Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data by Biao Zhang, Zhichao Wang, Tiantian Ma, Zhihao Wang, Hao Li, Wenxu Ji, Mingyang He, Ao Jiao, Zhongke Feng

“…The correction of AGB estimates across various gradients with CH features demonstrated a nonlinear pattern, initially increasing, then decreasing, and subsequently rebounding. …”
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Association between geriatric nutritional risk index and overactive bladder in the elderly population: a cross-sectional study by Wei Zheng, Wei Zheng, Chuanzan Zhou, Jia Miao, Yunkai Yang, Xuanhan Hu, Heng Wang, Xinyu Zhang, Qi Zhang, Yifan Wang

“…The study revealed that inflammatory response mediates the relationship between GNRI and OAB, while cognitive function has a relatively weaker influence on the strength of the association between GNRI and OAB.ConclusionGNRI serves as a reliable predictive marker for OAB in the elderly population, demonstrating a nonlinear inverse correlation with OAB prevalence. …”
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The impact of dietary metabolizable energy levels on the performance of medium-sized geese: A systematic review by Shuo Wang, Chunbo Wei, Jiaxin Yan, Ying Zhang

“…The analysis included tests for inconsistencies in the results by inconsistency model, assessment of publication bias by funnel plots, and data sorting through the robust error meta-regression model. Additionally, nonlinear dose-response curves were plotted by the restricted cubic spline method to explore the relationships between metabolizable energy levels and production performance indicators. …”
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Ecological security driving mechanisms and optimization of zoning in Chinese urban agglomerations: A case study of the central plains urban agglomeration by Jinyuan Zhang, Xuning Qiao, Yongju Yang, Liang Liu, Yalong Li, Shengnan Zhao

“…Interaction detection factors exhibit varying degrees of dual-factor or nonlinear enhancement, with the combined strength of positive effects being greater than that of negative effects; (3) The spatial distribution characteristics of ecological security zones in the CPUA align with those of ecological security conditions. …”
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An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

“…During 18-month follow-up period, 42 individuals progressed to AD (PMCI), while 65 remained in the aMCI stage (SMCI). Spectral, nonlinear, and functional connectivity features were extracted from the EEG data, subjected to feature selection and dimensionality reduction, and then fed into various machine learning classifiers for discrimination. …”
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The association between dietary omega-3 intake and osteoporosis: a NHANES cross-sectional study by Zhiwen Liu, Shaoming Cai, Yuzhen Chen, Zijing Peng, Huanling Jian, Zhihai Zhang, Hongxing Huang

“…Intake of omega-3 and osteoporosis were linearly related (p for nonlinear = 0.366).ConclusionThis study demonstrates a significant inverse relationship between dietary omega-3 fatty acid intake and osteoporosis risk, suggesting omega-3 s play a crucial role in bone health. …”
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Sustainable foam glass property prediction using machine learning: A comprehensive comparison of predictive methods and techniques by Mohamed Abdellatief, Leong Sing Wong, Norashidah Md Din, Ali Najah Ahmed, Abba Musa Hassan, Zainah Ibrahim, G. Murali, Kim Hung Mo, Ahmed El-Shafie

“…Data preprocessing involved Pearson correlation analysis to address multicollinearity and reveal nonlinear relationships among variables. Model performance was evaluated through R-values, mean absolute error, and root mean square error metrics, demonstrating that the GPR model achieved superior prediction accuracy with R-values of 0.91 and 0.82 for porosity and CS, respectively. …”
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Relationship between prenatal metals exposure and neurodevelopment in one-year-old infants in the CLIMB study by Xiao-Yuan Fan, Xian-Shu Lin, Bing-Rui Yang, Han-Wen Zhang, Feng Tang, Jia-Jia Tang, He-Bin Chi, Toby Mansell, Noora Kartiosuo, Yin-Yin Xia, Ting-Li Han, Hua Zhang, Philip Baker, Richard Saffery

“…RCS models revealed nonlinear dose-response relationships between manganese (Mn) and calcium (Ca) with PDI, and for Mn, As, and zirconium (Zr) with MDI. …”
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Narrow Linewidth All-Optical Microwave Oscillator Based on Torsional Radial Acoustic Modes of Single-Mode Fiber by Wen Wang, Wenjun He, Xinyue Fang, Yi Liu, Yajun You, Mingxing Li, Lei Yu, Qing Yan, Yafei Hou, Jian He, Xiujian Chou

“…The main ring cavity provides forward stimulated Brillouin scattering gain and utilizes a nonlinear polarization rotation effect to achieve TR_2,7 mode locking. …”
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Thermal Performance Analysis of Nanofluids for Heat Dissipation Based on Fluent by Junqiang Xu, Zemin Shang, Shan Qing

“…In terms of flow characteristics, the pressure drop and friction factor of nanofluids exhibit nonlinear variations with increasing flow rates. High-concentration CuO-H₂O nanofluid shows a substantial pressure drop, with an increase of 7.33% compared to pure water, but its friction factor remains relatively low and stabilizes at higher flow rates. …”
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Prediction of coal dust particle size after spraying dust reduction in roadway based on orthogonal experiment and regression analysis by Bingyou JIANG, Yuqian ZHANG, Changfei YU, Ben JI, Haoyu WANG, Zhuang LIU

“…On this basis, combined with the weights of each influencing factor, a weighted-based multivariate nonlinear regression prediction model of coal dust D90 after spraying dust reduction was constructed, and its prediction results were compared and analyzed with those of the multivariate linear regression model. …”
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Antiferromagnetic semimetal terahertz photodetectors enhanced through weak localization by Dong Wang, Liu Yang, Zhen Hu, Fang Wang, Yage Yang, Xiaokai Pan, Zhuo Dong, Shijian Tian, Libo Zhang, Li Han, Mengjie Jiang, Keqin Tang, Fuxing Dai, Kai Zhang, Wei Lu, Xiaoshuang Chen, Lin Wang, Weida Hu

“…Our study reveals that the interaction between antiferromagnetic magnetic moments and electron spin induces disordered carriers to hop between localized states, resulting in a nonlinear increase in responsivity as temperature decreases. …”
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Heterogeneous integration of amorphous silicon carbide on thin film lithium niobate by Zizheng Li, Naresh Sharma, Bruno Lopez-Rodriguez, Roald van der Kolk, Thomas Scholte, Hugo Voncken, Jasper van der Boom, Simon Gröblacher, Iman Esmaeil Zadeh

“…Our platform offers a CMOS-compatible and scalable approach for the implementation of future fast electro-optic modulators and reconfigurable photonic circuits, as well as nonlinear processes that can benefit from involving both second- and third-order nonlinearities.…”
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Simulación numérica del proceso de fractura en modo I de vigas de concreto con trayectoria de fisuración conocida mediante un modelo discreto de fisura cohesiva Numerical modeling... by Rubén Graffe, Dorian Linero

“…Each numerical simulation is a nonlinear finite elements analysis in plane stress state, considering infinitesimal strain and applying an incremental vertical displacement on the top side of the mid-span of the beam. …”
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Association of composite dietary antioxidant index with circadian syndrome: evidence from NHANES by Chen Chen, Chenyu Zhao, Hongyu Jin, Zhiping Jiang, Wei Wang, Wen-Yang Li

“…Additionally, restricted cubic spline (RCS) regression was employed to investigate potential nonlinear correlations.ResultsAmong 11,048 subjects included (mean age 47.57 years), 2,733 (weighted prevalence = 22.13%) were reported to have CircS. …”
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Structural, magnetic, and optical characteristics of undoped and chromium, iron, cobalt, copper, and zinc doped nickel oxide nanopowders by Farzaneh Asaldoust, Khosro Mabhouti, Akbar Jafari, Maryam Taleb-Abbasi

“…This observation suggests that the prepared NiO nanopowders have significant potential in both linear and nonlinear optical devices, optoelectronics, and data storage technologies.…”
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Determining Dominant Factors of Vegetation Change with Machine Learning and Multisource Data in the Ganjiang River Basin, China by Zhiming Xia, Kaitao Liao, Liping Guo, Bin Wang, Hongsheng Huang, Xiulong Chen, Xiangmin Fang, Kuiling Zu, Zhijun Luo, Faxing Shen, Fusheng Chen

“…Spring minimum temperature was the most important seasonal climate variable. Both linear and nonlinear relationships were identified between these variables and the NDVI, with most variables exhibiting threshold effects. …”
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Experimental study and gyrokinetic simulations of isotope effects on core heat transport in JET tokamak deuterium and tritium plasmas by D. Brioschi, P. Mantica, A. Mariani, N. Bonanomi, E. Delabie, J. Garcia, N. Hawkes, I. Jepu, D. Keeling, E. Lerche, E. Litherland-Smith, C.F. Maggi, S. Menmuir, G. Szepesi, D. Taylor, D. Van Eester, JET Contributors

“…In order to characterize the turbulence dependence on the isotope mass, three of these discharges (two in T and one in D) with same external heating scheme are studied in detail and interpreted with gyrokinetic linear and nonlinear simulations. The analysis is performed at fixed radius $\rho_\mathrm{tor} = 0.33$ , selected in order to maximize the electromagnetic stabilizing effects on turbulence, both from thermal and suprathermal particles. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…We have utilized a combinational use of NARX (Nonlinear Autoregressive model with eXogenous inputs) and Long Short-Term Memory (LSTM) models, which was successful in objectively re-confirming the anomalies in both parameters on the same day prior to the EQ. …”
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High-power, ultra-low-noise cascaded diamond Raman lasers with spectrum compression by Hui Chen, Zhongan Zhao, Wenqiang Fan, Yunpeng Cai, Boyuan Zhang, Jie Ding, Yaoyao Qi, Bingzheng Yan, Yulei Wang, Zhiwei Lu, Zhenxu Bai

“…Stimulated Raman scattering is a third-order nonlinear optical effect that is not only effective for wavelength converting laser output, but also for single longitudinal-mode output due to the absence of spatial hole burning. …”
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