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1

Houghtaling, Jared, and Michael Mayer. "Multiparametric Characterization of Single, Unlabeled Proteins in Solution." Biophysical Journal 112, no. 3 (February 2017): 457a—458a. http://dx.doi.org/10.1016/j.bpj.2016.11.2452.

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Basu-Mallick, B., P. Ramadevi, and R. Jagannathan. "Multiparametric and Colored Extensions of the Quantum Group GLq(N) and the Yangian Algebra Y(glN) Through a Symmetry Transformation of the Yang–Baxter Equation." International Journal of Modern Physics A 12, no. 05 (February 20, 1997): 945–62. http://dx.doi.org/10.1142/s0217751x97000700.

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Inspired by Reshetikhin's twisting procedure to obtain multiparametric extensions of a Hopf algebra, a general "symmetry transformation" of the "particle conserving" R-matrix is found such that the resulting multiparametric R-matrix, with a spectral parameter as well as a color parameter, is also a solution of the Yang–Baxter equation (YBE). The corresponding transformation of the quantum YBE reveals a new relation between the associated quantized algebra and its multiparametric deformation. As applications of this general relation to some particular cases, multiparametric and colored extensions of the quantum group GL q(N) and the Yangian algebra Y(glN) are investigated and their explicit realizations are also discussed. Possible interesting physical applications of such extended Yangian algebras are indicated.
3

Żur, Krzysztof, and Piotr Jankowski. "Multiparametric Analytical Solution for the Eigenvalue Problem of FGM Porous Circular Plates." Symmetry 11, no. 3 (March 22, 2019): 429. http://dx.doi.org/10.3390/sym11030429.

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Free vibration analysis of the porous functionally graded circular plates has been presented on the basis of classical plate theory. The three defined coupled equations of motion of the porous functionally graded circular/annular plate were decoupled to one differential equation of free transverse vibrations of plate. The one universal general solution was obtained as a linear combination of the multiparametric special functions for the functionally graded circular and annular plates with even and uneven porosity distributions. The multiparametric frequency equations of functionally graded porous circular plate with diverse boundary conditions were obtained in the exact closed-form. The influences of the even and uneven distributions of porosity, power-law index, diverse boundary conditions and the neglected effect of the coupling in-plane and transverse displacements on the dimensionless frequencies of the circular plate were comprehensively studied for the first time. The formulated boundary value problem, the exact method of solution and the numerical results for the perfect and imperfect functionally graded circular plates have not yet been reported.
4

Dua, V., and E. N. Pistikopoulos. "An outer-approximation algorithm for the solution of multiparametric MINLP problems." Computers & Chemical Engineering 22 (March 1998): S955—S958. http://dx.doi.org/10.1016/s0098-1354(98)00189-6.

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Dua, Vivek, and Efstratios N. Pistikopoulos. "Algorithms for the Solution of Multiparametric Mixed-Integer Nonlinear Optimization Problems." Industrial & Engineering Chemistry Research 38, no. 10 (October 1999): 3976–87. http://dx.doi.org/10.1021/ie980792u.

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Sánchez-Díaz, Antonio, Xabier Rodríguez-Martínez, Laura Córcoles-Guija, Germán Mora-Martín, and Mariano Campoy-Quiles. "High-Throughput Multiparametric Screening of Solution Processed Bulk Heterojunction Solar Cells." Advanced Electronic Materials 4, no. 10 (February 12, 2018): 1700477. http://dx.doi.org/10.1002/aelm.201700477.

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7

Mid, E. C., N. M. Mukhtar, S. H. Syed Yunus, D. A. Hadi, and E. Ruslan. "Explicit Solution of Parameter Estimate using Multiparametric Programming for Boost Converter." Journal of Physics: Conference Series 2550, no. 1 (August 1, 2023): 012017. http://dx.doi.org/10.1088/1742-6596/2550/1/012017.

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Abstract This work proposes an approach to estimate the parameters of capacitance and inductance in a boost converter using an explicit solution. A multiparametric programming (MPP) algorithm is fundamental to the suggested methodology, which aims to develop parameters as explicit functions of measurements. In this method, the generalised mathematical model of the boost converter is discretised into an algebraic equation. The parameter estimation problem is then formulated and solved using Karush-Kuhn-Tucker. Finally, an explicit solution of estimate parameters such as capacitor and inductor is formulated as an explicit function of the inductor currents and capacitor voltage. Finally, the state variables of the boost converter are numerically obtained and used to test the capability of the proposed work. The results presented in this work prove the MPP algorithm can estimate the boost converter’s parameters, which can be extended to other power converters and filters.
8

Fedorov, V. Kh, E. G. Balenko, S. A. Ivanov, and E. V. Vershennik. "Monitoring and Controlling Condition of Complex Multiparametric Object." Journal of Physics: Conference Series 2096, no. 1 (November 1, 2021): 012037. http://dx.doi.org/10.1088/1742-6596/2096/1/012037.

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Abstract Technology is advancing ever faster in all areas of human activity, making the objects around us ever more complicated. Notably, complex objects have multiple parameters that define their condition, whether normal, near-critical, critical, over-critical, etc. If critical infrastructures are in critical condition, their collapse jeopardizes not only the infrastructures, but also their environment. This is why timely maintenance and control of condition is imperative for complex objects. This paper dwells upon a method for monitoring and controlling the condition of a complex multiparametric object; the method uses a minimum number of monitored parameters to retain full data on the condition of a complex object, to optimize the periodicity of taking readings depending on the functional phase of the object, and to determine how object parameters relate to each other and how they affect the quality of its functioning; such minimization reduces computational complexity and the bandwidth requirement. Russian Invention Patents granted to the authors certify the novelty and practical significance of the proposed solution.
9

Pappas, Iosif, Nikolaos A. Diangelakis, and Efstratios N. Pistikopoulos. "A Strategy for the Exact Solution of Multiparametric/Explicit Quadratically Constrained NMPC Problems." IFAC-PapersOnLine 53, no. 2 (2020): 11380–85. http://dx.doi.org/10.1016/j.ifacol.2020.12.561.

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10

Varga, Rok, Bojan Žlender, and Primož Jelušič. "Multiparametric Analysis of a Gravity Retaining Wall." Applied Sciences 11, no. 13 (July 5, 2021): 6233. http://dx.doi.org/10.3390/app11136233.

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The design of a gravity retaining wall should be simple to construct, quick to build and the best economic solution to a problem. This can be achieved by using advanced optimization methods. Since geotechnical engineers are not always able to determine the exact soil properties and other project data, an optimal design of a gravity retaining wall should also be determined for a wide range of input parameters. Therefore, a multiparametric analysis of an optimal designed gravity retaining wall was carried out. Optimum designs of gravity retaining walls were obtained for 567 combinations of different design parameters. Diagrams were developed to help engineers determine the optimum section of the wall, based on construction costs. An exhaustive search was carried out within the available parameters (project data). The parameters were ranked according to which had the most influence on the optimum cost of the gravity retaining wall and the utilization of multiple constraints. The most important parameter for the optimal cost of a gravity retaining wall is the height of the retained ground, followed by the shear angle of the soil, the soil–wall interaction coefficient, the slope angle and the variable surcharge load. The shear angle of the soil is most relevant to the bearing capacity and eccentricity condition, while the soil–wall interaction coefficient is most relevant to the sliding condition. Since European countries apply different load, material and resistance safety factors, the optimization model was developed in a general form, where different design approaches and unit prices could be applied. The case study provides an improved optimization model for selecting the optimal design of gravity walls, for engineers.
11

Yang, Xiaoliu, Zetao Li, Qingfang Zhang, Qinmu Wu, and Linli Yang. "A Nonlinear Adaptive Observer-Based Differential Evolution Algorithm to Multiparameter Fault Diagnosis." Mathematical Problems in Engineering 2020 (May 7, 2020): 1–12. http://dx.doi.org/10.1155/2020/4531075.

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In this paper, a novel adaptive diagnosis scheme is proposed for multiparametric faults of nonlinear systems by using the model and intelligent optimization-based approaches. The key idea of the proposed method is to analyze the correlation of the output signals between the real system and the fault identification system instead of residual. A new adaptive scheme is built based on an adaptive observer and differential evolution algorithm. Meanwhile, the conditions of detectability and identifiability of faults are analyzed. The isolation and estimation of the multiparametric fault are formulated as the solution of an optimization problem that is solved by using a differential evolutionary algorithm (DE). The fitness function of DE is constructed by the correlation coefficient equations in which the faulty components are contained. The application on a coupled three water tank model attests the feasibility and validity of the suggested approach. Simulation and experimental results show that the developed method is applicable to diagnose either single or multiparameter faults on-line.
12

Hakula, Harri, and Mikael Laaksonen. "Subspace Reduction for Stochastic Planar Elasticity." Applied Mechanics 3, no. 1 (December 22, 2021): 1–13. http://dx.doi.org/10.3390/applmech3010001.

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Stochastic eigenvalue problems are nonlinear and multiparametric. They require their own solution methods and remain one of the challenge problems in computational mechanics. For the simplest possible reference problems, the key is to have a cluster of at the low end of the spectrum. If the inputs, domain or material, are perturbed, the cluster breaks and tracing of the eigenpairs become difficult due to possible crossing of the modes. In this paper we have shown that the eigenvalue crossing can occur within clusters not only by perturbations of the domain, but also of material parameters. What is new is that in this setting, the crossing can be controlled; that is, the effect of the perturbations can actually be predicted. Moreover, the basis of the subspace is shown to be a well-defined concept and can be used for instance in low-rank approximation of solutions of problems with static loading. In our industrial model problem, the reduction in solution times is significant.
13

Stovas, Alexey, Nabil Masmoudi, and Tariq Alkhalifah. "Application of perturbation theory to a P-wave eikonal equation in orthorhombic media." GEOPHYSICS 81, no. 6 (November 2016): C309—C317. http://dx.doi.org/10.1190/geo2016-0097.1.

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The P-wave eikonal equation for orthorhombic (ORT) anisotropic media is a highly nonlinear partial differential equation requiring the solution of a sixth-order polynomial to obtain traveltimes, resulting in complex and time-consuming numerical solutions. To alleviate this complexity, we approximate the solution of this equation by applying a multiparametric perturbation approach. We also investigated the sensitivity of traveltime surfaces in ORT media with respect to three anelliptic parameters. As a result, a simple and accurate P-wave traveltime approximation valid for ORT media was derived. Two different possible anelliptic parameterizations were compared. One of the parameterizations includes anelliptic parameters defined at zero offset: [Formula: see text], [Formula: see text], and [Formula: see text]. Another parameterization includes anelliptic parameters defined for all symmetry planes: [Formula: see text], [Formula: see text], and [Formula: see text]. The azimuthal behavior of sensitivity coefficients with different parameterizations was used to analyze the crosstalk between anelliptic parameters.
14

Hecht, Lars, Korbinian Rager, Martynas Davidonis, Patricia Weber, Günter Gauglitz, and Andreas Dietzel. "Blister-Actuated LIFT Printing for Multiparametric Functionalization of Paper-Like Biosensors." Micromachines 10, no. 4 (March 28, 2019): 221. http://dx.doi.org/10.3390/mi10040221.

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Laser induced forward transfer (LIFT) is a flexible digital printing process for maskless, selective pattern transfer, which uses single laser pulses focused through a transparent carrier substrate onto a donor layer to eject a tiny volume of the donor material towards a receiver substrate. Here, we present an advanced method for the high-resolution micro printing of bio-active detection chemicals diluted in a viscous buffer solution by transferring droplets with precisely controllable volumes using blister-actuated LIFT (BA-LIFT). This variant of the LIFT process makes use of an intermediate polyimide layer partially ablated by the laser pulses. The expanding gaseous ablation products lead to blisters in the polyimide and ejection of droplets from the subjacent viscous solution layer. A relative movement of donor and receiver substrates for the transfer of partially overlapping pixels is realized with a custom-made positioning system. Using a specially developed donor ink containing bio-active components presented method allows to transfer droplets with well controllable volumes between 20 fL and 6 pL, which is far more precise than other methods like inkjet or contact printing. The usefulness of the process is demonstrated by locally functionalizing laser-structured nitrocellulose paper-like membranes to form a multiparametric lateral flow test. The recognition zones localized within parallel micro channels exhibit a well-defined and homogeneous color change free of coffee-ring patterns, which is of utmost importance for reliable optical readout in miniature multiparametric test systems.
15

Yang, Qingqing, Qian Ma, Kate M. Herum, Chonghe Wang, Nirav Patel, Joon Lee, Shanshan Wang, et al. "Array atomic force microscopy for real-time multiparametric analysis." Proceedings of the National Academy of Sciences 116, no. 13 (March 8, 2019): 5872–77. http://dx.doi.org/10.1073/pnas.1813518116.

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Nanoscale multipoint structure–function analysis is essential for deciphering the complexity of multiscale biological and physical systems. Atomic force microscopy (AFM) allows nanoscale structure–function imaging in various operating environments and can be integrated seamlessly with disparate probe-based sensing and manipulation technologies. Conventional AFMs only permit sequential single-point analysis; widespread adoption of array AFMs for simultaneous multipoint study is challenging owing to the intrinsic limitations of existing technological approaches. Here, we describe a prototype dispersive optics-based array AFM capable of simultaneously monitoring multiple probe–sample interactions. A single supercontinuum laser beam is utilized to spatially and spectrally map multiple cantilevers, to isolate and record beam deflection from individual cantilevers using distinct wavelength selection. This design provides a remarkably simplified yet effective solution to overcome the optical cross-talk while maintaining subnanometer sensitivity and compatibility with probe-based sensors. We demonstrate the versatility and robustness of our system on parallel multiparametric imaging at multiscale levels ranging from surface morphology to hydrophobicity and electric potential mapping in both air and liquid, mechanical wave propagation in polymeric films, and the dynamics of living cells. This multiparametric, multiscale approach provides opportunities for studying the emergent properties of atomic-scale mechanical and physicochemical interactions in a wide range of physical and biological networks.
16

Oberdieck, Richard, Martina Wittmann-Hohlbein, and Efstratios N. Pistikopoulos. "A branch and bound method for the solution of multiparametric mixed integer linear programming problems." Journal of Global Optimization 59, no. 2-3 (January 18, 2014): 527–43. http://dx.doi.org/10.1007/s10898-014-0143-9.

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17

Domínguez, Luis F., and Efstratios N. Pistikopoulos. "A quadratic approximation-based algorithm for the solution of multiparametric mixed-integer nonlinear programming problems." AIChE Journal 59, no. 2 (June 25, 2012): 483–95. http://dx.doi.org/10.1002/aic.13838.

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18

Khoromskij, B. N., and I. Oseledets. "Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs." Computational Methods in Applied Mathematics 10, no. 4 (2010): 376–94. http://dx.doi.org/10.2478/cmam-2010-0023.

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Abstract We investigate the convergence rate of the quantics-TT (QTT) stochas- tic collocation tensor approximations to solutions of multiparametric elliptic PDEs and construct efficient iterative methods for solving arising high-dimensional parameter- dependent algebraic systems of equations. Such PDEs arise, for example, in the para- metric, deterministic reformulation of elliptic PDEs with random field inputs, based, for example, on the M-term truncated Karhunen-Loève expansion. We consider both the case of additive and log-additive dependence on the multivariate parameter. The local-global versions of the QTT-rank estimates for the system matrix in terms of the parameter space dimension is proven. Similar rank bounds are observed in numerics for the solutions of the discrete linear system. We propose QTT-truncated iteration based on the construction of solution-adaptive preconditioner that provides robust conver- gence in both additive and log-additive cases. Various numerical tests indicate that the numerical complexity scales almost linearly in the dimension of parametric space M.
19

Wittmann-Hohlbein, Martina, and Efstratios N. Pistikopoulos. "A Two-Stage Method for the Approximate Solution of General Multiparametric Mixed-Integer Linear Programming Problems." Industrial & Engineering Chemistry Research 51, no. 23 (June 4, 2012): 8095–107. http://dx.doi.org/10.1021/ie201408p.

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20

Derzhavets, L. A., S. A. Krasny, T. A. Letkovskaya, A. V. Karman, D. M. Maksimov, V. A. Bakunovich, E. I. Vanzindo, and S. V. Shimanets. "EARLY DIAGNOSIS OF PROSTATE CANCER WITH THE USE OF ULTRASOUND SHEAR WAVE ELASTOGRAPHY." Vestnik of Vitebsk State Medical University 20, no. 6 (December 10, 2021): 43–55. http://dx.doi.org/10.22263/2312-4156.2021.6.43.

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The existing standard methods for the diagnosis of prostate cancer (PCa) have reached their limit in the detection of early forms of the disease. Fairly recently a new promising modality of transrectal ultrasound (US) has appeared - shear wave elastography (SWE), allowing to approach the solution of this problem. Objectives. To increase the effectiveness of early diagnosis of PCa by evaluating the data of multiparametric magnetic resonance imaging (MRI), transrectal US with SWE (US-SWE) and systematic biopsy, supplemented by the target stage. Material and methods. The material for the study was 186 patients with suspected PCa who underwent the following diagnostic measures: determination of the level of prostate specific antigen (PSA) isoforms with the calculation of calculated values, multiparametric MRI, transrectal US-SWE, biopsy (n=164) with separate labeling (t=126) and histological examination. Results. Improved reporting system and terminology for data evaluation of transrectal US-SWE with final assessment categories of PCa possibility is presented. A new algorithm for early diagnosis of PCa using ultrasound elastography has been proposed. The incidence of PCa in the group of patients to whom the new diagnostic method [n=126] was applied made up 78/126 (61.9%), out of them GG (grade group of the International Society of Urological Pathology [ISUP]) ≥ 2 was in 39/126 (31.0%), which is better compared to the standard approach. Transrectal US-SWE allowed to identify additionally 13/78 (16.7%) PCa foci in the study group of 126 (10.3%) patients in whom PCa was not visualized on multiparametric MRI, of which GG ≥2 was in 6/13 (46.2%). PCa lesions revealed on transrectal US-SWE were localized mainly in the posterior zones (11/13 [84.6%]). Conclusions. The developed method of early diagnosis of PCa by means of ultrasound SWE is effective and suitable for applying in clinical practice.
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Sánchez-Díaz, Antonio, Xabier Rodríguez-Martínez, Laura Córcoles-Guija, Germán Mora-Martín, and Mariano Campoy-Quiles. "Combinatorial Screening: High-Throughput Multiparametric Screening of Solution Processed Bulk Heterojunction Solar Cells (Adv. Electron. Mater. 10/2018)." Advanced Electronic Materials 4, no. 10 (October 2018): 1870047. http://dx.doi.org/10.1002/aelm.201870047.

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Simonov, K. V., V. V. Kuimov, M. V. Kobalinsky, S. V. Kirillova, A. G. Zotin, M. A. Kurako, and A. N. Matsulev. "Methodological support of the expert system in the problem of interaction of business ecosystems." Informatization and communication 4 (April 2021): 47–53. http://dx.doi.org/10.34219/2078-8320-2021-12-4-47-53.

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The paper discusses modern approaches and digital transformations in business models and interactions. In this regard for a quantitative description of interactions in ecosystems a variant of methodological support based on neural networks is proposed for fast nonlinear multiparametric regression of large data sets within the projected expert system. The possibility of effective solution of the problem of filling gaps in the observational data arrays and processing of not precisely specified information is shown. This approach is proposed for solving predictive problems in the problem of interaction of objects of interest in business ecosystems. The article was prepared within the framework of the Grant of the RFBR and the Government of the Krasnoyarsk Territory No. 20-410-242916 / 20 r_mk Krasnoyarsk.
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Domingues, Cátia, Ivana Jarak, Carla Varela, Elisiário Tavares, Fernanda Roleira, Carmen Alvarez-Lorenzo, Angel Concheiro, et al. "Synthesis and Characterization of a Novel Nanomicellar System Pluronic-PEI Suitable for Gene and Drug Co-Delivery in Cancer Therapy." Proceedings 78, no. 1 (December 1, 2020): 36. http://dx.doi.org/10.3390/iecp2020-08795.

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Polyethyleneimine (PEI) is a synthetic cationic polymer recognized as a non-viral gene carrier with high transfection efficiency. However, cytotoxicity issues limit its use. Pluronic block-copolymers conjugated with PEI have demonstrated promising results for multiparametric target gene/drug co-delivery in cancer with reduced side effects. The goal of this work was to synthesize and characterize a novel nanosystem Pluronic L121-PEI for gene/drug co-delivery. For this purpose, hydroxyl groups from Pluronic were activated using acryloyl chloride leading to the synthesis of a diacrylate intermediate, which was further conjugated with PEI. FTIR and 1H-NMR spectroscopy were used for structural characterization. Particle size, polydispersity index (PDI) and zeta potential were assessed by dynamic and electrophoretic light scattering, respectively. A fluorescent pyrene probe was used to evaluate the critical micellar concentration (CMC). A hemolysis experiment was performed to estimate the in vitro biocompatibility of the nanosystem. FTIR analysis showed that Pluronic diacrylate was successfully synthetized as a new band around 1730 cm−1 (C=O bond) appears. Its conjugation with PEI was confirmed by the presence of a band between 3380 and 3390 cm−1 (N–H bond). 1H-NMR results showed characteristic proton peaks from Pluronic (-CH3 at δ1.1 ppm) and from PEI (-CH2-CH2NH- between δ2.7–3.4 ppm) and the molar ratio Pluronic–PEI was 1:2. The nanoparticles’ hydrodynamic diameter was ca. 125 nm with a PDI below 0.250, and a charge nearby +30 mV. The CMC was around 50 μg/mL. The hemolysis ratio of a 5 mg/mL nanomicellar solution was less than 5%. A novel Pluronic L121-PEI was successfully synthesized, which was able to self-assemble in aqueous solution leading to the formation of biocompatible cationic polymeric micelles. Their small size is suitable for tumor-targeting and as they are positively charged they can be also valuable for gene delivery. Overall, this new nanosystem could be a promising multiparametric nanoapproach for gene/drug co-delivery in cancer therapy.
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Michelena, N. F., and A. M. Agogino. "Formal Solution of N-Type Robust Parameter Design Problems with Stochastic Noise Factors." Journal of Mechanical Design 116, no. 2 (June 1, 1994): 501–7. http://dx.doi.org/10.1115/1.2919407.

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The Taguchi method of product design is a statistical experimental technique aimed at reducing the variance of a product performance characteristic due to uncontrollable factors. The goal of this paper is to provide a monotonicity analysis based methodology to facilitate the solution of N-type parameter design problems. The design obtained is robust in that the sensitivity to variations of uncontrollable factors (noise) has been minimized. The performance characteristic is unbiased in the sense that its expected value equals a target or specification. The proposed loss function is based on the absolute deviation of the characteristic with respect to the target, instead of the common square error approach. Conditions, like those imposed by monotonicity analysis, on the monotonic characteristics of the performance function are proven even for problems where the objective function is not monotonic and contains stochastic parameters. These conditions allow the qualitative analysis of the problem to identify the activity of some constraints. Identification of active sets of constraints allows a problem reduction strategy to be used, where the solution to the original problem is obtained by solving a set of problems with fewer degrees of freedom. Results for the case of one uncontrollable factor are independent of the probability measure on the factor. However, conclusions for the multiparametric case must take into account the characteristics of the probability space on which the random parameters are defined.
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Imre, Attila R., and Axel Groniewsky. "Various Ways of Adiabatic Expansion in Organic Rankine Cycle (ORC) and in Trilateral Flash Cycle (TFC)." Zeitschrift für Physikalische Chemie 233, no. 4 (April 24, 2019): 577–94. http://dx.doi.org/10.1515/zpch-2018-1292.

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Abstract For energy production and conversion, the use of thermodynamic cycles is still the most common way. To find the optimal solution is a multiparametric optimization problem, where some parameters are related to thermodynamic and physical chemistry, while others are associated with costs, safety, or even environmental issues. Concerning the thermodynamic aspects of the design, the selection of the working fluid is one of the crucial points. Here, we are going to show different types of adiabatic expansion processes in various pure working fluids, pointing out the ones preferred in Organic Rankine Cycles or in Trilateral Flash Cycles. The effect of these expansions on the layout of the cycles will also be presented. Finally, we are giving a few thumb-rules, derived from thermodynamic studies, useful for energy engineers to select the proper working fluid for a given thermal system.
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Stepanova, L. V., and V. S. Dolgikh. "EXPERIMENTAL DETERMINATION OF COEFFICIENTS OF A MULTIPARAMETER DECOMPOSITION OF FIELD OF CRACK TIP STRESSES: PHOTOELASTICITY METHOD." Vestnik of Samara University. Natural Science Series 23, no. 1 (September 20, 2017): 59–68. http://dx.doi.org/10.18287/2541-7525-2017-23-1-59-68.

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The purpose of this study is multiparameter asymptotic analysis of the stress field in the immediate vicinity of the crack tip in a linearly elastic material and construction of complete asymptotic expansion of M. Williams stress field in the vicinity of the crack tip. Multiparametric analysis of the stress field is based on the polarization-optical methods of mechanics of a deformable solid (the method of photoelasticity). Digital processing of the results of optoelectronic measurements performed on a series of samples with cracks and notches is carried out. Different classes of samples from optically sensitive materials, in particular a sample with two collinear cracks under conditions of normal detachment, were considered. A set of programs has been prepared that makes it possible to determine the scale (amplitude) multipliers of complete asymptotic expansion of M.Villiams for the stress field at the crack tip. Using the basic law of photoelasticity, first five coefficients of complete asymptotic expansion of M. Williams are calculated. The results of the experiments are compared with the available analytical solution. It is shown that the results of processing optoelectronic measurements are in good agreement with the analytical solution obtained for an infinite plate with two collinear cracks.
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Sapronov, Ivan. "Volterra integral equation in Banach space." Modeling of systems and processes 16, no. 3 (October 18, 2023): 105–14. http://dx.doi.org/10.12737/2219-0767-2023-16-3-105-114.

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Despite the significant results achieved in the study of operator equations (including Volterra equations) in normalized Banach spaces, fundamental research in this field of mathematics attracts the attention of a huge number of mathematicians around the world. The solutions of the Volterra equation describe many important processes in various fields of science and technology. Studies of various inverse problems, experimental or experimental data processing problems related to the study of spherical or axisymmetric plasma formations, numerous mathematical models of the existence of various biological systems lead to the consideration and solution of this type of integral equations. A great contribution to the development of this theory was made by N.A. Magnitsky, L.I. Panov, A.N. Tikhonov, M.M. Lavrentiev and others. Fundamental results were obtained in the study of multiple operator equations with singularities in various functional spaces. Solutions depending on many parameters were constructed for the above equations. Currently, such problems are considered in spaces of arbitrary dimension and with coefficients having a derivative of finite order. In this paper, a finite set of solutions in a certain functional space is constructed for an integral equation of the first kind. The kernel of the integral operator has a finite order and is sufficiently differentiable near zero. The integral equation under consideration is reduced to an integro-differential equation representing two terms. For the first term, it is possible to solve the corresponding inhomogeneous equation and obtain a set of solutions in some functional normalized space. For the second term, we obtain an equation with an operator whose norm in some operator space is arbitrarily small near zero. Such splitting of the integral operator makes it possible to construct a partial and general solution of the corresponding integro-differential equation in the form of convergent equations. Applying modern methods of functional analysis, it is possible, by studying two separate equations, to construct a multiparametric family of solutions with values in some Banach space with weight for the original equation under consideration.
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YULIA V., VERTAKOVA, ZUGA EKATERINA I., PLOTNIKOV VLADIMIR A., and SHANYGIN SERGEI I. "CONCEPTUAL APPROACHES TO SUPPORTING DECISION-MAKING ON TRANSFORMATION OF THE STRUCTURE OF A LARGE PRODUCTION COMPLEX." Scientific Works of the Free Economic Society of Russia 234, no. 2 (2022): 177–203. http://dx.doi.org/10.38197/2072-2060-2022-234-2-177-203.

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The article is devoted to the study of tools for assessing and modifying the structure of a large geographically distributed industrial complex (company) performing a set of long-term projects. The goal is to develop conceptual approaches to a formalized description of the parameters of such a complex and to identify appropriate calendar dates for changing its structure, based on the changing actual characteristics of projects. The analysis of publications on this issue showed that all companies have problems, and they are still far from a complete solution. Not all the methods of situation analysis proposed in scientific works were ideal, and not all of them were practically implemented on the basis of actually available information. To implement in decision support systems, three technologies are proposed for assessing the situation based on the presentation of multiparametric information in the form of polar diagrams and frequency distributions, including in dynamics.
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Cennamo, Nunzio, Francesco Arcadio, Fiore Capasso, Devid Maniglio, Luigi Zeni, and Alessandra Maria Bossi. "Non-Specific Responsive Nanogels and Plasmonics to Design MathMaterial Sensing Interfaces: The Case of a Solvent Sensor." Sensors 22, no. 24 (December 19, 2022): 10006. http://dx.doi.org/10.3390/s222410006.

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The combination of non-specific deformable nanogels and plasmonic optical probes provides an innovative solution for specific sensing using a generalistic recognition layer. Soft polyacrylamide nanogels that lack specific selectivity but are characterized by responsive behavior, i.e., shrinking and swelling dependent on the surrounding environment, were grafted to a gold plasmonic D-shaped plastic optical fiber (POF) probe. The nanogel–POF cyclically challenged with water or alcoholic solutions optically reported the reversible solvent-to-phase transitions of the nanomaterial, embodying a primary optical switch. Additionally, the non-specific nanogel–POF interface exhibited more degrees of freedom through which specific sensing was enabled. The real-time monitoring of the refractive index variations due to the time-related volume-to-phase transition effects of the nanogels enabled us to determine the environment’s characteristics and broadly classify solvents. Hence the nanogel–POF interface was a descriptor of mathematical functions for substance identification and classification processes. These results epitomize the concept of responsive non-specific nanomaterials to perform a multiparametric description of the environment, offering a specific set of features for the processing stage and particularly suitable for machine and deep learning. Thus, soft MathMaterial interfaces provide the ground to devise devices suitable for the next generation of smart intelligent sensing processes.
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Olejarova, Štefania. "ANALYSIS OF THE INFLUENCE OF SELECTED TECHNOLOGICAL PARAMETERS ON THE MAGNITUDE OF VIBRATIONS DURING MATERIAL MACHINING BY MILLING." Journal of Production Engineering 25, no. 1 (June 30, 2022): 15–19. http://dx.doi.org/10.24867/jpe-2022-01-015.

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With the current development of technology, more and more emphasis is being placed on product quality. Therefore, it is important in machining to continuously take care to reduce the influence of undesirable factors that adversely affect the machining process itself. Vibrations are one of the basic factors influencing the quality of machining. This paper analyzes the issue of vibration during milling. By measuring selected vibration parameters on the spindle head of a universal tool milling machine, information on the process of vibration magnitude in the milling process was obtained using a multiparametric vibration sensor. During machining, the magnitudes of vibration velocity and acceleration are recorded at speed changes of 71 rpm, 90 rpm, and 140 rpm. The measured data are tabulated and displayed in graphical dependencies. They are used to obtain the information needed to develop a proposal for a solution to the mentioned issue, which is the main objective of this research.
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Korsun, O. N., A. V. Stulovsky, and S. V. Nikolaev. "CALCULATING THE BOUNDARIES OF THE AIRCRAFT EXIT ZONE TO A SET POINT." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 206 (August 2021): 3–11. http://dx.doi.org/10.14489/vkit.2021.08.pp.003-011.

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The article considers the method of calculating the boundaries of the exit zone of the aircraft to a given point based on the optimal control method. To find the optimal control, it is proposed to use a direct method based on parameterization of the desired control signals using third-order Hermitian splines. The choice of Hermitian cubic splines was motivated by the fact that these splines and their first order derivatives are smooth and continuous functions, on the one hand, and, on the other, do not require the additional solution of algebraic equations to meet the specific conditions in spline nodes which is obligatory for classic cubic splines. Spline parameters estimation is achieved through solution of the unconditional multiparametric optimization problem. The target functional includes the squares of mismatches between the desired output signals and the object model output signals. In this paper the parameter estimates are obtained using the widely known numerical optimization algorithm – the particle swarm method. The paper considers the aircraft motion in the vertical plane, for which a mathematical model of the control object is formed and the target functional is formulated. The proposed solution is advisable to apply when calculating the optimal trajectories and flight profiles of aircraft when planning their functioning for the designed purpose. The developed method allows solving a number of tasks in the process of modern aircraft design and flight tests. The application of the proposed method, the required structure of the mathematical model of the object and the features of the formation of the minimized functional are shown in a specific example.
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Corradini, Daniele, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa, and Daniel Remondini. "Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data." Cancers 13, no. 16 (August 5, 2021): 3944. http://dx.doi.org/10.3390/cancers13163944.

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Many efforts have been carried out for the standardization of multiparametric Magnetic Resonance (mp-MR) images evaluation to detect Prostate Cancer (PCa), and specifically to differentiate levels of aggressiveness, a crucial aspect for clinical decision-making. Prostate Imaging—Reporting and Data System (PI-RADS) has contributed noteworthily to this aim. Nevertheless, as pointed out by the European Association of Urology (EAU 2020), the PI-RADS still has limitations mainly due to the moderate inter-reader reproducibility of mp-MRI. In recent years, many aspects in the diagnosis of cancer have taken advantage of the use of Artificial Intelligence (AI) such as detection, segmentation of organs and/or lesions, and characterization. Here a focus on AI as a potentially important tool for the aim of standardization and reproducibility in the characterization of PCa by mp-MRI is reported. AI includes methods such as Machine Learning and Deep learning techniques that have shown to be successful in classifying mp-MR images, with similar performances obtained by radiologists. Nevertheless, they perform differently depending on the acquisition system and protocol used. Besides, these methods need a large number of samples that cover most of the variability of the lesion aspect and zone to avoid overfitting. The use of publicly available datasets could improve AI performance to achieve a higher level of generalizability, exploiting large numbers of cases and a big range of variability in the images. Here we explore the promise and the advantages, as well as emphasizing the pitfall and the warnings, outlined in some recent studies that attempted to classify clinically significant PCa and indolent lesions using AI methods. Specifically, we focus on the overfitting issue due to the scarcity of data and the lack of standardization and reproducibility in every step of the mp-MR image acquisition and the classifier implementation. In the end, we point out that a solution can be found in the use of publicly available datasets, whose usage has already been promoted by some important initiatives. Our future perspective is that AI models may become reliable tools for clinicians in PCa diagnosis, reducing inter-observer variability and evaluation time.
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Andreev, Sergey V., Sergey A. Zverev, Ilya A. Zamilatskov, Nadezhda M. Kurochkina, Gelii V. Ponomarev, Andrew N. Fitch, and Vladimir V. Chernyshev. "Polymeric structure of a coproporphyrin I ruthenium(II) complex: a powder diffraction study." Acta Crystallographica Section C Structural Chemistry 73, no. 1 (January 1, 2017): 47–51. http://dx.doi.org/10.1107/s2053229616019422.

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Porphyrin complexes of ruthenium are widely used as models for the heme protein system, for modelling naturally occurring iron–porphyrin systems and as catalysts in epoxidation reactions. The structural diversity of ruthenium complexes offers an opportunity to use them in the design of multifunctional supramolecular assemblies. Coproporphyrins and metallocoproporphyrins are used as sensors in bioassay and the potential use of derivatives as multiparametric sensors for oxygen and H+ is one of the main factors driving a growing interest in the synthesis of new porphyrin derivatives. In the coproporphyrin I RuII complex catena-poly[[carbonylruthenium(II)]-μ-2,7,12,17-tetrakis[2-(ethoxycarbonyl)ethyl]-3,8,13,18-tetramethylporphyrinato-κ5 N,N′,N′′,N′′′:O], [Ru(C44H52N4O8)(CO)] n , the RuII centre is coordinated by four N atoms in the basal plane, and by axial C (carbonyl ligand) and O (ethoxycarbonylethyl arm from a neighbouring complex) atoms. The complex adopts a distorted octahedral geometry. Self-assembly of the molecules during crystallization from a methylene chloride–ethanol (1:10 v/v) solution at room temperature gives one-dimensional polymeric chains.
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Debia, Natalí P., Juan J. P. Rodríguez, Carolina H. da Silveira, Otavio A. Chaves, Bernardo A. Iglesias, Fabiano S. Rodembusch, and Diogo S. Lüdtke. "Synthesis and photophysics of benzazole based triazoles with amino acid-derived pendant units. Multiparametric optical sensors for BSA and CT-DNA in solution." Journal of Molecular Liquids 309 (July 2020): 113092. http://dx.doi.org/10.1016/j.molliq.2020.113092.

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Mavridou, Theodora, Nikolaos Nanos, and Lambros Doulos. "Modular Construction of Industrial Buildings and Lean Thinking—Identifying the Role of Daylight through a Case Study." Sustainability 15, no. 18 (September 6, 2023): 13354. http://dx.doi.org/10.3390/su151813354.

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This research looks at the optimisation of industrial buildings through the application of the principles of lean thinking and philosophy, with an emphasis on daylighting in the design of industrial buildings. With the use of multiparametric analysis tools, we provide a solution for the optimized design of a roof system for the provision of daylight, whilst maximising the benefits and minimising the cost during its lifetime, in different geographic and climatic regions in Greece. An optimisation algorithm has been proposed that improves the selection of the optimal roof opening type and geometry for industrial buildings in different geographical locations. The investigation of a roof system model was based on the maximum performance of daylighting, while reducing unnecessary energy use and cost. To reach our solution, we investigated the sawtooth roofing system in terms of energy cost (cooling, heating, and lighting), geography (orientation, location), and building variables (the opening dimensions and number). This has been achieved through the use of multi-parametric design, computational simulations, genetic algorithms, and the post-processing of results through statistical analysis. The use of natural lighting proved to be an effective sustainability strategy, providing energy savings of up to 20–30%, and offering economic advantages, hence presenting a comprehensive approach that benefits stakeholders and end-users by reducing the thermal loads, cooling requirements, initial HVAC costs, and overall waste. The developed algorithm has identified the optimal opening size and distance as ranging between 10 and 11 m for the conditions examined.
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Monza, Laura, Giulia Fumagalli, Alessia Chiorazzi, and Paola Alberti. "Addressing the Need of a Translational Approach in Peripheral Neuropathy Research: Morphology Meets Function." Brain Sciences 11, no. 2 (January 22, 2021): 139. http://dx.doi.org/10.3390/brainsci11020139.

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Peripheral neuropathies (PNs) are a type of common disease that hampers the quality of life of affected people. Treatment, in most cases, is just symptomatic and often ineffective. To improve drug discovery in this field, preclinical evidence is warranted. In vivo rodent models allow a multiparametric approach to test new therapeutic strategies, since they can allow pathogenetic and morphological studies different from the clinical setting. However, human readouts are warranted to promptly translate data from the bench to the bedside. A feasible solution would be neurophysiology, performed similarly at both sides. We describe a simple protocol that reproduces the standard clinical protocol of a neurophysiology hospital department. We devised the optimal montage for sensory and motor recordings (neurography) in mice, and we also implemented F wave testing and a short electromyography (EMG) protocol at rest. We challenged this algorithm by comparing control animals (BALB/c mice) with a model of mild neuropathy to grasp even subtle changes. The neurophysiological results were confirmed with neuropathology. The treatment group showed all expected alterations. Moreover, the neurophysiology matched the neuropathological analyses. Therefore, our protocol can be suggested to promptly translate data from the bench to the bedside and vice versa.
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Dubovik, V. N., V. T. Zhukov, K. V. Manukovskii, N. D. Novikova, D. V. Tulin, and O. B. Feodoritova. "Parametric Calculations of the Aerodynamics of a Descent Vehicle." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 2 (95) (April 2021): 37–51. http://dx.doi.org/10.18698/1812-3368-2021-2-37-51.

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We present the methodology and results of parametric aerodynamic studies of vehicles descending into the planet’s atmosphere. The proposed computational approach might serve as the basis for solving a number of problems such as predicting and optimizing the descent trajectory of the vehicle, the search for a rational aerodynamic layout of the vehicle, i.e., tasks requiring massive parametric calculations. The systematization of such calculations is the first step towards the creation of a specialized database that includes sets of input and output data (flight speed, angles of attack, drag and lift coefficients, aerodynamic pitching moment, etc.) and the corresponding three-dimensional fields of gas-dynamic quantities together with computational meshes of various granularity and parameters of the computational model. Additional information to each element of the database might be a set of variables, parameterizing the geometry of the vehicle, experimental data, etc. The probability of forming the information content of such a data-base using modern supercomputer systems is shown. The capabilities of the domestic supercomputer aerodynamic code NOISEtte are demonstrated in the field of multiparametric three-dimensional calculations of descent vehicles based on the numerical solution of the Navier --- Stokes equations on three-dimensional unstructured meshes
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Mavridou, Theodora, and Lambros Doulos. "Evaluation of Different Roof Types Concerning Daylight in Industrial Buildings during the Initial Design Phase: Methodology and Case Study." Buildings 9, no. 7 (July 15, 2019): 170. http://dx.doi.org/10.3390/buildings9070170.

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Used properly, daylight can provide visual comfort, reduce energy consumption and improve health and safety at work. This paper investigates the influence that different roof types, (i.e., sawtooth roof, skylight and monitor), have on daylight levels, along with the construction cost in an industrial environment in Athens, Greece. Construction costs and daylight adequacy/uniformity are antagonistic phenomena, since as the distance between the roof openings increases, the construction cost is minimised, while the daylight levels and the uniformity are reduced. Therefore, an optimisation method is proposed in order to find the optimum distance between the roof openings. The selected building is a representative unit of Greek industrial facilities, while the optimisation method is based upon a multiparametric approach. This consists of three (3) different roof opening arrangement types with different geometric characteristics. The daylight metrics used are the Daylight Area, the Daylight Factor, the Mean Daylight Autonomy, the Uniform Daylight Index and the Annual Sunlight Exposure. Overall, sawtooth roofs represent the best choice for daylight provision in industrial buildings at the examined geographic location. Using the aforementioned optimisation method, the optimum solution of distances between the roof openings ranges from 10 m to 13 m.
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Mujib, Shariq, Stephen Li, Nick Zabinyakov, and Christina Loh. "A single-tube, 44-marker CyTOF assay to assess antigen-specific immunity in whole blood human samples with data analysis solution." Journal of Immunology 206, no. 1_Supplement (May 1, 2021): 27.09. http://dx.doi.org/10.4049/jimmunol.206.supp.27.09.

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Abstract Monitoring the immune response in the setting of infectious disease and cancer is critical to assess disease status and targets of immune therapy. CyTOF® mass cytometry enables multiplex cellular phenotyping with more than 50 markers, making it ideal for comprehensive immune profiling. CyTOF technology utilizes antibodies tagged with unique monoisotopic metals, resulting in distinct signals that provide a high-resolution multiparametric landscape of a single cell. The Maxpar® Direct™ Immune Profiling Assay™ is a pre-titrated, dried-down, 30-marker antibody cocktail for immune profiling of human whole blood and PBMC by CyTOF. Paired with Maxpar Pathsetter™ software, stained samples are automatically resolved into 37 immune populations including major lineages and their subsets. In this study, we expanded the 30-marker assay to a 44-marker panel including exhaustion markers such as PD-1 and CTLA-4, co-stimulation markers 4-1BB and ICOS, and intracellular cytoplasmic markers IFN-γ, TNF-α, IL-2, perforin and granzyme B to assess cellular function in PMA/ionomycin-stimulated whole blood cultures. We modified the existing Maxpar Pathsetter model to automate the analysis of the expanded panel and report on additional functional parameters such as T cell exhaustion and cytokine production. Next, we applied this panel to whole blood stimulated with CMV peptides to investigate antigen-specific immune responses in a viral infection model in concert with in-depth phenotypic assessment. Collectively, we demonstrate the flexibility of the Maxpar Direct Immune Profiling Assay to incorporate additional surface and intracellular markers to study antigen-specific immunity in the context of whole blood immune profiling. For RUO.
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Chesalin, Denis D., and Roman Y. Pishchalnikov. "Searching for a Unique Exciton Model of Photosynthetic Pigment–Protein Complexes: Photosystem II Reaction Center Study by Differential Evolution." Mathematics 10, no. 6 (March 17, 2022): 959. http://dx.doi.org/10.3390/math10060959.

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Studying the optical properties of photosynthetic pigment–protein complexes (PPCs) in the visible light range, both experimentally and theoretically, is one of the ways of gaining knowledge about the function of the photosynthetic machinery of living species. To simulate the PPC optical response, it is necessary to use semiclassical theories describing the effect of external fields–matter interaction, energy migration in molecular crystals, and electron–phonon coupling. In this paper, we report the results of photosystem II reaction center (PSIIRC) linear optical response simulations. Applying the multimode Brownian oscillator model and the theory of molecular excitons, we have demonstrated that the absorption, circular and linear dichroism, and steady-state fluorescence of PSIIRC can be accurately fitted with the help of differential evolution (DE), the multiparametric evolutionary optimization algorithm. To explore the effectiveness of DE, we used the simulated experimental data as the target functions instead of those actually measured. Only 2 of 10 DE strategies have shown the best performance of the optimization algorithm. With the best tuning parameters of DE/rand-to-best/1/exp strategy determined from the strategy tests, we found the exact solution for the PSIIRC exciton model and fitted the spectra with a reasonable convergence rate.
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Tran, Huy Gia, Long Ton-That, and Nguyen Gia Minh Thao. "Lagrange Multiplier-Based Optimization for Hybrid Energy Management System with Renewable Energy Sources and Electric Vehicles." Electronics 12, no. 21 (November 2, 2023): 4513. http://dx.doi.org/10.3390/electronics12214513.

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The issues of energy scarcity and environmental harm have become major priorities for both business and human progress. Hence, it is important and useful to focus on renewable energy research and efficient utilization of distributed energy sources (DERs). A microgrid (MG) is a self-managed system that encompasses these energy resources as well as interconnected consumers. It has the flexibility to function in both isolated and grid-connected configurations. This study aims to design an effective method of power management for a MG in the two operating modes. The proposed optimization model seeks to strike a balance between energy usage, protecting the life of batteries, and maximizing economic benefits for users in the MG, with consideration of the real-time electricity price and constraints of the power grid. Furthermore, in order to accurately account for the dynamic nature of not only the stationary battery banks used as the energy storage systems (ESS) but also the built-in batteries of electric vehicles (EVs), the model is presented as a multi-objective, multiparametric and constrained problem. The solution is proposed to be found using the Lagrange multiplier theory, which helps to achieve good performance with less computational burden. Lastly, simulation results from both the isolated and grid-connected modes also demonstrate the effectiveness of the designed method.
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Larionov, Hryhorii, Volodymyr Sapehin, Yuliia Zemliana, Viktor Khvorostian, and Sofiia Holovko. "Method of successive approximation in mathematical modelling of geotechnical mechanics problems." IOP Conference Series: Earth and Environmental Science 1348, no. 1 (May 1, 2024): 012076. http://dx.doi.org/10.1088/1755-1315/1348/1/012076.

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Abstract The purpose of this work was to develop a mathematical model by the results of mathematical modeling of the problem of loading a circular cross-sectional roadway under the action of hydrostatic pressure. Instead of finite element method, it proposed to solve this problem by method of successive approximation, which assumes finding a solution in vicinity of one point in the domain of definition in a multiplicative form where the product functions are one-dimensional functions of parameters. Such representation advantageously differs from classical representation of approximation results by visualization and convenience and by possibility to investigate function sensitivity to the parameter variation. The obtained model provides errors of 5-7%. The results of qualitative comparison of volumetric functions of the tangential stress intensity obtained by the successive approximation method with the representation of numerical results of solving the chosen classical problem presented. Mathematical models of the tangential stresses intensity function in vicinity of a roadway in analytical form are obtained. It is proposed to use this method for representing mathematical models in analytical form and determining function sensitivity to the parameter variation in the problems of geotechnical mechanics. The effectiveness of the method increases when analyzing results of multiparametric problems.
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Poláková, Ingrid, Ondřej Pelák, Daniel Thürner, Barbora Pokrývková, Ruth Tachezy, Tomáš Kalina, and Michal Šmahel. "Implementation of Mass Cytometry for Immunoprofiling of Patients with Solid Tumors." Journal of Immunology Research 2019 (February 11, 2019): 1–10. http://dx.doi.org/10.1155/2019/6705949.

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Monitoring immune responses to solid cancers may be a better prognostic tool than conventional staging criteria, and it can also serve as an important criterion for the selection of individualized therapy. Multiparametric phenotyping by mass cytometry extended possibilities for immunoprofiling. However, careful optimization of each step of such method is necessary for obtaining reliable results. Also, with respect to procedure length and costs, sample preparation, staining, and storage should be optimized. Here, we designed a panel of 31 antibodies which allows for identification of several subpopulations of lymphoid and myeloid cells in a solid tumor and peripheral blood simultaneously. For sample preparation, disaggregation of tumor tissue with two different collagenases combined with DNase I was compared, and removal of dead or tumor cells by magnetic separation was evaluated. Two possible procedures of barcoding for single-tube staining of several samples were examined. While the palladium-based barcoding affected the stability of several antigens, the staining with two differently labeled CD45 antibodies was suitable for cells isolated from a patient’s blood and tumor. The storage of samples in the intercalation solution for up to two weeks did not influence results of the analysis, which allowed the measurement of samples collected within this interval on the same day. This procedure optimized on samples from patients with head and neck squamous cell carcinoma enabled identification of various immune cells including rare subpopulations.
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Ruiz del Agua, A., R. El Hamss, M. Moneo, M. B. Ruiz-Argüello, and D. Nagore. "AB0370 COMPARISON OF A NEW RANDOM-ACCESS SOLUTION FOR THERAPEUTIC DRUG MONITORING OF ADALIMUMAB TO THE REFERENCE ELISA TEST." Annals of the Rheumatic Diseases 81, Suppl 1 (May 23, 2022): 1312.1–1312. http://dx.doi.org/10.1136/annrheumdis-2022-eular.4642.

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BackgroundDespite numerous studies, Therapeutic Drug Monitoring (TDM) of biological therapies is still debated partly motivated by the accessibility to a ready-to-use monotest device capable of delivering accurate results in a timely manner without the burden of sample batching, therefore allowing immediate decision making.ObjectivesWe aimed at comparing the new Chorus Promonitor Adalimumab monotest running in the fully automated random-access Chorus TRIO system to the reference ELISA test Promonitor ADL run in a Triturus system.MethodsChorus Promonitor Adalimumab (Diesse Diagnostica Danese, Italy) is an immunoassay kit for the automated quantitative detection of adalimumab (ADL) in human serum using a ready-to-use disposable monotest device applied on the Chorus TRIO (Diesse Diagnostica Danese, Italy) instrument, a random-access single test multiparametric system for immuno-colorimetric assays. The new device implements the same specific reagents as in the reference ELISA test Promonitor ADL (Progenika, Spain) run in a Triturus (Grifols, Spain) system, therefore ensuring the same analytical specificity and applicability for patient monitoring previously demonstrated with the predicate ELISA. The new monotest device contains all the reagents necessary to perform the assay, and a lot-specific master curve method is used for calibrating. The comparison was performed in a set of 53 serum samples from patients under ADL therapy that covered the entire drug trough concentrations found in clinical practice (up to 30 ug/mL). Pearson’s correlation, Bland-Altman and Passing-Bablok regression analysis were used to study the association and quantitative comparison between the methods.ResultsTime to first result for the Chorus Promonitor Adalimumab test was 2 hours and 45 min minutes and after this a new result was delivered every 30 seconds. Positive and negative percent agreements between both tests were 100%. A high correlation between both tests was found (coefficient of correlation of 0.959, p<0.01). The Passing-Bablok regression analysis determined an excellent comparability of both data sets with a slope of 1.032 (0.952-1.129) with an intercept of -0.428 (-1.292-0.053).Figure 1.ConclusionThe Chorus Promonitor Adalimumab represents the first evolution of the gold-standard Promonitor ELISA technology into a monotest random-access technology that enables quick turnaround time to facilitate TDM for ADL and aid immediate decision making.Disclosure of InterestsNone declared
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Zhang, Youzhi, and Bo An. "Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (April 3, 2020): 2318–25. http://dx.doi.org/10.1609/aaai.v34i02.5610.

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The study of finding the equilibrium for multiplayer games is challenging. This paper focuses on computing Team-Maxmin Equilibria (TMEs) in zero-sum multiplayer Extensive-Form Games (EFGs), which describes the optimal strategies for a team of players who share the same goal but they take actions independently against an adversary. TMEs can capture many realistic scenarios, including: 1) a team of players play against a target player in poker games; and 2) defense resources schedule and patrol independently in security games. However, the study of efficiently finding TMEs within any given accuracy in EFGs is almost completely unexplored. To fill this gap, we first study the inefficiency caused by computing the equilibrium where team players correlate their strategies and then transforming it into the mixed strategy profile of the team and show that this inefficiency can be arbitrarily large. Second, to efficiently solve the non-convex program for finding TMEs directly, we develop the Associated Recursive Asynchronous Multiparametric Disaggregation Technique (ARAMDT) to approximate multilinear terms in the program with two novel techniques: 1) an asynchronous precision method to reduce the number of constraints and variables for approximation by using different precision levels to approximate these terms; and 2) an associated constraint method to reduce the feasible solution space of the mixed-integer linear program resulting from ARAMDT by exploiting the relation between these terms. Third, we develop a novel iterative algorithm to efficiently compute TMEs within any given accuracy based on ARAMDT. Our algorithm is orders of magnitude faster than baselines in the experimental evaluation.
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Zuniga, Nelson Ricardo Coelho Flores, Fernando Brenha Ribeiro, and Viatcheslav Ivanovich Priimenko. "COMPARISON OF L2- AND L1-NORM TO PERFORM THE INVERSION OF TRAVEL-TIME CURVES USING NONHYPERBOLIC MULTIPARAMETRIC APPROXIMATIONS WITH UNIMODAL AND MULTIMODAL BEHAVIOR." Brazilian Journal of Geophysics 37, no. 3 (October 7, 2019): 291. http://dx.doi.org/10.22564/rbgf.v37i3.2008.

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ABSTRACT. Many nonhyperbolic multiparametric travel-time approximations were developed in the last decades. As the seismic inversion became more popular, there were studies concerning the objective function of this kind of equations. Many of these approximations have a unimodal behavior where there is only the global minimum region while others have a multimodal statistical distribution with the global minimum region and one or more local minimum regions. However, two approximations showed both unimodal and multimodal behaviors to vary depending on the model. As the variation of the model generates only subtle distortions concerning the topology of the objective function, a method which can make this topology more abrupt is a solution to perform a more effective inversion. This kind of information can be reached using the L1-norm rather than the L2-norm, and with the comparison of the two norms for both reflection events (PP and PS) of the model and both approximations, it is possible to understand which kind of improvement it brings concerning the complexity and accuracy analysis.Keywords: objective function, nonhyperbolicity, probability distribution.RESUMO. Várias aproximações não-hiperbólicas multiparamétricas de tempos de trânsito foram desenvolvidas nas últimas décadas. Com a inversão sísmica se tornando cada vez mais popular, houve estudos relacionados à função objetivo desse tipo de equação. Muitas dessas aproximações apresentam um comportamento unimodal, onde há apenas uma região de mínimo global, enquanto outras apresentam uma distribuição estatística multimodal, com a região de mínimo global e uma ou mais regiões de mínimos locais. Entretanto, duas aproximações mostraram ambos os comportamentos, unimodal e multimodal, variando a depender do modelo. Como a variação do modelo gera apenas distorções sutis com relação à topologia da função objetivo, um método no qual é capaz de tornar a topologia mais abrupta é uma forma de realizar a inversão de maneira mais efetiva. Este tipo de informação pode ser obtido usando a norma L1 ao invés da norma L2, e com a comparação das duas normas para ambos os eventos de reflexão (PP e PS) do modelo e para ambas as aproximações, é possível entender qual tipo de melhoria é alcançada com relação à análise de complexidade e de precisão.Palavras-chave: função objetivo, não-hiperbolicidade, distribuição probabilística.
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Pokhabov, Yu P. "Problems of dependability and possible solutions in the context of unique highly vital systems design." Dependability 19, no. 1 (March 13, 2019): 10–17. http://dx.doi.org/10.21683/1729-2646-2019-19-1-10-17.

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Aim. The paper examines the problems caused by the conventional interpretation of dependability that prevent the practical use of dependability analysis (assessment) as a tool for engineers involved in the creation of unique highly vital systems and substantiates proposals for their resolution. Methods. The paper analyzes the problem of quantitative estimation of the dependability of unique highly vital systems without the use of probability statistical models. The view of dependability as a physical property of a product (as a result of changes in its internal state) allows at the physical level ensuring lasting capability to fulfil the required functions and quantitatively estimating the criteria of the required functions’ performance, that can be defined by, for instance, specifying a set of parameters for each function that characterize the capability to perform, as well as the permissible limits of such parameters’ variation. Such approach causes the requirement to take the origin of dependability into consideration and examine the causes of unlikely failures that are to be identified by means of additional analysis in parallel with calculations and experiments performed to support dependability. The solution to the problems of fuzzy terminology allows revealing the interrelation between the quality and the dependability, thus enabling using the single information basis of design and process engineering solutions the analysis, synthesis and assessment of the dependability of unique highly vital systems based on performance parameters without the use of probabilistic statistical models. Results. The solution of the above dependability-related problems allows ensuring dependability based on the physicality (causal connections) and physical necessity (consistency with the laws of nature) of the causes of failures. The dependability of unique highly vital systems must be ensured from the very early lifecycle stages based on consecutive execution of certain design, process engineering and manufacturing procedures, as well as application of engineering and design analysis of dependability, which also allows solving problems indirectly related to dependability, e.g. improving the quality and reducing the cost of the manufactured products. Conciusions. The paper shows that the application of design engineering methods for the dependability analysis (assessment) allows within the framework of existing views, yet with certain corrections solving dependability-related problems without the use of the mathematics of the classic dependability theory. High dependability can be achieved by the same ways as undependability comes about, i.e. through design and process engineering solutions. The analysis, substantiation of engineering solutions and specification of necessary and sufficient requirements for the manufacturing process allows achieving the target dependability by engineering means through higher quality of design and process engineering. If we regard dependability as a multiparametric property, parametric models of products can be developed that enable the evaluation of the temporal stability of parameter values using methods of individual design dependability and/or design engineering analysis of dependability. The principles of unity of the design concept and its implementation in manufacture enables the development of products and assessment of their dependability based on a single foundation, i.e. the design and process engineering solutions directly associated with the capabilities of a specific manufacturing facility.
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Faiella, Eliodoro, Daniele Vertulli, Francesco Esperto, Ermanno Cordelli, Paolo Soda, Rosa Maria Muraca, Lorenzo Paolo Moramarco, Rosario Francesco Grasso, Bruno Beomonte Zobel, and Domiziana Santucci. "Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study." Tomography 8, no. 4 (August 13, 2022): 2010–19. http://dx.doi.org/10.3390/tomography8040168.

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Background: To evaluate the clinical utility of an Artificial Intelligence (AI) radiology solution, Quantib Prostate, for prostate cancer (PCa) lesions detection on multiparametric Magnetic Resonance Images (mpMRI). Methods: Prostate mpMRI exams of 108 patients were retrospectively studied. The diagnostic performance of an expert radiologist (>8 years of experience) and of an inexperienced radiologist aided by Quantib software were compared. Three groups of patients were assessed: patients with positive mpMRI, positive target biopsy, and/or at least one positive random biopsy (group A, 73 patients); patients with positive mpMRI and a negative biopsy (group B, 14 patients), and patients with negative mpMRI who did not undergo biopsy (group-C, 21 patients). Results: In group A, the AI-assisted radiologist found new lesions with positive biopsy correlation, increasing the diagnostic PCa performance when compared with the expert radiologist, reaching an SE of 92.3% and a PPV of 90.1% (vs. 71.7% and 84.4%). In group A, the expert radiologist found 96 lesions on 73 mpMRI exams (17.7% PIRADS3, 56.3% PIRADS4, and 26% PIRADS5). The AI-assisted radiologist found 121 lesions (0.8% PIRADS3, 53.7% PIRADS4, and 45.5% PIRADS5). At biopsy, 33.9% of the lesions were ISUP1, 31.4% were ISUP2, 22% were ISUP3, 10.2% were ISUP4, and 2.5% were ISUP5. In group B, where biopsies were negative, the AI-assisted radiologist excluded three lesions but confirmed all the others. In group-C, the AI-assisted radiologist found 37 new lesions, most of them PIRADS 3, with 32.4% localized in the peripherical zone and 67.6% in the transition zone. Conclusions: Quantib software is a very sensitive tool to use specifically in high-risk patients (high PIRADS and high Gleason score).
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Filyk, Olha. "PERSONALIZED INTENSIVE CARE OF CARDIOVASCULAR DISORDERS IN CHILDREN WITH RESPIRATORY FAILURE." Ukrainian Scientific Medical Youth Journal 117, no. 3 (September 7, 2020): 46–57. http://dx.doi.org/10.32345/usmyj.3(117).2020.46-57.

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This article presents data on the frequency of incidence and duration of cardiovascular dysfunction in children with acute respiratory failure. The information on expediency of carrying out of personalized hemodynamic management in case of its insufficiency with use of multiparametric approach to estimate haemodynamic data are presented. The aim of the study was to compare the effectiveness of the standard approach and proposed by us additions to treatment of haemodynamic disorders in children with respiratory failure. It was summarized from the literature reviews that the presence and maintenance of patient`s spontaneous breathing pattern with use of non-invasive estimated cardiovascular monitoring, evaluation of preload with ultrasonography and reassessment of rate and volume of fluid replacement with taking into account solution`s composition might improve treatment results in children with acute respiratory failure. We conducted a prospective single-center non-interventional cohort study in children with acute respiratory failure 1 month - 18 years old. Patients were randomly divided into I and II groups. The data analysis included 43 patients of group I, who received conventional for this intensive care unit monitoring and treatment and 53 patients of group II, in whom we took into account the results of multiparametric monitoring during the correction of hemodynamics.Monitoring of hemodynamics included heart rate, non-invasive systolic, diastolic and mean blood pressure capillary refill time and presence of peripheral arteries pulsation with clinical verification of "warm" or "cold" shock, ScvO2 and lactate levels in the central venous blood; non-invasive estimated monitoring of stroke volume, cardiac output, cardiac index, stroke index using the esCCO technology, NIHON COHDEN (Japan) and the ratio of inferior vena cava diameter at inspiration and exhalation. Hemodynamic support in groups I and II included early goal-directad therapy, individualized and personalized treatment. In II group of patients there were taken into account the dynamics of changes of non-invasive esCCO data about stroke volume, cardiac output, cardiac index and stroke index, cumulative hydrobalance and the ratio of the of inferior vena cava diameter at inspiration and exhalation. Early goal-directed therapy was aimed to (supra) normalize of blood flow and was based on normal hemodynamic data for population, according to percentiles for specific age groups of patients. Individualized hemodynamic therapy included functional hemodynamic monitoring with assessment of to volemic therapy answer, individualization of target points and maximization of blood flow. Personalized hemodynamic management consisted of applying an adaptive multiparametric approach to hemodynamic assessment. Spontaneous diaphragmatic activity was maintained along all time of mechanical ventilation. The primary endpoint was 28-day mortality rate; secondary endpoints were the duration of cardiovascular dysfunction and the duration of intensive care unit stay. To assess age-dependent data, patients were divided into age subgroups: 1st subgroup - children 1 month - 1 year old; 2nd subgroup - children 1 - 3 years old; 3rd subgroup - children 3 - 6 years old; 4th subgroup - children 6 - 12 years old; 5th subgroup - children 12 - 18 years old. It was determined that the level of 28-day mortality was: in 1st age subgroup - 18.2% in group I and 3.1% in group II (p = 0.02), in the 2nd age subgroup - 11.1% and 0%, respectively (p = 0.11); in the 4th age subgroup - 10% and 0%, respectively (p = 0.28); in the 3rd and 5th age subgroups - was 0% in I and II groups. The prevalence of hemodynamic disorders was: in 1st age subgroup in patients of group I - 100%, while in group II - 62.5% (p = 0.001); in 2nd age subgroup - 55.6% in patients from group I and 42.9% in patients from group II (p = 0.05); in 3rd age subgroup in 100% of patients of group II and only in 75% of patients of group I (p = 0.02). In the 4th age subgroup no significant differences were found between I (30% of patients) and II groups (25% of patients), p = 0.28; in 5th age subgroup the frequency of cardiovascular dysfunction was 40% in group I, compared with 75% in group II (p = 0.008). It was found that duration of hemodynamic insufficiency was longer in patients of 1st and 4th age subgroups, and relatively shorter in patients of 5th age subgroup: in the 1st age subgroup it was 7.6 ± 0.5 days in group I and 8.8 ± 0.9 days in group II (p> 0.05); in 4th age subgroup - 6.7 ± 0.4 days in group I and 10.1 ± 1.2 days in group II (p> 0.05), while in 5th age subgroup - 4.1 ± 0.3 days in group I and 4.7 ± 0.5 days in group II (p> 0.05). We found that there were significant differences in the duration of stay in intensive care unit among patients of the 1st and 5th age subgroups. Specifically, in 1st age subgroup this indicator was in 1.3 times less in group II, compared with group I (p <0.05); in 5th age subgroup the situation was the opposite- the duration of intensive care unit stay in group II was in 1.4 times more in group I (p <0.05). Thus, obtained data demonstrated the results of the use of personalized management of hemodynamic disorders in children with acute respiratory failure. The use of a multiparametric approach to hemodynamic assessment in clinical practice may allow more differentiated use of volume replacement therapy as loop diuretics and will have a beneficial effect on the final clinical outcomes in patients with acute respiratory failure.
50

Filyk, Olha. "PERSONALIZED INTENSIVE CARE OF CARDIOVASCULAR DISORDERS IN CHILDREN WITH RESPIRATORY FAILURE." Ukrainian Scientific Medical Youth Journal 117, no. 3 (July 7, 2020): 46–58. http://dx.doi.org/10.32345/usmyj.3(117).2020.46-58.

Full text
APA, Harvard, Vancouver, ISO, and other styles
Abstract:
This article presents data on the frequency of incidence and duration of cardiovascular dysfunction in children with acute respiratory failure. The information on expediency of carrying out of personalized hemodynamic management in case of its insufficiency with use of multiparametric approach to estimate haemodynamic data are presented. The aim of the study was to compare the effectiveness of the standard approach and proposed by us additions to treatment of haemodynamic disorders in children with respiratory failure. It was summarized from the literature reviews that the presence and maintenance of patient`s spontaneous breathing pattern with use of non-invasive estimated cardiovascular monitoring, evaluation of preload with ultrasonography and reassessment of rate and volume of fluid replacement with taking into account solution`s composition might improve treatment results in children with acute respiratory failure. We conducted a prospective single-center non-interventional cohort study in children with acute respiratory failure 1 month - 18 years old. Patients were randomly divided into I and II groups. The data analysis included 43 patients of group I, who received conventional for this intensive care unit monitoring and treatment and 53 patients of group II, in whom we took into account the results of multiparametric monitoring during the correction of hemodynamics.Monitoring of hemodynamics included heart rate, non-invasive systolic, diastolic and mean blood pressure capillary refill time and presence of peripheral arteries pulsation with clinical verification of "warm" or "cold" shock, ScvO2 and lactate levels in the central venous blood; non-invasive estimated monitoring of stroke volume, cardiac output, cardiac index, stroke index using the esCCO technology, NIHON COHDEN (Japan) and the ratio of inferior vena cava diameter at inspiration and exhalation. Hemodynamic support in groups I and II included early goal-directad therapy, individualized and personalized treatment. In II group of patients there were taken into account the dynamics of changes of non-invasive esCCO data about stroke volume, cardiac output, cardiac index and stroke index, cumulative hydrobalance and the ratio of the of inferior vena cava diameter at inspiration and exhalation. Early goal-directed therapy was aimed to (supra) normalize of blood flow and was based on normal hemodynamic data for population, according to percentiles for specific age groups of patients. Individualized hemodynamic therapy included functional hemodynamic monitoring with assessment of to volemic therapy answer, individualization of target points and maximization of blood flow. Personalized hemodynamic management consisted of applying an adaptive multiparametric approach to hemodynamic assessment. Spontaneous diaphragmatic activity was maintained along all time of mechanical ventilation. The primary endpoint was 28-day mortality rate; secondary endpoints were the duration of cardiovascular dysfunction and the duration of intensive care unit stay. To assess age-dependent data, patients were divided into age subgroups: 1st subgroup - children 1 month - 1 year old; 2nd subgroup - children 1 - 3 years old; 3rd subgroup - children 3 - 6 years old; 4th subgroup - children 6 - 12 years old; 5th subgroup - children 12 - 18 years old. It was determined that the level of 28-day mortality was: in 1st age subgroup - 18.2% in group I and 3.1% in group II (p = 0.02), in the 2nd age subgroup - 11.1% and 0%, respectively (p = 0.11); in the 4th age subgroup - 10% and 0%, respectively (p = 0.28); in the 3rd and 5th age subgroups - was 0% in I and II groups. The prevalence of hemodynamic disorders was: in 1st age subgroup in patients of group I - 100%, while in group II - 62.5% (p = 0.001); in 2nd age subgroup - 55.6% in patients from group I and 42.9% in patients from group II (p = 0.05); in 3rd age subgroup in 100% of patients of group II and only in 75% of patients of group I (p = 0.02). In the 4th age subgroup no significant differences were found between I (30% of patients) and II groups (25% of patients), p = 0.28; in 5th age subgroup the frequency of cardiovascular dysfunction was 40% in group I, compared with 75% in group II (p = 0.008). It was found that duration of hemodynamic insufficiency was longer in patients of 1st and 4th age subgroups, and relatively shorter in patients of 5th age subgroup: in the 1st age subgroup it was 7.6 ± 0.5 days in group I and 8.8 ± 0.9 days in group II (p> 0.05); in 4th age subgroup - 6.7 ± 0.4 days in group I and 10.1 ± 1.2 days in group II (p> 0.05), while in 5th age subgroup - 4.1 ± 0.3 days in group I and 4.7 ± 0.5 days in group II (p> 0.05). We found that there were significant differences in the duration of stay in intensive care unit among patients of the 1st and 5th age subgroups. Specifically, in 1st age subgroup this indicator was in 1.3 times less in group II, compared with group I (p <0.05); in 5th age subgroup the situation was the opposite- the duration of intensive care unit stay in group II was in 1.4 times more in group I (p <0.05). Thus, obtained data demonstrated the results of the use of personalized management of hemodynamic disorders in children with acute respiratory failure. The use of a multiparametric approach to hemodynamic assessment in clinical practice may allow more differentiated use of volume replacement therapy as loop diuretics and will have a beneficial effect on the final clinical outcomes in patients with acute respiratory failure.

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