An ENSO-Forecast Independent Statistical Model for the Prediction of Annual Atlantic Tropical Cyclone Frequency in April by Kenny Xie, Bin Liu

“…As a result, the predictions from such models are often contaminated by the errors in ENSO forecasts. …”
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Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling by Eliott Park, Saeed Izadi

“…However, the predictive power and reproducibility of such methods depend heavily on the selection of molecular descriptors, model parameters, accuracy of predicted structure models, and conformational sampling techniques. …”
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Assessing Vulenerabilty of Karstic Aquifers in Kermanshah Plain and Bistoon-Parao Mass Using COP Model by amjad maleki, sajad bageri, sara mataee

“…Estimation of amount and vulnerability mapping of aquifers in the karst religion of Bistoun- Paraw – Kermanshah plain against poullution emissions using the COP model are theaims of this study. This model using of three parameters - covering layer (O), concentration of flow (C) and regime of precipitation (P) - assesses the vulnerability of karst water resources against pollution. …”
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A constitutive model for coal gangue coarse-grained subgrade filler incorporating particle breakage by Zong-Tang Zhang, An Liu, Si-Chun Yu, Shun-Kai Liu, Chuan-Feng Fang, Ze Liu, Wei Hu

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Immunotherapeutic Potential of Mollusk Hemocyanins in Combination with Human Vaccine Adjuvants in Murine Models of Oral Cancer by Juan José Mora Román, Miguel Del Campo, Javiera Villar, Francesca Paolini, Gianfranca Curzio, Aldo Venuti, Lilian Jara, Jorge Ferreira, Paola Murgas, Alvaro Lladser, Augusto Manubens, María Inés Becker

“…The immunogenic performance of the hemocyanins in combination with the adjuvants was compared, and the best formulation was evaluated for its antitumor effects in two murine models of oral cancer: MOC7 cells implanted in the flank (heterotopic) and bioluminescent AT-84 E7 Luc cells implanted in the floor of the mouth (orthotopic). …”
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Performance Analysis of Switched Control Systems Under Common-source Digital Upsets Modeled by MDHMM by Rui Wang, Yanxiao Li, Hui Sun, Youmin Zhang, Yigang Sun

“…This paper proposes the theoretical model to analyze the performance degradation of control systems subject to common-source digital upsets. …”
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Mesoscopic Numerical Simulation of Fracture Process and Failure Mechanism of Concrete Based on Convex Aggregate Model by Yijiang Peng, Xiyun Chen, Liping Ying, Ying Chen, Lijuan Zhang

“…A two-dimensional random convex aggregate model was established using the principle of the area equivalence method. …”
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On the Boundedness of the Numerical Solutions’ Mean Value in a Stochastic Lotka–Volterra Model and the Turnpike Property by Cutberto Romero-Meléndez, David Castillo-Fernández, Leopoldo González-Santos

“…In this paper, we study some properties of the solutions of a stochastic Lotka–Volterra predator-prey model, namely, the boundedness in the mean of numerical solutions, the strong convergence for this kind of solutions, and the turnpike property of solutions of an optimal control problem in a population modelled by a Lotka–Volterra system with stochastic environmental fluctuations. …”
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An Experimental and Modeling Study on the Response to Varying Pore Pressure and Reservoir Fluids in the Morrow A Sandstone by Aaron V. Wandler, Thomas L. Davis, Paritosh K. Singh

“…Modeling shows how P- and S-waves have a different time-lapse amplitude response with offset. …”
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Development of a novel physics-informed machine learning model for advanced thermochemical waste conversion by Surika van Wyk

“…The developed physics-informed model demonstrated the potential of ML models for the modelling of gasification of various waste streams. …”
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A Two-Pathway Mathematical Model of the LH Response to GnRH that Predicts Self-Priming by J. J. Evans, T. M. Wilkinson, D. J. N. Wall

“…An acute response of LH to a stimulatory pulse of GnRH is modelled as a result of a pathway (Pathway I) that consists of two compartments including a single (rate limiting) intermediate. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

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A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models by Naseer Ahmed Khan, Xuequn Shang

“…This study investigated the impact of brain atlas selection on the classification accuracy of Autism Spectrum Disorder (ASD) models using functional Magnetic Resonance Imaging (fMRI) data. …”
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Robust Stabilization Control Based on Guardian Maps Theory for a Longitudinal Model of Hypersonic Vehicle by Yanbin Liu, Mengying Liu, Peihua Sun

“…A typical model of hypersonic vehicle has the complicated dynamics such as the unstable states, the nonminimum phases, and the strong coupling input-output relations. …”
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Vulnerability Assessment for Excessive Acceleration Failure Mode of an Indonesian Ro-Ro Ferry by Model Experiment by Daeng Paroka, Andi Haris Muhammad, Sabaruddin Rahman

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Effect of Intervention of Vaccination and Treatment on the Transmission Dynamics of HBV Disease: A Mathematical Model Analysis by Firaol Asfaw Wodajo, Temesgen Tibebu Mekonnen

“…In this paper, we present characteristics of HBV virus transmission in the form of a mathematical model. We proposed and analyzed a compartmental nonlinear deterministic mathematical model SEACTR for transmission dynamics and control of hepatitis B virus disease. …”
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Design of a new hydrokinetic turbine simulation model based on the extended power coefficient concept by Manuel Rico-Secades, Antonio Javier Calleja-Rodríguez, Aitor Fernández-Jiménez, Eduardo Álvarez-Álvarez, Fher Said Macedo-Garcia, Jaime Arau-Roffiel

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Do land models miss key soil hydrological processes controlling soil moisture memory? by M. A. Farmani, A. Behrangi, A. Behrangi, A. Gupta, A. Tavakoly, A. Tavakoly, M. Geheran, G.-Y. Niu

“…<p>Soil moisture memory (SMM), which refers to how long a perturbation in soil moisture (SM) can last, is critical for understanding climatic, hydrological, and ecosystem interactions. Most land surface models (LSMs) tend to overestimate surface soil moisture and its persistency (or SMM), sustaining spuriously large soil surface evaporation during dry-down periods. …”
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A Coordination Model for Improving Software System Attack-Tolerance and Survivability in Open Hostile Environments by Shangping Ren, Yue Yu, Kevin A. Kwiat, Jeffrey Tsai

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Design and Experimental Validation of a Model-Free Controller for Beam Stabilization in Adaptive Optics Systems by Sicheng Guo, Tao Cheng, Kangjian Yang, Lingxi Kong, Chunxuan Su, Shuai Wang, Ping Yang

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