A Model for Vehicle Routing Problem under Returns and Emission Consideration in B2C E-Commerce Logistics by Sedat Belbağ

“…This study addressed a mixed-integer linear programming model for a vehicle routing problem under returns and emission considerations in B2C e-commerce logistics.Methodology: This study proposes a mathematical model to solve a variant of the vehicle routing problem. …”
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MOTION PRECISION ANALYSIS OF PERMANENT MAGNET SYBCHRONOUS GRINDING MOTORIZED SPINDLE by GAO Feng, CHENG MingKe, LI Yan, HE PingPing, JIA WeiTao

“…Based on the spindle vibration error and thermal analysis,mathematical models of radial error motion,tilt error motion and axial error motion are established. …”
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Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life by Christopher Wett, Jörg Lampe, Dominik Görick, Thomas Seeger, Bugra Turan

“…Using the Python Battery Mathematical Modelling (PyBaMM) framework, synthetical partial open circuit voltage (OCV) charge and discharge curves are generated with an electrochemical single particle model for three different cathode chemistries and the initial state of charge and state of health values as well as the initial capacities are varied. …”
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Medium-term load forecasting with Power Market Survey: GEPCO case study by Sheeza Mariam Nawaz, Ubaid Ahmed, Adil Amin, Syed Afraz Hussain Shah, Anzar Mahmood

“…Therefore, in the proposed study, a mathematical model, Power Market Survey (PMS), is implemented to forecast month-ahead load for GEPCO division dataset. …”
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Research on equipment layout of multi-layer circular manufacturing cell based on NSGA III. by Yanlin Zhao

“…A multi-dimensional target mathematical model for MCMC is established, facilitating the systematic examination of layout configurations. …”
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Toward an Integrated Physiological Theory of Microbial Growth: From Subcellular Variables to Population Dynamics by Atul Narang, Sergei S. Pilyugin

“…  &nbsp In this paper, we provide an overview of the experimental data, andintroduce a different class of mathematical models that can be usedto understand microbial growth dynamics. …”
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Role of white-tailed deer in geographic spread of the black-legged tick Ixodes scapularis : Analysis of a spatially nonlocal model by Stephen A. Gourley, Xiulan Lai, Junping Shi, Wendi Wang, Yanyu Xiao, Xingfu Zou

“…In this paper, we develop a mathematical model to describe the spatial spread of blacklegged ticks due to deer dispersal. …”
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Modeling and Stability Analysis of the Dynamics of Malaria Disease Transmission with Some Control Strategies by Alemzewde Ayalew, Yezbalem Molla, Amsalu Woldegbreal

“…In this study, we proposed and analyzed a nonlinear deterministic mathematical model of malaria transmission dynamics. In addition to the previous approaches, we incorporated the class of aware people and other control measures. …”
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Dynamic Response of a Vehicle-Bridge Expansion Joint Coupled System by Lu Zhang, Shaohua Wang, Bing Li

“…In this paper, a dynamic mathematical model of the 2-axle vehicle-modular bridge expansion joint (MBEJ) coupled system is established by introducing a flexible roller tire model. …”
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Detection Method for Bolt Loosening Based on Summation Coefficient of Absolute Spectrum Ratio by Haoyang Guo, Jianfeng Zhong, Bin Feng, Yulong Chen, Shuncong Zhong

“…Subsequently, the spectrum ratio curves between healthy and non-healthy structures are calculated for different degrees of bolt loosening, and then the Summation Coefficient of Absolute Spectrum Ratio (SCASR) is defined to indicate the looseness. In the mathematical model, a linear relationship is observed between the SCASR and the frequency shift of the resonance peak. …”
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Sensitivity and bifurcation analysis of corruption dynamics model with control measures by Tesfaye Worku Gutema, Alemu Geleta Wedajo, Purnachandra Rao Koya

“…Hence, we developed and analyzed a nonlinear deterministic mathematical model that explains the dynamics of corruption to investigate the effect of control measures on the transmission of corruption. …”
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An improved meta-heuristic algorithm to optimize the fractional-order controller for an industrial manipulator with a parallelogram structure by Nazila Nikdel

“…Therefore, this article pursues two main objectives: 1) controlling the robotic system by presenting a method based on fractional-order calculus so that it can control the system despite its complexity and non-linearity, 2) presenting the meta-heuristic algorithm "Improved Grey Wolf" to optimize the system response.Methodology: First, the mathematical model of the robot is presented based on Lagrange rules, and then the fractional-order calculus is used to design the controller. …”
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Dynamic collateral sensitivity profiles highlight opportunities and challenges for optimizing antibiotic treatments. by Jeff Maltas, Anh Huynh, Kevin B Wood

“…Finally, we develop a stochastic mathematical model based on a Markov decision process consistent with observed dynamic collateral profiles to show measurements across time are required to optimally constrain antibiotic resistance.…”
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Physiology-informed regularisation enables training of universal differential equation systems for biological applications. by Max de Rooij, Balázs Erdős, Natal A W van Riel, Shauna D O'Donovan

“…Systems biology tackles the challenge of understanding the high complexity in the internal regulation of homeostasis in the human body through mathematical modelling. These models can aid in the discovery of disease mechanisms and potential drug targets. …”
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A linear hydraulic fracture with tortuosity and fluid–slip at the fluid–rock interface by M.R.R. Kgatle-Maseko, T.L. Vetezo

“…A hydraulic fracture with tortuosity and fluid–slip at the fluid–rock interface is replaced by a two-dimensional symmetric model fracture. The mathematical model is formulated using a modified Reynolds flow law and a linear crack law. …”
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Trust Region Policy Learning for Adaptive Drug Infusion with Communication Networks in Hypertensive Patients by Mai The Vu, Seong Han Kim, Ha Le Nhu Ngoc Thanh, Majid Roohi, Tuan Hai Nguyen

“…In previous works where model-based and fuzzy controllers are used to control AABP, model-based controllers rely on the precise mathematical model, while fuzzy controllers entail complexity due to rule sets. …”
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Optimization Research on the Performance of the RC-DTH Air Hammer Based on Computational Fluid Dynamics by Zihao Liu, Yongjiang Luo, Wenchao He, Rui Tao, Jiangfu He, Yongliang Sun, Hongwei Chen, Qianting Hu

“…To optimize the performance of the RC-DTH air hammer, a mathematical model detailing each phase of the piston’s movement has been constructed in the present work. …”
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Modelling and industrial experiment on the dynamic deviation of rolling force during high precision rolling process by Shanshan Chen, Chundong Liu, Shuilin Lin

“…In this work, physical and mathematical models of rolling force deviation are developed to elucidate the underlying formation mechanism, taking into account the contact deformation of the roll system, plastic deformation of the strip and roll crossing models. …”
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Research on Constriction Resistance of Drum Gear Coupling of High Speed EMU by Chunjun Chen, Xiang Zheng, Lu Yang, Linchun Zhou

“…In order to research the constriction resistance of the drum gear coupling of high speed EMU traction motor drive system，by using the geometrical analysis method，a mathematical model of the external tooth surface is established according to the structural parameters of the coupling. …”
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A robust multi-objective multi-priodic planning approach to the problem of locating the allocation of organ transplant centers under conditions of uncertainty by Elham Nejati, Mahdi Yousefi Nejad Attari, Asgar Hajibadali

“…On the other hand, due to the rapid growth of the demand for organ transplantation and the lack of resources, the patient's waiting time to complete the transplantation process plays a vital role in the organ transplantation system.Methodology: This study presents a robust bi-objective mathematical model for the location problem of allocating organ transplant centers under uncertainty, which includes the total costs of the organ transplant system as well as the average patient waiting time for organ transplantation, which follows a G/G/m queuing system.Findings: To solve this model, the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) has been used. …”
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