Numerical Modeling of Sperm Swimming

Tian, Fang-Bao; Wang, Li

doi:10.3390/fluids6020073

Cited by 13 publications

(4 citation statements)

References 71 publications

(111 reference statements)

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“…As a result, according to Ref. 64 , the opposite solution, x op , is much closer to the global solution.…”

Section: Modeling Of Human Conception Optimizer (Hco)mentioning

confidence: 94%

“…The liquid inside the cervix will allow only healthy cells to enter into the cervical tracking path. Therefore, there is a natural selection of initial healthy sperm cells where only fit cells can start the journey from the cervix towards the egg 64 . In HCO, each search agent resembles the position of the sperm cells.…”

Section: Human Conception Optimization Algorithmmentioning

confidence: 99%

“…1 c. The right ovary is considered the place in positive direction in the searching area where the egg (global solution) exist. The left ovary is considered as the place in negative direction in the searching area where the egg (global solution) exist 64 . This concept is used in the proposed algorithm to check the solution to an optimization problem on both sides of the search space.…”

Section: Human Conception Optimization Algorithmmentioning

confidence: 99%

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A novel Human Conception Optimizer for solving optimization problems

Acharya

Das

2022

Sci Rep

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Computational techniques are widely used to solve complex optimization problems in different fields such as engineering, finance, biology, and so on. In this paper, the Human Conception Optimizer (HCO) is proposed as a novel metaheuristic algorithm to solve any optimization problems. The idea of this algorithm is based on some biological principles of the human conception process, such as the selective nature of cervical gel in the female reproductive system to allow only healthy sperm cells into the cervix, the guidance nature of mucus gel to help sperm track a genital tracking path towards the egg in the Fallopian tube, the asymmetric nature of flagellar movement which allows sperm cells to move in the reproductive system, the sperm hyperactivation process to make them able to fertilize an egg. Thus, the strategies pursued by the sperm in searching for the egg in the Fallopian tube are modeled mathematically. The best sperm which will meet the position of the egg will be the solution of the algorithm. The performance of the proposed HCO algorithm is examined with a set of basic benchmark test functions called IEEE CEC-2005 and IEEE CEC-2020. A comparative study is also performed between the HCO algorithm and other available algorithms. The significance of the results is verified with statistical test methods. To validate the proposed HCO algorithm, two real-world engineering optimization problems are examined. For this purpose, a complex 14 over-current relay based IEEE 8 bus distribution system is considered. With the proposed algorithm, an improvement of 50% to 60% in total relay operating times is observed comparing with some existing results for the same system. Another engineering problem of designing an optimal proportional integral derivative (PID) controller for a blower driven patient hose mechanical ventilator (MV) is examined. A significant improvement in terms of response time, settling time is observed in the MV system by comparing with existing results.

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“…As a result, according to Ref. 64 , the opposite solution, x op , is much closer to the global solution.…”

Section: Modeling Of Human Conception Optimizer (Hco)mentioning

confidence: 94%

Section: Human Conception Optimization Algorithmmentioning

confidence: 99%

Section: Human Conception Optimization Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A novel Human Conception Optimizer for solving optimization problems

Acharya

Das

2022

Sci Rep

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“…Alternatively, the penalty IBM proposed by Kim and Peskin 73 has been combined with the LBM by Tian et al 74 for the numerical simulation involving complex boundaries. Such a diffusive IBM has been extensively applied for its simplicity and efficiency to a range of problems such as flapping filaments, [74][75][76][77][78] biological flow, 20,21,79,80 flapping wings, 81 swimming fish, 71,82 and power generators 83,84 .…”

Section: Introductionmentioning

confidence: 99%

Recent progress of lattice Boltzmann method and its applications in fluid-structure interaction

Wang

Liu

Rajamuni

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Fluid-structure interaction (FSI) is a very common physical phenomenon which extensively exists in nature, human daily life and many engineering applications. The lattice Boltzmann method (LBM) is an alternative of solving Navier–Stokes equations to obtain complex fluid dynamics. Since the proposal of lattice Bhatnagar–Gross–Krookmodel, the LBM has been improved and applied to various complex flows ranging from laminar flow to turbulent flow and Newtonian flow to non-Newtonian flow. To handle the associated FSI, the bounce-back scheme was proposed and then the immersed boundary method (IBM) was incorporated into the LBM for the simplicity and robustness of IBM in handling complex and moving geometries and the significant efficiency of LBM in solving fluid dynamics. In recent years, the combined frameworks of LBM, that is, bounce-back–lattice Boltzmann method and immersed boundary–lattice Boltzmann method have witnessed a significant development and the successful applications can be found in a range of physical problems such as flow around bluff bodies, flapping wings, wind turbines, aeroacoustics, sea wave modelling and et al. In this paper, the recent progress of LBM and some typical applications involving FSI are reviewed.

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Reviewing mathematical models of sperm signaling networks

Priego Espinosa,

Espinal‐Enríquez,

Aldana

et al. 2024

Molecular Reproduction Devel

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Dave Garbers’ work significantly contributed to our understanding of sperm's regulated motility, capacitation, and the acrosome reaction. These key sperm functions involve complex multistep signaling pathways engaging numerous finely orchestrated elements. Despite significant progress, many parameters and interactions among these elements remain elusive. Mathematical modeling emerges as a potent tool to study sperm physiology, providing a framework to integrate experimental results and capture functional dynamics considering biochemical, biophysical, and cellular elements. Depending on research objectives, different modeling strategies, broadly categorized into continuous and discrete approaches, reveal valuable insights into cell function. These models allow the exploration of hypotheses regarding molecules, conditions, and pathways, whenever they become challenging to evaluate experimentally. This review presents an overview of current theoretical and experimental efforts to understand sperm motility regulation, capacitation, and the acrosome reaction. We discuss the strengths and weaknesses of different modeling strategies and highlight key findings and unresolved questions. Notable discoveries include the importance of specific ion channels, the role of intracellular molecular heterogeneity in capacitation and the acrosome reaction, and the impact of pH changes on acrosomal exocytosis. Ultimately, this review underscores the crucial importance of mathematical frameworks in advancing our understanding of sperm physiology and guiding future experimental investigations.

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Numerical Modeling of Sperm Swimming

Cited by 13 publications

References 71 publications

A novel Human Conception Optimizer for solving optimization problems

A novel Human Conception Optimizer for solving optimization problems

Recent progress of lattice Boltzmann method and its applications in fluid-structure interaction

Reviewing mathematical models of sperm signaling networks

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