Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement lo... by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

“…Shapley additive explanations (SHAP) analyses revealed the importance of key features, such as night sleep duration, TG levels, and waist circumference, in predicting outcomes, and highlighted the nonlinear relationships between these features and CVD risk. …”
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The association between working hours and working type with non-alcoholic fatty liver disease: results from the NHANES 1999-2014 by Ruli Wang, Ningxi Wu, Huan Qu, Xiaowei Zheng, Haoyang Zhang, Lihong Zhu, Xiaolei Wang, Xiaodie Yao, Le Zhang

“…RCS analysis suggested that there was no nonlinear relationship between them. When weekly working hours > 50, the likelihood of NAFLD among the population heightened to 57% and this risk increased to 99% in the female population. …”
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Modelling Hysteresis in Shape Memory Alloys Using LSTM Recurrent Neural Network by Mohammad Reza Zakerzadeh, Seyedkeivan Naseri, Payam Naseri

“…The complex behavior of shape memory alloys (SMAs), characterized by hysteresis and nonlinear dynamics, results in complex constitutive equations. …”
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Quantitative relationships between elastic modulus of rod and biomechanical properties of transforaminal lumbar interbody fusion: a finite element analysis by Jie Li, Zengfeng Du, Shuai Cao, Teng Lu, Zhongwei Sun, Hongyu Wei, Haopeng Li, Ting Zhang

“…The peak stresses on the posterior fixation system showed a nonlinear increase as the rod-E increased from 1 GPa to 110 GPa under most loading conditions. …”
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A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…This optimization problem involves accurately identifying parameters that reflect the complex and nonlinear behaviours of photovoltaic cells affected by changing environmental conditions and material inconsistencies. …”
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A comparative study of the production of methyl esters from non-edible oils as potential feedstocks: Process optimization and two-step biodiesel characterization by Jassinnee Milano, Mei Yin Ong, Sieh Kiong Tiong, F. Ideris, A.S. Silitonga, A.H. Sebayang, Chung Hong Tan, I.M.R. Fattah, Zahra Fona, Nazia Hossain

“…The response surface methodology (RSM), a nonlinear regression approach, was employed to optimize the transesterification process, aiming to simulate and apply the same process parameters across all three oils. …”
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NONAN GaitPrint: An IMU gait database of healthy older adults by Tyler M. Wiles, Seung Kyeom Kim, Madhur Mangalam, Joel H. Sommerfeld, Kolby J. Brink, Alli Grunkemeyer, Marilena Kalaitzi Manifrenti, Anaelle E. Charles, Narges Shakerian, Mehrnoush Haghighatnejad, Spyridon Mastorakis, Nick Stergiou, Aaron D. Likens

“…To address this need and complement our previous database on healthy young adults, we present an addition to the Nonlinear Analysis Core (NONAN) GaitPrint database. …”
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Sex-biased prevalence in infections with heterosexual, direct, and vector-mediated transmission: a theoretical analysis by Andrea Pugliese, Abba B. Gumel, Fabio A. Milner, Jorge X. Velasco-Hernandez

“…In the first model, where the other two transmission modes are not considered, the attack ratios (fractions of the population of each sex that will eventually be infected) can be obtained as solutions of a system of two nonlinear equations, that has a unique solution if the net reproduction number exceeds unity. …”
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Assessment and enhancement of transfer capability for large-scale renewable generation base transmitted by voltage source converter based high voltage direct current system by Shiyuan Chen, Shunjiang Lin, Yuerong Yang, Kaiyun Jiang, Mingbo Liu

“…To solve the bi-level optimal power flow model, the Kriging surrogate model is used to obtain the relationship between the transfer capability and the types and sizes of the reactive power compensation devices at the anticipated installation buses, and the inner-layer transfer capability assessment model is replaced with equality constraints, thereby transforming the original bi-level optimal power flow model into a single-layer mixed-integer nonlinear programming model for direct resolution. …”
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Revisiting the surgical table: An analysis of surgical dose-response in Asian exotropia by I-Wen Lai, Li-Li Wu, Yao-Lin Liu, Tzu-Hsun Tsai

“…Conclusion: Age, axial length, and preoperative deviation have a nonlinear effect on surgical dose-responses in exotropia patients undergoing R&R. …”
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The triglyceride–glucose index and its obesity-related derivatives as predictors of all-cause and cardiovascular mortality in hypertensive patients: insights from NHANES data with... by Chenyang Li, Zixi Zhang, Xiaoqin Luo, Yichao Xiao, Tao Tu, Chan Liu, Qiming Liu, Cancan Wang, Yongguo Dai, Zeying Zhang, Cheng Zheng, Jiafeng Lin

“…Cox proportional hazards models and restricted cubic splines were employed to explore mortality risk and potential nonlinear relationships. Machine learning models were utilized to assess the predictive value of the TyG index and its derivatives for mortality outcomes. …”
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Responses of Typical Riparian Vegetation to Annual Variation of River Flow in a Semi-Arid Climate Region: Case Study of China’s Xiliao River by Xiangzhao Yan, Wei Yang, Zaohong Pu, Qilong Zhang, Yutong Chen, Jiaqi Chen, Weiqi Xiang, Hongyu Chen, Yuyang Cheng, Yanwei Zhao

“…Then, we simulated the response characteristics of riparian vegetation to the key driving factors in spring and summer based on nonlinear equations. The results showed that the contribution of river flow factors to riparian vegetation was higher than that of climate factors. …”
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Shock reaction model for impact energy release behavior of Al/PTFE reactive material by Bao-yue Guo, Ke-rong Ren, Xia-yin Ma, Gan Li, Cai-min Huang, Zhi-bin Li, Rong Chen

“…At the same time, the shock reaction model is embedded into the material library of the LS-DYNA nonlinear dynamic simulation software as a secondary development. …”
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Predictive value of the monocyte count for determining the risk of postoperative moderate-to-severe ARDS in patients undergoing one-lung ventilation during radical treatment of eso... by Feng Zhang, Feng Zhang, Shunmei Lu, Guilong Wang, Hongyang Xu, Dongxiao Huang, Xiaomin Li

“…The difference of predictive value between postoperative monocyte count and prediction model (AUC = 0.760) was not statistically significant (p = 0.142). Additionally, a nonlinear connection between postoperative monocyte count and severe ARDS was found using curve fitting.ConclusionThe postoperative monocyte count is an ideal predictor of postoperative moderate-to-severe ARDS in this patient population and can be used for the early diagnosis of patients with severe postoperative ARDS.…”
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Dynamic analysis and optimal control of a hybrid fractional monkeypox disease model in terms of external factors by Saima Rashid, Abdul Bariq, Ilyas Ali, Sobia Sultana, Ayesha Siddiqa, Sayed K. Elagan

“…Through the application of nonlinear least squares, we determine the parameter values applying actual cases collected from Canada. …”
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Association of serum chloride levels with all-cause mortality among patients in surgical intensive care units: a retrospective analysis of the MIMIC-IV database by Quan Ma, Wei Tian, Kaifeng Wang, Bin Xu, Tianyu Lou

“…RCS analysis depicted an L-shaped curve demonstrating the dynamics between serum chloride concentrations and the risk of all-cause mortality across the 30-day, 90-day, and 180-day periods.Starting at a concentration of 104 mmol/L, a decrease in serum chloride levels was associated with an increased risk of mortality.These findings elucidate a marked nonlinear association between serum chloride levels and all-cause mortality in SICU patients, enhancing our comprehension of serum chloride’s impact on clinical outcomes in this setting.…”
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Improving the rheological and tribological properties of emulsion-filled gel by ultrasound-assisted cross-linked myofibrillar protein emulsion: Insight into the simulation of oral... by Ye Tao, Jiaming Cai, Peng Wang, Lei Zhou, Jiale Chai, Zixu Wang, Xinglian Xu

“…Based on the excellent hydrophobic interaction between emulsion droplets and protein matrix, the NPGU-G group presented enhanced hardness, gumminess, chewiness, hydrophobic interaction, creep-recovery behavior, and the retarded transition of nonlinear response. Furthermore, the lower oil-released content and reduced friction coefficient in the NPGU-G group also indicated that the smaller emulsion droplets contributed to the gel quality and mouth lubrication. …”
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A case-crossover study of air pollution exposure during pregnancy and the risk of stillbirth in Tehran, Iran by Nadia Mohammadi Dashtaki, Mohammad Fararouei, Alireza Mirahmadizadeh, Mohammad Hoseini, Mohammad Heidarzadeh

“…Using a quasi-Poisson regression model and distributed lag nonlinear models (DLNM), we estimated the effect of exposure to air pollutants measured as lags (0 to 7 days) and cumulative average days (0–2, 0–6, and 0–14-day lag) before delivery on stillbirth. …”
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Age-stratified analysis of the BMI-kidney stone relationship: findings from a national cross-sectional study by Liuliu Zhou, Wei Gu, Yufeng Jiang, Haimin Zhang

“…BackgroundThe association between body mass index (BMI) and kidney stone formation may vary across different age groups and follow nonlinear patterns.MethodsThis study analyzed data from NHANES 2009–2018, including 14,880 participants aged ≥20 years, to evaluate the association between BMI and the risk of kidney stones. …”
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Associations of PM2.5 and its components with term preterm rupture of membranes: a retrospective study by Jiangxia Qin, Weiling Liu, Haidong Zou, Chong Zeng, Cifeng Gao, Weiqi Liu

“…Specifically, the interquartile range (IQR) 3 (IQR3) and IQR4 of ${\mathrm{SO}}_{4}^{2-}$ SO 4 2 − exposure during the third trimester increased the risk of TPROM by 18% (95% CIs [1.01–1.39]) and 18% (95% CIs [1.01–1.39]), respectively. A nonlinear relationship was observed between exposure to PM2.5, ${\mathrm{SO}}_{4}^{2-}$ SO 4 2 − , ${\mathrm{NH}}_{4}^{+}$ NH 4 + , and OM during the second trimester and the risk of TPROM. …”
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