广东生态工程职业学院

With rapid societal development,economic growth,industry,agriculture,and human activities,large amounts of sewage rich in nitrogen,phosphorus,and other nutrients are produced.This causes eutrophication in lakes and reservoirs,leading to frequent algal blooms that pose a serious threat to aquatic ecosystem stability and drinking water safety.Chlorophyll-a(Chl-a)concentration,a core indicator of algal biomass and the degree of eutrophication in water bodies,correlates positively with algal bloom outbreaks.However,Chl-a concentration variance under the influence of multiple factors displays highly nonlinear characteristics.Traditional prediction models are unsuitable for relationship analyses between environmental factors,generally producing low prediction accuracy with weak applicability.To address this challenge,we proposed a short-term chlorophyll a concentration prediction method based on multi-scene segmentation,and constructed a prediction model with enhanced adaptability by recognizing the characteristic laws of different environmental scenarios to improve the accuracy of Chl-a concentration prediction.By analyzing the laws influencing various factors,we proposed three partitioning strategies:1)factor interaction and scene partitioning by analyzing connections between key environmental factors and adopting K-means method to partition these scenes.2)diurnal difference scene partitioning based on diurnal cyclicity of algal physiological activities,dividing the data into two scenarios,and 3)trophic state scenarios,based on Trophic Level Index.A water body is divided into three trophic categories:anaerobic,mesotrophic,and eutrophic.Three machine learning models(Random Forest,Gradient Boosting Decison Tree,and eXtreme Gradient Boosting)using multi-scenario classification and a linear regression model were each adapted to perform short-term prediction of Chl-a concentration.The multi-scenario partitioning strategy proposed in this study substantially optimized model prediction performance.Factor interaction scenario partitioning yielded the best prediction results,with an overall RMSE(Root mean square error)prediction average of 0.004 5,improving prediction accuracy by 4.26%compared to that of the unpartitioned scenarios.Overall improvement in prediction accuracy from diurnal and nocturnal scenario partitioning was limited.Its overall RMSE prediction average was 0.004 74,improving prediction accuracy by 0.9%.In eutrophic scenario,the four prediction models(RF,GBDT,XGBoost,and linear regression)exhibited respective RMSEs of 0.003 4,0.003 6,0.003 5,and 0.003 9,with RF model giving the highest prediction accuracy.In summary,we propose an innovative short-term prediction model to improve the accuracy of low Chl-a concentration predictions in complex situations,providing a new paradigm for intelligent modeling and precise governance.The data obtained using a multi-scenario delineation system revealed the dynamic coupling mechanisms between the diurnal biological rhythms in a water body,nutrient grading,and the interaction of water quality factors.The idea of this study effectively solves the problem that the traditional prediction model can not meet the current prediction needs.This study can provide a systematic analysis for the prediction of cyanobacterial bloom,and can provide technical reference and theoretical support for the multi scenario prediction of Chl-a concentration.This study not only clarified the driving law of Chl-a concentration change under different scenarios,but also promoted the transformation of simplifying the analysis of complex problems of water environment,providing a new perspective for the mechanism research of complex water environment system.

Background & Aims:In recent years,bioacoustics monitoring has emerged as a crucial tool for biodiversity conservation,enabling a continuous,real-time,and non-invasive means to gather data on various species and their habitats.This method provides superior efficiency and coverage compared to traditional field surveys and observations.However,the vast amount of diverse bioacoustics data generated presents significant challenges in terms of storage,management,and analysis.This review aims to systematically outline the characteristics and management standards of bioacoustics data archives.It highlights the latest advancements in recording and storage technologies and explores the value and challenges of bioacoustics data archiving in practical applications.Additionally,this review also provides an overview of the current state of bioacoustics databases and data-sharing platforms,both domestically and internationally. Progress:Bioacoustics data archives are systematic repositories dedicated to the preservation and management of bioacoustics data.These archives include raw audio recordings,metadata detailing recording times,locations,and equipment specifications,and processed data derived from species identification and classification tools.These archives are essential for biodiversity conservation efforts,as they store crucial data on species'vocalizations,behaviors,and interactions.Standardized management protocols are essential for ensuring data integrity,accessibility,and usability.Recent technological advances have facilitated better data collection,processing,and storage methods,making bioacoustics monitoring more scalable and sophisticated. Conclusion:The development and implementation of advanced bioacoustics data management and archiving systems are pivotal for effective biodiversity monitoring and conservation.By leveraging the latest technological advancements,bioacoustics data archives can significantly enhance automated data annotation,storage efficiency,intelligent retrieval,and real-time sharing capabilities.These improvements will help meet the increasing demands of bioacoustics monitoring,evaluation,and historical baseline establishment,thereby significantly supporting biodiversity conservation efforts.

Objective: To investigate the effect and mechanism of Lactobacillus reuteri on the inflammatory response and apoptosis of intestinal epithelial cells. Methods: Immunofluorescence and enzyme linked immunosorbent assay (ELISA) were used to detect the effect of L. reuteri on the inflammatory response and apoptosis of intestinal epithelial cells. Bioinformatics analysis, real-time polymerase chain reaction (PCR) and the dual-luciferase reporter gene assay were used to analyze downstream miRNA expression under the action of L. reuteri. The downstream target gene of miR-196a and its function were investigated using the dual-luciferase reporter gene assay and Western blot (WB). Results: L. reuteri inhibited inflammatory responses and apoptosis induced by lipopolysaccharide (LPS) in intestinal epithelial cells by up-regulating miR-196a. miR-196a could protect intestinal epithelial cells by targeting the expression of programmed cell death factor 4 (PDCD4). Conclusion: L. reuteri could inhibit the expression of the PDCD4 gene through miR-196a, thereby alleviating the inflammatory response and apoptosis of intestinal epithelial cells.

The experiment aims to study the effects of Morinda officinalis polysaccharide(MOP)added to the feed on the intestinal morphology,intestinal immune barrier function,and cecal microbiota of Wenchang chickens.Six hundred healthy female Wenchang chickens aged six days old were randomly divided into five groups,with eight replicates per group and 15 chickens per replicate.The control group was fed a basic diet,while each experimental group added 250,500,1 000,2 000 mg/kg of MOP to the basic diet.The experiment lasted for 40 days.The results showed that compared with the control group,the villus height/crypt depth of the duodenum and jejunum in each experimental group were significantly increased(P＜0.05),and the 500,1 000,2 000 mg/kg MOP groups significantly improved the villus height/crypt depth of the ileum(P＜0.05).The relative expression of Occludin mRNA in the duodenum in the 250,500,1 000 mg/kg MOP groups was significantly increased(P＜0.05),and the relative expression of TNF-α mRNA in the duodenum in the 1 000,2 000 mg/kg MOP groups was significantly reduced(P＜0.05).The number of observed species and the Ace index in the cecum in the 250,500 mg/kg MOP groups were significantly increased(P＜0.05).The Shannon index in all the experimental groups was significantly increased(P＜0.05),the Simpson index in the 2 000 mg/kg MOP group was significantly increased(P＜0.05),the Chaol index in the 250,500,1 000 mg/kg MOP groups was significantly increased(P＜0.05).The relative abundance of Campylobacter in the cecum in all the experimental groups was significantly reduced(P＜0.05),the 1 000,2 000 mg/kg MOP groups significantly reduced the relative abundance of the Bifidobacterium in the cecum(P＜0.05),and significantly increased the relative abundance of the beneficial bacteria Parabacteroides(P＜0.05).The addition of 2 000 mg/kg MOP in the feed significantly reduced the relative abundance of Streptococcus(P＜0.05).The 250,2 000 mg/kg MOP groups significantly reduced the relative abundance of Bacteroides(P＜0.05),and significantly increased the relative abundance of the CHKCI001 genus(P＜0.05).The study indicates that the addition of an appropriate amount of MOP to the feed of Wenchang chickens can improve intestinal mucosal morphology,increase the expression of the tight junction protein Occludin mRNA,reduce the expression of the inflammatory factor TNF-α mRNA,increase the Alpha-diversity and evenness of cecal microbiota,increase the content of beneficial bacteria in the intestine,and promote intestinal health.The appropriate amount of MOP is 500 mg/kg.