On the Optimal Control of HIV-TB Co-Infection and Improvement of Workplace Productivity by Baba Seidu, Oluwole Daniel Makinde, Ibrahim Yakubu Seini

“…In this paper, we present a nonlinear ordinary differential equation model to study the dynamics of HIV-TB co-infection and its effect on workforce productivity. …”
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Energy Evolution and Mechanical Features of Granite Subjected to Triaxial Loading-Unloading Cycles by Feng Pei, Hongguang Ji, Tongzhao Zhang

“…Dissipation energy increased nonlinearly with the strain, and the volume dilatancy point defined the turning point from a relatively slow growth to an accelerated growth of dissipation energy. …”
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A Comparison of Simplified Modelling Approaches for Performance Assessment of Piles Subjected to Lateral Spreading of Liquefied Ground by Yung-Yen Ko, Yu-Ying Lin

“…The lateral spreading of the ground due to liquefaction during earthquakes may considerably damage the embedded piles, which is an important issue in the seismic design of pile foundations. In this paper, nonlinear pseudostatic analyses were performed for the responses of piles subjected to actions of laterally spreading ground, which were modelled as flow displacement and flow pressure, respectively. …”
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Droplet Size Spatial Distribution Model of Liquid Jets Injected into Subsonic Crossflow by Luhao Liu, Lijun Yang, Qingfei Fu

“…Results indicate that in the surface breakup region, the current model shows great consistency with experimental observations while there exists a relatively large discrepancy between the current model and experimental observation in the column breakup region because of its strong nonlinear effect near the breakup point. In addition, the effects of flow parameters on droplet size spatial distribution have been investigated.…”
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Prediction of Passive Torque on Human Shoulder Joint Based on BPANN by Shuyang Li, Paolo Dario, Zhibin Song

“…The results revealed that the BPANN can learn the nonlinear relationship between the passive torque and the position of the shoulder joint and can make an accurate prediction without the need to build a force distribution function in advance, making it possible to draw up an assist-as-needed strategy with high accuracy while reducing the measurement burden of patients and physiotherapists.…”
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Improved Fractional Order VSS Inc-Cond MPPT Algorithm for Photovoltaic Scheme by R. Arulmurugan, N. Suthanthiravanitha

“…The nature of solar modules is nonlinear and therefore the proper impedance matching is essential. …”
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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Due to the complex and nonlinear nature of traffic flow time series, traditional methods of prediction tasks tend to ignore the heterogeneity and long series dependencies of spatio-temporal data. …”
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Long-Term Rainfall Information Forecast by Utilizing Constrained Amount of Observation through Artificial Neural Network Approach by Muhammed E. Akiner

“…Estimating models are becoming increasingly crucial in highlighting the nonlinear connections of the massive level of rough information and chaotic components. …”
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Study on Runoff and Climate Change Response of Upper and Middle Reaches of Xiuhe River Basin Based on SWAT Model by HUANG Yipeng, LIU Weilin, WAN Yifan, WEN Hongan, WU Bin, LIU Lina, ZHU Shengnan

“…Study on distributed hydrological simulation,model parameter sensitivity analysis and response of climate change to runoff are of important practical significance and scientific value for control of flood and drought disasters and distribution of water resources in the Xiuhe River Basin.Taking the upper and middle reaches of Xiuhe River Basin as research area,this paper builds the SWAT localization model to simulate runoff,and conducts the quantitative analysis on the response of runoff of Xiuhe River Basin to climate change with 55 climate scenarios (temperature increases or decreases 0~2℃,precipitation increases 0~60% or decreases 0~40%,respectively) as input of SWAT model.Results show that:In calibration period,the correlation coefficient R² is 0.87,and the Nash coefficient E_ns is 0.86,while,0.87 and 0.83 respectively in verification period,proving the high applicability of SWAT model in runoff simulation of Xiu River Basin;10% change of precipitation in Xiuhe River Basin has an impact on its runoff of 8.9%~10.7%;1℃ change of temperature has an impact on its runoff of only 0.3%~1.3%;precipitation is the main influencing factor of runoff change;after analyzing the climate scenario grid,when the precipitation is between -40% and +50%,the precipitation-temperature-runoff is basically linearly correlated,which can be presented by a plane function.In extreme precipitation cases,the relationship between temperature and runoff is nonlinear.…”
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Mathematical insights on psoriasis regulation: Role of Th1 and Th2 cells by Amit Kumar Roy, Priti Kumar Roy, Ellina Grigorieva

“…In this article, we have constructed a set of nonlinear differential equations involving the above cell population for better understanding the impact of cytokines on Psoriasis. …”
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Study on the Contact Stress Distribution Model of Asphalt Mixture Particles by Lei Wang, Xiucheng Yang

“…The relationship between the contact point distribution probability and the pressure was fitted into a nonlinear curve. The gradation of the mixture, the type of asphalt and the thickness of the asphalt film were used as parameters A, B, and C. …”
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A Convection Nowcasting Method Based on Machine Learning by Aifang Su, Han Li, Liman Cui, Yungang Chen

“…The addition of the optical flow information can more accurately simulate nonlinear trends such as the rotation, or merging, or separation of radar echoes. …”
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Differential game theory application in models of trade relations of Great Britain with Portugal and Russia with Belarus by I. V. Korolyov

“…The author composes and analyzes a system of four nonlinear ordinary differential equations with parameters, and their (dynamic) variation leads to the improvement of successive approximations of the exact solution, the finding of which is very problematic. …”
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Data-driven model discovery and model selection for noisy biological systems. by Xiaojun Wu, MeiLu McDermott, Adam L MacLean

“…Machine learning methods offer alternative means of model construction: differential equation models can be learnt from data via model discovery using sparse identification of nonlinear dynamics (SINDy). However, SINDy struggles with realistic levels of biological noise and is limited in its ability to incorporate prior knowledge of the system. …”
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Has Internet Usage Really Narrowed the Gender Wage Gap?: Evidence from Chinese General Social Survey Data by Jiacheng Gao, Yue Liu

“…The findings show that, firstly, in either linear or nonlinear effects, Internet usage has a significant wage premium effect on the male wage equation, and this premium effect increases as male wage income rises, but Internet usage consistently does not have a significant effect on the female wage equation. …”
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Greenhouse environmental monitoring and control system based on improved fuzzy PID and neural network algorithms by Guan Hongqiang

“…In addition, a prediction model for GhE monitoring is constructed using a backpropagation neural network to better predict nonlinear factors such as humidity, temperature, and light intensity in the GhE. …”
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A guidance to intelligent metamaterials and metamaterials intelligence by Chao Qian, Ido Kaminer, Hongsheng Chen

“…Owning to the strong nonlinear fitting and generalization ability, artificial intelligence is poised to serve as a materials-savvy surrogate electromagnetic simulator and a high-speed computing nucleus that drives numerous self-driving metamaterial applications, such as invisibility cloak, imaging, detection, and wireless communication. …”
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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…The CWCM approach generates precise results with better absolute error (Ae) for highly nonlinear scenarios by computing a small number of terms and avoiding data rounding. …”
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Semianalytical Solution for Large Deformation of Salt Cavern with Strain-Softening Behavior by Lina Ran, Huabin Zhang, Qingqing Zhang

“…The solution is derived by adopting the large deformation theory, considering the nonlinear Hoek–Brown (H-B) strength criterion. The Romberg method is used to carry out numerical calculation, and then, the large deformation law of displacement is analyzed. …”
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Shaking Table Tests for Seismic Response of Oblique Overlapped Tunnel by Hao Lei, Honggang Wu, Tianwen Lai

“…Additionally, the dynamic strain showed obvious nonlinear and nonstationary characteristics under the action of different degrees of seismic intensities. …”
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