Research of compressed sensing for predistortion with relatively low sampling frequency by Xin HU, Jian-kang WANG, Fei LIU, Lian-jun OU, Jun LIANG, Gang WANG, Ji-run LUO

“…In order to improve the TWTA digital predistortion linearizer with relatively low sampling frequency, the LUT and indirect learning architecture were used, which was cumbersome. …”
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CALCULATION AND AN EXPERIMENTAL RESEARCH PARAMETERS OF SAMPLES OF A FERROMAGNETIC MATERIAL by A.P. POPOV, M.R. VINOKUROV

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The Effect of Wood on Japanese Architecture: The Sample of The Horyu-Ji Temple by Tuğçe Şirikçi

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A Large Sample Study of Fuzzy Least-Squares Estimation by Jin Hee Yoon, Seung Hoe Choi

“…Despite the statistical significance of optimal properties in large-sample scenarios, only limited research has addressed these topics. …”
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First Electrochemical Method of Nitrothal-Isopropyl Determination in Water Samples by Dariusz Guziejewski, Agnieszka Nosal-Wiercińska, Sławomira Skrzypek, Witold Ciesielski, Sylwia Smarzewska

“…The calibration curve (SWSV) was linear in the nitrothal-isopropyl concentration range from 2.0 × 10−7 to 2.0 × 10−6 mol L−1 with detection limit of 3.46 × 10−8 mol L−1. …”
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Testing Linear Regressions by StatsModel Library of Python for Oceanological Data Interpretation by Polina Lemenkova

“…Statistical methods include several algorithms that were tested: 1) weighted least square linear regression between geological variables, 2) autocorrelation; 3) design matrix, 4) ordinary least square regression, 5) quantile regression. …”
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Radar target detector based on banded sample autocovariance matrices by Chang Qu, Xiaoying Wang, Jing Chen, Junping Yin, Jiang Hu, Zhigen Gao

“…We model radar echo data within a coherent processing interval as stationary time series governed by linear random processes, enabling the application of a time series resampling approach to establish the autoregressive sieve bootstrap consistency of the banded sample autocovariance matrix (SACM) in the spectral norm. …”
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Cellulosic-based microneedles for sensing heavy metals in fish samples by Houman Kholafazad, Mahdiyeh Pazhuhi, Mohammad Hasanzadeh, Nicolas H. Voelcker, Nasrin Shadju, Azadeh Nilghaz

“…Microneedles (MNs) have emerged as a cutting-edge sensing approach due to their enhanced surface area, improved sample penetration, localized detection, and potential for enhanced sensitivity. …”
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Associations of neurodegenerative and cerebrovascular neuropathology with frailty in a diverse sample by Felipe Bozi-Soares, Márlon Juliano Romero Aliberti, Alberto Fernando Oliveira Justo, Renata E. P. Leite, Lea T. Grinberg, Vitor R. Paes, Roberta D. Rodriguez, Carlos A. Pasqualucci, Eduardo Ferrioli, Claudia Kimie Suemoto

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Constrained MPC for a linear system to track time-varying reference signals by Renlong WU, Nobutaka WADA

“…The control algorithm is reduced to a convex optimization problem under linear matrix inequality constraints.…”
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Variational Bayesian EM Algorithm for Quantile Regression in Linear Mixed Effects Models by Weixian Wang, Maozai Tian

“…This paper extends the normal-beta prime (NBP) prior to Bayesian quantile regression in linear mixed effects models and conducts Bayesian variable selection for the fixed effects of the model. …”
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PENGARUH SELF EFFICACY TERHADAP PEMECAHAN MASALAH PADA MATERI PROGRAM LINEAR by Zabir Zabir, Carolina Selfisina Ayal, Darma Andreas Ngilawajan

“…Dari hasil analisis dengan menggunakan statistik regresi linear sederhana, menunjukkan bahwa terdapat pengaruh self efficacy terhadap pemecahan masalah siswa pada materi program linear di kelas X SMK Al-Wathan Ambon.…”
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Predicting Market Value of Iranian Football Players using Linear Modeling Techniques by Rasool Nazari, Saeid Azari

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Modelling child anaemia and co-existing infections using log-linear models by Grace Kakaire, Gregory Kerich, Robert Too, Mathew Kosgei

“…Five log linear models, namely; saturated, mutual independence, joint independence, conditional independence and homogenous models were fitted. …”
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On using a non-probability sample for the estimation of population parameters by Ieva Burakauskaitė, Andrius Čiginas

“…The estimators of the population mean based on the estimated propensity scores are linearly combined with the unbiased estimator using the probability sample data. …”
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Sample size required for prognostic genes analysis in colorectal cancer by Chuanhua Zhao, Xiao Lou, Weilu Jia, Zhiyi Wan, Xin Lu, Yuxuan Qiu, Qianru Xu, Kaiyu Jian, Hongyan Zhang, Feng Liang

“…However, for targeted sequencing data, the number of prognostic genes increased linearly with increasing sample size in CRC cases with stage III and IV. …”
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Investigation of illicit pregabalin in seized samples from Saudi Arabia by Fatimah M. Alamri, Fatimah M. Alamri, Sultan K. Alshmmari, Monerah A. Altamimy, Ibrahim A. Al Othaim, Yahya M. Alshehri, Rayed M. Alafraa, Ahmed D. Almalki, Turki A. Alkhalifah, Taher Sahlabji, Abubakr M. Idris, Abubakr M. Idris, Haitham Al-Hamoud, Yahya F. Jamous, Fahad S. Aldawasri

“…Due to its abuse in multiple countries, PGL has been classified as a controlled substance by authorities, including the Saudi Food and Drug Authority (SFDA).MethodsThis study developed a validated ultra-performance liquid chromatography-photodiode array detector (UPLC-PDA) method to quantify PGL in 40 seized samples (35 capsules, 5 powders). A complementary liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was used to detect potential adulterants.ResultsThe UPLC-PDA method demonstrated linearity (r = 0.9973) for PGL quantification (0.50–3.00 mg/mL), with an accuracy of 96%–102%. …”
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Collapse risk assessment based on linear programming variable weight-cloud model. by Xiaoyi Zhou, Ke Hu, Tingqiang Zhou

“…In this paper, we utilize the respective advantages of the linear programming theory and the cloud model from the prevention and control point of view, and evaluate the collapse samples. …”
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Application of Linear Additive Conditions for Near-Infrared Diffuse Reflectance Absorption Spectroscopy by Zhiyue Feng, Guimin Cai, Tiancheng Huang, Hubin Liu, Jianhua Zheng, Zengrong Yang, Longlian Zhao, Junhui Li

“…According to the Kubelka–Munk (K-M) function of diffuse reflectance absorption spectrum, absorbance (A) is approximately linear with the content of the components when the sample scattering coefficient (S) is in a certain range. …”
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Linear Drucker-Prager yield criterion calibration for polypropylene under multiaxial load by Adam Kasprzak

“…Tests were performed using a universal testing machine with the Arcana fixture, and the results were analysed to determine the yield strength, pressure, and triaxiality for each sample. The results showed a linear relationship between von Mises stress and hydrostatic pressure, with a friction angle (β) of 20.65° and material cohesion (d) of 27.81. …”
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