Deep learning biomarker of chronometric and biological ischemic stroke lesion age from unenhanced CT by Adam Marcus, Grant Mair, Liang Chen, Charles Hallett, Claudia Ghezzou Cuervas-Mons, Dylan Roi, Daniel Rueckert, Paul Bentley

“…Abstract Estimating progression of acute ischemic brain lesions – or biological lesion age - holds huge practical importance for hyperacute stroke management. The current best method for determining lesion age from non-contrast computerised tomography (NCCT), measures Relative Intensity (RI), termed Net Water Uptake (NWU). …”
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Oblique propagation of high-frequency electron-acoustic periodic waves in a nonthermal plasma by Haifa A. Alyousef, Daud Khan, Wilayat Khan, Muhammad Khalid, C. G. L. Tiofack, Samir A. El-Tantawy

“…The reductive perturbation method (RPM) is used to derive the Korteweg–de Vries (KdV) equation. …”
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A New Approach to Designing the S-Shaped Annular Duct for Industrial Centrifugal Compressor by Ivan Yurko, German Bondarenko

“…Numerical research was carried out for determination of pressure loss coefficients and velocity swirl angles using the software system ANSYS CFX. …”
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Recurrent relations for correlation functions by S.Sh. Kazhikenova, S.N. Shaltakov, D. Belomestny, B.R. Nussupdekov

“…Two-particle radial distribution functions are sufficient to determine the average values of physical parameters, in particular, the transfer coefficients of molten metals. …”
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Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model by Hui Zeng, Jinwei Zhu, Hanxi Lin, Junming Chen

“…The DEMATEL method is utilized to analyze the weight of influence relationships between indicators, while the Kano model determines importance coefficients for adjusting weights. …”
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Calculation of the Electrostatic Field in Non-Homogeneous Structures by Berzan V., Patsyuk V., Rybacova G., Porumb R., Postolache P.

“…The paper examines a new approach of the finite volume method in determining the distribution of the electric field in non-homogeneous structures. …”
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Sound radiation produced by a ship propeller by Eugeniusz KOZACZKA

“…Relations permitting calculation of acoustic pressure values produced by a ship propeller working under given conditions are also derived. The acoustic method for determining the coefficients characterizing the load variation of ship propeller blades working in a non-uniform liquid stream with stationary characteristics is also discussed. …”
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Efficient Prediction of Superlattice and Anomalous Miniband Topology from Quantum Geometry by Valentin Crépel, Jennifer Cano

“…In the absence of electronic interactions, our analysis provides a systematic rule to find the Chern number of the superlattice-induced miniband starting from the harmonics of the applied potential and a few material-specific coefficients. Our method also applies to anomalous (interaction-generated) bands, for which we derive an efficient algorithm to determine all Chern numbers compatible with a self-consistent solution to the Hartree-Fock equations. …”
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Convolutional neural network-assisted design and validation of terahertz metamaterial sensor by Shunrong Chen, Chunyue Zhao, Wei Wang, Songyuan Yang, Chengjiang Zhou

“…In the inverse design stage, a predictive model for estimating the size of the TMS was developed by applying one-dimensional convolution to the transmission coefficients. The training dataset employed for forward optimization and inverse design achieved coefficients of determination (R2) of 0.99 and 0.99, respectively, with corresponding mean absolute error (MAE) values of 3.90 and 1.04. …”
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Estimating Chlorophyll-a Concentrations in Optically Shallow Waters Using Gaofen-1 Wide-Field-of-View (GF-1 WFV) Datasets from Lake Taihu, China by Fuli Yan, Yuzhuo Li, Xiangtao Fan, Hongdeng Jian, Yun Li

“…This paper identifies submerged and emergent plants, determines the retrieval models for the upwelling (K_u) and downwelling (K_d) irradiance attenuation coefficients, and proposes a phytoplankton chlorophyll-a retrieval model using a water depth optimization-based method to remove the bottom effect. …”
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Simultaneous Spectrophotometric Estimation of Artesunate and Mefloquine by T. M. Kalyankar, R. B. Kakade, M. S. Attar, A. R. Kamble

“…A simple, rapid, precise, and accurate UV-visible spectrophotometric method has been developed for the simultaneous determination of Artesunate in combination with Mefloquine. …”
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Structural Damage Identification Based on the Wavelet Transform and Improved Particle Swarm Optimization Algorithm by Jia Guo, Deqing Guan, Jianwei Zhao

“…First, the singularity of wavelet coefficients is used to identify the structural damage location, and then, the improved particle swarm optimization (IPSO) algorithm is used to calculate the optimal solution of the objective function of the structural damage location to determine the structural damage severity. …”
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Water Content and Pb Concentrations in the Bottom Sediments Of The Gdansk Deep (South-Eastern Baltic Sea) According to the Portable X-Ray Fluorescence Analyzer Olympus Vanta C by Laskina D., Dorokhova E. V., Koroleva Yu.

“…This work describes a method for determining the water content in sediments from the Gulf of Gdansk of the Baltic Sea, which is based on the analysis of spectral data obtained using the portable X-ray fluorescence analyzer (XRF) Olympus Vanta C. …”
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Joint processing of measurements in a rangefinder-doppler multistatic radar system by E. G. Borisov

“…A gain is shown in the accuracy of determining the location and velocity vector of an air object in comparison with traditional algorithms for determining coordinates in long-range multistatic radar systems.…”
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Guidelines of the minimum sample size requirements for Kappa agreement test by Mohamad Adam Bujang, Nurakmal Baharum

“…The effect sizes were derived from several pre-specified estimates such as the pattern of the true marginal rating frequencies and the difference between the two kappa coefficients in the hypothesis testing. Results:     When the true marginal rating frequencies are the same, the minimum sample size determination can range from 2 to 698 depending on the actual value of the effect size. …”
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Abnormal event detection based on local topology and l_1/2norm regularize by Qing YU, Ken CHEN, Meng LI, Fei LI

“…A new dictionary learning method was proposed by introducing a local topology term to describe structural information of video events and using the l_1/2norm as the sparsity constraint to the representation coefficients based on the traditional analysis dictionary learning method.In feature extraction,a histogram of interaction force(HOIF) containing rich motion information and a histogram of oriented gradient(HOG) containing texture information were merged.Then,the improved dictionary was used to train the feature data.Finally,the reconstruction error of the testing sample under the dictionary was used to determine whether the testing sample was an abnormal sample.Experiments on UMN show the high performance of the algorithm.Compared with the state-of-the-art algorithms,the analysis dictionary classification algorithm based on local topology and l_1/2norm has made more effective detection on the abnormal events in the crowd.…”
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QFCOI-Enhancing Objective Quality Assessment for Compressed Omnidirectional Images With Fusion of Measures by Marek Simka, Ladislav Polak, Adam Zizien, Karel Fliegel

“…To optimize predictive performance of QFCOI, a genetic algorithm was utilized to determine optimal weight coefficients, maximizing the monotonic correlation with subjective quality scores. …”
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Design and evaluation of self-tuning optimal control for vibration suppression of magnetorheological semi-active suspension by Gang Li, Yu Gan, Qianjie Liu, Miaojin Xie, Qingsheng Huang, Liping Zeng

“…The objective of this paper is to enhance the vibration damping capabilities of magnetorheological (MR) semi-active suspension by utilizing a self-tuning LQG control method. Firstly, to determine the mechanical model of MR damper using the hyperbolic tangent model, mechanical experiments were performed with a damping force test machine under various input excitations. …”
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Data-driven approximations of topological insulator systems by Justin T. Cole, Michael J. Nameika

“…A nonlinear least squares method is used to determine the coefficients. The effectiveness of the scheme is highlighted against a Schrödinger equation with a periodic potential that can be described by the Su–Schrieffer–Heeger model.…”
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Quantitative Identification of Adulterated Sichuan Pepper Powder by Near-Infrared Spectroscopy Coupled with Chemometrics by Xi-Yu Wu, Shi-Ping Zhu, Hua Huang, Dan Xu

“…The determination coefficients of prediction set (Rp2) with the best pretreatments were 0.971 for Sichuan pepper powder, 0.948 for rice bran, 0.969 for wheat bran, 0.967 for corn flour, and 0.994 for rosin powder, respectively. …”
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