this concept will achieve critical goals: (1) testing decisions being made scientifically on the basis of disease probabilities and
patient preferences; (2) image analysis done consistently at any time and at any site; and (3) treatment suggestions that are closely
linked to imaging results and are seamlessly integrated with other information. The Bionic Radiologist will thus help avoiding missed
care opportunities, will provide continuous learning in the work process, and will also allow more time for radiologists’ primary
roles: interacting with patients and referring physicians. To achieve that potential, one has to cope with many implementation
barriers at both the individual and institutional levels. These include: reluctance to delegate decision making, a possible decrease in
image interpretation knowledge and the perception that patient safety and trust are at stake. To facilitate implementation of the
Bionic Radiologist the following will be helpful: uncertainty quantifications for suggestions, shared decision making, changes in
organizational culture and leadership style, maintained expertise through continuous learning systems for training, and role
development of the involved experts. With the support of the Bionic Radiologist, disparities are reduced and the delivery of care is
provided in a humane and personalized fashion
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