Abstract:In this paper,we introduce a self-adaptive viscosity-type inertial extragradient algorithm to solve monotone variational inequality problem and paramonotone equilibrium problem in real Hilbert space.Based on the self-adaptive method,inertial technique is used to accelerate the convergence speed of the method.Under the assumption of monotonicity of the related mappings,the strong convergence of the iterative algorithm is established.The results presented here improve and generalize many existing results in this direction.

Abstract:This review aims to comprehensively elucidate the current research status and progress of functional feed additives in the aquaculture of sea cucumbers.By meticulously classifying and analyzing various functional feed additives,such as immunostimulants that enhance the inherent defense mechanisms of sea cucumbers,nutritional enhancers that can precisely supplement key nutrients,and attractants that improve feed utilization efficiency,this review delves into the positive impacts of these additives on multiple aspects,including growth performance,immune function,antioxidant defense systems,and gut microecological balance in sea cucumbers.Furthermore,it looks ahead to future research directions,intending to lay a theoretical foundation for the scientific development and rational application of functional feed additives in sea cucumber aquaculture.

Abstract:Aiming at the characteristics of the fault of the electric vehicle power battery pack,this paper studies a complete set of power battery fault diagnosis method,establishes an experimental platform,physically triggers the external short circuit,internal short circuit and contact fault of the series battery pack.Firstly,the sensor interleaved topology is used to obtain the battery voltage data.The double location structure of adjacent sensors combined with correlation coefficient was used to locate the fault data.Finally,the gradient descent method was used to find the parameters of echo state network,and the classification model was constructed for classification.Experimental results verify the feasibility and superiority of the proposed method.

Abstract:Cold plasma(CP)possesses the advantages of safety,high efficiency,strong versatility and environmental friendliness,making it a rapidly emerging technology in the field of food processing.In the past decade,the application of CP in food antibacterial,preservation,and functionalization has been extensively studied.Recently,research efforts have primarily focused on investigating the interaction between active substances and food matrices.Firstly,based on the review of related concepts and classifications,the application of CP in the preservation of meat products,aquatic products and fruits and vegetables was discussed,and its advantages in extending shelf life,inhibiting microbial growth and reducing lipid oxidation were emphasized.Secondly,the application of CP in food modification is reviewed,including the modification of carbohydrate and protein,as well as the effect on the oxidation of fat and protein in food.CP has great potential to improve food quality and safety,but its large-scale industrial application still needs further research.Lastly,the action mechanism of CP was analyzed,and its future application in food industry was prospected,in order to provide a reference for the wide application of cold plasma technology in food industry.

Abstract:11,118 strains of marine Actinomyces, 5,608 strains of marine bactetia and 508 strains of marine fungi were isolated from 128 sites in 12 regions. The result indicates that Actinomyces are mainly made of Steptomyces for about 95%,bacteria are chiefly composed of Vibrios for more than 90% and fungi largely consists of Penicillium for over 70%. Many isolates show great anti-microbial activity on pathogenic fungi or bacteria,most of which have important physiological activities such as anticancer,radio-resistant or immunity improving Besides,some isolates can produce proteinase or eicosa pantacnoic acid(EPA)

Abstract:Among the three parameters of particle swarm optimization algorithm , inertia weight is the most important parameter , which plays an important role in improving the performance of particle swarm optimization algorithm.Therefore, many scholars have studied the design of inertia weight in particle swarm optimization ex－tensively, and many achievements have been made.This paper introduces the basic particle swarm optimization and standard particle swarm optimization algorithm , and summarizes the various improvement strategies of inertia weight in particle swarm optimization algorithm.It provides a reference for further improvement of particle swarm optimization algorithm.