Low Flexibility Research Articles

The effects of psychological flexibility and night shifts on mental health and well-being in nurses.

Examining mental health among nurses in the later stages of the COVID-19 pandemic could offer valuable information for addressing these symptoms in the long term. Therefore, the current study aimed to assess the mental health and well-being of Chinese nurses, as well as investigate the impact of psychological flexibility and night shifts on this relationship. In cross-sectional, hospital-based, multicenter study, 422 Chinese nurses were selected by multistage stratified cluster random sampling. The mental health status, psychological flexibility, and wellbeing were assessed via 12-item General Health Questionnaire (GHQ-12), Chinese version of Personalized Psychological Flexibility Index, and Chinese version of the 5-item WHO Well-Being Index, respectively. To examine the proposed theoretical model, we conducted structural equation modeling using SPSS Amos 26 version. The age, gender, night shift, psychological flexibility, mental health, and well-being data were entered into the model. Pearson correlation and chi-square were used to explore the correlation between variables. The high night shifts, being young and low psychological flexibility significantly had a direct effect on worse mental health (night shifts: ES, 95% CI: 0.619, 0.328-0.725; age: ES, 95% CI: 0.542, 0.226-0.993; psychological flexibility: ES, 95% CI: 0.675, 0.369-1.466). The low psychological flexibility and worse mental health were able to directly effect on worse wellbeing (psychological flexibility: ES, 95% CI: 0.419, 0.757-1.519; mental health: ES, 95% CI: 0.719, 1.109-2.607). In addition, psychological flexibility through the mediation of mental health also had an indirect effect on wellbeing (ES, 95% CI: 0.269, 0.957-2.165). Being young, having more night shifts and having less psychological flexibility can be related to the deterioration of mental health and well-being in nurses. Therefore, it is recommended that nurses use the shift routine program with the least focus on the night shifts. Also, interventions to teach younger nurses how to face work stress and interventions to improve the psychological flexibility of all nurses are needed.

Bridging Perceptual Gaps: Designers vs. Non-Designers in Urban Wayfinding Signage Preferences

As urban environments become increasingly complex and the costs and challenges of infrastructure upgrades continue to rise, wayfinding signage has become an effective solution to cope with urban dynamics due to its low cost and high flexibility. Although the functionality of wayfinding signage has been extensively studied, the perceptual differences between designers and non-designers have not been adequately explored. Ignoring these differences may lead to the overlooking of users’ real and diverse needs, resulting in suboptimal signage performance in practical applications and ultimately a reduction in the overall functionality and user experience of urban spaces. This study aims to bridge this perceptual gap. For this study, we conducted a questionnaire survey in China to compare the visual preferences of designers and non-designers regarding text, shape, color coding, and patterns. The results indicate that designers prioritize functionality and clarity to ensure the effective use of signage in complex urban environments, whereas non-designers prefer wayfinding signages that reflect local cultural symbols and characteristics. Our conclusions suggest that the public’s expectations for wayfinding signage extend beyond basic navigational functions, with an emphasis on cultural expression and visual appeal. Understanding these perceptual differences is crucial in developing design strategies that balance functionality, esthetics, and sustainability, thereby facilitating the sustainable integration of signage into urban landscapes.

Aqueous fibrous membrane electrolyte for ultrathin flexible Zinc-air batteries

Membrane electrolytes are key to constructing planar energy storage devices of low thickness and high flexibility, requesting simultaneous optimization of ionic conductivity and mechanical stability. Herein, aqueous phase electrospinning (APE) was implemented to co-spin polyvinyl alcohol and pullulan polysaccharide for fabricating crosslinked fibrous membrane electrolytes. While the hydroxyl-rich polymeric backbone grafted with quaternary ammonium endows a strong hydrogen-bonding network affording a large ionic conductivity of 30.2 mS cm−1, the cellulose-braced fibrous structure manifests a high tensile strength of 4.6 MPa. What’s more, the porous structure of the membrane electrolyte with enhanced charge mobility and uniformity helps to guide homogeneous Zn plating/stripping with suppressed dendrite growth. As a result, the assembled ultrathin flexible ZAB delivers a superb round-trip energy efficiency of 59.8 %, a maximum power density of 102 mW cm−2 and a long-term cycling stability over 100 h at 5 mA cm−2. By innovating the concept and methodology of aqueous fibrous membrane electrolytes, this study opens up a new chapter on the development of solid electrolytes in aqueous battery systems for powering wearable electronics.

Sustainable synthesis of PVA@ZnO:Ga3+ nanocomposite films for UV shielding, food preservation, shape memory and anti-counterfeiting applications

Herein, we successfully fabricated transparent and highly flexible polyvinyl alcohol@ZnO:Ga3+ (PVA@ZnO:Ga3+) nanocomposites (NCs) films by simple solution casting method. Upon excitation at 266 nm, both the ZnO:Ga3+ nanoparticles (NPs) and the PVA@ZnO:Ga3+ NCs exhibit a prominent peak at 385 nm and a broad peak around 550 nm. The optimized PVA@ZnO:Ga3+ NCs demonstrated the most effective ultra violet (UV) blockage across the UV-A (99.99 %), UV-B (100 %) and UV-C (100 %) and high energy blue light HEBL (94.63 %). However, PVA alone absorbed <25 % of the light in all UV regions. Packaging of fresh cherry fruit with PVA@ZnO:Ga3+ (0.1 wt%) NCs enhanced the shelf-life up-to 15 days of storage under room temperature. These innovative NCs packaging films could provide a green, environment-friendly and antimicrobial system to combat the shorter shelf life of cherry fruit. The optimized NCs exhibited excellent shape recovery under pH conditions of 1, 7 and 13 and at a temperature of 70 °C, returning to its original shape within 120, 150, 160 and 6 sec, respectively. This emphasizes the NCs remarkable water-induced shape memory ability. Further, PVA@ZnO:Ga3+ NCs security ink offers strong anti-counterfeiting (AC) properties with UV luminescence and stability against UV exposure, aging and temperature effect. It adheres well to various substrates, ensuring long-term durability and resistance to replication. Overall, the results clearly show that ZnO:Ga3+ NPs hold great promise for applications in AC technology, UV blocking and the food packaging industry, thanks to their low cost, biocompatibility, flexibility and transparency.

Food insecurity and adolescent impulsivity: The mediating role of functional connectivity in the context of family flexibility.

Adolescent food insecurity is a salient adversity hypothesized to affect neural systems associated with increased impulsive behavior. Family environments shape how adverse experiences influence development. In this study, hypotheses were tested regarding the conjoint effects of food insecurity and family flexibility on impulsivity via alterations in connectivity between regions within the salience and central executive networks. Such alterations are reflected in resting-state functional connectivity (rsFC) metrics between the anterior insula (AI) and the middle frontal gyrus (MFG). Hypotheses were tested in a longitudinal moderated mediation model with two waves of data from 142 adolescents (Time 1 [T1] Mage = 12.89, SD=0.85; Time 2 [T2] Mage = 15.01, SD=1.07). Data on past-year household food insecurity, family flexibility, and rsFC were obtained at T1. Impulsivity was self-reported by the adolescent at T1 and T2. Findings revealed that high T1 left-to-left rsFC between the AI and MFG was associated with increased impulsivity at T2. The interaction of family flexibility and food insecurity was associated with AI and MFG rsFC. In the context of low family flexibility, food insecurity was linked to high levels of AI and MFG rsFC. Conversely, in the context of optimal family flexibility, food insecurity was associated with low levels of AI and MFG rsFC. Conditional indirect analysis suggests that the links among food insecurity, rsFC, and impulsive behavior depend on family flexibility. RESEARCH HIGHLIGHTS: Adolescent food insecurity was associated with anterior insula and middle frontal gyrus connectivity only at certain levels of family flexibility. High family flexibility attenuated the link between food insecurity and neural connectivity, while low levels of family flexibility increased this risk. High left anterior insula and left middle frontal gyrus connectivity was associated with increased impulsivity 1 year later.

An efficient control scheme for operational performance enhancement of vehicular fuel cell integrated power system

Recent advancements in fuel cell (FC) technology have positioned it as a promising alternative energy source across various stationary, mobile, and transportation applications. As fuel cell vehicles (FCVs) become increasingly prominent in the transportation sector, they also offer the potential to function as supplementary stationary energy providers when parked, thereby contributing to the grid. In this study, a control method to enhance the energy transfer capability of an FCV-integrated grid system is proposed. To manage energy transfer between grid and FCVs, classical strategies using fixed parameter controllers suffer from performance degradation due to the nonlinear and external parameter-dependent nature of the FC stacks. The proposed adaptive fractional-order proportional-integral strategy bears the advantage of self-tuning parameters feature for designing the control parameters of power conditioning unit. Using fractional-order control endows the system with memory and heredity, enhancing its ability to handle nonlinearity and uncertainty. Through case studies, it is demonstrated that the proposed strategy reduces vehicular FC output power variations by over 60 % while enhancing transient response by 50 % compared to classical control methods. Thus, the limitations such as low control flexibility, slow transient response, and high undershoot/overshoot rates addressed by the classical controllers are countered thanks to the developed strategy.

ASIP Performance Enhancement by Hazard Control through Scoreboard

The application-specific instruction set processor (ASIP) has been gradually accepted in AI, communication, media, game and industry control. The digital signal processor (DSP) is a typical ASIP, whose benefits include high performance in specific domains, low power consumption, high flexibility and low silicon consumption. One of the challenges for DSP design is to handle problems induced by datapath acceleration. The datapath acceleration (instruction fusion, black box instructions) induces control complexities. To most efficiently utilize hardware, control challenges can be summarized as RAW (Read-After-Write) handling, hardware hazard handling, and WAW (Write-After-Write) handling. Both an advanced compiler and hardware hazard handler can be used as solutions. In this paper, we introduced both solutions and exposed the benefits from the hardware solution. The benefits include utilizing low silicon to achieve higher performance and program memory reduction on chip. In summary, our solution only uses 0.91% extra silicon area yet achieves 32.75% performance improvement. So, the overall performance-to-cost ratio could be evaluated as 32%.

Enhanced Efficiency of Dye-Sensitized Solar Cells Using Nitrogen-Titanium Dioxide Composites and Optimized Azo Dye Mixtures

In response to the increasing global energy demand, developing cost-effective and reliable renewable energy sources is crucial. Dye-Sensitized Solar Cells (DSSCs) have emerged as a promising alternative due to their low production cost, flexibility, and capability to operate under diffuse sunlight. This study aims to enhance the efficiency of DSSCs by incorporating Nitrogen-Titanium Dioxide (N-TiO2) composites synthesized via the Sol-Gel method [1]. The DSSCs were constructed using N-TiO2 composites in conjunction with VC, RP, and RM azo dyes. Nitrogen in the TiO2 matrix effectively reduced the band gap, leading to improved light absorption. The presence of Nitrogen dopants is expected to introduce additional energy levels within the TiO2 bandgap, enhancing light absorption and charge carrier separation, which are crucial factors for improved DSSC performance [2,3]. The current-voltage (I-V) characteristics of the DSSCs revealed significant variations in key performance metrics, including short circuit current (Isc), fill factor, and power conversion efficiency. Specifically, DSSCs utilizing N-TiO2 with VC-RP dye mixture achieved a higher efficiency of 0.349%, an Isc of 0.85 mA, and a fill factor of 44.59%, with Rs and Rsh values of 328.13Ω and 1637.18Ω, respectively [4]. These results underscore the potential of N-TiO2 composites, particularly when paired with optimized dye mixtures, to significantly enhance the electronic properties and overall efficiency of DSSCs.

Multi-Criteria Decision Analysis of Wireless Technologies in WPANs for IoT-Enabled Smart Buildings in Tourism

The increasing demand for energy-efficient and interconnected smart buildings, particularly in the tourism sector, has driven the adoption of advanced wireless technologies. IoT technologies are crucial in this evolution, improving modern buildings’ functionality and operational efficiency. This study investigates the utilization of various wireless technologies within Wireless Personal Area Networks (WPANs), including Bluetooth BLE 4.2, Bluetooth BLE 5.0, ZigBee, and Z-Wave, in smart buildings. A multiple-criteria decision-making (MCDM) approach, specifically the PIPRECIA-S model, was applied to evaluate these technologies based on criteria such as device connectivity, mobility, low energy consumption, scalability, flexibility, and interoperability. Simulations using the PIPRECIA-S model were conducted to assess technology performance across various real-world scenarios. The results indicate that ZigBee (0.2942) and Bluetooth BLE 5.0 (0.2602) provide superior performance in terms of energy efficiency and scalability, followed by Z-Wave (0.2550) and Bluetooth BLE 4.2 (0.1906). These findings provide decision-makers with data-driven recommendations for selecting the most suitable wireless technologies for smart buildings.

Translating theoretical insights into an emotion regulation flexibility intervention: assessing effectiveness

ABSTRACT Objective: Traditional research often categorizes emotion regulation strategies as adaptive or maladaptive, overlooking crucial situational and individual differences that dictate their efficacy. The literature highlights the need for a more nuanced approach, like the role of emotion regulation flexibility. Despite its importance, research on developing and testing interventions that promote this flexibility is scarce. Addressing this gap, our study designed and tested an “Emotion Regulation Flexibility Booster Program” (ERFBP). We aimed to assess its efficacy in improving emotion regulation flexibility (ERF) and its impact on various mental health indicators. Method: We recruited 153 participants with low emotion regulation flexibility, randomly assigning them to experimental, control, and no-treatment groups. The experimental group was provided with an intervention based on an ERF model. The control group received sessions on study habits, whereas no-treatment group received no training. Results: The analysis indicated that participants in the ERFBP group exhibited significant changes in ERF, subjective wellbeing, and emotion regulation goals and psychological distress compared to baseline measurements and post-intervention scores of other two groups. Conclusion: These findings support the effectiveness of the ERFBP in enhancing ERF and wellbeing. However, further research must confirm these findings across diverse contexts and populations.

Scaling design and similarity analysis of a floating nuclear power plant

In the process of developing floating reactor systems, their operation in the marine environment needs to be simulated to ensure the reliability of the safe design of nuclear reactors. Scaling test is a potential option for computer model validation by virtue of its low cost and flexibility. This study first gives the similarity law for dynamic tests of the reactor system in high-temperature environments by dimensional analysis. Then we focus on analyzing the jamming phenomenon that may occur during the similarity design process and provides a solution for realizing the contact state of the prototype in the scaled model. This study also analyzes the dynamic response of a floating reactor system under extreme operating conditions by combining numerical simulations and scaling tests. By comparing the response results predicted by the scaled model with the prototype response, it is further demonstrated that the feasibility of scaling test as an alternative to full-size test to provide a reference for realizing low-cost, accurate and safe design for reactor system.

Adaptive impedance control method for manipulator based on radial basis function

Purpose In view of the unknown environmental parameters and uncertain interference during gripping by the manipulator, it is difficult to obtain an effective gripping force with the traditional impedance control method. To avoid this dilemma, the purpose of this study is to propose an adaptive control strategy based on an adaptive neural network and a PID search optimization algorithm for unknown environments. Design/methodology/approach The method is based on a variable impedance model, and a new impedance model is established using a radial basis function (RBF) neural network to estimate unknown parameters of the impedance model. The approximation errors of the adaptive neural network and the uncertain disturbance are effectively suppressed by designing the adaptive rate. In the meantime, auxiliary variables are constructed for Lyapunov stability analysis and adaptive controller design, and PSA is used to ensure the stability of the adaptive impedance control system. Based on the Lyapunov stability criterion, the adaptive im-pedance control system is proved to have progressive tracking convergence property. Findings Through comparative simulations and experiments, the superiority of the proposed adaptive control strategy in position and force tracking has been verified. For objects with low flexibility and light-weight (such as a coke, a banana and a nectarine), this control method demonstrates errors of less than 10%. Originality/value This paper uses RBF neural networks to estimate unknown parameters of the impedance model in real-time, enhancing system adaptability. Neural network weights are updated online to suppress errors and disturbances. Auxiliary variables are designed for Lyapunov stability analysis. The PSA algorithm is used to adjust controller parameters in real-time. Additionally, comparative simulations and experi-ments are designed to analyze and validate the performance of controller.

A Porphyrin-Phenylalkynyl-Based Conjugated Organic Polymer as a High-Performance Cathode for Rechargeable Organic Batteries.

Organic electrode materials (OEMs) have attracted much attention for rechargeable batteries due to their low cost, environment friendliness, flexibility, and structural versatility. Despite the above advantages, high solubility in electrolyte and low electronic conductivity remain critical limitations for the application of OEMs. In this work, the conjugated organic polymer (COP) poly([5,10,15,20-tetrakis(4-phenylalkynyl)porphyrin]Cu(II)) (PCuTPEP) is proposed as a cathode for high performance in organic lithium batteries. The polymerization inhibits the dissolution of the organic electrodes in the electrolyte, and the porphyrin and ethynyl-phenyl groups greatly expand the conjugated system and result in a high average discharge plateau at 4.0 V (vs Li+/Li). The PCuTPEP cathode exhibits a reversible discharge capacity of 119 mAh g-1 at a current of 50 mA g-1. Even at a high current density of 2.0 A g-1, excellent cycling stability up to 1000 cycles is achieved with capacity retentions of 88.5 and 90.4% at operating temperatures of 25 and 50 °C in organic lithium batteries, respectively. This study provides the approach for the development of organic cathodes for electrochemical energy storage.

Energy-Preserving Perturbation Method for Thermally Induced Dynamics in Aerospace Tensegrity Structures

Tensegrity structures are emerging as pivotal components in the assembly of ultralarge modular spacecraft in orbit, primarily due to their exceptional volume-to-mass ratio and robust controllability. During on-orbit operations, given the low damping and high flexibility of tensegrity, its vibration-induced deformations affect the magnitude of the heat flux, presenting a typical force–shape coupling problem. This paper introduces an energy-preserving matrix perturbation solution designed to efficiently and accurately address the thermally induced vibration challenges in tensegrity. This method effectively mitigates the energy dissipation and numerical instability issues. Furthermore, the analysis incorporates the impact of the axial component of heat flux on structural vibration, uncovering the influence mechanism of this often-overlooked slow variable on the dynamic behavior of tensegrity. The proposed method demonstrates a deviation of less than 1% between the thermal response and the results obtained from finite element analysis, while achieving a 70% reduction in computation time. The varying axial thermal load leads to a rapid decrease in system frequency, resulting in divergent thermal vibrations. Additionally, the significant dynamic stress can potentially surpass the structural stress limits. These findings underscore the critical importance of considering such effects in the design and calculation of tensegrity structures for aerospace applications.

The concept of a smart contract: advantages and current situation of legal regulation in the Republic of Kazakhstan

This scientific article outlines the current provisions of the legal regulation of smart contracts, the relevance of which will grow as such contracts spread in various spheres and areas of life. Thus, the main problem of regulating relations on the use of a smart contract is the ambiguity of its legal essence, the lack of regulation in legislation, including in the Civil Code of the Republic of Kazakhstan. At the same time, some advantages of a smart contract are clearly shown by examples, which will help facilitate the process of concluding, changing, terminating and executing contracts. The main advantages of a smart contract are also discussed in detail, such as automation, transparency, security, efficiency, low intermediary costs, decentralization, flexibility and programmability. In the research, the authors touched upon the problems of fulfilling obligations in debt relations, the potential advantages and assistance of a smart contract in enforcement proceedings. The result of the exploration is a formulated definition of a smart contract and the identification of specific potential advantages of this type of non-traditional contracts. The authors summarize the results, noting the absence of a legal definition of a smart contract in the legislation of the Republic of Kazakhstan, the exclusively declarative nature of its legal regulation; the ambiguity of the range of public relations where contracts in this form are applicable, which does not allow the widespread dissemination and use of a smart contract.

Strategic investments and portfolio management in interdependent low-carbon electricity and natural gas markets

Addressing global warming necessitates carbon emissions reduction and renewable energy integration within the energy sector. Gas-Fired Power Plants (GFPP) are appealing to investors due to their low emissions and operational flexibility, which are considered necessary characteristics within low-carbon power systems with increasing renewable energy uncertainty. Investing in GFPPs presents intricate challenges due to the increasingly interdependent electricity and natural gas markets, especially in the light of a low-carbon economy. This work addresses these challenges for a strategic agent by proposing a bi-level optimization framework. The upper-level model derives the optimal electricity portfolio management regarding new investments and strategic biddings, while in the lower-level model, the electricity and gas markets are cleared sequentially under a Carbon Emission Trading Scheme (CETS). Case studies on a Pennsylvania-New Jersey- Maryland (PJM) 5-bus power system and an IEEE 24-bus test system demonstrate the applicability and efficacy of the proposed model in capturing the impact of a transitional integrated market framework on GFPPs investments. Also, introducing stochasticity to the model provides a better insight into the contrasting effects of emission allowance trading and gas prices on investment and bidding strategies.

Evaluation of inhibition effect and interaction mechanism of antiviral drugs on main protease of novel coronavirus: Molecular docking and molecular dynamics studies

The outbreak of pneumonia caused by the novel coronavirus (SARS-CoV-2) has presented a challenge to public health. The identification and development of effective antiviral drugs is essential. The main protease (3CLpro) plays an important role in the viral replication of SARS-CoV-2 and is considered to be an effective therapeutic target. In this study, according to the principle of drug repurposing, a variety of antiviral drugs commonly used were studied by molecular docking and molecular dynamics (MD) simulations to obtain potential inhibitors of main proteases. 24 antiviral drugs were docked with 5 potential action sites of 3CLpro, and the drugs with high binding strength were further simulated by MD and the molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) binding free energy calculations. The results showed that the drugs with high flexibility could bind to 3CLpro better than those with low flexibility. The interaction mechanism between antiviral drugs and main protease was analyzed in detail by calculating the root mean square displacement (RMSD), root mean square fluctuation (RMSF) and interaction residues properties. The results showed that the six drugs with high flexibility (Remdesivir, Simnotrelvir, Sofosbuvir, Ledipasvir, Indinavir and Raltegravir) had strong binding strength with 3CLpro, and the last four antiviral drugs can be used as potential candidates for main protease inhibitors.

Exploring the impact of microfluidic chip structure on the efficacy of three-dimensional tumor microspheres cultivation.

Three-dimensional (3D) tumor microspheres can simulate the interaction and growth dynamics of tumor cells, and have been used as a new in vitro model for drug screening and tumor biology related research. The scaffold-free culture of 3D tumor microspheres on microfluidic chips has many advantages, including low cost, high throughput, convenience and flexibility. However, it is still unclear how various factors, such as chip structure, influence the culture effect of tumor microspheres. The lack of standardized evaluation and characterization of the culture effect hinders the further optimization and development of chip function. This study presents numerical simulations of multiple parts or processes of the proposed 3D culture chips with two different structural parameters based on computational fluid dynamics (CFD) methods. An evaluation system for tumor microspheres was established. The prediction of the CFD simulation was consistent with the culture results of the chips, reflecting the important role of the structural parameters of the microtrap in the formation of uniform tumor microspheres. Furthermore, the velocity of cell suspension also had a significant impact on the retention of tumor cells. Additionally, the drug screening results of tumor microspheres indicated that tumor microspheres exhibit greater drug resistance, which may be attributed to their size. These results offer valuable insights into the factors that influence the characteristics of tumor microspheres. This research provides a reference and direction for the optimal design and functional evaluation of scaffold-free 3D culture chips, and holds promise for promoting the development of novel drug research platforms.

StyleRF-VolVis: Style Transfer of Neural Radiance Fields for Expressive Volume Visualization.

In volume visualization, visualization synthesis has attracted much attention due to its ability to generate novel visualizations without following the conventional rendering pipeline. However, existing solutions based on generative adversarial networks often require many training images and take significant training time. Still, issues such as low quality, consistency, and flexibility persist. This paper introduces StyleRF-VolVis, an innovative style transfer framework for expressive volume visualization (VolVis) via neural radiance field (NeRF). The expressiveness of StyleRF-VolVis is upheld by its ability to accurately separate the underlying scene geometry (i.e., content) and color appearance (i.e., style), conveniently modify color, opacity, and lighting of the original rendering while maintaining visual content consistency across the views, and effectively transfer arbitrary styles from reference images to the reconstructed 3D scene. To achieve these, we design a base NeRF model for scene geometry extraction, a palette color network to classify regions of the radiance field for photorealistic editing, and an unrestricted color network to lift the color palette constraint via knowledge distillation for non-photorealistic editing. We demonstrate the superior quality, consistency, and flexibility of StyleRF-VolVis by experimenting with various volume rendering scenes and reference images and comparing StyleRF-VolVis against other image-based (AdaIN), video-based (ReReVST), and NeRF-based (ARF and SNeRF) style rendering solutions.

Smart anti‐fouling and self‐repairing polymer brushes for efficient oil–water separation

AbstractThe increasing water pollution problem poses a demand for oil–water separation materials, but preparing separation materials with high efficiency and excellent durability remains a great challenge. In this work, we use a diblock polymer brush of polydimethylsiloxane (PDMS) and poly(N,N‐dimethylaminoethyl methacrylate) (PDMAEMA) based on cotton fabric to prepare oil–water separation membranes with high efficiency, good durability, and intelligent self‐repairing properties. Lubricating PDMS brushes reduces the fouling adhesion due to its low surface energy and high flexibility. pH‐responsive PDMAEMA brushes provide good hydrophobicity and an intelligent self‐repairing effect. The prepared Co‐PDMS‐PDMAEMA has high oil flux (&gt;30,000 L m−2 h−1) and high separation efficiency (&gt;99%) even after 10 cycles and its surface character can be recovered under acidic conditions. Overall, the modified cotton fabric made by such a versatile technique is promising in oil–water separation.