Cryopreservation of Chirostoma jordani sperm, fish model for the conservation of the genus in Mexico

2020 ◽  
Author(s):  
Jesús Dámaso Bustamante‐González ◽  
Martha Rodríguez‐Gutiérrez ◽  
Araceli Cortés‐García ◽  
Edith Arenas‐Ríos ◽  
Gerardo Figueroa‐Lucero ◽  
...  
Keyword(s):  
Fish Model ◽  
Sperm Fish

Tail shapes lead to different propulsive mechanisms in the body/caudal fin undulation of fish

2020 ◽  
pp. 095440622096768
Author(s):  
Jialei Song ◽  
Yong Zhong ◽  
Ruxu Du ◽  
Ling Yin ◽  
Yang Ding
Keyword(s):  
Numerical Simulation ◽  
Aspect Ratio ◽  
High Efficiency ◽  
The Body ◽  
Caudal Fin ◽  
Fish Model ◽  
Swimming Efficiency ◽  
Simulation Results ◽  
Propulsive Mechanism ◽  
High Depth

In this paper, we investigate the hydrodynamics of swimmers with three caudal fins: a round one corresponding to snakehead fish ( Channidae), an indented one corresponding to saithe ( Pollachius virens), and a lunate one corresponding to tuna ( Thunnus thynnus). A direct numerical simulation (DNS) approach with a self-propelled fish model was adopted. The simulation results show that the caudal fin transitions from a pushing/suction combined propulsive mechanism to a suction-dominated propulsive mechanism with increasing aspect ratio ( AR). Interestingly, different from a previous finding that suction-based propulsion leads to high efficiency in animal swimming, this study shows that the utilization of suction-based propulsion by a high- AR caudal fin reduces swimming efficiency. Therefore, the suction-based propulsive mechanism does not necessarily lead to high efficiency, while other factors might play a role. Further analysis shows that the large lateral momentum transferred to the flow due to the high depth of the high- AR caudal fin leads to the lowest efficiency despite the most significant suction.

Serotonin level as a potent diabetes biomarker based on electrochemical sensing: a new approach in a zebra fish model

2021 ◽  
Author(s):  
Kamyar Khoshnevisan ◽  
Hadi Baharifar ◽  
Farzad Torabi ◽  
Mahsa Sadeghi Afjeh ◽  
Hassan Maleki ◽  
...  
Keyword(s):  
Electrochemical Sensing ◽  
Serotonin Level ◽  
Zebra Fish ◽  
New Approach ◽  
Fish Model

scholarly journals A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary–lattice Boltzmann method

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yi Zhu ◽  
Fang-Bao Tian ◽  
John Young ◽  
James C. Liao ◽  
Joseph C. S. Lai
Keyword(s):  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Prey Capture ◽  
Numerical Study ◽  
Benchmark Problems ◽  
Immersed Boundary ◽  
Complex Environments ◽  
Fish Model ◽  
Point To Point ◽  
Boltzmann Method

AbstractFish adaption behaviors in complex environments are of great importance in improving the performance of underwater vehicles. This work presents a numerical study of the adaption behaviors of self-propelled fish in complex environments by developing a numerical framework of deep learning and immersed boundary–lattice Boltzmann method (IB–LBM). In this framework, the fish swimming in a viscous incompressible flow is simulated with an IB–LBM which is validated by conducting two benchmark problems including a uniform flow over a stationary cylinder and a self-propelled anguilliform swimming in a quiescent flow. Furthermore, a deep recurrent Q-network (DRQN) is incorporated with the IB–LBM to train the fish model to adapt its motion to optimally achieve a specific task, such as prey capture, rheotaxis and Kármán gaiting. Compared to existing learning models for fish, this work incorporates the fish position, velocity and acceleration into the state space in the DRQN; and it considers the amplitude and frequency action spaces as well as the historical effects. This framework makes use of the high computational efficiency of the IB–LBM which is of crucial importance for the effective coupling with learning algorithms. Applications of the proposed numerical framework in point-to-point swimming in quiescent flow and position holding both in a uniform stream and a Kármán vortex street demonstrate the strategies used to adapt to different situations.

scholarly journals Internal exposure dynamics drive the Adverse Outcome Pathways of synthetic glucocorticoids in fish

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Luigi Margiotta-Casaluci ◽  
Stewart F. Owen ◽  
Belinda Huerta ◽  
Sara Rodríguez-Mozaz ◽  
Subramanian Kugathas ◽  
...  
Keyword(s):  
Predictive Power ◽  
Adverse Outcome ◽  
Plasma Concentrations ◽  
Internal Exposure ◽  
Adverse Outcome Pathway ◽  
Conceptual Tool ◽  
Fish Model ◽  
Species Specific

Abstract The Adverse Outcome Pathway (AOP) framework represents a valuable conceptual tool to systematically integrate existing toxicological knowledge from a mechanistic perspective to facilitate predictions of chemical-induced effects across species. However, its application for decision-making requires the transition from qualitative to quantitative AOP (qAOP). Here we used a fish model and the synthetic glucocorticoid beclomethasone dipropionate (BDP) to investigate the role of chemical-specific properties, pharmacokinetics, and internal exposure dynamics in the development of qAOPs. We generated a qAOP network based on drug plasma concentrations and focused on immunodepression, skin androgenisation, disruption of gluconeogenesis and reproductive performance. We showed that internal exposure dynamics and chemical-specific properties influence the development of qAOPs and their predictive power. Comparing the effects of two different glucocorticoids, we highlight how relatively similar in vitro hazard-based indicators can lead to different in vivo risk. This discrepancy can be predicted by their different uptake potential, pharmacokinetic (PK) and pharmacodynamic (PD) profiles. We recommend that the development phase of qAOPs should include the application of species-specific uptake and physiologically-based PK/PD models. This integration will significantly enhance the predictive power, enabling a more accurate assessment of the risk and the reliable transferability of qAOPs across chemicals.

scholarly journals The see-through medaka: A fish model that is transparent throughout life

2001 ◽  
Vol 98 (18) ◽  
pp. 10046-10050 ◽  
Author(s):  
Y. Wakamatsu ◽  
S. Pristyazhnyuk ◽  
M. Kinoshita ◽  
M. Tanaka ◽  
K. Ozato
Keyword(s):  
Fish Model

O-40. Predictive value of sperm FISH analysis on the outcome of PGD for translocations

2002 ◽  
Vol 4 ◽  
pp. 28 ◽  
Author(s):  
T Escudero ◽  
I Abdelhadi ◽  
M Sandalinas ◽  
S Munné
Keyword(s):  
Predictive Value ◽  
Fish Analysis ◽  
Sperm Fish

scholarly journals A hierarchical model to estimate the abundance and biomass of salmonids by using removal sampling and biometric data from multiple locations

2010 ◽  
Vol 67 (12) ◽  
pp. 2032-2044 ◽  
Author(s):  
Philippe Ruiz ◽  
Christophe Laplanche
Keyword(s):  
Spatial Variability ◽  
Hierarchical Model ◽  
Salmo Trutta ◽  
Credible Interval ◽  
Fish Length ◽  
Biometric Data ◽  
Bayesian Hierarchical ◽  
Fish Model ◽  
Brown Trout Salmo Trutta ◽  
Removal Sampling

We present a Bayesian hierarchical model to estimate the abundance and the biomass of brown trout ( Salmo trutta fario ) by using removal sampling and biometric data collected at several stream sections. The model accounts for (i) variability of the abundance with fish length (as a distribution mixture), (ii) spatial variability of the abundance, (iii) variability of the catchability with fish length (as a logit regression model), (iv) spatial variability of the catchability, and (v) residual variability of the catchability with fish. Model measured variables are the areas of the stream sections as well as the length and the weight of the caught fish. We first test the model by using a simulated dataset before using a 3-location, 2-removal sampling dataset collected in the field. Fifteen model alternatives are compared with an index of complexity and fit by using the field dataset. The selected model accounts for variability of the abundance with fish length and stream section and variability of the catchability with fish length. By using the selected model, 95% credible interval estimates of the abundances at the three stream sections are (0.46,0.59), (0.90,1.07), and (0.56,0.69) fish/m2. Respective biomass estimates are (9.68, 13.58), (17.22, 22.71), and (12.69, 17.31) g/m2.

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