Prediction of global solar radiation from sunrise hours using regression functions by Abd Al Karim Haj Ismail

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Industrial integration and value creation: a three-sector production function approach by Yufeng Hu, Zenglai Li, Youqiang Ding

“…We develop a three-sector production function by extending the classical two-sector function. …”
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Identification of the most suitable probability models for local joint flexibility in T/Y-connections stiffened with collar or doubler plates by Hossein Nassiraei

“…The reliability-based design of steel structures requires accurate probability density functions (PDFs) of the relevant random variables. …”
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Enhancing Atmospheric Turbulence Phase Screen Generation with an Improved Diffusion Model and U-Net Noise Generation Network by Hangning Kou, Min Wan, Jingliang Gu

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Classification Improvement with Integration of Radial Basis Function and Multilayer Perceptron Network Architectures by László Kovács

“…The radial basis function architecture and the multilayer perceptron architecture are very different approaches to neural networks in theory and practice. …”
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Application of GSN-based Security Argumentation Method in Product Functional Safety Assessment by XU Zhengjie, YIN Yuan, HUANG Aiping, TAN Qi, TAN Shaobo, CHEN Yao

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Loss of myotubularin function results in T-tubule disorganization in zebrafish and human myotubular myopathy. by James J Dowling, Andrew P Vreede, Sean E Low, Elizabeth M Gibbs, John Y Kuwada, Carsten G Bonnemann, Eva L Feldman

“…To advance the understanding of myotubularin function and disease pathogenesis, we have created a zebrafish model of myotubular myopathy using morpholino antisense technology. …”
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Passive dendrites enable single neurons to compute linearly non-separable functions. by Romain Daniel Cazé, Mark Humphries, Boris Gutkin

“…Finally, we show how linearly non-separable functions can be computed by a generic two-compartment biophysical model and a realistic neuron model of the cerebellar stellate cell interneuron. …”
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Neural oscillation in low-rank SNNs: bridging network dynamics and cognitive function by Bin Li, Tianyi Zheng, Reo Otsuki, Masato Sugino, Kenta Shimba, Kiyoshi Kotani

“…To address this, we construct a low-rank spiking neural network (low-rank SNN) based on the voltage-dependent theta model to explore how structured connectivity shapes oscillatory dynamics and cognitive function. …”
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Research on the Reliability of a Two-Robot Security System with Early Warning Function by Yuhong Cui, Youde Tao, Zongyang Li

“…In this paper, the mathematical model of a kind of two-robot security system with an early warning function is studied. …”
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Joint Probability Distribution of Wind–Wave Actions Based on Vine Copula Function by Yongtuo Wu, Yudong Feng, Yuliang Zhao, Saiyu Yu

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“Holiday heart” syndrome in rats: Features of microcirculation, functional state and anatomy of the heart by S. A. Kryzhanovskii, I. B. Tsorin, E. O. Ionova, M. B. Vititnova, S. A. Simonenko, L. G. Kolik

“…Studying the features of microcirculation, functional state and anatomy of the heart using the “Holiday Heart” syndrome model in rats we developed.Materials and methods. …”
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A functionally significant polymorphism in ID3 is associated with human coronary pathology. by Ani Manichaikul, Stephen S Rich, Heather Perry, Joseph Yeboah, Michelle Law, Molly Davis, Matthew Parker, Michael Ragosta, Jessica J Connelly, Coleen A McNamara, Angela M Taylor

“…In the current investigation, we characterize the association between the functionally significant polymorphism in ID3, rs11574, with human coronary pathology.…”
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Association of functional disability with cardiometabolic disease status in a national cohort study by Ping Ni, Fang Wang, Li Liu, Meiling Ge, Xiuying Hu

“…Model 2 and Model 3 produced similar results. Conclusions: Functional disability, particularly ADL and IADL disability, increases the risk of CMD status in Chinese middle-aged and older adults. …”
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Improving the functional and technological properties of minced pork using a proteolytic enzyme by A. A. Semenova, T. G. Kuznetsova, O. A. Seliverstova, M. N. Salikova, M. E. Spirina, Yu. M. Bukhteeva

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From Inequality to Extremes and Back: A Lorenz Representation of the Pickands Dependence Function by Pasquale Cirillo, Andrea Fontanari

“…Furthermore, the Pickands measure-generating function <i>M</i> can be written explicitly in terms of the quantile function underlying the Lorenz curve, providing a constructive route to model specification. …”
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RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution by Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis

“…However, in many cases, the initial training method used to fit the parameters of these models can produce poor results either due to unstable numerical operations or its inability to effectively locate the lowest value of the error function. …”
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Description of photoabsorption using photon strength function with the excitation of two resonance states by O. M. Gorbachenko, V. A. Plujko, A. I. Kucher, V. M. Petrenko

“…The response function widths dependent on gamma-ray energy were used instead of constant widths in the initial TSE model. …”
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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression by Shelan Saied Ismaeel, Kurdistan M.Taher Omar, Bo Wang

“…Then, when  the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables model, results are more preferable than the independent response method. …”
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Predictive Function Optimization Control for a Class of Hydraulic Servo Vibration Systems by Xugang Feng, Jiayan Zhang, Jing Wang, Shaokang Xiong, Qiling Wu, Yetai Fei

“…This paper is concerned with the problem of predictive function control (PFC) for a class of hydraulic vibration servo control systems. …”
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