SCIENTIFIC SUBSTANTIATION OF THE FUNCTIONAL MODEL OF PREVENTION OF DENTAL DISEASES AMONG THE ADULT POPULATION by O.I. Ruban, Yu.B. Yashchenko

Get full text

A Quality Function Deployment model: Application design for sauce bottle washer by Berty Dwi Rahmawati, Igh Bayogi Putra Pradana, Buna Rizal Rachman

Get full text

Nonequilibrium Molecular Velocity Distribution Functions Predicted by Macroscopic Gas Dynamic Models by Maksim Timokhin, Yevgeniy Bondar

“…The results of the local distribution function reconstruction from flow macroparameters for the models considered are compared with each other and with the reference solution. …”
Get full text

Reducing the Stochastic Coal Output Model Using the Convolution of Probability Density Functions by Ryszard Snopkowski, Marta Sukiennik, Aneta Napieraj

“…This article draws attention to the possibilities of reducing the stochastic model based on the use of the properties of the convolution of probability density functions. …”
Get full text

Modelling of cutting force relationship as a function of cutting conditions and tool wear by Pavel Kovač, Borislav Savković, Branislav Dudić

“…The relationships between cutting force components versus cutting conditions and tool wear parameters were mathematically expressed by models in powder form. Individual relationships of machining parameters as a function of cutting force changes are presented in graphical form, as well as a tabular presentation of the relationship between tool wear and cutting force components. …”
Get full text

Linking statistical shape models and simulated function in the healthy adult human heart. by Cristobal Rodero, Marina Strocchi, Maciej Marciniak, Stefano Longobardi, John Whitaker, Mark D O'Neill, Karli Gillette, Christoph Augustin, Gernot Plank, Edward J Vigmond, Pablo Lamata, Steven A Niederer

“…In the healthy adult human heart, shape modes that explain large portions of anatomical variance do not explain equivalent levels of electromechanical functional variation. As a result, in cardiac models, representing patient anatomy using a limited number of modes of anatomical variation can cause a loss in accuracy of simulated electromechanical function.…”
Get full text

Historical precipitation and flood damage in Japan: functional data analysis and evaluation of models. by Atsushi Wakai, Yasuaki Hijioka, Masayuki Yokozawa, Manabu Watanabe, Gen Sakurai

“…An analysis that considers precipitation as a time series may be appropriate for this purpose. Functional data analysis was applied to model the relationship between historical daily precipitation and daily flood damage for river basins in the Kanto and Koshin regions of Japan. …”
Get full text

Comparision of Kernel Functions in Geographically Weighted Regression Model: Suicide Data as an Application by Tuba Koç, Pelin Akın

“…In this study, the number of suicides data was used for Turkey’s 81 provinces in 2019.The effects of factors affecting suicide and spatial differences on suicide were analyzed and predicted with geographically weighted regression models (GWR). GWR models were applied with different kernel functions, and the best GWR model was found with the bisquare kernel function. …”
Get full text

A Nonlinear Constitutive Model for Disintegrated Carbonaceous Mudstone Based on Logarithmic Functions by Xiang Qiu, Jinhong Li, Huangbin Jiang, Hongyuan Fu, Shun Yang

“…Then, the nonlinear constitutive model suitable for the DCM was established based on test results using a logarithmic function. …”
Get full text

Functional Approaches to Scor Model in the Supply Chain Management Processes (Part I) by Gheorghe MINCULETE, Polixenia OLAR

Get full text

Establishing Functional Model of Photometric Performance of Trichromatic Light Sources in Chromaticity Diagrams by Qi Yao, Wanlu Zhang, Lu Zhang, Yu Bian

Subjects: Get full text

Base editors in zebrafish: a new era for functional genomics and disease modeling by Yuwen Liu, Chao Li, Yiren Qiu, Sihong Chen, Yijun Luo, Donghua Xiong, Jun Zhao, Jianmin Ye, Xuegeng Wang, Wei Qin, Fang Liang

“…As a powerful and efficient gene-editing tool, base editors (BEs) have been widely applied in various model organisms, including zebrafish (Danio rerio), to facilitate functional genomic studies and disease modeling. …”
Get full text

Modeling and Evaluation of Vibrational Behavior in Functionally Graded Ceramic-Metal Composite Beams by Ziadoon Mohammed Rahi, Hayder H. Khaleel

Get full text

Regression Modeling of Oxygen-Functionalized Single-Walled Carbon Nanotubes in Aqueous Dispersions by Hoa Le, Amos Abioye, Hai V. Nguyen, Adeboye Adejare

Get full text

Disrupted functional connectome in a rodent model of autism during social isolation by Robert Gergely Kemecsei, Robert Gergely Kemecsei, Szizel Dániel-Papp, David Barnabas Balazs, Estifanos Ghebrihiwet Tewelde, Andras Csillag, Gergely Zachar

“…Based on correlational activations we reconstructed and analyzed the functional connectome of the observed brain regions. …”
Get full text

Research on Topic Mining and Evolution Trends of Functional Agriculture Based on the BERTopic Model by Qiao Lin, Zhulin Xin, Shuang Peng, Ruixue Zhao, Yingli Nie, Youtao Chen, Xuebin Yin, Guojian Xian, Qiang Zhang

“…Based on the BERTopic model, this study analyzes 15,744 scientific papers in the field of functional agriculture from 1995 to 2024 to uncover core themes and evolutionary trends in global functional agriculture, and particularly focuses on revealing the developmental trajectory in China. …”
Get full text

Convolutional neural network model over encrypted data based on functional encryption by Chen WANG, Jiarun LI, Jian XU

“…Currently, homomorphic encryption, secure multi-party computation, and other encryption schemes are used to protect the privacy of sensitive data in outsourced convolutional neural network (CNN) models.However, the computational and communication overhead caused by the above schemes would reduce system efficiency.Based on the low cost of functional encryption, a new convolutional neural network model over encrypted data was constructed using functional encryption.Firstly, two algorithms based on functional encryption were designed, including inner product functional encryption and basic operation functional encryption algorithms to implement basic operations such as inner product, multiplication, and subtraction over encrypted data, reducing computational and communication costs.Secondly, a secure convolutional computation protocol and a secure loss optimization protocol were designed for each of these basic operations, which achieved ciphertext forward propagation in the convolutional layer and ciphertext backward propagation in the output layer.Finally, a secure training and classification method for the model was provided by the above secure protocols in a module-composable way, which could simultaneously protect the confidentiality of user data as well as data labels.Theoretical analysis and experimental results indicate that the proposed model can achieve CNN training and classification over encrypted data while ensuring accuracy and security.…”
Get full text

Structural and Functional Models for Building New Generation Automated and Robotic Dairy Farms by V. V. Kirsanov

“…(Conclusions) The authors developed methods, models, structural and functional schemes for modular construction of new generation automated and robotic dairy farms of various shapes and sizes. …”
Get full text

Selective EPAC1 activators enhance endothelial function in models of vascular inflammation by Neil MacRitchie, Danila Gurgone, Jolanta Wiejak, Graeme Barker, Paul Burgoyne, Frank Lezoualc’h, Pasquale Maffia, Stephen J. Yarwood

“…Vascular inflammation drives the progression of atherosclerosis and related cardiovascular disorders by impairing endothelial function. Here, we examine the role of EPAC1 - a cAMP-responsive sensor protein - in modulating vascular inflammation and injury using both in vitro and ex vivo models. …”
Get full text

Local Functional Coefficient Autoregressive Model for Multistep Prediction of Chaotic Time Series by Liyun Su, Chenlong Li

“…A new methodology, which combines nonparametric method based on local functional coefficient autoregressive (LFAR) form with chaos theory and regional method, is proposed for multistep prediction of chaotic time series. …”
Get full text