Separate Scenarios Research Articles

Magnetism in the axion insulator candidate Eu5In2Sb6

Eu5In2Sb6 is a member of a family of orthorhombic nonsymmorphic rare-earth intermetallics that combines large localized magnetic moments and itinerant exchange with a low carrier density and perpendicular glide planes. This may result in special topological crystalline (wallpaper fermion) or axion insulating phases. Recent studies of Eu5In2Sb6 single crystals have revealed colossal negative magnetoresistance and multiple magnetic phase transitions. Here, we clarify this ordering process using neutron scattering, resonant elastic x-ray scattering, muon spin-rotation, and magnetometry. The nonsymmorphic and multisite character of Eu5In2Sb6 results in coplanar noncollinear magnetic structures with an Ising-like net magnetization along the a axis. A reordering transition, attributable to competing ferro- and antiferromagnetic couplings, manifests as the onset of a second commensurate Fourier component. In the absence of spatially resolved probes, the experimental evidence for this low-temperature state can be interpreted either as an unusual double-q structure or in a phase separation scenario. The net magnetization produces variable anisotropic hysteretic effects which also couple to charge transport. The implied potential for functional domain physics and topological transport suggests that this structural family may be a promising platform to implement concepts of topological antiferromagnetic spintronics. Published by the American Physical Society 2024

Effects of joint invasion: How co-invaders affect each other's success in model food webs?

While there has been considerable research on the interactions between invasive and native species, and on the impact of invasive species on the resident community, there has been less focus on exploring the relationship and interactions among invasive species themselves. Nevertheless, it is widely recognised that invasive species can have either positive or negative effects on each other, as well as neutral outcomes. In the present theoretical study, we compared the success of two invasive non-native species in two scenarios: when they invaded the resident food web separately and simultaneously. We examined the correlations between their direct and indirect ecological relationships and their topological positions in the food web, with the varying outcomes of joint invasion. Using the Allometric Bioenergetic Model (ABM) for dynamic simulations, we determined the success of invasion (presence or absence of invaders) and, in the case of successful co-invasion, the direction of their biomass change, comparing separate and simultaneous invasion scenarios. We studied the relationships between these variables after detailed numerical simulations with variable key parameters of the model.We found that direct and indirect ecological relationships between the two invaders can significantly modifiy the outcomes of the invasion scenarios. For example, their predator-prey relationship increases the probability of invasion success for both invaders, but at the same time the equilibrium biomass of at least one of them is likely to be reduced compared to its separate invasion. Trophic cascade or competitive relationship between them during simultaneous invasion also affects their success rate, with the former having a positive effect and the latter a negative one, as they can hinder each other's spread. Further, we found that higher trophic level and lower betweenness centralities of the invaders reduces the likelihood of invasion success regardless of the presence or absence of another invasive species. The results of the study can be tested experimentally in micro- and mesocosms.

Thermal analysis of 4-phase 8/6 SRM for EV application

This article provides a comprehensive analysis of the thermal characteristics of a 4-phase 8/6 switching reluctance motor (SRM) designed for use in an e-rickshaw (3-wheeler) application. The determination of core and copper losses is achieved through electromagnetic analysis using Finite Element Analysis (FEA). The analysis is conducted via MOTORCAD, a multiphysics design software. This work includes the examination of both static and transient temperature conditions. Static analysis entails the estimation of losses by taking into account the motor's maximum current and operating the motor under steady-state conditions. Transient analysis involves the examination of two separate scenarios. One possesses a simple transient characteristic, while the other possesses a distinct duty cycle. The losses obtained from the electromagnetic analysis are used as the input for the simple transient thermal analysis. During transient analysis involving the duty cycle, losses are assigned to certain operating conditions, such as changes in the operating speed of the motor. This study employs the Lumped Parameter Thermal Network (LPTN), as well as 3D and 2D FEA techniques to conduct thermal analysis. The findings were compared and subsequently given in the article. The findings produced from the LPTN and 3D FEA approaches demonstrate a strong correlation. The motor's maximum temperature is limited to 180 °C. The findings indicate that the highest temperature, both under static and transient conditions, is below the maximum attainable value.

A new approach for hydrograph data interpolation and outlier removal for vector autoregressive modelling: a case study from the Odra/Oder River

This study presents a new approach for predicting water levels of the Odra/Oder river using vector autoregressive models (VAR). We use water level time series from 27 gauging stations, on which we interpolate no-data gaps using the LinAR method and detect outliers with two separate methods: the extreme values (EV) approach and the isolation forest (IFO) algorithm. Before removing potential outliers, we propose a hydrological evaluation based on multivariate data analysis. Finally, we consider three separate data scenarios, i.e. LinAR (no outlier rejection), EV, and IFO. VAR models for six prediction gauges were built in a moving window manner on the most recent 720 hourly water levels prior to each prediction. The analysis covered the time range from January 2016 to May 2022 and resulted in ≈\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\varvec{\\approx }$$\\end{document} 1,000,000 water level forecasts (3 scenarios x 6 gauges x 55,000 hourly time steps) with lead time of 72 h. The analysis of root mean squared error (RMSE) indicates that the VAR model performs well, especially for 24-hour predictions, with RMSE values ranging from 8 to 28 cm. The model was also found to have skills in predicting a rising limb of a hydrograph. Our numerical experiments showed the susceptibility of the VAR predictions to artefacts. The IFO method was found to detect outliers skilfully, which allowed to produce the most accurate VAR-based predictions.

Comparison of Xpert MTB RIF (G4) With Xpert MTB (Ultra) in Diagnosis of Mycobacterium Tuberculosis in Clinical Samples

Abstract Background: Tuberculosis (TB) continues to be a major cause of morbidity and mortality worldwide. The main strategy to fight the pandemic is the development of rapid, accurate diagnostic tests, which helps to reduce the time for initiation of therapy. In 2010, WHO recommended the use of Xpert Mycobacterium tuberculosis/rifampicin (MTB/RIF) (G4), which is a cartridge-based semi-automated nucleic acid amplification test (NAAT) as a primary test with an aim to improve the detection of MTB. Later on, to improve the diagnostic efficacy, the new and improved cartridges called Xpert Ultra were introduced in 2017. Materials and Methods: One thousand and sixty-nine clinical samples were utilized for the study for microscopy, culture, and NAATs (Xpert MTB/RIF G4 and Ultra). The samples were randomly allocated. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated while assuming trace results as positive and negative in two separate scenarios. Results: The sensitivity of Xpert MTB/RIF Ultra cartridge was higher (100%) than Xpert MTB/RIF G4 cartridge (95.23%) and the specificity of Ultra cartridge was lower (71.79%) when compared to G4 cartridge (91.63%). However, the specificity of Xpert Ultra cartridge improved by reclassifying the “trace” interpretation as negative (89.1%). The NPV was 100% and 99.09% for Xpert Ultra cartridge and the Xpert G4 cartridge, respectively, and did not change by reclassifying the “trace” interpretation as negative. In contrast, the PPV varied greatly between the two tests, 26.66% for Xpert Ultra cartridge and 66.66% for Xpert G4 cartridge. The PPV of Xpert Ultra cartridge was improved to 48.48% by including “trace” samples in the negative pool. Conclusion: Xpert Ultra and G4 shows good performance as a first line diagnostic test. Caution should be exercised when interpreting ‘trace’ results in a country like India without parallel confirmatory tests like microscopy and culture. Data is limited on this newly incorporated value assigned in the automated report. Conducting further studies on results interpreted as ‘trace’ will help in improving the guidelines and as well as utilisation of such tests.

Bundling products and service on influencer channels

This study investigates the optimal service pricing strategies for manufacturers within the burgeoning field of influencer live-streaming marketing. By examining a dynamic where manufacturers collaborate with social media influencers, the research evaluates the efficacy of bundling products and services versus separate pricing under varying conditions. The study uncovers that the gap between the two service pricing models will increase as the service cost increases. Moreover, the lower the service cost, the more obvious the relative advantage of the bundling model. That is, bundling is most beneficial when service costs are low, whereas separate pricing becomes advantageous as service costs escalate. In addition, the decrease in the rate of product defects can lead to an increase in the relative advantage of the bundling model. Intriguingly, the optimal promotional approach for influencers shifts in response to these pricing strategies, favoring a combined product-service promotion when services are priced separately. The study further reveals a direct correlation between product defect rates and profitability, especially under separate pricing scenarios. These insights offer valuable guidance for manufacturers and influencers in strategizing their offerings and promotions in the digital marketplace.

A dynamic model of growth phase of bio-conversion of methane to polyhydroxybutyrate using dynamic flux balance analysis.

Biological conversion of waste methane to biodegradable plastics is a way of reducing their production cost. This study addresses the computational modeling of the growth phase reactor of the process of polyhydroxybutyrate production. The model was used for investigating the effect of gas recycling and inlet gas retention time on the reactor performance. The model was run by the use of a genome-scale metabolic network of Methylocystis hirsuta in a dynamic flux balance analysis framework. The reactor has been modeled for two separate feeding scenarios: a pure methane feed and a biogas feed. The mass transfer coefficient parameter was predicted as a function of superficial gas velocities by the regression of data from published experiments. The results show an increase of removal efficiency by 38% and biomass concentration by 2.8g/L with the increase of gas recycle ratio from 0 to 30 at the empty bed residence time of 60 .

Experimental and numerical investigation of porous bleed control for supersonic/subsonic flows, and shock-wave/boundary-layer interactions

This paper presents a comprehensive experimental and numerical investigation into the control of boundary layers using porous bleed systems. The study focuses on both supersonic and subsonic flow regimes, as well as on the control of shock-wave/boundary-layer interactions. By simplifying this complex problem into two separate scenarios, the research establishes the necessity of individually characterizing bleed systems for both supersonic and subsonic flow regimes due to variations in the flow topology within the bleed holes. In supersonic conditions, a strong agreement between experimental and numerical results validates the effectiveness of porous bleed in controlling boundary layers. Notably, three-dimensional effects are experimentally demonstrated, and variations of the boundary-layer profiles along the span are the first time experimentally proven. The study extends its scope to subsonic flows, revealing that while boundary-layer bleeding enhances flow momentum near the wall, mass removal induces a decrease in momentum in the outer boundary layer and external flow. The research also explores shock-wave/boundary-layer interaction control, achieving a remarkable alignment between simulations and experiments. The findings endorse the use of Reynolds-Averaged Navier-Stokes simulations for studying porous bleed systems in various flow conditions, providing valuable insights to enhance bleed models, especially in the context of shock-wave/boundary-layer interaction control.

Efficient adsorption separation of methane from C2–C3 hydrocarbons in a Co(II)-nodes metal–organic framework

Methane (CH4) as a substitute for other mineral fuels plays a crucial role in reducing energy consumption and preventing environmental pollution. The present study employs a solvothermal method to fabricate a porous framework Co-metal–organic framework (Co-MOF) containing two distinct secondary building units (SBUs): an anionic [Co2(μ2-OH)(COO)4(H2O)] and a neutral [CoN2(COO)2]. Notably, within the anionic SBUs, the coordinated water molecules induce the generation of divergent unsaturated Co(II) centers in the unidirectional porous channels, thereby creating open metal sites. The adsorption performance of Co-MOF towards pure component gases was systematically investigated. The results demonstrated that Co-MOF exhibits superior adsorption capacity for C2–C3 hydrocarbons compared to CH4, which offering the potential for efficient adsorption and separation of CH4 from C2–C3 hydrocarbons. The gas selectivity separation ratios of Co-MOF for C2H6/CH4 and C3H8/CH4 were calculated using the ideal adsorbed solution theory method at 273/298 K and 0.1 MPa. The results revealed that Co-MOF achieved remarkable equilibrium separation selectivity for CH4 and C2–C3 hydrocarbon gases among non-modified MOFs, signifying the potential of the synthesized Co-MOF for efficient recovery and purification of CH4 from C2–C3 hydrocarbons. Breakthrough experiments further demonstrate the ability of Co-MOF to purify methane from C2–C3 hydrocarbons in practical gas separation scenarios. Additionally, molecular simulation calculations further substantiate the propensity of anionic SBUs to interact with C2–C3 hydrocarbon compounds. This study provides a novel paradigm for the development of porous MOF materials in the application of gas mixture separation.

Wastewater generation model to predict impacts of urine separation on wastewater treatment plants.

Wastewater treatment plants (WWTPs) are under increasing pressure to enhance resource efficiency and reduce emissions into water bodies. The separation of urine within the catchment area may be an alternative to mitigate the need for costly expansions of central WWTPs. While previous investigations assumed a spatially uniform implementation of urine separation across the catchment area, the present study focuses on an adapted stochastic wastewater generation model, which allows the simulation of various wastewater streams (e.g., urine) on a household level. This enables the non-uniform separation of urine across a catchment area. The model is part of a holistic modelling framework to determine the influence of targeted urine separation in catchments on the operation and emissions of central WWTPs, which will be briefly introduced. The wastewater generation model is validated through an extensive sampling and measurement series. Results based on observed and simulated wastewater quantity and quality for a catchment area of 366 residents for two dry weather days indicate the suitability of the model for wastewater generation and transport modelling. Based on this, four scenarios for urine separation were defined. The results indicate a potential influence of spatial distribution on the peaks of total nitrogen and total phosphorus.

Impact of urbanism on source separation systems: A life cycle assessment

This study aims to assess the effect of different urban configuration regarding the choice of wastewater management of the district with source separation systems. Understanding this link can guide researchers, and also urban actors, in order to choose the best source separation solution to implement in a specific urban configuration.For this purpose, an integrated modelling approach was used to model the district with different types of urban planning, the water resources recovery facility (WRRF) and create a life cycle inventory to carry out a life cycle assessment (LCA). Six different urban configurations were tested with three different source separation scenarios and compared with an advanced WRRF with high level of nutrients and organic matter recovery.This study concludes that urine source separation is beneficial compared to advanced WWRF for all the urban configurations. Sewer construction was identified as the main contributor to environmental impact for the low-density configuration (pavilions), limiting the benefits of source separation in this urban settlement. Blackwater separation with a decentralised treatment is only beneficial for high densely populated area. Treatment of blackwater and greywater for reuse, has greater impact than reference scenario, in all urban configurations, due to high energy consumption for greywater treatment. Future research should therefore explore technical solutions for limiting the energy consumption.

Welcoming One Another” (Romans 14-15): A Paradigm for Mutual Cooperation Among Christians in Nigeria

Decades of discussions have occurred over whether Romans 14–15 is directed to any particular circumstance in the Roman community, as it contains arguments similar to those found in 1 Corinthians 8-10. Some scholars feel it is a generic admonition, while others say it is a reply to the Roman community's particular predicament. The concept of mutuality fits within the setting of Romans, and the chapters (Rom 14–15) speak of Paul's exhortations from the preceding chapters (Rom.12–13) being applied contextually. In Nigerian churches/Christianity, the scenario of separation and categorization found in the Roman Church exists. Certain Christians have been labeled as "weak" or "strong" as a result of this; ethnicity and other factors are most likely to blame. As a result, the negative effects exceeded the favorable effects among Christians over the last few decades. This paper examines Paul’s style for eliciting mutual collaboration (brother/sister metaphor), arguing that if Christians read, comprehend, and embrace Paul's call to welcome one another in Romans 14 –15, the walls of division will fall and mutual cooperation will ensue.

Sensing characteristics and EPIR Studies on composite manganites: Role of nanoparticles in the micronsized matrix lattice

In the present communication, the electrical transport properties have been investigated for manganite-based composites consisting of different weight fractions of nanoparticles of LaMnO3 (LMO) and polycrystalline La0.7Ca0.3MnO3 (LCMO). A complex phase separation scenario has been proposed to understand the hysteretic resistive nature exhibited by manganite matrix composites. The role of complex phase separation has been discussed for the manganite composite resistivity and temperature coefficient of resistance (TCR) dependence on temperature, thermal cycle, current and LMO content as well as their sensitivity for voltage and current have also been examined. Observed electric pulse-induced resistance (EPIR) switching in these composites under different applied voltages and magnetic fields have been understood based on a complex phase separation scenario and the formation–rupture of conducting filamentary paths. Tuning of magnetic field-dependent resistance and magnetoresistance (MR) with the influence of different resistance states of LMO–LCMO composites has been understood in depth.

Parallel Processing Distributed-Memory Approach Influences on Performance of Multicomputer-Multicore Systems Using Single-Process Single-Thread

Based on client/server architecture concepts, this research suggests a method for creating a multicomputer-multicore distributed memory system that can be implemented on distributed-shared memory systems. Both of number of the participated computers and number of existed processors for each of these computers, this research was depended with the specific design and its implementation. The suggested system has two primary phases: monitoring and managing the programmes that may be executed on multiple distributed-multi-core architectures with (2, 4, and 8) CPUs to perform a certain job. There might be a single client and unlimited servers in the network. The implementation phase relies on three separate scenarios covering most of the design space. The suggested system can determine the start time, duration, CPU use, kernel time, user time, waiting time, and end time for each server in the system. Single-Process Single-Thread (SPST) is considered a possible situation while developing User Programmes (UPs). The findings confirmed that more processing power (more servers and more processors on each server) increases the speed at which tasks can be solved. There was a 2.877-fold gain in task processing speed after considering three different possible SPST UPs situations. The C# programming language is used to create this system.

Utilization of time-driven activity-based costing and process simulation in cost management of organization

The deployment of information and communication technologies in organizations is on the rise. Many organizations consider the application of technologies to be a crucial key to improve their processes. However, traditional costing systems are not suitable for cost estimation of business processes due to the use of volume-based cost drivers, which are often not adequate for the structure of today’s organizations. In this research, we present an overview of how the TDABC (time-driven activity-based costing) model can be combined with process mining and business process simulation for cost estimation of such processes. The objective of this paper is to use the cost dimension as a major attribute for the potential implementation of robotic process automation (RPA) in companies. However, information and communication technologies could be considered in general. We demonstrate our approach in a case study that takes advantage of a real-life event log containing transactional data representing the loan application process in an insurance company. The event log is analyzed and processed using process mining techniques. Based on the preprocessing, a simulation model representing the original loan application process is designed. The designed simulation model is then used for simulation of partial and full implementation of RPA through separate scenarios. Then, we add the cost dimension to the simulation by enriching the event log with cost data based on a formalized cost model. We show that even though partial implementation of RPA might not deliver significant increase in efficiency in the process, it might still represent significant cost savings.

Cost-effectiveness of 20-valent pneumococcal conjugate vaccine in US infants

BackgroundAs of June 2023, two pneumococcal conjugate vaccines, 20- (PCV20) and 15- (PCV15) valent formulations, are recommended for US infants under a 3 + 1 schedule. This study evaluated the health and economic impact of vaccinating US infants with a new expanded valency PCV20 formulation. MethodsA population-based, multi cohort, decision-analytic Markov model was developed to estimate the public health impact and cost-effectiveness of PCV20 from both societal and healthcare system perspectives over 10 years. Epidemiological data were based on published studies and unpublished Active Bacterial Core Surveillance System (ABCs) data. Vaccine effectiveness was based on PCV13 effectiveness and PCV7 efficacy studies. Indirect impact was based on observational studies. Costs and disutilities were based on published data. PCV20 was compared to both PCV13 and PCV15 in separate scenarios. ResultsReplacing PCV13 with PCV20 in infants has the potential to avert over 55,000 invasive pneumococcal disease (IPD) cases, 2.5 million pneumonia cases, 5.4 million otitis media (OM) cases, and 19,000 deaths across all ages over a 10-year time horizon, corresponding to net gains of 515,000 life years and 271,000 QALYs. Acquisition costs of PCV20 were offset by monetary savings from averted cases resulting in net savings of $20.6 billion. The same trend was observed when comparing PCV20 versus PCV15, with a net gain of 146,000 QALYs and $9.9 billion in net savings. A large proportion of the avoided costs and cases were attributable to indirect effects in unvaccinated adults and elderly. From a health-care perspective, PCV20 was also the dominant strategy compared to both PCV13 and PCV15. ConclusionsInfant vaccination with PCV20 is estimated to further reduce pneumococcal disease and associated healthcare system and societal costs compared to both PCV13 and PCV15.

Fostering Proficiency in Essential Skills among Emergency Medicine Residents through Simulation-Based Education

Introduction: Simulation-based education has become a crucial element within emergency medicine (EM) residency programs. Medical education places great emphasis on competency-based assessments, and high-fidelity simulation has emerged as an effective methodology to support these assessments. Objective: The Accreditation Council for Graduate Medical Education (ACGME) defines a set of core competencies that healthcare professionals must acquire to ensure the delivery of safe and effective patient care. In our study, we sought to investigate the impact of simulation-based education on the enhancement of ACGME core competencies among emergency medicine residents. Method: We conducted a prospective observational study at our institute, involving all current EM residents. Each month, we conducted a high-fidelity immersive simulation session, featuring three separate scenarios for both first year (R1) and second year (R2) residents. From August 2020 to April 2023, a total of 36 simulation sessions were conducted, encompassing 108 scenarios. To assess performance in clinical and non-technical skills, the expert faculty used our custom-designed objective structured assessment tool, the Emergency Medicine Simulation Assessment Tool (EMSAT). This tool evaluated performance across 15 sub-tasks (9 (60%) clinical and 6 (40%) non-technical skills). Each sub-task was mapped to the ACGME core competency; Patient Care (PC), Medical Knowledge (MK), Practice Based Learning (PBL), Systems Based Practice (SBP), Interpersonal and Communication Skills (ICS), and Professionalism (P). The achieved scores for each competency were converted into percentages for analysis. The data was divided into two groups. The first 18 sessions (54 scenarios) formed phase-I, while the last 18 sessions (54 scenarios) constituted phase-II. A two-tailed paired T-test was utilized to compare the two phases. Our primary outcome measure focused on the improvement observed across all six ACGME core competencies. Results: The paired T-test results revealed a significant and substantial difference in all six core competencies between phase-I and phase-II. The mean scores demonstrated a significant improvement between two phases i.e., PC (M=55.1, M=84.4), MK (M=57.2, M=83.6), PBL (M=60.5, M=88.4), SBP (M=62.2, M=89.7), ICS (M=61.8, M=89.7), and P (M=64, M=89.9). Conclusion: The implementation of high-fidelity immersive simulations in the training of emergency medicine residents yielded remarkable advancements across all six ACGME core competencies.

Effect of Rastall parameter on wormhole spacetime

In this paper, we investigate wormhole geometries within Rastall gravity. The field equations have been solved by assuming that spacetime admits conformal killing vectors. By assuming two separate scenarios, namely anisotropic and isotropic EoS, we are able to find the wormhole solutions. We note that the shape function for both the isotropic and anisotropic cases fails to meet the asymptotic flatness conditions, but both the solutions obey the flaring-out condition. The TOV equation has been used to verify the stability of wormhole solutions. Additionally, we discover that for the anisotropic case, the null energy condition is violated which is graphically analyzed and proves the presence of exotic matter. Finally, we use the volume integral quantifier to determine how much exotic matter is needed near the wormhole throat in the anisotropic scenario.

Bioseparation of rare earth elements and high value-added biomaterials applications

Rare earth elements (REEs) are a group of critical minerals and extensively employed in new material manufacturing. However, separation of lanthanides is difficult because of their similar chemical natures. Current lanthanide leaching and separation methods require hazardous compounds, resulting in severe environmental concerns. Bioprocessing of lanthanides offers an emerging class of tools for REE separation due to mild leaching conditions and highly selective separation scenarios. In the course of biopreparation, engineered microbes not only dissolve REEs from ores but also allow for selective separation of the lanthanides. In this review, we present an overview of recent advances in microbes and proteins used for the biomanufacturing of lanthanides and discuss high value-added applications of REE-derived biomaterials. We begin by introducing the fundamental interactions between natural microbes and REEs. Then we discuss the rational design of chassis microbes for bioleaching and biosorption. We also highlight the investigations on REE binding proteins and their applications in the synthesis of high value-added biomaterials. Finally, future opportunities and challenges for the development of next generation lanthanide-binding biological systems are discussed.

An ultra-thin nickel electrodeposited stainless steel mesh with superhydrophobic property and high mechanical durability for oil-water separation

Oil pollution has a detrimental impact on our water environment. Therefore, developing a durable and high-flux material for separating oil-water mixture is highly desirable. In this study, we present an innovative approach to prepare superhydrophobic-superoleophilic nickel palmitate stainless steel meshes (SNP-SSM) using a one-step electrodeposition method. This method not only creates rough hierarchical micro/nanostructures on the SSM but also reduces the surface free energy of the SSM. The SNP-SSM demonstrates a water contact angle (CA) of 164.98 ± 2.3° and a roll-off angle (ROA) of 4.78 ± 1.3°, enabling effective, long-term separation of oil-water mixtures by gravity. The oil-water separation efficiency (n-hexadecane/water) reaches 98.3%. Furthermore, in various tests, including knife scratching, tape peeling, sandpaper abrasion, bending, heating, and immersion in various liquids, the SNP-SSM exhibits sufficient mechanical, chemical, and thermodynamic robustness, making it suitable for harsh conditions, the as-prepared coatings effectively inhibited the corrosion of the meshes. This study paves the way for advancing technology in challenging oil-water separation scenarios, encompassing mechanical friction, chemical processes, and high-temperature conditions.