Discussion on the Analysis Method of Iodide in Natural Water Samples by Xinyi SONG, Chunxue XU, Ziyi AN, Hongbin SUN, Zongding CHEN, Wei LIU, Yuqi ZHENG

“…Therefore, when there are iodate ions in the water sample, the determination result is actually the total content of inorganic iodine.　　③ The standard working curve of the catalytic reduction spectrophotometry is bent downward as a whole and does not show a good linear relationship. …”
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Fingerprint localization algorithm based on linear spatial dependence of WLAN RSS by Xiaoliang XU, Jian GAO, He HUANG, Zhe MA

“…Due to RSS time-varying and difference of signal receiving ability of different terminals,the performance of RSS-based technologies is usually instability.In order to solve such problem, a novel fingerprint localization algorithm based on linear spatial dependence of RSS was proposed.Multiple sets of RSS samples were collected at each reference point to form a feature matrix and an offline location fingerprint database was conducted.When the real-time RSS matrix was used to calculate the correlation between the real-time RSS matrix and the reference point of the fingerprint library, the k-reference points were obtained, and the final position of the user was calculated by the quadratic weighted centroid algorithm.In order to effectively reduce the influence of signal time-varying,the sampling and sorting process were carried out, and the number of sampling times increased as much as possible when constructing the offline fingerprint database,but the samples needed to be aggregated to fit the positioning correlation calculation.Experiment results show that the proposed algorithm can guarantee the high positioning accuracy and also achieve the better stability for different terminal.…”
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Bayesian Quantile Regression for Partial Functional Linear Spatial Autoregressive Model by Dengke Xu, Shiqi Ke, Jun Dong, Ruiqin Tian

“…Therefore, this paper introduces the quantile regression into the partial functional linear spatial autoregressive model (PFLSAM) based on the asymmetric Laplace distribution for the errors. …”
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Electrospun Membrane for the Extraction of Acrylamide in Pet Food Samples by Chanbasha Basheer

“…A series of microextraction parameters were optimized before quantitative analysis of dry pet food samples. The calibration curve exhibited good linearity with a correlation coefficient of 0.996 across a 1–100 μg/kg concentration range. …”
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Sensitive and selective electrochemical biosensor based on Manganese(II) complex for simultaneous determination of adenine and guanine from clinical samples and DNA extract samples by Melaku Metto, Alemu Tesfaye, Minaleshewa Atlabachew, Abayneh Munshea, Atakilt Abebe

“…The sensor was successfully employed to detect adenine and guanine in urine, clinical blood serum, and DNA extract samples, with spike recovery rates in these samples reaching the range of 96–104 %. …”
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Comparisons between Resampling Techniques in Linear Regression: A Simulation Study by Anwar Fitrianto, Punitha Linganathan

“…The classic methods used in estimating the parameters in linear regression need to fulfill some assumptions. …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

“…Specifically, this study proposes a dimensionally decoupled spatial spectral linear extrapolation (SSLE) strategy to achieve sample augmentation. …”
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An Advanced Auxiliary Delay-Weight Particle Filter with Linear Computation Cost by Chen Li, Lin Sun, Zengwei Zheng, Dan Chen

“…Based on the newly tree-like structures formed by auxiliary particles and sampled particles, we design a well efficient delayed-weight algorithm with linear computation cost. …”
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Bagging-based heteroscedasticity-adjusted ridge estimators in the linear regression model

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Fractional Vortex Dynamics in Two-Band Superconductors with Linear Normal Strips by Ariday S. Mosquera-Polo, Edwan A. Aríza-Echeverri, Cristhian Aguirre, Luis F. Muñoz-Martínez, Julián Faúndez

“…We investigate the impact of normal linear strips—both perpendicular and parallel to the direction of vortex motion—on the dynamics of fractional vortices in a two-band superconducting slab. …”
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On Solving System of Linear Differential-Algebraic Equations Using Reduction Algorithm by Srinivasarao Thota

“…In this paper, we present a new reduction algorithm for solving system of linear differential-algebraic equations with power series coefficients. …”
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COMPENSATION OF MEASUREMENT ERRORS WHEN REDUCING LINEAR DIMENSIONS OF THE KELVIN PROBE by A. K. Tyavlovsky, A. L. Zharin

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Method and Mathematical Modeling of Formation of Gradually and Homogeneously Oriented Linear Polymers by Levan Nadareishvili, Roland Bakuradze, Jimsher Aneli, Manana Areshidze, Ineza Pavlenishvili, Liana Sharashidze, Giorgi Basilaia

“…At the same time, specified values of quantitative parameters are ensured, in particular, the selected profile of distribution of the relative elongation (linear, sinusoidal, etc.) along the length of the gradually oriented polymer sample and the specified constant relative elongation along the length of the homogeneously oriented polymer. …”
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STIMULATION OF REPARATION IN A LINEAR WOUND MODEL IN RATS BY BISCHOFIT GEL by Yu. V. Stepenko, V. O. Soldatov, M. A. Zatolokina, A. V. Mayorova, B. B. Sysuev, A. N. Demidenko, E. N. Ivahno, M. V. Sarycheva, M. V. Pokrovskiy

“…The aim of the article is to evaluate Bischofit gel reparative activity in a linear wound model in rats.Materials and Methods. …”
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Study of Some Kinds of Ridge Regression Estimators in Linear Regression Model by Mustafa Nadhim Lattef, Mustafa I ALheety

“… In linear regression model, the biased estimation is one of the most commonly used methods to reduce the effect of the multicollinearity. …”
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Monthly Arctic Sea‐Ice Prediction With a Linear Inverse Model by M. Kathleen Brennan, Gregory J. Hakim, Edward Blanchard‐Wrigglesworth

“…Abstract We evaluate Linear Inverse Models (LIMs) trained on last millennium model data to predict Arctic sea‐ice concentration, thickness, and other atmospheric and oceanic variables on monthly timescales. …”
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MetaLP: An integrative linear programming method for protein inference in metaproteomics. by Shichao Feng, Hong-Long Ji, Huan Wang, Bailu Zhang, Ryan Sterzenbach, Chongle Pan, Xuan Guo

“…In conclusion, MetaLP could substantially improve protein inference for complex metaproteomes by incorporating taxonomic abundance information in a linear programming model.…”
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Distributed Sparse Manifold-Constrained Optimization Algorithm in Linear Discriminant Analysis by Yuhao Zhang, Xiaoxiang Chen, Manlong Feng, Jingjing Liu

“…However, traditional LDA methods are not suitable for the dimensionality reduction and processing of small high-dimensional samples. In order to improve the accuracy and robustness of linear discriminant analysis, this paper proposes a new distributed sparse manifold constraint (DSC) optimization LDA method, called DSCLDA, which introduces <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>L</mi><mrow><mn>2</mn><mo>,</mo><mn>0</mn></mrow></msub></semantics></math></inline-formula>-norm regularization for local sparse feature representation and manifold regularization for global feature constraints. …”
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Searching for Functional Simplicity of Stormflow Generation by Hamed Sharif, Ali A. Ameli

Subjects: “…large‐sample hydrology…”
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Additive Manufacturing as an Alternative to Core Sampling in Concrete Strength Assessment by Darya Anop, Marzhan Sadenova, Nail Beisekenov, Olga Rudenko, Zulfiya Aubakirova, Assel Jexembayeva

“…Additive manufacturing reshapes concrete construction, yet routine strength verification of printed elements still depends on destructive core sampling. This study evaluates whether standard 70 mm cubes—corrected by a single factor—can provide an equally reliable measure of in situ compressive strength. …”
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