Prediction of seawater pH by bidirectional gated recurrent neural network with attention under phase space reconstruction:case study of the coastal waters of Beihai,China

Marine life is very sensitive to changes in pH.Even slight changes can cause ecosystems to collapse.Therefore,understanding the future pH of seawater is of great significance for the protection of the marine environment.At present,the monitoring method of seawater pH has been matured.However,how to accurately predict future changes has been lacking effective solutions.Based on this,the model of bidirectional gated recurrent neural network with multi-headed self-attention based on improved complete ensemble empirical mode decomposition with adaptive noise combined with phase space reconstruction(ICPBGA)is proposed to achieve seawater pH prediction.To verify the validity of this model,pH data of two monitoring sites in the coastal sea area of Beihai,China are selected to verify the effect.At the same time,the ICPBGA model is compared with other excellent models for predicting chaotic time series,and root mean square error(RMSE),mean absolute error(MAE),mean absolute percentage error(MAPE),and coefficient of determination(R2)are used as performance evaluation indicators.The R2 of the ICPBGA model at Sites 1 and 2 are above 0.9,and the prediction errors are also the smallest.The results show that the ICPBGA model has a wide range of applicability and the most satisfactory prediction effect.The prediction method in this paper can be further expanded and used to predict other marine environmental indicators.

Evaluation and Optimization of the Mixed Redundancy Strategy in Cloud-Based Systems

Mixed redundancy strategies are generally used in cloud-based systems,with different node switch mechanisms from traditional fault-tolerant strategies.Existing studies often concentrate on optimizing a single strategy in cloud computing environment and ignore the impact of mixed redundancy strategies.Therefore,a model is proposed to evaluate and optimize the reliability and performance of cloud-based degraded systems subject to a mixed active and cold standby redundancy strategy.In this strategy,node switching is triggered by a continual monitoring and detection mechanism when active nodes fail.To evaluate the transient availability and the expected job completion rate of systems with such kind of strategy,a continuous-time Markov chain model is built on the state transition process and a numerical method is used to solve the model.To choose the optimal redundancy for the mixed strategy under system constraints,a greedy search algorithm is proposed after sensitivity analysis.Illustrative examples were presented to explain the process of calculating the transient probability of each system state and in turn,the availability and performance of the whole system.It was shown that the near-optimal redundancy solution could be obtained using the optimizationmethod.The comparison with optimization of the traditional mixed redundancy strategy proved that the system behavior was different using different kinds of mixed strategies and less redundancy was assigned for the new type of mixed strategy under the same system constraint.

Identification of a novel multi-drug resistant plasmid co-harbouring extended-spectrumβ-lactamase resistance genes bla_(PER-4)and bla_(OXA-10)in Moellerella wisconsensis of sheep

Moellerella wisconsensis is proposed for a member of the family Enterobacteriaceae previously designated as Enteric Group 46.In 1984,the majority of the bacterial isolates(6/8,75%)had been identified in Wisconsin,USA(Hickman-Brenner et al.2021).Thus,this bacterial was named M.wisconsensis.Despite the passage of nearly four decades since its discovery,limited research has been conducted on this bacterium.This may be attributed to the misidentification of M.wisconsensis as Escherichia coli(Stock et al.2003).Currently,the presence of these microorganisms has been identified in both humans and animals,leading to the development of various clinical symptoms such as diarrhea,urinary tract infections,and bacteremia(Aller et al.2009;Leroy et al.2016).

捻转血矛线虫丙硫咪唑耐药相关lncRNA的转录组学测序与分析

分析捻转血矛线虫敏感株和耐药株中长链非编码RNA (Long non-coding RNA,lncRNA)的表达谱,探讨lncRNA与捻转血矛线虫丙硫咪唑耐药机制的关联性,为捻转血矛线虫耐药机理提供依据。文中对捻转血矛线虫敏感株和耐药株进行cDNA测序文库构建,使用Illumina HiSeq 4000平台进行双端测序,筛选出差异的lncRNA,基于顺式调控(cis)和反式调控(trans)对差异显著的lncRNA进行靶基因预测,并对靶基因进行过Gene Ontology (GO)功能注释和KEGG Pathway富集分析,利用FPKM法估计lncRNA和mRNA的表达水平。结果表明,敏感株和耐药株候选lncRNA分别为6 377和6 356个,两个文库中筛选出168个差异显著的lncRNA,其中在敏感株中表达上调有92个,表达下调76个。筛选得到的差异显著lncRNA候选靶基因416个,这些基因共注释到641条GO terms和92条信号通路;其中富集到耐药性相关的通路有药物代谢-其他酶、药物代谢-细胞色素P450、细胞色素P450对异生素的代谢等。综上表明,部分lncRNA介导的靶基因与捻转血矛线虫丙硫咪唑耐药性相关,lncRNA在捻转血矛线虫耐药性中具有潜在的重要的调节作用。探究了对于敏感虫株和耐药虫株中lncRNA的表达谱,发现了敏感虫株和耐药虫株中差异表达的lncRNA,有助于找出捻转血矛线虫如何抵抗丙硫咪唑的发生机制,为探讨捻转血矛线虫丙硫咪唑耐药机制提供科学的依据。