---
_id: '626'
abstract:
- lang: eng
text: 'Our focus here is on the infinitesimal model. In this model, one or several
quantitative traits are described as the sum of a genetic and a non-genetic component,
the first being distributed within families as a normal random variable centred
at the average of the parental genetic components, and with a variance independent
of the parental traits. Thus, the variance that segregates within families is
not perturbed by selection, and can be predicted from the variance components.
This does not necessarily imply that the trait distribution across the whole population
should be Gaussian, and indeed selection or population structure may have a substantial
effect on the overall trait distribution. One of our main aims is to identify
some general conditions on the allelic effects for the infinitesimal model to
be accurate. We first review the long history of the infinitesimal model in quantitative
genetics. Then we formulate the model at the phenotypic level in terms of individual
trait values and relationships between individuals, but including different evolutionary
processes: genetic drift, recombination, selection, mutation, population structure,
…. We give a range of examples of its application to evolutionary questions related
to stabilising selection, assortative mating, effective population size and response
to selection, habitat preference and speciation. We provide a mathematical justification
of the model as the limit as the number M of underlying loci tends to infinity
of a model with Mendelian inheritance, mutation and environmental noise, when
the genetic component of the trait is purely additive. We also show how the model
generalises to include epistatic effects. We prove in particular that, within
each family, the genetic components of the individual trait values in the current
generation are indeed normally distributed with a variance independent of ancestral
traits, up to an error of order 1∕M. Simulations suggest that in some cases the
convergence may be as fast as 1∕M.'
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
- first_name: Amandine
full_name: Véber, Amandine
last_name: Véber
citation:
ama: 'Barton NH, Etheridge A, Véber A. The infinitesimal model: Definition derivation
and implications. Theoretical Population Biology. 2017;118:50-73. doi:10.1016/j.tpb.2017.06.001'
apa: 'Barton, N. H., Etheridge, A., & Véber, A. (2017). The infinitesimal model:
Definition derivation and implications. Theoretical Population Biology.
Academic Press. https://doi.org/10.1016/j.tpb.2017.06.001'
chicago: 'Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “The Infinitesimal
Model: Definition Derivation and Implications.” Theoretical Population Biology.
Academic Press, 2017. https://doi.org/10.1016/j.tpb.2017.06.001.'
ieee: 'N. H. Barton, A. Etheridge, and A. Véber, “The infinitesimal model: Definition
derivation and implications,” Theoretical Population Biology, vol. 118.
Academic Press, pp. 50–73, 2017.'
ista: 'Barton NH, Etheridge A, Véber A. 2017. The infinitesimal model: Definition
derivation and implications. Theoretical Population Biology. 118, 50–73.'
mla: 'Barton, Nicholas H., et al. “The Infinitesimal Model: Definition Derivation
and Implications.” Theoretical Population Biology, vol. 118, Academic Press,
2017, pp. 50–73, doi:10.1016/j.tpb.2017.06.001.'
short: N.H. Barton, A. Etheridge, A. Véber, Theoretical Population Biology 118 (2017)
50–73.
date_created: 2018-12-11T11:47:34Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2021-01-12T08:06:50Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.06.001
ec_funded: 1
file:
- access_level: open_access
checksum: 7dd02bfcfe8f244f4a6c19091aedf2c8
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:45Z
date_updated: 2020-07-14T12:47:25Z
file_id: '4964'
file_name: IST-2017-908-v1+1_1-s2.0-S0040580917300886-main_1_.pdf
file_size: 1133924
relation: main_file
file_date_updated: 2020-07-14T12:47:25Z
has_accepted_license: '1'
intvolume: ' 118'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 50 - 73
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_identifier:
issn:
- '00405809'
publication_status: published
publisher: Academic Press
publist_id: '7169'
pubrep_id: '908'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'The infinitesimal model: Definition derivation and implications'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 118
year: '2017'
...
---
_id: '625'
abstract:
- lang: eng
text: In the analysis of reactive systems a quantitative objective assigns a real
value to every trace of the system. The value decision problem for a quantitative
objective requires a trace whose value is at least a given threshold, and the
exact value decision problem requires a trace whose value is exactly the threshold.
We compare the computational complexity of the value and exact value decision
problems for classical quantitative objectives, such as sum, discounted sum, energy,
and mean-payoff for two standard models of reactive systems, namely, graphs and
graph games.
acknowledgement: 'This research was supported in part by the Austrian Science Fund
(FWF) under grants S11402-N23 and S11407-N23 (RiSE/SHiNE), and Z211-N23 (Wittgenstein
Award), ERC Start grant (279307: Graph Games), Vienna Science and Technology Fund
(WWTF) through project ICT15-003.'
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Laurent
full_name: Doyen, Laurent
last_name: Doyen
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
citation:
ama: 'Chatterjee K, Doyen L, Henzinger TA. The cost of exactness in quantitative
reachability. In: Aceto L, Bacci G, Ingólfsdóttir A, Legay A, Mardare R, eds.
Models, Algorithms, Logics and Tools. Vol 10460. Theoretical Computer Science
and General Issues. Springer; 2017:367-381. doi:10.1007/978-3-319-63121-9_18'
apa: Chatterjee, K., Doyen, L., & Henzinger, T. A. (2017). The cost of exactness
in quantitative reachability. In L. Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay,
& R. Mardare (Eds.), Models, Algorithms, Logics and Tools (Vol. 10460,
pp. 367–381). Springer. https://doi.org/10.1007/978-3-319-63121-9_18
chicago: Chatterjee, Krishnendu, Laurent Doyen, and Thomas A Henzinger. “The Cost
of Exactness in Quantitative Reachability.” In Models, Algorithms, Logics and
Tools, edited by Luca Aceto, Giorgio Bacci, Anna Ingólfsdóttir, Axel Legay,
and Radu Mardare, 10460:367–81. Theoretical Computer Science and General Issues.
Springer, 2017. https://doi.org/10.1007/978-3-319-63121-9_18.
ieee: K. Chatterjee, L. Doyen, and T. A. Henzinger, “The cost of exactness in quantitative
reachability,” in Models, Algorithms, Logics and Tools, vol. 10460, L.
Aceto, G. Bacci, A. Ingólfsdóttir, A. Legay, and R. Mardare, Eds. Springer, 2017,
pp. 367–381.
ista: 'Chatterjee K, Doyen L, Henzinger TA. 2017.The cost of exactness in quantitative
reachability. In: Models, Algorithms, Logics and Tools. LNCS, vol. 10460, 367–381.'
mla: Chatterjee, Krishnendu, et al. “The Cost of Exactness in Quantitative Reachability.”
Models, Algorithms, Logics and Tools, edited by Luca Aceto et al., vol.
10460, Springer, 2017, pp. 367–81, doi:10.1007/978-3-319-63121-9_18.
short: K. Chatterjee, L. Doyen, T.A. Henzinger, in:, L. Aceto, G. Bacci, A. Ingólfsdóttir,
A. Legay, R. Mardare (Eds.), Models, Algorithms, Logics and Tools, Springer, 2017,
pp. 367–381.
date_created: 2018-12-11T11:47:34Z
date_published: 2017-07-25T00:00:00Z
date_updated: 2022-05-23T08:54:02Z
day: '25'
ddc:
- '000'
department:
- _id: KrCh
- _id: ToHe
doi: 10.1007/978-3-319-63121-9_18
ec_funded: 1
editor:
- first_name: Luca
full_name: Aceto, Luca
last_name: Aceto
- first_name: Giorgio
full_name: Bacci, Giorgio
last_name: Bacci
- first_name: Anna
full_name: Ingólfsdóttir, Anna
last_name: Ingólfsdóttir
- first_name: Axel
full_name: Legay, Axel
last_name: Legay
- first_name: Radu
full_name: Mardare, Radu
last_name: Mardare
file:
- access_level: open_access
checksum: b2402766ec02c79801aac634bd8f9f6c
content_type: application/pdf
creator: dernst
date_created: 2019-11-19T08:06:50Z
date_updated: 2020-07-14T12:47:25Z
file_id: '7048'
file_name: 2017_ModelsAlgorithms_Chatterjee.pdf
file_size: 192826
relation: main_file
file_date_updated: 2020-07-14T12:47:25Z
has_accepted_license: '1'
intvolume: ' 10460'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
page: 367 - 381
project:
- _id: 25F5A88A-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Moderne Concurrency Paradigms
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
publication: Models, Algorithms, Logics and Tools
publication_identifier:
isbn:
- 978-3-319-63120-2
issn:
- 0302-9743
publication_status: published
publisher: Springer
publist_id: '7170'
quality_controlled: '1'
scopus_import: '1'
series_title: Theoretical Computer Science and General Issues
status: public
title: The cost of exactness in quantitative reachability
type: book_chapter
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10460
year: '2017'
...
---
_id: '624'
abstract:
- lang: eng
text: Bacteria adapt to adverse environmental conditions by altering gene expression
patterns. Recently, a novel stress adaptation mechanism has been described that
allows Escherichia coli to alter gene expression at the post-transcriptional level.
The key player in this regulatory pathway is the endoribonuclease MazF, the toxin
component of the toxin-antitoxin module mazEF that is triggered by various stressful
conditions. In general, MazF degrades the majority of transcripts by cleaving
at ACA sites, which results in the retardation of bacterial growth. Furthermore,
MazF can process a small subset of mRNAs and render them leaderless by removing
their ribosome binding site. MazF concomitantly modifies ribosomes, making them
selective for the translation of leaderless mRNAs. In this study, we employed
fluorescent reporter-systems to investigate mazEF expression during stressful
conditions, and to infer consequences of the mRNA processing mediated by MazF
on gene expression at the single-cell level. Our results suggest that mazEF transcription
is maintained at low levels in single cells encountering adverse conditions, such
as antibiotic stress or amino acid starvation. Moreover, using the grcA mRNA as
a model for MazF-mediated mRNA processing, we found that MazF activation promotes
heterogeneity in the grcA reporter expression, resulting in a subpopulation of
cells with increased levels of GrcA reporter protein.
acknowledgement: 'Austrian Science Fund (FWF): M1697, P22249; Swiss National Science
Foundation (SNF): 145706; European Commission;FWF Special Research Program: RNA-REG
F43'
article_number: '3830'
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Zrinka
full_name: Didara, Zrinka
last_name: Didara
- first_name: Isabella
full_name: Moll, Isabella
last_name: Moll
citation:
ama: Nikolic N, Didara Z, Moll I. MazF activation promotes translational heterogeneity
of the grcA mRNA in Escherichia coli populations. PeerJ. 2017;2017(9).
doi:10.7717/peerj.3830
apa: Nikolic, N., Didara, Z., & Moll, I. (2017). MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ.
PeerJ. https://doi.org/10.7717/peerj.3830
chicago: Nikolic, Nela, Zrinka Didara, and Isabella Moll. “MazF Activation Promotes
Translational Heterogeneity of the GrcA MRNA in Escherichia Coli Populations.”
PeerJ. PeerJ, 2017. https://doi.org/10.7717/peerj.3830.
ieee: N. Nikolic, Z. Didara, and I. Moll, “MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations,” PeerJ,
vol. 2017, no. 9. PeerJ, 2017.
ista: Nikolic N, Didara Z, Moll I. 2017. MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. 2017(9),
3830.
mla: Nikolic, Nela, et al. “MazF Activation Promotes Translational Heterogeneity
of the GrcA MRNA in Escherichia Coli Populations.” PeerJ, vol. 2017, no.
9, 3830, PeerJ, 2017, doi:10.7717/peerj.3830.
short: N. Nikolic, Z. Didara, I. Moll, PeerJ 2017 (2017).
date_created: 2018-12-11T11:47:33Z
date_published: 2017-09-21T00:00:00Z
date_updated: 2021-01-12T08:06:48Z
day: '21'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.7717/peerj.3830
file:
- access_level: open_access
checksum: 3d79ae6b6eabc90b0eaaed82ff3493b0
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:51Z
date_updated: 2020-07-14T12:47:24Z
file_id: '4908'
file_name: IST-2017-909-v1+1_peerj-3830.pdf
file_size: 682064
relation: main_file
file_date_updated: 2020-07-14T12:47:24Z
has_accepted_license: '1'
intvolume: ' 2017'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_identifier:
issn:
- '21678359'
publication_status: published
publisher: PeerJ
publist_id: '7172'
pubrep_id: '909'
quality_controlled: '1'
scopus_import: 1
status: public
title: MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia
coli populations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2017
year: '2017'
...
---
_id: '628'
abstract:
- lang: eng
text: We consider the problem of developing automated techniques for solving recurrence
relations to aid the expected-runtime analysis of programs. The motivation is
that several classical textbook algorithms have quite efficient expected-runtime
complexity, whereas the corresponding worst-case bounds are either inefficient
(e.g., Quick-Sort), or completely ineffective (e.g., Coupon-Collector). Since
the main focus of expected-runtime analysis is to obtain efficient bounds, we
consider bounds that are either logarithmic, linear or almost-linear (O(log n),
O(n), O(n · log n), respectively, where n represents the input size). Our main
contribution is an efficient (simple linear-time algorithm) sound approach for
deriving such expected-runtime bounds for the analysis of recurrence relations
induced by randomized algorithms. The experimental results show that our approach
can efficiently derive asymptotically optimal expected-runtime bounds for recurrences
of classical randomized algorithms, including Randomized-Search, Quick-Sort, Quick-Select,
Coupon-Collector, where the worst-case bounds are either inefficient (such as
linear as compared to logarithmic expected-runtime complexity, or quadratic as
compared to linear or almost-linear expected-runtime complexity), or ineffective.
alternative_title:
- LNCS
author:
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Hongfei
full_name: Fu, Hongfei
last_name: Fu
- first_name: Aniket
full_name: Murhekar, Aniket
last_name: Murhekar
citation:
ama: 'Chatterjee K, Fu H, Murhekar A. Automated recurrence analysis for almost linear
expected runtime bounds. In: Majumdar R, Kunčak V, eds. Vol 10426. Springer; 2017:118-139.
doi:10.1007/978-3-319-63387-9_6'
apa: 'Chatterjee, K., Fu, H., & Murhekar, A. (2017). Automated recurrence analysis
for almost linear expected runtime bounds. In R. Majumdar & V. Kunčak (Eds.)
(Vol. 10426, pp. 118–139). Presented at the CAV: Computer Aided Verification,
Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-319-63387-9_6'
chicago: Chatterjee, Krishnendu, Hongfei Fu, and Aniket Murhekar. “Automated Recurrence
Analysis for Almost Linear Expected Runtime Bounds.” edited by Rupak Majumdar
and Viktor Kunčak, 10426:118–39. Springer, 2017. https://doi.org/10.1007/978-3-319-63387-9_6.
ieee: 'K. Chatterjee, H. Fu, and A. Murhekar, “Automated recurrence analysis for
almost linear expected runtime bounds,” presented at the CAV: Computer Aided Verification,
Heidelberg, Germany, 2017, vol. 10426, pp. 118–139.'
ista: 'Chatterjee K, Fu H, Murhekar A. 2017. Automated recurrence analysis for almost
linear expected runtime bounds. CAV: Computer Aided Verification, LNCS, vol. 10426,
118–139.'
mla: Chatterjee, Krishnendu, et al. Automated Recurrence Analysis for Almost
Linear Expected Runtime Bounds. Edited by Rupak Majumdar and Viktor Kunčak,
vol. 10426, Springer, 2017, pp. 118–39, doi:10.1007/978-3-319-63387-9_6.
short: K. Chatterjee, H. Fu, A. Murhekar, in:, R. Majumdar, V. Kunčak (Eds.), Springer,
2017, pp. 118–139.
conference:
end_date: 2017-07-28
location: Heidelberg, Germany
name: 'CAV: Computer Aided Verification'
start_date: 2017-07-24
date_created: 2018-12-11T11:47:35Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2021-01-12T08:06:55Z
day: '01'
department:
- _id: KrCh
doi: 10.1007/978-3-319-63387-9_6
ec_funded: 1
editor:
- first_name: Rupak
full_name: Majumdar, Rupak
last_name: Majumdar
- first_name: Viktor
full_name: Kunčak, Viktor
last_name: Kunčak
intvolume: ' 10426'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1705.00314
month: '01'
oa: 1
oa_version: Submitted Version
page: 118 - 139
project:
- _id: 25892FC0-B435-11E9-9278-68D0E5697425
grant_number: ICT15-003
name: Efficient Algorithms for Computer Aided Verification
- _id: 25863FF4-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11407
name: Game Theory
- _id: 2581B60A-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '279307'
name: 'Quantitative Graph Games: Theory and Applications'
publication_identifier:
isbn:
- 978-331963386-2
publication_status: published
publisher: Springer
publist_id: '7166'
quality_controlled: '1'
scopus_import: 1
status: public
title: Automated recurrence analysis for almost linear expected runtime bounds
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 10426
year: '2017'
...
---
_id: '630'
abstract:
- lang: eng
text: 'Background: Standards have become available to share semantically encoded
vital parameters from medical devices, as required for example by personal healthcare
records. Standardised sharing of biosignal data largely remains open. Objectives:
The goal of this work is to explore available biosignal file format and data exchange
standards and profiles, and to conceptualise end-To-end solutions. Methods: The
authors reviewed and discussed available biosignal file format standards with
other members of international standards development organisations (SDOs). Results:
A raw concept for standards based acquisition, storage, archiving and sharing
of biosignals was developed. The GDF format may serve for storing biosignals.
Signals can then be shared using FHIR resources and may be stored on FHIR servers
or in DICOM archives, with DICOM waveforms as one possible format. Conclusion:
Currently a group of international SDOs (e.g. HL7, IHE, DICOM, IEEE) is engaged
in intensive discussions. This discussion extends existing work that already was
adopted by large implementer communities. The concept presented here only reports
the current status of the discussion in Austria. The discussion will continue
internationally, with results to be expected over the coming years.'
alternative_title:
- Studies in Health Technology and Informatics
author:
- first_name: Stefan
full_name: Sauermann, Stefan
last_name: Sauermann
- first_name: Veronika
full_name: David, Veronika
last_name: David
- first_name: Alois
full_name: Schlögl, Alois
id: 45BF87EE-F248-11E8-B48F-1D18A9856A87
last_name: Schlögl
orcid: 0000-0002-5621-8100
- first_name: Reinhard
full_name: Egelkraut, Reinhard
last_name: Egelkraut
- first_name: Matthias
full_name: Frohner, Matthias
last_name: Frohner
- first_name: Birgit
full_name: Pohn, Birgit
last_name: Pohn
- first_name: Philipp
full_name: Urbauer, Philipp
last_name: Urbauer
- first_name: Alexander
full_name: Mense, Alexander
last_name: Mense
citation:
ama: 'Sauermann S, David V, Schlögl A, et al. Biosignals standards and FHIR: The
way to go. In: Vol 236. IOS Press; 2017:356-362. doi:10.3233/978-1-61499-759-7-356'
apa: 'Sauermann, S., David, V., Schlögl, A., Egelkraut, R., Frohner, M., Pohn, B.,
… Mense, A. (2017). Biosignals standards and FHIR: The way to go (Vol. 236, pp.
356–362). Presented at the eHealth: Health Informatics Meets eHealth, Vienna,
Austria: IOS Press. https://doi.org/10.3233/978-1-61499-759-7-356'
chicago: 'Sauermann, Stefan, Veronika David, Alois Schlögl, Reinhard Egelkraut,
Matthias Frohner, Birgit Pohn, Philipp Urbauer, and Alexander Mense. “Biosignals
Standards and FHIR: The Way to Go,” 236:356–62. IOS Press, 2017. https://doi.org/10.3233/978-1-61499-759-7-356.'
ieee: 'S. Sauermann et al., “Biosignals standards and FHIR: The way to go,”
presented at the eHealth: Health Informatics Meets eHealth, Vienna, Austria, 2017,
vol. 236, pp. 356–362.'
ista: 'Sauermann S, David V, Schlögl A, Egelkraut R, Frohner M, Pohn B, Urbauer
P, Mense A. 2017. Biosignals standards and FHIR: The way to go. eHealth: Health
Informatics Meets eHealth, Studies in Health Technology and Informatics, vol.
236, 356–362.'
mla: 'Sauermann, Stefan, et al. Biosignals Standards and FHIR: The Way to Go.
Vol. 236, IOS Press, 2017, pp. 356–62, doi:10.3233/978-1-61499-759-7-356.'
short: S. Sauermann, V. David, A. Schlögl, R. Egelkraut, M. Frohner, B. Pohn, P.
Urbauer, A. Mense, in:, IOS Press, 2017, pp. 356–362.
conference:
end_date: 2017-05-24
location: Vienna, Austria
name: 'eHealth: Health Informatics Meets eHealth'
start_date: 2017-05-23
date_created: 2018-12-11T11:47:36Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2021-01-12T08:06:59Z
day: '01'
ddc:
- '005'
department:
- _id: ScienComp
- _id: PeJo
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