Research on the Pore Evolution of Oil Shale under Different Thermal Treatment Temperatures Using NMR and FE-SEM Methods by Yan Xi, Jun Li, Wei Lian, Haifeng Fu, Yue Qi, Yudong Tian

“…When the temperature continued to rise (700°C), the increase of permeability began to slow down. There is a nonlinear correlation between porosity and movable fluid saturation and an approximately linear correlation between permeability and movable fluid saturation. …”
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Correcting scale distortion in RNA sequencing data by Christopher Thron, Farhad Jafari

“…To mitigate these biases, we introduce two different nonlinear transforms based on statistical considerations that correct these observed biases. …”
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Estimating the Climate-Controlled Soil Parameters and the Distorted Mound Shape for Analysis of Stiffened Rafts on Expansive Soils by Mohamed H. Abu-Ali, Basuony El-Garhy, Ahmed Boraey, Wael S. Al-Rashed, Hassan Abdel-Daiem

“…In most design methods, the distorted mound shape is represented in 2D by the edge distance and the maximum differential movement through a nonlinear equation. This study presents a rational method for estimating the climate-controlled soil parameters that are used for estimating the 3D distorted mound shape of the expansive soil from the routine geotechnical tests’ results. …”
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Numerical and Experimental Failure Analysis of Carbon Fiber-Reinforced Polymer-Based Pyrotechnic Separation Device by Mingfa Ren, Fei Weng, Jing Sun, Zhifeng Zhang, Zhiguo Ma, Tong Li

“…In this paper, cutting tests were carried out on CFRPs for the failure analysis of CFRPs under LSC, and nonlinear finite element analysis (FEA) was performed to characterize the evolution of LSC cutting in CFRPs. …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…Predicting the compressive strength (CS) is vital for achieving optimal performance. Given the nonlinear characteristics of supplementary cement material concrete (SCMC) mixtures, researchers are increasingly turning to machine learning methods. …”
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Compressive Strength Prediction of Alkali-Activated Slag Concretes by Using Artificial Neural Network (ANN) and Alternating Conditional Expectation (ACE) by Xiaoyu Qin, Qianmin Ma, Rongxin Guo, Zhigang Song, Zhiwei Lin, Haoxue Zhou

“…Compressive strength of alkali-activated slag (AAS) concrete is influenced by multi-factors in a nonlinear way. Both artificial neural network (ANN) and alternating conditional expectation (ACE) models of 3-day (3 d) and 28-day (28 d) compressive strength of AAS were established in this study by using the data reported in related literature, where alkali concentration of activator (Na2O%), modulus of activator (Ms), water/binder ratio (W/B), surface area of slag (SA), and basicity index of slag (Kb) were taken as input parameters. …”
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CALCULATION OF STATIC PARAMETERS OF SILICON DIODE CONTAINING δ-LAYER OF TRIPLE-CHARGED POINT DEFECTS IN SYMMETRIC p–n-JUNCTION by N. A. Poklonski, A. I. Kovalev, N. I. Gorbachuk, S. V. Shpakovski

“…It was assumed that the cross-section for v-band hole capture on t-defects is greater than the cross-section for c-band electron capture on t-defects.The system of stationary nonlinear differential equations, which describe in the drift-diffusion approximation a migration of electrons and holes in semiconductors, is solved numerically. …”
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Decoupled level and flow rate control of a two-tank system in beverage production: A comparative analysis of Fuzzy-PID and GA-PID for minimum time operation. by Tamiru Demelash Kassie, Mebratu Sintie Geremew, Kassahun Ashagrie Chanie

“…Due to the nonlinear characteristics of the valves and the interactions between the controlled variables, designing a control system for coupled tanks is a difficult task. …”
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A Group-Based Signal Timing Optimization Model Considering Safety for Signalized Intersections with Mixed Traffic Flows by Fen Wang, Keshuang Tang, Keping Li, Zhigang Liu, Lin Zhu

“…Then, the multiobjective optimization issue was formulated as a nonlinear program and solved by a Nondominated Sorting Genetic Algorithm. …”
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Using a Synthetic Borehole Model to Determine the Pore Aspect Ratio Dependence of Velocities from Acoustic Well-Logging Data by Xiao Feng, Tianyang Li, Bingrui Du, Wenxin Kong

“…The change of VP/VS in different pore AR is more responsive to porosity and nonlinear dependent on the pore AR. The relationship between the defined normalized VP and VS indicates the pore AR has a more significant effect on VS than VP in our model. …”
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Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness by Ruixian Qin, Junxian Zhou, Bingzhi Chen

“…The validation of a numerical analysis model for a UT honeycomb under axial loading is implemented by a nonlinear finite element code LS-DYNA (V971). Furthermore, the multiobjective crashworthiness optimization of an FGT honeycomb subjected to axial quasi-static compression is conducted to maximize specific energy absorption (SEA) and minimize peak crashing force (PCF). …”
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Study on the temperature prediction model of residual coal in goaf based on ACO-KELM by ZHAI Xiaowei, WANG Chen, HAO Le, LI Xintian, HOU Qinyuan, MA Teng

“…Existing studies on the temperature prediction of residual coal in goafs have mainly focused on the relationship between temperature and gas concentration, with limited attention given to the complex nonlinear relationships between the residual coal temperature in the goaf, the distance from the working face, and the air leakage velocity. …”
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Analysis of the Strategic Emission-Based Energy Policies of Developing and Developed Economies with Twin Prediction Model by Yulian Jiang, Wuchang Wei, Ramesh Chandra Das, Tonmoy Chatterjee

“…One is the Box–Jenkins method, where linear nature of the two variables is considered and the other is artificial neural network methods where nonlinear nature of the variables is also considered. …”
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A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…Traditional electromagnetic environment effect prediction methods mostly use a single model of mathematical model and machine learning, but the traditional prediction method has poor processing nonlinear ability and weak generalization ability. …”
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Application of EMD Technology in Leakage Acoustic Characteristic Extraction of Gas-Liquid, Two-Phase Flow Pipelines by Jian Ji, Yuxing Li, Cuiwei Liu, Dongxu Wang, Huafei Jing

“…When the liquid flow is maintained constant, the energy values of the IMF components change in a nonlinear manner when the gas flow rate increases. …”
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Study of the Windowing and Overlap-Add Operation for a Super-Gaussian Random Vibration Test by Yiming Peng, Yang Li

“…A window function is recommended for zero-memory nonlinear (ZMNL) transformation to move the positions of the high-excursion peaks of a super-Gaussian signal, providing a novel way of adjusting kurtosis when WOA method is applied. …”
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Evidence of Exponential Speed-Up in the Solution of Hard Optimization Problems by Fabio L. Traversa, Pietro Cicotti, Forrest Sheldon, Massimiliano Di Ventra

“…Then, we solve its associated nonlinear ordinary differential equations numerically, towards the equilibrium points. …”
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Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China by Ranghu Wang, Nan Wang, Yingchao Fan, Huan Sun, Hanpei Fu, Jiuchun Yang

“…The interactions among most driving factors showed nonlinear enhancement. The influence of the interaction between lithology and soil type appeared to be the largest. …”
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Thermal Analysis of a Casson Boundary Layer Flow over a Penetrable Stretching Porous Wedge by Dur-e-Shehwar Sagheer, Mohammad Alqudah, Nawal A. Alshehri, M. Sabeel Khan, M. Asif Memon, R. Shehzad, Amsalu Fenta

“…The modeled problem is a set of PDEs, which is nondimensionalized to derive a nonlinear boundary value problem (BVP). The obtained BVP is solved using the shooting technique, endowed with the order four Runge-Kutta and Newton methods. …”
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Application and Analysis of an Ionic Liquid Gel in a Soft Robot by Chenghong Zhang, Bin He, Zhipeng Wang, Yanmin Zhou, Aiguo Ming

“…An ILG soft actuator was designed, the material preparation principle was expounded, and the design method of the soft robot mechanism was discussed. Based on nonlinear finite element theory, the deformation mechanism of the ILG actuator was deeply analyzed and the deformation of the soft robot when grabbing an object was also analyzed. …”
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