Bibliographies thématiques / Kinetic data

Littérature scientifique sur le sujet « Kinetic data »

Auteur : Grafiati
Publié le 20 juillet 2024

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Articles de revues sur le sujet "Kinetic data"

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Zaikov, Gennady, et Klara Gumargalieva. « Biodegradation of Polymeric Materials. Generalized Kinetic Data ». Chemistry & ; Chemical Technology 4, no 3 (15 septembre 2010) : 197–203. http://dx.doi.org/10.23939/chcht04.03.197.

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The information about generalized kinetic data which can describe biodegradation of polymeric materials (kinetics of biomass growth and methods of investigation of its formal mechanism of biodegradation, microorganism adhesion) has been presented in this paper.
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Chan, T. W., G. D. Shyu et A. I. Isayev. « Reduced Time Approach to Curing Kinetics, Part I : Dynamic Rate and Master Curve from Isothermal Data ». Rubber Chemistry and Technology 66, no 5 (1 novembre 1993) : 849–64. http://dx.doi.org/10.5254/1.3538349.

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Abstract A reduced time approach has been used to predict nonisothermal curing kinetics based on isothermal kinetic data. This approach makes it clear that the conversion in a kinetic process is a function of the reduced time alone and allows for the construction of a master curve from isothermal kinetic data, indicating that the dynamic (or nonisothermal ) rate is equal to the isothermal rate. The approach can be applied to curing, crystallization, and other physico-chemical kinetics. A method is also described for correcting the nonisothermal curing kinetic data obtained from differential scanning calorimetry ( DSC ) for a temperature lag between the sample and the DSC furnace. For two rubber compounds, it has been found that the nonisothermal curing kinetic data corrected for this temperature lag are in better agreement with the predictions based on isothermal kinetics than the uncorrected data.
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Rossetti, Ilenia, Francesco Conte et Gianguido Ramis. « Kinetic Modelling of Biodegradability Data of Commercial Polymers Obtained under Aerobic Composting Conditions ». Eng 2, no 1 (20 février 2021) : 54–68. http://dx.doi.org/10.3390/eng2010005.

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Methods to treat kinetic data for the biodegradation of different plastic materials are comparatively discussed. Different samples of commercial formulates were tested for aerobic biodegradation in compost, following the standard ISO14855. Starting from the raw data, the conversion vs. time entries were elaborated using relatively simple kinetic models, such as integrated kinetic equations of zero, first and second order, through the Wilkinson model, or using a Michaelis Menten approach, which was previously reported in the literature. The results were validated against the experimental data and allowed for computation of the time for half degradation of the substrate and, by extrapolation, estimation of the final biodegradation time for all the materials tested. In particular, the Michaelis Menten approach fails in describing all the reported kinetics as well the zeroth- and second-order kinetics. The biodegradation pattern of one sample was described in detail through a simple first-order kinetics. By contrast, other substrates followed a more complex pathway, with rapid partial degradation, subsequently slowing. Therefore, a more conservative kinetic interpolation was needed. The different possible patterns are discussed, with a guide to the application of the most suitable kinetic model.
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König, Matthias. « cy3sabiork : A Cytoscape app for visualizing kinetic data from SABIO-RK ». F1000Research 5 (18 juillet 2016) : 1736. http://dx.doi.org/10.12688/f1000research.9211.1.

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Kinetic data of biochemical reactions are essential for the creation of kinetic models of biochemical networks. One of the main resources of such information is SABIO-RK, a curated database for kinetic data of biochemical reactions and their related information. Despite the importance for computational modelling there has been no simple solution to visualize the kinetic data from SABIO-RK. In this work, I present cy3sabiork, an app for querying and visualization of kinetic data from SABIO-RK in Cytoscape. The kinetic information is accessible via a combination of graph structure and annotations of nodes, with provided information consisting of: (I) reaction details, enzyme and organism; (II) kinetic law, formula, parameters; (III) experimental conditions; (IV) publication; (V) additional annotations. cy3sabiork creates an intuitive visualization of kinetic entries in form of a species-reaction-kinetics graph, which reflects the reaction-centered approach of SABIO-RK. Kinetic entries can be imported in SBML format from either the SABIO-RK web interface or via web service queries. The app allows for easy comparison of kinetic data, visual inspection of the elements involved in the kinetic record and simple access to the annotation information of the kinetic record. I applied cy3sabiork in the computational modelling of galactose metabolism in the human liver.
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Burgess, Donald R., et Jeffrey A. Manion. « 70 Years of Evaluated Chemical Kinetics Data in the Journal of Physical and Chemical Reference Data, the National Standard Reference Data System Series, and the NBS Kinetics Data Center ». Journal of Physical and Chemical Reference Data 51, no 2 (1 juin 2022) : 021501. http://dx.doi.org/10.1063/5.0091497.

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We provide an overview of 70 years of evaluated chemical kinetic data published in the Journal of Physical and Chemical Reference Data (dating to 1972), the National Standard Reference Data System series (dating to 1965), as part of the National Bureau of Standards Chemical Kinetics Data Center (dating to 1951), and the National Institute of Standards and Technology Chemical Kinetics Database (SRD 17) (dating to 1990).
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Burgess, Donald R., et Jeffrey A. Manion. « 70 Years of Evaluated Chemical Kinetics Data in the Journal of Physical and Chemical Reference Data, the National Standard Reference Data System Series, and the NBS Kinetics Data Center ». Journal of Physical and Chemical Reference Data 51, no 2 (1 juin 2022) : 021501. http://dx.doi.org/10.1063/5.0091497.

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We provide an overview of 70 years of evaluated chemical kinetic data published in the Journal of Physical and Chemical Reference Data (dating to 1972), the National Standard Reference Data System series (dating to 1965), as part of the National Bureau of Standards Chemical Kinetics Data Center (dating to 1951), and the National Institute of Standards and Technology Chemical Kinetics Database (SRD 17) (dating to 1990).
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Panayotou, G. « Kinetic data reliability ». Trends in Biochemical Sciences 22, no 5 (mai 1997) : 149. http://dx.doi.org/10.1016/s0968-0004(97)01037-2.

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Dumitraşa, Mihai. « Non-parametric kinetic analysis of thermogravimetric data for the thermal degradation of poly(tetrafluorethylene) ». Acta Chemica Iasi 22, no 2 (1 décembre 2014) : 97–112. http://dx.doi.org/10.2478/achi-2014-0009.

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Abstract Thermal degradation of Teflon was investigated by thermoanalytical methods (TG and DTA). In the kinetic analysis of the experimental data, the NPK method proves to be a valuable tool, allowing for some new kinetic aspects of the degradation process to be obtained. Analysis of the computed isothermal and isoconversional vectors provided some insight into the reaction kinetics. Two different initiation pathways were suggested to control the global degradation kinetics, their relative contribution being temperature-dependant
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Krebs, Olga, Martin Golebiewski, Renate Kania, Saqib Mir, Jasmin Saric, Andreas Weidemann, Ulrike Wittig et Isabel Rojas. « SABIO-RK : A data warehouse for biochemical reactions and their kinetics ». Journal of Integrative Bioinformatics 4, no 1 (1 mars 2007) : 22–30. http://dx.doi.org/10.1515/jib-2007-49.

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Abstract Systems biology is an emerging field that aims at obtaining a system-level understanding of biological processes. The modelling and simulation of networks of biochemical reactions have great and promising application potential but require reliable kinetic data. In order to support the systems biology community with such data we have developed SABIO-RK (System for the Analysis of Biochemical Pathways - Reaction Kinetics), a curated database with information about biochemical reactions and their kinetic properties, which allows researchers to obtain and compare kinetic data and to integrate them into models of biochemical networks. SABIO-RK is freely available for academic use at http://sabio.villa-bosch.de/SABIORK/.
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Van Praagh, Andrew, Bo Nelson, Paul Ballieu, Melanie Smith et Mike Rule. « Abstract 7427 : Automated, real-time acquisition and quantification of peak, plateau-phase in vivo bioluminescent data ». Cancer Research 84, no 6_Supplement (22 mars 2024) : 7427. http://dx.doi.org/10.1158/1538-7445.am2024-7427.

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Abstract It is widely recognized that plateau-phase bioluminescent (BL) kinetic curve data should be used when reporting on BLI results from substrate-injection BLI model systems. The basis for this understanding is that plateau-phase BL data is uniquely suited in several ways: (i) it will optimize the detection of target, luciferase-expressing cells (especially when they are low in copy number or deep within the animal model), (ii) it will optimize BLI data reproducibility (with there being no change in signal values across the plateau phase), and (iii) it will also provide BLI data values that correlate consistently with the number of viable target cells in a given BLI model. Given this critical value of plateau-phase BL data, there is, nevertheless, a simple practical issue to be addressed: The overall manual process of generating BL kinetic curves, and then identifying and quantifying plateau-phase data is not insignificant—it takes time!In this poster, we review the performance of “Kinetics,” a new feature in the Aura software platform from Spectral Instruments Imaging, LLC. Kinetics is designed to collect, present, and analyze BL kinetic curve data for up to 10 mice, in a completely automated and real-time fashion. Data outputs include a live graph that simultaneously presents individual mouse, whole body ROI (Total photon/sec) values vs. time post-luciferase injection, and analogous mean BL values per mouse group. Here in, we present an evaluation of the performance of Kinetics under various testing conditions. We initially evaluated Kinetics’ ability to acquire, present and analyze the BL kinetic curves of 5 phantoms. The photon output rates of these phantoms (Total photons/sec) were programmed to mimic the rise, plateau, and fall sequence typically seen BLI studies. In an analogous fashion, we then tested Kinetics’ ability to acquire, present, and analyze the BL kinetic curves of 5 to 10 live mice from several oncology models. Furthermore, we used Kinetics in oncology efficacy studies to monitor for expected changes in BL kinetic curve shapes (i.e., for changes in the onset times and durations of the rise, plateau and fall phases in BL kinetic curves) between different treatment groups (e.g., between positive controls groups and one or more treatment groups). In the same studies, we also used Kinetics to check for changes in BL kinetic curve shapes that might occur for a given treatment group across several time points, after pathogen challenge. Results from this set of experiments consistently and clearly illustrated the capability of Kinetics to acquire, present and analyze individual and mean BL kinetic curve data for up to 10 mice at a time, in an automated and real-time fashion. We believe that Kinetics from Spectral Instruments Imaging, LLC, has the potential to revolutionize the ease with which plateau-phase, BL kinetic curve data can be collected, presented, and used in a wide range of preclinical BLI studies. Citation Format: Andrew Van Praagh, Bo Nelson, Paul Ballieu, Melanie Smith, Mike Rule. Automated, real-time acquisition and quantification of peak, plateau-phase in vivo bioluminescent data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7427.
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Thèses sur le sujet "Kinetic data"

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Russel, Daniel. « Kinetic data structures in practice / ». May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Agouris, Ioannis. « The variability of force platform, kinematic and kinetic data in normal and cerebral palsy gait ». Thesis, University of Aberdeen, 2002. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU154295.

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Gait analysis can produce useful results once the natural and systematic variability of gait measurements is established [1]. It was therefore the purpose of this study to investigate the variability of temporal-spatial, kinematic and kinetic parameters of gait, in adults and children with normal gait as well as in children with cerebral palsy (CP) gait, using three-dimensional motion analysis. Investigations of the variability and symmetry of ground reaction force (GRF) data, in healthy and CP children, using time and frequency domain analysis, concluded that GRF data in CP children was more variable compared to normal. The vertical force was the least and the mediolateral force the most variable parameter. Time domain analysis is limited since it involves only selected points of the force-time curves, whereas frequency domain analysis contains information about the entire waveforms. Motion analysis require reflective markers attached on the subject's skin. Marker misplacement is considered a major source of variability in gait analysis [2]. A marker placement protocol was established and validated by eight different marker applicators. Within and between-applicators reproducibility was high. Consistency in applying an established protocol is important, although the marker positions may not be entirely accurate. The effect of marker misplacement on the kinematics and kinetics of gait was quantified by using modelling software. The gait parameters in the transverse plane were the most sensitive to market misplacement, which should be taken into account during examination of gait analysis reports. Temporal-spatial, kinematic and kinetic patterns of gait, in adults and children (healthy and CP), were determined. All parameters of normal gait showed considerable repeatability, with kinetics being more repeatable than kinematics. CP gait showed repeatability in the sagittal and frontal plane, however the transfer plane kinematic parameters were highly variable.
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Liu, Lingyi. « Concussion balance and postural stability assessment system using kinetic data analysis ». Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50256.

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In current scientific literature, there are numerous approaches that clinicians can use to assess the static postural stability of patients. Among them, the Balance Error Scoring System is a notable method with merits such as cost-effectiveness and portability. Traditional measurement of errors made by patients in BESS test experiment relies on the manual inspection of sophisticated clinicians to the whole experiment process. A new avenue of detecting errors with wireless sensor network and signal processing technique can eliminate the instability from subjective evaluation in traditional method. This thesis present a reliable analytical system that can provide accurate evaluation on errors in BESS test of patient with concussion to assist clinicians to investigate their standing postural stability. In this research, the kinetic signal data is collected by wearable WSN equipment consisting of seven sensors embedded with accelerometer and gyroscope fixed on body of patients while they are completing BESS experiment. We use experimental data of 30 subjects to train back-propagation neural network and test the performance of neural network with testing data set. In this procedure, statistical technique such as principal component analysis and independent component analysis are applied in the step of signal pre-processing. Meanwhile, feature extraction is an alternative pre-processing technique for kinetic signal and the feature data serves as input data to train the neural network. With regard to target training data, the standard error information are acquired from the analysis of a group of researchers on video of the conducted experiment and we present them with Gaussian curve signal indicating the possibility of the error event. By testing the neural network, the technique of feature extraction in combination with back-propagation neural network is confirmed to account for the most optimal assessment of the postural error in BESS test. Furthermore, we can confirm the type of each detected error from six possible types of postural errors with neural network classification technique. Each type of error is corresponding to a certain unstable posture according to “BESS Protocol”. Ultimately, the presented error detecting system is convinced to supply reliable evaluation of the static postural stability of patients with concussion problem.
Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Green, Darren. « Acquisition of kinetic and scale-up data from heat flow calorimetry ». Thesis, London South Bank University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367899.

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Schabort, Willem Petrus Du Toit. « Integration of kinetic models with data from 13C-metabolic flux experiments ». Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/707.

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Gaisford, Simon. « Kinetic and thermodynamic investigation of a series of pharmaceutical excipients ». Thesis, University of Kent, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242881.

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Ortiz, Joseph Christian, et Joseph Christian Ortiz. « Estimation of Kinetic Parameters From List-Mode Data Using an Indirect Approach ». Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/621785.

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This dissertation explores the possibility of using an imaging approach to model classical pharmacokinetic (PK) problems. The kinetic parameters which describe the uptake rates of a drug within a biological system, are parameters of interest. Knowledge of the drug uptake in a system is useful in expediting the drug development process, as well as providing a dosage regimen for patients. Traditionally, the uptake rate of a drug in a system is obtained via sampling the concentration of the drug in a central compartment, usually the blood, and fitting the data to a curve. In a system consisting of multiple compartments, the number of kinetic parameters is proportional to the number of compartments, and in classical PK experiments, the number of identifiable parameters is less than the total number of parameters. Using an imaging approach to model classical PK problems, the support region of each compartment within the system will be exactly known, and all the kinetic parameters are uniquely identifiable. To solve for the kinetic parameters, an indirect approach, which is a two part process, was used. First the compartmental activity was obtained from data, and next the kinetic parameters were estimated. The novel aspect of the research is using listmode data to obtain the activity curves from a system as opposed to a traditional binned approach. Using techniques from information theoretic learning, particularly kernel density estimation, a non-parametric probability density function for the voltage outputs on each photo-multiplier tube, for each event, was generated on the fly, which was used in a least squares optimization routine to estimate the compartmental activity. The estimability of the activity curves for varying noise levels as well as time sample densities were explored. Once an estimate for the activity was obtained, the kinetic parameters were obtained using multiple cost functions, and the compared to each other using the mean squared error as the figure of merit.
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Arslan, Mine Özge Alsoy Altınkaya Sacide. « measurement and modeling of thermodynamic and kinetic data of membrane forming systems/ ». [s.l.] : [s.n.], 2007. http://library.iyte.edu.tr/tezlerengelli/master/kimyamuh/T000617.pdf.

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Sahrom, Sofyan. « Beyond jump height : Understanding the kinematics and kinetics of the countermovement jump from vertical ground reaction force data through the use of higher-order time derivatives ». Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2019. https://ro.ecu.edu.au/theses/2235.

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The countermovement jump (CMJ) is a complex, multi-joint movement that has been well studied in human research, largely through analysis of the ground reaction force-time signal obtained during jumping. Such analysis has required the definition and then the calculation of several critical kinematic and kinetic variables (including peak force, peak eccentric [braking] force, peak power, rate of propulsive force development, modified reactive strength index) which are used to describe jump performance as well as the jumper’s overall neuromuscular function. The accurate calculation of these variables first requires precise identification of critical kinematic and kinetic ‘events’ (e.g. start of jump, end of downward [braking] phase, jump take-off point, etc.), although the accuracy of event identification has not been thoroughly investigated to date, and incorrect event definitions have been commonly used. The main purpose of the current research is to assess the viability of using the yank-time signal, derived from the vertical ground reaction force-time signal, to (i) provide improved detection accuracy of important kinematic and kinetic events using information contained with the ground reaction force-time signal, which have not been perfectly identifiable using existing methods (especially for individuals who exhibit specific ground reaction force profiles; e.g. a bimodal propulsive phase force-time relation) as well as to (ii) determine the association between these events and muscle activation and kinematic temporal profiles during the CMJ, and (iii) examine the effect of the use of new definitions/calculations on the magnitude on important kinematic and kinetic variables. This would allow practitioners to better understand the different movement patterns employed by individuals during CMJs and make appropriate inferences for the detection of technique faults, guidance of exercise programming, etc. The information will also be of interest to animal locomotion biomechanists aiming to infer kinematic and muscle activation events directly from easily-obtained force platform recordings without the need for motion analysis or electromyographic analyses. Deriving the yank-time signal from the vertical ground reaction force-time signal is achieved through differentiation, which can significantly reduce the signal-to-noise ratio and possibly prevent meaningful inference. To ensure the most optimal yank-time signal is derived, three different methods of deriving the yank-time signal were compared in Study 1, and it was established that a combination of 4th-order Butterworth filter and 2nd-order central differentiation yields a suitable yank-time signal for the purpose of identification of centre of mass displacement events during countermovement jumping in humans. In Study 2 the ground reaction force-time signal obtained during maximal CMJ were described in relation to the kinematic and kinetic (including muscular/internal force) events that underpin it through the use of yank and jerk calculations (the time-derivatives of force (kinetics) and acceleration (kinematics)). Events that have not previously been identifiable directly from the force-time record, including the initiation of knee joint flexion (which occurs ~75 ± 88 ms prior to a significant (detectable) decrease in the ground reaction force) and the first movement of the body’s centre of mass (which occurs ~81 ± 78 ms after a decrease in the ground reaction force) were found to be easily and accurately identifiable. The muscle activation and kinematic temporal profiles of individuals with different ground reaction force-time profiles (e.g. unimodal or bimodal propulsive force records) were explored to better understand the factors underpinning the different movement patterns employed by individuals during CMJ. This study represents the main work done within the thesis project. With the viability of the yank-time signal established, the present research then investigated the implications of these new event definitions on the calculation of commonly-calculated CMJ performance variables, including the rate of force development (RFD) and modified reactive strength index (RSImod). For the latter, its suitability as an analogue for the reactive strength index (RSI) measured during drop jumping was simultaneously explored. Both RFD and RSImod were found to be undercalculated by 160% and 22%, respectively. More importantly, the difference in RFD led to significant differences in the rank order of individuals within the whole cohort (n = 32) by up to 30 places (i.e. 93.8%, decrease in rank). which in turn would critically affect the conclusions drawn of an individual‘s physical function. Thus, accurate identification of specific events during jumping using yank-time data leads to different estimates of variables such as RFD and RSImod, which may have implications for human performance testing in the applied sport setting.
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Ainsworth, Holly Fiona. « Bayesian inference for stochastic kinetic models using data on proportions of cell death ». Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2499.

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The PolyQ model is a large stochastic kinetic model that describes protein aggregation within human cells as they undergo ageing. The presence of protein aggregates in cells is a known feature in many age-related diseases, such as Huntington's. Experimental data are available consisting of the proportions of cell death over time. This thesis is motivated by the need to make inference for the rate parameters of the PolyQ model. Ideally observations would be obtained on all chemical species, observed continuously in time. More realistically, it would be hoped that partial observations were available on the chemical species observed discretely in time. However, current experimental techniques only allow noisy observations on the proportions of cell death at a few discrete time points. This presents an ambitious inference problem. The model has a large state space and it is not possible to evaluate the data likelihood analytically. However, realisations from the model can be obtained using a stochastic simulator such as the Gillespie algorithm. The time evolution of a cell can be repeatedly simulated, giving an estimate of the proportion of cell death. Various MCMC schemes can be constructed targeting the posterior distribution of the rate parameters. Although evaluating the marginal likelihood is challenging, a pseudo-marginal approach can be used to replace the marginal likelihood with an easy to construct unbiased estimate. Another alternative which allows for the sampling error in the simulated proportions is also considered. Unfortunately, in practice, simulation from the model is too slow to be used in an MCMC inference scheme. A fast Gaussian process emulator is used to approximate the simulator. This emulator produces fully probabilistic predictions of the simulator output and can be embedded into inference schemes for the rate parameters. The methods developed are illustrated in two smaller models; the birth-death model and a medium sized model of mitochondrial DNA. Finally, inference on the large PolyQ model is considered.
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Livres sur le sujet "Kinetic data"

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Saenger, W., dir. Spectroscopic and Kinetic Data. Physical Data I. Berlin/Heidelberg : Springer-Verlag, 1990. http://dx.doi.org/10.1007/b34251.

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Cornish-Bowden, Athel. Analysis of enzyme kinetic data. Oxford : Oxford University Press, 1995.

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Westley, Francis. Compilation of chemical Kinetic data for combustion chemistry. Washington : National Bureau of Standards, 1987.

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Westley, Francis. Compilation of chemical kinetic data for combustion chemistry. Gaithersburg, MD : U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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Westley, Francis. Compilation of chemical kinetic data for combustion chemistry. Washington : U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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F, Burgess D. R., et National Institute of Standards and Technology (U.S.), dir. Thermochemical and chemical kinetic data for fluorinated hydrocarbons. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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Westley, Francis. Compilation of chemical kinetic data for combustion chemistry. Gaithersburg, MD : U.S. Dept. of Commerce, National Bureau of Standards, 1987.

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F, Burgess D. R., et National Institute of Standards and Technology (U.S.), dir. Thermochemical and chemical kinetic data for fluorinated hydrocarbons. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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F, Burgess D. R., et National Institute of Standards and Technology (U.S.), dir. Thermochemical and chemical kinetic data for fluorinated hydrocarbons. Gaithersburg, MD : U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1995.

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United States. National Aeronautics and Space Administration., dir. Calculation of kinetic rate constants from thermodynamic data. [Washington, DC] : National Aeronautics and Space Administration, 1995.

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Chapitres de livres sur le sujet "Kinetic data"

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Speckmann, Bettina. « Kinetic Data Structures ». Dans Encyclopedia of Algorithms, 1046–48. New York, NY : Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_191.

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Speckmann, Bettina. « Kinetic Data Structures ». Dans Encyclopedia of Algorithms, 417–19. Boston, MA : Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-30162-4_191.

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Downing, Bruce W. « Kinetic Testing Data Interpretation ». Dans Acid Mine Drainage, Rock Drainage, and Acid Sulfate Soils, 261–65. Hoboken, NJ, USA : John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118749197.ch22.

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Staude, Gerhard, et Werner Wolf. « Change-Point Detection in Kinetic Signals ». Dans Medical Data Analysis, 43–48. Berlin, Heidelberg : Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-39949-6_7.

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Murphy, Regina M. « Kinetic Analysis of Aggregation Data ». Dans Methods in Molecular Biology, 201–17. Totowa, NJ : Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-438-8_15.

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Turányi, Tamás, et Alison S. Tomlin. « Mechanism Construction and the Sources of Data ». Dans Analysis of Kinetic Reaction Mechanisms, 39–52. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44562-4_3.

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Punekar, N. S. « Enzyme Kinetic Data : Collection and Analysis ». Dans ENZYMES : Catalysis, Kinetics and Mechanisms, 193–211. Singapore : Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0785-0_17.

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Rokka Chhetri, Sujit, et Mohammad Abdullah Al Faruque. « Data-Driven Kinetic Cyber-Attack Detection ». Dans Data-Driven Modeling of Cyber-Physical Systems using Side-Channel Analysis, 91–109. Cham : Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37962-9_5.

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Friedler, Sorelle A., et David M. Mount. « Compressing Kinetic Data from Sensor Networks ». Dans Algorithmic Aspects of Wireless Sensor Networks, 191–202. Berlin, Heidelberg : Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05434-1_20.

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Weller, René. « Kinetic Data Structures for Collision Detection ». Dans Springer Series on Touch and Haptic Systems, 49–89. Heidelberg : Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01020-5_3.

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Actes de conférences sur le sujet "Kinetic data"

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Basch, Julien, João Comba, Leonidas J. Guibas, John Hershberger, Craig D. Silverstein et Li Zhang. « Kinetic data structures ». Dans the fifteenth annual symposium. New York, New York, USA : ACM Press, 1999. http://dx.doi.org/10.1145/304893.305004.

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Moretti, Caio B., Alexandre C. B. Delbem et Hermano I. Krebs. « Human-Robot Interaction : Kinematic and Kinetic Data Analysis Framework ». Dans 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob). IEEE, 2020. http://dx.doi.org/10.1109/biorob49111.2020.9224415.

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Badashian, Ali Sajedi, et Mohammad Reza Razzazi. « Kinetic Convex Hull Algorithm Using Spiral Kinetic Data Structure ». Dans 2007 International Conference on Computational Science and its Applications (ICCSA 2007). IEEE, 2007. http://dx.doi.org/10.1109/iccsa.2007.72.

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Eletskii, A. V., et A. N. Starostin. « Kinetic Coefficients in Dense Media ». Dans ATOMIC AND MOLECULAR DATA AND THEIR APPLICATIONS : 5th International Conference on Atomic and Molecular Data and Their Applications (ICAMDATA). AIP, 2007. http://dx.doi.org/10.1063/1.2727367.

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Fairley, Gerard T., et Seamus McGovern. « A Kinematic/Kinetic Hybrid Airplane Simulator Model ». Dans ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-66430.

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A kinematics-based flight model, for normal flight regimes, currently uses precise flight data to achieve a high level of aircraft realism. However, it was desired to further increase the model’s accuracy, without a substantial increase in program complexity, by determining the vertical velocity and vertical acceleration using EUROCONTROL’s Base of Aircraft DAta (BADA) model [1]. BADA is a well-known aircraft performance database model maintained and developed by EUROCONTROL Experimental Centre in France. The hybrid model uses the BADA algorithm to determine the vertical velocity and gives original results for determining the vertical acceleration. The approximate accuracy of these vertical parameters was checked by comparing them with preexisting test distributions [2] and an in-house flight simulator application. The hybrid model uses kinematic algorithms for all other functions and parameters. To obtain specific results, C code was written to access text data from BADA’s collection of approximately one hundred airplanes. Accessing this database causes an increase in overall program execution time that was deemed acceptable due to the infrequency of changing plane types. Also, by examining many airplane trajectories obtained from different BADA airplanes, we determined that the model is accurate enough to uniquely represent many different types of aircraft.
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Wijayarathne, Lasitha, et Frank L. Hammond. « Kinetic Measurement Platform for Open Surgical Skill Assessment ». Dans 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3525.

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Current surgical skill assessment methods are often based on the kinematics of manual surgical instruments during tool-tissue interactions. Though kinematic data are generally regarded as a sufficient basis for skill assessment, the inclusion of kinetic information would allow the assessment of measures such as “respect for tissue” and force control, which are also important aspects of surgical proficiency. Kinetic data would also provide a richer data set upon which automated surgical motion segmentation and classification algorithms can be developed. However, the kinetics of tool-tissue interactions are seldom included in assessments, due largely to the difficulty of mounting small sensors — typically silicon strain gauges — onto surgical instruments to capture force data. Electromagnetic (EM) or optical trackers used for kinematic measurement are often tethered, and thus having tethered force sensors also mounted on the same surgical instruments would complicate the experimental process and could affect/distort the acquired data by impeding the natural manual motions of surgeons. We present a surgical skill assessment platform which places the kinetic sensors in the environment, not on the instruments, to reduce the physical encumbrance of the system to the surgeon. This system can capture kinetic data using a standalone force/torque sensor embedded in a custom designed workspace platform, and kinematic data using EM trackers placed on the instruments. This portable platform enables the empirical characterization of open surgery motion trajectories and corresponding kinetic data without need for a centralized acquisition site, and will eventually be integrated into a completely untethered skill assessment system.
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Basch, Julien, Leonidas J. Guibas, Craig D. Silverstein et Li Zhang. « A practical evaluation of kinetic data structures ». Dans the thirteenth annual symposium. New York, New York, USA : ACM Press, 1997. http://dx.doi.org/10.1145/262839.263016.

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Marek, C. « Calculation of kinetic rate constants from thermodynamic data ». Dans 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina : American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-218.

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Bowen, Trevor A., Benjamin D. G. Chandran, Kristopher G. Klein, Alfred Mallet, Stuart D. Bale, Jonathan Squire et Jaye Verniero. « Data-Driven Representations of Ion-Kinetic Distribution Functions ». Dans 2023 XXXVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). IEEE, 2023. http://dx.doi.org/10.23919/ursigass57860.2023.10265538.

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Kim, Keunsoo, Paxton W. Wiersema, Je Ir Ryu, Eric Mayhew, Jacob Temme, Chol-Bum Kweon et Tonghun Lee. « Data-Driven approaches to optimize chemical kinetic models ». Dans AIAA SCITECH 2022 Forum. Reston, Virginia : American Institute of Aeronautics and Astronautics, 2022. http://dx.doi.org/10.2514/6.2022-0225.

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Rapports d'organisations sur le sujet "Kinetic data"

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Westley, Francis, John T. Herron et R. J. Cvetanovic. Compilation of chemical kinetic data for combustion chemistry :. Gaithersburg, MD : National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.nsrds.73p1.

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Westley, Francis, John T. Herron et R. J. Cvetanovic. Compilation of chemical kinetic data for combustion chemistry :. Gaithersburg, MD : National Bureau of Standards, 1987. http://dx.doi.org/10.6028/nbs.nsrds.73p2.

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Burgess, Donald R. F. Thermochemical and chemical kinetic data for fluorinated hydrocarbons. Gaithersburg, MD : National Bureau of Standards, 1995. http://dx.doi.org/10.6028/nist.tn.1412.

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Mitchell, R., R. Hurt, L. Baxter et D. Hardesty. Compilation of Sandia coal char combustion data and kinetic analyses. Office of Scientific and Technical Information (OSTI), juin 1992. http://dx.doi.org/10.2172/7045508.

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Elkevag, Sindre Wold, Harald Grondahl, Henrik Sletten, Helene Silseth et Martin Steinert. Analysis of Kinetic and kinematic data from instrumented outrigger-skis of an elite Paralympic alpine skier : a pilot study. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317541.

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Glass, Samuel V., Samuel L. Zelinka, Charles R. Boardman et Emil Engelund Thybring. Promoting advances in understanding water vapor sorption in wood : relegating popular models and misconceptions. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541615744.

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Water vapor sorption is a fundamental characteristic of wood as a building material. Apart from empirical prediction, models are often used to interpret the time-dependent process of water vapor uptake (sorption kinetics) and equilibrium states of water in wood (sorption isotherms). This paper summarizes our recent investigations into measurement methods and popular models that are widely used for interpreting these physical phenomena. Commonly used criteria for determining equilibrium moisture content with the dynamic vapor sorption technique yield much larger errors than previously thought. A more rigorous equilibrium criterion and a method to reduce data acquisition time are proposed. Evaluation of the parallel exponential kinetics model with improved data and multi-exponential decay analysis indicates that this model is unable to characterize the full sorption kinetic response following a step change in relative humidity. Fitting of common sorption isotherm models to high-quality equilibrium data for wood gives model predicted physical quantities such as monolayer capacity and enthalpy of sorption that are far from agreement with independently measured data. Thus, these models are not valid for water vapor sorption in wood. New theoretical models are needed that correctly describe the physical phenomena.
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Ploenjes, E., P. Palm, I. Adamovich, W. Lempert et V. Subramaniam. Experimental and Analytical Development of Kinetic Rate Data for Radiating Rocket Plume Species. Fort Belvoir, VA : Defense Technical Information Center, juillet 2002. http://dx.doi.org/10.21236/ada406003.

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Tsang, Wing, Samuel Manzello, Collen Stroud, Michael Donovan, Valeri Babushok, Kermit Smyth, Charles Frayne et al. A NIST Kinetic Data Base for PAH Reaction and Soot Particle Inception During Combusion. Fort Belvoir, VA : Defense Technical Information Center, décembre 2007. http://dx.doi.org/10.21236/ada637528.

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Pennekamp, Richard A. A Computer Program to Reduce Digitized Yaw-Card Data from Finned Kinetic-Energy Projectiles. Fort Belvoir, VA : Defense Technical Information Center, décembre 1991. http://dx.doi.org/10.21236/ada244098.

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Coltrin, M. E., et H. K. Moffat. Surftherm : A program to analyze thermochemical and kinetic data in gas-phase and surface chemical reaction mechanisms. Office of Scientific and Technical Information (OSTI), juin 1994. http://dx.doi.org/10.2172/10170995.

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