Adsorptive Removal of Malachite Green Dye onto Coal-Associated Soil and Conditions Optimization by T. R. Sundararaman, A. Saravanan, P. Senthil Kumar, M. Millicent Mabel, R. V. Hemavathy, S. Karishma, S. Jeevanantham, R. Hemavathi, A. Ishwariya, S. Kowsalya

“…The adsorption isotherm was studied with four different isotherm models and results showed that the Freundlich isotherm model gave the best fit than the other nonlinear models to designate the isotherm behaviours with R2 value of 0.9568, and the maximum adsorption capacity of coal-associated soil for MG dye adsorption is 89.97 mg/g. …”
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Indigo Carmine and 2,6-Dichlorophenolindophenol Removal Using Cetyltrimethylammonium Bromide-Modified Palm Oil Fiber: Adsorption Isotherms and Mass Transfer Kinetics by Marcel Cédric Deussi Ngaha, Evangéline Njanja, Giscard Doungmo, Arnaud Tamo Kamdem, Ignas Kenfack Tonle

“…The percentage of adsorption increased with increasing mass of the biosorbents. The nonlinear regression of adsorption isotherms showed that Freundlich (r2 = 0.953; χ2 = 4.398) and Temkin (r2 = 0.986; χ2 = 1.196) isotherms are most appropriate to describe the adsorption of IC and 2,6-DCPIP on CTAB-modified POF, respectively. …”
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A Novel Model for Predicting the Well Production in High-Sulfur-Content Gas Reservoirs by Chunmei Zou, Xiaodong Wang, Jinghong Hu, Yang Lv, Bo Fang, Yuan Zhang

“…The model can handle the influence of nonlinear parameters caused by sulfur deposition, which allows accurate calculations and provides guidance for the development of fractured horizontal wells in gas reservoirs with high sulfur content.…”
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Epidemiological characteristics of elderly osteoporosis fractures and their association with air pollutants: a multi-center study in Hebei Province by Guangzhao Hou, Qian Xiao, Zhipeng Ye, Shihang Liu, Shuai Zhou, Yan Wang, Wenjing Li, Yingze Zhang, Hongzhi Lv

“…The Distribution Lag Nonlinear Model (DLNM) showed that the cumulative lagged effects of PM2.5 and PM10 on the number of hospitalized elderly osteoporosis fracture patients exhibited a bimodal distribution, with the Relative Risk (RR) reaching its peak at a 1-day lag (PM2.5: RR = 1.032, 95% CI: 1.019, 1.045; PM10: RR = 1.022, 95% CI: 1.014, 1.029). …”
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Associations between surrogate insulin resistance indexes and osteoarthritis: NHANES 2003–2016 by Youmian Lan, Qiongbing Zheng, Meijing Li, Jiexin Chen, Dongyang Huang, Ling Lin

“…Furthermore, restricted cubic spline revealed a nonlinear association between TyG-BMI, TyG-WHtR and LAP (all P-non-linear < 0.05). …”
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Blood lead levels and bladder cancer among US participants: NHANES 1999–2018 by Mei Huang, Hongxiao Li, Jiahui Chen, Liuqiang Li, Yifei Zhan, Yuxuan Du, Jun Bian, Meiling Chen, Dehui Lai

“…In addition, we discovered a nonlinear association between the BLLs and bladder cancer risk using a linear regression model. …”
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Fast dynamical simulation combining harmonic-modal hybrid formulations with space separated representations by Claudia Germoso, Sebastian Rodriguez, Angelo Pasquale, Francisco Chinesta

“…Separately, we also developed a harmonic-modal analysis approach that combined modal and harmonic ingredients to efficiently perform time-integration of nonlinear soil behavior. This was achieved through the offline construction of a parametric dynamic response solution using PGD-based model order reduction techniques.Building upon these advancements, this paper extends the use of harmonic-modal hybrid formulations to dynamical problems in degenerated domains. …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite by Prashant Anerao, Atul Kulkarni, Yashwant Munde, Namrate Kharate

“…Given the intricate nature of the dataset and the presence of nonlinear relationships between parameters, XGBoost and AdaBoost exhibited exceptional performance. …”
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Correlation of dietary inflammation index with sarcopenia in patients with chronic kidney disease based on the NHANES database by Ma Xiao-yan, Yao Rui, Ni Lin, Dai Jing-jing

“…Restricted cubic spline plots （RCS） were used to analyze a nonlinear relationship between DII and sarcopenia.ResultsA total of 1，660 CKD patients were included in this study. …”
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High Relative Humidity‐Induced Growth of Perovskite Nanowires from Glass toward Single‐Mode Photonic Nanolasers at Sub‐100‐nm Scale by Zhiqiang Wang, Xinkuo Li, Chenduan Chen, Minhan Lou, Jiajia Wu, Kai Gao, Zengling Li, Ke Sun, Zhou Li, Zhu Xiao, Linhan Li, Pan Wang, Sai Bai, Jianrong Qiu, Dezhi Tan

“…The work not only presents a distinctive technique for the growth of MHPs but also endows MHP NWs with new opportunities for nonlinear optics, strong light‐matter interactions, and active photonic integrated devices.…”
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Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size. by Valter Cesar de Souza, Sergio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho

“…The aim of this study was to evaluate the performance of alternative multivariate procedures for principal component analysis (PCA), using the Nonlinear Iterative Partial Least Squares (NIPALS) and Expectation-Maximization (EM) algorithms, for imputing missing data in time series of meteorological variables. …”
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The association of perirenal adipose tissue accumulation with left ventricular hypertrophy and the mediating role of insulin resistance: a cross-sectional study involving 1112 indi... by Wei Wang, Yang Chen, Xiu Ping Qiu, Xiu Li Guo

“…A linear correlation of LVH risk with PrFT and TG/HDL-c was observed from RCS analysis (P for nonlinear and overall&lt; 0.001). Moreover, TG/HDL-c mediated 13.4% of the association between PrFT and LVMI, and 8.5% between PrFT and LVH.ConclusionIncreased PAT accumulation contributes to an independent variable for LVH, with insulin resistance acting as a mediating variable in this relationship.…”
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Network-wide effects of pallidal deep brain stimulation normalised abnormal cerebellar cortical activity in the dystonic animal model by Fabiana Santana Kragelund, Konstantinos Spiliotis, Marco Heerdegen, Tina Sellmann, Henning Bathel, Anika Lüttig, Angelika Richter, Jens Starke, Rüdiger Köhling, Denise Franz

“…For investigating the spatiotemporal pattern, mean firing rates (MFR), interspike intervals (ISI), spike amplitudes, and cerebellar connectivity among healthy control hamsters, dystonic dtsz hamsters, DBS- and sham-DBS-treated dtsz hamsters were analysed. A nonlinear data-driven method characterised the low-dimensional representation of the patterns in MEA data. …”
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Soybean Water Monitoring and Water Demand Prediction in Arid Region Based on UAV Multispectral Data by Shujie Jia, Mingyi Cui, Lei Chen, Shangyuan Guo, Hui Zhang, Zheyu Bai, Yaoyu Li, Linqiang Deng, Fuzhong Li, Wuping Zhang

“…Results showed that the NDVI-based nonlinear regression model achieved the best performance for leaf water content (R² = 0.725), and a significant correlation was found between canopy leaf water content and 0–20 cm soil moisture (R² = 0.705), enabling predictions of deeper soil moisture. …”
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A Low Complexity Dual-Phase Alternating Scheme is Used With the PTS Method to Reduce PAPR for B5G Systems by Yung-Ping Tu, Chen-Wei Hsu

“…Of course, our proposed method&#x2019;s bit error rate (BER) consistently outperforms the original waveform due to a valid PAPR reduction that weakens nonlinear distortion from the power amplifier.…”
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Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration by Aleksandra A. Pachalieva, Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, Gowri Srinivasan, Hari Viswanathan

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Spatiotemporal Evolution and Driving Mechanisms of kNDVI in Different Sections of the Yangtze River Basin Using Multiple Statistical Methods and the PLSPM Model by Zhenjiang Wu, Fengmei Yao, Adeel Ahmad, Fan Deng, Jun Fang

“…In contrast, the kernel NDVI (kNDVI) demonstrates significant advantages in suppressing background noise and improving saturation thresholds through nonlinear kernel transformation, thereby enhancing sensitivity to vegetation changes. …”
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Robust Next-Day Scheduling of PV Generation Sources Supplying a Standalone DC Microgrid via a Semi-Definite Programming Model by Walter Gil-Gonzalez, Oscar Danilo Montoya, Luis F. Grisales-Norena, Fabio Andrade

“…The PV source operation model is formulated as a nonlinear programming (NLP) problem with the objective of minimizing daily energy losses and reducing CO2 emissions compared to diesel generators. …”
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Petrophysical Regression regarding Porosity, Permeability, and Water Saturation Driven by Logging-Based Ensemble and Transfer Learnings: A Case Study of Sandy-Mud Reservoirs by Shenghan Zhang, Yufeng Gu, Yinshan Gao, Xinxing Wang, Daoyong Zhang, Liming Zhou

“…From a general review, most petrophysical models applied for the conventional logging interpretation imply that porosity, permeability, or water saturation mathematically have a linear or nonlinear relationship with well logs, and then arguing the prediction of these three parameters actually is accessible under a regression of logging sequences. …”
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Recent Developments of Directional Overcurrent Relay Coordination in Ring Distribution Network Based on Hybrid Optimization Techniques by Annas Alamshah, Suzana Pil Ramli, Nurulafiqah Nadzirah Mansor, Muhamad Usama, Hazlie Mokhlis, Hadi Suyono, Rini Nur Hasanah

“…However, optimizing these settings is a daunting task due to the nonlinear nature of the problem and the myriad constraints involved. …”
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