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An Improved Method For Real-Time Monitoring of Membrane Capacitance in Xenopus laevis Oocytes

Bernhard M. Schmitt, Hermann Koepsell
2002 Biophysical Journal  
Relative imprecision of C m estimates was small, independent of R s , and inversely related to C m (Ͻ1.5% at 50 nF, Ͻ0.4% at 200 nF).  ...  In the cell model and with R s ϭ 0 ⍀, inaccuracy of C m estimates was Ͻ1% under widely varying conditions (R m ranging from 100 to 2000 k⍀, and C m from 50 to 1000 nF).  ...  We thank Hans-Rainer Polder (NPI Electronic) for discussions and advice on design and mathematical modeling of the model circuit, Werner Baumgartner for help with mathematical modeling, and Wolfgang Schwarz  ... 
doi:10.1016/s0006-3495(02)75490-8 pmid:11867451 pmcid:PMC1301937 fatcat:4bhpmcffmvgphmh577vfpi3wyi

Automatic steering of behavioral model inference

David Lo, Leonardo Mariani, Mauro Pezzè
2009 Proceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering on European software engineering conference and foundations of software engineering symposium - ESEC/FSE '09  
Behavioral models mined with imprecise processes can include many spurious behaviors, and can thus compromise the results of testing and analysis techniques that use those models.  ...  Our generalization process that preserves temporal properties while merging states avoids breaking non-local relations, and thus solves one of the major cause of overgeneralized models.  ...  However, since we limit the length of the mined rules to 2, we can check our LTL properties in linear time with respect to the size of the model.  ... 
doi:10.1145/1595696.1595761 dblp:conf/sigsoft/LoMP09 fatcat:jvjfb4okbjdl3p72wpph6lyo6q

Risk Classification by Fuzzy Inference

Per-Johan Horgby
1998 The Geneva Papers on Risk and Insurance Theory  
Instead of a risk classification according to the numerical rating system, this article describes how to classify by using a fuzzy inference methodology.  ...  The presented fuzzy risk classification provides a more realistic way of modeling mortality risks since it allows for compensations and interactions between multiple risk factors.  ...  The author is also grateful to two anonymous referees as well as Professor Rolf Färe, Southern Illinois University at  ... 
doi:10.1023/a:1008682014796 fatcat:gb2nxttrgvafrm77lwus2gdlw4

Spatial market integration and price transmission for papaya markets in Ethiopia

Habte Zewdie
2017 Journal of Development and Agricultural Economics  
This work aims to study the integration of papaya market, price transmission and price causality patterns with the help of Johansen co-integration test, vector error correction model and Granger causality  ...  Johansen co-integration tests indicate that four papaya markets significantly co-integrated with each other.  ...  Co-integration, on the other hand, allows a way of dealing with time series data that avoids spurious results, thus enhancing the validity of research findings.  ... 
doi:10.5897/jdae2016.0777 fatcat:vprhydgzpveu3e2xxhphk2jhwa

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

Branko Ristic, Ba-Tuong Vo, Ba-Ngu Vo, Alfonso Farina
2013 IEEE Transactions on Signal Processing  
The common feature of Bernoulli filters is that they are designed for stochastic dynamic systems which randomly switch on and off.  ...  Bernoulli filters are a class of exact Bayesian filters for non-linear/non-Gaussian recursive estimation of dynamic systems, recently emerged from the random set theoretical framework.  ...  This concept can be traced back to [26] , [27] , where it was used to derive Kalman-type filters for linear/Gaussian on/off dynamic systems.  ... 
doi:10.1109/tsp.2013.2257765 fatcat:aid54difofb5nkljfwoouxlfd4

On the comparison of alternative specifications for money demand: The case of extremely low interest rate regimes in Japan

Kiyotaka Nakashima, Makoto Saito
2012 Journal of the Japanese and international economies (Print)  
Using Japanese money market data, this paper compares the predictive ability of the log-log specification with infinite elasticity at a zero-interest rate and the semilog specification with a one time  ...  We find that the latter specification dominates the former in terms of predictive ability for the extremely lowinterest rate regime (the period between 1999 and 2006) because under the former the semielasticity  ...  For each test, the null hypothesis is an integrated process with drift, and the relevant alternative hypothesis is a trend-stationary process with a one-time break in the trend at an unknown point in time  ... 
doi:10.1016/j.jjie.2012.04.001 fatcat:4h6ex26og5b25abjihzbdxwnrq

An annotated bibliography on accuracy in measurement

J. Paul Cali, K. N. Marsh
1983 Pure and Applied Chemistry  
long-term integrity of the measurement system is assured.  ...  Laniboy, A Bayesian Analysis of the Linear Calibration Problem, Technometrics.a3, 323-28 (1981) . A complete review of the statistical problems associated with calibration.  ...  The design, analysis, and interpretation of a round-robin in accordance with the linear model are presented, and the procedure is illustrated in terms of the results obtained in an interlaboratory study  ... 
doi:10.1351/pac198355060907 fatcat:jyc2su5w2jdktjkd6z3zwogrn4

Impact of glucuronide interferences on therapeutic drug monitoring of posaconazole by tandem mass spectrometry

Ralf Krüger, Michael Vogeser, Stephan Burghardt, Rita Vogelsberger, Karl J. Lackner
2010 Clinical Chemistry and Laboratory Medicine  
Results: During evaluation of UPLC-MS/MS, two earlier eluting peaks were observed in the MRM trace of posaconazole. This was only seen in patient samples, but not in spiked calibrator samples.  ...  In the LC-MS/MS procedure, comparably wide and left side shifted peaks were noticed. This could be ascribed to insource fragmentation of conjugate metabolites during electrospray ionisation.  ...  Moreover, the choice of MRM transition had a clear influence on method performance and imprecision if no online-SPE was applied (see Table 1 ).  ... 
doi:10.1515/cclm.2010.333 pmid:20704538 fatcat:4wxnoh4sfjc2jdu3sw3g2pd6sy

Inhibitory Control of Linear and Supralinear Dendritic Excitation in CA1 Pyramidal Neurons

Christina Müller, Heinz Beck, Douglas Coulter, Stefan Remy
2012 Neuron  
The transformation of dendritic excitatory synaptic inputs to axonal action potential output is the fundamental computation performed by all principal neurons.  ...  In addition, we demonstrate that the inhibitory control of spatially defined dendritic excitation is strongly regulated by network activity patterns.  ...  Spruston for helpful comments on the manuscript. We are also grateful to I. Soltesz and D. Feldmayer for assistance with interneuron staining. We thank the DZNE microscopy facility and F.  ... 
doi:10.1016/j.neuron.2012.06.025 pmid:22958825 fatcat:zhjtlh5ulbgqtp4ajg73ztrilq

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group) [article]

Zied Bouraoui and Antoine Cornuéjols and Thierry Denœux and Sébastien Destercke and Didier Dubois and Romain Guillaume and João Marques-Silva and Jérôme Mengin and Henri Prade and Steven Schockaert and Mathieu Serrurier and Christel Vrain
2019 arXiv   pre-print
synergies between KRR and ML (including topics such as belief functions on regression, EM algorithm versus revision, the semantic description of vector representations, the combination of deep learning  ...  Some common concerns are identified and discussed such as the types of used representation, the roles of knowledge and data, the lack or the excess of information, or the need for explanations and causal  ...  One remark is that mainstream ML has, so far, almost exclusively focused on providing computationally efficient learning procedures adapted to imprecise data given in the form of sets, as well as the associated  ... 
arXiv:1912.06612v1 fatcat:yfnx3pzs6jhxtggaylc76pwjc4

Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model

Antonio Calcagnì, Luigi Lombardi
2021 AStA Advances in Statistical Analysis  
The purpose of this article is to illustrate a statistical approach to analyse ratings data which integrates both random and non-random components of the rating process.  ...  Rather, they are imprecisely observed in the sense that they are subject to a non-random component of uncertainty, namely the decision uncertainty.  ...  Andrea Spirito for his helpful suggestions on an earlier draft of this manuscript.  ... 
doi:10.1007/s10182-021-00407-7 fatcat:3geyg3gfqzfphkrpgb4tqvwegy

Overview of SPICE-like circuit simulation algorithms

K.G. Nichols, T.J. Kazmierski, M. Zwolinski, A.D. Brown
1994 IEE Proceedings - Circuits Devices and Systems  
The precision of simulation, which also depends on the integration methods used, is then discussed, with particular reference to the analysis parameters of the SPICE simulator.  ...  An outline of equation formulation and time discretisation of the equations is followed by consideration of stability of the numerical integration methods.  ...  implication, a first-order integrator (e.g. the backward Euler).  ... 
doi:10.1049/ip-cds:19941246 fatcat:cxbwkcwznza5xlmdeng2gcpfji

Effect of Prior Direction Expectation on the Accuracy and Precision of Smooth Pursuit Eye Movements

Seolmin Kim, Jeongjun Park, Joonyeol Lee
2019 Frontiers in Systems Neuroscience  
The integration of sensory with top-down cognitive signals for generating appropriate sensory-motor behaviors is an important issue in understanding the brain's information processes.  ...  This analysis demonstrated that the strength of the sensory evidence depended not only on the strength of the sensory stimulus but also on the time required for the pursuit system to form a neural sensory  ...  was imprecise, along with the attraction of pursuit traces toward the prior direction.  ... 
doi:10.3389/fnsys.2019.00071 pmid:32038182 pmcid:PMC6988807 fatcat:w7qjnma6ezfnzj2smrwajq4b6e

Imprecise probabilities in engineering analyses

Michael Beer, Scott Ferson, Vladik Kreinovich
2013 Mechanical systems and signal processing  
A common feature of the various concepts of imprecise probabilities is the consideration of an entire set of probabilistic models in one analysis.  ...  Evidence theory, probability bounds analysis with p-boxes, and fuzzy probabilities are discussed with emphasis on their key features and on their relationships to one another.  ...  The adoption of imprecise probabilities and related theories for the solution of engineering problems can be traced, in its early stage, with the publications [83, 84, 85, 86, 87] .  ... 
doi:10.1016/j.ymssp.2013.01.024 fatcat:jxsadh5zwfab7mc7cjltp3a4ny

Modeling random and non-random decision uncertainty in ratings data: A fuzzy beta model [article]

Antonio Calcagnì, Luigi Lombardi
2021 arXiv   pre-print
The purpose of this article is to illustrate a statistical approach to analyse ratings data which integrates both random and non-random components of the rating process.  ...  Rather, they are imprecisely observed in the sense that they are subject to a non-random component of uncertainty, namely the decision uncertainty.  ...  The first author's thanks are due to Dr. Andrea Spirito for his helpful suggestions on an earlier draft of this manuscript.  ... 
arXiv:2006.16051v2 fatcat:ylkktwtdv5hcfgeylfpovsr2pe
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