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Citrus Medica-derived Fluorescent Carbon Dots for the Imaging of Vigna Radiate Root Cells
Bio-imaging is a crucial tool for researchers in the fields of cell biology and developmental biomedical sector. Among the various available imaging techniques, fluorescence based imaging stands out due to its high sensitivity and specificity. However, traditional fluorescent materials used in biological imaging often suffer from issues such as photostability and biocompatibility. Moreover, plant tissues contain compounds that cause autofluorescence and light scattering, which can hinder fluorescence microscopy effectiveness. This study explores the development of fluorescent carbon dots (Cm-CDs) synthesized from Citrus medica fruit extract for the fluorescence imaging of Vigna radiata root cells. The successful synthesis of CDs with an average size of 6.7nm is confirmed by Transmission Electron Microscopy (TEM). The X-ray diffraction (XRD) analysis and raman spectroscopy indicated that the obtained CDs are amorphous in nature. The presence of various functional groups on the surface of CDs were identified by Fourier transform infrared (FTIR) spectra. The optical characteristics of Cm-CDs were studied by UV-Visible spectroscopy and photoluminescence spectroscopy. Cm-CDs demonstrated strong excitation-dependent fluorescence, good solubility, and effective penetration in to the Vigna radiata root cells with multicolor luminescence, and addressed autofluorescence issues. Additionally, a comparative analysis determined the optimal concentration for high-resolution, multi-color root cell imaging, with Cm-CD2 (2.5mg/ml) exhibiting the highest photoluminescence (PL) intensity. These findings highlight the potential of Cm-CDs in enhancing direct endocytosis and overcoming autofluorescence in plant cell imaging, offering promising advancements for cell biology research. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Fluorescent Carbonized Polymer Dots Derived from o-phenylenediamine and its Photonic Application
Optimizing the optoelectronic characteristics of low-dimensional carbon dots (CDs) through surface modifications and doping has proven instrumental in tailoring them for diverse applications. This study explores a facile and economical hydrothermal synthesis method for generating Carbonized Polymer Dots using o-phenylenediamine at different temperatures. The resulting materials exhibit structural and morphological variations linked to the synthesis temperature. A transition from carbon dots (CDs) embedded in reduced graphene oxide (rGO)-like sheet structures at low temperatures to the core-shell structure at the highest temperature is observed in HR-TEM, implying the formation of CPDs. X-ray photoelectron spectroscopy (XPS) corroborates these findings, showing an augmented degree of graphitization in alignment with HR-TEM results. The photoluminescence spectra of CPDs synthesized at the lowest temperature exhibit multiple emission peaks, resulting in a yellowish-orange color. Utilizing these CPDs to fabricate light-emitting diodes (LEDs) produces a vivid bright-green emission with CIE coordinates (0.378, 0.522). Moreover, the CPDs demonstrate solvatochromism across diverse solvents of varying polarity, covering the entire visible spectrum. This intriguing solvatochromic effect positions the CPDs as promising materials for polarity probing applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Spectroscopic Studies on Structurally Modified Anthraquinone Azo Hydrazone Tautomer: Theoretical and Experimental Approach
A series of unique four mono-azo substituted anthraquinone analogue were synthesized by using the anthraquinone components in the diazo-coupling technique. The FT-IR, 1H NMR, and HRMS, data were used to confirm the structure of the molecules, and spectroscopic techniques like UV-Vis, and photoluminescence spectroscopy were employed to estimate the photophysical properties of the molecules. The molecular optimized geometry and frontier molecular orbitals were estimated using density functional theory. Further, global chemical reactivity descriptors parameter was theoretically estimated using the value of the highest occupied molecular orbit and lowest unoccupied molecular orbits. The anti-tubercular action of the synthesised dyes were also examined. The results of this biological activity showed that N-isopropyl aniline combined with anthraquinone N-isopropyl aniline had superior anti-tubercular activity when compared to Rifampicin as the standard. As per molecular docking studies, the synthesized compound Q1 showed excellent binding energy (-10.0kcal/mol) among all compounds against the 3ZXR Protein. These results agreed with our in-vitro anti-TB activity results. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Enhanced light harvesting in DSSCs using carbon dots derived from Alstonia venenata
This study presents a novel co-sensitization strategy utilizing carbon dots derived from Alstonia venenata in combination with the N719 dye to enhance the light-harvesting efficiency of dye-sensitized solar cells (DSSCs). The carbon dots were synthesized via a hydrothermal process using an aqueous extract of Alstonia venenata leaves, resulting in a material with broad absorption characteristics. These synthesized carbon dots were then drop-cast onto an N719-sensitized photoanode, leading to improved carrier generation and enhanced device performance. The selection of Alstonia venenata as a precursor is based on its rich phytochemical composition, which contains alkaloids, flavonoids, terpenoids and phenolic compounds that act as efficient carbon precursors and surface passivation agents. Upon carbonisation, these biomolecules yield functionally active carbon dots that can improve electron transport, minimise charge recombination and enhance dye anchoring at the TiO2 surface. Carbon dots have demonstrated significant potential as co-sensitizers, offering a highly effective approach to increasing DSSC efficiency. Their strong binding affinity further facilitates efficient photoinduced electron transfer to the photoanode, contributing to improved device functionality. In this research, TiO2 was employed as the photoanode, while N719 dye and carbon-dot-modified N719 served as sensitizers. Iodolyte HI-30 acted as the electrolyte, and Platisol T/sp functioned as the counter electrode. The unmodified DSSC exhibited a power conversion efficiency of 5.2%, which was enhanced to 6.0% with the incorporation of carbon dots as co-sensitizers. The significant efficiency improvement achieved through this co-sensitization strategy underscores the unique capabilities of carbon dots derived from Alstonia venenata, making this approach a promising advancement toward the development of cost-effective and high-performance DSSCs. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Symmetric supercapacitor with hydrothermally synthesized ?-MoO3 nanobars coated on Ni foam substrate: A neutral electrolyte approach for energy storage applications
Molybdenum trioxide (MoO3), a potential supercapacitor electrode material is synthesized through hydrothermal method at low temperature. The significant charge-storage process of the MoO3 electrode is extensively analyzed in 0.5M sodium sulfate (Na2SO4) in a wide potential window. The basic functional properties of MoO3 are characterized through different characterization techniques. The electrochemical performance is examined through chargingdischarging method, cyclic voltammetry, and impedance spectroscopic studies of the active electrode with a mass loading of 1 mg cm?2 each. The three-electrode and device systems of the MoO3 electrode are also investigated. The specific capacitance obtained for the device is 295 F g?1 at 1 A g?1 in a potential window of 0 to 1V in 0.5M Na2SO4 electrolyte solution. The densities of energy and power are 40.27 W h kg?1 and 492 W kg?1. The device is further tested for cyclic stability over 1000 cycles and attained a stability of 75% and a Coulombic retention of 100%. This work demonstrates that the MoO3 electrode can be facilitated for the aqueous electrochemical energy storage devices. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026. -
Facile synthesis of Sb2Se3 anchored NiO nanocomposite as an efficient electrode for hybrid supercapacitors
In this study, we aimed to develop a novel electrode material for hybrid supercapacitors by synthesizing NiO@Sb2Se3 nanocomposites and evaluating their electrochemical performance. Antimony triselenide (Sb2Se3) nanoparticles were synthesized via a facile melt diffusion technique at 700C, while nickel oxide (NiO) nanoparticles were prepared by a hydrothermal method. Both nanomaterials were composited through ball milling and characterized using SEM, PXRD, SAED, HRTEM, and XPS. Electrochemical studies demonstrated that the composite delivered a specific capacity of 140.26 Fg?1 at 10?mVs?1 and 128.97 Fg?1 at 1 Ag?1 in a three-electrode configuration. A hybrid supercapacitor device assembled with PVAKOH gel electrolyte exhibited a wide potential window (02V), achieving 60.58 Cg?1 at 1 Ag?1, with an energy density of 33.65 Whkg?1 at 2000 Wkg?1, power density, and 82.3% capacity retention over 2000 cycles. These results demonstrate the potential of NiO@Sb?Se? nanocomposites as promising electrode materials for next-generation energy storage devices. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Synthesis of white emitting Dy-doped Ga?O? phosphors via hydrothermal method
Gallium oxide (Ga?O?), a wide band gap material, serves as an effective host for phosphors, with emission colour tunable through doping with suitable rare- earth elements. The present study investigates the influence of dysprosium doping on Ga?O?s luminescence characteristics. Samples were synthesized via a hydrothermal method and subjected to calcination at various temperatures 600C, 750C, 900C, 1050C. These samples were characterized using X-ray diffraction, UVvisible spectroscopy, Raman spectroscopy, and photoluminescence spectroscopy. The photoluminescence spectra of the samples were analysed to identify the defect states. The CIE (Commission Internationale de lEclairage) coordinates were calculated and chromaticity diagram was plotted to determine the overall luminescence colour emission. To assess potential phosphorescence properties, decay plot was analysed and average lifetime was calculated. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Self-Control and Decision-Making Skills as Predictors of College Enrollment: Role of Parental Influences
Self-control and planful decision-making can play a critical role in promoting academic outcomes. Nonetheless, little is known about how parental influences impact these noncognitive skills in promoting college enrollment. Using data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), we examined adolescent self-control and decision-making skills (at wave 1) as predictors of college enrollment (at wave 3). Further, we assessed if the effect of parental influences (i.e., maternal academic involvement, maternal academic expectations, parental control/limit-setting, and parental education) on college enrollment was indirect and operated through the associations of parenting variables with adolescent self-control and planful decision making. Both self-control and decision-making skills significantly predicted college enrollment, controlling for age, gender, family income, and cognitive ability. Parental control/limit-setting and educational level had significant direct effects on college enrollment and were not significantly related to adolescent self-control or planful decision making skills. The effect of maternal academic involvement on college enrollment was indirect and operated through its associations with adolescent self-control and decision-making skills. The effect of maternal academic expectations on college enrollment was both direct and indirect, through its association with adolescent decision-making skills. Our findings suggest that individual and family-based interventions that target critical noncognitive skills, such as self-control and planful decision making, hold promise in promoting college enrollment. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
The Relationship Between Developmental Crisis and Meaning in Life in Emerging Adulthood: An Analysis of Data from Eight Countries
Developmental crisis episodes are common during emerging adulthood. Evidence from existing research suggests that existential concerns about lifes meaning are prominent during crisis episodes in emerging adulthood, but little quantitative research exists on this topic. The current cross-cultural study investigated the relationships between components of developmental crisis (measured using the 3-factor Developmental Crisis Questionnaire), and meaning in life (measured using the Meaning in Life Questionnaire, which has two factors: search for and presence of meaning in life). The sample comprised 1967 emerging adults across eight countries (Brazil, Czechia, Greece, India, Indonesia, Pakistan, Turkey and the United Kingdom). Two components of developmental crisis being in transition/turning point and feeling disconnected/distressed were positively associated with a search for meaning in life. Feeling disconnected/distress and lacking clarity/control were negatively associated with a presence of meaning in life. The findings emphasize the need for organizations and services that focus on supporting young adults in crisis, and that these should provide help with the often-hidden existential sense that life may be lacking meaning, and the corresponding endeavour to search for meaning. The Author(s) 2026. -
Melamine derived N-doped Carbon nanotubes: A durable catalyst support for Pt nanoparticles in proton exchange membrane fuel cell
A cost-effective thermal pyrolysis route was adopted to synthesize N-doped carbon nanotube (NCNT) in a single step with the aid of melamine (carbon and nitrogen source) and cobalt catalyzed growth for the formation of N-doped carbon nanotubes. The NCNT was acid treated (fNCNT) to remove the metallic Co from the CNT which was elucidated using X-ray diffraction. Even though these noble metal-free materials are explored as Oxygen reduction reaction (ORR) electrocatalyst, for it to be employed in actual fuel cell the cathode requires noble metals such as Platinum (Pt) nanoparticles to improve its sluggish kinetics. Thus, this study is mainly focused on employing fNCNT as catalyst support in PEMFC, wherein the electrocatalyst was synthesized using microwave-assisted polyol method to decorate Pt nanoparticles on fNCNT, demonstrating its excellent durability of 32% electrochemical active surface area (ECSA) loss when subjected to standard protocols, and full cell performance of hybrid ((Pt/fNCNT) + CB) 412 mW cm?2 (better than commercial Pt/C) when deployed as electrocatalyst for ORR in Polymer electrolyte membrane (PEM) fuel cell, thus our findings open new avenues to explore, design and develop N-doped carbon nanotubes as durable catalyst for fuel cells. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Critical Digital Citizenship: a scale development and validation study
The rise of digital technologies, on one hand, has transformed the way learners interact with digital environments. On the other hand, we witness the digital divide and biases associated with it. This calls for a redefinition of digital citizenship. This prompted us to develop the Critical Digital Citizenship (CDC) Scale to assess school teachers competencies in using technology responsibly and critically interacting with online and internet environments. This scale focuses on key features such as Knowledge, Attitude, Skills, Critical Perspectives. An exploratory factor analysis and confirmatory factor analysis were carried out. The following goodness-of-fit index values were obtained: ?2 = 612.39, df = 266, P = 0.00, RMSEA = 0.059, GFI = 0.891, AGFI = 0.867, CFI = 0.922, RMR = 0.049; TLI = 0.912. The overall Cronbachs alpha reliability value of the test was 0.823. The composite reliability exceeds 0.7 for every factor and the AVE > 0.5. After analysing the data, it was found that the Critical Digital Citizenship Scale (CDCS) is a valid and reliable tool for assessing the CDC competency level of teachers. The CDC scale addresses the urgent need to equip individuals with the skills to discern credible information, recognize bias, and engage in responsible, informed digital participation. This will also serve as a valuable resource for school teachers, educators, policy makers, and administrators to understand and implement critical digital citizenship in schools, as well as for researchers seeking to foster critically perspective towards digital and internet integration in education. The Author(s), under exclusive licence to Springer Nature B.V. 2024. -
Digital Gender Gap, Gender Equality and National Institutional Freedom: A Dynamic Panel Analysis
While digital gender gap is a growing field of research in Information Systems (IS), there remains a dearth of research focusing on it. The objective of this study is to investigate the relationship between the digital gender gap in mobile and internet usage and gender equality. Additionally, this study also examines the impact of national institutional freedoms on the aforementioned relationship. Utilizing the theoretical framework of intersecting inequalities and building upon existing literature on the gender digital divide, this study aims to explore the associations between disparities in mobile and internet usage, gender equality, and the extent of national institutional freedoms encompassing economic, political, and media domains. In pursuit of this objective, we undertake a dynamic panel data analysis using publicly accessible archival data at the country level. The results indicate that national institutions have a significant impact on the relationship between the digital gender gap in internet and mobile phone usage and gender equality. The discussion encompasses the significance of our findings for both study and practice. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Multi-stage spatial temporal ensemble model with integrated learning methods for robust deepfake detection
Deepfake detection remains a significant challenge as modern generative models increasingly minimize visible artefacts, and many existing approaches rely solely on either spatial or temporal cues, which limits their robustness and generalization. Many existing hybrid approaches integrate mature learning models in linear or stacked pipelines, which often suffer from error propagation, reduced interpretability, and suboptimal generalization. Unlike prior hybrid approaches that primarily stack spatialtemporal learners, the proposed multi-stage hybrid Integrated Learning Method (ILM) introduces a validation-aware dual-detection mechanism, an independent dual-path spatial-temporal learning design, and a decision-level nonlinear ensemble fusion strategy, explicitly mitigating face mislocalization, temporal dilution, and false-positive propagation observed in existing deepfake detection pipelines. The ILM framework structurally coordinates facial region localization and validation using YOLOv5 and Haar Cascade, deep spatial feature extraction using ResNet-50, frame-level spatial classification via LightGBM, and temporal sequence modeling using LSTM networks. The outputs from the spatial and temporal pathways are subsequently fused using a Random Forest classifier, enabling nonlinear aggregation of complementary evidence while preserving interpretability. Experimental results on the FaceForensics + + and Celeb-DF (v2) benchmark datasets show that ILM achieves 98.30% accuracy, 97.90% precision, and 98.70% recall, outperforming recent state-of-the-art CNNLSTM, ViT-based, and CNNTransformer models by 16%. Ablation studies confirm that each module contributes incrementally to performance stability and false-positive reduction, demonstrating the importance of ILMs multi-stage architecture rather than the individual algorithms alone. Overall, ILM provides a modular, accurate, and computationally efficient solution suitable for deployment in digital forensics, media authentication, and AI governance. Future work will extend ILM with transformer-based global encoders and explainable AI techniques to further improve interpretability and robustness against emerging deepfake models. The Author(s) 2026. -
A web forensic optimization framework for investigating false information on social media using the ForenOptiNet model
Todays technological advancements in the field of digital media have resulted in the unprecedented transmission of information leading to unauthorized exploitation. Businesses use social media as the primary marketing platform. Considering the severity of spreading misinformation and fake news in our society due to false marketing by bogus businesses, there is a great need to demystify this propagation using web forensics-based frameworks. In order to increase consumer equity, the rapid spreading of malicious information makes it hard for users to differentiate between real and false information. This research intends to design an effective and adaptable framework for detecting false information campaign carried out by criminals affecting online social network (ONS). A novel ForenOptiNet model is designed and diverse data gathered from the Reddit and INFD dataset is used to train the suggested model. The Web Forensic-Based Investigation Optimization (WFBIO) algorithm provides a high accuracy classification of malicious content from the web. Moreover, the WFBIO framework enhances the robustness of the ForenOptiNet model and ensures that the proposed approach can effectively identifies misinformation and fake news to validate factual claims. Results of the simulation analysis provides a muti-level mechanism combining anomaly detection and ForenOptiNet model together outperforming other state-of the-art optimization algorithms trained against CNNs with SGD, Adagrad and AdaDelta. While these baselines yielded accuracies between 55 and 92%, our proposed model achieved highest accuracy of 99% accuracy with an effective front-end design integration. The Author(s) 2025. -
Navigating uncertainty: how do parenting and grit influence career indecisiveness among Indian emerging adults?
This paper examined how perceived parenting styles (permissive, authoritative, and authoritarian) influenced career indecisiveness among Indian emerging adults, with grit as a mediating factor. A total of 420 Indian emerging adults (18-25 years) were administered self-reported questionnaires. Both PROCESS mediation analyses and path analysis using SPSS AMOS were computed. Both parents authoritative and authoritarian parenting styles predicted career indecisiveness. The passion component of grit emerged as a significant mediator, as supported by the PROCESS mediation analysis. These findings offer new methodological and practical insights, highlighting the significance of culturally relevant career counseling interventions, integrating both familial influences and noncognitive traits. The Author(s), under exclusive licence to Springer Nature B.V. 2025. -
Waves, Velocity Addition and Doppler Effect in Light of EPRs Completeness Condition
It is a standard practice to derive velocity addition rules for point particles from Galilean and Lorentz transformations in point (classical) mechanics, and to apply such rules to wave velocities for explaining Doppler effect. However, in such standard practice, it is never shown whether the equation for wave propagation actually transforms in a way such that the velocity addition rules get manifested through the equation itself. We address this gap in the literature as follows. We claim that the velocity addition for waves, being the one and only mean to explain the empirically verified Doppler effect, should be considered as an element of physical reality in accord with EPRs completeness condition of a physical theory. Therefore, the equation for wave propagation should manifest such velocity addition so as to be considered as a part of the respective physical theory of waves. We show that such manifestation is possible if and only if wave propagation is modeled with first order partial differential equations. From a historical point of view, this work settles the Doppler-Petzval debate which originated from Petzvals demand for an explanation of Doppler effect in terms of differential equations. From the foundational perspective, this work sets the stage for a renewed focus on the mathematical modeling of wave phenomena, especially in the context of various Doppler effects. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Mathematical and prosodic analysis of intonation in Malayalam
This study investigates the intonation patterns of Malayalam, a language spoken in Kerala, India, using polynomial regression and Kernel Density Estimation. Malayalam has distinct pitch modulation patterns across genders and question types, with variations in acoustic features, syllables, and stress structures. We examine the mean pitch characteristics of different question types and analyze the correlation between stress patterns and syllable structure counts in the language. Additionally, we perform clustering analysis on Malayalam words to highlight similarities and diversities in acoustic features, which helps us understand the phonetic diversity within the language. Our analysis shows that the overlap of KDE curves in the feature space allows us to analyze the linguistic factors that influence variability in Malayalam speech. This suggests a need for further research on regions where syllable complexity and phonological patterns are notably concentrated. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
Power law coefficient effects on buoyant heat transfer in porous trapezoidal enclosures
The investigation of steady, incompressible, laminar mixed convective fluid flow within two different types of trapezoidal enclosures filled with saturated water and study explores how the power-law index governs buoyancy-driven heat transfer in a porous trapezoidal cavity filled with non-Newtonian fluids. Unlike Newtonian fluids, non-Newtonian fluids exhibit flow behavior that directly depends on the power-law index, which characterizes their shear-dependent viscosity. We formulate the governing equations in terms of the stream function and temperature and solve them using a validated, in-house MATLAB solver. Embedding a porous matrix within a trapezoidal enclosure creates intricate interactions between convective currents and conductive resistance. By performing numerical simulations across a range of Rayleigh numbers (Ra = 102 to 2 103) and boundary conditions, we systematically assess how variations in the power-law index alter local velocity fields, temperature distributions and overall heat-transfer rates. Our results reveal that increasing the power-law index strengthens convective flow and raises the average Nusselt number, whereas decreasing the index shifts the balance toward diffusion-dominated transport. These findings offer practical guidance for enhancing thermal management in industrial systems that employ both Newtonian and non-Newtonian fluids within porous structures. The study presents new empirical correlations linking Nu, Ra and power law co-efficients offering a practical tool for engineering design. Unlike previous works that focused primarily on Newtonian fluids or simplified geometries, this work provides a detailed analysis of non-Newtonian effects in realistic porous enclosures. These results contribute to a deeper understanding of convective mechanisms in complex therm-ofluid systems and offer guidance for optimizing thermal performance in engineering applications. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2026. -
Mushroom Farming and Rural Youth: Analyzing a Sustainable Livelihoods Framework
We examine mushroom farming as an alternative livelihood for rural youth, utilizing the Sustainable Livelihoods Framework (SLF) to assess its impact on economic resilience and rural development. A qualitative study was conducted in Uttarakhand, India, involving 20 participants aged 1835 who were engaged in mushroom cultivation. Data from semi-structured interviews were analyzed thematically, revealing that rural youth are motivated by their hopes for financial independence and a growing interest in sustainable agriculture. Mushroom farming enhances human capital through skill development, cultivation, and business management, which in turn boosts self-esteem. The income they earn provides financial capital to support their families and reinvestment in their businesses. In addition to empowering marginalized groups, mushroom farming bolsters all five capitals of the SLF: human capital through skills and education; financial capital through income generation; natural capital via the use of agricultural waste and biological resources; physical capital through infrastructure and tools; and social capital through peer networks and community support. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025. -
The Role of Real Exchange Rate in Indias Service Export: Do Remittances Inflows Matter in Post Liberalization-Era?
This study assesses the effects of real exchange rate and remittance inflows on India's total service exports, comprising traditional and modern service exports, spanning the annual data from 1990 to 2020. The control variables for the service export function include developments in the banking sector and the stock market and net inflows of foreign direct investment. The ARDL model is the estimating technique of the present study. The real exchange rate has an adverse effect on total, traditional, and modern service exports, according to the long-run outcomes of the ARDL model. Remittance inflows are interestingly shown to support modern service exports while impeding total and traditional service exports. The growth of the banking sector is beneficial for traditional and total service exports, but it has a negative impact on modern service exports. All service exports are benefited by stock market development; however, net FDI inflows negatively impact all forms of service exports. Based on these results, thepolicymakers in India are advised to maximize the effective utilization of remittance inflows in traditional service exports. Additionally, proactive intervention by the central bank is recommended to mitigate the adverse effects of the real exchange rate on traditional and modernservice exports. This study also provides valuable insights for thepolicymakers and practitioners seeking to enhance India's service export performance while navigating the complexities of real exchange rates, remittance inflows, and financial factors. The Author(s), under exclusive licence to Springer Japan KK, part of Springer Nature 2024.