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Journal articles on the topic 'Multiparametric Solution'

Author: Grafiati

Published: 7 July 2024

Last updated: 31 July 2025

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1

Houghtaling, Jared, and Michael Mayer. "Multiparametric Characterization of Single, Unlabeled Proteins in Solution." Biophysical Journal 112, no. 3 (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 (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 extensio

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Shevchenko, V., A. Minko, and Vladimir Stoychev. "Proposals for the Multiparametric Design Application in Electrical Mechanical Engineering." Problems of the Regional Energetics, no. 4(64) (November 2024): 135–49. https://doi.org/10.52254/1857-0070.2024.4-64.12.

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The aim of the work is to obtain practical results for the electrical machines multiparametric design application, to conduct a comparative analysis of the parametric and multiparametric design re-sults of a turbogenerator and its elements when the load changes; to confirm the prospects the multipar-ametric design application. Currently, it is possible to use mathematical models when designing, and use parametric synthesis to optimize one specific parameter, which in certain cases turns out to be suf-ficient. The peculiarity of electric machines calculation and design is the necessity of simul

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Żur, Krzysztof, and Piotr Jankowski. "Multiparametric Analytical Solution for the Eigenvalue Problem of FGM Porous Circular Plates." Symmetry 11, no. 3 (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 por

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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 (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 (2018): 1700477. http://dx.doi.org/10.1002/aelm.201700477.

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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 (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 i

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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 (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 multiparam

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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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Varga, Rok, Bojan Žlender, and Primož Jelušič. "Multiparametric Analysis of a Gravity Retaining Wall." Applied Sciences 11, no. 13 (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 diffe

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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 formulat

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Hakula, Harri, and Mikael Laaksonen. "Subspace Reduction for Stochastic Planar Elasticity." Applied Mechanics 3, no. 1 (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. Wha

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Stovas, Alexey, Nabil Masmoudi, and Tariq Alkhalifah. "Application of perturbation theory to a P-wave eikonal equation in orthorhombic media." GEOPHYSICS 81, no. 6 (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

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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 (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

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Yang, Qingqing, Qian Ma, Kate M. Herum, et al. "Array atomic force microscopy for real-time multiparametric analysis." Proceedings of the National Academy of Sciences 116, no. 13 (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 dis

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17

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 (2014): 527–43. http://dx.doi.org/10.1007/s10898-014-0143-9.

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18

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 (2012): 483–95. http://dx.doi.org/10.1002/aic.13838.

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19

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

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Cruz-Mata, Cindy-Noely, Roberto-Carlos Martinez-Montejano, Marissa Robles-Martínez, Germánico González-Badillo, and José-Jimmy Jaime-Rodríguez. "Multiparametric Sensor to Measure Water Quality Parameters Using Internet of Things." Revista Facultad de Ingeniería 33, no. 69 (2024): e17385. https://doi.org/10.19053/uptc.01211129.v33.n69.2024.17385.

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This study introduces an innovative water quality monitoring system capable of simultaneously measuring six essential parameters (total dissolved solids, oxidation-reduction potential, dissolved oxygen, temperature, pH, and electrical conductivity) by incorporating the Internet of Things technology. Therefore, it is an advanced tool for water resource management. Unlike conventional multiparameter sensors, which are often limited in their storage capacity and number of parameters, our device automatically stores data in Firebase, thus ensuring secure, accessible, and scalable real-time informa

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Derzhavets, L. A., S. A. Krasny, T. A. Letkovskaya, et al. "EARLY DIAGNOSIS OF PROSTATE CANCER WITH THE USE OF ULTRASOUND SHEAR WAVE ELASTOGRAPHY." Vestnik of Vitebsk State Medical University 20, no. 6 (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 wa

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22

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 (2012): 8095–107. http://dx.doi.org/10.1021/ie201408p.

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23

Simonov, K. V., V. V. Kuimov, M. V. Kobalinsky, et al. "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 inter

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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 (2018): 1870047. http://dx.doi.org/10.1002/aelm.201870047.

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Domingues, Cátia, Ivana Jarak, Carla Varela, 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 (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 intermedi

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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 (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

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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 (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 Organi

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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 (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

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Matteucci, Andrea, Carlo Pignalberi, Stefania Di Fusco, et al. "Appropriate use of wearable defibrillators with multiparametric evaluation to avoid unnecessary defibrillator implantation." Open Heart 11, no. 2 (2024): e002787. http://dx.doi.org/10.1136/openhrt-2024-002787.

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IntroductionWearable cardioverter-defibrillators (WCD) have emerged as a valuable tool in the management of patients at risk for life-threatening arrhythmias. These devices offer a non-invasive and temporary solution, providing continuous monitoring and the potential for prompt defibrillation when needed. In this study, we explore the use of WCD and evaluate arrhythmic events through comprehensive monitoring.MethodsFrom November 2022 to May 2024, we conducted an outpatient follow-up of 41 patients receiving WCD. Regular check-ups, remote monitoring and comprehensive echocardiography were perfo

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Sapronov, Ivan. "Volterra integral equation in Banach space." Modeling of systems and processes 16, no. 3 (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 bio

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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 an

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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 (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 prim

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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 (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 m

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Low, Gavin, Ryan K. W. Chee, Yu Jun Wong, et al. "Abbreviated Multiparametric MR Solution (the “Liver Triple Screen”), the Future of Non-Invasive MR Quantification of Liver Fat, Iron, and Fibrosis." Diagnostics 14, no. 21 (2024): 2373. http://dx.doi.org/10.3390/diagnostics14212373.

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Background/Objectives: To review the findings of a multiparametric MRI (the “liver triple screen”) solution for the non-invasive assessment of liver fat, iron, and fibrosis in patients with chronic liver disease (CLD). Methods: A retrospective evaluation of all consecutive triple screen MRI cases was performed at our institution over the last 32 months. Relevant clinical, laboratory, and radiologic data were analyzed using descriptive statistics. Results: There were 268 patients, including 162 (60.4%) males and 106 (39.6%) females. The mean age was 54 ± 15.2 years (range 16 to 71 years). The m

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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 sp

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Corradini, Daniele, Leonardo Brizi, Caterina Gaudiano, et al. "Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data." Cancers 13, no. 16 (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

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Andreev, Sergey V., Sergey A. Zverev, Ilya A. Zamilatskov, et al. "Polymeric structure of a coproporphyrin I ruthenium(II) complex: a powder diffraction study." Acta Crystallographica Section C Structural Chemistry 73, no. 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 copro

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Pesapane, Filippo, Adriana Sorce, Ottavia Battaglia, et al. "Contrast Agents in Breast MRI: State of the Art and Future Perspectives." Biomedicines 13, no. 4 (2025): 829. https://doi.org/10.3390/biomedicines13040829.

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Contrast-enhanced magnetic resonance imaging (CE-MRI) has become an essential modality in breast cancer diagnosis and management. It is particularly used for locoregional staging, high-risk screening, monitoring treatment response, and assessing complications related to breast implants. The integration of gadolinium-based contrast agents (GBCAs) enhances the sensitivity and specificity of CE-MRI by providing detailed morphological and functional insights, particularly highlighting tumor neoangiogenesis. Despite its advantages, CE-MRI faces challenges such as high costs, limited accessibility,

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Debia, Natalí P., Juan J. P. Rodríguez, Carolina H. da Silveira, et al. "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 (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 geomet

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Deepa Telang. "Design of an Ensemble learning Model for improving Concrete Strength prediction efficiency of RC Structures via Multiparametric Analysis. (EMSRSMA)." Journal of Information Systems Engineering and Management 10, no. 52s (2025): 549–62. https://doi.org/10.52783/jisem.v10i52s.10742.

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Prediction of Concrete Strength for reinforced concrete (RC) structures is a multimodal task that involves processing of a wide variety of strength parameter sets. Existing prediction models either showcase low efficiency or cannot be scaled for heterogenous construction sites. To overcome these issues, this paper proposes an ensemble learning model to improve the efficiency of evaluating concrete compressive strength using multiparametric analysis. The model combines multiple algorithms, including Naïve Bayes (NB), Multilayer Perceptron (MLP), k Nearest Neighbours (kNN),Support Vector Machine

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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 (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 sim

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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

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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 (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

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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 (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 profilin

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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 (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

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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 (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 see

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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 (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 result

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Marzhan, Yesmagambetova, Keribayeva Talshyn, Koshekov Kairat, Belginova Saule, Alibekkyzy Karlygash, and Ospanov Yerbol. "Smart technologies of the risk-management and decisionmaking systems in a fuzzy data environment." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 3 (2022): 1463–74. https://doi.org/10.11591/ijeecs.v28.i3.pp1463-1474.

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The purpose of this article is to provide a methodology for calculating and predicting the quality of solution implementation in complicated multiparametric organizational and technological challenges with control agent uncertainty. The article's study findings are centered on the practical application of formal methods in predicting the outcomes of control and decision-making risks under the uncertainty of model agents. The proposed mathematics and simulation applications use a multi-agent strategy to handle the general problem of assessing quality control based on "producer risk (pr

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Zapata, Ana, Claudio Iván Serra Aguado, José Ignacio Redondo, José Román Soto Muñoz, José Sansano-Maestre, and Rocío Fernández-Parra. "Cardiovascular Effects of Adding Adrenaline to Arthroscopic Knee Irrigation Fluid in Canine Diagnostic Procedures." Animals 15, no. 11 (2025): 1544. https://doi.org/10.3390/ani15111544.

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Background: Adrenaline is used as a local haemostatic in human arthroscopy, due to its peripheral vasoconstrictive properties, which enhance image quality with minimal cardiovascular side effects. This study aims to evaluate the effects of adrenaline in arthroscopic irrigation fluid and asses its impact on image visibility. Methods: A prospective, double-blind, randomised clinical trial was conducted on 20 knees from 18 dogs undergoing diagnostic arthroscopies. Dogs were randomly assigned to two groups: group A (received lactate Ringer (LR) with adrenaline 0.33 mg L−1) and group C (received LR

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