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1.
Phys Rev Lett ; 128(8): 087402, 2022 Feb 25.
Article in English | MEDLINE | ID: mdl-35275646

ABSTRACT

We implement full polarization tomography on photon correlations in a spinor exciton-polariton condensate. Our measurements reveal condensate pseudospin mean-field dynamics spanning from stochastic switching between linear polarization components, limit cycles, and stable fixed points, and their intrinsic relation to the condensate photon statistics. We optically harness the cavity birefringence, polariton interactions, and the optical orientation of an incoherent exciton reservoir to engineer photon statistics with precise control. Our results demonstrate a smooth transition from a highly coherent to a super-thermal state of the condensate polarization components.

2.
J Synchrotron Radiat ; 23(Pt 3): 850, 2016 May 01.
Article in English | MEDLINE | ID: mdl-27140168

ABSTRACT

A correction is made to a citation in the article by Antipov et al. (2016) [J. Synchrotron Rad. 23, 163-168].

3.
J Synchrotron Radiat ; 23(1): 163-8, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26698059

ABSTRACT

The fabrication and performance evaluation of single-crystal diamond refractive X-ray lenses of which the surfaces are paraboloids of revolution for focusing X-rays in two dimensions simultaneously are reported. The lenses were manufactured using a femtosecond laser micromachining process and tested using X-ray synchrotron radiation. Such lenses were stacked together to form a standard compound refractive lens (CRL). Owing to the superior physical properties of the material, diamond CRLs could become indispensable wavefront-preserving primary focusing optics for X-ray free-electron lasers and the next-generation synchrotron storage rings. They can be used for highly efficient refocusing of the extremely bright X-ray sources for secondary optical schemes with limited aperture such as nanofocusing Fresnel zone plates and multilayer Laue lenses.


Subject(s)
Crystallization , Diamond , Optics and Photonics , X-Rays
5.
Nanotechnology ; 24(1): 015708, 2013 Jan 11.
Article in English | MEDLINE | ID: mdl-23221362

ABSTRACT

We report results of high-resolution sputter depth profiling of an alternating MgO/ZnO nanolayer stack grown by atomic layer deposition (ALD) of ≈5.5 nm per layer. We used an improved dual beam time-of-flight secondary ion mass spectrometer to measure (24)Mg(+) and (64)Zn(+) intensities as a function of sample depth. Analysis of depth profiles by the mixing-roughness-information model yields a 1.5 nm nanolayer interfacial roughness within the MgO/ZnO multilayer. This finding was cross-validated using specular x-ray reflectivity. Such an analysis further suggested that the 1.5 nm roughness corresponds to native/jig-sawed interfacial roughness rather than interfacial interdiffusion during the ALD growth.

8.
Voen Med Zh ; 321(6): 40-4, 96, 2000 Jun.
Article in Russian | MEDLINE | ID: mdl-10929514

ABSTRACT

Today the use of artificial neuronic nets (ANN) is the most perspective method in the prediction of clinical course and in the choice of correct therapeutic tactics. The experimental complex "Axon" with the software was created in the hospital that permitted to predict the course if gastric and duodenal ulcers. We introduced the data of 909 patients that contained the anamnesis, results of objective examination and late results of the treatment. These data has become the base for training and formation of ANN similar to the structure of human cerebral cortex. Having received the information about a new patient and using the previous experience of therapy of 909 patients mentioned above the trained ANN gives an accurate information concerning this patient. It is presented in the form of protocol of prognosis of ulcer clinical course, the probability of complication development, the results of conservative and surgical treatment. The protocol includes the conclusion with recommendations on the choice of therapeutic tactics.


Subject(s)
Neural Networks, Computer , Peptic Ulcer/therapy , Therapy, Computer-Assisted , Chronic Disease , Diagnosis, Computer-Assisted , Humans , Male , Middle Aged , Peptic Ulcer/complications , Peptic Ulcer/diagnosis , Prognosis
9.
Vestn Khir Im I I Grek ; 159(1): 73-6, 2000.
Article in Russian | MEDLINE | ID: mdl-10890106

ABSTRACT

The authors present the expert neural network programmed complex "Axon" allowing the prognosis of the course of ulcer disease of the stomach and duodenum to be made. On the basis of the prognosis obtained certain medical strategy can be recommended. The neural network in which the data of treatment of 909 patients with ulcer disease of the stomach and duodenum had been introduced was taken as a basis of the complex. The program is registered in the Russian copyright agency for PC programs, data base and topologies of integrated circuits. The authors consider that the approach proposed will allow the correct medical policy to be chosen which can lead to better results of treatment of patients with ulcer disease and thus the 100 years long contradictions between different specialists in determining medical policy for such category of patients will be overcome.


Subject(s)
Duodenal Ulcer/therapy , Neural Networks, Computer , Stomach Ulcer/therapy , Therapy, Computer-Assisted , Duodenal Ulcer/surgery , Female , Humans , Male , Microcomputers , Middle Aged , Prognosis , Software , Stomach Ulcer/surgery
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