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Background: At present, the diagnosis of lymphoproliferative disorders is based on the combination of blood or bone marrow smear morphology and immunophenotyping by flow cytometry. Immunophenotypic testing by flow cytometry technique is available only in big medical centers, which is not always convenient for a patient. Therefore, development of an available method for preliminary diagnosis of lymphoproliferative diseases not requiring special equipment seems relevant.Materials and methods: Peripheral blood mononuclear cells from 17 patients admitted to the hospital with suspicion of a lymphoproliferative disorder, and 17 healthy donors were studied on a cell biochip for determination of proportions of cells positive for various surface CD antigens. The diagnosis was verified by flow cytometry.Results: Compared to healthy controls and patients with T-cell lymphoproliferative disorders (TCLPD), the patients with B-cell lymphoproliferative disorders (BCLPD) had significantly lower proportion of CD7+ cells (medians, 7% and 73% respectively, p=2×10-6 for comparison with healthy controls; median 7% and 93% for comparison with TCLPD, p=0.032). In addition, the patients with BCLPD had higher proportion of peripheral СD19+ mononuclear cells, compared to that in the patients with TCLPD and healthy donors (medians 84% and 13% for comparison between BCLPD and healthy control, p=2×10-5; 84% and 3% for comparison of BCLPD and TCLPD, p=0.033). The patients with B-cell chronic lymphocytic leukemia had significantly higher CD5+ cells in the cell biochip compared to the patients with other BCLPD (medians 72% and 9%, p=0.024). The patients with TCLPD had significantly lower proportion of CD19+ cells than the healthy controls (medians, 3% and 13%, respectively, р=0.042).Conclusion: The study has demonstrated the potential to use the previously developed cell biochip for diagnosis of lymphoproliferative diseases. The biochip makes it possible to sort out white blood cells according to their surface differentiation antigen for their further morphological analysis. The cell biochip allows for the differential diagnosis between BCLPD and TCLPD and determination the lymphocyte clones based on the expression of immunoglobulin light chains.

The analysis of the current practice of financial monitoring in Russia is given. A study of the main directions, methods and forms of its implementation in the budgetary sphere and commercial organizations was carried out. The procedure for its implementation, participants, methods and techniques of verification are considered. On the basis of the comparison, common features and differences of external financial monitoring in commercial organizations and the budgetary sphere were identified, conclusions were formulated.

The problem of face photo retrieval using sketches constructed based on a description provided by a witness is discussed. The status of this problem from primary concepts and the used terminology, to modern technologies for constructing sketches, real scenarios and search results is reviewed. The development history of systems for constructing facial composites (identikits and sketches) and the ideas realized in these systems are provided. The task of automatically searching through a database of original photo images using a face sketch is discussed, and the reasons of low performance of such search in real-world scenarios are brought to light. Requirements to databases of sketches in addition to the existing benchmark face databases and also methods of creation of such databases are formulated. Within this framework the methods for generation a population of sketches from the initial sketch to improve the performance of sketch-based photo image retrieval systems are discussed. A method to increase the index of similarity in pairs sketch-photo based on computation of an average sketch from the generated population is provided. It is shown that such sketches are more similar to original photo images and their use in the discussed problem may lead to good results. But for all that, the created sketches meet the requirements of the truthful scenario as allow possibility of incomplete information in verbal descriptions. Results of experiments on CUHK Face Sketch and CUHK Face Sketch FERET databases and also open access sketches and corresponding photo images are discussed.

Aims and objectives of the study are described; state-of-the-art techniques in the study area are outlined. Several effective approaches proposed in the study and targeted at robustness improvement in complex acoustic environments are described. They are multichannel alignment algorithm, vector Taylor series-based features compensation with phase-term modeling, and environment adaptation method based on GMM-derived features. Experimental results analysis and comparison to state of the art are presented.

In unconstrained facial images, large visual variations concerning pose, scale, the presence of occlusions, expressions and lighting usually cause difficulties in discriminating faces from the background accurately. As a result, some non-face regions are recognized as faces (false positive) and that influences the effectiveness of face detection algorithms which is characterized by low false positive (FP) rate, high detection rate and high speed of processing. In order to reduce these non-face regions, they are considered as anomalies and then try to detect them. In this paper, we propose an anomaly detection method using reconstruction error from variational autoencoder (VAE), which is a generative machine learning model. We train VAE to learn reconstructing faces that are close to its original input faces using FDDB dataset, then the difference between the original input face and the reconstructed output is measured to obtain the reconstruction error which can be used as an anomaly score. Consequently, the regions resulting from faces detection algorithm with high reconstruction error are defined as anomalies or false positives.

This paper provides the comparative analysis between two recent image-to-image translation models that based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with shared-latent space, and the second one is Star-GAN which contains a single GAN model. Given training data from two different domains from dataset CelebA, these two models learn translation task in two directions. The term domain denotes as a set of images sharing the same attribute value. So, the attributes that are prepared: eye glasses, blond hair, beard, smiling and age. Five UNIT models are trained separately, while only one Star-GAN model is trained. For evaluation, we conduct some experiments and provide a quantitative comparison using direct metric GAM (Generative Adversarial Metric) to quantify the ability of generalization and the ability of generating photorealistic photos. The experimental results show the superiority of cross-model UNIT over multi-model StarGAN on generating age and eye glasses attributes, and the equivalent performance to synthesize other attributes.

Realization of system of diagnostics of states and management of technological safety in space of states is considered. The technique of definition of the center of safety on the basis of the solution of a problem of linear programming and the two-level system of decision-making on ensuring technological safety is offered. At the first level the center of safety is defined, at the second level the problem of stabilization of process in the field of safe functioning is solved.

The problem of automatic photo-sketchmatching is discussed. Methods for generation a sketches population from the initial sketch to improve the performance of sketch-based photo image retrieval systems is proposed. A method to increase the index of similarity in pairs sketch-photo based on computation of an average sketch from the generated population is provided. It is shown that such sketches are more similar to original photo images and their use in the discussed problem may lead to good results.