Initial Step Research Articles

A Straightforward Method for the Generation of Hyperpolarized Orthohydrogen with a Partially Negative Line

AbstractThe hydrogen molecule, which exists in two spin isomers (ortho‐ and parahydrogen), is a highly studied system due to its fundamental properties and practical applications. Parahydrogen is used for Nuclear Magnetic Resonance signal enhancement, which is hyperpolarization of other molecules, including biorelevant ones. Hyperpolarization can be achieved by using Signal Amplification by Reversible Exchange (SABRE). SABRE can also convert parahydrogen into orthohydrogen, and surprisingly, in some cases, it has been discovered that orthohydrogen's resonance has the Partially Negative Line (PNL) pattern. Here, an approach for obtaining orthohydrogen with a PNL signal is presented for two catalysts: Ir−IMes, and Ir−IMesBn. The type of solvent in which SABRE is conducted is crucial for the observation of PNL. Specifically, a PNL signal can be easily generated in benzene using both catalysts, but it is more intense for Ir−IMesBn. In acetone, PNL is observed only for Ir−IMesBn. In methanol, no PNL is detected. The PNL effect is only detectable during the initial steps of pre‐catalyst activation, and disappears as the activation process progresses. We have proposed a working hypothesis that explains our results. The presented data may facilitate the further investigation of PNL and its applications in material science and catalysis.

AI will change EA practice – but are we ready for it? A call for discussion based on developments in collecting and processing biodiversity data

ABSTRACT The opportunities and potential of advanced digitalisation involving the application of Artificial Intelligence (AI) in Environmental Assessment (EA) are often mentioned across international studies. However, it is essential for us in EA research and practice to comprehensively grasp the implications of this transformation and proactively prepare for the imminent changes. In this context and drawing on insights from biological sciences, this letter examines the established use, prospects and risks of these technological advances in the field of species, habitat and biodiversity related data and its analysis. We aim to initiate a thought-provoking dialogue across diverse groups of EA actors regarding the practical implications of AI for EA, highlighting new roles and evolving skills needed to guarantee quality and legal compliance. Central to this discussion is the origination of data, alongside the distribution of responsibilities across actors/stakeholders involved in EA with regard to data collection, sharing and interpretation. Key considerations regard the quality and integrity of AI-supported and systematically collected data and the prevention of potential manipulation. We emphasise the need to re-evaluate education and training programs, adapt practices, and enhance decision-making processes as initial steps toward establishing a focused research agenda.

Coagulative removal of polystyrene microplastics from aqueous matrices using FeCl3-chitosan system: Experimental and artificial neural network modeling

Effluent from sewage treatment plants (STPs) is a significant source of microplastics (MPs) re-entry into the environment. Coagulation-flocculation-sedimentation (CFS) process as an initial tertiary treatment step requires investigation for coagulative MPs removal from secondary-treated sewage effluents. In this study, experiments were conducted on synthetic water containing 25 mg/L polystyrene (PS) MPs using varying dosages of FeCl3 (1–10 mg/L) and chitosan (0.25–9 mg/L) to assess the effect of process parameters, such as pH (4−8), stirring speed (0–200 rpm), and settling time (10–40 min). Results revealed that ∼89.3% and 21.4% of PS removal were achieved by FeCl3 and chitosan, respectively. Further, their combination resulted in a maximum of 99.8% removal at favorable conditions: FeCl3: 2 mg/L, chitosan: 7 mg/L, pH: 6.3, stirring speed: 100 rpm, and settling time: 30 min, with a statistically significant (p < 0.05) effect. Artificial neural network (ANN) validated the experimental results with RMSE = 1.0643 and R2 = 0.9997. Charge neutralization, confirmed by zeta potential, and adsorption, ascertained by field-emission scanning electron microscope (FESEM) and Fourier-transform infrared spectroscopy (FTIR), were primary mechanisms for efficient PS removal. For practical considerations, the application of the FeCl3-chitosan system on the effluents from moving bed biofilm reactor (MBBR) and sequencing batch reactor (SBR)-based STPs, spiked with PS microbeads, showed > 98% removal at favorable conditions.

The Impact Of ESG Techniques On ROIC And EPS For Manufacturing Firms: Research From Listed Companies In India

Companies that are publicly traded worldwide are shifting their focus away from maximizing short-term profits to achieving long-term environmental, social, and governance (ESG) objectives. The growing importance of environmental sustainability concerns is now recognized by most business leaders. They have started to believe that an organization's financial health and reputation in the marketplace may be affected by this. A study recently concluded that companies that have strong ESG performance may be able to enhance their financial performance. The question of how ESG affects financial performance has received little attention in India. Our study examines the link between ESG operations and financial indices in India's publicly traded firms by analyzing dynamic and static panel data. Our initial step is to gather financial data from Bloomberg and preprocess it using descriptive statistics. The consequence of ESG variables on the financial performance of the manufacturing companies during 2018 to 2022 was investigated. The analysis was done based on 701 BSE manufacturing companies’ year-wise data. The independent variable is the ESG scores; the dependent variables are performance indicators, i.e., Return on Invested Capital (ROIC) and Earnings per share (EPS). The control variable that is employed: Firm size. &#x0D; The empirical findings indicate that ESG doesn’t have a substantial positive impact on performance. However, the relationship between ESG disclosures do vary if measured individually; the disclosures are found putting positive effect on ROIC but EPS. &#x0D; Financial performance may be improved through ESG activities, which could have an impact on investors, business administrators, decision-makers, and industry regulations.

Computational evaluation of zirconocene catalysts for ε-caprolactone cationic ring-opening polymerization

This quantum chemical study presents the ligand effect and a structure–property relationship in the cationic ring-opening polymerization (CROP) of ε-caprolactone using zirconocene catalysts. We first examined the effects of catalyst structure on the initiation and chain propagation steps of the CROP process. A total of 54 catalyst structures were investigated to understand the influence of the ligand structure on the stability of the catalyst–monomer complex and polymerization activity. The properties of the catalysts were analyzed in terms of ancillary ligands, ligand substituents, and bridging units. Calculations showed that the polymerization follows a proposed cationic mechanism, with ring opening occurring via alkyl-bond cleavage. A correlation between complex stability and activation energy was also observed, with ligand substituents dominating in both steps. While the ancillary ligands directly affect the HOMO energy level, the bridges are mainly responsible for the catalyst geometries, resulting in reduced complex stability and higher activation energy for the propagation step. This study contributes to a better understanding of the structural characteristics of zirconocene catalysts, which offers guidance for improving CROP activities in lactone polymerization.

Role of PATJ in stroke prognosis by modulating endothelial to mesenchymal transition through the Hippo/Notch/PI3K axis

Through GWAS studies we identified PATJ associated with functional outcome after ischemic stroke (IS). The aim of this study was to determine PATJ role in brain endothelial cells (ECs) in the context of stroke outcome. PATJ expression analyses in patient’s blood revealed that: (i) the risk allele of rs76221407 induces higher expression of PATJ, (ii) PATJ is downregulated 24 h after IS, and (iii) its expression is significantly lower in those patients with functional independence, measured at 3 months with the modified Rankin scale ((mRS) ≤2), compared to those patients with marked disability (mRS = 4–5). In mice brains, PATJ was also downregulated in the injured hemisphere at 48 h after ischemia. Oxygen-glucose deprivation and hypoxia-dependent of Hypoxia Inducible Factor-1α also caused PATJ depletion in ECs. To study the effects of PATJ downregulation, we generated PATJ-knockdown human microvascular ECs. Their transcriptomic profile evidenced a complex cell reprogramming involving Notch, TGF-ß, PI3K/Akt, and Hippo signaling that translates in morphological and functional changes compatible with endothelial to mesenchymal transition (EndMT). PATJ depletion caused loss of cell-cell adhesion, upregulation of metalloproteases, actin cytoskeleton remodeling, cytoplasmic accumulation of the signal transducer C-terminal transmembrane Mucin 1 (MUC1-C) and downregulation of Notch and Hippo signaling. The EndMT phenotype of PATJ-depleted cells was associated with the nuclear recruitment of MUC1-C, YAP/TAZ, β-catenin, and ZEB1. Our results suggest that PATJ downregulation 24 h after IS promotes EndMT, an initial step prior to secondary activation of a pro-angiogenic program. This effect is associated with functional independence suggesting that activation of EndMT shortly after stroke onset is beneficial for stroke recovery.

Cryptocurrency Turmoil: Unraveling the Collapse of a Unified Stablecoin (USTC) through Twitter as a Passive Sensor.

This study sought to explore whether Twitter, as a passive sensor, could have foreseen the collapse of the Unified Stablecoin (USTC). In May 2022, in just a few days, the cryptocurrency went to near-zero valuation. Analyzing 244,312 tweets from 89,449 distinct accounts between April and June 2022, this study delved into the correlation between personal sentiments in tweets and the USTC market value, revealing a moderate correlation with polarity. While sentiment analysis has often been used to predict market prices, the results suggest the challenge of foreseeing sudden catastrophic events like the USTC collapse solely through sentiment analysis. The analysis uncovered unexpected global interest and noted positive sentiments during the collapse. Additionally, it identified events such as the launch of the new Terra blockchain (referred to as "Terra 2.0") that triggered positive surges. Leveraging machine learning clustering techniques, this study also identified distinct user behaviors, providing valuable insights into influential figures in the cryptocurrency space. This comprehensive analysis marks an initial step toward understanding sudden and catastrophic phenomena in the cryptocurrency market.

Windcatchers as a Green Ventilation Device: A Lost Tale From Hyderabad, Sindh, Pakistan

The rapid urbanization process is majorly associated with extreme climate change and many other urban issues that pose new challenges in terms of urban resilience. Bold climate action is one of the main principles addressed by UN-Habitat in Sustainable Development. This problem demands an immediate reduction in carbon footprints. One way of doing this is to revive the traditional climate-controlling techniques/natural ventilation methods in architecture. Windcatchers have been used as a passive technique for ventilation for many centuries. The windcatchers of Hyderabad (Mangh/Hawadani/Badgeers/Malqaf) were a dominant identity of vernacular architecture. This article aims to understand the traditional methods of dealing with climate-controlling techniques in architecture by (1) studying windcatchers in both vernacular and modern buildings in the context of Hyderabad, Sindh, Pakistan by (2) understanding the user’s perspective about windcatchers. A comparison of four buildings in Hyderabad, Pakistan, was performed. The findings of this study show that old Windcatchers in Hyderabad are in dilapidated condition and are found insignificant because they are not fulfilling the current needs of the users looking for modernized solutions. However, newly built windcatchers are well appreciated by users because of their well-functioning mechanism in relation to the local climate and current living requirements. The performance study of windcatchers conducted in this research represents an initial step towards developing a more extensive guide for utilizing windcatchers in passive cooling systems for buildings located in hot regions.

Reburials of Eminent Masters: The Construction of Quanzhen Daoist Lineages in North China under Mongol Rule

Abstract Burials of eminent Quanzhen masters, particularly in the form of extravagant assembly-funerals, served as the initial step in the development of a Quanzhen-style ancestor worship. This ancestor worship functioned as the bedrock of a thriving Quanzhen lineage-building movement in thirteenth-century north China. Quanzhen Daoists attributed great significance to the physical remains of a lineage's founding master and commonly conducted multiple burials of the master. Each instance of reburial presented an opportunity for specific lineage members to assert their lineage identity, as well as ownership over the founding master's spiritual and material legacy. Lineage members commonly materialized their ancestor worship through a series of memorial objects established within a hosting monastery, including tombs, statues, portraits, memorial shrines, and commemorative steles. These lineage-building efforts strengthened dynamic networks of people, monasteries, and material culture, shaping regional interactions and transformations in north China under Mongol rule.

Demographic and Clinical Characteristics of Refugee Children Utilizing Healthcare Services of Türkiye (2021-2022): A Single-Centre Study

BACKGROUND: The number of refugees in the world has been increasing due to ongoing wars, political instability, violence, poverty and climate change. Türkiye has the world’s largest refugee population and half of the refugees are children. The aim of this study is to describe healthcare utilization patterns of the pediatric refugee population admitted to emergency, outpatient and inpatient services to enable hospitals to be better prepared to treat large numbers of refugee children. METHODS: This was a retrospective observational study using data from medical records of refugee children who had visited the _University of Health Sciences Sancaktepe Training and Research Hospital_, Istanbul, in pediatric emergency, outpatient and inpatient services between 1 June 2021 and 1 June 2022. RESULTS: 4383 refugee children including emergency (81.9%), outpatient (15.1%) and inpatient clinics (3%) were analyzed. The most frequently seen diseases for each service were upper respiratory infection and gastroenteritis in emergency; vitamin D deficiency and malnutrition in outpatient; lower respiratory infection, fever and intoxication in inpatient services. Most of the visits were non-urgent visits. COVID-19 disease was found in 1.3% of all children. CONCLUSION: Up to now, there is little data available on the health status of these pediatric refugees. This study demonstrates that refugee children’s visits to the Emergency Department (ED) are an initial first step for accessing healthcare. Identifying the reasons for non-emergency ED use might provide additional insights and new approaches to help serve the healthcare needs of this vulnerable population.

Facile Preparation of TICT@MOF Solids with Unprecedented PL Quantum Yields

AbstractLuminescent solids exhibit unique optical and electronic properties, and it is important to develop a simple experimental procedure to reduce the mass of weakly emissive hybrid inorganic–organic solids. The instant mixing of (1‐cyano‐2‐[α‐terthiophen‐2‐yl]‐vinyl)carboxylic acid (3TCC) and a metal–organic framework (MOF‐177; ZnO4(BTB)2; BTB = 1,3,5‐benzenetribenzoate) in an organic solvent, followed by evaporation of the solvent, produces solids with distinct photoluminescence (PL) properties, turning over the PL quantum yields (PLQY) of the generated 3TCC@MOF‐177 solids by 2‐ to 40‐fold compared to the 3TCC solution is demonstrated. The new solids are characterized by various methods and optical measurements. Contrarily to the trend in the photophysical results of 3TCC solutions, the anisotropic rotational times of 3TCC@MOF‐177 solids inversely correlate with the corresponding PLQY values depending on the protic solvent used in the initial preparation step in the following order: methanol&gt;ethanol&gt;butanol. This behavior is attributed to the complexation of 3TCC dye with metal clusters within the pores of MOF‐177 and hydrogen bonding of the CN group in the dye with the OH group in the linkers. These factors interplay with the kinetics of dye twisting. These observations reflect the potential of new solid luminescent architectures with remarkable PLQY that can be easily manufactured.

Determinants of employees’ willingness to seek help from robots

A common problem in top-down technology projects is lack of end-user involvement. Employees’ willingness to seek help from robots in internal service scenarios is important for the successful implementation of service robots in the hospitality industry. This study conducts individual in-depth interviews to propose a model regarding the determinants of employees’ willingness to seek help from robots. Findings indicate that robots’ characteristics (i.e., their relative advantages, functions, and appearance) and employees’ characteristics (i.e., their help-seeking needs, their psychological defenses, availability of helpers, demographics, and exposure to working with robots) are important determinants of employees’ willingness to seek help from robots. Robots’ characteristics increase employees’ perceived benefits, which leads to employees’ willingness to seek help from robots. Moreover, robots’ appearance influences employees’ perceived psychological distance and employee–robot fit, which influence employees’ willingness to seek help. This study provides an initial step for understanding the reasons that employees are willing to seek help from robots.

Mesencephalic Locomotor Region and Presynaptic Inhibition during Anticipatory Postural Adjustments in People with Parkinson's Disease.

Individuals with Parkinson's disease (PD) and freezing of gait (FOG) have a loss of presynaptic inhibition (PSI) during anticipatory postural adjustments (APAs) for step initiation. The mesencephalic locomotor region (MLR) has connections to the reticulospinal tract that mediates inhibitory interneurons responsible for modulating PSI and APAs. Here, we hypothesized that MLR activity during step initiation would explain the loss of PSI during APAs for step initiation in FOG (freezers). Freezers (n = 34) were assessed in the ON-medication state. We assessed the beta of blood oxygenation level-dependent signal change of areas known to initiate and pace gait (e.g., MLR) during a functional magnetic resonance imaging protocol of an APA task. In addition, we assessed the PSI of the soleus muscle during APA for step initiation, and clinical (e.g., disease duration) and behavioral (e.g., FOG severity and APA amplitude for step initiation) variables. A linear multiple regression model showed that MLR activity (R2 = 0.32, p = 0.0006) and APA amplitude (R2 = 0.13, p = 0.0097) explained together 45% of the loss of PSI during step initiation in freezers. Decreased MLR activity during a simulated APA task is related to a higher loss of PSI during APA for step initiation. Deficits in central and spinal inhibitions during APA may be related to FOG pathophysiology.

Innovative Anodic Treatment to Obtain Stable Metallic Silver Micropatches on TiO2 Nanotubes: Structural, Electrochemical, and Photochemical Properties.

Electrochemical modification of the Ti surface to obtain TiO2 nanotubes (NT-Ti) has been proposed to enhance osseointegration in medical applications. However, susceptibility to microbial adhesion, linked to biomaterial-associated infections, and the high TiO2 band gap energy, which allows light absorption almost exclusively in the ultraviolet (UV) region, limit its applications. Modifying the TiO2 semiconductor with metals such as Ag has been suggested both for antimicrobial purposes and for absorbing light in the visible region. The formation of NT-Ti with Ag micropatches (Ag-NT-Ti) is pursued with the objective of enhancing the stability of the deposits and preventing cytotoxic levels of Ag cellular uptake. The innovative process proposed here involves immersing NT-Ti in a AgNO3 solution as the initial step. Diverging from previously reported electrochemical methods, this process incorporates anodization within the TiO2 oxide formation region instead of cathodic reduction generally employed by other researchers. The final step encompasses an annealing treatment. The treatments result in the in situ Ag1+ reduction and formation of stable and active micropatches of metallic Ag on the NT-Ti surface. Scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), Raman, diffuse reflectance spectroscopy (DRS), wettability assessment, and electrochemical characterizations were conducted to evaluate the modified surfaces. The well-known properties of NT-Ti surfaces were enhanced, leading to improved photocatalytic activity across both visible and UV regions, significant stability against detachment, and controlled release of Ag1+ for promising antimicrobial effects.

AFM-NSOM Nano-Polarimeter: Wide-ranging sensing device for synchronized scanning

This paper explores the use of an enhanced AFM-NSOM system tip as a nanoscale polarimeter. The tip consists of a tungsten-silicon conical photodetector modified with four differently-shaped subwavelength apertures, which enable the determination of incident light's four Stokes parameters and in turn its polarization state on the Poincaré sphere. The system is mounted on a standard Atomic Force Microscope (AFM) cantilever and can serve as a triple-mode scanning system, with complementary topography scanning, optical data analysis, and polarization state detection. The device was designed and simulated using the Comsol Multi-Physics software package, and initial steps toward fabrication were taken using the application of advanced nanotechnology tools to a commercial AFM probe. After a discussion of the advantages and drawbacks of drilled scanning tips vis-a-vis standard ones, the article presents the simulation and fabrication results of the nano-polarimeter tip.

Unraveling metabolic fate of a veterinary antibiotic thiamphenicol via the multi-omic approach

Thiamphenicol (TAP), a typical veterinary antibiotic, is emerging as a contaminant in livestock, poultry, and aquaculture environments. Addressing this concern, this study domesticated a TAP-degrading consortium in a lab-scale activated sludge bioreactor, demonstrating efficient degradation of up to 200 mg/L TAP within 50 h and elimination of antimicrobial activity. The microbial compositions, cross-feeding interactions, and underlying metabolic mechanisms were unveiled through multi-omics. TAP was modified at two hydroxyl groups for the initial step in three pathways including oxidation at C3-OH, dehydrogenation at both C1-OH and C3-OH, and acetylation at C3-OH. Hydrogenophaga (MAG1 and MAG2) and Bosea (MAG9) were implicated in oxidation and acetylation of TAP, respectively. Aromatic compounds and 2,2-dichloroacetic acid (DCA) were the principal downstream metabolites of TAP. MAG9 (Bosea), MAG10 (Rubrivivax), and MAG13 (Hyphomicrobium) were predicted as DCA degraders, while MAG4 (Xanthobacteraceae, Ga0077548) and MAG10 (Rubrivivax) conducted the catabolism of aromatic compounds. Therefore, consortium members collaborated to efficiently reduce and detoxify TAP. Furthermore, the co-metabolism of TAP and extracellular substrates supported the microbial populations’ growth. Genomic traits and transcriptional profiles suggested that the dominant Hydrogenophaga (MAG1) could store carbon and nitrogen by synthesizing cyanophycin and polyhydroxybutyrate biopolymers. Ultimately, this comprehensive understanding of TAP biodegradation will aid in formulating efficient biotreatment strategies for TAP-contaminated environments.

Gentlemen, you can't fight in here. Or can you?: How cyberspace operations impact international security

AbstractThe military now views cyberspace as a new warfare domain, with constant cyber operations potentially causing significant consequences. Internationally, countries are heavily involved in cyberspace, but international law lags behind this evolution, raising questions about its application and retaliation measures. This article investigates international law in cyberspace and cyber operations in warfare and terrorism, exploring recent calls for increased legislation. The impact of cyberspace nonregulation on international security is examined from both positive and negative perspectives. It argues that solving anonymity and attribution issues requires state collaboration, with an initial step of cooperation against cyber‐terrorism. The conclusion emphasizes the necessity of cyberspace regulation and legislation for international and national security, offering a starting point for discussion.

Biochemical profile of patients in ketosis-prone diabetes state in Côte d’Ivoire

: Diabetes keto-acidosis is the most serious hyperglycemic emergency in patients with diabetes. DKA has long been considered a key clinical feature of T1D. In this study, we assessed biochemical disorders focused on lipid and renal parameters in KPD.: We carried out a case-controls study for one year, encompassing 200 participants in total. Patients were outpatients newly diagnosed diabetics attending for the first time hospitals, controls were no-ketosis participants. Blood samples were taken, after 10 to 12 hours of fasting from the day before, in different tubes for each intended analyses according to instructor’s recommendation. The increased mean value of fasting blood glucose together with HbA1c are corrolated with ketonuria. As regard to cardio-metabolic risk, ketosis-prone patients were at greater risk than no-ketosis controls The mean AIP value was higher in KPD women than in men, with no significant statistical correlation. Uremia and creatininemia, two kidney parameters commonly prescribed to explore glomerular filtration, were correlated with some social indicators. The mean values of these both parameters increased significantly with age in KPD group. Creatinine increased significantly with age in patients, in line with glomerular filtration rate (GFR). The older the participants, the higher the mean values of these parameters. : These biochemical parameters, high atherogenic index and lower glomerular filtration rate, documented in our study, must be sought out when inaugural ketosis is suspected for improving the clinical prognosis of patients in the initial step of management.

Phase measuring deflectometry for convex aspheric surface measurement.

This paper introduces what we believe to be a novel approach to accurately measure the shape of convex aspherical surfaces with large slope gradients. This approach employs a pre-distortion system to enhance the visibility of the structured light pattern that is captured by camera. The data processing involves iterative methods to obtain surface shape data. The initial step in the experimental calibration involves establishing a reference plane, which serves as the starting point for the iterative process. The calculation for slope is subsequently utilized to determine the initial slope of the surface under test, and the height of the tested element is derived by integrating these slopes. Through multiple iterations and continuous updating of the surface height, the precise and authentic true surface height is ultimately achieved. The method's accuracy is assessed through the measurement of a highly steep convex aspherical area with a diameter of 5.2mm and a radius of curvature of approximately 7.7mm. The proposed method demonstrates root mean square accuracy that can reach half a wavelength when compared to the measurement results obtained from high-precision profilers.

Superwettable surfaces and factors impacting microbial adherence in microbiologically-influenced corrosion: a review.

Microbiologically-influenced corrosion (MIC) is a common operational hazard to many industrial processes. The focus of this review lies on microbial corrosion in the maritime industry. Microbial metal attachment and colonization are the critical steps in MIC initiation. We have outlined the crucial factors influencing corrosion caused by microorganism sulfate-reducing bacteria (SRB), where its adherence on the metal surface leads to Direct Electron Transfer (DET)-MIC. This review thus aims to summarize the recent progress and the lacunae in mitigation of MIC. We further highlight the susceptibility of stainless steel grades to SRB pitting corrosion and have included recent developments in understanding the quorum sensing mechanisms in SRB, which governs the proliferation process of the microbial community. There is a paucity of literature on the utilization of anti-quorum sensing molecules against SRB, indicating that the area of study is in its nascent stage of development. Furthermore, microbial adherence to metal is significantly impacted by surface chemistry and topography. Thus, we have reviewed the application of super wettable surfaces such as superhydrophobic, superhydrophilic, and slippery liquid-infused porous surfaces as "anti-corrosion coatings" in preventing adhesion of SRB, providing a potential avenue for the development of practical and feasible solutions in the prevention of MIC. The emerging field of super wettable surfaces holds significant potential for advancing efficient and practical MIC prevention techniques.