Management Methods Research Articles

Efficacy and safety of the serratus anterior plane block (SAP block) for pain management in patients with multiple rib fractures in the emergency department: a retrospective study.

Chest trauma is a severe and frequent cause of admission to the emergency department (ED). The serratus anterior plane (SAP) block seems to be an effective method of pain management; however, data on efficacy and safety of a single SAP block performed in the ED by emergency physicians (EP) are limited. This study aimed to compare SAP block performed by the EP in the ED plus standard therapy to standard therapy alone in terms of pain severity at 0-3-6-12-18 and 24h, total opioid consumption (milligrams of morphine equivalents, MME), respiratory function (SpO2/FiO2 ratio), and adverse events (i.e. pneumothorax, infections in the site of injection, or Local Anaesthetic Systemic Toxicity syndrome due to SAP block) in the first 24h. This retrospective, monocentric study included adult patients admitted to the Sub-intensive Care Unit (SICU) of the ED with multiple rib fractures between 01/2022 and 03/2023. 156 patients (65.4% male; median age 62 years; median injury severity score 16; median thoracic trauma severity score 8) were included. 75 (48.2%) underwent SAP block. Patients undergoing SAP block showed significantly less pain 3-6-18h after a single block, required less MME (0 [0-20] vs. 20 [0-40], p < 0.001), showed higher SpO2/FiO2 ratio, and no adverse events were reported. The SAP block, in combination with standard therapy, appeared to be more effective in providing pain relief than standard therapy alone in patients admitted to the SICU for traumatic rib fractures.

Housebuilding Finance in the United States: From Budgeting to Funding

This article precisely identifies housebuilding finance in the United States as a complex procedure of primary concern to those who wish to become homeowners or builders, susceptible to the state of the economy and shifts in policies. Therefore, the purpose of this research will be to provide extensive coverage of the processes involved in budgeting right through to obtaining and directing funds. This study adopts a qualitative research method to ascertain budgeting techniques, sources of finance, means of obtaining loans, financial controls during construction through literature, industry, and documents. Discussions also focus on the governmental initiatives and economic environment stressing the need for money comprehension. Issues such as budgeting down to the last detail, variety of financial sources and methods of financial management are highlighted as important aspects. Some recommendation areas are improvement of budgeting, increasing the financing options’ awareness, and the optimization of the existing times of lending to boost housebuilding finance in the USA.

A novel hypovirulence-associated Hadaka virus 1 (HadV1-LA6) in Fusarium oxysporum f. sp. cubense.

Fusarium oxysporum f. sp. cubense (Foc) poses a significant threat to banana crops as a lethal fungal pathogen. The global spread of Foc underscores the formidable challenges associated with traditional management methods in combating this pathogen. This study delves into the hypovirulence-associated mycovirus in Foc. From Foc strain LA6, we isolated and characterized a novel member of the Hadakaviridae family, named Hadaka virus 1 strain LA6 (HadV1-LA6). HadV1-LA6 comprises 10 genomic RNA segments, with RNA1 to RNA7 sharing 80.9%-95.0% amino acid sequence identity with known HadV1-7n, while RNA8 to RNA10 display significantly lower identity. HadV1-LA6 demonstrates horizontal transmission capabilities in an all-or-none fashion between different Foc strains via coculturing. Phenotypic comparisons highlight that HadV1-LA6 significantly reduces the growth rates of its host fungus under cell wall stress and oxidative stress conditions. Importantly, HadV1-LA6 attenuates Foc's virulence in detached leaves and banana plants. This study represents the first introduction of a novel hypovirulence-associated Hadaka virus 1 in Foc.IMPORTANCEFusarium wilt of banana (FWB) is a severe fungal disease caused by soil-borne Fusarium oxysporum f. sp. cubense (Foc). Among various strategies, biocontrol emerges as a safe, ecologically friendly, and cost-effective approach to managing FWB. In this study, we focus on exploring the potential of a novel hypovirulent member of hadakavirid, HadV1-LA6. Previous reports suggest that HadV1 shows no apparent effect on the host. However, through phenotypic assessments, we demonstrate that HadV1-LA6 significantly impedes the growth rates of its host fungus under stress conditions. More importantly, HadV1-LA6 exhibits a remarkable capacity to attenuate Foc's virulence in detached leaves and banana plants. Furthermore, HadV1-LA6 could be horizontally transmitted between different Foc strains, presenting a promising resource for revealing the molecular mechanism of the interaction between Hadaka virus 1 and its host.

Assessing the Performance of TOR Lubricants in Humid Environments and Under Dew Conditions

Top-of-rail (TOR) lubricants are commonly used for friction control in railway operations. They aim to lower friction and reduce noise and wear while ensuring sufficient transmission of traction/braking forces. However, the wheel–rail interface is an open system, so the conditions may suddenly change due to the weather, and different contaminants may enter the contact and influence the performance of these lubricants. Thus, this study examined the effect of humidity and dew on two commercial products, as these conditions often occur on the track. A methodology based on a creep curves measurement approach was used to assess product performance under various scenarios. All measurements were conducted on a universal tribometer in the ball-on-disc configuration covered with a climate chamber. The results show a strong influence of dew on the tested products, as dew lowered their performance parameters and caused low adhesion problems. Possible mechanisms of water–oil interaction and formation of oxidic third body layers were discussed. The main findings indicate that TOR lubricants may cause traction/braking problems if used in dew conditions. The present study may be helpful in optimising friction management methods in the future.Graphical

Analyzing the Negative Impact of Supply Chain Regionalization

In response to increasing global trade, IKEA implemented a more efficient supply chain strategy and introduced a new policy in 2011 to localize its supply chain. The objective of this inquiry was to examine the alterations in supply chain management. Following the transition from centralized to regionalized supply chains, corporations faced adverse consequences such as decreased operational efficiency, increased operating expenses, and reduced adaptability in meeting market needs. These implications include increased complexity in supply chain management, decentralized operating models that result in repeated investments in fixed assets, and trade restrictions that create challenges in integrating information. The article proposes implementing efficient management systems, enhancing collaboration with local suppliers, and utilizing artificial intelligence to optimize the structure of the supply chain based on the observed impacts and outcomes. The objective is to offer risk management guidance for firms that have reached maximum production capacity and require a shift in their supply chain management methods.

Digital agricultural technology services and farmers’ willingness to choose digital production technology in Sichuan province, China

IntroductionDigital agricultural technology service has the characteristics of high efficiency, convenience and flexibility, and plays an important role in the process of Chinese agricultural digitalization, which is of great significance for realizing the modernization and intelligent development of agricultural production.MethodsBased on micro-survey data of small-scale farmers in Sichuan Province, this study utilizes the OLS method and the mediation effect model to investigate the impact of digital agricultural technology services on farmers’ willingness to adopt digital production technologies and its underlying mechanisms.ResultsThe results indicate that digital agricultural technology services effectively enhance farmers’ willingness to adopt digital production technologies, especially among those engaged in cooperative. Further analysis of mechanisms suggests that digital agricultural technology services influence farmers’ choices of household production and management methods by expanding their information channels, enhancing their cognition of digital production technologies, and facilitating access to technology. Moreover, heterogeneous analysis reveals significant differences in the willingness of farmers with varying levels of digital literacy to adopt digital production technologies. Digital agricultural technology services have a more pronounced impact on the willingness of highly digitally literate farmers.DiscussionThe findings of this paper deepen our comprehension of the operational mechanisms of digital agricultural technology services in the context of agricultural development, and advocate for policy recommendations such as enhancing the supply of digital agricultural technology services, strengthening the role of new agricultural entities, improving farmers’ digital literacy training, and enhancing policy support systems.

Status of Cassava Witches’ Broom Disease in the Philippines and Identification of Potential Pathogens by Metagenomic Analysis

Cassava witches’ broom disease (CWBD) is one of the most devastating diseases of cassava (Manihot esculenta Crantz), and it threatens global production of the crop. In 2017, a phytoplasma, Candidatus Phytoplasma luffae (Ca. P. luffae), was reported in the Philippines, and it has been considered as the causal agent, despite unknown etiology and transmission of CWBD. In this study, the nationwide occurrence of CWBD was assessed, and detection of CWBD’s pathogen was attempted using polymerase chain reaction (PCR) and next-generation sequencing (NGS) techniques. The results showed that CWBD has spread and become severe, exhibiting symptoms such as small leaf proliferation, shortened internodes, and vascular necrosis. PCR analysis revealed a low phytoplasma detection rate, possibly due to low titer, uneven distribution, or absence in the CWBD-symptomatic cassava. In addition, NGS techniques confirm the PCR results, revealing the absence or extremely low phytoplasma read counts, but a surprisingly high abundance of fastidious and xylem-limited fungus, Ceratobasidium sp. in CWBD-symptomatic plants. These findings cast doubt over the involvement of phytoplasma in CWBD and instead highlight the potential association of Ceratobasidium sp., strongly supporting the recent findings in mainland Southeast Asia. Further investigations are needed to verify the etiology of CWBD and identify infection mechanisms of Ceratobasidium sp. to develop effective diagnostic and control methods for disease management.

Procyanidin C1 inhibits bleomycin-induced pulmonary fibrosis in mice by selective clearance of senescent myofibroblasts.

Pulmonary fibrosis is a formidable challenge in chronic and age-related lung diseases. Myofibroblasts secrete large amounts of extracellular matrix and induce pro-repair responses during normal wound healing. Successful tissue repair results in termination of myofibroblast activity via apoptosis; however, some myofibroblasts exhibit a senescent phenotype and escape apoptosis, causing over-repair that is characterized by pathological fibrotic scarring. Therefore, the removal of senescent myofibroblasts using senolytics is an important method for the treatment of pulmonary fibrosis. Procyanidin C1 (PCC1) has recently been discovered as a senolytic compound with very low toxicity and few side effects. This study aimed to determine whether PCC1 could improve lung fibrosis by promoting apoptosis in senescent myofibroblasts and to investigate the mechanisms involved. The results showed that PCC1 attenuates bleomycin (BLM)-induced pulmonary fibrosis in mice. In addition, we found that PCC1 inhibited extracellular matrix deposition and promoted the apoptosis of senescent myofibroblasts by increasing PUMA expression and activating the BAX signaling pathway. Our findings represent a new method of pulmonary fibrosis management and emphasize the potential of PCC1 as a senotherapeutic agent for the treatment of pulmonary fibrosis, providing hope for patients with pulmonary fibrosis worldwide. Our results advance our understanding of age-related diseases and highlight the importance of addressing cellular senescence in treatment.

Formation of the Idea of Cloud Technology and Its Legal Features in the Kyrgyz Republic

The article discusses the ideas of forming cloud technologies in the general information structure of the Kyrgyz Republic, features, disadvantages, as well as ways to further improve cloud systems. The experience of building cloud technologies at various stages of information development of the state in the form of creating strategies, programs and concepts has been studied. Proposals for the development of cloud technologies aimed at improving individual management methods in the system of state information complexes have been identified.

Treatment and management of medullary thyroid microcarcinoma: a 10-year retrospective study from a single center.

To explore individualized treatment and management methods for medullary thyroid microcarcinoma (MTMC). Clinical data of patients with medullary thyroid carcinoma with a diameter ≤1 cm admitted to the First Affiliated Hospital of Kunming Medical University from June 2013 to June 20× were collected. Combined with different treatment guidelines for medullary thyroid carcinoma, factors affecting lymph node metastasis and postoperative disease status were analyzed. Twenty-nine patients with MTMC were included in the analysis, including 24 patients who underwent total thyroidectomy, 5 who underwent thyroid gland lobectomy, and 13 who experienced postoperative lymph node metastasis. Multifocal tumor and calcitonin (Ctn) were the influencing factors, while multifocal tumor, Ctn, lymph node metastasis, and AJCC stage affected the dynamic risk stratification of postoperative disease. Calcitonin detection is an important method for detecting MTMC. A tumor diameter ≤1 cm does not indicate that the tumor is in the early stage. The presence of multifocal tumors and Ctn should be used as important indicators for preoperative evaluation. Dynamic stratified risk assessment is critical in postoperative follow-up.

Exploring Financial Risks in Relation to Performance of MPESA Agents in Rural Areas, Kenya

The growth of mobile banking services, specifically Mpesa, has transformed financial transactions in Kenya, particularly in marginalized and rural regions. Ever since Safaricom introduced Mpesa in 2007, it has enabled various financial transactions like money transfers, bill payments, savings, and loans, becoming vital to Kenya's financial infrastructure. In rural areas, Mpesa shops are at risk of facing financial challenges which can impact their operations and long-term success. This research investigates how liquidity, credit, and operational risks affect the financial performance of Mpesa outlets in rural Kenya. The mismatch between cash coming in and going out results in liquidity risks, which can cause service interruptions and unhappy customers. Credit risks, resulting from borrowers failing to repay loans on time or defaulting, put pressure on cash flow and the stability of finances. Operational risks like technical failures, fraud, and regulatory non-compliance pose additional threats to the functionality and customer trust of the shops. By thoroughly analyzing pertinent literature and empirical data, this research investigates the way in which these risks interplay and impact the economic sustainability of Mpesa shops. The results are intended to guide improved risk management methods and policy suggestions to strengthen the resilience and sustainability of Mpesa agents, guaranteeing ongoing availability of crucial financial services in rural Kenya.

Hubungan Entreperneur Self-Efficacy dengan Hardiness terhadap Pemuda dalam Kewirausahaan di Masa Pandemi

This study aims to determine the level and relationship of entrepreneur self-efficacy and hardiness. In line with the objectives of this research, this research uses quantitative research methods. The research subjects were 150 youths. The method of data collection is by distributing questionnaires. With the data management method using descriptive analysis and correlation test. The results of this study that youth have a high level of entrepreneurial self-efficacy or entrepreneurial self-efficacy. This is obtained from the data, namely youth with a high category of self-efficacy in entrepreneurship as many as 74 people. The data obtained shows relevance to the factor, namely the pressure obtained due to the pandemic period causing youth to have self-initiation against the conditions experienced. Therefore, the entrepreneurial attitude dimensions of self-efficacy and hardiness are needed for the formation of strong and confident entrepreneurs, especially during a pandemic which requires taking risks when economic growth declines.

Transformasi Sampah Menjadi Sumber Daya: " Dalam Penyuluhan Pengelolaan kompos di Komunitas Parisada Hindy Dharma Semarang Selatan

This outreach examines efforts to transform waste into resources through education on compost management in the South Semarang Hindu Parisada Dharma Community. The education aims to raise awareness among the public about the importance of managing organic waste by composting as a strategy to support environmental sustainability. Suitable compost management methods tailored to community needs are selected and promoted, involving community leaders and local groups to ensure active participation and deep understanding of the waste recycling process. The outcomes of this outreach are expected to make a positive contribution by reducing the volume of organic waste going to landfills and enhancing the utilization of local potential to support overall environmental sustainability. Transforming organic waste into compost not only mitigates negative environmental impacts but also makes the community engagement initiative focused on compost management in the South Semarang Hindu Parisada Dharma Community relevant and strategic. This program is anticipated to empower the community to manage organic waste as a resource with economic and ecological value. By leveraging local potential and community wisdom, this effort can serve as an inspiring example for other communities in promoting environmental sustainability and reducing the negative impacts of waste management in general.

Integration of Waste Management in Textile Industries of India

The foundation of India's economic growth, the textile sector, has experienced unheard-of growth in recent decades, along with a rise in environmental issues brought on by significant waste generation. This comprehensive study sets out to look into and analyze how waste management techniques are incorporated into the rich history of the Indian textile sector. The study offers a thorough review of current waste management techniques, environmental impact evaluations, and creative solutions influencing the path toward sustainability, bridging the gap between qualitative and quantitative analysis. The introduction sets the context by outlining the mutually beneficial relationship between the expansion of the textile industry and its subsequent environmental load. The clothing industry has gained prominence due to the increase in demand for its products, however, a paradigm shift is required due to the waste generated by this industry. The study aims to perform a thorough analysis of waste management processes, conduct a quantitative assessment of the environmental implications, and investigate comprehensive strategies for sustainable waste management. The chapter on qualitative analysis explores the complex aspects of waste management in the textile industries of India. This section explains the nuances of waste generation at different phases of textile production by carefully examining existing methods, case studies, and industry dynamics. A thorough grasp of the qualitative landscape is revealed, encompassing everything from yarn and fabric waste to the difficulties presented by chemical residues and the disposal of end-of-life textiles. The importance of awareness and corporate responsibility in influencing waste management methods is also highlighted in this section. Case studies of top textile producers present creative approaches and offer insights into the possibilities of technological developments, cooperative efforts, and models of the circular economy. Nonetheless, difficulties ranging from technology constraints to cultural obstacles highlight how difficult it is to smoothly integrate sustainable practices throughout the sector. The chapter on integration strategies looks at potential directions that could change the way waste is managed in the textile industry in India. Models of the circular economy take center stage because they provide a comprehensive approach to production and disposal. Case studies from real-world applications highlight the revolutionary potential of upcycling and sophisticated recycling technology, offering insights into how these strategies could lessen the industry's environmental impact. Co-processing in cement kilns is a two-pronged method that solves waste disposal issues and produces useful resources. The potential for improved trash sorting and identification is demonstrated by the combination of artificial intelligence and data analytics, opening the door to increased process efficiency in waste management. The study's conclusion emphasizes that although the study has been helpful, the search for India's sustainable textile waste management is still an ongoing project. The industry is at a turning point in its evolution, and the factors pushing it in that direction will be sustained research and innovation leading the way toward a time when environmental stewardship and economic prosperity coexist together. Every thread woven into the fabric of the Indian textile industry offers a story of sustainability, adaptability, and responsible International Journal of Scientific Research in Engineering and Management (IJSREM) Volume: 08 Issue: 07 | July - 2024 SJIF Rating: 8.448 ISSN: 2582-3930 © 2024, IJSREM | www.ijsrem.com DOI: 10.55041/IJSREM36458 | Page 2 growth; therefore, the success of this journey will depend on the collective duty of industry stakeholders, policymakers, and consumers. Essentially, the goal of this extensive study is to serve as a compass for the Indian textile sector, offering a path forward to a time when environmental conservation and economic growth coexist peacefully.

Thermochemical Valorization of Plastic Waste Containing Low Density Polyethylene, Polyvinyl Chloride and Polyvinyl Butyral into Thermal and Fuel Energy

Pyrolysis is a promising technology for transforming waste plastics (WPs) into high-value products. In the near future it will play a key role in the circular economy, as a sustainable and environmentally friendly method of managing this waste. Although the literature reports on the pyrolysis of plastics, it is focused on pure polymers. On the other hand, the state-of-the-art knowledge about the pyrolysis of mixed and contaminated WPs is still scarce. Industrial waste processing usually uses polymer mixtures containing various impurities that influence the pyrolysis process during chemical WPs recycling. In the paper the pyrolysis of three types of WPs: low density polyethylene (LDPE), polyvinyl chloride (PVC) and polyvinyl butyral (PVB) from repeated mechanical recycling of plastics, as well as their binary and ternary mixtures, is considered. The influence of particular components on the pyrolysis process is analyzed. The aim is to determine synergistic behavior of the mixtures during the pyrolysis process, which is important for increasing the efficiency and quality of the obtained bioproducts. Methods such as thermogravimetric (TG/DTG) analysis coupled with Fourier transform infrared spectroscopy (FTIR) and mass spectroscopy (MS) are used. The variations in the initial and final temperature of pyrolysis, mass loss and mass loss rate are determined. The content of PVC significantly lowers the initial temperature and mass loss and increases the final temperature. The pyrolysis of the considered mixtures shows a noticeable synergism—in the initial stage of pyrolysis up to a temperature around 450 °C, the mass loss is accelerated compared to what is predicted by simple superposition. The inhomogeneity of the mixtures as well as the waste origin causes a significant variation in the activation energy. Three main conclusions are obtained: (i) if the waste does not contain PVC, the pyrolysis is nearly complete at a temperature around 500 °C at a heating rate of 10 °C/min, whereas PVC is not fully processed even at 995 °C; (ii) the synergistic effects affect significantly the pyrolysis process by accelerating some steps and lowering the activation energy; and (iii) the presence of PVC noticeably lowers the temperature of the first stage of PVB pyrolysis. The investigation results prove that chemical recycling of mixed LDPE, PVC and PVB waste can be an effective method of plastic waste management.

Local residents’ willingness to allow deer herd reduction and other CWD operations on their property

ABSTRACT Herd reduction or reducing the population density of deer in infested areas is a widely considered method to combat CWD. However, the viability of this method relies on interest and cooperation from local residents that may have different values, attitudes towards such methods. This paper summarizes key findings from a recent survey of local residents in CWD infested area in West Tennessee to explain the barriers and opportunities in securing local cooperation for this method of CWD management. State wildlife agencies and their conservation partners will benefit from these findings in designing appropriate communication, outreach and incentive mechanism towards a successful CWD management.

GC-YOLOv9: Innovative smart city traffic monitoring solution

In urban smart city environments, traffic hazards can lead to catastrophic outcomes, including significant property losses and severe threats to public safety. Conventional traffic monitoring systems are limited in terms of accuracy and speed, presenting significant challenges for real-time traffic surveillance. To tackle these challenges, this paper introduces the GC-YOLOv9 algorithm. Specifically, we have enhanced the YOLOv9 model by incorporating Ghost Convolution, markedly improving the model’s perceptual abilities and detection accuracy. Furthermore, this study designed an integrated smart city framework that includes layers for service applications, the Internet of Things, edge processing, and data centers. By deploying the enhanced YOLOv9 model within this framework, our method achieved mAP@0.5 scores of 77.15 and 74.95 on the BDD100K and Cityscapes datasets, respectively, surpassing existing technologies. Additionally, the potential applications of this method in public area fire safety management, forest fire monitoring, and intelligent security systems further underscore its significant value in improving the safety and efficiency of smart cities.

A dual-path model merging CNN and RNN with attention mechanism for crop classification

Rapid and accurate crop classification is essential for estimating crop information and improving cropland management. The application of deep learning models for crop classification using time-series data has become the most promising method. However, most approaches rely on single models for data processing result in lower classification accuracy and poor stability. Therefore, this study proposes a dual-path approach with attention mechanisms (DPACR) to promote the performance of this model architecture in crop classification using time series data. Specifically, the model comprises two branches, the Recurrent neural network (RNN) branch with bidirectional gated recurrent units (GRU) with a self-attention mechanism, and the convolutional neural network (CNN) branch based on SE-ResNet. Crop classification is accomplished by a main classifier, supported by auxiliary classifiers from the two branches. Using the Google Earth Engine and the Sentinel-2 satellite data, DPACR was tested in the Hetao irrigation district in Inner Mongolia, China. The comparison experiment demonstrated that the DPACR achieved the highest overall accuracy (OA = 0.959) and Kappa coefficient (Kappa = 0.941) compared to other five models (MLP, SE-ResNet, Bi-At-GRU, SVM, and RF). DPACR excelled in classifying six crops, maintaining high accuracy across multiple classes. Compared to attention mechanisms, auxiliary classifiers can significantly improve classification performance. This study highlights the effective combination of cloud computing and deep learning for large-scale crop classification, providing a practical method for agricultural monitoring and management.

Estimation of irrigated crop artificial irrigation evapotranspiration in China

Agriculture water use accounts for 70% of the total water withdrawal worldwide. The evapotranspiration during crop growth is one of the important hydrological processes in the agricultural water cycle. This study proposed the concept of artificial irrigation evapotranspiration of irrigated crops to describe that the evapotranspiration caused by irrigation water use. Irrigated crops rely on two kinds of water sources: precipitation and irrigation water. With the construction of irrigation schemes, the artificial irrigation evapotranspiration plays an increasingly important role in the dualistic water cycle system of irrigated cropland. To reveal the amount of artificial irrigation evapotranspiration of 17 categories of irrigated crops in China, this study proposed a new quantitative model system which was established based on traditional evapotranspiration models and soil water balance models. Based on the new model system, we calculated the annual artificial irrigation evapotranspiration of irrigated crops for the period 2013 to 2017 in China. The results showed that the proportion of artificial irrigation evapotranspiration to the total evapotranspiration of irrigated crops was 41.3%, whose value was 228.1 km3 a−1. The artificial irrigation evapotranspiration in different agricultural water management regions were 90.0 km3 a−1 in the northeast region, 86.0 km3 a−1 in the southeast region, and relatively low 52.2 km3a−1 in the west region. The results of this study can provide methods for water management and policy–making in agricultural irrigated areas, and it can also provide a preliminary understanding of the influence of human activities on the dualistic water cycle in cropland.

Tracking and managing the water-food-environment-ecosystem (WFEE) nexus in groundwater irrigation districts using system dynamics modelling

Groundwater irrigation districts, which play a crucial role in the Earth's critical zone, are confronted with numerous challenges, including water scarcity, pollution, and ecological degradation. These issues come from multiple systems and are linked to a groundwater-dominated water-food-environment-ecosystem nexus problem related to agricultural activities (WFEE). There is a pressing need for the scientific characterization and evaluation of the WFEE nexus in groundwater irrigation districts to assure high-quality, sustainable development. Furthermore, it is critical to provide practical and efficient regulations at the farmer level to uphold the health of this nexus. This paper presents a mapping network that focuses on groundwater irrigation districts. The network aims to convert the restriction indicators utilized to maintain the health of the WFEE nexus (at the irrigation district scale) into the targets employed to manage farmers' living and agricultural activities (at the farmer scale). Additionally, a system dynamics model is created to track and manage the interacting relationships between the WFEE nexus and farmers' living and agricultural activities. This proposed model employs a structured parameter system comprising targets, state parameters, regulatory parameters, and evaluation parameters. This system can get insight into the status of the WFEE nexus at the farmer level using state parameters, induce tailored management and regulation measures using regulatory parameters, assess the effectiveness of various measures using the evaluation parameters, and finally provide decision support to enhance the health of the WFEE nexus. The findings from the research conducted in the Yong'an groundwater irrigation district demonstrated that the model accurately described the relationship between the WFEE nexus and farmers' activities in groundwater irrigation districts. Furthermore, the model responded strongly to a variety of improvement strategies, including adjustments in planting area, optimization of planting pattern, improvement of irrigation method, and implementation of agronomic measures. As a result, it provided farmers with decision support for applying agricultural management methods and addressing the WFEE nexus problem in groundwater irrigation areas.