GA-BASED PID NEURAL NETWORK CONTROL FOR MAGNETIC BEARING SYSTEMS

In order to overcome the system non-linearity and uncertainty inherent in magnetic bearing systems, a GA（genetic algnrithm）-based PID neural network controller is designed and trained tO emulate the operation of a complete system （magnetic bearing, controller, and power amplifiers）. The feasibility of using a neural network to control nonlinear magnetic bearing systems with unknown dynamics is demonstrated. The key concept of the control scheme is to use GA to evaluate the candidate solutions （chromosomes）, increase the generalization ability of PID neural network and avoid suffering from the local minima problem in network learning due to the use of gradient descent learning method. The simulation results show that the proposed architecture provides well robust performance and better reinforcement learning capability in controlling magnetic bearing systems.

The recent advances and future perspectives of genetic compensation studies in the zebrafish model

Genetic compensation is a remarkable biological concept to explain the genetic robustness in an organism to maintain its fitness and viability if there is a disruption occurred in the genetic variation by mutation.However,the underlying mechanism in genetic compensation remain unsolvable.The initial concept of genetic compensation has been studied in model organisms when there was a discrepancy between knockout-mediated and knockdown-mediated phenotypes.In the zebrafish model,several studies have reported that zebrafish mutants did not exhibit severe phenotype as shown in zebrafish morphants for the same genes.This phenomenon in zebrafish mutants but not morphants is due to the response of genetic compensation.In 2019,two amazing works partially uncovered genetic compensation could be triggered by the upregulation of compensating genes through regulating NMD and/or PTC-bearing mRNA in collaboration with epigenetic machinery in mutant zebrafish.In this review,we would like to update the recent advances and future perspectives of genetic compensation studies,which including the hypothesis of time-dependent involvement and addressing the discrepancy between knockout-mediated and knockdown-mediated to study gene function in the zebrafish model.At last,the study of genetic compensation could be a potential therapeutic strategy to treat human genetic disorder related diseases.

High-throughput,microscopy-based screening and quantification of genetic elements

Synthetic biology relies on the screening and quantification of genetic components to assemble sophisticated gene circuits with specific functions.Microscopy is a powerful tool for characterizing complex cellular phenotypes with increasing spatial and temporal resolution to library screening of genetic elements.Microscopy-based assays are powerful tools for characterizing cellular phenotypes with spatial and temporal resolution and can be applied to large-scale samples for library screening of genetic elements.However,strategies for high-throughput microscopy experiments remain limited.Here,we present a high-throughput,microscopy-based platform that can simultaneously complete the preparation of an 8×12-well agarose pad plate,allowing for the screening of 96 independent strains or experimental conditions in a single experiment.Using this platform,we screened a library of natural intrinsic promoters from Pseudomonas aeruginosa and identified a small subset of robust promoters that drives stable levels of gene expression under varying growth conditions.Additionally,the platform allowed for single-cell measurement of genetic elements over time,enabling the identification of complex and dynamic phenotypes to map genotype in high throughput.We expected that the platform could be employed to accelerate the identification and characterization of genetic elements in various biological systems,as well as to understand the relationship between cellular phenotypes and internal states,including genotypes and gene expression programs.