Systematic Improvement Research Articles

Reduced density matrices/static correlation functions of Richardson-Gaudin states without rapidities.

Seniority-zero geminal wavefunctions are known to capture bond-breaking correlation. Among this class of wavefunctions, Richardson-Gaudin states stand out as they are eigenvectors of a model Hamiltonian. This provides a clear physical picture, clean expressions for reduced density matrix (RDM) elements, and systematic improvement (with a complete set of eigenvectors). Known expressions for the RDM elements require the computation of rapidities, which are obtained by first solving for the so-called eigenvalue based variables (EBV) and then root-finding a Lagrange interpolation polynomial. In this paper, we obtain expressions for the RDM elements directly in terms of the EBV. The final expressions can be computed at the same cost as the rapidity expressions. Therefore, except, in particular, circumstances, it is entirely unnecessary to compute rapidities at all. The RDM elements require numerically inverting a matrix, and while this is usually undesirable, we demonstrate that it is stable, except when there is degeneracy in the single-particle energies. In such cases, a different construction would be required.

Emphysema Quantifications With CT Scan: Assessing the Effects of Acquisition Protocols and Imaging Parameters Using Virtual Imaging Trials

CT scan has notable potential to quantify the severity and progression of emphysema in patients. Such quantification should ideally reflect the true attributes and pathologic conditions of subjects, not scanner parameters. To achieve such an objective, the effects of the scanner conditions need to be understood so the influence can be mitigated. How do CT scan imaging parameters affect the accuracy of emphysema-based quantifications and biomarkers? Twenty anthropomorphic digital phantoms were developed with diverse anatomic attributes and emphysema abnormalities informed by a real COPD cohort. The phantoms were input to a validated CT scan simulator (DukeSim), modeling a commercial scanner (Siemens Flash). Virtual images were acquired under various clinical conditions of dose levels, tube current modulations (TCM), and reconstruction techniques and kernels. The images were analyzed to evaluate the effects of imaging parameters on the accuracy of density-based quantifications (percent of lung voxels with HU<-950 [LAA-950] and 15th percentile of lung histogram HU [Perc15]) across varied subjects. Paired t tests were performed to explore statistical differences between any two imaging conditions. The most accurate imaging condition corresponded to the highest acquired dose (100 mAs) and iterative reconstruction (SAFIRE) with the smooth kernel of I31, where the measurement errors (difference between measurement and ground truth) were 35 ± 3 Hounsfield Units (HU),-4%± 5%, and 26 ± 10 HU (average ± SD), for the mean lung HU, LAA-950, and Perc15, respectively. Without TCM and at the I31 kernel, increase of dose (20 to 100 mAs) improved the lung mean absolute error (MAE) by 4.2 ± 2.3 HU (average ± SD). TCM did not contribute to a systematic improvement of lung MAE. The results highlight that although CT scan quantification is possible, its reliability is impacted by the choice of imaging parameters. The developed virtual imaging trial platform in this study enables comprehensive evaluation of CT scan methods in reliable quantifications, an effort that cannot be readily made with patient images or simplistic physical phantoms.

Improving occupational health for health workers in a pilot hospital by application of the HealthWISE international tool: An interview and observation study in China.

For a safe and healthy workplace in the health sector, the International Labor Organization (ILO) and the World Health Organization (WHO) jointly developed HealthWISE, an international technical tool that helps health workers (HWs) to identify workplace hazards and apply low-cost solutions. This study sought to gather experiences and lessons from a Chinese pilot hospital for the scale-up application of HealthWISE. A qualitative study was undertaken at a Chinese public hospital with a ≥5-year application of HealthWISE through in-depth interviews with targeted HWs who participated in the Training-of-Trainer (TOT) workshops, and observations were gathered using evidence from photos and publications, then, thematic analysis was formulated. Driven by motivation, the participants learned from the HealthWISE TOT workshop alongside the favorite and worst parts of it. Positive changes and results of occupational health for HWs occurred after the workshop, the participants trained others and planned to implement HealthWISE within their responsibility. During the COVID-19 Pandemic, the Hospital acted the approaches of protecting the health, safety and well-being of HWs with significant results. Further suggestions on workshop and HealthWISE implementing as well as the national policies were collected. The study indicated the Hospital's experience of leadership and participation, supporting and facilitating, system establishment, and culture creation. The suggestion included keeping staff engaged under a positive safety and health culture, promoting recognition of HealthWISE among public health institutions nationwide, developing online courses for medical colleges, focusing on the alignment among various law systems, and adopting measures under the principle of the hierarchy of occupational hazards controls. This study has demonstrated the systematic improvement of occupational health for HWs by HealthWISE implementation in the Chinese hospital. The valuable experiences and lessons derived here can be shared with other hospitals in China and beyond, especially under the unprecedented challenges of the COVID-19 pandemic, to achieve the goals of safety, health, and well-being for HWs by building a resilient health system.

Kinetic field theory: perturbation theory beyond first order

We present recent improvements in the perturbative treatment of particle interactions in Kinetic Field Theory (KFT) for inertial Zel'dovich trajectories. KFT has been developed for the systematic analytical calculation of non-linear cosmic structure formation on the basis of microscopic phase-space dynamics. We improve upon the existing treatment of the interaction operator by deriving a more rigorous treatment of phase-space trajectories of particles in an expanding universe. We then show how these results can be applied to KFT perturbation theory by calculating corrections to the late-time dark matter power spectrum at second order in the interaction operator. We find that the modified treatment of interactions w.r.t. inertial Zel'dovich trajectories improves the agreement of KFT with simulation results on intermediate scales compared to earlier results. Additionally, we illustrate that including particle interactions up to second order leads to a systematic improvement of the non-linear power spectrum compared to the first-order result.

Assessing How Residual Errors of Scoring Functions Correlate to Ligand Structural Features

Scoring functions (SFs) are ubiquitous tools for early stage drug discovery. However, their accuracy currently remains quite moderate. Despite a number of successful target-specific SFs appearing recently, up until now, no ideas on how to systematically improve the general scope of SFs have been formulated. In this work, we hypothesized that the specific features of ligands, corresponding to interactions well appreciated by medicinal chemists (e.g., hydrogen bonds, hydrophobic and aromatic interactions), might be responsible, in part, for the remaining SF errors. The latter provides direction to efforts aimed at the rational and systematic improvement of SF accuracy. In this proof-of-concept work, we took a CASF-2016 coreset of 285 ligands as a basis for comparison and calculated the values of scores for a representative panel of SFs (including AutoDock 4.2, AutoDock Vina, X-Score, NNScore2.0, ΔVina RF20, and DSX). The residual error of linear correlation of each SF value, with the experimental values of affinity and activity, was then analyzed in terms of its correlation with the presence of the fragments responsible for certain medicinal chemistry defined interactions. We showed that, despite the fact that SFs generally perform reasonably, there is room for improvement in terms of better parameterization of interactions involving certain fragments in ligands. Thus, this approach opens a potential way for the systematic improvement of SFs without their significant complication. However, the straightforward application of the proposed approach is limited by the scarcity of reliable available data for ligand-receptor complexes, which is a common problem in the field.

Hybrid discrete-continuous truncated Wigner approximation for driven, dissipative spin systems

We present a systematic approach for the semiclassical treatment of many-body dynamics of interacting, open spin systems. Our approach overcomes some of the shortcomings of the recently developed discrete truncated Wigner approximation (DTWA) based on Monte-Carlo sampling in a discrete phase space that improves the classical treatment by accounting for lowest-order quantum fluctuations. We provide a rigorous derivation of the DTWA by embedding it in a continuous phase space, thereby introducing a hybrid discrete-continuous truncated Wigner approximation (DCTWA). We derive a set of operator-differential mappings that yield an exact equation of motion (EOM) for the continuous SU(2) Wigner function of spins. The standard DTWA is then recovered by a systematic neglection of specific terms in this exact EOM. The hybrid approach permits us to determine the validity conditions and to gain detailed understanding of the quality of the approximation, paving the way for systematic improvements. Furthermore, we show that the continuous embedding allows for a straightforward extension of the method to open spin systems subject to dephasing, losses and incoherent drive, while preserving the key advantages of the discrete approach, such as a positive definite Wigner distribution of typical initial states. We derive exact stochastic differential equations for processes which cannot be described by the standard DTWA due to the presence of non-classical noise. We illustrate our approach by applying it to the dissipative dynamics of Rydberg excitation of one-dimensional arrays of laser-driven atoms and compare it to exact results for small systems.

Robust estimation of clinch joint characteristics based on data-driven methods

Given a steadily increasing demand on multi-material lightweight designs, fast and cost-efficient production technologies, such as the mechanical joining process clinching, are becoming more and more relevant for series production. Since the application of such joining techniques often base on the ability to reach similar or even better joint loading capacities compared to established joining processes (e.g., spot welding), few contributions investigated the systematic improvement of clinch joint characteristics. In this regard, the use of data-driven methods in combination with optimization algorithms showed already high potentials for the analysis of individual joints and the definition of optimal tool configurations. However, the often missing consideration of uncertainties, such as varying material properties, and the related calculation of their impact on clinch joint properties can lead to poor estimation results and thus to a decreased reliability of the entire joint connection. This can cause major challenges, especially for the design and dimensioning of safety-relevant components, such as in car bodies. Motivated by this, the presented contribution introduces a novel method for the robust estimation of clinch joint characteristics including uncertainties of varying and versatile process chains in mechanical joining. Therefore, the utilization of Gaussian process regression models is demonstrated and evaluated regarding the ability to achieve sufficient prediction qualities.

A strategic framework for digital maturity of design and construction through a systematic review and application

The digital transformation of design and construction has been chaotic and ad-hoc. This has necessitated the need for clear guidelines and strategic frameworks to guide designers and builders. This paper aims to develop a strategic framework for assessing the digital maturity of design and construction in the Australian context. This research is conducted in three phases using a bottom-up approach. The early, transition and mature stage characteristics of digital maturity are first identified using a systematic literature review. Subsequently, the characteristics are mapped to the New South Wales (NSW) Government's ten-point commitment to the construction sector to propose a conceptual framework, which is then applied to understand the current digital maturity of design and construction in NSW through an industry-wide questionnaire survey. The paper reveals a lack of clear understanding of the stages of digital maturity and proposes a strategic framework for digitalisation of design and construction (SFDDC) to guide systematic improvement. The SFDDC is a decadal framework that considers feasible levels of digitalisation of design and construction and is characterised by a series of baseline technologies and minimum targets at each stage. It is expected to be a catalyst towards digitally driven processes and integrated functional digital twins.

Impact of increased resolution on the representation of the Canary upwelling system in climate models

Abstract. We investigate the representation of the Canary upwelling system (CUS) in six global coupled climate models operated at high and standard resolution as part of the High Resolution Model Intercomparison Project (HighResMIP). The models' performance in reproducing the observed CUS is assessed in terms of various upwelling indices based on sea surface temperature (SST), wind stress, and sea surface height, focusing on the effect of increasing model spatial resolution. Our analysis shows that possible improvement in upwelling representation due to the increased spatial resolution depends on the subdomain of the CUS considered. Strikingly, along the Iberian Peninsula region, which is the northernmost part of the CUS, the models show lower skill at higher resolution compared to their corresponding lower-resolution version in both components for all the indices analyzed in this study. In contrast, over the southernmost part of the CUS, from the north of Morocco to the Senegalese coast, the high-ocean- and high-atmosphere-resolution models simulate a more realistic upwelling than the standard-resolution models, which largely differ from the range of observational estimates. These results suggest that increasing resolution is not a sufficient condition to obtain a systematic improvement in the simulation of the upwelling phenomena as represented by the indices considered here, and other model improvements notably in terms of the physical parameterizations may also play a role.

Distortions in the Balance Between Teaching and Efficiency in the Operating Room

IntroductionThe balance between teaching and operative efficiency (i.e., continuing operative case progression) is difficult for even the most experienced master surgeon educators. The purpose of this study was to explore influencing factors behind attending surgeons’ decisions to break the balance between operative efficiency and teaching in the operating room. MethodsSemistructured interviews were conducted with surgeons across the United States via Web-based video conferencing. The interviews were audio-recorded and transcribed. Qualitative analysis using the framework method was utilized, and emergent themes were identified. ResultsTwenty-three attending surgeons from 8 academic institutions and 11 surgical specialties completed interviews (14 men and 9 women). Attending surgeons consider a variety of factors associated with their dual roles (surgeon versus teacher) when balancing operative efficiency and providing appropriate independence for residents with oversight to promote autonomy. These were divided into surgeon-role-related factors (patient safety, financial factors, scheduling factors, preservation of faculty reputation for efficiency, and mode of operation) as well as teacher-role-related factors (preparation, level, and technical skill of the resident). These factors then informed attending surgeons’ determinations about how the case was progressing, which prompted them to intervene and reduce resident autonomy or allow the resident to continue. ConclusionsSurgeons consider numerous factors when deciding how to balance resident teaching and autonomy while preserving operative efficiency. These findings provide helpful insights for surgical departments to consider inclusion in faculty-development programs, resident education, and systematic improvements.

Recent Progress in Rechargeable Sodium Metal Batteries: A Review.

Sodium metal batteries (SMBs) have been widely studied owing to their relatively high energy density and abundant resources. However, they still need systematic improvement to fulfill the harsh operating conditions for their commercialization. In this review, we summarize the recent progress in SMBs in terms of sodium anode modification, electrolyte exploration, and cathode design. Firstly, we give an overview of the current challenges facing Na metal anodes and the corresponding solutions. Then, the traditional liquid electrolytes and the prospective solid electrolytes for SMBs are summarized. In addition, insertion- and conversion-type cathode materials are introduced. Finally, an outlook for the future of practical SMBs is provided.

Using human factors principles to redesign a 3D lab workflow during the COVID-19 pandemic

BackgroundLike most hospitals, our hospital experienced COVID-19 pandemic-related supply chain shortages. Our additive manufacturing lab’s capacity to offset these shortages was soon overwhelmed, leading to a need to improve the efficiency of our existing workflow. We undertook a work system analysis guided by the Systems Engineering Initiative for Patient Safety (SEIPS) construct which is based on human factors and quality improvement principles. Our objective was to understand the inefficiencies in project submission, review, and acceptance decisions, and make systematic improvements to optimize lab operations.MethodsContextual inquiry (interviews and workflow analysis) revealed suboptimal characteristics of the system, specifically, reliance on a single person to facilitate work and, at times, fractured communication with project sponsors, with root causes related to the project intake and evaluation process as identified through SEIPS tools. As interventions, the analysis led us to: 1) enhance an existing but underused project submission form, 2) design and implement an internal project scorecard to standardize evaluation of requests, and 3) distribute the responsibility of submission evaluation across lab members. We implemented these interventions in May 2021 for new projects and compare them to our baseline February 1, 2018 through – April 30, 2021 performance (1184 days).ResultsAll project requests were submitted using the enhanced project submission form and all received a standardized evaluation with the project scorecard. Prior to interventions, we completed 35/79 (44%) of projects, compared to 12/20 (60%) of projects after interventions were implemented. Time to review new submissions was reduced from an average of 58 days to 4 days. A more distributed team responsibility structure permitted improved workflow with no increase in staffing, allowing the Lab Manager to devote more time to engineering rather than administrative/decision tasks.ConclusionsBy optimizing our workflows utilizing a human factors approach, we improved the work system of our additive manufacturing lab to be responsive to the urgent needs of the pandemic. The current workflow provides insights for labs aiming to meet the growing demand for point-of-care manufacturing.

Identifying Sequential Residue Patterns in Bitter and Umami Peptides

The primary structures of peptides, originating from food proteins, affect their taste. Connecting primary structure to taste, however, is difficult because the size of the peptide sequence space increases exponentially with increasing peptide length, while experimentally-labeled data on peptides' tastes remain scarce. We propose a method that coarse-grains the sequence space to reduce its size and systematically identifies the most common coarse-grained residue patterns found in known bitter and umami peptides. We select the optimal patterns by performing extensive out-of-sample tests. The optimal patterns better represent the bitter and umami peptides when compared against baseline peptides, bitter peptides with all hydrophobic residues and umami peptides with all negatively charged residues, and peptides with randomly-chosen residues. Our method complements quantitative structure--activity relationship methods by offering generic, coarse-grained bitter and umami residue patterns that can aid in locating short bitter or umami segments in a protein and in designing new umami peptides.

Research on Resilience Evaluation and Enhancement of Deep Foundation Pit Construction Safety System

Deep foundation pit (DFP) projects have been a high incidence area of safety accidents because of their own high danger and complexity. Therefore, it is necessary to study the resilience of their construction safety system. This paper systematically identifies the key factors affecting the resilience of deep foundation pit construction based on the analysis of the composition of the deep foundation pit construction safety system (DFPCTSS), the synergistic relationship of its subsystems in the face of the interference and impact of internal and external disaster-causing factors, and the causal mechanism of typical accidents in DFP accidents and the emergent process of system resilience. A resilience evaluation indicator system based on four capacity dimensions of prevention absorption, resistance, recovery, and learning adaptation was constructed by using the fuzzy Delphi method, which is characterized by the resilience emergence process. Then the correlation and weight of evaluation indexes were analyzed based on the DEMATEL–ANP method, the boundary cloud parameters of the resilience evaluation grade were set according to the normal extension cloud model, and the membership degree of the resilience evaluation level was calculated to complete the evaluation of the resilience level. Finally, taking a DFP project of a metro station as an example, the above model was used to evaluate the resilience level of its construction safety system, and suggestions for resilience enhancement were put forward. The results show that the evaluation results are consistent with the actual situation of the project, and the evaluation model is conducive to providing a systematic analysis method and improvement countermeasures for deep foundation pit construction safety management from the perspective of resilience.

A Systematic Analysis of the Capital One Data Breach: Critical Lessons Learned

The 2019 Capital One data breach was one of the largest data breaches impacting the privacy and security of personal information of over a 100 million individuals. In most reports about a cyberattack, you will often hear that it succeeded because a single employee clicked on a link in a phishing email or forgot to patch some software, making it seem like an isolated, one-off, trivial problem involving maybe one person, committing a mistake or being negligent. But that is usually not the complete story. By ignoring the related managerial and organizational failures, you are leaving in place the conditions for the next breach. Using our Cybersafety analysis methodology, we identified control failures spanning control levels, going from rather technical issues up to top management, the Board of Directors, and Government regulators. In this analysis, we reconstruct the Capital One hierarchical cyber safety control structure, identify what parts failed and why, and provide recommendations for improvements. This work demonstrates how to discover the true causes of security failures in complex information systems and derive systematic cybersecurity improvements that likely apply to many other organizations. It also provides an approach that individuals can use to evaluate and better secure their organizations.

Representation of precipitation and top-of-atmosphere radiation in a multi-model convection-permitting ensemble for the Lake Victoria Basin (East-Africa)

The CORDEX Flagship Pilot Study ELVIC (climate Extremes in the Lake VICtoria basin) was recently established to investigate how extreme weather events will evolve in this region of the world and to provide improved information for the climate impact community. Here we assess the added value of the convection-permitting scale simulations on the representation of moist convective systems over and around Lake Victoria. With this aim, 10 year present-day model simulations were carried out with five regional climate models at both PARameterized (PAR) scales (12–25 km) and Convection-Permitting (CP) scales (2.5–4.5 km), with COSMO-CLM, RegCM, AROME, WRF and UKMO. Most substantial systematic improvements were found in metrics related to deep convection. For example, the timing of the daily maximum in precipitation is systematically delayed in CP compared to PAR models, thereby improving the agreement with observations. The large overestimation in the total number of rainy events is alleviated in the CP models. Systematic improvements were found in the diurnal cycle in Top-Of-Atmosphere (TOA) radiation and in some metrics for precipitation intensity. No unanimous improvement nor deterioration was found in the representation of the spatial distribution of total rainfall and the seasonal cycle when going to the CP scale. Furthermore, some substantial biases in TOA upward radiative fluxes remain. Generally our analysis indicates that the representation of the convective systems is strongly improved in CP compared to PAR models, giving confidence that the models are valuable tools for studying how extreme precipitation events may evolve in the future in the Lake Victoria basin and its surroundings.

Impact of Pulmonary Complications on Outcomes and Resource Use After Elective Cardiac Surgery.

To characterize the impact of pulmonary complications (PCs) on mortality, costs, and readmissions after elective cardiac operations in a national cohort and to test for hospital-level variation in PC. PC after cardiac surgery are targets for quality improvement efforts. Contemporary studies evaluating the impact of PC on outcomes are lacking, as is data regarding hospital-level variation in the incidence of PC. Adults undergoing elective coronary artery bypass grafting and/or valve operations were identified in the 2016-2019 Nationwide Readmissions Database. PC was defined as a composite of reintubation, prolonged (>24 hours) ventilation, tracheostomy, or pneumonia. Generalized linear models were fit to evaluate associations between PC and outcomes. Institutional variation in PC was studied using observed-to-expected ratios. Of 588,480 patients meeting study criteria, 6.7% developed PC. After risk adjustment, PC was associated with increased odds of mortality (14.6, 95% CI, 12.6-14.8), as well as a 7.9-day (95% CI, 7.6-8.2) increase in length of stay and $41,300 (95% CI, 39,600-42,900) in attributable costs. PC was associated with 1.3-fold greater hazard of readmission and greater incident mortality at readmission (6.7% vs 1.9%, P <0.001). Significant hospital-level variation in PC was present, with observed-to-expected ratios ranging from 0.1 to 7.7. Pulmonary complications remain common after cardiac surgery and are associated with substantially increased mortality and expenditures. Significant hospital-level variation in PC exists in the United States, suggesting the need for systematic quality improvement efforts to reduce PC and their impact on outcomes.

Systematic improvement in Tong's B-type water drive method

Tong's B-type water drive method was proposed as early as the 1970s and has been widely applied in the dynamic prediction and effective evaluation of oilfield development. Through extensive applications and studies, many researchers found that the statistical constants in the formula of the Tong's B-type water drive method (also referred to as the Tong's B-type formula) are not applicable to multiple types of reservoirs, especially low-permeability ones, due to the limited range of reservoir types when the formula was conceived. Moreover, they put forward suggestions to improve the Tong's B-type formula, most of which focused on the research and calculation of the first constant in the formula. For oilfields in the development stages of high or ultra-high water cuts, it is widely accepted that different types of reservoirs have different limit water cuts. This understanding naturally makes it necessary to further modify the Tong's B-type formula. It is practically significant to establish the water drive formula and cross plot considering that the two constants in the formula vary with reservoir type. By analyzing the derivation process and conditions of the Tong's B-type formula, this study points out two key problems, i.e., the two constants 7.5 and 1.69 in the formula are not applicable to all types of reservoir. Given this, this study establishes a function between key reservoir parameters and the first constant and another function between key reservoir parameters and recovery efficiency. Based on the established two functions and considering that different types of oil reservoir have different limit water cuts, this study develops an improved Tong's B-type formula and prepares the corresponding improved cross plot. The results of this study will improve the applicability and accuracy of Tong's B-type water drive method in predicting the trend of water cut increasing for different types of oil reservoirs.

A study on the Improvement of the General Education Curriculum Based on Analysis of the Learning Objective

Competency-based education focuses on the question, “What can be done?” Therefore, it is necessary to educate learners so that they can perform what they know in the context of life. In addition, it is necessary to present specific learning objectives so that students can understand the content of the subject and use their knowledge to acquire the competencies expressed in specific situations. Therefore, in this study the actual condition of the learning objective of the lesson plans for general education subjects was identified. Also, I tried to propose systematic improvement measures and action strategies for the effective implementation of the general education curriculum. To this end, semantic network analysis was conducted by collecting the lesson plans of 138 subjects in the general education curriculum of University A.As a result, ‘understanding’, ‘acquisition’, and ‘cultivation’ appeared as the keywords of the general education curriculum learning objectives. However, I found that it was insufficient to present practical and specific learning objectives that are characteristic of the competency-based curriculum. Based on these results, I propose that we review the learning objectives system, strengthen the instructor's competency, and establish a goal-based curriculum system to operate the competency-based general education curriculum.

Rapid fabrication of superhydrophobic magnetic melt-blown fiber felt for oil spill recovery and efficient oil–water separation

In response to the defects of low oil adsorption capacity and poor oil–water selectivity of polypropylene fiber felt as an oil spill emergency material, which necessitates systematic improvement to cope with frequent oil spills. Herein, a superhydrophobic magnetic fiber felt is fabricated by a facile melt-blown technique and a rapid modification process to solve its defects while imparting its functionality. UV-induced rapid polymerization of dopamine on melt-blown fibers and a dip coating of hydrophobic candelilla wax to modify mussel-inspired oil-adsorbent felts. The resultant felt features remote controllability as well as thermal and mechanical stability, exhibiting high resistance to corrosive solutions. The adsorption efficiency of the modified felt is significantly enhanced with a capacity of 10–20.48 g/g, and notably, it can be recycled 15 times via manual adsorption–desorption, which greatly contributes to the usefulness of the adsorbent. In addition, the separation efficiency of the felt applied as a membrane exceeds 95.7 % for various oil–water mixtures by gravity alone and a permeate flux of up to 28,662 L·m−2·h−1. A pump-assisted experiment connected to a felt can collect oil at a flux of 20,845 L·m−2·h−1, aiming at the continuous recovery of oil spills from seawater. The significant advancement in oil-adsorbent felt provides engineers with a more realistic strategy to handle oil spills and challenging separations.