Diverse Effects Research Articles

Growth in small cities: the case of Aragon (Spain)

In this paper, we analyse the effects of productive specialisation and diversity on population growth at the local level in Aragon, a NUTS 2 region in Spain. is region is characterised by a highly uneven population distribution, with numerous small cities, and a large proportion of small businesses. We estimate panel data models considering data from 2000 to 2015 at the local level, encompassing 577 municipalities. Our results show that both localisation and urbanisation have a statistically significant positive effect on growth in Aragonese municipalities but only in cities with a population threshold of 3,000 or more inhabitants.

Analytical methods for determining environmental contaminants of concern in water and wastewater

Control and prevention of environmental pollution have emerged as paramount global concerns. Anthropogenic activities, such as industrial discharges, agricultural runoff, and improper waste disposal, introduce a wide range of contaminants into various ecosystems. These pollutants encompass organic and inorganic compounds, particulates, microorganisms, and disinfection by-products, posing severe threats to human health, ecosystems, and the environment. Effective monitoring methods are indispensable for assessing environmental quality, identifying pollution sources, and implementing remedial measures. This paper suggests that the development and utilization of highly advanced analytical tools are both essential for the analysis of contaminants in water samples, presenting a foundational hypothesis for the review. This paper comprehensively reviews the development and utilization of highly advanced analytical tools which is mandatory for the analysis of contaminants in water samples. Depending on the specific pollutants being studied, the choice of analytical methods widely varies. It also reveals insights into the diverse applications and effectiveness of these methods in assessing water quality and contaminant levels. By emphasizing the critical role of the reviewed monitoring methods, this review seeks to deepen the understanding of pollution challenges and inspire innovative monitoring solutions that contribute to a cleaner and more sustainable global environment.•Urgent global concerns: control and prevention of pollution from diverse sources.•Varied contaminants, diverse methods: comprehensive review of analytical tools.•Inspiring a sustainable future: innovative monitoring for a cleaner environment.

DFT analysis for structure, vibrational assignments, and molecular properties of medicinally important isoquinoline

2-Benzanine, also recognized as isoquinoline or benzo pyridine, acts as a weak tertiary base with diverse biological and pharmacological effects. These include potential activities against Parkinson’s disease, antimalarial, anti-HIV, insect growth, anticancer, antibiotic, antileukemic properties, and the ability to serve as a chiral ligand scaffold. In this study, the B3LYP technique and the basis set 6-311++G(d, p) were employed for both computational and experimental examinations of isoquinoline using density functional theory (DFT). The findings revealed that isoquinoline possesses a dipole moment of 2.004 D and rotational constants (GHz) of 3.101, 1.22, and 0.875. Various tests, including IR, UV–visible, HNMR, and binding energies, corroborated the experimental results. Analyzing the computed energy difference between the highest occupied molecular orbital (HOMO) at −5.581 eV and the lowest unoccupied molecular orbital (LUMO) at 1.801 eV indicated the stability of isoquinoline, with an energy gap of 3.78 eV. The electron polarizability and chemical hardness values were found to be 1.89 and 0.529, respectively. Drug-likeness tests suggest that isoquinoline could function as an antibiotic, given its similarity in effects to other compounds such as isoquinoline, quinolone, debrisoquine, palmatine, columbamine, and jatropine.

MANAGING DIVERSITY IN THE WORKPLACE: CHALLENGES AND BENEFITS OF IMPLEMENTATION IN ORGANIZATIONS

The article discusses an important issue of Ukrainian and global management - diversity in the workplace. It has been found that diversity in the workplace is becoming increasingly important in today's business environment, as society becomes more globalized and open to different cultural, gender, and age groups. The article examines the definitions of the concepts of "diversity", "diversity management", "inclusiveness", "organizational culture", and explores the nature and types of diversity. The main aspects of diversity, such as ethnic, gender, age and cultural differences, are revealed, and statistics and trends in diversity aspects are provided. The problems that arise when implementing diversity in the workplace are analyzed, including ethical aspects and openness to diversity, as well as internal and external factors that create possible obstacles. The positive effects of diversity in the workplace, such as increased creativity, innovation and competitive advantage, are discussed. However, it also highlights possible conflicts and communication problems, as well as the challenges associated with adaptation and staff training. Diversity management practices on the example of specific Ukrainian companies are analyzed and the importance of creating an open and inclusive environment is highlighted. In conclusion, diversity management in the workplace is important for Ukrainian organizations and its impact on management. The article identifies and characterizes key aspects of diversity management: promoting productivity and innovation, reducing the risk of employee loss and increasing staff engagement, improving the company's reputation and opening up new business opportunities, including markets with different cultural and gender characteristics. It is substantiated that diversity management in the workplace is of strategic importance for Ukrainian organizations, thereby creating conditions for sustainable development, competitiveness and improvement of the corporate climate, and contributes to the successful functioning and achievement of business goals.

The Influence of Institutional Investors' Clustering Behavior on A-Share Stock

Institutional investors' "clustering" behavior can have significant implications for the stock market, especially concerning its stability and the efficiency of the price discovery mechanisms. Recognizing this, this research utilized regression models to rigorously analyze the effects of such clustering practices on the abnormal returns and volatility of stocks that are targeted by Equity-oriented funds. This research also implemented a T-test to differentiate the impacts of various variables in both bull and bear market scenarios. The findings underscore that within China's A-share market, equity-oriented fund tend to favor certain sectors, with a significant inclination towards the manufacturing and finance sectors. Furthermore, the clustering behavior exhibited by these investors has diverse effects on stock abnormal returns and volatility, contingent upon the time scales and prevailing market conditions. This discovery provides insights into institutional investment strategies and the overarching stability of the market. For individual investors, it's crucial to note that stocks with heavy institutional ownership might exhibit increased volatility, particularly in bear market conditions. Therefore, incorporating this understanding could be important in investment decision-making processes.

The therapeutic potential of probucol and probucol analogues in neurodegenerative diseases.

Neurodegenerative disorders present complex pathologies characterized by various interconnected factors, including the aggregation of misfolded proteins, oxidative stress, neuroinflammation and compromised blood-brain barrier (BBB) integrity. Addressing such multifaceted pathways necessitates the development of multi-target therapeutic strategies. Emerging research indicates that probucol, a historic lipid-lowering medication, offers substantial potential in the realm of neurodegenerative disease prevention and treatment. Preclinical investigations have unveiled multifaceted cellular effects of probucol, showcasing its remarkable antioxidative and anti-inflammatory properties, its ability to fortify the BBB and its direct influence on neural preservation and adaptability. These diverse effects collectively translate into enhancements in both motor and cognitive functions. This review provides a comprehensive overview of recent findings highlighting the efficacy of probucol and probucol-related compounds in the context of various neurodegenerative conditions, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and cognitive impairment associated with diabetes.

Prevalence and genetic evolution of porcine reproductive and respiratory syndrome virus in commercial fattening pig farms in China.

To investigate the prevalence and evolution of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) at commercial fattening pig farms, a total of 1397 clinical samples were collected from a single fattening cycle at seven pig farms in five provinces of China from 2020 to 2021. The RT‒PCR results revealed that PRRSV was present on all seven farms, and the percentage of PRRSV-positive individuals was 17.54-53.33%. A total of 344 partial NSP2 gene sequences and 334 complete ORF5 gene sequences were obtained from the positive samples. The statistical results showed that PRRSV-2 was present on all seven commercial fattening farms, and PRRSV-1 was present on only one commercial fattening farm. A total of six PRRSV-2 subtypes were detected, and five of the seven farms had two or more PRRSV-2 subtypes. L1.8 (L1C) PRRSV was the dominant epidemic strain on five of the seven pig farms. Sequence analysis of L1.8 (L1C) PRRSV from different commercial fattening pig farms revealed that its consistency across farms varied substantially. The amino acid alignment results demonstrated that there were 131 aa discontinuous deletions in NSP2 between different L1.8 (L1C) PRRSV strains and that the GP5 mutation in L1.8 (L1C) PRRSV was mainly concentrated in the peptide signal region and T-cell epitopes. Selection pressure analysis of GP5 revealed that the use of the PRRSV MLV vaccine had no significant episodic diversifying effect on L1.8 (L1C) PRRSV. PRRSV infection is common at commercial fattening pig farms in China, and the percentage of positive individuals is high. There are multiple PRRSV subtypes of infection at commercial fattening pig farms in China. L1.8 (L1C) is the main circulating PRRSV strain on commercial fattening pig farms. L1.8 (L1C) PRRSV detected at different commercial fattening pig farms exhibited substantial differences in consistency but similar molecular characteristics. The pressure on the GP5 of L1.8 (L1C) PRRSV may not be directly related to the use of the vaccines.

Effects and mechanisms of board faultlines on decision quality

PurposeThe inconsistent results shown in previous group faultline research have created a need for investigating the underlying mechanisms of the faultline's effects. This study focuses on clarifying the competing mediating roles of information diversity and team conflict in the nonlinear relationship between board faultlines (BF) and decision quality.Design/methodology/approachThis study is empirically tested with the questionnaire data from 105 Chinese listed companies.FindingsThis study finds: (1) an inverted U-shaped curve relationship between BF and board decision quality and (2) that the joint mediating effect of team conflict and information diversity leads to the inverted U-shaped curve relationship between BF and decision quality. Specifically, BF shows a U-shaped curve relationship with team conflict and an inverted U-shaped curve relationship with information diversity. Either too weak or too strong faultlines will inhibit the positive effects of information diversity and amplify the negative effects of team conflicts, leading to low-quality decisions.Originality/valueThis study contributes to the research on: (1) board governance as it clarifies the effect of BF on the board decision-making process and its quality, which helps to open the black box of board decision-making and (2) group faultlines as it reveals how information diversity and team conflict can play a joint mediating role in the functioning of team faultlines.

Bioaerosols in the coastal region of Qingdao: Community diversity, impact factors and synergistic effect

Atmospheric bioaerosols are influenced by multiple factors, including physical, chemical, and biotic interactions, and pose a significant threat to the public health and the environment. The nonnegligible truth however is that the primary driver of the changes in bioaerosol community diversity remains unknown. In this study, putative biological association (PBA) was obtained by constructing an ecological network. The relationship between meteorological conditions, atmospheric pollutants, water-soluble inorganic ions, PBA and bioaerosol community diversity was analyzed using random forest regression (RFR)-An ensemble learning algorithm based on a decision tree that performs regression tasks by constructing multiple decision trees and integrating the predicted results, and the contribution of different rich species to PBA was predicted. The species richness, evenness and diversity varied significantly in different seasons, with the highest in summer, followed by autumn and spring, and was lowest in winter. The RFR suggested that the explanation rate of alpha diversity increased significantly from 73.74 % to 85.21 % after accounting for the response of the PBA to diversity. The PBA, temperature, air pollution, and marine source air masses were the most crucial factors driving community diversity. PBA, particularly putative positive association (PPA), had the highest significance in diversity. We found that under changing external conditions, abundant taxa tend to cooperate to resist external pressure, thereby promoting PPA. In contrast, rare taxa were more responsive to the putative negative association because of their sensitivity to environmental changes. The results of this research provided scientific advance in the understanding of the dynamic and temporal changes in bioaerosols, as well as support for the prevention and control of microbial contamination of the atmosphere.

Erzhi pills reverse PD-L1-mediated immunosuppression in melanoma microenvironment

BackgroundCancer immunotherapies aimed at activating immune system, especially by blocking immune checkpoints, have become a successful modality for treating patients with advanced cancers. However, its clinical practice is frequently conceded by high outcomes, low initial response rates and severe side effects. New strategies are necessary to complement and advance this biological therapy. Erzhi Pills (EZP) have diverse pharmaceutical effects including immune regulation, anti-tumor and anti-senescence. We hypothesized that EZP could exert its antitumor effect through immunomodulation. PurposeThe aim of this study was to investigate the effects of EZP on anti-tumor activities, and define its molecular mechanisms. MethodsBy applying melanoma model with high immune infiltrates, we determined the anti-melanoma effect of EZP. To identify whether this effect was mediated by direct targeting tumor cells, cell viability and apoptosis were examined in vitro. Network pharmacology analysis was used to predict the potential mechanisms of EZP for melanoma via immune response. Flow cytometry, immunohistochemistry (IHC), enzyme-linked immunosorbent assay (ELISA) and crystal violet (CV) experiments were performed to detect T cell infiltrations and functions mediated by EZP. The mechanism of EZP was further investigated by western blotting both in vivo and in vitro. ResultsThe administration of EZP significantly inhibited tumor weight and volume. EZP extract could only slightly reduce cell viability and induce melanoma apoptosis. Network pharmacology analysis predicted that JAK-STAT signaling pathway and T cell receptor signaling pathway might be involved during EZP treatment. Flow cytometry and IHC analyses showed that EZP increased the number of CD4+ T cells and enhanced the function of CD8+ T cells. In co-culture experiments, EZP elevated killing ability of T cells. Western blotting showed that EZP treatment reduced PD-L1 signaling pathway. ConclusionThese findings indicated that EZP exerted anti-melanoma effects by inducing apoptosis and blocking PD-L1 to activate T cells. EZP might represent a promising candidate drug for cancer immunotherapies.

Gray matter covariations in autism: out-of-sample replication using the ENIGMA autism cohort

BackgroundAutism spectrum disorder (henceforth autism) is a complex neurodevelopmental condition associated with differences in gray matter (GM) volume covariations, as reported in our previous study of the Longitudinal European Autism Project (LEAP) data. To make progress on the identification of potential neural markers and to validate the robustness of our previous findings, we aimed to replicate our results using data from the Enhancing Neuroimaging Genetics Through Meta-Analysis (ENIGMA) autism working group.MethodsWe studied 781 autistic and 927 non-autistic individuals (6–30 years, IQ ≥ 50), across 37 sites. Voxel-based morphometry was used to quantify GM volume as before. Subsequently, we used spatial maps of the two autism-related independent components (ICs) previously identified in the LEAP sample as templates for regression analyses to separately estimate the ENIGMA-participant loadings to each of these two ICs. Between-group differences in participants’ loadings on each component were examined, and we additionally investigated the relation between participant loadings and autistic behaviors within the autism group.ResultsThe two components of interest, previously identified in the LEAP dataset, showed significant between-group differences upon regressions into the ENIGMA cohort. The associated brain patterns were consistent with those found in the initial identification study. The first IC was primarily associated with increased volumes of bilateral insula, inferior frontal gyrus, orbitofrontal cortex, and caudate in the autism group relative to the control group (β = 0.129, p = 0.013). The second IC was related to increased volumes of the bilateral amygdala, hippocampus, and parahippocampal gyrus in the autism group relative to non-autistic individuals (β = 0.116, p = 0.024). However, when accounting for the site-by-group interaction effect, no significant main effect of the group can be identified (p > 0.590). We did not find significant univariate association between the brain measures and behavior in autism (p > 0.085).LimitationsThe distributions of age, IQ, and sex between LEAP and ENIGMA are statistically different from each other. Owing to limited access to the behavioral data of the autism group, we were unable to further our understanding of the neural basis of behavioral dimensions of the sample.ConclusionsThe current study is unable to fully replicate the autism-related brain patterns from LEAP in the ENIGMA cohort. The diverse group effects across ENIGMA sites demonstrate the challenges of generalizing the average findings of the GM covariation patterns to a large-scale cohort integrated retrospectively from multiple studies. Further analyses need to be conducted to gain additional insights into the generalizability of these two GM covariation patterns.

Proper C/N ratio enhances the effect of plant diversity on nitrogen removal and greenhouse effect mitigation in floating constructed wetlands.

Treating wastewater with low carbon-to-nitrogen (C/N) ratios by constructed wetlands (CWs) is still problematic. Adding chemicals is costly and may cause secondary pollution. Configuring plant diversity in substrate-based CWs has been found to be a better way to treat low-C/N wastewater, but wastewater treatment in floating CWs needs to be studied. In this study, wastewater with C/N ratios of 5 and 10 were set in simulated floating CWs, and 9 combinations with plant species richness (SR) of 1, 3, and 4 were configured. The results showed that (1) increasing SR improved the total N mass removal (NMR) by 29% at a C/N ratio of 5 but not 10; (2) the presence of Oenanthe javanica in the microcosms increased the NMR by 13% and 20% with C/N ratios of 5 and 10, respectively; (3) increasing SR mitigated the net global warming potential (GWP) by 120% at a C/N ratio of 5 but not 10; and (4) a Hemerocallis fulva × O. javanica × Echinodorus parviflours × Iris hybrids mixture resulted in a high NMR and low net GWP. In summary, assembling plant diversity in floating CWs is an efficient and clean measure during the treatment of wastewater with a C/N ratio of 5.

Positive effects of plant species diversity on organic carbon accumulation in soil aggregates driven by mineral protection in a subtropical forest in southwest China

Positive effects of plant species diversity on organic carbon accumulation in soil aggregates driven by mineral protection in a subtropical forest in southwest China

Modulation of neural circuits by melatonin in neurodegenerative and neuropsychiatric disorders.

Neurodegenerative and neuropsychiatric disorders are two broad categories of neurological disorders characterized by progressive impairments in movement and cognitive functions within the central and peripheral nervous systems, and have emerged as a significant cause of mortality. Oxidative stress, neuroinflammation, and neurotransmitter imbalances are recognized as prominent pathogenic factors contributing to cognitive deficits and neurobehavioral anomalies. Consequently, preventing neurodegenerative and neuropsychiatric diseases has surfaced as a pivotal challenge in contemporary public health. This review explores the investigation of neurodegenerative and neuropsychiatric disorders using both synthetic and natural bioactive compounds. A central focus lies on melatonin, a neuroregulatory hormone secreted by the pineal gland in response to light-dark cycles. Melatonin, an amphiphilic molecule, assumes multifaceted roles, including scavenging free radicals, modulating energy metabolism, and synchronizing circadian rhythms. Noteworthy for its robust antioxidant and antiapoptotic properties, melatonin exhibits diverse neuroprotective effects. The inherent attributes of melatonin position it as a potential key player in the pathophysiology of neurological disorders. Preclinical and clinical studies have demonstrated melatonin's efficacy in alleviating neuropathological symptoms across neurodegenerative and neuropsychiatric conditions (depression, schizophrenia, bipolar disorder, and autism spectrum disorder). The documented neuroprotective prowess of melatonin introduces novel therapeutic avenues for addressing neurodegenerative and psychiatric disorders. This comprehensive review encompasses many of melatonin's applications in treating diverse brain disorders. Despite the strides made, realizing melatonin's full neuroprotective potential necessitates further rigorous clinical investigations. By unravelling the extended neuroprotective benefits of melatonin, future studies promise to deepen our understanding and augment the therapeutic implications against neurological deficits.

Tree Crown Segmentation and Diameter at Breast Height Prediction Based on BlendMask in Unmanned Aerial Vehicle Imagery

The surveying of forestry resources has recently shifted toward precision and real-time monitoring. This study utilized the BlendMask algorithm for accurately outlining tree crowns and introduced a Bayesian neural network to create a model linking individual tree crown size with diameter at breast height (DBH). BlendMask accurately outlines tree crown shapes and contours, outperforming traditional watershed algorithms in segmentation accuracy while preserving edge details across different scales. Subsequently, the Bayesian neural network constructs a model predicting DBH from the measured crown area, providing essential data for managing forest resources and conducting biodiversity research. Evaluation metrics like precision rate, recall rate, F1-score, and mAP index comprehensively assess the method’s performance regarding tree density. BlendMask demonstrated higher accuracy at 0.893 compared to the traditional watershed algorithm’s 0.721 accuracy based on experimental results. Importantly, BlendMask effectively handles over-segmentation problems while preserving edge details across different scales. Moreover, adjusting parameters during execution allows for flexibility in achieving diverse image segmentation effects. This study addresses image segmentation challenges and builds a model linking crown area to DBH using the BlendMask algorithm and a Bayesian neural network. The average discrepancies between calculated and measured DBH for Ginkgo biloba, Pinus tabuliformis, and Populus nigra varitalica were 0.15 cm, 0.29 cm, and 0.49cm, respectively, all within the acceptable forestry error margin of 1 cm. BlendMask, besides its effectiveness in crown segmentation, proves useful for various vegetation classification tasks like broad-leaved forests, coniferous forests, and grasslands. With abundant training data and ongoing parameter adjustments, BlendMask attains improved classification accuracy. This new approach shows great potential for real-world use, offering crucial data for managing forest resources, biodiversity research, and related fields, aiding decision-making processes.

Related Board Diversity and Firm Value

This study aims to examine the effect of board diversity in the form of tenure, level of education and expertise on firm value. The sample in this study used property, real estate and construction companies listed on the Indonesia Stock Exchange in 2017-2021. Based on the results of purposive sampling, 210 companies were obtained that met the sample criteria. This study used quantitative methods and multiple regression analysis using secondary data in the form of annual reports and financial reports available on the Indonesia Stock Exchange. The results of hypothesis testing show that the diversity of board experience has a positive effect on firm value while the diversity of tenure and education level of the board of directors has no effect on firm value. The findings of this study can be used by companies in establishing good corporate governance to improve company performance and investor confidence

Are anti-dumping investigations against China ineffective in curbing innovation? Evidence from firms’ patent filings

ABSTRACT This paper empirically investigates the effect of anti-dumping investigations on export firm innovation performance using Chinese firm-level patent filings data and anti-dumping case from 2000 to 2013. By employing the staggered difference-in-differences strategy, our empirical evidence shows that anti-dumping investigations imposed on firms lead to an improvement in innovation rather than suppression. Further examination identifies that the trade diversion effect is a crucial mechanism through which anti-dumping investigations affect firm innovation. We find that firms are experiencing a significant increase in exports of investigated products to non-involved countries, while also expanding their export destinations and diversifying the range of exported products. Heterogeneity analysis indicates that anti-dumping charges significantly promote innovation in high-productivity firms and multi-product exporting enterprises, while financial constraints are identified as a crucial factor restricting innovation.

Financial stability, innovation and green development

Eco-efficiency is a biggest universal challenge and one-fourth CO₂ emission produce by World Transport sector. The main objective to examines the effect of External finance and Transport Power Diversity on Eco-efficiency and identify best finance and transport eco-power source. This study used two ways of data analysis; first, past and future trend analysis, and second, Regression, GMM and Robust measurement; first, External finance Trend of four countries, Japan has least dependent country, china only face dependency in FDI, while Pakistan major dependency on Remittances and ODA-Foreign-Aid. Fuel Consumption Trend; Japan Eco-efficiency policy is better than other three countries. Second; Regression and GMM results indicates external finance i.e. FDI, Remittances, ODA and Transport Power Source i.e. Oil and Electric 1% high significant impact on eco-efficiency, SDGs, GDP highly significant inverse, health negative and Per-Capita GDP, Government Consumption positive relationships exist with Eco-efficiency and robust test validate the results. Study suggested external finance modern finance source for technology enhancement and economy. Transport Cargo-system need to be design according eco-friendly.

Effective tax rate, board diversity, and firm performance: Evidence from the electric and electronic industry

This study examines the effect of effective tax rate (ETR) and board diversity on the performance of Malaysian public-listed companies (PLCs) in the electric and electronic (E&E) industry. The sample of this study comprised 51 E&E public companies listed in the Main Market of Bursa Malaysia during the financial periods 2018 and 2022. This study documents a significant positive relationship between firm performance and ETR, consistent with the political cost theory, suggesting that high-performing industries such as E&E are more at risk of political scrutiny and, hence, tend to pay higher amounts of tax despite the tax incentives provided by the government. Interestingly, foreign directors are negatively related to a firm’s performance. The possible explanation for this is that the E&E industry is highly regulated by the Malaysian government; hence, foreign directors’ contribution and authority to make independent strategic changes to drive the firm’s performance are limited. Finally, the effect of female directors on firm performance is found to be insignificant, possibly because, on average, only 10% of women are represented on the board of the E&E PLCs. The study findings are of significant interest and beneficial to policymakers, the government, and tax authorities in trying to understand the implications, assess the effectiveness, and tightly monitor the tax incentives and board diversity policy of the E&E companies.

Investigating Flood Characteristics and Mitigation Measures in Plain-Type River-Connected Lakes: A Case Study of Poyang Lake

The flow of plain-type river-connected lakes is affected by both upstream and downstream rivers, and the hydrological conditions are very complex. Poyang Lake, situated in Jiangxi Province, is the largest river-connected lake in the Yangtze River Basin. Its unique geographical features and complex hydrological conditions have made it a heavy disaster area and a frequent area of floods since ancient times. As typical mitigation measures of Poyang Lake, semi-restoration polder areas and flood storage and detention areas play a crucial role in the flood control of Poyang Lake. Taking Poyang Lake as an example, this article studies the flood characteristics of Poyang Lake based on the measured hydrological data. Furthermore, by using the weir (gate) outflow formula to construct the hydraulic model of semi-restoration polder areas and DHI MIKE to construct the hydrodynamic model of Kangshan flood storage and detention area, the flood diversion capacity of the two, and the flood diversion effect under the super-historical flood in 2020 are analyzed. The results show that compared with the non-use of mitigation measures, the maximum cumulative reduction in Xingzi water level can be reduced by 0.68 m and 0.48 m when semi-restoration polder areas and Kangshan flood storage and detention areas are used alone. Finally, the article puts forward some thoughts and suggestions on the flood control of Poyang Lake. The research results can offer some reference to the flood risk management of plain-type river-connected lakes.