Influenza A virus vaccine research conducted in swine from 1990 to May 2018: A scoping review. by Sheila Keay, Zvonimir Poljak, Mackenzie Klapwyk, Annette O'Connor, Robert M Friendship, Terri L O'Sullivan, Jan M Sargeant

“…Study of transmissibility under conditions of natural exposure (n = 7), use of mathematical modelling (n = 11), and autogenous vaccine research reported in journals (n = 7), was limited.…”
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Second order slip micropolar MHD hybrid nanofluid flow over a stretching surface with uniform heat source and activation energy: Numerical computational approach by Syed Arshad Abas, Hakeem Ullah, Mehreen Fiza, Ali Akgul, Aasim Ullah Jan, Magda Abd El-Rahman, Seham M. Al-Mekhlafi

“…Methodology: A mathematical model is formulated based on boundary-layer approximations, leading to a system of partial differential equations (PDEs) that describe the flow, thermal, and concentration fields. …”
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A retrial queueing system with processor sharing and impatient customers by V. I. Klimenok

“…The problem of constructing and investigating a mathematical model of a stochastic system with processor sharing, repeated calls, and customer impatience is considered. …”
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Neural Networks Application for the Data of PID Controller for Acrobot by Nguyen Cong Danh

“…Control an Acrobot system, including Neural Network Application for the data of the PID controller (closed form). Mathematical models, Simulink, are also presented specifically through this study. …”
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Forecasting models for leprosy cases: a scoping review protocol by Bruna Oliveira Ascef, Gustavo Laine Araújo de Oliveira, Carmelita Ribeiro Filha Coriolano, Haliton Alves De Oliveira Junior

“…Introduction Leprosy is a neglected tropical disease caused by Mycobacterium leprae that mainly affects the skin, the peripheral nerves, the mucosa of the upper respiratory tract and the eyes. Mathematical models and statistical methodologies could play an important role in decision-making and help maintain the gains in elimination programmes. …”
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Model of forecasting of material resources and estimated cost at early stages of life cycle of construction objects by M. V. Gureev, A. N. Makarov

“…To prepare and train AI models based on Python, the methods of the scikit-learn library were selected to compare the following mathematical models: decision trees, regressions and algorithms based on boosting.Results. …”
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The Effect of Interlayer on Water Cut Rise in a Bottom Water Reservoir by Yunpeng Hu, Xiaoling Zhang, Wei Ding, Ziyun Cheng, Liangchao Qu, Penghui Su, Chunliu Sun, Wenqi Zhang

“…In this paper, the mathematical model of two-phase flow in the bottom water reservoir with the interlayer is proposed, and the numerical solution of the model is obtained by a finite element method. …”
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Multi mode coordinated control algorithm for DC near-field photovoltaic based on adaptive mutation particle swarm optimization by Hua Weng, Weijun Zhu, Jun Wu

“…The operation of distributed photovoltaic system is divided into five modes: single-machine reactive power regulation, multi-machine reactive power coordination, active power reduction mode in multi machine systems, Existing power recovery models and reactive power recovery mode; So the mathematical model of the inverter main controller is constructed, using adaptive mutation particle swarm optimization algorithm to solve the model, in order to improve solving efficiency and accuracy Committed to overcoming the limitations of slow convergence speed and susceptibility to local optima in particle swarm optimization algorithms, in order to optimize algorithm performance, when optimizing the particle swarm optimization algorithm, synchronously tuning the learning factor and inertia weight parameters is aimed at accelerating the convergence process and improving the accuracy of the algorithm. …”
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Lie and Riccati Linearization of a Class of Liénard Type Equations by A. G. Johnpillai, C. M. Khalique, F. M. Mahomed

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A New Sixth-Order Finite Difference Compact Reconstruction Unequal-Sized WENO Scheme for Nonlinear Degenerate Parabolic Equations by Liang Li, Yan Zhang, Jun Zhu

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Spare Parts Inventory Optimization for Military Vehicles Using a Mixed Probability Distribution by Mojtaba Salehi, Mojtaba Omidvar, Shohreh Shariati

“…Design/methodology/approach: First, based on the literature review and selected basic articles, the research gaps have been identified, and accordingly, a mathematical model has been developed and solved to optimize the spare parts of military vehicles. …”
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A novel 3D analytical model and numerical study of bimorph piezoelectric actuators in d33 mode by A. Almusallam, M.A. Belaid

“…This paper presents a detailed 3D mathematical model for the representative volume element (RVE) of bimorph d33-mode piezoelectric actuators, to examine the intensity and distribution of the electric field Ep and strain S within the piezoelectric material across different planes and under varying conditions. …”
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Energy efficiency and indoor climatic conditions in buildings: dynamic modeling for systemic improvement by Inna Bilous, Dmytro Biriukov, Tatiana Eutukhova, Oleksandr Novoseltsev, Volodymyr Voloshchuk, Aleksejs Prozuments

“…Based on the developed mathematical models, the dynamic modes of building energy supply systems are studied and recommendations for improving their efficiency are given. …”
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Development of Curcumin Encapsulated Liposomes in Chlorhexidine-Loaded Organogel Using Ternary Phase Systems for Treatment of Omphalitis in Infants by Ibilola Mary Cardoso-Daodu, Margaret Okonawan Ilomuanya

“…The in vitro release profile best fits the Higuchi mathematical model implying that curcumin release was by diffusion and dissolution mechanism. …”
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Thermal performance of Falkner Skan model (FSM) for (GOMoS2)/(C2H6O2-H2O) 50:50% nanofluid under radiation heating source by Mutasem Z. Bani-Fwaz, Adnan, Sami Ullah Khan, B. Shankar Goud, Tadesse Walelign, Kanayo Kenneth Asogwa, Iskander Tlili

“…Further, the improved thermal-physical characteristics of hybrid nanofluids will use to enhance the thermal productivity. A mathematical model is developed for the flow situation of (GO-MoS2)/(C2H6O2-H2O) and treated numerically. …”
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Enhancing unity-based AR with optimal lossless compression for digital twin assets. by Mohammed Hlayel, Hairulnizam Mahdin, Mohammad Hayajneh, Saleh H AlDaajeh, Siti Salwani Yaacob, Mazidah Mat Rejab

“…This study also creates mathematical models for predicting resource utilization, like RAM and CPU time, required by AR mobile applications. …”
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Aurora B inhibition induces hyper-polyploidy and loss of long-term proliferative potential in RB and p53 defective cells by Shivam Vora, Saptarshi Chatterjee, Ariel Andrew, Ramyashree Prasanna Kumar, Martina Proctor, Zhen Zeng, Rituparna Bhatt, Deborah Nazareth, Madushan Fernando, Mathew J. K. Jones, Yaowu He, John D. Hooper, Nigel A. J. McMillan, Jelena Urosevic, Jamal Saeh, Jon Travers, Daniela Cimini, Jing Chen, Brian Gabrielli

“…However, when AURKB inhibitor was removed after 1 day and cells had failed a single cytokinesis to become tetraploid, they retained colony forming ability and long-term proliferative potential. Mathematical modelling of the potential for polyploid cells to produce viable daughter cells demonstrated that cells with >8n DNA and >4 functional spindle poles approach zero probability of a viable daughter, supporting our experimental observations. …”
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Ultrasonic and Microwave-assisted Solid-Liquid Extraction of Ginkgo biloba Phenolics: Study about Mass Transfer and PID Control by Chi XU, Hebin XU, Rui ZHU, Jing LI, Dandan LI, Yongbin HAN, Yi ZHENG, Yang TAO

“…A diffusion-based mathematical model was developed to explore the mass transfer mechanism about the studied extraction processes, and PID control algorithms were implemented to accurately control the extraction process. …”
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Influence of Wellbore Dogleg Severity on Drilling Friction in Horizontal Wells by Shitang Chen, Gui Hu, Xueqin Huang, Guohui Zhang, Xinyun Liu

“…Aiming at this issue, a mathematical model for computing the radial force caused by axial tension, string bending, and gravity of the string was established. …”
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Generalization of stochastic mortality models to improve mortality prediction in life insurance and pension funds by Shirin Shoaee, Mohammad Mehdi Gholi Keshmarzi

“…Therefore, the accuracy of mathematical models in predicting mortality rates is an important challenge. …”
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