Rationale and design of a prospective study evaluating population pharmacokinetics and pharmacodynamics of rivaroxaban in Chinese patients with non-valvular atrial fibrillation by Ming-Ming Yan, Xiao-Qin Liu, Yu-Fei Zhang, Hong-Yan Ding, Ming-Kang Zhong, Chun-Lai Ma

“…Follow-up will be conducted following 3 and 6 months after enrolment to collect information about the safety and efficacy outcomes. A nonlinear mixed-effects modelling strategy will be used to develop a population PK-PD model of rivaroxaban.Ethics and dissemination The study has been approved by the Ethics Committee of Huashan Hospital, Fudan University (KY2020-016). …”
Get full text

Experimental Investigation on the Behavior of Iron Powder-Reinforced Sand under Electromagnetic Field by Ying Lai, Bin Zhu, Xiangtian Xu

“…The comparison showed that the revised model can better capture the nonlinear stress-strain behavior of the specimens. …”
Get full text

Exploring homotopy with hyperspherical tracking to find complex roots with application to electrical circuits by Sandoval-Hernandez Mario A., Jimenez-Islas Hugo, Vazquez-Leal Hector, Quemada-Villagómez Miriam L., Lopez-Gonzalez María de la Luz

“…In the field of applied sciences, systems are frequently modeled using mathematical frameworks that include systems of nonlinear algebraic equations. Identifying their roots, whether real or complex, is of critical importance. …”
Get full text

Interpretable DWT-1DCNN-LSTM Network for Power Quality Disturbance Classification by Shuangquan Yang, Tao Shan, Xiaomei Yang

“…In addition, a large number of nonlinear loads are connected to the grid, resulting in frequent power quality disturbances (PQDs), which pose challenges to the stability and reliability of the power system. …”
Get full text

Long-term Characterization of Urban PM10 in Hungary by Zita Ferenczi, Kornélia Imre, Mónika Lakatos, Ágnes Molnár, László Bozó, Emese Homolya, András Gelencsér

“…In this study, the Kolmogorov-Zurbenko (KZ) filter was used for this type of trend separation. Moreover, multiple nonlinear regression analysis was used to find relationships between the PM10 concentration and several meteorological parameters. …”
Get full text

Effect of Admission Serum Calcium Levels and Length of Stay in Patients with Acute Pancreatitis: Data from the MIMIC-III Database by Dongyan Wang, Xiaoyan Guo, Wenwen Xia, Zhijuan Ru, Yihai Shi, Zhengyu Hu

“…RCS showed a significant nonlinear negative correlation between blood calcium levels and the LOS (p<0.001). …”
Get full text

Rainfall warning Based on indexs teleconnection, Synoptic Patterns of Atmospheric Upper Levels and Climatic elements a case study of Karoun basin by iran salehvand, amir gandomkar, ebrahim fatahi

“…For precipitation modeling, the monthly rainfall data of the Hamadid and Baranzadeh station in the statistical period (1984-2014) for 30 years as a dependent variable and climatic indexes, large-scale climatic signals including sea surface temperatures and 1000 millimeter temperatures Altitude of 500 milligrams, 200 milligrams of omega and climatic elements have been used as independent variables. Due to the nonlinear behavior of rainfall, artificial neural networks were used for modeling. …”
Get full text

Predictive Modeling of Total Real and Reactive Power Losses in Contingency Systems Using Function-Fitting Neural Networks with Graphical User Interface by Alfredo Bonini Neto, Alexandre de Queiroz, Giovana Gonçalves da Silva, André Gifalli, André Nunes de Souza, Enio Garbelini

“…ANN models excel at capturing the nonlinear behavior of power systems, eliminating the need for iterative methods commonly used in traditional approaches. …”
Get full text

A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The optimization problem represented in this paper is a large-scale non-convex mixed integer nonlinear programming problem with multiple local minima. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Self-organization of the stock exchange to the edge of a phase transition: empirical and theoretical studies by Andrey Dmitriev, Andrey Dmitriev, Andrey Lebedev, Vasily Kornilov, Victor Dmitriev

“…Our study is based on the hypothesis that stock exchanges, being nonlinear, open and dissipative systems, are capable of self-organization to the edge of a phase transition. …”
Get full text

Effects of two different cooling impact treatments on the thermal damage and mechanical properties of high-temperature granite by Xingchen Liu, Feng Huang, Aichen Zheng, Dong Yang

“…The mass of the exfoliated rock debris was nonlinear and positively correlated with the heating temperature. …”
Get full text

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. …”
Get full text

Tailoring coherent beam combined laser pulse trains for high peak and average power applications by Claude-Alban Ranély-Vergé-Dépré, Corentin Lechevalier, Jordan Andrieu, Ihsan Fsaifes, Igor Jovanovic, Jean-Christophe Chanteloup

“…We address the task of independent peak versus average power adjustment needed for applications seeking to decouple nonlinear phenomena associated with GW peak power from the thermal load inherent to kW average power operation. …”
Get full text

A Novel and Efficient Iterative Approach to Approximating Solutions of Fractional Differential Equations by Doaa Filali, Nidal H. E. Eljaneid, Adel Alatawi, Esmail Alshaban, Montaser Saudi Ali, Faizan Ahmad Khan

“…This study presents a novel and efficient iterative approach to approximating the fixed points of contraction mappings in Banach spaces, specifically approximating the solutions of nonlinear fractional differential equations of the Caputo type. …”
Get full text

Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks by Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim

“…In addition, comparisons against other machine learning (ML) methods—such as Support Vector Machines, Random Forest, Gradient Boosting, and Ridge Regression—demonstrate the present ANN model’s superior ability to capture intricate nonlinear interdependencies between vessel motions and environmental conditions.…”
Get full text