Reasonable Strategy Research Articles

Fuzzy evaluation and obstacle factors of urban ecological health changes in the Wei River Basin, northwest China

BackgroundUrban ecological health is crucial for the long-term sustainable development of watershed. Accurately evaluating the health level of the ecological environment helps to develop reasonable strategies for ecological environment restoration and resource management. This paper constructed a comprehensive evaluation index system based on the Pressure-State-Response (PSR) framework and evaluated the ecological health of eleven administrative regions in the Wei River Basin (WRB), northwest China in 1980, 2000, and 2020 using an evaluation model established by fuzzy mathematics. Further, obstacle degrees were used to quantify the contribution of pressure, state, and response modules, as well as individual indicators to ecological health.ResultsThe comprehensive evaluation system constructed based on the PSR framework could effectively reflect the ecological health conditions of different regions in the WRB. During the study period, the ecological health went through a process of first deterioration and then improvement. By 2020, the ecological health of seven administrative regions reached healthy levels. The state module was the main obstacle module of the PSR framework to the ecological health of the most regions. The population density (P1), patch density of construction land (S5), comprehensive elasticity index (S8), soil erosion index (R1), and per capital GDP (R3) were the most crucial individual indicators affecting the ecological health. For different cities, the main obstacle factors varied. In economically developed cities, the limiting effect of P1 was more significant, while in economically underdeveloped cities, the limiting effect of R3 was stronger.ConclusionsIn response to the special natural environment and socio-economic conditions of arid and semi-arid areas in the WRB, an ecological health evaluation index system suitable for the characteristics of the basin was constructed. The results indicated that, to improve the levels of urban ecological health, it is necessary to restore the natural ecological environment and control population size while accelerating economic construction. Our results can provide scientific support for the ecological health evaluation and protection of the WRB and even the arid and semi-arid areas in northwest China.

Soil methane emissions from plain poplar (Populus spp.) plantations with contrasting soil textures

The forest soil methane (CH4) flux exhibits high spatiotemporal variability. Understanding these variations and their driving factors is crucial for accurately assessing the forest CH4 budget. In this study, we monitored the diurnal and seasonal variations in soil CH4 fluxes in two poplar (Populus spp.) plantations (Sihong and Dongtai) with different soil textures using the static chamber-based method. The results showed that the annual average soil CH4 flux in the Sihong and Dongtai poplar plantations was 4.27 ± 1.37 kg CH4-C ha–1 yr–1 and 1.92 ± 1.07 kg CH4-C ha–1 yr–1, respectively. Both plantations exhibited net CH4 emissions during the growing season, with only weak CH4 absorption (–0.01 to –0.007 mg m–2 h–1) during the non-growing season. Notably, there was a significant difference in soil CH4 flux between the clay loam of the Sihong poplar plantation and the sandy loam of the Dongtai poplar plantation. From August to December 2019 and from July to August and November 2020, the soil CH4 flux in the Sihong poplar plantation was significantly higher than in the Dongtai poplar plantation. Moreover, the soil CH4 flux significantly increased with rising soil temperature and soil water content. Diurnally, the soil CH4 flux followed a unimodal variation pattern at different growing stages of poplars, with peaks occurring at noon and in the afternoon. However, the soil CH4 flux did not exhibit a consistent seasonal pattern across different years, likely due to substantial variations in precipitation and soil water content. Overall, our study emphasizes the need for a comprehensive understanding of the spatiotemporal variations in forest soil CH4 flux with different soil textures. This understanding is vital for developing reasonable forest management strategies and reducing uncertainties in the global CH4 budget.

Post-disaster repair optimization method for traction power supply system of electrified railways based on train operation loss

The traction power supply system (TPSS) is the critical facility that provides power to electrified railways. However, TPSS is highly susceptible to extreme events. Therefore, it is essential to develop reasonable post-disaster repair strategies to mitigate losses. In this context, this paper proposes a post-disaster repair optimization method for TPSS based on train operation loss. The hazard characterization and equipment fragility analysis are introduced to simulate post-disaster fault scenarios of TPSSs. By analyzing the changes in component states during the repair process, the component state transition model based on the multi-stage decision process is established and the state transition relationship is derived. According to the component state and TPSS topology, the model for evaluating the power supply state of the traction network is constructed. On this basis, the indicator of train operation loss is defined, which is used as the objective to formulate the post-disaster repair optimization model of TPSSs. The case study using real-world high-speed railway data demonstrates that, compared to traditional repair strategies, the proposed method effectively reduces the restoration time of TPSS and significantly decreases train operation loss. This method can provide maintenance personnel with theoretical bases for formulating post-disaster repair strategies.

Pediatric nurses' experiences of implementing the ‘ten right principles’ in safe medication management: A descriptive phenomenological study

PurposeIn medication management, the ten right principles framework is an accepted global nursing standard and an important component of medication safety. Especially pediatric patients have a higher risk of harm in medication administration compared to adults. This study aimed to examine the experiences of pediatric nurses in implementing the ten right principles in safe medication management. Design and methodsA descriptive phenomenological approach was used in this study. The study was conducted with 16 pediatric nurses in a public hospital's Pediatric Service and Neonatal Intensive Care Unit. Pediatric nurses' medication practices were observed, and semi-structured interviews were conducted with the nurses after the observation. Observations were conducted using an observation tool, and interviews were conducted using a semi-structured interview form. Qualitative data were analyzed using thematic analysis. ResultsIn this study, it was observed that although pediatric nurses generally adhered to the ten right principles, they had the most difficulties with the right dose and time principles. As a result of the interviews conducted after the observation, two themes (factors facilitating the implementation of the ten right principles and difficulties in implementing the ten right principles) were formed. ConclusionsThe findings revealed that pediatric nurses achieved safe and effective medication administration and generally adhered to the ten right principles. Practice implicationsThis study highlights the positive contribution of pediatric nurses to patient safety by using multiple sources of information and clinical reasoning strategies despite the difficulties they experience in drug administration.

The Impact of Capital Structure Adjustment in Cross-Border Mergers and Acquisitions on the Operating Performance of Chinese Listed Companies: Empirical Study Based on Ridge Regression

This research uses a sample of 44 Chinese listed companies that announced and completed cross-border mergers and acquisitions (M&A) in 2017 and builds a ridge regression model using indicators such as return on equity, asset-liability ratio and equity multiplier from 2016 to 2022 to explore the sustained impact of capital structure adjustments on their operating performance. We found that the adjustment of capital structure after cross-border M&A presents an N shaped relationship with operating performance. This indicates that debt financing in cross-border M&A activities can enhance financial leverage and profitability in the short term but may lead to a decline in performance in the medium term due to financial pressure and integration issues. In the long term, as integration completes and debt is gradually repaid, performance is expected to recover and improve. Additionally, we offer suggestions for companies planning to undertake cross-border M&A, advising careful management of liquidity and economies of scale, optimization of debt financing strategies and ensuring the stability of performance from a long-term perspective. This research not only fills the gap in the existing literature on the impact of capital structure adjustments on operating performance in cross-border M&A but also provides empirical evidence for companies to formulate scientifically reasonable cross-border merger and acquisition strategies.

An integrated framework for improving green agricultural production sustainability in human-natural systems

Water scarcity, land pollution, and global warming are serious challenges and crises facing the development of sustainable or green agriculture and need to be addressed using efficient and environmentally friendly management strategies. This paper proposed an integrated framework appropriate for agricultural green total factor productivity (AGTFP) assessment coupled with microscopic and mesoscopic perspectives under water-energy-food (WEF) nexus, which generated scientific and reasonable strategies for green and low-carbon agriculture from internal core factors and peripheral environmental impacts to improve green agricultural production sustainability. Taking the Lianshui irrigation district (LID) with three sub-areas as the object, internal core factors were explored by partial least squares regression (PLSR) and the external impact path through partial least squares structural equation modeling (PLS-SEM). Results indicated that AGTFP in LID was the smallest (0.818) compared to the three sub-areas and was in a fluctuating state. Meanwhile, AGTFP which was calculated considering undesirable outputs, was closer to tangible productivity. Resource endowments and technical facilities will promote agricultural production, desirable outputs will stimulate green production, and undesirable outputs can inhibit green production. The external influence pathway was shown to be primary environment - > secondary environment - > economic aspects - > social aspects - > AGTFP. The innovative perspectives presented in this study can facilitate preferable decisions and avoid unintended consequences for human-natural systems.

Portrayal of Autism in Film and Television: Discrepancies with Real Life and Their Impact

Movies and television, with their influential power, shape societal perceptions of individuals with autism, a multifaceted neurodevelopmental disorder. This study examines how the media portrays autism spectrum disorder (ASD), using the TV show "The Good Doctor" as a case study. Through a comparison between the show's portrayal and actual experiences, the research identifies both correct and potentially misinterpreted representations. It highlights how the media shapes how the general public views people with ASD and advocates for a reasonable strategy that takes into account the condition's complexity. The study notes potential preconceptions regarding genius talents while highlighting sections where the show accurately depicts social obstacles. In an effort to debunk misunderstandings and lessen stigma, it promotes responsible storytelling as a means of fostering compassion, understanding, and awareness of autism. For a more thorough understanding of the impact of media on perceptions of ASD, empirical data should be incorporated into future research.

Strategic Judicial Empowerment

Abstract When courts seek to strengthen their own institutional power, they often need to be strategic. In many fraught political contexts, judiciaries lack a history of asserting authority against powerful political actors. How can courts with fragile authority establish and enhance judicial power? This Article explores the phenomenon of strategic judicial empowerment, offering an account of how and when courts deploy various strategies aimed at enhancing their institutional position vis-à-vis other branches of government. Drawing on examples from apex courts in Pakistan, Malawi, Malaysia, and the United Kingdom, it explores the ways in which judges use tools of statecraft to increase the effectiveness of their decisions and enhance their role in the constitutional order. The Article explores the particular strategies that courts might employ in service of self-empowerment: first, a strategy of maxi-minimalism features Marbury-style maximalist reasoning that expands judicial power while issuing a narrow ruling to avoid political backlash; second, an inverse strategy of mini-maximalism involves formalistic, orthodox doctrine that downplays the expansion of judicial power, even as a court delivers a decision of immediate consequence; third, a strategy of coalition-building that aids a judiciary in seeking allies in other institutional stakeholders; fourth, a rhetorical strategy that courts may use to craft a constitutional narrative of popular salience; and, fifth, a unanimous, single-voice decision that provides the optics of a unified judicial front. This Article also considers the conditions that tend to give rise to instances of judicial self-empowerment. Courts in diverse contexts tend to assert themselves, for example, when their own institutional turf is threatened, during moments of political or constitutional crisis, when judges can capitalize on popular support for the outcome of a ruling, and under an influential judicial leader mindful of establishing a legacy.

Responsive Organic Fluorescent Aggregates Based on Ion‐π Interactions Away from Fluorescent Conjugated Groups

AbstractResponsive organic luminescent aggregates have a wide range of application fields, but currently there is still a lack of reasonable molecular design strategies. Introducing ion‐π interactions into molecules can effectively alter their luminescent properties. However, current research typically focuses on ion localization at luminescent conjugated groups with the strong interaction forces. In this work, we introduce the flexible alkoxy chain spacers between fluorescent conjugated groups and ion‐π interaction sites, and then adjust the fluorescence performance of the molecule by changing the strength of ion‐π interactions. Bromine ion‐based molecules with strong ion‐π interactions exhibit high and stable fluorescence quantum yields in crystals and amorphous powders under the external stimuli. Hexafluorophosphate ion‐based molecules with weak ion‐π interactions have the high fluorescence quantum yield in crystals and very low fluorescence quantum yield in amorphous powders, showing variable fluorescence intensities under external stimuli. This demonstrates a new class of responsive organic luminescent solid‐state materials.

Responsive Organic Fluorescent Aggregates Based on Ion-π Interactions Away from Fluorescent Conjugated Groups.

Responsive organic luminescent aggregates have a wide range of application fields, but currently there is still a lack of reasonable molecular design strategies. Introducing ion-π interactions into molecules can effectively alter their luminescent properties. However, current research typically focuses on ion localization at luminescent conjugated groups with the strong interaction forces. In this work, we introduce the flexible alkoxy chain spacers between fluorescent conjugated groups and ion-π interaction sites, and then adjust the fluorescence performance of the molecule by changing the strength of ion-π interactions. Bromine ion-based molecules with strong ion-π interactions exhibit high and stable fluorescence quantum yields in crystals and amorphous powders under the external stimuli. Hexafluorophosphate ion-based molecules with weak ion-π interactions have the high fluorescence quantum yield in crystals and very low fluorescence quantum yield in amorphous powders, showing variable fluorescence intensities under external stimuli. This demonstrates a new class of responsive organic luminescent solid-state materials.

Adaptive dynamic fire danger evaluation of logistics warehouses with fusion of evidential reasoning and smart optimization

Considering the background that the current fire risk assessment methods often rely on subjective assessments based on professional knowledge and experience, they are usually limited to the special fire scene. Given the lack of effective tools for assessing fire risks in logistics warehouses across varying scenes, this paper aims to propose a multi-source data-driven, adaptive dynamic fire danger evaluation method. The method is established based on the fusion strategy of evidential reasoning and artificial fish swarm algorithm. According to the method, rules of danger evaluation levels related to each attribute of fire factors can be generated automatically without necessary of professional knowledges and experiences. The lightweight multi-source data at this moment can be fused to evaluate current fire danger level directly, which does not require training on extensive datasets in advance. Finally, multi-source data including temperature and CO concentration in two fire scenes of one logistics warehouse at different times are utilized to support the ability of the method. The results show that the estimated fire source location according to the center of domain with the evaluated highest danger level matches well with the real fire source location. In conclusion, the main contribution of the research is that the reasonable dynamic danger level of the logistics warehouse fire with time variation can be evaluated automatically. The method has an excellent generality, which is not limited to the specific fire scene. The danger zone of the logistics warehouse under sudden fires can be determined adaptively, which can support the fire prevention and fire safety countermeasures of logistics warehouses.

Optimization of ecological network function and structure by coupling spatial operators and biomimetic intelligent algorithm

Ecological networks (ENs) can maintain regional ecological security and reconcile the contradiction between development and conservation. Optimization of ENs is crucial for promoting sustainable development and human well-being. Although various valuable methods have been explored to optimize ENs, collaborative optimization research on the EN function and structure through a quantitative simulation at the patch level is yet to be conducted. This study integrated spatial function and structural operators into a multi-type ant colony optimization model and constructed a high-performance land-use conversion framework for EN optimization. Results showed that: (1) the optimized ecological source exhibits heightened functionality and improved connectivity, resulting in a more stable and rational network structure; (2) the proposed ecological nodes emergence mechanism prevents fragmentation of local ENs and improves the overall structural integrity and resilience; and (3) the introduction of graphics processing unit (GPU) parallelization improves the efficiency of the model at city level by 13.49 times, resolving the paradox between the computational efficiency of high-precision land-use simulation and the construction of large-scale ENs. This study provides methodological support for patch-level landscape planning and reference for formulating reasonable ecological restoration strategies.

Small translocations of endangered Gallinula galeata sandvicensis (Hawaiian Common Gallinule) may be sufficient to generate a viable reintroduced population

Abstract Where stable source populations of at-risk species exist, translocation may be a reasonable strategy for re-establishing extirpated populations. However, the success rates of such efforts are mixed, necessitating thorough preliminary investigation. Stochastic population modeling can be a useful method of assessing the potential success of translocations. Here, we report on the results of modeling translocation success for the Gallinula galeata sandvicensis or ‘alae ‘ula (Hawaiian Common Gallinule), an endangered waterbird endemic to the Hawaiian Islands. Using updated vital rates, we constructed a model simulating 3 existing extant (wild) source populations and a hypothetical recipient site on another island. We then projected the effects of 6 different translocation scenarios and sensitivity of the results to variation of three important demographic parameters on the probability of extinction (PE) of the reintroduced and donor populations. Larger translocations, of at least 30 birds, had low probability of extinction in the reintroduced population, but raised extinction risk of the smallest source population. Spacing out translocations in time (e.g., 10 birds translocated in total in 3 installments over 9 years), led to lower PE than translocating all individuals at once (i.e., bulk translocations) for both the source and reintroduced populations. Brood size and hatch-year juvenile survival had a disproportionate impact on reintroduced population viability. Importantly, the reported juvenile survival rate is very near the threshold for population failure. This suggests that post-introduction and subsequent management of wetlands, particularly predator control, could be critical to reintroduction success. We recommend that individuals should be translocated from multiple, genetically distinct subpopulations to reduce the possibility of inbreeding depression. Based on this analysis, the recipient wetland should be sufficiently large that it can support at least 25 pairs of gallinules. Based on recent estimates of population densities on O‘ahu, such a wetland would need to be between 3.75 and 74.6 ha.

Location and Distribution Decision of Emergency Logistics Network under Uncertain Demand Distributions

To ensure the supply of materials after urgent events, including recent public health crisis, it is crucial to formulate a reasonable preventive strategy for the location and distribution of emergency materials within the logistics network. In this paper, a class of multi-category emergency material storage distribution models under scenarios with uncertain post-event demand distribution is studied. Based on historical small-sample post-event demand information, the model constructs a two-stage material storage and scheduling distributionally robust optimization model. By applying a dual method, the non-linear distributionally robust optimization is transformed into linear optimization, and an improved Lagrangian L-shaped algorithm is designed to solve the two-stage model. Finally, the robustness of the model and algorithm is verified by implementing the method to a numerical example, and the sensitivity of the location and distribution decisions to material shortage under different levels of urgent events is analyzed.

Collaborative trajectory planning and transmit resource scheduling for multiple target tracking in distributed radar network system with GTAR

A reasonable resource management strategy can maximize the sensing performance of radar network system via adaptively controlling the working parameters of interest. In this paper, a collaborative trajectory planning and transmit resource scheduling (CTPTRS) strategy for multiple target tracking (MTT) in distributed radar network system with ground-based transmitters and airborne receivers (GTAR) is proposed. Firstly, the CTPTRS for the distributed radar network with GTAR (DRN-GTAR) is formulated as a non-convex optimization problem. To be more precise, the transmit power with the bandwidth of each transmitter and the trajectory of each airborne front-receiver are controlled jointly and adaptively to maximize the MTT performance. Secondly, to tackle the non-convex optimization problem, an efficient two-stage solution technique integrated with the semi-definite programming (SDP), the Latin hypercube sampling-based stochastic simulation (LHS) and the improved particle swarm optimization-tabu search (IPSOTS) is proposed. Finally, simulation results demonstrate the effectiveness of the proposed CTPTRS strategy. Furthermore, in terms of the MTT performance, the proposed strategy owns superior performance compared with six other existing baseline strategies.

Effectiveness of combined virtual and clinical simulation compared with other active teaching strategies on health students' learning: a systematic review protocol.

The objective of this review is to synthesize the available evidence on the effectiveness of combined virtual and clinical simulation compared with other active teaching strategies on health students' learning. Current evidence indicates that both virtual simulation and clinical simulation are effective in assisting students to acquire clinical skills. However, there is a knowledge gap regarding the effectiveness of the combined use of both teaching strategies, which could enhance health students' learning. This review will consider experimental, quasi-experimental, and observational studies that address the combined use of virtual simulation with clinical simulation compared with other active teaching strategies in learning, clinical reasoning, clinical decision-making, and/or clinical competencies of health students. Combining different hybrid simulators to form a new one will not be considered for inclusion in the review. The databases to be searched will include Cochrane Library, MEDLINE (PubMed), CINAHL (EBSCOhost), Scopus, LILACS (VHL), Web of Science Core Collection, Embase, ERIC, and gray literature sources. Two independent reviewers will perform the study selection, critical appraisal, and data extraction using JBI tools. A narrative synthesis will be performed and, if possible, meta-analysis and risk assessment of publication bias. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach will be used to assess the certainty of the findings. PROSPERO CRD42023422410.

Entropy Weight Method Based Assessment of Mental Health in Middle School Students

With the progress of education and social development, mental health issues among middle school students are increasingly gaining attention. This study employs the entropy weight method to assess the mental health of middle school students, establishing a mental health capability index system and quantifying relevant data. Case data analysis reveals that social activities and parental relationships have the greatest impact on students' mental health, while study time, academic burden, and school atmosphere have relatively smaller effects. The research helps understand the mental health status of students and provides a basis for formulating reasonable educational strategies, thus promoting the comprehensive development of students.

Stackelberg game based optimal water allocation from the perspective of energy-water nexus: A case study of Minjiang River, China

Energy and water are interdependent. Water is essential for energy production, and energy is indispensable for water processes. This paper develops a Stackelberg game based bi-level multi-objective model for optimal water allocation under uncertainties from an energy-water nexus perspective, which considers energy-related water consumption and water-related energy production. It handles the hierarchical decision-making problem between the river basin authority and the subareas, as well as the tradeoffs between social equality and ecological damage. The upper level of the model makes schemes on water allocation for multiple subareas, and the lower level decides on water allocation for different types of power generation. To generate reasonable and practical strategies for water allocation, ɛ-constraint method and KKT conditions are used. A case study of Minjiang River, China is given to demonstrate the applicability and practicality. Scenarios analysis is also conducted to demonstrate the effectiveness of the model and the effects of the control parameter changes. The results indicate that the river basin authority would allocate larger water resources to the subareas with higher energy demand. It is concluded that the proposed allocation method is advantageous to the subareas with higher water utilization efficiency. The proposed bi-level model demonstrates its reasonableness and superiority to the single-level model. Policy implications are finally provided to support the sustainable development of energy-water nexus.

Recent advances of molecular imprinting technology for the separation and recognition of complex biological sample systems

Given continuous improvements in industrial production and living standards, the analysis and detection of complex biological sample systems has become increasingly important. Common complex biological samples include blood, serum, saliva, and urine. At present, the main methods used to separate and recognize target analytes in complex biological systems are electrophoresis, spectroscopy, and chromatography. However, because biological samples consist of complex components, they suffer from the matrix effect, which seriously affects the accuracy, sensitivity, and reliability of the selected separation analysis technique. In addition to the matrix effect, the detection of trace components is challenging because the content of the analyte in the sample is usually very low. Moreover, reasonable strategies for sample enrichment and signal amplification for easy analysis are lacking. In response to the various issues described above, researchers have focused their attention on immuno-affinity technology with the aim of achieving efficient sample separation based on the specific recognition effect between antigens and antibodies. Following a long period of development, this technology is now widely used in fields such as disease diagnosis, bioimaging, food testing, and recombinant protein purification. Common immuno-affinity technologies include solid-phase extraction (SPE) magnetic beads, affinity chromatography columns, and enzyme linked immunosorbent assay (ELISA) kits. Immuno-affinity techniques can successfully reduce or eliminate the matrix effect; however, their applications are limited by a number of disadvantages, such as high costs, tedious fabrication procedures, harsh operating conditions, and ligand leakage. Thus, developing an effective and reliable method that can address the matrix effect remains a challenging endeavor. Similar to the interactions between antigens and antibodies as well as enzymes and substrates, biomimetic molecularly imprinted polymers (MIPs) exhibit high specificity and affinity. Furthermore, compared with many other biomacromolecules such as antigens and aptamers, MIPs demonstrate higher stability, lower cost, and easier fabrication strategies, all of which are advantageous to their application. Therefore, molecular imprinting technology (MIT) is frequently used in SPE, chromatographic separation, and many other fields. With the development of MIT, researchers have engineered different types of imprinting strategies that can specifically extract the target analyte in complex biological samples while simultaneously avoiding the matrix effect. Some traditional separation technologies based on MIP technology have also been studied in depth; the most common of these technologies include stationary phases used for chromatography and adsorbents for SPE. Analytical methods that combine MIT with highly sensitive detection technologies have received wide interest in fields such as disease diagnosis and bioimaging. In this review, we highlight the new MIP strategies developed in recent years, and describe the applications of MIT-based separation analysis methods in fields including chromatographic separation, SPE, diagnosis, bioimaging, and proteomics. The drawbacks of these techniques as well as their future development prospects are also discussed.

Screening for Bacterial Vaginosis Prior to Delivery: A Cost-Effectiveness Study.

The objective of this study was to compare the cost and effectiveness of three strategies for screening and/or treating bacterial vaginosis (BV) during pregnancy prior to delivery: (1) the current standard of care was neither test nor treat for BV (Treat None); (2) test all patients for BV at 36 weeks' gestation; treat if positive (Test Treat); and (3) treat all patients undergoing cesarean delivery with intravenous metronidazole at time of surgery (Treat All Cesarean). Effectiveness was defined as avoidance of postpartum surgical site infection (SSI). A decision analytic cost-effectiveness model was designed from a third-party payer perspective using clinical and cost estimates obtained from the literature, American College of Surgeons National Surgical Quality Improvement Program participant use file (2005-2019), 2019 National Vital Statistics, Medicare costs, and wholesale drug costs. Cost estimates were inflated to 2020 U.S. dollars. For this study, effectiveness was defined as avoidance of postpartum SSIs. The base case analysis that is the current standard of care of not routinely testing and treating patients for BV (Treat None) was the most expensive and least effective strategy, with a mean cost of $59.16 and infection rate of 3.71%. Empirically treating all patients for BV without testing (Treat All Cesarean) was the most effective and the least expensive strategy, with a mean cost of $53.50 and an infection rate of 2.75%. Testing all patients for BV and treating those positive for BV (Test Treat) was also relatively inexpensive and effective, with an infection rate of 2.94% and mean cost of $57.05. Compared with Treat None, we would expect the Treat All Cesarean strategy to reduce the infection rate by 26%. These findings suggest that treating pregnant patients with intravenous metronidazole at time of cesarean delivery could be an effective and cost-saving strategy. Testing and treating for BV could also be considered a reasonable strategy, as it has the added benefit of preserving antibiotic stewardship. In no analysis was the standard of care strategy of neither testing nor treating for BV before delivery the preferred strategy. · BV colonization may increase surgical site infection risk after cesarean section.. · Treatment of BV before or during delivery may be cost-saving strategies as treatment could prevent costs associated with infection.. · Further study is needed to best balance the risk of surgical site infection with antibiotic stewardship..