Melatonin in Tuberous Sclerosis Complex Analysis Using Modern Mathematical Modeling Methods by Justyna Paprocka, Marek Kijonka, Łukasz Boguszewicz, Maria Sokół

“…To describe the diurnal melatonin secretion, mathematical model was constructed and nonlinear least squares method with the Levenberg-Marquardt optimization algorithm was applied to approximate its parameters. …”
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Single cell suppression profiling of human regulatory T cells by Jonas Nørskov Søndergaard, Janyerkye Tulyeu, David Priest, Shimon Sakaguchi, James B. Wing

“…To overcome this limitation, we here develop ‘single cell suppression profiling of human Tregs’ (scSPOT). scSPOT uses a 52-marker CyTOF panel, a cell division detection algorithm, and a whole PBMC system to assess the effect of Tregs on all other cell types simultaneously. …”
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Data-Driven Machine-Learning Model in District Heating System for Heat Load Prediction: A Comparison Study by Fisnik Dalipi, Sule Yildirim Yayilgan, Alemayehu Gebremedhin

“…In order to determine which algorithm had the best accuracy, we conducted performance comparison among these ML algorithms. …”
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Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma

“…In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine (LSSVM) and differential search algorithms. Two LSSVM models are directly implemented to generate the interval of future displacements, and the optimal model parameters are derived by the differential search algorithm. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…This paper presents the implementation and quantitative evaluation of a multiphase three-dimensional deformable model in a level set framework for automated segmentation of brain MRIs. The segmentation algorithm performs an optimal partitioning of three-dimensional data based on homogeneity measures that naturally evolves to the extraction of different tissue types in the brain. …”
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Hydraulic Fracturing Mechanism of Rock Mass under Stress-Damage-Seepage Coupling Effect by Zhengzheng Cao, Yue Wang, Haixiao Lin, Qiang Sun, Xiaogang Wu, Xiaoshuai Yang

“…Based on the theory of elasticity and Weibull distribution, the statistical damage constitutive model of rock mass and the finite element numerical algorithm are established, by adopting the COMSOL Multiphysics numerical software and MATLAB program. …”
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The Reduced-Order Model for Droplet Drift of Aerial Spraying under Random Lateral Wind by Wencheng Li, Wenyun Wang, Xiaomao Huang, Chenyang Li

“…Based on the input and output dataset of CFD, the recursive algorithm including nonlinear autoregressive exogenous model and surrogate-based recurrence framework and the deep learning method for time-series prediction called long short-term memory neural network are used to build the efficient reduced-order model, respectively. …”
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Study on Automotive Back Door Panel Injection Molding Process Simulation and Process Parameter Optimization by Guoqing Wang, Youmin Wang, Deyu Yang

“…For a single evaluation index warpage, least squares method and artificial fish swarm algorithm are used to find the optimal parameter combination. …”
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Very Fast and Accurate Procedure for the Characterization of Photovoltaic Panels from Datasheet Information by Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, Salvatore Coco

“…Validations on thousands of photovoltaic panels are presented that show how it is possible to make easy and efficient the extraction process of the five parameters, without taking care of choosing a specific solver algorithm but simply by using any deterministic optimization/minimization technique.…”
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Damage Detection and Localization from Dense Network of Strain Sensors by Simon Laflamme, Liang Cao, Eleni Chatzi, Filippo Ubertini

“…A wind turbine blade is adopted as a case study, and numerical simulations demonstrate the effectiveness of a data-driven algorithm relying on distributed strain data in evidencing the presence and location of damage, and sequentially ranking its severity. …”
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Incoherent Integration Detection Method of Airborne Phased Array Radar in a Multipath Environment by Yili Hu, Yongbo Zhao, Sheng Chen

“…Considering these two characteristics, this paper first proposes a target pairing algorithm for matching the DP range and multipath range of the same target in signal detection, and then, combined with the cell-averaging constant false alarm rate (CA-CFAR) detection model, an incoherent integration detection method for airborne PAR in the multipath environment is proposed. …”
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Hierarchical Matrices Method and Its Application in Electromagnetic Integral Equations by Han Guo, Jun Hu, Hanru Shao, Zaiping Nie

“…When applied in integral-equation- (IE-) based computational electromagnetics, H-matrices can be regarded as a fast algorithm; therefore, both the CPU time and memory requirement are reduced significantly. …”
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A Generalized Oblique Projection Filter with Flexible Parameter for Interference Suppression by Yi-ming Wang, Xing-peng Mao, Hong Hong, Jie Zhang, Yu-mei Cui

“…Theoretical analysis and numerical simulation demonstrate that when the ISC is derived from minimum variance distortionless response (MVDR) algorithm, the SINR performance of GOP filter is better than both MVDR and oblique projection (OP) filters. …”
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COG 11.3 New Features by Heinrichs David, Lent Edward, Lee Chuck

“…This paper describes the major new features available in COG 11.3 including: (a) updated nuclear data libraries; (b) updated activation data; (c) advanced LLNL Fission Reaction Event Yield Algorithm; (d) new time-tagged list-mode detector feature; (e) new spontaneous fission source feature; (f) new alpha and deuteron particle transport; (g) updated electron transport (implementing EGS5 with internal electron library generation using PEGS5); (h) three new estimators for the effective delayed neutron fraction; (i) new input pre-processor options for user-friendly generation of three-dimensional rectangular and triangular lattice geometries; (j) new parallel-processing capabilities for the inverse reactor period and CritDetVR features using MPI; (k) a new imaging detector feature; and (l) details of the modernized COG website at https://cog.llnl.gov. …”
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Investigation of combustion patterns in furnace type chemical reactor with non-stoichiometric combustion of fuel in the Ansys CFX software package by P. A. Batrakov, D. G. Mumladze

“…The paper presents the computational model, the initial conditions, and describes the calculation algorithm and the formation of the diffusion scheme. …”
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LINGUISTIC AND ACOUSTIC RESOURCES OF THE COMPUTER-BASED SYSTEM FOR ANALYSIS AND INTERPRETATION OF SPEECH INTONATION by Yu. A. Zdaranok

“…Presented work describes as well the algorithm of designing of the computer-based system for analysis and interpretation of speech intonation.…”
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Efficient Design of the Microstrip Reflectarray Antenna by Optimizing the Reflection Phase Curve by Xing Chen, Qiang Chen, Pan Feng, Kama Huang

“…The common optimization method that employs an optimization algorithm in conjunction with the full-wave simulation to optimize the antennas’ structural parameters is able to achieve better performances in comparison with the conventional method; but it is impractical for large-scale microstrip reflectarray antennas due to too many structural parameters from variable reflection elements. …”
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A Novel Steganography Technique for SDTV-H.264/AVC Encoded Video by Christian Di Laura, Diego Pajuelo, Guillermo Kemper

“…In this paper, a novel steganography technique designed for Standard Definition Digital Television (SDTV) H.264/AVC encoded video sequences is presented. The algorithm introduced here makes use of the compression properties of the Context Adaptive Variable Length Coding (CAVLC) entropy encoder to achieve a low complexity and real-time inserting method. …”
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The influence of prenatal environmental conditions on the weight of newborn domestic pigs by S. V. Nikitin, S. P. Knyazev, V. I. Ermolayev

“…The weight of newborn piglets in domestic pigs depends on the maternal environment. Using an original algorithm based on the comparison of the coefficients of correlation between the half-nests (the same average genotype and the same conditions of the embryonic environment) and the twin sockets (the same genotype, different conditions of the embryonic environment), it was possible to estimate the relative contribution of the various components to the weight of the newborn in the domestic pigs. …”
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Clinically relevant phenotypes in chronic rhinosinusitis by Jessica W. Grayson, Marina Cavada, Richard J. Harvey

“…Our aim with this review is discuss the clinical presentation, radiology, endoscopy, histopathology, and treatment algorithm of three different phenotypes of primary CRS: central compartment atopic disease, eosinophilic CRS, and non-eosinophilic CRS. …”
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