A Nonlinear Prognostic Model Based on the Wiener Process with Three Sources of Uncertainty by Huifang Niu, Jianchao Zeng, Hui Shi, Bin Wang, Tianye Liu

“…Results demonstrate that our method improves model fit and increases the accuracy of the lifetime estimation.…”
Get full text

Numerical analysis of an incompressible soft material poromechanics model using $\tt {T}$-coercivity by Barré, Mathieu, Grandmont, Céline, Moireau, Philippe

“…This article is devoted to the numerical analysis of the full discretization of a generalized poromechanical model resulting from the linearization of an initial model fitted to soft tissue perfusion. Our strategy here is based on the use of energy-based estimates and $\tt {T}$-coercivity methods, so that the numerical analysis benefits from the essential tools used in the existence analysis of the continuous-time and continuous-space formulation. …”
Get full text

A Novel Prediction Method of Dynamic Wall Pressure for Silos Based on Support Vector Machine by Hanhua Yu, Zhijun Xu, Tingting Liu, Fang Yuan

“…Comparing the results of the proposed prediction model with the results of experiment methods and simulation methods, it can be found that the SVM prediction model shows high accuracy and high generalization ability, and the prediction results of the model fit well with the results of experiment and simulation methods. …”
Get full text

Validity and reliability of the Manchester Oxford Foot Questionnaire (MOXFQ) in one-year postoperative ankle fracture patients—a validation study by Michael Quan Nguyen, Marjolein Memelink Iversen, Knut Harboe, Ingvild Dalen, Aksel Paulsen

“…Results A confirmatory factor analysis of the three-factor model of the MOXFQ had a good model fit (TLI 0.94; CFI 0.95; RMSEA 0.094; SRMR 0.039). …”
Get full text

Prediction of optimal growth parameters of barley seedling based on Kalman filter and multilayer perceptron by Yunlong HUANG, Zhengquan LI, Yujia SUN

“…In order to improve the quality and planting efficiency of barley seedlings in the growth chamber, the Kalman filter algorithm was firstly used to process the data collected by the sensor, which effectively reduced the influence of environmental factors and the error of the sensor itself, improved the accuracy of the collected data, and ensured the precise control in the growth chamber and accurate test data.Then multiple nonlinear regression, radial basis function and multilayer perceptron neural network were used to analyze the average growth height, seedling weight and seed weight of barley seeds about 160 hours after germination under different conditions.The drying ratio was analyzed and compared.The results show that the multi-layer perceptron network model fits the data best.Using this model to predict the average height of barley seedlings and the ratio of seedling weight of barley seedlings in the optimal environment is basically consistent with the actual planting effect, which provides a certain reference for the planting of barley seedlings in the growth chamber.…”
Get full text

Low ITN utilization among households in SWEPR Ethiopia: challenge for malaria elimination, a mixed design approach by Wondwossen Niguse, Bezuayehu Alemayehu, Tadesse Gebremedhin, Mathewos Alemu, Girma Mamo, Ephrem Negeri, Ibrahim Temam, Haile Zewdie, Tamirat Bogale, Erkyihun pawulos, Endale Sahlie

“…The multicollenearity between independent variables and model fitness were checked by using the variable inflation factor (VIF) and Hosmer Lemeshow model fitness test, respectively. …”
Get full text

Relationships between paddock-level pasture mass and cow data derived from GPS and behavior-monitoring on-animal sensors in rotationally grazed dairy systems by S.J. Hendriks, M. Qasim, J.P. Edwards

“…Further, including both location and behavior, model fit improved due to greater variation in pasture mass explained by these independent variables. …”
Get full text

Adsorption isotherms and kinetics of vanadium by shale and coal waste by George William Kajjumba, Serdar Aydın, Sinan Güneysu

“…The adsorption kinetics are best described by pseudo-second order, while Langmuir model fits the adsorption isotherm for both adsorbents. …”
Get full text

PREDICTORS OF M-CONTINUANCE INTENTION: CASE OF USERS IN BOSNIA AND HERZEGOVINA by Amra Grcić, Ensar Mekić

“…For confirmatory factor analysis purpose, individual evaluation of items, variables as well as model fit was made. The results indicated that the effects of consumer innovativeness and social influence on m-continuance intention were significant and positive. …”
Get full text

Equilibrium and Kinetic Adsorption of Organic Compounds onto Organobentonite: Application of a Surface Diffusion Model by Raúl Ocampo-Pérez, Roberto Leyva-Ramos, Erika Padilla-Ortega

“…The surface diffusion model fitted the experimental data quite well, thereby indicating that the overall rate of adsorption was controlled by surface diffusion. …”
Get full text

A Laboratory‐Validated, Graph‐Based Flow and Transport Model for Naturally Fractured Media by Collin R. Sutton, Christopher Zahasky

“…Model network complexity, determined by the number of nodes and edges, significantly impacts model fit to observed data. Large graphs over‐describe a fracture plane and act similarly to a porous medium while small graphs oversimplify the solute transport behavior. …”
Get full text

Optimization and characterization of mushroom-derived flocculants for reducing turbidity in clay suspensions by Aghareed M. Tayeb, Reham H. Othman, Nasser A. M. Barakat, Aliaa M. Monazie, Mohamed A. Mahmoud

“…Response Surface Methodology (RSM) is used to optimize the values of the operating parameters and the results of the model fitted well with the experimental results.…”
Get full text

Relaxing the confirmatory factor model in the Big Five: Exploratory, Bayesian, and machine learning approaches by Jacob S. Gray

“…The models were compared with regards to model fit, factor loadings, and factor correlations. …”
Get full text

Separation of Mercury(II) from Aqueous Solution by Adsorption onto an Activated Carbon Prepared from by K. Kadirvelu, P. Kanmani, P. Senthilkumar, V. Subburam

“…Both the Freundlich and Langmuir adsorption isotherm models fitted the experimental data well. The adsorption capacity was found to be 28.4 mg/g at pH 5 for a particle size of 125–180 μm. …”
Get full text

Dimensional Model for Estimating Factors influencing Childhood Obesity: Path Analysis Based Modeling by Maryam Kheirollahpour, Shamarina Shohaimi

“…Concerning the methodology of the current study, confirmatory factor analysis (CFA) was applied to reveal the hidden (secondary) effect of socioeconomic factors on feeding practice and ultimately on the weight status of the children and also to determine the degree of model fit. The comprehensive structural model tested in this study suggested that there are significant direct and indirect relationships among variables of interest. …”
Get full text

PREDICTORS OF M-CONTINUANCE INTENTION: CASE OF USERS IN BOSNIA AND HERZEGOVINA by Amra Grcić, Ensar Mekić

“…For confirmatory factor analysis purpose, individual evaluation of items, variables as well as model fit was made. The results indicated that the effects of consumer innovativeness and social influence on m-continuance intention were significant and positive. …”
Get full text

Exploring Influencing Factors of Intercity Mode Choice from View of Entire Travel Chain by Xiaowei Li, Siyu Zhang, Yao Wu, Yuting Wang, Wenbo Wang

“…The results show that the Bayesian mixed multinomial logit model outperforms the traditional Bayesian multinomial logit model, indicating that accommodating the unobserved heterogeneity across observations can improve the model fit. The model estimation results show that ticket purchasing method, comfort, punctuality, and access time are random parameters that have heterogeneous effects on intercity travel mode choice.…”
Get full text

Synthesis of Magnetic Halloysite Composites for the Effective Removal of Tetracycline Hydrochloride from Aqueous Solutions by Weisheng Guan, Xu Wang, Jianming Pan, Junru Lei, Ya Zhou, Chenchen Lu, Yongsheng Yan

“…The Langmuir isotherm model fitted to equilibrium data better than the Freundlich model. …”
Get full text

DEVELOPMENT OF A METHOD TO EVALUATE THE EFFICIENCY OF NANOSCALE ZERO-VALENT IRON (NZVI) TO DEGRADE POLLUTANTS by Giovana Arrighi Ferrari, Felipe Santana de Oliveira Cruz, Renata Pereira Lopes Moreira, Gustavo Alves Puiatti, Luiza Dumont de Miranda Moraes, André Fernando Oliveira

“…The optimization using Factorial Planning obtained the optimal condition, CMO = 5.98 mol L-1 and DnZVI = 0.56 g L-1. The Boltzmann model fitted the results obtained (R2 = 0.993). Finally, a mathematical relationship was obtained that provided equivalent doses of L01 and L02 in relation to the Standard. …”
Get full text

Health-Related Quality of Life in Long COVID: Mapping the Condition-Specific C19-YRSm Measure Onto the EQ-5D-5L by Smith AB, Greenwood DC, Williams P, Kwon J, Petrou S, Horton M, Osborne T, Milne R, Sivan M

“…Correlation and linear regression analyses were applied to determine items from the C19-YRSm and covariates for inclusion in the algorithm. Model fit, mean differences across the range of EQ-5D-3L utility scores, and Bland-Altman plots were evaluated. …”
Get full text