Relevant bibliographies by topics / Calculation prediction

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Calculation prediction'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 February 2022

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Journal articles on the topic "Calculation prediction"

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Fischer, G., A. Neurauter, L. Wieser, H. U. Strohmenger, and C. N. Nowak. "Prediction of Countershock Success." Methods of Information in Medicine 48, no. 05 (2009): 486–92. http://dx.doi.org/10.3414/me0580.

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Summary Objectives: Spectral analysis of the ventricular fibrillation (VF) ECG has been used for predicting countershock success, where the Fast Fourier Transformation (FFT) is the standard spectral estimator. Autoregressive (AR) spectral estimation should compute the spectrum with less computation time. This study compares the predictive power and computational performance of features obtained by the FFT and AR methods. Methods: In an animal model of VF cardiac arrest, 41 shocks were delivered in 25 swine. For feature parameter analysis, 2.5 s signal intervals directly before the shock and directly before the hands-off interval were used, respectively. Invasive recordings of the arterial pressure were used for assessing the outcome of each shock. For a proof of concept, a micro-controller program was implemented. Results: Calculating the area under the receiver operating characteristic (ROC) curve (AUC), the results of the AR-based features called spectral pole power (SPP) and spectral pole power with dominant frequency (DF) weighing (SPPDF) yield better outcome prediction results (85 %; 89 %) than common parameters based on FFT calculation method (centroid frequency (CF), amplitude spectrum area (AMSA)) (72%; 78%) during hands-off interval. Moreover, the predictive power of the feature parameters during ongoing CPR was not invalidated by closed-chest compressions. The calculation time of the AR-based parameters was nearly 2.5 times faster than the FFT-based features. Conclusion: Summing up, AR spectral estimators are an attractive option compared to FFT due to the reduced computational speed and the better outcome prediction. This might be of benefit when implementing AR prediction features on the microprocessor of a semi-automatic defibrillator.
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Lin, Y., E. Lin, and M. Ling. "Strain Concentration Calculation of Fatigue." Journal of Engineering Materials and Technology 117, no. 2 (April 1, 1995): 179–82. http://dx.doi.org/10.1115/1.2804527.

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On the basis of the authors’ rule of sliding to transform elastic solution to plastic in a previous paper, a new method of calculating fatigue is developed by using ordinary relaxation methods in conjunction to take care of the gradual enlarging of the plastic zone. The results of the calculations agree with the experimental data by the fine grid method. The calculation method developed here with the authors’ crack propagation prediction method in another previous paper lead to an interpretation of fatigue mechanism.
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Husain, Syed Zahid, and Claude Girard. "Impact of Consistent Semi-Lagrangian Trajectory Calculations on Numerical Weather Prediction Performance." Monthly Weather Review 145, no. 10 (October 2017): 4127–50. http://dx.doi.org/10.1175/mwr-d-17-0138.1.

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Inconsistencies may arise in numerical weather prediction models—that are based on semi-Lagrangian advection—when the governing dynamical and the kinematic trajectory equations are discretized in a dissimilar manner. This study presents consistent trajectory calculation approaches, both in the presence and absence of off-centering in the discretized dynamical equations. Both uniform and differential off-centering in the discretized dynamical equations have been considered. The proposed consistent trajectory calculations are evaluated using numerical experiments involving a nonhydrostatic two-dimensional theoretical mountain case and hydrostatic global forecasts. The experiments are carried out using the Global Environmental Multiscale model. Both the choice of the averaging method for approximating the velocity integral in the discretized trajectory equations and the interpolation scheme for calculating the departure positions are found to be important for consistent trajectory calculations. Results from the numerical experiments confirm that the proposed consistent trajectory calculation approaches not only improve numerical consistency, but also improve forecast accuracy.
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Zeng, Lin Suo, and Zhong Lei Chen. "Study on Application of Improved Predictive Current Method in STATCOM." Advanced Materials Research 433-440 (January 2012): 6089–95. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.6089.

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Predictive current method as a control strategy of the STATCOM is more and more applied to practical production. The traditional predictive current method can only predict the reactive current in the broad sense, and not detailed to predict for any harmonic; and the delay caused by sampling, analysis and calculation, prediction do not led to a good predictor for control requirements during the traditional prediction. In this paper, the above issues are appropriately improved. And the simulation results verify its operability.
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Ani R, Anand P S, Sreenath B, and Deepa O S. "In Silico Prediction Tool for Drug-likeness of Compounds based on Ligand Based Screening." International Journal of Research in Pharmaceutical Sciences 11, no. 4 (October 6, 2020): 6273–81. http://dx.doi.org/10.26452/ijrps.v11i4.3310.

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Drug Likeness prediction is a time-consuming and tedious process. An in-vitro method the drug development takes a long time to come to market. The failure rate is also another one to think about in this method. There are many in-silico methods currently available and developing to help the drug discovery and development process. Many online tools are available for predicting and classifying a drug after analyzing the drug-likeness properties of compounds. But most tools have their advantages and disadvantages. In this study, a tool is developed to predict the drug-likeness of compounds given as input to this software. This may help the chemists in analyzing a compound before actually preparing a compound for the drug discovery process. The tool includes both descriptor-based calculation and fingerprint-based calculation of the particular compounds. The descriptor-calculation also includes a set of rules and filters like Lipinski’s rule, Ghose filter, Veber filter and BBB likeness. The previous studies proved that the fingerprint-based prediction is more accurate than descriptor-based prediction. So, in the current study, the drug-likeness prediction tool incorporated the molecular descriptors and fingerprint-based calculations based on five different fingerprint types. The current study incorporated five different machine learning algorithms for prediction of drug-likeness and selected the algorithm, which has a high accuracy rate. When a chemist inputs a particular compound in SMILES format, the drug-likeness prediction tool predicts whether the given candidate compound is drug or non-drug.
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Kern, C., K. Kortüm, M. Müller, A. Kampik, S. Priglinger, and W. J. Mayer. "Comparison of Two Toric IOL Calculation Methods." Journal of Ophthalmology 2018 (2018): 1–9. http://dx.doi.org/10.1155/2018/2840246.

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Purpose. To compare two calculators for toric intraocular lens (IOL) calculation and to evaluate the prediction of refractive outcome. Methods. Sixty-four eyes of forty-five patients underwent cataract surgery followed by implantation of a toric intraocular lens (Zeiss Torbi 709 M) calculated by a standard industry calculator using front keratometry values. Prediction error, median absolute error, and refractive astigmatism error were evaluated for the standard calculator. The predicted postoperative refraction and toric lens power values were evaluated and compared after postoperative recalculation using the Barrett calculator. Results. We observed a significant undercorrection in the spherical equivalent (0.19 D) by using a standard calculator (p≤0.05). According to the Baylor nomogram and the refractive influence of posterior corneal astigmatism (PCA), undercorrection of the cylinder was lower for patients with WTR astigmatism, because of the tendency of overcorrection. An advantage of less residual postoperative SE, sphere, and cylinder for the Barrett calculator was observed when retrospectively comparing the calculated predicted postoperative refraction between calculators (p≤0.01). Conclusion. Consideration of only corneal front keratometric values for toric lens calculation may lead to postoperative undercorrection of astigmatism. The prediction of postoperative refractive outcome can be improved by using appropriate methods of adjustment in order to take PCA into account.
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Muhadzdzab, Humam, Marsani Asfi, and Tiara Eka Putri. "Sistem Prediksi untuk Menentukan Jumlah Pendaftaran Mahasiswa Baru pada Unversitas Catur Insan Cendekia Menggunakan Metode Least Square." Jurnal Informatika Universitas Pamulang 5, no. 3 (September 30, 2020): 350. http://dx.doi.org/10.32493/informatika.v5i3.6598.

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The prediction system for determining the number of prospective new students aims to make decisions and prioritize how many new students will be accepted and as a means of enthusiasts for the most study program trends each year, in making a prediction system, a method for good calculations is needed, so it is necessary method for the prediction system. This prediction system uses the Least Square method for the calculation of prediction results for system design carried out with an object-oriented approach using UML. The computer-based system built is web-based using the programming languages PHP and MySQL. From this research, the Least Sqaure method can be implemented to calculate predictions to determine the number of prospective new student registrations and to help the secretariat staff in the admissions section to find out the most interest in the study program each year.
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Yanto, Musli, Sigit Sanjaya, Yulasmi Yulasmi, Dodi Guswandi, and Syafri Arlis. "Implementation multiple linear regresion in neural network predict gold price." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (June 1, 2021): 1635. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1635-1642.

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<p>The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.</p>
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Bi, Gui Quan. "Prediction of Ground Settlement Based on Immune Genetic Algorithm." Applied Mechanics and Materials 155-156 (February 2012): 1056–60. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.1056.

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It is very important to predict ground settlement and provide effective dada for construction on soft soil foundation. There are several prediction methods.However, back analysis method is identified as the most effective method in all these methods. The most primarily used method in back analysis methods is optimization algorithm. In this paper, to realize accurate prediction and calculation of soft soil foundation settlement, an improved immune genetic algorithm is presented by introducing immune mechanism to genetic algorithm. A example was given and illustrated that this algorithm can greatly improve calculation speed and accuracy in predicting soft soil foundation settlement.
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Hearn, G. E., K. C. Tong, and S. M. Lau. "Sensitivity of Wave Drift Damping Coefficient Predictions to the Hydrodynamic Analysis Models Used in the Added Resistance Gradient Method." Journal of Offshore Mechanics and Arctic Engineering 110, no. 4 (November 1, 1988): 337–47. http://dx.doi.org/10.1115/1.3257071.

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This paper is concerned with the formulation and simplifications of the general fluid structure interaction analysis for an advancing oscillating vessel in waves to provide alternative 3D hydrodynamic models to determine first and second-order wave-induced fluid loadings, and, hence, the prediction of low-frequency wave damping coefficients. Heuristic arguments which lead to the Added Resistance Gradient (ARG) method of calculating low-frequency damping coefficients together with two 3D-based calculation procedures are presented. Predictions of added resistance and motion responses are compared with other published data. The intermediate hydrodynamic coefficient predictions based on 2D and 3D hydrodynamic models are compared. Low-frequency damping coefficient predictions based on the two proposed 3D calculation procedures are compared with experimental measurements and earlier published generalized strip theory values. Assessment of the applicability of the procedures, the result of their application, and further possible generalizations of the methods are discussed.
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Dissertations / Theses on the topic "Calculation prediction"

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Forbes, Graeme Alexander. "The practical application of an enhanced conveyance calculation in flood prediction." Thesis, University of Glasgow, 2000. http://theses.gla.ac.uk/3319/.

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An enhanced one-dimensional mathematical model for simulating flood levels and calculating stage-discharge relationships is presented. Enhanced conveyance subroutines have been developed and incorporated into the commercially available river modelling software ISIS. The newly developed software has been verified using experimental and field data. When a river overtops its banks there is a vigorous interaction between slow moving flood plain flow and faster moving main channel flow. This interaction mechanism has been the focus of intense research over the past forty years. A selective review of this research is detailed with particular attention to the case of meandering channels. The Ackers Method and the James and Wark Method are two discharge capacity methods that have emanated from this recent research and are considered to be the most practically suitable methods and are indeed recommended by the Environment Agency of England and Wales. The methods account for interaction effects when flow is overbank in a straight and meandering channel respectively. It is these methods that have been incorporated into the commercially available and industry leading one-dimensional river model ISIS to enable an enhanced conveyance calculation. The newly developed software has been tested against the Flood Channel Facility Series A and B experiments to a satisfactory level of accuracy. The testing included predicted of stage discharge relationships and water level prediction. In addition it has been applied to the River Dane in Cheshire which is highly meandering and suited to the James and Wark methodology. This was intended to give practical advice concerning the use of the James and Wark Method and the degree of accuracy in estimating the 'channel parameters' which are required by this method. The results of this work showed that a significant rise in water level prediction is obtained when using the enhanced code. Also, it was clear that a high degree of accuracy was not required in estimating the 'channel parameters' with the possible exception of the sinuosity term.
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Locuniak, Maria N. "Early predictors of calculation fluency in second grade." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 177 p, 2010. http://proquest.umi.com/pqdweb?did=1992513281&sid=6&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Soufflet, Yves. "Improvement of runback water film calculation and its impact on ice prediction." Thesis, Cranfield University, 2008. http://hdl.handle.net/1826/3786.

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Over the past few decades, aircraft icing has been the subject of numerous studies. Ice accretion on an aircraft can damage its aerodynamic performance. It can also have a devastating affect on structures such as high voltage pylons. The simulation of ice accretion represents an important technological breakthrough in the understanding of ice behaviour as well as an alternative to expensive experiments. Although numerical models will probably never replace wind tunnel experiments, they continuously progress and benefit from the latest advances in computing techniques. ICECREMO2 is a new generation model and uses an unstructured grid approach. Unstructured meshes offer real advantages in the generation of complex grid structures but also provide support for grid adaptivity. Adaptivity consists in improving the resolution only in some aspects of the solution. It offers the benefits of the high resolution without the computational overhead of classical structured methods. Adaptive methods are usually more difficult to implement and the application to the equation coupling water film and ice growth has never been investigated before this work. The mathematical model used in ICECREMO describes both the water film flow and the ice growth. This allows us to better predict glaze ice accretion when a runback water film is present. The equation describing the thin film water flow is a complex non-linear fourth-order degenerate partial differential equation. To resolve complex features such as a moving front, high resolution numerical methods are necessary. Such a numerical scheme has been developed for this equation in a previous study on structured grid, and has proven to be reliable. In this work Sweby's scheme has been reformulated in a finite volume framework, an error estimator has been de ned for our adaptive mesh refinement method and a grid refinement strategy has been implemented which follows the water film front and keeps it under high resolution. Finally, the impact of the improved resolution of the water film on the glaze ice growth is investigated. Results obtained with first-order and high resolution methods have been compared on different model problems under various conditions. At the end an extension of the refinement strategy is proposed by defining error estimators with respect to the ice layer and by combining it with a multi-step procedure.
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Hescock, Joshua. "CALCULATION OF THE EDGE EFFECT OFFSET FOR HIGH EXTRACTION COAL PANELS." UKnowledge, 2017. http://uknowledge.uky.edu/mng_etds/36.

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The Surface Deformation Prediction System (SDPS) program has been developed as an engineering tool for the prediction of subsidence deformation indices through the implementation of an influence function. SDPS provides reliable predictions of mining induced surface displacements, strains, and tilt for varying surface topography. One of the key aspects in obtaining reliable ground deformation prediction is the determination of the edge effect offset. The value assigned to the edge effect corresponds to a virtual offsetting of boundary lines delineating the extracted panel to allow for roof cantilevering over the mined out area. The objective of this thesis is to describe the methods implemented in updating the edge effect offset algorithm within SDPS. Using known geometric equations, the newly developed algorithm provides a more robust calculation of the offset boundary line of the extracted panel for simplistic and complex mining geometries. Assuming that an extracted panel is represented by a closed polyline, the new edge offset algorithm calculates a polyline offset into the extracted panel by the user defined edge effect offset distance. Surface deformations are then calculated using this adjusted panel geometry. The MATLAB® program was utilized for development and testing of the new edge effect offset feature.
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Aikio, Englund Rebecca. "A study of calculation models for fatigue life prediction : A thesis accomplished together with GKN Aerospace." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-67741.

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GKN Aerospace in Trollhättan don’t use the latest ANSYS version and need to upgrade their life analysis models. The aim with this thesis is to do a study of the new models and investigate the times required for the calculations. A flight mission were chosen and this mission together with different life analysis models were run in the GKN in house program Life Analysis System. The results were analyzed and depending on the results additional runs were made or the problem were sent to the life management group at GKN Aerospace. Strain levels versus time were also plotted for the runs with the new models to get a perception where any problems occurs. The results from the model 4.10.149 had no variations between equal runs for the high pressure turbine and the low pressure turbine but there was a variation between the results when equal runs was made with the high pressure compressor. The results from model 4.10.157 and 4.10.124 and 4.10.160 and 4.10.173 had variations in the fatigue life for equal runs. The variations can depend on that the calculations converges to different solutions, the reason for this can depend on the non-linear contact elements. The variation in the results between equal runs occurs when the model uses two or more cores. The time required for the calculation becomes faster with the use of more cores. The longest duration had model 4.10.173 because of the many requirements for the calculations in this model. The problem with the variation in the results is sent to ANSYS.
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Lv, Duchao. "A Multi-Scale Simulation Approach to Deformation Mechanism Prediction in Superalloys." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469009668.

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Shi, Jingming. "Ab initio prediction of crystalline phases and their electronic properties : from ambient to extreme pressures." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSE1110/document.

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Dans cette thèse nous utilisons des méthodes globaux de prédiction des structures cristallographiques combinés à des techniques de grande capacité de traitement de données afin de prédire la structure cristalline de différents systèmes et dans des conditions thermodynamiques variées. Nous avons réalisé des prédictions structurales utilisant l'analyse cristalline par optimisation par essaims particuliers (CALYPSO) combinés avec la Théorie Fonctionnel de la Densité (DFT) ce qui a permis de mettre en évidence la stabilité de plusieurs composés jusqu'à la inconnus dans le digramme de phases du système Ba-Si et dans le système N-H-O. Nous avons également réalisé une étude à haute capacité de traitement de données sur un système ternaire de composition ABX2. Nous avons utilisé la Théorie Fonctionnel de la Densité combinant calculs de prototypes structuraux à partir des prédictions structurelles avec la méthode. Dans les paragraphes suivants nous résumons le contenu de différents chapitres de cette thèse. Le premier chapitre qui constitue une brève introduction au travail de cette thèse est suivi du chapitre 2 présentant les aspects théoriques utilisés dans ce travail. D'abord il est fait une brève introduction à la Théorie Fonctionnel de la Densité. A continuation nous décrivons quelques fonctions d'échange-corrélation choisies qui constituent des approximations rendant l'utilisation de la DFT efficace. Ensuite nous présentons différents procédés de prédiction structurale, et en particulier les algorithmes d'optimisation par essaims particuliers et de « Minima Hopping » qeu nous avons utilisés dans cette thèse. Finalement il est discuté comment doit-on se prendre pour évaluer la stabilité thermodynamique des nouvelles phases identifiées. Dans le chapitre 3, nous considérons le système Ba-Si. A travers l'utilisation d'une recherche structurale non-biaisée basée sur l'algorithme d'optimisation par essaims particuliers combinée avec des calculs DFT, nous faisons une étude systématique de la stabilité des phases et de la diversité structurale du système binaire Ba-Si sous haute pression. Le diagramme de phases résultant est assez complexe avec plusieurs compositions se stabilisant et se déstabilisant en fonction de la pression. En particulier, nous avons identifié des nouvelles phases de stœchiométrie BaSi, BaSi2, BaSi3 et BaSi5 qui devraient pouvoir être synthétisées expérimentalement dans un domaine de pressions étendu. Dans le chapitre 4 est présentée notre étude du diagramme de phases du système N-H-O. S'appuyant sur une recherche structural «évolutive » de type ab initio, nous prédisons deux nouvelles phases du système ternaire N-H-O qui sont NOH4 et HNO3 à de pressions allant jusqu'à 150 GPa. La nouvelle phase de NOH4 est stable entre 71 et 150 GPa, tandis que HNO3 est stable entre 39 et 150 GPa (la pression maximum de cette étude). Ces deux nouvelles phases sont lamellaires. Nous confirmons également que la composition NOH5 perd son stabilité pour des pressions supérieures à 122 GPa se décomposant en NH3 et H2O à cette pression. Le chapitre 5 se focalise sur les électrodes transparentes de type-p à base des chalcogénures ternaires. Nous utilisons une approche à grande capacité de traitement de données basée sur la DFT pour obtenir la delafossite et d'autres phases voisines de composition ABX2. Nous trouvons 79 systèmes qui sont absents de la base de données « Materials project database », qui sont stables du point de vue thermodynamique et qui cristallisent soit dans la structure delafossite, soit dans des structures très proches. Cette caractérisation révèle une grande diversité de propriétés allant depuis les métaux ordinaires aux métaux magnétiques et permettant d'identifier quelques candidats pour des électrodes transparents de type-p. Nous présentons enfin à la fin du manuscrit nos conclusions générales et les perspectives de ce travail
In this thesis we use global structural prediction methods (Particle Swarm Optimization and Minima Hopping Method) and high-throughput techniques to predict crystal structures of different systems under different conditions. We performed structural prediction by using the Crystal structure Analysis by Particle Swarm Optimization (CALYPSO) combined with Density Functional Theory (DFT) that made possible to unveil several stable compounds, so far unknown, on the phase diagrams of Ba-Si systerm and N-H-O system. Afterwards, we performed a high-throughput investigation on ternary compounds of composition ABX2, where A and B are elements of the periodic table up to Bi, and X is a chalcogen (O, S, Se, and Te) by using density functional theory and combining calculations of crystal prototypes with structural prediction (Minima Hopping Method). The following paragraphs summarize the content by chapter of this document. Chapter 1 is a short introduction of this thesis. Chapter 2 consists of the basic theory used in this thesis. Firstly, a short introduction of Density Function Theory (DFT) is presented. Then, we describe some approximate exchange- correlation functions that make DFT practical. Next, we introduce different structural prediction algorithms, especially Particle Swarm Optimization and Minima Hopping Method which we used in this thesis. Finally, we discuss the thermodynamic stablility criteria for a new a new structure. In Chapter 3, we first consider Ba–Si system. Using an unbiased structural search based on a particle-swarm optimization algorithm combined with DFT calculations, we investigate systematically the ground-state phase stability and structural diversity of Ba–Si binaries under high pressure. The phase diagram turns out to be quite intricate, with several compositions stabilizing/destabilizing as a function of pressure. In particular, we identify novel phases of BaSi, BaSi2, BaSi3, and BaSi5 that might be synthesizable experimentally over a wide range of pressures. Chapter 4 contains the investigation of the phases diagram of the N–H–O system. By using ab initio evolutionary structural search, we report the prediction of two novel phases of the N–H–O ternary system, namely NOH4 and HNO3 (nitric acid) at pressure up to 150 GPa. Our calculations show that the new C2/m phase of NOH4 is stable under a large range of pressure from 71 GPa to 150 GPa while the P21/m phase of HNO3 (nitric acid) is stable from 39 GPa to 150 GPa (the maximum pressure which we have studied). We also confirmed that the composition NOH5 (NH3H2O) becomes unstable for pressures above 122 GPa. It decomposes into NH3 and H2O at this pressure. Chapter 5 focuses on p-type transparent electrodes of ternary chalcogenides. We use a high-throughput approach based on DFT to find delafossite and related layered phases of composition ABX2, where A and B are elements of the periodic table, and X is a chalcogen (O, S, Se, and Te). From the 15 624 compounds studied in the trigonal delafossite prototype structure, 285 are within 50 meV/atom from the convex hull of stability. These compounds are further investigated using global structural prediction methods to obtain their lowest- energy crystal structure. We find 79 systems not present in the "Materials project database" that are thermodynamically stable and crystallize in the delafossite or in closely related structures. These novel phases are then characterized by calculating their band gaps and hole effective masses. This characterization unveils a large diversity of properties, ranging from normal metals, magnetic metals, and some candidate compounds for p-type transparent electrodes. At the end of the thesis, we give our general conclusion and an outlook
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Mylona, Eugenia. "From global to local spatial models for improving prediction of urinary toxicity following prostate cancer radiotherapy." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S109.

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La radiothérapie externe est un traitement locorégional du cancer. L’objectif de la radiothérapie impose un compromis entre la délivrance d’une dose maximale dans la tumeur afin d’augmenter le contrôle local et la curabilité, et d’une dose minimale aux organes sains afin de limiter la toxicité. Les symptômes urinaires peuvent être liés à l’irradiation de régions spécifiques de la vessie ou de l'urètre. Dans ce cas, la dose reçue par l'ensemble de la vessie peut ne pas suffire à expliquer la toxicité urinaire. Dans le contexte du traitement du cancer de la prostate par radiothérapie, ce travail de thèse vise à analyser les corrélations spatiales entre la dose et les effets secondaires, cette problématique étant abordée dans un cadre d'analyse de population. Pour évaluer la contribution de l'urètre à la toxicité urinaire, nous proposons une méthode de segmentation basée sur plusieurs atlas pour identifier avec précision cette structure sur les images CT. Nous utilisons ensuite deux méthodes pour analyser la distribution de dose spatiale. L'une basée sur la construction de cartes 2D dose-surface (DSM) couplée à des comparaisons pixel par pixel et l'autre basée sur des cartes 3D dose-volume (DVM) combinées à des comparaisons par voxel. Les sous-régions identifiées ont été validées dans des populations externes, ouvrant la perspective d'une planification de traitement spécifique du patient. Nous étudions également le potentiel d'une amélioration complémentaire de la prédiction en exploitant de méthodes d'apprentissage automatique
External beam radiotherapy (EBRT) is a clinical standard for treating prostate cancer. The objective of EBRT is to deliver a high radiation dose to the tumor to maximize the probability of local control while sparing the neighboring organs (mainly the rectum and the bladder) in order to minimize the risk of complications. Developing reliable predictive models of genitourinary (GU) toxicity is of paramount importance to prevent radiation-induced side-effects, and improve treatment reliability. Urinary symptoms may be linked to the irradiation of specific regions of the bladder or the urethra, in which case the dose received by the entire bladder may not be sufficient to explain GU toxicity. Going beyond the global, whole-organ-based models towards more local, sub-organ approaches, this thesis aims to improve our understanding of radiation-induced urinary side-effects and ameliorate the prediction of urinary toxicity following prostate cancer radiotherapy. With the objective to assess the contribution of urethra damage to urinary toxicity, we propose a multi-atlas-based segmentation method to accurately identify this structure on CT images. The second objective is to identify specific symptom-related subregions in the bladder and the urethra predictive of different urinary symptoms. For this purpose, we propose two methodologies for analyzing the spatial dose distribution; one based on the construction of 2D dose-surface maps (DSM) coupled with pixel wise comparisons and another based on 3D dosevolume maps (DVMs) combined with voxel-wise comparisons. Identified subregions are validated in external populations, opening the perspective for patient specific treatment planning. We also implement and compare different machine learning strategies and data augmentation techniques, paving the way to further improve urinary toxicity prediction. We open the perspective of patient-specific treatment planning with reduced risk of complications
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Tiltu, Klintborg Anna. "BCR-ABL1A TYROSINE KINASE ASSOCIATED WITH CHRONIC MYELOID LEUKEMIA : Calculation of solvation energiesand electrostatics by APBS and prediction of 2D and 3D structureby homology protein modeling." Thesis, Umeå universitet, Institutionen för integrativ medicinsk biologi (IMB), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-182126.

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Svensson, Markus. "Modeling Pavement Performance based on Data from the Swedish LTPP Database : Predicting Cracking and Rutting." Licentiate thesis, KTH, Väg- och banteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119863.

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The roads in our society are in a state of constant degradation. The reasons for this are many, and therefore constructed to have a certain lifetime before being reconstructed. To minimize the cost of maintaining the important transport road network high quality prediction models are needed. This report presents new models for flexible pavement structures for initiation and propagation of fatigue cracks in the bound layers and rutting for the whole structure. The models are based on observations from the Swedish Long Term Pavement Performance (LTPP) database. The intention is to use them for planning maintenance as part of a pavement management system (PMS). A statistical approach is used for the modeling, where both cracking and rutting are related to traffic data, climate conditions, and the subgrade characteristics as well as the pavement structure.

QC 20130325

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Books on the topic "Calculation prediction"

1

Atahan-Evrenk, Sule, and Alan Aspuru-Guzik, eds. Prediction and Calculation of Crystal Structures. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05774-3.

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Neerja, Taneja, ed. Planetary strengths: Calculation and application : a simple and easy approach to delineation and prediction. New Delhi: Sagar Publications, 2000.

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El-Fadeel, Salah Ibrahim Abd. A Mathematical Model for Calculating Non-Detection Probability of a Random Tour Target. Monterey, California: Naval Postgraduate School, 1985.

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Sentā, Ōarai Kōgaku. Optimization of Monte Carlo methods for calculational predictions of dosimetry measurements in "Joyo" MK-III core: [kenkyū hōkoku]. Tokai-mura, Naka-gun, Ibaraki, Japan: Japan Nuclear Cycle Development Institute, 2005.

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Scott, Robert C. A method of predicting quasi-steady aerodynamics for flutter analysis of high speed vehicles using steady CFD calculations. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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Brodersen, K. ECCES: A Model for Calculation of Environmental Consequences from Energy Systems Predicting Ion Concentrations and Acidification Effects in Terrestrial Ecosystems. Roskilde, Denmark: Riso National Laboratory, 1986.

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The growth spiral: The proven step-by-step method for calculating and predicting growth potential in your church. Nashville, Tenn: Broadman & Holman, 1993.

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Schmidt, James F. Off-design computer code for calculating the aerodynamic performance of axial-flow fans and compressors: User's manual. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Śyāʼi-kyi, Yus. Brjed tho gʼyaṅ tiʼi za ma tog: The authoritative treatise on the Chinese system of astrological and predictive calculations used in eastern Tibet. Rewalsar, Distt. Mandi, H.P: Zigar Drukpa Kargyud Institute, 1985.

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Prediction and Calculation of Crystal Structures: Methods and Applications. Springer, 2014.

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Book chapters on the topic "Calculation prediction"

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Gautam, Jyoti, Arushi Gupta, Kavya Gupta, and Mahima Tiwari. "Air Pollution Concentration Calculation and Prediction." In Advances in Intelligent Systems and Computing, 245–51. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2285-3_30.

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Mobbs, S. F. "Risk Calculation in Long Term Prediction." In Risk Analysis in Nuclear Waste Management, 161–74. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-1049-2_8.

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Batuca, Dan G., and Jan M. Jordaan. "Sediment distribution in reservoirs – Calculation and prediction." In Silting and Desilting of Reservoirs, 151–208. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003210993-6.

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Laurens, J. M., and I. Teasdale. "WOLFNET: A Standalone Calculation Program for Groundwater Flow Networks." In Water Pollution: Modelling, Measuring and Prediction, 91–97. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3694-5_6.

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Ivanov-Kholodny, G. S., and A. V. Mikhailov. "Calculation of the Regular Variations of the Mid-Latitude F2-Region." In The Prediction of Ionospheric Conditions, 95–123. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-5486-1_4.

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Guo, Chun. "Carbon Emission Prediction Method for Tunnel Construction." In Carbon Emission Calculation Methods for Highway Tunnel Construction, 55–80. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5308-7_3.

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Chen, Chao, De Qing Gan, and Zhong Jian Yang. "Threshold Calculation and Prediction Methods of Slope Deformation." In Lecture Notes in Electrical Engineering, 517–25. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4847-0_64.

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Ertl, Peter. "World Wide Web-Based Calculation of Substituent Parameters for QSAR Studies." In Molecular Modeling and Prediction of Bioactivity, 267–68. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4141-7_34.

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Gasteiger, Johann. "Empirical Methods for the Calculation of Physicochemical Data of Organic Compounds." In Physical Property Prediction in Organic Chemistry, 119–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-74140-1_11.

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Hotař, Vlastimil. "EEE Method: Improved Approach of Compass Dimension Calculation." In Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 343–51. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00542-3_35.

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Conference papers on the topic "Calculation prediction"

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Song, Qianqian, Tao Yang, Bo Zhang, and Sihui Hu. "A Community Influence Prediction Calculation Method based Link Similarity Community Influence Prediction Calculation Methodin Social Network." In 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering. Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/meic-14.2014.236.

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Lorenzo, Alfonso, David Oter, Sergio Cruceta, Juan F. Valtuena, Gerardo Gonzalez, and Carlos Mata. "Kill ratio calculation for in-line yield prediction." In Microelectronic Manufacturing Technologies, edited by Kostas Amberiadis, Gudrun Kissinger, Katsuya Okumura, Seshu Pabbisetty, and Larg H. Weiland. SPIE, 1999. http://dx.doi.org/10.1117/12.346923.

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Lee, Yu-Tai, William Blake, and Theodore Farabee. "Prediction of Wall Pressure Spectrum using a RANS Calculation." In 43rd AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-802.

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Prevost, John J., Kranthimanoj Nagothu, Mo Jamshidi, and Brian Kelley. "Optimal calculation overhead for energy efficient cloud workload prediction." In 2014 World Automation Congress (WAC). IEEE, 2014. http://dx.doi.org/10.1109/wac.2014.6936129.

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Luneva, Inna N., Sergei M. Obraztsov, and Alexander L. Shimkevich. "An implementation of prediction calculation using APL and Clipper." In the international conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/190271.190297.

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Feng Qiu, Wenquan Li, Qiufeng Xie, Peng Zhang, and Yueying Huo. "Calculation and prediction of energy consumption for highway transportation." In 7th Advanced Forum on Transportation of China (AFTC 2011). IET, 2011. http://dx.doi.org/10.1049/cp.2011.1409.

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Pan, Zhiyuan, Torgeir Kirkhorn Vada, and Arne Nestegård. "Efficient Calculation of Low Frequency Motions for Air-Gap Prediction." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77416.

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The importance of the low frequency motions to air-gap estimation is evaluated on a column-based unit by using a computer program based on the linear and second-order potential theory. First and second order upwells are combined statistically and examined for different short term sea state conditions. To be able to speed up the analysis process, the potential flow code used in this study had been optimized in efficiency by introducing the multithreaded computation for the iterations of second order analysis.
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Zhou, Kui, and Fangming Ruan. "HMM-ESD current calculation based on Adams prediction-calibration method." In 2017 IEEE 5th International Symposium on Electromagnetic Compatibility (EMC-Beijing). IEEE, 2017. http://dx.doi.org/10.1109/emc-b.2017.8260399.

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Tang, Zhangwen, Jie He, Hongyan Jian, Haiqing Zhang, Jie Zhang, and Hao Min. "Prediction of LC-VCOs' tuning curves with period calculation technique." In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1120725.1120994.

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Smirnov, V., A. Novocreschin, and A. Devyatka. "Acquisition Footprint Suppression on the Stage of Prediction Maps Calculation." In Tyumen 2013 - New Geotechnology for the Old Oil Provinces. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20142750.

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Reports on the topic "Calculation prediction"

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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg, and Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost per step. ROAM calculations of the JVX tiltrotor configuration give a comparably accurate download prediction to traditional body-fitted calculations with Helios, at 50X less computational cost. The unsteady wake in ROAM is not as well resolved, but wake interactions may be a less critical issue for many design considerations. The second capability discussed is the addition of six-degree-of-freedom capability to model store separation. Helios calculations of a generic wing/store/pylon case with the new 6-DOF capability are found to match identically to calculations with CREATE™-AV Kestrel, a code which has been extensively validated for store separation calculations over the past decade.
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Maenchen, John Eric, John O'Malley, Ronald Patrick Kensek, Wesley C. Fan, and Lance Bollinger. Radiation predictions and shielding calculations for RITS-6. Office of Scientific and Technical Information (OSTI), June 2005. http://dx.doi.org/10.2172/1204107.

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Luo Y. Simulation Calculations and Analytical Predictions of Eigenmode Projection Parameters. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/1061805.

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Tzanos, C. P. Predictions of RVACS Sensitivity to Wind Effects via COMMIX Calculations. Office of Scientific and Technical Information (OSTI), January 1993. http://dx.doi.org/10.2172/10197912.

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Azmy, Yousry, and Dan Cacuci. Accurate Holdup Calculations with Predictive Modeling & Data Integration. Office of Scientific and Technical Information (OSTI), April 2017. http://dx.doi.org/10.2172/1358186.

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Divgi, D. R. Calculating the Performance Gain due to Improved Predictive Validity. Fort Belvoir, VA: Defense Technical Information Center, April 1990. http://dx.doi.org/10.21236/ada230732.

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Mobley, Curtis D. Improved Ecosystem Predictions of the California Current System via Accurate Light Calculations. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada541056.

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Mobley, Curtis D. Improved Ecosystem Predictions of the California Current System via Accurate Light Calculations. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada557196.

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Brandl, Alexander. Comparison of three jet events to predictions from a next-to-leading order calculation. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/1369293.

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Ripley, Robert C., and Laura Donahue. Cylindrical Explosive Dispersal of Metal Particles: Predictive Calculations in SUpport of Experimental Trials. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada505351.

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