Academic literature on the topic 'Phase function'

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Journal articles on the topic "Phase function"

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Lieth, J. H., P. R. Fisher, and R. D. Heins. "A Three-phase Model for the Analysis of Sigmoid Patterns of Growth." HortScience 30, no. 4 (July 1995): 761C—761. http://dx.doi.org/10.21273/hortsci.30.4.761c.

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A growth function was developed for describing the progression of shoot elongation over time. While existing functions, such as the logistic function or Richards function, can be fitted to most sigmoid data, we observed situations where distinct lag, linear, and saturation phases were observed but not well represented by these traditional functions. A function was developed that explicitly models three phases of growth as a curvilinear (exponential) phase, followed by a linear phase, and terminating in a saturation phase. This function was found to be as flexible as the Richards function and can be used for virtually any sigmoid data. The model behavior was an improvement over the Richards function in cases where distinct transitions between the three growth phases are evident. The model also lends itself well to simulation of growth using the differential equation approximation for the function.
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Pannu, Navraj S., Garib N. Murshudov, Eleanor J. Dodson, and Randy J. Read. "Incorporation of Prior Phase Information Strengthens Maximum-Likelihood Structure Refinement." Acta Crystallographica Section D Biological Crystallography 54, no. 6 (November 1, 1998): 1285–94. http://dx.doi.org/10.1107/s0907444998004119.

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The application of a maximum-likelihood analysis to the problem of structure refinement has led to striking improvements over the traditional least-squares methods. Since the method of maximum likelihood allows for a rational incorporation of other sources of information, we have derived a likelihood function that incorporates experimentally determined phase information. In a number of different test cases, this target function performs better than either a least-squares target or a maximum-likelihood function lacking prior phases. Furthermore, this target gives significantly better results compared with other functions incorporating phase information. When combined with a procedure to mask `unexplained' density, the phased likelihood target also makes it possible to refine very incomplete models.
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Ilchmann, Achim, and Fabian Wirth. "On Minimum Phase." at – Automatisierungstechnik 61, no. 12 (December 1, 2013): 805–17. http://dx.doi.org/10.1524/auto.2013.1002.

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Abstract We discuss the concept of `minimum phase' for scalar semi Hurwitz transfer functions. The latter are rational functions where the denominator polynomial has its roots in the closed left half complex plane. In the present note, minimum phase is defined in terms of the derivative of the argument function of the transfer function. The main tool to characterize minimum phase is the Hurwitz reflection. The factorization of a weakly stable transfer function into an all-pass and a minimum phase system leads to the result that any semi Hurwitz transfer function is minimum phase if, and only if, its numerator polynomial is semi Hurwitz. To characterize the zero dynamics, we use the Byrnes-Isidori form in the time domain and the internal loop form in the frequency domain. The uniqueness of both forms is shown. This is used to show in particular that asymptotic stable zero dynamics of a minimal realization of a transfer function yields minimum phase, but not vice versa.
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Gao, Huan, and Yongqiang Wang. "On Phase Response Function Based Decentralized Phase Desynchronization." IEEE Transactions on Signal Processing 65, no. 21 (November 1, 2017): 5564–77. http://dx.doi.org/10.1109/tsp.2017.2733452.

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Moya-Cessa, H. ctor. "A number–phase Wigner function." Journal of Optics B: Quantum and Semiclassical Optics 5, no. 3 (June 1, 2003): S339—S341. http://dx.doi.org/10.1088/1464-4266/5/3/367.

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Nicodemi, Mario, and Simona Bianco. "Chromosomes Phase Transition to Function." Biophysical Journal 119, no. 4 (August 2020): 724–25. http://dx.doi.org/10.1016/j.bpj.2020.07.008.

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Goyal, Manish, S. K. Dwivedi, and Ajit Singh Rajput. "Effects of different phases of menstrual cycle on lung functions in young girls of 18-24 years age." International Journal of Research in Medical Sciences 5, no. 2 (January 23, 2017): 612. http://dx.doi.org/10.18203/2320-6012.ijrms20170161.

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Background: The dynamic cyclical changes in the levels of various hormones during different phases of menstrual cycle are known to affect functioning of different systems of the body, including the respiratory system. Objective of the study was to study the effects of different phases of menstrual cycle on lung functions in young girls of 18-24 years age.Methods: 78 girls who were medical students of G.R. Medical College, Gwalior, India were chosen for the study. Their lung function parameters were recorded on Spiro Excel, a computerized spirometer. Four lung function parameters i.e. FVC, FEV1, FEV1/FVC% and PEFR were recorded in the different phases of menstrual cycle i.e. menstrual phase, proliferative phase and secretory phase.Results: All lung function parameters except FEV1/FVC% were least in menstrual phase and highest in secretory phase with in between values in proliferative phase. The values were significantly different among the three phases. FEV1/FVC% values were maximum in menstrual phase, lowest in secretory phase with intermediate values in proliferative phase but the values were not significantly different among the three phases. Mean values of FVC, FEV1 and PEFR were higher in all the phases of menstrual cycle in normal BMI subjects as compared to the corresponding phases of underweight subjects.Conclusions: Higher values of lung functions during proliferative and secretory phases can be attributed to the higher concentrations of sex hormones specially progesterone because in most of the studies progesterone is known to cause relaxation of bronchial smooth muscle.
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Crosbie, A. L., and G. W. Davidson. "Dirac-delta function approximations to the scattering phase function." Journal of Quantitative Spectroscopy and Radiative Transfer 33, no. 4 (April 1985): 391–409. http://dx.doi.org/10.1016/0022-4073(85)90200-6.

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Logan, David, Yuri P. Ivanenko, Tim Kiemel, Germana Cappellini, Francesca Sylos-Labini, Francesco Lacquaniti, and John J. Jeka. "Function dictates the phase dependence of vision during human locomotion." Journal of Neurophysiology 112, no. 1 (July 1, 2014): 165–80. http://dx.doi.org/10.1152/jn.01062.2012.

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In human and animal locomotion, sensory input is thought to be processed in a phase-dependent manner. Here we use full-field transient visual scene motion toward or away from subjects walking on a treadmill. Perturbations were presented at three phases of walking to test 1) whether phase dependence is observed for visual input and 2) whether the nature of phase dependence differs across body segments. Results demonstrated that trunk responses to approaching perturbations were only weakly phase dependent and instead depended primarily on the delay from the perturbation. Recording of kinematic and muscle responses from both right and left lower limb allowed the analysis of six distinct phases of perturbation effects. In contrast to the trunk, leg responses were strongly phase dependent. Leg responses during the same gait cycle as the perturbation exhibited gating, occurring only when perturbations were applied in midstance. In contrast, during the postperturbation gait cycle, leg responses occurred at similar response phases of the gait cycle over a range of perturbation phases. These distinct responses reflect modulation of trunk orientation for upright equilibrium and modulation of leg segments for both hazard accommodation/avoidance and positional maintenance on the treadmill. Overall, these results support the idea that the phase dependence of responses to visual scene motion is determined by different functional tasks during walking.
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Baes, Maarten, Peter Camps, and Anand Utsav Kapoor. "A new analytical scattering phase function for interstellar dust." Astronomy & Astrophysics 659 (March 2022): A149. http://dx.doi.org/10.1051/0004-6361/202142437.

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Context. Properly modelling scattering by interstellar dust grains requires a good characterisation of the scattering phase function. The Henyey-Greenstein phase function has become the standard for describing anisotropic scattering by dust grains, but it is a poor representation of the real scattering phase function outside the optical range. Aims. We investigate alternatives for the Henyey-Greenstein phase function that would allow the scattering properties of dust grains to be described. Our goal is to find a balance between realism and complexity: the scattering phase function should be flexible enough to provide an accurate fit to the scattering properties of dust grains over a wide wavelength range, and it should be simple enough to be easy to handle, especially in the context of radiative transfer calculations. Methods. We fit various analytical phase functions to the scattering phase function corresponding to the BARE-GR-S model, one of the most popular and commonly adopted models for interstellar dust. We weigh the accuracy of the fit against the number of free parameters in the analytical phase functions. Results. We confirm that the Henyey-Greenstein phase functions poorly describe scattering by dust grains, particularly at ultraviolet (UV) wavelengths, with relative differences of up to 50%. The Draine phase function alleviates this problem at near-infrared (NIR) wavelengths, but not in the UV. The two-term Reynolds-McCormick phase function, recently advocated in the context of light scattering in nanoscale materials and aquatic media, describes the BARE-GR-S data very well, but its five free parameters are degenerate. We propose a simpler phase function, the two-term ultraspherical-2 (TTU2) phase function, that also provides an excellent fit to the BARE-GR-S phase function over the entire UV-NIR wavelength range. This new phase function is characterised by three free parameters with a simple physical interpretation. We demonstrate that the TTU2 phase function is easily integrated in both the spherical harmonics and the Monte Carlo radiative transfer approaches, without a significant overhead or increased complexity. Conclusions. The new TTU2 phase function provides an ideal balance between being simple enough to be easily adopted and realistic enough to accurately describe scattering by dust grains. We advocate its application in astrophysical applications, in particular in dust radiative transfer calculations.
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Dissertations / Theses on the topic "Phase function"

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Rybka, Marcin. "Optical properties of MAX-phase materials." Thesis, Linköping University, Applied Optics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60008.

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MAX-phase materials are a new type of material class. These materials are potentiallyt echnologically important as they show unique physical properties due to the combination of metals and ceramics. In this project, spectroscopic ellipsometry in the spectral range of 0.06 eV –6.0 eV was used to probe the linear optical response of MAX-phases in terms of the complexd dielectric function ε(ω) = ε1(ω) + iε2(ω). Measured data were fit to theoretical models using the Lorentz and generalized oscillator models. Data from seven different samples of MAX-phase materials were obtained using two ellipsometers. Each sample dielectric function was determined, including their infrared spectrum.

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Wunder, Daniel P. "Aerosol scattering phase function retrieval from polar orbiting satellites." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FWunder.pdf.

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Agyo, Sanfo David. "Bi-fractional transforms in phase space." Thesis, University of Bradford, 2016. http://hdl.handle.net/10454/14522.

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The displacement operator is related to the displaced parity operator through a two dimensional Fourier transform. Both operators are important operators in phase space and the trace of both with respect to the density operator gives the Wigner functions (displaced parity operator) and Weyl functions (displacement operator). The generalisation of the parity-displacement operator relationship considered here is called the bi-fractional displacement operator, O(α, β; θα, θβ). Additionally, the bi-fractional displacement operators lead to the novel concept of bi-fractional coherent states. The generalisation from Fourier transform to fractional Fourier transform can be applied to other phase space functions. The case of the Wigner-Weyl function is considered and a generalisation is given, which is called the bi-fractional Wigner functions, H(α, β; θα, θβ). Furthermore, the Q−function and P−function are also generalised to give the bi-fractional Q−functions and bi-fractional P−functions respectively. The generalisation is likewise applied to the Moyal star product and Berezin formalism for products of non-commutating operators. These are called the bi-fractional Moyal star product and bi-fractional Berezin formalism. Finally, analysis, applications and implications of these bi-fractional transforms to the Heisenberg uncertainty principle, photon statistics and future applications are discussed.
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Agyo, Sanfo D. "Bi-fractional transforms in phase space." Thesis, University of Bradford, 2016. http://hdl.handle.net/10454/14522.

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The displacement operator is related to the displaced parity operator through a two dimensional Fourier transform. Both operators are important operators in phase space and the trace of both with respect to the density operator gives the Wigner functions (displaced parity operator) and Weyl functions (displacement operator). The generalisation of the parity-displacement operator relationship considered here is called the bi-fractional displacement operator, O(α, β; θα, θβ). Additionally, the bi-fractional displacement operators lead to the novel concept of bi-fractional coherent states. The generalisation from Fourier transform to fractional Fourier transform can be applied to other phase space functions. The case of the Wigner-Weyl function is considered and a generalisation is given, which is called the bi-fractional Wigner functions, H(α, β; θα, θβ). Furthermore, the Q−function and P−function are also generalised to give the bi-fractional Q−functions and bi-fractional P−functions respectively. The generalisation is likewise applied to the Moyal star product and Berezin formalism for products of non-commutating operators. These are called the bi-fractional Moyal star product and bi-fractional Berezin formalism. Finally, analysis, applications and implications of these bi-fractional transforms to the Heisenberg uncertainty principle, photon statistics and future applications are discussed.
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Can, Geylani. "S-phase checkpoint activity and function throughout the cell cycle." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/268506.

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DNA damage or replication stress during S-phase can activate the S-phase checkpoint which executes a variety of responses, such as the inhibition of origin firing and replication fork stabilisation. Deregulation of the S-phase checkpoint leads to genomic instability, which has been implicated in diseases such as cancer. In this thesis, I aimed to address whether the S-phase checkpoint is regulated outside of S-phase, and how the S-phase checkpoint targets its substrates in budding yeast. Although this checkpoint has thus far been associated exclusively with S-phase, it remains unknown whether its responses such as inhibition of origin firing can also occur in other phases of the cell cycle. To investigate this, the targets of the S-phase checkpoint for the inhibition of origin firing were analysed outside of S-phase upon DNA damage. Interestingly, I showed that the S-phase checkpoint effector kinase Rad53 phosphorylates its targets to inhibit origin firing outside of S-phase upon DNA damage when there is no replication. I then set out to test whether inhibition of origin firing by Rad53 outside of S-phase might be important for faithful DNA replication. Having shown that the checkpoint response is not specific for any cell cycle phases, I then tested how the specificity of Rad53 for its substrates might be determined. After demonstrating that the essential replication protein Cdc45 is required for Rad53 to phosphorylate the initiation factor Sld3, the key residues of Cdc45 necessary for Rad53 interaction were identified. A Cdc45 allele was produced by mutating the identified residues. This allele of Cdc45 is a separation-of-function mutant which prevents Sld3 phosphorylation upon DNA damage, but retains its function in DNA replication. Because Cdc45 travels with the replication fork, it is possible that Cdc45 also targets Rad53 to the replication fork to stabilise it upon replication stress. Overall, this thesis provides evidence that the S-phase checkpoint can function throughout the cell cycle and that Cdc45 targets Rad53 to some of its substrates, and possibly plays a role in replication fork stabilisation.
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Haraldsson, Henrik. "Assessment of Myocardial Function using Phase Based Motion Sensitive MRI." Doctoral thesis, Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60027.

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Quantitative assessment of myocardial function is a valuable tool for clinical applications and physiological studies. This assessment can be acquired using phase based motion sensitive magnetic resonance imaging (MRI) techniques. In this thesis, the accuracy of these phase based motion sensitive MRI techniques is investigated, and modifications in acquisition and post-processing are proposed. The strain rate of the myocardium can be used to evaluate the myocardial function. However, the estimation of strain rate from the velocity data acquired with phase-contrast MRI (PC-MRI) is sensitive to noise. Estimation using normalized convolution showed, however, to reduce this sensitivity to noise and to minimize the influence of non-myocardial tissue which could impair the result. Strain of the myocardium is another measure to assess myocardial function. Strain can be estimated from the myocardial displacement acquired with displacement encoding with stimulated echo (DENSE). DENSE acquisition can be realized with several different encoding strategies. The choice of encoding scheme may make the acquisition more or less sensitive to different sources of error. Two potential sources of errors in DENSE acquisition are the influence of the FID and of  the off-resonance effects. Their influence on DENSE were investigated to determine suitable encoding strategies to reduce their influence and thereby improve the measurement accuracy acquired. The quality of the DENSE measurement is not only dependent on the accuracy, but also the precision of the measurement. The precision is affected by the SNR and thereby depends on flip angle strategies, magnetic field strength and spatial variation of the receiver coil sensitivity. A mutual comparison of their influence on SNR in DENSE was therefore performed and could serve as a guideline to optimize parameters for specific applications. The acquisition time is often an important factor, especially in clinical applications where it affects potential patient discomfort and patient through-put. A multiple-slice DENSE acquisition was therefore presented, which allows the acquisition of strain values according to the 16-segment cardiac model within a single breath-hold, instead of the conventional three breath-holds. The DENSE technique can also be adapted toward comprehensive evaluation of the heart in the form of full three-dimensional three-directional acquisition of the displacement. To estimate the full strain tensor from these data, a novel post-processing technique using a polynomial was investigated. The method yielded accurate results on an analytical model and \textit{in-vivo} strains obtained agreed with previously reported myocardial strains in normal volunteers.
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Galanis, Andreas. "Phase transitions in the complexity of counting." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52211.

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A recent line of works established a remarkable connection for antiferromagnetic 2-spin systems, including the Ising and hard-core models, showing that the computational complexity of approximating the partition function for graphs with maximum degree \Delta undergoes a computational transition that coincides with the statistical physics uniqueness/non-uniqueness phase transition on the infinite \Delta-regular tree. Despite this clear picture for 2-spin systems, there is little known for multi-spin systems. We present the first analog of the above inapproximability results for multi-spin systems. The main difficulty in previous inapproximability results was analyzing the behavior of the model on random \Delta-regular bipartite graphs, which served as the gadget in the reduction. To this end one needs to understand the moments of the partition function. Our key contribution is connecting: (i) induced matrix norms, (ii) maxima of the expectation of the partition function, and (iii) attractive fixed points of the associated tree recursions (belief propagation). We thus obtain a generic analysis of the Gibbs distribution of any multi-spin system on random regular bipartite graphs. We also treat in depth the k-colorings and the q-state antiferromagnetic Potts models. Based on these findings, we prove that for \Delta constant and even k<\Delta, it is NP-hard to approximate within an exponential factor the number of k-colorings on triangle-free \Delta-regular graphs. We also prove an analogous statement for the antiferromagnetic Potts model. Our hardness results for these models complement the conjectured regime where the models are believed to have efficient approximation schemes. We systematize the approach to obtain a general theorem for the computational hardness of counting in antiferromagnetic spin systems, which we ultimately use to obtain the inapproximability results for the k-colorings and q-state antiferromagnetic Potts models, as well as (the previously known results for) antiferromagnetic 2-spin systems. The criterion captures in an appropriate way the statistical physics uniqueness phase transition on the tree.
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Konovalova, V. V., G. A. Pobigay, Y. M. Samchenko, A. F. Burban, and Z. R. Ulberg. "Nanocomposite Membranes with pH- and Thermo-sensitive Function." Thesis, Sumy State University, 2013. http://essuir.sumdu.edu.ua/handle/123456789/35333.

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Resent researches and development in the field of membrane science are focused on improvement of synthetic membranes’ functionality. Combination of soft polymer pH- and temperature-sensitive hydrogels with rigid ultrafiltration membrane attracts much interest as a new class of smart functional systems. In this research we develop pH- and temperature-sensitive composite membranes using radical copolymerization method and study their properties depending on hydrogel composition, nature of synthetic mem-branes, temperature and pH of external medium. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/35333
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Aouni, Jihane. "Utility-based optimization of phase II / phase III clinical development." Thesis, Montpellier, 2019. http://www.theses.fr/2019MONTS032/document.

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Le développement majeur de la thèse a été consacré au problème d’optimisation du choix de dose dans les essais de recherche de dose, en phase II. Nous avons considéré ce problème sous l’angle des fonctions d’utilité. Nous avons alloué une valeur d’utilité aux doses, le problème pour le sponsor étant de trouver la meilleure dose, c’est-à-dire celle dont l’utilité est la plus élevée.Dans ce travail, nous nous sommes limités à une seule fonction d’utilité, intégrant deux composantes: une composante liée à l’efficacité (la POS=puissance d’un essai de phase III de 1000 patients de cette dose contre placebo) et une autre liée à la safety. Pour cette dernière, nous avons choisi de la caractériser par la probabilité prédictive d’observer un taux de toxicité inférieur ou égal à un certain seuil (que nous avons fixé à 0.15) en phase III (toujours pour un essai de 1000 patients au total). Cette approche a l’avantage d’être similaire aux concepts utilisés dans les essais de phase I en oncologie qui ont notamment pour objectif la recherche de la dose liée à une toxicité limite (notion de ”Dose limiting Toxicity”).Nous avons retenu une approche bayésienne pour l’analyse des données de la phase II.Mis à part les avantages théoriques connus de l’approche bayésienne par rapport à l’approche fréquentiste (respect du principe de vraisemblance, dépendance moins grande aux résultats asymptotiques, robustesse), nous avons choisi l’approche bayésienne pour plusieurs raisons:• Combinant, par définition même de l’approche bayésienne, une information a priori avec les données disponibles, elle offre un cadre plus flexible la prise de décision du sponsor: lui permettant notamment d’intégrer de manière plus ou moins explicite les informations dont il dispose en dehors de l’essai de la phase II.• L’approche bayésienne autorise une plus grande flexibilité dans la formalisation des règles de décision.Nous avons étudié les propriétés des règles de décisions par simulation d’essais de phase II de différentes tailles: 250, 500 et 1000 patients. Pour ces deux derniers design nous avons aussi évalué l’intérêt de d’effectuer une analyse intermédiaire lorsque la moitié des patients a été enrôlée (c’est-à-dire avec respectivement les premiers 250 et 500 patients inclus). Le but était alors d’évaluer si, pour les essais de phase II de plus grande taille, s’autoriser la possibilité de choisir la dose au milieu de l’étude et de poursuivre l’étude jusqu’au bout si l’analyse intermédiaire n’est pas concluante permettait de réduire la taille de l’essai de phase II tout en préservant la pertinence du choix de dose final
The main development of the thesis was devoted to the problem of dose choice optimization in dose-finding trials, in phase II. We have considered this problem from the perspective of utility functions. We have allocated a utility value to the doses itself, knowing that the sponsor’s problem was now to find the best dose, that is to say, the one having the highest utility. We have limited ourselves to a single utility function, integrating two components: an efficacy-related component (the PoS = the power of a phase III trial - with 1000 patients - of this dose versus placebo) and a safety-related component. For the latter, we chose to characterize it by the predictive probability of observing a toxicity rate lower or equal to a given threshold (that we set to 0.15) in phase III (still for a trial of 1000 patients in total). This approach has the advantage of being similar to the concepts used in phase I trials in Oncology, which particularly aim to find the dose related to a limiting toxicity (notion of "Dose limiting Toxicity").We have adopted a Bayesian approach for the analysis of phase II data. Apart from the known theoretical advantages of the Bayesian approach compared with the frequentist approach (respect of the likelihood principle, less dependency on asymptotic results, robustness), we chose this approach for several reasons:• It provides a more flexible framework for the decision-making of the sponsor because it offers the possibility to combine (by definition of the Bayesian approach) a priori information with the available data: in particular, it offers the possibility to integrate, more or less explicitly, the information available outside the phase II trial.• The Bayesian approach allows greater flexibility in the formalization of the decision rules.We studied the properties of decision rules by simulating phase II trials of different sizes: 250, 500 and 1000 patients. For the last two designs (500 and 1000 patients in phase II), we have also evaluated the interest of performing an interim analysis when half of the patients are enrolled (i.e. with the first 250and the first 500 patients included respectively). The purpose was then to evaluate whether or not, for larger phase II trials, allowing the possibility of choosing the dose in the middle of the study and continuing the study to the end if the interim analysis is not conclusive, could reduce the size of the phase II trial while preserving the relevance of the final dose choice
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Engblom, Johan. "On the phase behaviour of lipids with respect to skin barrier function." Lund, Sweden : Dept. of Food Technology, Lund University, 1996. http://books.google.com/books?id=TdFqAAAAMAAJ.

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Books on the topic "Phase function"

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Fung, Amy D. A novel function of the S phase regulator Dfp1. Ottawa: National Library of Canada, 2002.

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Kim, Y. S., and W. W. Zachary, eds. The Physics of Phase Space Nonlinear Dynamics and Chaos Geometric Quantization, and Wigner Function. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/3-540-17894-5.

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Simon, M. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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Flamm, David S. Progress on H optimal sensitivity for delay systems. Part I: Minimum phase plant with input delay. l pole/zero weighting function. Cambridge, Mass: Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, 1985.

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Hurley, Graham Robert Bruce. The effect of development and function on muscle moment power during the recovery phase of running for girls 9 to 17 years. Sudbury, Ont: Laurentian University, 1987.

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Asano, David Ken. Phase smoothing functions for continuous phase modulation. Ottawa: National Library of Canada, 1990.

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S, Kim Y., and Zachary W. W. 1935-, eds. The physics of phase space: Nonlinear dynamics and chaos, geometric quantization, and Wigner function : proceedings of the First International Conference on the Physics of Phase Space, held at the University of Maryland, College Park, Maryland, May 20-23, 1986. Berlin: Springer-Verlag, 1987.

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Wegert, Elias. Visual Complex Functions: An Introduction with Phase Portraits. Basel: Springer Basel, 2012.

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Zhang, H. Unwrapping the phase response functions for nonlinear systems. Sheffield: University ofSheffield, Dept. of Automatic Control and Systems Engineering, 1992.

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Borovikov, V. A. Uniform stationary phase method. London: Institution of Electrical Engineers, 1994.

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Book chapters on the topic "Phase function"

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Selvam, K. C. "Phase Sensitive Detectors." In Analog Function Circuits, 409–21. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003221449-26.

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Nagayama, Kuniaki. "Phase Plate Electron Microscopy." In Supramolecular Structure and Function 10, 101–13. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0893-8_6.

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Kollmann, Wolfgang. "Phase and Test Function Spaces." In Navier-Stokes Turbulence, 93–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31869-7_5.

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de Beer, F. C., A. F. Strachan, and E. G. Shephard. "Structure, Metabolism and Function of Acute Phase High Density Lipoprotein." In Acute Phase Proteins in the Acute Phase Response, 137–50. London: Springer London, 1989. http://dx.doi.org/10.1007/978-1-4471-1739-1_11.

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Gaehtgens, P. "Microcirculatory Function in Pathophysiological Conditions." In Organfunktion und Stoffwechsel in der perioperativen Phase, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-70798-8_1.

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Yakubovich, Alexander V. "Partition Function of a Polypeptide." In Theory of Phase Transitions in Polypeptides and Proteins, 55–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22592-5_4.

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Quinn, Peter J., and Leonard J. Lis. "Phase Transition Behaviour of Monogalactosyldiacylglycerol." In The Metabolism, Structure, and Function of Plant Lipids, 181–83. Boston, MA: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4684-5263-1_30.

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Butkovskiy, Anatoliy G. "The Hamiltonian of CDS as a Support Function." In Phase Portraits of Control Dynamical Systems, 24–27. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3258-9_7.

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Dahl, Ronald. "Phase 3 Clinical Efficacy Studies: Lung Function." In Indacaterol, 93–106. Basel: Springer Basel, 2013. http://dx.doi.org/10.1007/978-3-0348-0709-8_6.

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Hogg, Anthony. "The Disco Phase: Saturday Night Fever." In The Development of Popular Music Function in Film, 123–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21458-6_5.

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Conference papers on the topic "Phase function"

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Subramanian, A. K., and V. M. Pandharipande. "Gaussian phase function for phased array beam shaping." In IEEE Antennas and Propagation Society International Symposium 1992 Digest. IEEE, 1992. http://dx.doi.org/10.1109/aps.1992.221905.

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Cordeiro, Christine E., Aleksandra K. Denisin, Jenny M. Vo-Phamhi, Alison K. Schroer, Elizabeth L. Pruitt, Oscar J. Abilez, and Olav Solgaard. "Analyzing the effects of engineering cardiomyocyte shape: quantitative phase imaging reveals differences in morphology and function (Conference Presentation)." In Quantitative Phase Imaging V, edited by Gabriel Popescu and YongKeun Park. SPIE, 2019. http://dx.doi.org/10.1117/12.2507720.

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Imamura, Yosuke, Hiroki Matsuno, and Daisuke Yokoyama. "Phase Probrem of Orbifolded Partition Function." In Proceedings of the International Symposium “Nanoscience and Quantum Physics 2012” (nanoPHYS’12). Journal of the Physical Society of Japan, 2015. http://dx.doi.org/10.7566/jpscp.4.013006.

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Kim, W., and M. H. Hayes. "Phase retrieval using a window function." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226464.

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Testorf, Markus. "Phase Recovery and the Ambiguity Function." In Signal Recovery and Synthesis. Washington, D.C.: OSA, 2005. http://dx.doi.org/10.1364/srs.2005.smc6.

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Banerjee, Chaity, Tathagata Mukherjee, and Eduardo Pasiliao. "The Multi-phase ReLU Activation Function." In ACM SE '20: 2020 ACM Southeast Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3374135.3385313.

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Fournier, Georges R., and J. Luc Forand. "Analytic phase function for ocean water." In Ocean Optics XII, edited by Jules S. Jaffe. SPIE, 1994. http://dx.doi.org/10.1117/12.190063.

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Qin, Wei, and Noboru Ito. "Phase-equalization-system (PES) design utilizing new phase-error function." In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE). IEEE, 2014. http://dx.doi.org/10.1109/isie.2014.6864753.

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Chu, Jiyoung, Quandou Wang, John P. Lehan, Guangjun Gao, and Ulf Griesmann. "Measuring the phase transfer function of a phase-shifting interferometer." In Optical Engineering + Applications, edited by Erik L. Novak, Wolfgang Osten, and Christophe Gorecki. SPIE, 2008. http://dx.doi.org/10.1117/12.795243.

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Sumi, Norikatsu, Koosuke Hattori, Ryo Taguchi, Masahiro Hoguro, Taizo Umezaki, and Hideyoshi Horimai. "Phase reliability evaluation method using correlation function." In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: OSA, 2016. http://dx.doi.org/10.1364/3d.2016.jw4a.48.

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Reports on the topic "Phase function"

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Gillespie, Patti. An Analytic Phase Function for Cylindrical Particles. Fort Belvoir, VA: Defense Technical Information Center, August 1992. http://dx.doi.org/10.21236/ada255750.

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Carlos, W. C., and R. L. Fritz. Multi-Function Waste Tank Facility Corrosion Test Report (Phase 1). Office of Scientific and Technical Information (OSTI), December 1993. http://dx.doi.org/10.2172/1083283.

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Awadalla, N. G. Multi-Function Waste Tank Facility phase out basis. Revision 1. Office of Scientific and Technical Information (OSTI), April 1995. http://dx.doi.org/10.2172/69323.

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Awadalla, N. G. Multi-Function Waste Tank Facility phase out basis. Revision 2. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/97305.

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Manickavasagam, S., and M. P. Menguec. The scattering phase function coefficients of pulverized-coal particles in flames. Office of Scientific and Technical Information (OSTI), December 1992. http://dx.doi.org/10.2172/10149865.

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Wolfe, C. R., J. D. Downie, and J. K. Lawson. Measuring the spatial frequency transfer function of phase measuring interferometers for laser optics. Office of Scientific and Technical Information (OSTI), June 1996. http://dx.doi.org/10.2172/281674.

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Ulaby, Fawwaz T. Millimeter-Wave Measurements and Modelling of the Scattering Phase Function of Inhomogeneous Media. Fort Belvoir, VA: Defense Technical Information Center, July 1991. http://dx.doi.org/10.21236/ada244494.

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Michie, Mark W., Richard A. Angerhofer, Mary P. Barlow, and Patricia A. Beall. Effects of Ingestion of Zinc Naphthenate on the Reproduction Function of Rats. Phase 5. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada235224.

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Calmus, R. B. Design requirements document for the interim store phase I solidified high-level waste function 4.2.4.1.2. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/328484.

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Meidan, Rina, and Robert Milvae. Regulation of Bovine Corpus Luteum Function. United States Department of Agriculture, March 1995. http://dx.doi.org/10.32747/1995.7604935.bard.

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Abstract:
The main goal of this research plan was to elucidate regulatory mechanisms controlling the development, function of the bovine corpus luteum (CL). The CL contains two different sterodigenic cell types and therefore it was necessary to obtain pure cell population. A system was developed in which granulosa and theca interna cells, isolated from a preovulatory follicle, acquired characteristics typical of large (LL) and small (SL) luteal cells, respectively, as judged by several biochemical and morphological criteria. Experiments were conducted to determine the effects of granulosa cells removal on subsequent CL function, the results obtained support the concept that granulosa cells make a substaintial contribution to the output of progesterone by the cyclic CL but may have a limited role in determining the functional lifespan of the CL. This experimental model was also used to better understand the contribution of follicular granulosa cells to subsequent luteal SCC mRNA expression. The mitochondrial cytochrome side-chain cleavage enzyme (SCC), which converts cholesterol to pregnenolone, is the first and rate-limiting enzyme of the steroidogenic pathway. Experiments were conducted to characterize the gene expression of P450scc in bovine CL. Levels of P450scc mRNA were higher during mid-luteal phase than in either the early or late luteal phases. PGF 2a injection decreased luteal P450scc mRNA in a time-dependent manner; levels were significantly reduced by 2h after treatment. CLs obtained from heifers on day 8 of the estrous cycle which had granulosa cells removed had a 45% reduction in the levels of mRNA for SCC enzymes as well as a 78% reduction in the numbers of LL cells. To characterize SCC expression in each steroidogenic cell type we utilized pure cell populations. Upon luteinization, LL expressed 2-3 fold higher amounts of both SCC enzymes mRNAs than SL. Moreover, eight days after stimulant removal, LL retained their P4 production capacity, expressed P450scc mRNA and contained this protein. In our attempts to establish the in vitro luteinization model, we had to select the prevulatory and pre-gonadotropin surge follicles. The ratio of estradiol:P4 which is often used was unreliable since P4 levels are high in atretic follicles and also in preovulatory post-gonadotropin follicles. We have therefore examined whether oxytocin (OT) levels in follicular fluids could enhance our ability to correctly and easily define follicular status. Based on E2 and OT concentrations in follicular fluids we could more accurately identify follicles that are preovulatory and post gonadotropin surge. Next we studied OT biosynthesis in granulosa cells, cells which were incubated with forskolin contained stores of the precursor indicating that forskolin (which mimics gonadotropin action) is an effective stimulator of OT biosynthesis and release. While studying in vitro luteinization, we noticed that IGF-I induced effects were not identical to those induced by insulin despite the fact that megadoses of insulin were used. This was the first indication that the cells may secrete IGF binding protein(s) which regonize IGFs and not insulin. In a detailed study involving several techniques, we characterized the species of IGF binding proteins secreted by luteal cells. The effects of exogenous polyunsaturated fatty acids and arachidonic acid on the production of P4 and prostanoids by dispersed bovine luteal cells was examined. The addition of eicosapentaenoic acid and arachidonic acid resulted in a dose-dependent reduction in basal and LH-stimulated biosynthesis of P4 and PGI2 and an increase in production of PGF 2a and 5-HETE production. Indomethacin, an inhibitor of arachidonic acid metabolism via the production of 5-HETE was unaffected. Results of these experiments suggest that the inhibitory effect of arachidonic acid on the biosynthesis of luteal P4 is due to either a direct action of arachidonic acid, or its conversion to 5-HETE via the lipoxgenase pathway of metabolism. The detailed and important information gained by the two labs elucidated the mode of action of factors crucially important to the function of the bovine CL. The data indicate that follicular granulosa cells make a major contribution to numbers of large luteal cells, OT and basal P4 production, as well as the content of cytochrome P450 scc. Granulosa-derived large luteal cells have distinct features: when luteinized, the cell no longer possesses LH receptors, its cAMP response is diminished yet P4 synthesis is sustained. This may imply that maintenance of P4 (even in the absence of a Luteotropic signal) during critical periods such as pregnancy recognition, is dependent on the proper luteinization and function of the large luteal cell.
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