@article{Lee2008,
  abstract = {This study directly measured the load acting on the abutment of the osseointegrated implant system of transfemoral amputees during level walking, and studied the variability of the load within and among amputees. Twelve active transfemoral amputees (age: 54±12 years, mass: 84.3±16.3kg, height: 17.8±0.10m) fitted with an osseointegrated implant for over 1 year participated in the study. The load applied on the abutment was measured during unimpeded, level walking in a straight line using a commercial six-channel transducer mounted between the abutment and the prosthetic knee. The pattern and the magnitude of the three-dimensional forces and moments were revealed. Results showed a low step-to-step variability of each subject, but a high subject-to-subject variability in local extrema of body-weight normalized forces and moments and impulse data. The high subject-to-subject variability suggests that the mechanical design of the implant system should be customized for each individual, or that a fit-all design should take into consideration the highest values of load within a broad range of amputees. It also suggests specific loading regime in rehabilitation training are necessary for a given subject. Thus the loading magnitude and variability demonstrated should be useful in designing an osseointegrated implant system better able to resist mechanical failure and in refining the rehabilitation protocol.},
  added-at = {2012-01-13T16:00:23.000+0100},
  author = {Lee, Winson C.C. and Frossard, Laurent A. and Hagberg, Kerstin and Haggstrom, Eva and Gow, David Lee and Gray, Steven and Brånemark, Rickard},
  biburl = {http://www.bibsonomy.org/bibtex/21d1b87f986edd56df67aaf536341ef44/bunke},
  file = {Lee2008.pdf:Lee2008.pdf:PDF},
  groups = {public},
  interhash = {99ad4c0a2a64dfc3a955874571435529},
  intrahash = {1d1b87f986edd56df67aaf536341ef44},
  issn = {1350-4533},
  journal = {Med Eng Phys},
  keywords = {Transfemoral amputation Prosthetics Osseointegration Transducer Gait Variability},
  month = {#sep#},
  number = 7,
  pages = {825--833},
  publisher = {Butterworth-Heinemann},
  refid = {S1350-4533(07)00161-0},
  timestamp = {2012-01-13T16:00:23.000+0100},
  title = {Magnitude and variability of loading on the osseointegrated implant of transfemoral amputees during walking},
  url = {http://linkinghub.elsevier.com/retrieve/pii/S1350453307001610?showall=true},
  username = {bunke},
  volume = 30,
  year = 2008
}

@misc{Schmidt2011,
  abstract = {  We quantify quasar color-variability using an unprecedented variability
database - ugriz photometry of 9093 quasars from SDSS Stripe 82, observed over
8 years at ~60 epochs each. We confirm previous reports that quasars become
bluer when brightening. We find a redshift dependence of this blueing in a
given set of bands (e.g. g and r), but show that it is the result of the flux
contribution from less-variable or decayed emission lines in the different SDSS
bands at different redshifts. After correcting for this effect, quasar
color-variability is remarkably uniform, and independent not only of redshift,
but also of quasar luminosity and black hole mass. The color variations of
individual quasars, as they vary in brightness on year timescales, are much
more pronounced than the ranges in color seen in samples of quasars across many
orders of magnitude in luminosity. This indicates distinct physical mechanisms
behind quasar variability and the observed range of quasar luminosities at a
given black hole mass - quasar variations cannot be explained by changes in the
mean accretion rate. We do find some dependence of the color variability on the
characteristics of the flux variations themselves, with fast, low-amplitude,
brightness variations producing more color variability. The observed behavior
could arise if quasar variability results from flares or ephemeral hot spots in
an accretion disc.
},
  added-at = {2011-10-03T06:40:29.000+0200},
  author = {Schmidt, Kasper B. and Rix, Hans-Walter and Shields, Joseph C. and Knecht, Matthias and Hogg, David W. and Maoz, Dan and Bovy, Jo},
  biburl = {http://www.bibsonomy.org/bibtex/261ba7b2a789ebbed1225d8af62cabf32/miki},
  description = {[1109.6653] The Color Variability of Quasars},
  interhash = {ae9e43a9e0f4993bd3b8b5d96b651c82},
  intrahash = {61ba7b2a789ebbed1225d8af62cabf32},
  keywords = {quasar variability},
  note = {cite arxiv:1109.6653Comment: Accepted for publication in ApJ, 17 pages, 14 figures},
  timestamp = {2011-10-03T06:40:29.000+0200},
  title = {The Color Variability of Quasars},
  url = {http://arxiv.org/abs/1109.6653},
  year = 2011
}

@misc{Shaohua2011,
  abstract = {  We report the discovery of a Broad Absorption Line (BAL) of \sim 10^4 km s-1
in width in the previously known BL Lac object PKS 0138-097, which we
tentatively identified as a Mg II BAL. This is the first detection of a BAL,
which is sometimes seen in powerful quasars with high accretion rates, in a BL
Lac object. The BAL was clearly detected in its spectra of two epochs at a high
luminosity state taken in the Sloan Digital Sky Survey (SDSS), while it
disappeared in three SDSS spectra taken at a low luminosity state. The BAL and
its variability pattern was also found in its historical multi-epoch spectra in
the literature, but has been overlooked previously. In its high resolution
radio maps, PKS 0138-097 shows a core plus an one-sided parsec-scale jet. The
BAL variability can be interpreted as follows: The optical emission is
dominated by the core in a high state and by the jet in a low state, and the
BAL material is located between the core and jet so that the BAL appears only
when the core is shining. Our discovery suggests that outflows may also be
produced in active galactic nuclei at a low accreting state.
},
  added-at = {2011-06-11T14:02:14.000+0200},
  author = {Shaohua, Zhang and Huiyuan, Wang and Hongyan, Zhou and Tinggui, Wang and Peng, Jiang},
  biburl = {http://www.bibsonomy.org/bibtex/23baa51c0466712ddd0bbff1f83687677/miki},
  description = {[1106.1587] Discovery of A Variable Broad Absorption Line in the BL Lac object PKS 0138-097},
  interhash = {6ab3d90aba7ad90ef7cc974124b7efd9},
  intrahash = {3baa51c0466712ddd0bbff1f83687677},
  keywords = {blazar variability},
  note = {cite arxiv:1106.1587Comment: 7 page, 2 figures, 1 table},
  timestamp = {2011-06-11T14:02:14.000+0200},
  title = {Discovery of A Variable Broad Absorption Line in the BL Lac object PKS
  0138-097},
  url = {http://arxiv.org/abs/1106.1587},
  year = 2011
}

@article{Huang09,
  abstract = {Smooth-pursuit eye movements are variable, even when the same tracking target motion is repeated many times. We asked whether variation in pursuit could arise from noise in the response of visual motion neurons in the middle temporal visual area ({MT}). In physiological experiments, we evaluated the mean, variance, and trial-by-trial correlation in the spike counts of pairs of simultaneously recorded {MT} neurons. The correlations between responses of pairs of {MT} neurons are highly significant and are stronger when the two neurons in a pair have similar preferred speeds, directions, or receptive field locations. Spike count correlation persists when the same exact stimulus form is repeatedly presented. Spike count correlations increase as the analysis window increases because of correlations in the responses of individual neurons across time. Spike count correlations are highest at speeds below the preferred speeds of the neuron pair and increase as the contrast of a square-wave grating is decreased. In computational analyses, we evaluated whether the correlations and variation across the population response in {MT} could drive the observed behavioral variation in pursuit direction and speed. We created model population responses that mimicked the mean and variance of {MT} neural responses as well as the observed structure and amplitude of noise correlations between pairs of neurons. A vector-averaging decoding computation revealed that the observed variation in pursuit could arise from the {MT} population response, without postulating other sources of motor variation.},
  added-at = {2011-05-09T11:37:55.000+0200},
  author = {Huang, Xin and Lisberger, Stephen G.},
  biburl = {http://www.bibsonomy.org/bibtex/2a3001e5b34caebe10dd553a1e94a6d2b/meduz},
  citeulike-article-id = {4636947},
  citeulike-linkout-0 = {http://dx.doi.org/10.1152/jn.00010.2009},
  citeulike-linkout-1 = {http://jn.physiology.org/content/101/6/3012.abstract},
  citeulike-linkout-2 = {http://jn.physiology.org/content/101/6/3012.full.pdf},
  citeulike-linkout-3 = {http://jn.physiology.org/cgi/content/abstract/101/6/3012},
  citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/19321645},
  citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=19321645},
  day = 1,
  doi = {10.1152/jn.00010.2009},
  groups = {public},
  interhash = {75eb64d625b8bb4a318b76ce0de786d4},
  intrahash = {a3001e5b34caebe10dd553a1e94a6d2b},
  issn = {0022-3077},
  journal = {Journal of Neurophysiology},
  keywords = {motion smooth\_pursuit\_eye\_movements variability},
  month = {#jun#},
  number = 6,
  pages = {3012--3030},
  pmid = {19321645},
  posted-at = {2011-02-21 12:51:54},
  priority = {4},
  timestamp = {2011-05-09T11:37:55.000+0200},
  title = {Noise Correlations in Cortical Area {MT} and Their Potential Impact on {Trial-by-Trial} Variation in the Direction and Speed of {Smooth-Pursuit} Eye Movements},
  url = {http://dx.doi.org/10.1152/jn.00010.2009},
  username = {meduz},
  volume = 101,
  year = 2009
}

@article{Henrich2010a,
  added-at = {2011-03-27T17:20:41.000+0200},
  author = {Henrich, Joseph and Heine, Steven J. and Norenzayan, Ara},
  biburl = {http://www.bibsonomy.org/bibtex/2ae88ea6426e897d77e61258ab00cc88a/yevb0},
  file = {:Henrich, Heine, Norenzayan_2010_The weirdest people in the world.pdf:PDF},
  interhash = {98c656588c1e772796beb7bd53f8bc66},
  intrahash = {ae88ea6426e897d77e61258ab00cc88a},
  issn = {1469-1825},
  journal = {Behavioral and Brain Sciences},
  keywords = {behavioral economics,cross-cultural psychology,culture,evolutionary psychology,experiments,external research,cultural universals,population validity,generalizability,human variability},
  month = jun,
  number = {2-3},
  pages = {61--83},
  timestamp = {2011-03-27T17:20:41.000+0200},
  title = {The weirdest people in the world?},
  url = {http://journals.cambridge.org/abstract\_S0140525X0999152X},
  volume = 33,
  year = 2010
}

@article{Yeung2003,
  abstract = {Purpose: To quantify intra- and interobserver variabilities when measuring
	total aneurysm volume after endovascular aneurysm repair using the
	Vitrea 2 System and to compare it in terms of accuracy and processing
	time with the gold standard methods using the Easy Vision workstation.
	Methods: Total aneurysm volumes from 30 postendograft CTA datasets
	were randomly selected from a database consisting of similar to400
	CTA datasets recorded in 89 patients. The intra- and interobserver
	variabilities were measured on the Vitrea workstation by 2 investigators.
	The intermodality variability was calculated for the same measurements
	using the Easy Vision workstation. The differences of each pair of
	measurements were plotted against their mean, and the repeatability
	coefficient (RC) was calculated. The mean differences were also expressed
	as a percentage of the first measurements. Results: The intraobserver
	mean difference was 1.6 mL (1.4%) with an RC of 10.8 mL (10.1%) and
	the interobserver mean difference was -1.4 mL (-1.4%) with an RC
	of 11.7 mL (10.2%). The intermodality mean difference was 1.8 mL
	(2.0%) with an RC of 15.8 mL (11.1%). The Vitrea workstation required
	a median of 8 minutes (interquartile range 7-10) for 1 observer and
	6 minutes (interquartile range 5-8) for the other to perform a complete
	volume segmentation of each patient dataset compared to an estimated
	average of 30 minutes using the Easy Vision workstation. Conclusions:
	The Vitrea workstation provides fast and accurate volume data from
	spiral CTA follow-up of endovascular aneurysm repair. This software
	may enhance the acceptability of volume surveillance in daily practice},
  added-at = {2011-03-11T12:21:24.000+0100},
  author = {Yeung, K. K. and van der Laan, M. J. and Wever, J. J. and van Waes, P. F. G. M. and Blankensteijn, J. D.},
  biburl = {http://www.bibsonomy.org/bibtex/276bc5202859544da37fc50a236b6b8a3/jmaiora},
  interhash = {6be1668df65506a46d0e89526f6a5f9b},
  intrahash = {76bc5202859544da37fc50a236b6b8a3},
  journal = {Journal of Endovascular Therapy},
  keywords = {ABDOMINAL ACCURACY ANEURYSM AORTIC-ANEURYSMS ENDOLUMINAL ENDOVASCULAR EXCLUSION FOLLOW-UP INTEROBSERVER MANAGEMENT REPAIR SAC STENT-GRAFT SURVEILLANCE SYSTEM VARIABILITY abdominal aneurysm aortic measurements rendering segmentation variability volume},
  number = 5,
  pages = {887-893},
  timestamp = {2011-03-11T12:21:24.000+0100},
  title = {New post-imaging software provides fast and accurate volume data
	from CTA surveillance after endovascular aneurysm repair},
  volume = 10,
  year = 2003
}

@article{Sprouse2004,
  abstract = {Objectives: The endovascular management of abdominal aortic aneurysm
	(AAA) relies on accurate preoperative imaging for proper patient
	selection and operative planning. Three-dimensional (3-D) computed
	tomography (CT) with reformatted images perpendicular to blood flow
	has gained popularity as a method of AAA assessment and image-based
	planning before endovascular aneurysm repair (EVAR). The current
	study was undertaken to determine the interobserver agreement of
	AAA measurements obtained with axial CT and reformatted 3-D CT and
	to compare the consistency of the 2 methods in selecting patients
	for EVAR. Methods: Eight observers assessed the axial CT and reformatted
	3-D CT scans for 5 patients with AAAs to determine whether the patients
	were candidates for EVAR. 3-D CT with multiplanar reformatted images
	was performed by Medical Media Systems (AIMS). Each observer measured
	the length and diameter of the proximal neck, maximal AAA, aortic
	bifurcation, common iliac diameter, and aortic angulation. The proximal
	neck and common iliac arteries were also assessed for thrombus, calcification,
	and tortuosity. Agreement of the measurements on axial CT scans was
	compared with those on AIMS CT scans by calculating the K statistic.
	Complete agreement was defined as kappa = 1.0. The limits of agreement
	between observers were also calculated. Results: The cumulative interobserver
	agreement of MMS CT scans (kappa =.81) was greater than for axial
	CT scans (kappa=59). The kappa value for each of the diameter measurements
	was greater with the MMS CT scans. In 79% of cases the observers'
	measurements were less than 2 mm, from the mean with MMS CT, compared
	with 59% for axial CT. The kappa value for deciding whether a patient
	was an endograft candidate on the basis of aortic neck was greater
	with the MMS CT (0.92 vs 0.63). The limits of agreement between observers
	were also better with the MMS CT. Conclusions. The interobserver
	agreement in planning EVAR is significantly better with MMS CT compared
	with traditional axial CT. The routine use of MMS CT appears justified
	before EVAR to improve the accuracy and consistency of patient selection},
  added-at = {2011-03-11T12:21:24.000+0100},
  author = {Sprouse, L. R. and Meier, G. H. and Parent, F. N. and Demasi, R. J. and Stokes, G. K. and Lesar, C. J. and Marcinczyk, M. J. and Mendoza, B.},
  biburl = {http://www.bibsonomy.org/bibtex/23e37a8017851c5a53a0ae35c3bc00203/jmaiora},
  interhash = {e8c3c8fbb5673e309c2e2e2f6d3aea06},
  intrahash = {3e37a8017851c5a53a0ae35c3bc00203},
  journal = {Journal of Vascular Surgery},
  keywords = {ACCURACY ANEURYSM ARTERIOGRAPHY COMPUTED-TOMOGRAPHY DIAMETER ENDOGRAFT INTEROBSERVER RECONSTRUCTION SYSTEM ULTRASOUND VARIABILITY},
  number = 3,
  pages = {443-447},
  timestamp = {2011-03-11T12:21:24.000+0100},
  title = {Is three-dimensional computed tomography reconstruction justified
	before endovascular aortic aneurysm repair?},
  volume = 40,
  year = 2004
}

@article{Schubach:1997,
  abstract = {The prediction of the probability of death or injury following the
	inhalation of a toxic gas or vapour is used in risk analysis. The
	proportion of a population responding for a given endpoint (e.g.
	lethality) can be related to the received dose using a probit model.
	Some of the coefficients in the probit equations are based on data
	from animal testing. Generally, experimental test animals are bred
	to exhibit low variability. Animal variability in response to toxic
	exposures may not adequately represent human variability in response
	to toxic exposures to the tested chemical. It is suggested that some
	independently established measure of human variability be used in
	the formulation of the probit equation constants rather than those
	that arise solely from the fitting of the animal data.},
  added-at = {2010-01-05T23:12:10.000+0100},
  author = {Schubach, Simon},
  biburl = {http://www.bibsonomy.org/bibtex/241c7da4d7c8257ab901d4dfc721c53d5/sjp},
  doi = {http://dx.doi.org/10.1016/S0950-4230(97)00016-8},
  interhash = {aa10be7090c1d18ed41949391da74a42},
  intrahash = {41c7da4d7c8257ab901d4dfc721c53d5},
  issn = {0950-4230},
  journal = {Journal of Loss Prevention in the Process Industries},
  keywords = {Acute equations, human probit toxicity, variability},
  number = {5-6},
  pages = {309--315},
  timestamp = {2010-01-05T23:12:10.000+0100},
  title = {A measure of human sensitivity in acute inhalation toxicity},
  url = {http://www.sciencedirect.com/science/article/B6TGH-3SNMPR9-3/2/6dd1671443f594562fd58b8b849380af},
  volume = 10,
  year = 1997
}

@techreport{verelst.2,
  added-at = {2009-12-17T23:44:12.000+0100},
  author = {Verelst, Jan},
  biburl = {http://www.bibsonomy.org/bibtex/20f1b82670ce2ffc3379fcbf3ca57b2f7/hidders},
  description = {bibrem upload},
  interhash = {3dc946676ae40d547cce44b474a44e8e},
  intrahash = {0f1b82670ce2ffc3379fcbf3ca57b2f7},
  keywords = {conceptual-modeling variability},
  timestamp = {2009-12-17T23:44:12.000+0100},
  title = {A Framework for Classifying Variability in Conceptual Models},
  year = 2004
}

@inproceedings{paredaens2006orbel,
  added-at = {2009-12-10T16:09:03.000+0100},
  author = {Paredaens, Jan and Hidders, Jan and Verelst, Jan},
  biburl = {http://www.bibsonomy.org/bibtex/22a363bd4b2486b2d44182413e5f57b9d/hidders},
  booktitle = {ORBEL 20, Quantitiative Methods for Decision Making, Proc. of the Annual conference of SOGESCI-B.B.W.B., The Belgian Operations Research Society},
  description = {bibrem upload},
  editor = {{De Baets}, Bernard and {De Meyer}, Hans and Maes, Koen},
  interhash = {a1e7bae9617b9fd9ed5c6b2f8416139d},
  intrahash = {2a363bd4b2486b2d44182413e5f57b9d},
  keywords = {conceptual-modeling myown variability},
  month = {January 19-20},
  pages = {75--77},
  timestamp = {2009-12-10T16:09:03.000+0100},
  title = {Towards a Formalization of variability in conceptual models of information systems},
  url = {http://www.bibsonomy.org/documents/2a363bd4b2486b2d44182413e5f57b9d/hidders/paredaens2006orbel.pdf?action=download},
  year = 2006
}

@article{KENNELLY1992,
  abstract = {The complex line-profile variations, probably caused by nonradial
	pulsations, in the spectrum of the rapidly rotating delta Scuti star
	tau Peg are analyzed with a novel two-dimensional Fourier transform
	technique. It resolves the oscillations in temporal frequency nu
	and apparent azimuthal order m. The two-dimensional Fourier spectrum
	resembles the (1, nu) diagrams generated for the Sun. Advantages
	of the technique are (1) both frequency and mode of the oscillations
	are determined directly; (2) complex variations in the line profiles
	are resolved into individual modes; (3) modes of both high and low
	degree are resolved. For tau Peg, we identify four apparent modes
	having Absolute value of m congruent-to 3, 7, 11, and 15. After correcting
	for rotation, most of the modes have frequencies of approximately
	17 cycles day-1. Assuming T(eff) congruent-to 8000 K and L congruent-to
	40 L., all of the modes fall within the range of frequencies theoretically
	predicted to be unstable.},
  added-at = {2009-11-03T20:21:25.000+0100},
  author = {KENNELLY, E. J. and WALKER, G. A. H. and MERRYFIELD, W. J.},
  biburl = {http://www.bibsonomy.org/bibtex/2a1684b2797505679b3aacbbb5dd59ab6/svance},
  citedreferences = {BREGER M, 1989, ASTRON ASTROPHYS, V214, P209 ; BREGER M, 1991, ASTRON ASTROPHYS, V250, P107 ; CAMPOS AJ, 1980, APJ, V238, P667 ; CRAWFORD DL, 1979, ASTRON J, V84, P1858 ; DZIEMBOWSKI WA, 1990, LECT NOTE PHYS, V367, P359 ; GIES DR, 1988, ASTROPHYS J, V326, P813 ; HAUCK B, 1980, ASTRON ASTROPHYS SUP, V40, P1 ; KAMBE E, 1988, PUBL ASTRON SOC JPN, V40, P313 ; KENNELLY EJ, 1991, PUBL ASTRON SOC PAC, V103, P1250 ; KENNELLY EJ, 1992, IN PRESS ASP C SER ; KENNELLY EJ, 1992, UNPUB ; MATTHEWS JM, 1985, PUBL ASTRON SOC PAC, V97, P841 ; MERRYFIELD WJ, 1992, UNPUB ; MICHEL E, 1990, ASP C SER, V11, P332 ; PHILIP AGD, 1979, ASTRON J, V84, P1743 ; SMITH MA, 1982, ASTROPHYS J, V254, P242 ; UNNO W, 1989, NONRADIAL OSCILLATIO, P19 ; VOGT SS, 1983, ASTROPHYS J, V275, P661 ; WALKER GAH, 1987, APJ, V320, L139 ; YANG S, 1986, PUBL ASTRON SOC PAC, V98, P1156},
  interhash = {26282ecaf43b16a5ff876acfa0cc881b},
  intrahash = {a1684b2797505679b3aacbbb5dd59ab6},
  journal = {ASTROPHYSICAL JOURNAL},
  keywords = {DELTA-SCUTI NONRADIAL OSCILLATIONS; STARS; VARIABILITY},
  number = 2,
  owner = {svance},
  pages = {L71--L74},
  timestamp = {2009-11-03T20:21:25.000+0100},
  title = {TAU PEGASIA FOURIER REPRESENTATION OF LINE-PROFILE VARIATIONS},
  volume = 400,
  year = 1992
}

@article{PenseriniPSM07,
  abstract = {Many classes of distributed applications, including e-business, e-government, and ambient intelligence, consist of networking infrastructures, where the nodes (peers)—be they software components, human actors or organizational units—cooperate with each other to achieve shared goals. The multi-agent system metaphor fits very well such settings because it is founded on intentional and social concepts and mechanisms. Not surprisingly, many agent-oriented software development methods have been proposed, including GAIA, PASSI, and Tropos. This paper extends the Tropos methodology, enhancing its ability to support high variability design through the explicit modelling of alternatives, it adopts an extended notion of agent capability and proposes a refined Tropos design process. The paper also presents an implemented software development environment for Tropos, founded on the Model-Driven Architecture (MDA) framework and standards. The extended Tropos development process is illustrated through a case study involving an e-commerce application.
},
  added-at = {2009-09-22T17:54:36.000+0200},
  author = {Penserini, Loris and Perini, Anna and Susi, Angelo and Mylopoulos, John},
  biburl = {http://www.bibsonomy.org/bibtex/259aa66a303173bdd8e8290806187c6ca/neilernst},
  date = {2007-12-10},
  interhash = {05ba2bfdb57c9857c0e626c673af49f0},
  intrahash = {59aa66a303173bdd8e8290806187c6ca},
  journal = {Transactions on Autonomous and Adaptive Systems},
  keywords = {agents variability},
  number = 4,
  timestamp = {2009-09-22T17:54:36.000+0200},
  title = {High variability design for software agents: Extending Tropos.},
  url = {http://doi.acm.org/10.1145/1293731.1293736},
  volume = 2,
  year = 2007
}

@inproceedings{korherr07uml,
  abstract = {Variability Models are designed for modelling variabilities of a software. Unfortunately they are not part of a well-known modelling framework for a higher usability, like the Unified Modelling Language. To address this limitation, we provide a UML 2 profile for variability models. Furthermore we show the dependency from the UML profile to activity diagrams to make the relationship between variability models and process models visible. This profile and its mapping are tested with example business processes.},
  added-at = {2009-08-04T18:19:21.000+0200},
  author = {Korherr, B. and List, B.},
  biburl = {http://www.bibsonomy.org/bibtex/2d13494a23e4f43d9a93044aa7cefad80/j_sprenger},
  booktitle = {Database and Expert Systems Applications, 2007. DEXA '07. 18th International Conference on},
  doi = {10.1109/DEXA.2007.96},
  interhash = {d0fcf20456a03959568755fc9c8c21eb},
  intrahash = {d13494a23e4f43d9a93044aa7cefad80},
  issn = {1529-4188},
  keywords = {UML variability},
  month = {Sept.},
  pages = {829-834},
  timestamp = {2009-08-04T18:19:21.000+0200},
  title = {A UML 2 Profile for Variability Models and their Dependency to Business Processes},
  year = 2007
}

@phdthesis{verelst.1,
  added-at = {2009-07-21T22:35:22.000+0200},
  author = {Verelst, Jan},
  biburl = {http://www.bibsonomy.org/bibtex/2848ce4225c972449ab090cda3d304b5f/hidders},
  description = {bibrem upload},
  interhash = {330700ee955fbd510271c611cef02130},
  intrahash = {848ce4225c972449ab090cda3d304b5f},
  keywords = {software-engineering software-evolution variability},
  timestamp = {2009-07-21T22:35:22.000+0200},
  title = {invloed van variabiliteit op de evolueerbaarheid van conceptuele modellen van informatiesystemen},
  year = 1999
}

@article{citeulike:4544829,
  abstract = {The annual seasonal cycle accounts for much of the total temporal variability of mid- and high-latitude marine ecosystems. Although the general pattern of the seasons repeats each year, climatic variability of the atmosphere and the ocean produce detectable changes in intensity and onset timing. We use a combination of time series data from oceanographic, zooplankton and seabird breeding data to ask if and how these variations in the timing of the spring growing season affect marine populations. For the physical environment, we develop an annual index of spring timing by fitting a non-linear 2-parameter periodic function to the average weekly SST data observed in British Columbia from 1 January to the end of August each year. For each year, the phase parameter describes the timing of seasonal warming (the timing index) and the amplitude parameter describes the magnitude of the temperature increase between the fitted winter minimum and summer maximum. For the zooplankton, which have annual and strongly synchronous cycles of biomass, productivity, and developmental sequence, we use copepodite stage composition to index the timing of the annual maximum. For seabirds, we examine (1975–1999) the timing of hatching, nestling growth performance, and diet for four species of alcids at Triangle Island, British Columbia's largest seabird colony and the world's largest population of the planktivorous Cassin's auklet. Temperature, zooplankton, and seabirds have all shown recent decadal trends toward ‘earlier spring’, but the magnitudes of the timing perturbations have differed from variable to variable and from year to year. Recent (1996–1999) extreme interannual variation in spring timing and April SST helped to facilitate a mechanistic investigation of oceanographic features that affect the reproductive performance of seabirds. Our results demonstrate a significant negative relationship between the annual spring timing index (and April mean SST) and nestling growth rates for both Cassin's auklet and rhinoceros auklet. Nestling growth rates were significantly lower in early, warm years. We demonstrate that low growth rates of Cassin's auklet occurred when copepod composition in nestling diet was low overall and copepods were scarce or absent in samples collected later in the season. We propose that when spring is early and warm, the duration of overlap of seabird breeding and copepod availability in surface waters becomes reduced, effectively creating a seasonal mismatch of prey and predator populations. Such a mismatch could explain the reduced reproductive performance of seabirds compared to years when spring was later and colder. The relationships we develop here can be used as simple predictive models to examine the effects of ocean climate change on seabird reproductive performance within our region.},
  added-at = {2009-05-19T18:00:18.000+0200},
  author = {Bertram, D.},
  biburl = {http://www.bibsonomy.org/bibtex/2b61be2d457856203447b7c04a8d4a4c1/earthfare},
  citeulike-article-id = {4544829},
  description = {CiteULike: Everyone's library},
  doi = {10.1016/S0079-6611(01)00027-1},
  interhash = {6e8687a3ade857c246b932b6538e48c9},
  intrahash = {b61be2d457856203447b7c04a8d4a4c1},
  issn = {00796611},
  journal = {Progress In Oceanography},
  keywords = {climate, variability},
  number = {1-4},
  pages = {283--307},
  posted-at = {2009-05-19 12:50:48},
  priority = {2},
  timestamp = {2009-05-19T18:00:18.000+0200},
  title = {The seasonal cycle revisited: interannual variation and ecosystem consequences},
  url = {http://dx.doi.org/10.1016/S0079-6611(01)00027-1},
  volume = 49,
  year = 2001
}

@article{citeulike:4544863,
  abstract = {This paper focuses on the ecosystem regime shift in the North Sea that occurred during the period 1982–1988. The evidence for the change is seen from individual species to key ecosystem parameters such as diversity and from phytoplankton to fish. Although many biological/ecosystem parameters and individual species exhibited a stepwise change during the period 1983–1988, some indicators show no evidence of change. The cause of the regime shift is likely to be related to pronounced changes in large-scale hydro-meteorological forcing. This involved activating of complex intermediate physical mechanisms which explains why the exact timing of the shift can vary from 1982 to 1988 (centred around two periods: 1982–1985 and 1987–1988) according to the species or taxonomic group. Increased sea surface temperature and possibly change in wind intensity and direction at the end of the 1970s in the west European basin triggered a change in the location of an oceanic biogeographical boundary along the European continental shelf. This affected both the stable and substrate biotope components of North Sea marine ecosystems (i.e. components related to the water masses and components which are geographically stable) circa 1984. Large-scale hydro-climatic forcing also modified local hydro-meteorological parameters around the North Sea after 1987 affecting the stable biotope components of North Sea ecosystems. Problems related to the detection and quantification of an ecosystem regime shift are discussed.},
  added-at = {2009-05-19T18:00:18.000+0200},
  author = {Beaugrand, G.},
  biburl = {http://www.bibsonomy.org/bibtex/2f2be754c7074ba9964e7ed905fcb2963/earthfare},
  citeulike-article-id = {4544863},
  description = {CiteULike: Everyone's library},
  doi = {10.1016/j.pocean.2004.02.018},
  interhash = {67c51b3c223aaa3b2e8c29c185be747e},
  intrahash = {f2be754c7074ba9964e7ed905fcb2963},
  issn = {00796611},
  journal = {Progress In Oceanography},
  keywords = {climate, shift, variability},
  month = {March},
  number = {2-4},
  pages = {245--262},
  posted-at = {2009-05-19 13:14:33},
  priority = {2},
  timestamp = {2009-05-19T18:00:18.000+0200},
  title = {The North Sea regime shift: Evidence, causes, mechanisms and consequences},
  url = {http://dx.doi.org/10.1016/j.pocean.2004.02.018},
  volume = 60,
  year = 2004
}

@article{Deland2006,
  abstract = {Satellite observations of polar mesospheric clouds (PMCs) are extremely valuable because they typically have daily coverage to characterize seasonal variations, sufficient detections for each season to give good statistics, quantitative information for physical analysis, and coverage of both hemispheres to evaluate global behavior. Continuous spectral measurements in the ultraviolet provide information about particle size distributions. A typical PMC season begins approximately 20 days before summer solstice at 80 degrees latitude, rises rapidly in occurrence frequency to 80-90%, and remains at that level until 50-60 days after solstice. Both occurrence frequency and brightness are latitude dependent, with higher values observed toward the poles. PMCs are normally observed at altitudes of 82-83 km, with higher altitudes at the start and end of each season. Hemispheric differences in behavior are also observed. Northern Hemisphere PMCs are consistently both more frequent and brighter than Southern Hemisphere clouds. Cloud height is generally anti-correlated with cloud brightness. The availability of extended PMC data sets from satellites provides the opportunity to evaluate long-term PMC variations over the past few decades. Analysis of these lengthy data sets shows a clear anti-correlation between seasonally averaged PMC parameters (occurrence frequency and brightness) and solar UV activity over the past two solar cycles, in agreement with model predictions. A time lag of similar to 1 year between the solar cycle and the PMC response is present in several data sets (solar variation leads PMC response). The cause is unknown. Multiple regression analysis also indicates long-term increases in both occurrence frequency and brightness, although there is not yet a consensus on the magnitude of the increase. These results are compared with information about concurrent variations in plausible source mechanisms such as mesospheric water vapor and temperature. (c) 2005 Elsevier Ltd. All rights reserved.},
  added-at = {2009-03-30T22:21:12.000+0200},
  author = {DeLand, M. T. and Shettle, E. P. and Thomas, G. E. and Olivero, J. J.},
  biburl = {http://www.bibsonomy.org/bibtex/29d24193696c67307beb18d158bedab40/bobsica},
  description = {Leo's paper references II},
  interhash = {b030bb8ec8cc03d2fc0b279f96bbf340},
  intrahash = {9d24193696c67307beb18d158bedab40},
  journal = {Journal of Atmospheric And Solar-Terrestrial Physics},
  keywords = {ATMOSPHERE CHANGE CLOUDS EXPLORER GLOBAL LEO LOWER MEASUREMENTS MESOSPHERE MIDDLE NOCTILUCENT PARTICLE-SIZE SOLAR SOUTHERN-HEMISPHERE STRATOSPHERIC SUMMER TEMPERATURE THERMOSPHERE VARIABILITY WATER-VAPOR cloud mesospheric noctilucent polar remote scattering sensing},
  note = {ISI Document Delivery No.: 002TQ
Times Cited: 8
Cited Reference Count: 108
Cited References: 
     AKMAEV RA, 2000, GEOPHYS RES LETT, V27, P2113
     ALFRED JM, 2001, EOS T AGU, V82, S284
     BAILEY SM, 2005, J GEOPHYS RES-ATMOS, V110
     BARTH CA, 1983, GEOPHYS RES LETT, V10, P237
     BARTH CA, 2003, J GEOPHYS RES-SPACE, V108
     BEIG G, 2003, REV GEOPHYS, V41
     BURTON SP, 2000, P QUADR OZ S SAPP JA, P325
     CARBARY JF, 1999, J GEOPHYS RES-SPACE, V104, P10089
     CARBARY JF, 2001, GEOPHYS RES LETT, V28, P725
     CARBARY JF, 2004, GEOPHYS RES LETT, V31
     CHANDRA S, 1997, GEOPHYS RES LETT, V24, P639
     CHU X, 2001, GEOPHYS RES LETT, V26, P1937
     DEBRESTIAN DJ, 1997, ADV SPACE RES, V19, P587
     DEBRESTIAN DJ, 1997, J GEOPHYS RES-ATMOS, V102, P1971
     DELAND MT, 2001, J ATMOS OCEAN TECH, V18, P914
     DELAND MT, 2003, J GEOPHYS RES-ATMOS, V108
     DELAND MT, 2005, UNPUB GEOPHYSICAL RE
     DONAHUE TM, 1972, J ATMOS SCI, V30, P515
     EVANS WFJ, 1995, GEOPHYS RES LETT, V22, P2793
     FIEDLER J, 2003, J GEOPHYS RES-ATMOS, V108
     FLEMING EL, 1995, J ATMOS TERR PHYS, V57, P333
     FOGLE B, 1973, CLIMATOLOGICAL RES, P263
     FRENCH WJR, 2004, J ATMOS SOL-TERR PHY, V66, P493
     GADSDEN M, 1989, NOCTILUCENT CLOUDS
     GADSDEN M, 1998, J ATMOS SOL-TERR PHY, V60, P1163
     GADSDEN M, 2000, J ATMOS SOL-TERR PHY, V62, P31
     GADSDEN M, 2002, MEMOIRS BRIT ASTRONO, V45
     GARCIA RR, 1989, J GEOPHYS RES-ATMOSP, V94, P14605
     GAVINE D, 2002, MEMOIRS BRIT ASTRONO, V45
     GELINAS LJ, 2005, J GEOPHYS RES, V110, A1310
     GERRARD AJ, 2004, J ATMOS SOL-TERR PHY, V66, P229
     GLACCUM W, 1996, J GEOPHYS RES-ATMOS, V101, P14479
     GOLDBERG RA, 2001, GEOPHYS RES LETT, V28, P1407
     GOLITSYN GS, 1996, GEOPHYS RES LETT, V23, P1741
     GRUZDEV AN, 2005, J GEOPHYS RES, V110, D3304
     HERNANDEZ G, 2003, GEOPHYS RES LETT, V30
     HERVIG M, 2001, GEOPHYS RES LETT, V28, P971
     HERVIG M, 2003, GEOPHYS RES LETT, V30
     HUANG TYW, 1993, J GEOPHYS RES-ATMOSP, V98, P20413
     HUNTEN DM, 1980, J ATMOS SCI, V37, P1342
     JENSEN E, 1989, J GEOPHYS RES-ATMOSP, V94, P14693
     JOINER J, 1996, J GEOPHYS RES-SPACE, V101, P5239
     KALASHNIKOVA O, 2000, GEOPHYS RES LETT, V27, P3293
     KHOSRAVI R, 2002, J GEOPHYS RES-ATMOS, V107
     KIRKWOOD S, 2002, GEOPHYS RES LETT, V29
     KIRKWOOD S, 2003, J GEOPHYS RES-ATMOS, V108
     KLOSTERMEYER J, 2001, J GEOPHYS RES-ATMOS, V106, P9749
     KLOSTERMEYER J, 2002, J GEOPHYS RES-ATMOS, V107
     LESLIE RJ, 1918, NATURE, V33, P245
     LLEWELLYN E, 2004, CAN J PHYS, V82, P411
     LUBKEN FJ, 2000, GEOPHYS RES LETT, V27, P3603
     LUBKEN FJ, 2004, J GEOPHYS RES-ATMOS, V109
     LUCKE RL, 1999, J GEOPHYS RES-ATMOS, V104, P18785
     MARSH D, 2003, J GEOPHYS RES-ATMOS, V108
     MAULDIN LE, 1985, OPT ENG, V24, P307
     MCHUGH M, 2003, GEOPHYS RES LETT, V30
     MEIER RR, 1991, SPACE SCI REV, V58, P1
     MERKEL AW, 2003, GEOPHYS RES LETT, V30
     MURRAY BJ, 2003, PHYS CHEM CHEM PHYS, V5, P4129
     NEDOLUHA GE, 2003, J GEOPHYS RES-ATMOS, V108
     OFFERMANN D, 2004, J ATMOS SOL-TERR PHY, V66, P437
     OLIVERO JJ, 1986, J ATMOS SCI, V43, P1263
     OLIVERO JJ, 2001, ADV SPACE RES, V28, P931
     OLTMANS SJ, 2000, GEOPHYS RES LETT, V27, P3453
     ONEIL RR, 2001, EOS T AGU SPR M S, V82
     PORTMANN RW, 1995, GEOPHYS RES LETT, V22, P1733
     RANDEL WJ, 2004, J ATMOS SCI, V61, P2133
     RAPP M, 2003, J GEOPHYS RES-ATMOS, V108
     REMSBERG EE, 2002, J GEOPHYS RES-ATMOS, V107
     ROBLE RG, 1989, GEOPHYS RES LETT, V16, P1441
     ROMEJKO VA, 2003, J GEOPHYS RES-ATMOS, V108
     ROSENLOF KH, 2001, GEOPHYS RES LETT, V28, P1195
     ROTTMAN G, 2004, GEOPH MONOG SERIES, V141, P111
     RUSCH DW, 1991, J GEOPHYS RES-ATMOSP, V96, P12933
     RUSSELL JM, 1993, J GEOPHYS RES-ATMOSP, V98, P10777
     SEELE C, 1999, GEOPHYS RES LETT, V26, P1517
     SHEPHERD GG, 1993, J GEOPHYS RES-ATMOSP, V98, P10725
     SHEPHERD MG, 2004, J GEOPHYS RES-ATMOS, V109
     SHETTLE EP, 2002, J GEOPHYSICAL RES, V107
     SHETTLE EP, 2002, MEMOIRS BRIT ASTRONO, V45
     SISKIND DE, 2003, J GEOPHYS RES-ATMOS, V108
     SISKIND DE, 2005, J ATMOS SOL-TERR PHY, V67, P501
     SONNEMANN GR, 2005, J ATMOS SOL-TERR PHY, V67, P177
     STEVENS MH, 2001, GEOPHYS RES LETT, V28, P4449
     STEVENS MH, 2003, GEOPHYS RES LETT, V30
     STEVENS MH, 2005, J GEOPHYS RES-SPACE, V110
     THAYER JP, 2003, J GEOPHYS RES-ATMOS, V108
     THOMAS GE, 1984, J ATMOS TERR PHYS, V46, P819
     THOMAS GE, 1985, PLANET SPACE SCI, V33, P1209
     THOMAS GE, 1989, J GEOPHYS RES-ATMOSP, V94, P14673
     THOMAS GE, 1989, NATURE, V338, P490
     THOMAS GE, 1991, J GEOPHYS RES-ATMOSP, V96, P927
     THOMAS GE, 1991, REV GEOPHYS, V29, P553
     THOMAS GE, 1995, GEOPHYS MONOGR, V87, P185
     THOMAS GE, 1996, J ATMOS TERR PHYS, V58, P1629
     THOMAS GE, 2000, EOS T AGU, V81, S336
     THOMAS GE, 2001, ADV SPACE RES, V28, P937
     THOMAS GE, 2003, ADV SPACE RES, V32, P1737
     THOMAS GE, 2003, EOS T AGU, V84, P352
     TURCO RP, 1982, PLANET SPACE SCI, V30, P1147
     VONCOSSART G, 1999, GEOPHYS RES LETT, V26, P1513
     VONSAVIGNY C, 2004, ADV SPACE RES, V34, P851
     VONZAHN U, 1998, GEOPHYS RES LETT, V25, P1289
     VONZAHN U, 2003, EOS T AGU, V84, P261
     VONZAHN U, 2004, ATMOS CHEM PHYS, V4, P2449
     WARREN SG, 1997, J GEOPHYS RES-ATMOS, V102, P1991
     WEATHERHEAD EC, 1998, J GEOPHYS RES-ATMOS, V103, P17149
     WOODS TN, 2000, J GEOPHYS RES-SPACE, V105, P27195},
  number = 1,
  pages = {9-29},
  timestamp = {2009-03-30T22:21:12.000+0200},
  title = {A quarter-century of satellite polar mesospheric cloud observations},
  volume = 68,
  year = 2006
}

@article{nakazaki2000rov,
  added-at = {2009-02-23T06:39:51.000+0100},
  author = {NAKAZAKI, T.},
  biburl = {http://www.bibsonomy.org/bibtex/256e017c5ddbde1a58eeb9a60ec825a25/dani},
  interhash = {857d2f4785dc3900745d4d01145ace81},
  intrahash = {56e017c5ddbde1a58eeb9a60ec825a25},
  journal = {Japanese Journal of Animal Psychology},
  keywords = {variability},
  number = 1,
  pages = {33--40},
  timestamp = {2009-02-23T06:39:51.000+0100},
  title = {{A review of operant variability studies. Issues and implications.}},
  volume = 50,
  year = 2000
}

@inproceedings{szasz_08_statecharts,
  added-at = {2009-02-11T20:46:37.000+0100},
  author = {Szasz, Nora and Vilanova, Pedro},
  biburl = {http://www.bibsonomy.org/bibtex/2f86f89effe486fcb75cc3dd5ebfdd682/leonardo},
  booktitle = {VaMoS},
  citeulike-article-id = {3814406},
  description = {'slides':http://www.vamos-workshop.net/2008/slides/Presentation_15.pdf},
  editor = {Heymans, Patrick and Kang, Kyo C. and Metzger, Andreas and Pohl, Klaus and Heymans, Patrick and Kang, Kyo C. and Metzger, Andreas and Pohl, Klaus},
  interhash = {c865e44044a5da3ff44fcc7775c516c6},
  intrahash = {f86f89effe486fcb75cc3dd5ebfdd682},
  keywords = {2008 statecharts variability},
  pages = {131--140},
  posted-at = {2008-12-20 12:06:53},
  priority = {2},
  series = {ICB Research Report},
  timestamp = {2009-02-11T20:46:37.000+0100},
  title = {Statecharts and Variabilities},
  url = {http://dblp.uni-trier.de/rec/bibtex/conf/vamos/SzaszV08},
  year = 2008
}