Maintenance Issues Research Articles

Embracing the Moment - Reconceptualizing the Campus Library

The article suggests that library leaders should view space as a valuable resource for their libraries and use it to create opportunities. With older library buildings often facing deficiencies and maintenance issues, it is important for leaders to think strategically about how to repurpose and utilize the space in a way that aligns with the institution's priorities. This may involve developing new partnerships and reframing the conversation around library services as a vital component of the institution's mission. It's also highlighted that library leaders should be proactive in leading the "reconceptualizing" of what the library is, based on the campus's specific needs and positioning the library's spaces as a proactive contributor to the institution's priorities.

Leveraging WiFi network logs to infer student collocation and its relationship with academic performance

A comprehensive understanding of collocated social interactions can help campuses and organizations better support their community. Universities could determine new ways to conduct classes and design programs by studying how students have collocated in the past. However, this needs data that describe large groups over a long period. Harnessing user devices to infer collocation, while tempting, is challenged by privacy concerns, power consumption, and maintenance issues. Alternatively, embedding new sensors across the entire campus is expensive. Instead, we investigate an easily accessible data source that can retroactively depict multiple users on campus over a semester, a managed WiFi network. Despite the coarse approximations of collocation provided by WiFi network logs, we demonstrate that leveraging such data can express meaningful outcomes of collocated social interaction. Since a known outcome of collocating with peers is improved performance, we inspected if automatically–inferred collocation behaviors can indicate the individual performance of project group members on a campus. We studied 163 students (in 54 project groups) over 14 weeks. After describing how we determine collocation with the WiFi logs, we present a study to analyze how collocation within groups relates to a student’s final score. We found that modeling collocation behaviors showed a significant correlation (Pearson’sr =0.24) with performance (better than models of peer feedback or individual behaviors). These findings emphasize that it is feasible and valuable to characterize collocated social interactions with archived WiFi network logs. We conclude the paper with a discussion of applications for repurposing WiFi logs to describe collocation, along with privacy considerations, and directions for future work.

Global helium shortage leading to the shutting of imaging modalities is the world’s next medical crisis-driving factors, future of helium-free magnetic resonance imaging systems, and alternatives to magnetic resonance imaging

Global helium shortage leading to the shutting of imaging modalities is the world’s next medical crisis-driving factors, future of helium-free magnetic resonance imaging systems, and alternatives to magnetic resonance imaging

Hurricane Vulnerability and Constrained Choices among Mobile Home Park Residents in South Florida

Abstract South Florida experiences some of the highest coastal hurricane vulnerability in the United States. Mobile home communities in south Florida are particularly vulnerable to hurricanes due to the weaker structural integrity of the home or land and a mix of structural and sociodemographic factors. A mixed-methods study was conducted to assess hurricane risk perceptions, experiences, and decision-making among permanent mobile home park (MHP) residents in Broward and Miami-Dade Counties. Return-by-mail surveys were distributed in July 2016 after several years of nominal hurricane activity in south Florida (and before Hurricane Matthew’s formation in September 2016), and focus groups were conducted at MHPs in May 2018, eight months after Hurricane Irma’s September 2017 landfall. Quantitative analysis of 44 in-person and 57 return-by-mail survey responses revealed that respondents tended to be older, retired, or unemployed and had modest levels of education, with many expressing forms of social- and structural-level hurricane risk before Hurricane Matthew. Qualitative analysis of six focus group discussions conducted after Hurricane Irma revealed that the constraints and vulnerabilities experienced by residents coalesced into several primary themes related to preparation, evacuation, assistance, stress and anxiety, tree concerns, and recovery. Participants specifically highlighted their concerns about tree hazards, damages, and maintenance issues arising before, during, and after hurricanes in MHPs. These results build on the scholarship on hurricane risk by underscoring the structural and social vulnerability of residents living in MHPs that constrain building resilience, adaptive capacity, community restoration efforts, and advocating for policy changes. Significance Statement This study aims to understand local hurricane risk perceptions, experiences, and vulnerabilities among residents of mobile home parks after a decade-long hurricane drought in south Florida and also to understand the barriers residents faced after a major hurricane. A hurricane drought is critical to study because it can erode individual and community-level preparedness. Residents of mobile home parks may experience more flooding, higher winds, tornadoes, and other dangers during hurricanes. Residents also face county-, neighborhood-, and household-level structural vulnerabilities that restrict their options related to hurricane preparedness, safety during a storm, and resilience in its aftermath. Our study uses various forms of data collection to obtain insights from permanent residents of mobile home parks in south Florida. In addition, it discusses the social and economic disadvantages and opportunities that policy makers can address in climate change risk management.

Evolution of approaches to understanding the notion of human right to security: domestic and foreign doctrine

The article examines the notion of security as an interdisciplinary notion in the conceptual and categorical apparatus of jurisprudence. The article determines the approaches of domestic and foreign researche to understanding this category from the point of view of politics, economics, sociology, law, etc. It is emphasized that the intensification of scientific interest to the security issue led to the identification of a few main directions of research on it, in particular: theoretical and methodological comprehension of the modern foundations of the human security issue, of the sources and prerequisites of all kinds of threats to its existence, of the possible scenarios of the development of social processes, etc.; theoretical and applied research on the most important components of the security issue, such as economic, political, military, technogenic, ecological, social and other types of security, that is, the entire complex of national security issues that are recognized as a priority in any civilized society, any modern state; specific research on the state of social objects in the subject field of the security issue, determination of parameters of stability of social systems, of possible structural deformations at various societal levels, of social reflection of an individual on the impact of threats, etc. The research on the notion of security has initially developed within the framework of the theory of international relations and is based on three main approaches, the ideas of which were established as early as the New Age. Scientific approaches to the analysis of security in democratic states are based on the study of systemic elements of security: interests, values, threats, objects, subjects, tools and the correlation of their content with democratic ideals. A comprehensive systemic approach allows determining the elements of the security maintenance system and their features in political systems of various types, finding rational and effective solutions to security maintenance issues, taking into account human interests, ensuring their rights and freedoms. However, under the influence of external and internal factors, in various types of democratic regimes, such systems of national security and methods of its maintenance are formed, which do not always correspond to ideal perceptions of democracy and of protection of human rights. At the same time, it is emphasized that new dangers and threats force even established democratic states to limit freedoms and human rights and to derogate from democratic ideals. Derogation from democratic principles for the sake of security ultimately creates dangers and threats for the individual, society and the state. Therefore, modern security researchers face the task of finding a balance between democracy and security, as well as identifying the features of its maintenance systems in democratic states.

Constraints on integral measures of stress state in topology optimization problems

Topology optimization (TO) is a computational method of determining material distribution in a given design area to create the optimal shape of a part under given boundary conditions. The increased interest in the development of effective methods of designing parts of the optimal topology testifies to the relevance of these theoretical studies and the important applied value of the obtained results. In the classic formulation of maintenance, the minimization of the flexibility of the part under restrictions on the volume (mass) of the optimization result is chosen as a criterion for finding the specified distribution. Closer to practical application is the formulation of the maintenance problem, which involves minimizing the volume of the part, taking into account the condition of its strength. The inclusion of aggregate functions for the calculation of integral measures of the stress state has a number of advantages over the traditional check of the maximum value of mechanical stress: significant saving of time for solving the maintenance problem, reduction of computational costs and ensuring the stability of the computational process. This work presents and analyzes the specialization of the applied application of aggregate functions, which have been most widely used in modern research on maintenance issues, taking into account the strength of the optimized part. In particular, the P-norm and P-mean functions, the Kreiselmeier-Steinhauser functions, the smoothed Heaviside function, the measure of exceeded stresses, and the measure of uneven distribution of the stress state are described. The large number of options available in the literature for the mathematical formulation of limitations for integral measures of the stress state of designed parts indicates that the issue of developing a universal and effective method of designing parts, taking into account the criterion of its strength, remains open.

Smart Parking System Based on Edge-Cloud-Dew Computing Architecture

In a smart parking system, the license plate recognition service controls the car’s entry and exit and plays the core role in the parking lot system. When the Internet is interrupted, the parking lot’s business will also be interrupted. Hence, we proposed an Edge-Cloud-Dew architecture for the mobile industry in order to tackle this critical problem. The architecture has an innovative design, including LAN-level deployment, Platform-as-a-Dew Service (PaaDS), the dew version of license plate recognition, and the dew type of machine learning model training. Based on these designs, the architecture presents many benefits, such as: (1) reduced maintenance and deployment issues and increased dew service reliability and sustainability; (2) effective release of the network constraint on cloud computing and increase in the horizontal and vertical scalability of the system; (3) enhancement of dew computing to resolve the heavy computing process problem; and (4) proposal of a dew type of machine learning training mechanism without requiring periodic retraining, but with acceptable accuracy. Finally, business owners can reduce their burdens when introducing machine learning technology. Our research goal is to make parking systems smarter in edge computing through the integration of cloud and dew architecture technology.

COMMUNITY PARTICIPATION IN WATER AND SANITATION SERVICE DELIVERY:AN EMPIRICAL CASE OF MANTSOPA MUNICIPALITY, SOUTH AFRICA

This study examined the impact of community participation on water and sanitation services in the Mantsopa Municipality. Qualitative methods, including interviews with community representatives and municipal officials, were used to gather and analyze data thematically. The results indicated that community involvement can enhance service delivery and improve resident satisfaction. However, the quality of water and sanitation facilities remains a concern due to long-standing maintenance and population growth issues. Barriers to decision-making were identified, including limited funding, public awareness and education, socio-cultural, political and economic constraints which discouraged participation. Collaboration among government agencies, civil society organizations, and local communities is necessary to overcome these systemic barriers. Municipal authorities should consider the cultural, social, political, and economic factors and drivers at play in redesigning the water supply and sanitation systems to accommodate population growth.

Medical Gas Systems Maintainability Risks in Healthcare Facilities: A Design Optimization Approach

Medical gas pipeline systems (MGPSs) are crucial for operating healthcare facilities as life-saving systems. The sustainability of MGPSs mandates optimum performance by reducing maintenance and repairs. Since faulty design is inventible, healthcare facilities endure several design-caused maintenance issues that endanger the sustainability of healthcare services and maintenance life cycle costs. These design decisions could have been avoided if proper consideration for maintenance had been applied. Eleven experts participated in semi-structured interviews guided by Staticized Group Techniques to identify and evaluate the maintenance issues. The results included identifying 52 design-related maintenance issues that pose maintainability risks. The findings primarily fall under emergency gas supply availability, future expansion readiness, and accessibility of maintenance. The most critical issue found is the excessive cutting-outs of the pipelines when upgrading the system. For new healthcare facilities, the results of this research provide practical help for designers to avoid MGPS issues. A scarcity of benchmark research and geographical factors are some limitations to this study.

A Review Of Blockchain Technology In Big Data Paradigm

Various organizations have plunged towards cloud computing solutions because of high cost, storage space and maintenance issues from big data. Big data is utilized by institutions in decision making process to achieve valuable insights in real time. Nevertheless big data has indeed helped organizations, andeven small to medium-sized businesses, but it characteristics has posed great challenges at same time. The cloud platform has facilitated in handling computational, networking and storage capacity related issues but still these mechanisms are inadequate to deal with the rapid data explosion. Moreover data is not secure in Cloud Environment as the servers are governed by third party. In recent years fusion of big data and blockchain technology has pushed big data beyond imagination and imparted great prospective in better-quality big data services and applications. Organizations certainly will adopt these two emerging technologies to transform their business needs. In this paper we present an overview of security related issue of big sensitive data on cloud platform along with motivation behind paradigm shift i.e. Integration of big data and blockchain technology.

A prognostic driven predictive maintenance framework based on Bayesian deep learning

Recent years have witnessed prominent advances in predictive maintenance (PdM) for complex industrial systems. However, the existing PdM literature predominately separates two inter-related stages—prognostics and maintenance decision making—and either studies remaining useful life (RUL) prognostics without considering maintenance issues or optimizes maintenance plans based on given/assumed prognostic information. In this paper, we propose a prognostic driven dynamic PdM framework by integrating the two stages. In the prognostic stage, we characterize the latent structure between degradation features and RULs through a Bayesian deep learning model. By doing so, the framework is capable of generating a predictive RUL distribution that can well describe prognostic uncertainties. In the maintenance decision-making stage, we dynamically update maintenance and spare-part ordering decisions with the latest predictive RUL information, while satisfying operational constraints. The advantage of the proposed PdM framework is validated by comparison with several benchmark polices, based on the famous C-MAPSS turbofan engine data set.

0351 Differential Effect of Lemborexant and Zolpidem on Wake Across the Night in Patients with Insomnia Disorder

Abstract Introduction Insomnia can involve difficulty with falling and/or staying asleep; older adults tend to report more sleep maintenance issues. While zolpidem tartrate extended-release 6.25mg (ZOL) is indicated to treat sleep onset and maintenance, data indicate that ZOL may be less effective in the last 2 hours of the night. It is important to understand the differences between ZOL and lemborexant (LEM), a dual-orexin-receptor-antagonist with the same indication. In Study 304 (E2006-G000-304; NCT02783729), LEM treatment significantly improved objective sleep maintenance (wake after sleep onset [WASO] and WASO in the second half of the night) assessed by polysomnography (PSG) over 1 month compared with placebo (PBO) and ZOL in older adults with insomnia disorder. This post-hoc analysis assessed the effect of LEM and ZOL on wake at each hour (H) of an 8-h sleep period. Methods Study 304 was a randomized, double-blind, PBO- and active-controlled, parallel-group study in adults ≥55y. Subjects (n=1006) received PBO, LEM 5mg (LEM5) or 10mg (LEM10), or ZOL for 1 month. Wake (minutes) was assessed hourly from paired PSGs during single-blind PBO run-in and post-randomization at nights (NT) 1/2 and NT29/30. Change from baseline (CfB) for H1-8 was analyzed using pooled t-tests. Results Between-group baseline wake was similar. On NT1/2 and NT29/30, CfB for LEM10 was significantly greater (less wake) than PBO for all hours except H4 NT29/30. On NT1/2 and NT29/30, CfB for LEM5 was significantly greater than PBO for all hours except H4 NT1/2 and NT29/30 and H8 NT1/2. On NT1/2 and NT29/30, CfB for LEM5 and LEM10 were significantly greater than ZOL during H1,2,7, and 8. CfB for ZOL was not significantly different than PBO except for H2-6 NT1/2 and H3,5,6 NT29/30; CfB for PBO was significantly greater (better) than ZOL during H1 NT29/30. Conclusion LEM improves total sleep time by decreasing wake time throughout the night after sleep onset compared to PBO, and at the beginning/end of the night compared to ZOL. These findings support that ZOL may be less effective in maintaining sleep during the last 2 hours of the night compared with LEM in older subjects, especially those with sleep maintenance difficulties. Support (if any) Eisai Inc.

An experimental investigation into soil–structure interactions of integral bridge abutments due to cyclic translations

Integral bridges are built without expansion joints to avoid many of the persistent issues with joint degradation and maintenance problems regularly experienced by traditional bridges. In the absence of expansion joints, the cyclic thermal displacements of the integral bridge would be transferred unmitigated by the joints to the abutment resulting in accentuated soil–structure interactions. Previous studies have mainly focussed on the rotational mode of integral abutment movement while the translational mode of movement and backfill deformations have received much less attention. This paper presents the results of laboratory tests conducted on a semiscale (1:2) physical model, which was designed using dimensional analysis to achieve field stress and strain similarity with a full-scale 1.92 m high-prototype integral abutment. The comparative effects from five tests covering low to high cyclic translation amplitude on backfill surface settlement and heave, and lateral earth pressures behind the abutment were investigated over assumed 120 seasonal cycles. Asymptotic settlement depth of the backfill was obtained in each test. Full passive failure surface was observed when the cyclic translation amplitude of the test exceeded the threshold amplitude. The findings also suggest that the settlement depth seemed to be linked to the development of passive failure surface in the following sense—the asymptotic settlement depth in those tests which developed full passive failure surface would attain the same (ultimate) asymptotic depth; conversely, when the passive failure surface had not or only partially developed in that test, the asymptotic settlement depth was dependent on the cyclic translation amplitude, but it was less than the ultimate observed for full passive failure surface. Lateral earth pressure only stabilized to an asymptotic state for the test with the lowest cyclic translation amplitude during the 120 cycles. Shakedown limit state was observed for this case. At larger cyclic translation amplitudes, the lateral earth pressure did not stabilize but continued to evolve with the elapsed cycles, and shakedown limit state was not observed for these cases.

Environmental Modeling and Traffic Simulation: A multivariate approach to monitor urban air pollutant agents.

This work presents an interdisciplinary assessment examining air quality tracking in urban environments. This application is well suited to be approached with wireless sensor networks' paradigm in their overall variations. The proposed modeling application takes advantage of Vehicle Sensor Networks (VSN) by embedding sensor nodes in public transportation, addressing this study case with bus lines so that the mobiles spread the sampling activity through many different places visited during the route. Simultaneously, it alleviates power management restrictions, packaging dimensions (size and weight), and general maintenance issues. We perform environmental modeling based on real data considering temporal and spatial multivariate behavior on observed phenomena. We consider the city of São Paulo in our case study and parse the asserted data to create a multivariate map of samples, showing the behavior of five different air pollutants from fossil-fueled vehicles (CO, O3, PM10, NO2 and SO2) simultaneously while it also varies in time. Furthermore, the experiment considers a detailed description of roads, bus lines, vehicle itineraries, and general traffic information. The input data that has unformatted or missing information due to being sourced from real sensors is handled to create the map mentioned above. Our methodology addresses the following: 1) the mentioned environmental simulation, 2) the deployment of mobile sensor nodes and performing sensing process, 3) the implementation of network activity and delivery of collected data, 4) visualization of monitored environment based on gathered data using Voronoi Diagrams to fill blank data at non-reached areas. Finally, our VSN-based approach improved 126 times lower error and 11 times higher coverage compared to conventional monitoring with air quality stations.

An Inexpensive, Reproducible Method to Quantify Activated Sludge Foaming Potential: Validation through Lab-Scale Studies and Year-Long Full-Scale Sampling Campaign.

Activated sludge is a conventional treatment process for biochemical oxygen demand (BOD) and total suspended solids (TSS) removal at water resource recovery facilities (WRRFs). Foaming events are a common operational issue in activated sludge and can lead to decreased treatment efficiency, maintenance issues, and potential environmental health risks. Stable foaming events are caused by biological and chemical drivers (i.e., microbes and surfactants) during the aeration process. However, foaming events are difficult to predict and quantify. We present an inexpensive and easy-to-use method that can be applied at WRRFs to quantify foaming potential. Subsequently, the method was applied over a year long full-scale study while data on microbial community composition and functional parameters associated with foaming potential were collected from activated sludge samples at South Shore Water Reclamation Facility (WRF) (Oak Creek, WI). Results from the development of the foaming potential method using linear alkylbenzene sulfonate (LAS) showed that the method was reproducible (relative standard deviation < 20%) and able to capture changes in foam inducing constituents. Using full-scale activated sludge samples, higher relative abundance values for the following genera were associated with foaming events: Zoogloea, Flavobacterium, Variovorx, and Bdellovibrio. This is the first report that Variovorx and Bdellovibrio relative abundance was correlated with foaming events in activated sludge. Furthermore, the foaming potential positively correlated (p ≤ 0.05) with soluble total nitrogen. Characterizing foaming events through frequent sampling, and monitoring of specific genera and functional parameters may allow for predictions and preemptive mitigation efforts to avoid negative consequences in the future.

Assessment of public building defects and maintenance practices: Cases in Mettu town, Ethiopia

Building flaws are one of the main aspects of building problems that need to be carefully considered. Besides the high demand for construction projects in Ethiopia, the problems of defective buildings and maintenance issues were so prevalent. According to the researchers' field survey, Mettu town's public buildings have suffered from major building defects and deterioration, and neglect of maintenance practices. This research aimed to assess building construction defects and maintenance practices in Mettu building projects. A case study and questionnaire survey were utilized for data collection. A Case study was conducted on a randomly selected nine public building projects in Mettu Town using site observation and formal checklists. Whereas, a questionnaire method was used to address the study objectives based on respondents' perspectives using ordinal scales of Likert's. The Spearman rank correlation coefficient, mean score, and weighted average values were utilized for data analysis using Microsoft Excel spreadsheet and SPSS version 20 tools. The study revealed that non-structural cracks were found the top first-ranked building defect. Shortage of budget, inadequate maintenance standards, and Poor maintenance cultures were the top-ranked building maintenance factors. Project delay, High maintenance cost, and diminishing reputation were the top-ranked impacts of building defects. Periodic and regular construction supervision and proper and periodic maintenance were the top measures to minimize building defects.

Performance Evaluation of Wastewater Treatment plant, Vidyaranyapuram, Mysuru

Background: The primary goal of sewage water treatment is to eliminate or bring down the number of pollutants in the sewage water. This study was needed to assess the efficacy of a sewage treatment plant in reducing contaminants levels to comply with government environmental standards. The wastewater re-use for irrigation approaches must be in compliance with the guidelines and indicators must be tracked and impended consistently, it is therefore essential to give top priority to requirements at the stage of evaluating and development to protect land and water supplies as well as public health. Methods: Chemical and biological approaches were used to regulate the removal efficiency of treatment plants. The performance and effectualness of the Vidyaranyapuram sewage treatment plant (STP) in Mysore are evaluated and analyzed in this report. Novelty: Water quality needs to be regularly checked in wastewater treatment facilities. The current study will aid the treatment facility in its efforts to enhance the process of treatment. One would be able to update the effluent efficiency levels depending on the seasonal variations in wastewater treatment as the assessment explains the number of water quality metrics in waste water plants. The obtained analysis results are very helpful in locating, fixing, and maintaining plant operating and maintenance issues, which may be helpful for next plant expansion to be carried out to get good results. Result: The STP's treatment efficiencies were discovered to have a good treatment level in BOD (96%) and a moderate treatment quality in COD (79%) and TSS (75%) removal efficiency during the year 2018. Conclusion: To ensure correct operation and maintenance, trained and experienced workers must analyze treatment performance at predetermined time intervals. The result explains the quality of effluent water and performance of treatment plant. STPs should be used to their full potential to manage the quality of final effluent, and raw sewage sources should be identified.

設備保全・維持管理技術のDX化と課題

上下水道事業は重要なインフラ基盤として大きく発展してきたが（図1（1）は上水道の例），近年，急速な施設老朽化や水需要の減少に伴う収益の伸び悩みなど，上下水道を取り巻く環境は急速に変化している。加えて団塊世代のベテラン技術職員退職による運転・保全ノウハウの喪失が問

A tool-based system architecture for a digital twin: a case study in a healthcare facility

Changes in the local and global markets are forcing A/E/C/FM (Architecture, Engineering, Construction, and Facility Management) organizations to deliver more robust and innovative operational BIMs (Building Information Models). It is hypothesized that BIMs will transform from a static 3D model to a Digital Twin providing a truly digital representation of the physical asset or the building it represents. This transformation to a dynamic Digital Twin will allow the A/E/C/FM industry to visualize, monitor, and optimize operational assets and processes to support better inspection and analysis for a more efficient facility operations and maintenance. To support the adoption and implementation of Digital Twin in A/E/C/FM, the authors have defined two clear objectives. First, we discuss requirements for a functionality-based canonical architecture to create a digital twin followed by proposing two tool-based system architecture options for its implementation. Second, we use a case study approach to develop a proof-of-concept Digital Twin of an operating room in a healthcare facility using Power BI Desktop and Azure Services. The prototype aims to monitor room air quality as per INAIL (National Institute for Insurance against Accidents at Work) and ISO (International Organization for Standards) standards. Multiple sensors connected to a Raspberry Pi 4 are used to capture real-time data for various air quality parameters including temperature, humidity, airflow, particulate contamination, and Nitrous Oxide (N2O) gas. Multiple dashboards are also created to visualize, monitor, and analyze the data harnessed from the OR sensors. The implementation addresses critical issues including security, data storage, visualization, processing, data streaming, collection, and analysis. As an initial validation, the Digital Twin prototype was presented and discussed with a healthcare BIM manager. Initial feedback from the industry expert indicated that the prototype could decrease the required time to respond to facility maintenance issues such as decreased air flow due to possible obstructions.

Zwitterionic poly(sulfobetaine methacrylate)-based hydrogel coating for drinking water distribution systems to inhibit adhesion of waterborne bacteria.

Presence of biofilms in drinking water distribution systems (DWDS) can be a nuisance, leading to several operational and maintenance issues (i.e., increased secondary disinfectants demand, pipe damage or increased flow resistance), and so far, no single control practice was found to be sufficiently effective. Here, we propose poly (sulfobetaine methacrylate) (P(SBMA))-based hydrogel coating application as a biofilm control strategy in DWDS. The P(SBMA) coating was synthetized through photoinitiated free radical polymerization on polydimethylsiloxane with different combinations of SBMA as a monomer, and N, N'-methylenebis (acrylamide) (BIS) as a cross-linker. The most stable coating in terms of its mechanical properties was obtained using 20% SBMA with a 20:1 SBMA:BIS ratio. The coating was characterized using Scanning Electron Microscopy, Energy Dispersive X-Ray Spectroscopy, and water contact angle measurements. The anti-adhesive performance of the coating was evaluated in a parallel-plate flow chamber system against adhesion of four bacterial strains representing genera commonly identified in DWDS biofilm communities, Sphingomonas and Pseudomonas. The selected strains exhibited varying adhesion behaviors in terms of attachment density and bacteria distribution on the surface. Despite these differences, after 4h, presence of the P(SBMA)-based hydrogel coating significantly reduced the number of adhering bacteria by 97%, 94%, 98% and 99%, for Sphingomonas Sph5, Sphingomonas Sph10, Pseudomonas extremorientalis and Pseudomonas aeruginosa, respectively, compared to non-coated surfaces. These findings motivate further research into a potential application of a hydrogel anti-adhesive coating as a localized biofilm control strategy in DWDS, especially on materials known to promote excessive biofilm growth.