Solute Transport Research Articles

Visualization Experiment on the Influence of the Lost Circulation Material Injection Method on Fracture Plugging

The drilling fluid loss or lost circulation via near-wellbore fractures is one of the most critical problems in the drilling of deep oil and gas resources, which causes other problems such as difficulty in achieving wellbore pressure control and reservoir damage. The conventional treatment is to introduce granular lost circulation material (LCM) into the drilling fluid to plug the fractures. As the migration mechanism of the LCM in irregular fractures has not been completely figured out as of yet, the low success rate of fracture plugging and repeated drilling fluid loss still obstruct the exploitation of deep oil and gas resources. In this paper, the spatial data of actual rock fracture surfaces were obtained through structured light scanning, and an irregular surface identical to the rock was machined on a transparent polymethyl methacrylate plate. On this basis, a visualization experimental apparatus for fracture plugging was established, and the fracture flow space of this device was consistent with that of the actual rock fracture. Employing cylindrical nylon particles as LCM, a visualization experiment study was carried out to investigate the process of LCM bridging and fracture plugging and the influence of LCM injection methods. The experimental results show that the process of fracture plugging includes the sporadic bridging, plugging zone extension and merging, thickening of the plugging zone and complete plugging of the fracture. It was observed in the visualization experiment that a large number of small particles flow deep into the fracture in the traditional fracture plugging method, where all types and sizes of LCM are injected at one time. After changing the injection sequence, which injects the large particles first and the small particles subsequently, it is found that the large particles will form single-particle bridging at a specific depth of the fracture, intercepting subsequently injected particles and thickening the plugging zone, which finally increases the area of the plugging zone by 19%. The visualization experiment results demonstrate that modifying the LCM injection method significantly enhances both the LCM utilization rate and the fracture plugging effect, thereby reducing reservoir damage. This is conducive to reducing the drilling cost of fractured formation. Additionally, the visualized experimental approach introduced in this study can also benefit other research areas, including proppant placement and solute transport in rock fractures.

COUNTERPRODUCTIVE WORK BEHAVIOR: PENGARUH JOB DEMAND DAN KNOWLEDGE MANAGEMENT

The study highlights the impact of job demand and knowledge management in the company towards the counterproductive work behavior of drivers and co-drivers in a bus company. Conducted at PT Gunung Harta Transport Solutions, Malang, Indonesia, the research involved 79 bus crew consists of drivers and co-driver that are selected through simple random sampling from a population of 382 crew. Data for the research were collected via questionnaire and analyzed using the Structural Equation Model Partial Least Square (SEM-PLS) method. The result reveal that knowledge management had a significant negative impact towards counterproductive work behavior and that job demand positively and significantly influence counterproductive work behavior. These findings can be valuable for human resource management to manage and mitigate employee’s counterproductive work behavior with the help of a good knowledge management and the right amount of job demand.

A Proposed mHealth Intervention to Address Patient Barriers to Colposcopy Attendance: Qualitative Interview Study of Clinic Staff and Patient Perspectives.

Cervical cancer disparities persist among minoritized women due to infrequent screening and poor follow-up. Structural and psychosocial barriers to following up with colposcopy are problematic for minoritized women. Evidence-based interventions using patient navigation and tailored telephone counseling, including the Tailored Communication for Cervical Cancer Risk (TC3), have modestly improved colposcopy attendance. However, the efficacious TC3 intervention is human resource-intense and could have greater reach if adapted for mobile health, which increases convenience and access to health information. This study aimed to describe feedback from clinic staff members involved in colposcopy processes and patients referred for colposcopy regarding adaptions to the TC3 phone-based intervention to text messaging, which addresses barriers among those referred for colposcopy after abnormal screening results. Semistructured depth qualitative interviews were conducted over Zoom [Zoom Communications, Inc] or telephone with a purposive sample of 22 clinic staff members (including clinicians and support staff members) and 34 patients referred for colposcopy from 3 academic obstetrics and gynecology (OB-GYN) clinics that serve predominantly low-income, minoritized patients in different urban locations in New Jersey and Pennsylvania. Participants were asked about colposcopy attendance barriers and perspectives on a proposed text message intervention to provide tailored education and support in the time between abnormal cervical screening and colposcopy. The analytic team discussed interviews, wrote summaries, and consensus-coded transcripts, analyzing output for emergent findings and crystallizing themes. Clinic staff members and patients had mixed feelings about a text-only intervention. They overwhelmingly perceived a need to provide patients with appointment reminders and information about abnormal cervical screening results and colposcopy purpose and procedure. Both groups also thought messages emphasizing that human papillomavirus is common and cervical cancer can be prevented with follow-up could enhance attendance. However, some had concerns about the privacy of text messages and text fatigue. Both groups thought that talking to clinic staff members was needed in certain instances; they proposed connecting patients experiencing complex psychosocial or structural barriers to staff members for additional information, psychological support, and help with scheduling around work and finding childcare and transportation solutions. They also identified inadequate scheduling and reminder systems as barriers. From this feedback, we revised our text message content and intervention design, adding a health coaching component to support patients with complex barriers and concerns. Clinic staff members and patient perspectives are critical for designing appropriate and relevant interventions. These groups conveyed that text message-only interventions may be useful for patients with lesser barriers who may benefit from reminders, basic educational information, and scheduling support. However, multimodal interventions may be necessary for patients with complex barriers to colposcopy attendance, which we intend to evaluate in a subsequent trial.

Rock strength and stress dependence of local flow-path connectivity within faults or fractures: a preliminary overview of virtual and in-situ hydraulic tests

Abstract Global flow path connectivity along faults or fractures depends on the degree of local flow path connectivity within each fault or fracture and is a key control of groundwater flow and solute transport. However, the mechanical controls on spatial variations in local flow path connectivity within individual faults or fractures are poorly understood. Local flow path connectivity is quantifiable by the laboratory-scale flow dimensions (n lab) within individual faults or fractures, with a lower n lab indicating lower local flow path connectivity. Virtual hydraulic tests were performed on modeled individual fractures to derive a relationship between n lab and a mappable indicator, the ductility index (DI), defined by the mean stress, groundwater pressure, and rock tensile strength. The derived relationship was verified with data obtained from in-situ hydraulic tests of natural faults in rocks with low matrix permeability, poor swelling capacity, and few fracture mineral fillings, also incorporating the effect of linkage among faults in the field. The test results demonstrated that local flow path connectivity within faults or fractures can be high (n lab > 1.5) when DI < 2 but is generally low (n lab < 1.5) when DI > 2, depending on the level of effective-normal-stress-dependent (DI-dependent) fracture-normal displacement. This relationship between n lab and DI is valid even when the value of DI is varied, or the faults are sheared. These findings can be used to help map spatial variations in local flow path connectivity within faults or fractures from limited borehole data.

Impact of driving characteristic parameters and vehicle type on fuel consumption and emissions performance over real driving cycles.

With the growing need for sustainable transportation solutions, understanding the relationship between driving characteristic parameters, vehicle type, and their impact on emissions and fuel consumption over real driving scenarios is becoming increasingly important. In this paper, four conventional vehicles and one hybrid vehicle with different technologies were compared in four distinct routes in Tehran city. Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. The vehicles were simulated on MATLAB/Simulink according to their specifications. Twelve driving characteristic parameters, fuel consumption, CO, NOx, HC, and CO2 of vehicles with different powertrains, engines, and body styles were calculated over real and standard driving cycles. Notable findings show that driving characteristic parameters exhibit distinct influences on fuel consumption and emissions, depending on the specific driving conditions and vehicle type. Additionally, the hybrid vehicle achieved 39% and 26% fuel savings compared to gasoline and dual fuel vehicles, respectively. However, it emitted significantly higher levels of CO and HC. In contrast, the turbocharged vehicle increased CO and HC emissions compared to the naturally aspirated vehicle, but consumed less fuel (approximately 6%) and emitted lower amounts of CO2 (approximately 19%). In real driving cycles, the sedan vehicle generally exhibited slightly lower values compared to petrol SUV due to lower weight and drag coefficient.

A study on the effects of dispersion coefficient on groundwater pollutant transport simulation.

A comprehensive scientific analysis of temporal and spatial fluctuations of pollutants during the migration of groundwater is essential for precisely predicting their dispersion patterns and promoting rational regional development planning. In this research paper, a field radial dispersion test was conducted in decentralized drinking water sources downstream of the Fu Tuan River basin in Rizhao City, Shandong Province, China (FRSC). Chloride ion (Cl-) solution was utilized as a tracer for the experiment. The longitudinal dispersion coefficient ( ) was determined by standard curve matching and using straight-line graphical methods. Additionally, the impact of on pollutant transport was investigated by creating the MT3DMS solute transport model with the help of GMS 10.4 software. The results indicate that the of the submerged aquifer varies depending on the distance from the source well in the main runoff direction. At distances of 10 and 15m, the values of were observed to be 0.56m and 0.88m, respectively. Moreover, when these observed values of are used as simulation parameters in solute transport modeling on the same space-time scale, the hydrodynamic dispersion effect exhibited by the well is found to be weaker than the actual hydrodynamic dispersion effect.

DYRK1A-TGF-β signaling axis determines sensitivity to OXPHOS inhibition in hepatocellular carcinoma.

Intervening in mitochondrial oxidative phosphorylation (OXPHOS) has emerged as a potential therapeutic strategy for certain types of cancers. Employing kinome-based CRISPR screen, we find that knockout of dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A) synergizes with OXPHOS inhibitor IACS-010759 in liver cancer cells. Targeting DYRK1A combined with OXPHOS inhibitors activates TGF-β signaling, which is crucial for OXPHOS-inhibition-triggered cell death. Mechanistically, upregulation of glutamine transporter solute carrier family 1 member 5 (SLC1A5) transcription compensates for the increased glutamine requirement upon OXPHOS inhibition. DYRK1A directly phosphorylates SMAD3 Thr132, thereby suppressing the negative impact of TGF-β signaling on transcription of SLC1A5, leading to intrinsic resistance of liver cancer cells to OXPHOS inhibition. Moreover, we demonstrate the therapeutic efficacy of IACS-010759 in combination with DYRK1A inhibition in multiple liver cancer models, including xenografts, patient-derived xenografts, and spontaneous tumor model. Our study elucidates how the DYRK1A-TGF-β signaling axis controls the response of tumor cells to OXPHOS inhibition and provides valuable insights into targeting OXPHOS for liver cancer therapy.

Green Mobility Implementation Strategy: A SWOT Analysis Approach

Green mobility is one of the main solutions to reduce the environmental impact of transportation, as well as to support sustainable urban development. This study aims to identify strategies for implementing green mobility in urban areas using the SWOT (Strengths, Weaknesses, Opportunities, Threats) and STP (Segmentation, Targeting, Positioning) analysis approaches. This study uses a qualitative method based on literature studies that examine various sources related to policies, infrastructure, and green mobility practices in various cities. The results of the SWOT analysis show that the main strength of green mobility implementation lies in green mobility being an environmentally friendly transportation with low operational costs and can reduce congestion, although there are weaknesses in terms of inadequate infrastructure and resistance to behavioral change. Opportunities that can be utilized include support from government policies and global trends towards smart cities and increased investment in the environmentally friendly transportation sector, while threats faced by resistance from the conventional vehicle industry include high dependence on private motor vehicles. In the STP analysis, market segmentation is carried out based on geographic, demographic, and psychographic characteristics, targeting urban workers who are more open to environmentally friendly transportation solutions. Green mobility is positioned as an efficient, cost-effective, and environmentally friendly transportation option. Based on the analysis results, it is suggested that transportation policies that support green mobility focus on developing better infrastructure, educational campaigns, and policy support from the government. Thus, the implementation strategy obtained is green mobility education to the community, development of supporting infrastructure, provision of incentives and subsidies, and government policies that support the implementation of green mobility.

A Laboratory‐Validated, Graph‐Based Flow and Transport Model for Naturally Fractured Media

AbstractFractures are a primary feature controlling flow, transport, and coupled processes in geologic systems. To date, experimental image‐based observations of these processes have been challenging. Here, we use pulse‐tracer experiments with a conservative radiotracer ([18F]‐fludeoxyglucose) spanning multiple flow rates with simultaneous positron emission tomography imaging to characterize transport in a 5.08 cm fractured Sierra granite core. A graph‐based, laboratory‐validated flow and transport model is successfully demonstrated to describe the conservative solute transport in the natural fracture. Model network complexity, determined by the number of nodes and edges, significantly impacts model fit to observed data. Large graphs over‐describe a fracture plane and act similarly to a porous medium while small graphs oversimplify the solute transport behavior. To our knowledge, this work provides the first validation of graph‐based flow and transport models across a range of experimental conditions and sets the groundwork for upscaling to more complex and computationally efficient fracture models.

Gyrotatic dynamics of magneto viscoelastic material with thermal and solutal transport

Gyrotatic dynamics of magneto viscoelastic material with thermal and solutal transport

Dynamic electroosmotic flow and solute dispersion through a nanochannel filled with an electrolyte surrounded by a layer of a dielectric and immiscible liquid.

The present article deals with the modulation of oscillatory electroosmotic flow (EOF) and solute dispersion across a nanochannel filled with an electrolyte solution surrounded by a layer of a dielectric liquid. The dielectric permittivity of the liquid layer adjacent to supporting rigid walls is taken to be lower than that of the electrolyte solution. Besides, the aforesaid liquid layer may bear additional mobile charges, e.g., free lipid molecules, charged surfactant molecules etc., which in turn lead to a nonzero charge along the liquid-liquid interface. Such a layer of a dielectric liquid resembles the membrane of various biological cells. An AC voltage is applied to generate the fluid motion. Note that among others, the major advantage of AC voltage is that it can suppress the formation of gas bubbles that are often very detrimental in flow through microdevices. Considering the combined impact of ion partitioning and ion steric effects, we have studied the EOF modulation and its impact on the dispersion of the solute band of given width placed initially at the middle of the channel. The full scale numerical results for flow modulation induced by an AC electric field and its impact on the solute transport are presented considering a wide range of pertinent parameters. It is observed that the molar concentration of additional charge present in the dielectric liquid layer and its thickness, interfacial charge, and concentration of the bulk electrolyte, ion partitioning and ion steric effects, frequency of oscillatory electric field, channel height etc., have a substantial impact on the flow modulation, effective dispersion coefficient as well as broadening of the solute band across the channel. We have further highlighted the impact of the Péclet number on the transport and dispersion of solutes. Along with the numerical results, several benchmark analytical results under various limits are deduced for electrostatic potential, flow velocity and various quantities associated with the dispersion process.

The Influences of Evaporation and Aquitard on Groundwater Dynamics and Solute Transport in a Tidal Flat With a Slope Break

The Influences of Evaporation and Aquitard on Groundwater Dynamics and Solute Transport in a Tidal Flat With a Slope Break

Distinctive roles of aquaporins and novel therapeutic opportunities against cancer.

Aquaporins (AQPs) are integral membrane proteins responsible for facilitating the transmembrane transport of water and small solutes. Their involvement in diverse physiological functions extends to pathological conditions, including cancer, positioning them as promising targets for anticancer therapy. Tumor cells, particularly those with high metastatic potential, exhibit elevated AQP expression, reinforcing their critical role in tumor biology. Emerging evidence highlights AQPs' involvement in key oncogenic processes such as cell migration, proliferation, and tumor-associated edema, suggesting their potential as novel therapeutic targets. Despite this, the development of selective and potent AQP inhibitors has proven challenging. Efforts to produce small-molecule AQP inhibitors have largely been unsuccessful. However, recent advancements include monoclonal human IgG antibodies targeting extracellular domains of aquaporin-4, offering new therapeutic strategies, particularly in glioblastoma, where AQP-4 is overexpressed. However, recent advancements include monoclonal human IgG antibodies targeting extracellular domains of aquaporin-4, offering new therapeutic strategies, particularly in glioblastoma, where AQP-4 is over expressed. These antibodies hold promise for selectively targeting and eradicating AQP-4-expressing cells in malignant brain tumors. This review discusses the critical role AQPs play in cancer, including their contributions to tumor cell proliferation, migration, angiogenesis, and edema formation. Additionally, we explore innovative therapeutic approaches, such as antibody-based interventions, and outline potential future research directions in AQP-targeted cancer therapies.

Declarative ship arenas under favourable conditions

According to maritime regulations, a collision-avoidance action shall be taken at an “ample time” while strict interpretation of this term is ambiguous. Evasive manoeuvres, executed by marine navigators on a daily basis, are usually carried out well in advance, while the distance at which they decide to perform such a manoeuvre is mostly subjective and results, e.g., from the navigator's seagoing experience. A proper understanding of the decision-maker's behaviour under favourable conditions, when time pressure does not exist, seems to be essential for the future of maritime safety. This could enable the translation and quantification of seafarers' routine actions, taken many times a day, into collision-avoidance algorithms suitable for Decision Support Systems (DSS) or Maritime Autonomous Surface Ships (MASS). The literature lacks extensive research on this subject, as it focuses mainly on safety-critical actions, which are important but rare events. Therefore, this study aims to fill this gap by surveying practitioners and extracting their expert knowledge. Based on an online survey, the declarative ship arenas, reflecting the distance of evasive manoeuvre initiation, were determined and analysed. The findings revealed that, depending on the participants' profiles, a range of responses among the groups reaches up to 2 NM. The results indicated that navigators become less consistent with growing experience. Determined declarative arenas were consequently incorporated into a simulation-based case study of a passenger ship. The conducted simulations indicated that for several scenarios, the passing distances resulting from the execution of an evasive manoeuvre as per declarative arena were less than 0.5 NM, potentially leading to dangerous situations at close range. This results most likely from an overall problem of translating the distance of manoeuvre initiation into the final passing distance. The findings of this research may be found interesting by shipping companies preparing bridge procedures or for scholars and industry representatives preparing intelligent collision-avoidance solutions for maritime transportation.

A Fully Coupled Numerical Solution of Water, Vapor, Heat, and Water Stable Isotope Transport in Soil

A Fully Coupled Numerical Solution of Water, Vapor, Heat, and Water Stable Isotope Transport in Soil

Enhancing road safety of PLEVs by novel vehicle concepts: A comprehensive investigation on regulations, accident statistics, and perception of riders in Europe.

The rise of Personal Light Electric Vehicles (PLEVs), including electric bicycles and electric kick scooters, represents a relevant trend in current urban mobility. PLEVs offer economic, social, and environmental advantages, making them increasingly attractive for short-distance travel. Despite their benefits, concerns about the safety of PLEVs, particularly related to road accidents, have arisen due to their growing presence in urban areas. This paper examines various aspects of PLEV safety, focusing on equipment required by regulations, circulation aspects, and users' needs; based on such highlights, the objective is to derive a vehicle concept (in the form of a kick scooter) that integrates elements for PLEV safety maximization starting from the design phase. A review of PLEV-related regulation in European countries, and particularly for electric kick scooters, is initially provided to determine the mandatory equipment for their circulation in the widest possible number of countries. Analysis of accident data for PLEVs in the EU then reveals critical factors contributing to the occurrence of crashes, injuries, and casualties, as well as the type and severity of riders' injuries. Surveys on user perceptions shed light on safety concerns of daily riders, indicating the most relevant aspects to enhance from the user's perspective. Based on these findings, the study proposes a novel electric kick scooter concept integrating safety features derived from regulations, accident analysis, and user needs. Safety equipment aimed at increasing riding stability (high diameter wheel, pneumatic tyres) appears as the most promising solution for maximizing PLEV safety. Inclusion of turning light indicators can also increase riding stability, since the user can exhibit his/her intention of turning while maintaining the contact with the handlebar; as of today, this latter feature is mandatory only in Italy among all EU countries. The work additionally emphasizes the need for harmonized regulations, enhanced safety standards, specifically designed infrastructure, and user awareness campaigns to improve PLEV safety. This research is functional for the proposal of a sustainable and safe transportation solution that can increase the consensus towards PLEVs and the consequent spread of electric microvehicles.

The impact of angiotensin-receptor neprilysin inhibitors on cardiovascular events and solute transport function in peritoneal dialysis patients: a multicenter retrospective controlled study

Background Whether angiotensin receptor-neprilysin inhibitor (ARNI) can reduce the incidence of cardiovascular events and improve peritoneal function in peritoneal dialysis (PD) patients remains unclear. Thus, this study aims to clarify the role of ARNI in PD patients. Methods This was a multicenter retrospective study. A total of 102 patients were enrolled for analysis. Patients who continuously used ARNI for 12 months were assigned to the ARNI group (n = 55), while those who never used ARNI to the control group (n = 47). Clinical indicators and cardiovascular risk factors were analyzed, along with in vitro experiments on neoangiogenesis to investigate the underlying molecular mechanisms of peritoneal protection by ARNI. Results Systolic blood pressure (p = 0.001), diastolic blood pressure (p = 0.001), and left ventricular ejection fraction (p = 0.008) were statistically improved after 12 months of ARNI therapy, whereas these metrics did not change in control patients. The risk factors for the occurrence of cardiac events in PD patients included the use of ARNI [hazard ratio (HR) 0.053; 95% confidence interval (CI), 0.006–0.492] and NT-proBNP level (HR 2.317; 95% CI, 1.179–4.554). Additionally, there was a decrease in 4-hour ratio of creatinine concentration in dialysate to plasma (4h Scr D/P) in the ARNI group (p = 0.020). The in vitro experiments showed that LCZ696, a combination of sacubitril and valsartan, inhibited neoangiogenesis via the VEGFR2/ERK1/2 and Notch1 pathways. Conclusions ARNI may play a protective role in reducing the incidence of cardiovascular events and decreasing solute transport in PD patients.

Electric Vehicle Charging Route Planning for Shortest Travel Time Based on Improved Ant Colony Optimization

Electric vehicles (EVs) are gaining significant attention as an environmentally friendly transportation solution. However, limitations in battery technology continue to restrict EV range and charging speed, resulting in range anxiety, which hampers widespread adoption. While there has been increasing research on EV route optimization, personalized path planning that caters to individual user needs remains underexplored. To bridge this gap, we propose the electric vehicle charging route planning based on user requirements (EVCRP-UR) problem, which aims to integrate user preferences and multiple constraints. Our approach utilizes topology optimization to reduce computational complexity and improve path planning efficiency. Furthermore, we introduce an improved ant colony optimization (IACO) algorithm incorporating novel heuristic functions and refined probability distribution models to select optimal paths and charging stations. To further enhance charging strategies, we develop a discrete electricity dynamic programming (DE-DP) algorithm to determine charging times at efficiently chosen stations. By combining these methods, the proposed IACO algorithm leverages the strengths of each approach, overcoming their individual limitations and delivering superior performance in EV routing and charging optimization.

Tailoring Polyelectrolyte Multilayer Nanofiltration Membranes by Aerosol-Assisted Printing: Insights into Membrane Formation Mechanisms.

Polyelectrolyte multilayer (PEM) membranes, with advantageous features of versatile chemistry and structures, are driving the development of advanced nanofiltration (NF) membranes with exceptional performance. While developing a printing method holds great promise for the eventual mass production of these membranes, reports on the printing method and the underlying mechanisms of membrane formation are currently scarce. Herein, we develop an aerosol-assisted printing (AAP) system for fabricating PEM NF membranes with highly tunable separation characteristics. Our study unveils the three stages of membrane formation from assembly of polyethylenimine (PEI) and poly(sodium 4-styrenesulfonate) (PSS): aerosol deposition, single PE layer formation, and PEM assembly. The droplet deposition is governed by inertial impaction, and the deposited PEs migrate/entangle to form a single PE layer. The thicknesses of the PE layer and PEM exhibit linear growth as the number of printing scan increases. Furthermore, PE interdigitation forms an effective polymeric network barrier, which increases the resistance to solute and water transport. By manipulating the PE deposition mass and layering, PEM membranes with tunable pore radii (0.40-0.56 nm) and water permeability (5-60 L·m-2·h-1·bar-1) were obtained for various water treatment applications, ranging from micropollutant removal to humic acid filtration. Our study offers valuable mechanistic insights into the PEM formation and precise structural adjustment via printing, thus facilitating scalable manufacturing and widespread applications of the PEM NF membranes.

An Analysis Strategic Investment in Smart Mobility and the Impact on Financial Performance of BLUE HYUNDAI

This study explores the strategic investment in smart mobility initiatives by Blue Hyundai and evaluates its impact on the company's financial performance. With the growing demand for innovative, sustainable, and technology-driven transportation solutions, smart mobility has emerged as a critical area of focus for automotive companies. This analysis investigates the relationship between investments in smart mobility technologies—such as electric vehicles (EVs), connected cars, and advanced driver-assistance systems (ADAS)—and key financial performance indicators, including revenue growth, profitability, and market share. The research employs both qualitative and quantitative methods, drawing on financial reports, market trends, and industry data. Findings highlight the potential of smart mobility to enhance operational efficiency, attract environmentally-conscious consumers, and secure long-term competitiveness, while also identifying challenges such as high initial costs and regulatory complexities. Keywords: Smart Mobility, Strategic Investment, Financial Performance, Blue Hyundai, Electric Vehicles, Technology Integration.