Browse Items (16481 total)
Sort by:
-
Purple Blue emission in MoO3:Ce3+ nanorods: Investigation on the structural and photoluminescence properties
MoO3:Ce3+ nanophosphors were synthesized with different doping concentrations of cerium by hydrothermal method. Structural, optical, and photoluminescence properties were explored. Raman spectroscopy and X-ray diffraction studies were carried out to examine the crystal structure, vibrational modes and symmetry. XRD and Raman spectroscopy assures the orthorhombic phase of MoO3 for the pure and doped samples. Nanorod like morphology was obtained for pure and doped samples. XPS analysis confirms the presence of Ce3+. While analyzing UVVis absorption spectra, the change in optical bandgap was observed with doping concentration in agreement with size effect. The refractive index of the prepared nanorods was evaluated. For MoO3:Ce3+nanorods excited at 250 nm, purple-blue emission comprising of transitions between 2D ? 2F7/2 along with 2D ? 2F5/2 levels of Ce3+ in MoO3 lattice were obtained. The concentration quenching mechanism was observed in MoO3:Ce3+ nanophosphors. Purple-blue emission from different samples were quantified using CIE chromaticity diagram. This work marks MoO3:Ce3+ nanorods as a suitable candidate for display and fluorescence imaging application. 2023 Elsevier Masson SAS -
Influence of Synthesis Temperature on the Structural, Morphological and Optical Properties of MoO3 Nanorods
Molybdenum trioxide nanomaterials have attained notable attention in the recent past and are used in various optoelectronic and biomedical applications. Here blue and purple blue light emitting MoO3 nanophosphors were synthesized using the simple hydrothermal method at three different temperatures 100C, 150C, and 200C. Structural characterization using XRD along with Raman spectroscopy confirms the formation of a highly stable orthorhombic phase. Micro strain effects have been analyzed by employing the Williamson-Hall method using a uniform deformation model. Nanorod like morphology was obtained from FESEM. Optical analysis, using Tauc plot shows a decreasing trend in bandgap value with increasing temperature. Emission peaks in the photoluminescence spectrum are associated with the transition between the sub-bands of the Mo5+ defect state. From CIE coordinates it is confirmed that the characteristic light from the samples is blue and purple-blue. Being an excellent blue and purple blue light emitting phosphor, MoO3 is a suitable material for future LED and fluorescence imaging applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. -
Low temperature synthesis of MoO3 nanoparticles by hydrothermal method: Investigation on their structural and optical properties
Molybdenum trioxide nanoparticles have recently achieved notable attention in optoelectronic and biomedical applications by virtue of their excellent structural, optical, electrical, and catalytic characteristics. The work presented here demonstrates the synthesis of orthorhombic MoO3 through the facile hydrothermal method at low temperature. Structural and optical characterization of the prepared sample was examined. XRD studies and Raman spectroscopy were carried out to study the structural behavior of the sample. The XRD peaks were concordant with the standard peaks of MoO3, which corresponds to the orthorhombic structure of MoO3. Micro-strain effects were also verified by the W-H method using UDM, UDEDM, and USDM. Raman spectroscopic data ascertained the orthorhombic phase of MoO3. From Tauc plot, a wide bandgap value (4.9 eV) was evaluated. In photoluminescence spectroscopy, peaks are related to the transition among the sub-bands of Mo5+ defects. Being a wide bandgap oxide semiconductor, MoO3 is a promising and worthy material for luminescence applications. 2022 -
Red emission in MoO3:Eu3+ nanobelts: Investigation on the photoluminescence quenching mechanism
MoO3:Eu3+ nanobelts were synthesized via the hydrothermal method with varying concentrations of europium doping. The investigation has examined the structural, morphological, optical, and photoluminescence characteristics of MoO3:Eu3+ nanophosphors. The XRD and Raman spectroscopy affirmed the orthorhombic structure of the synthesized nanostructures. FESEM depicts a nanobelt-like morphology and XPS studies confirmed the presence of Eu3+. A detailed analysis of the photoluminescence mechanism, concentration quenching, and quantum efficiency is presented in this study. Upon 302 nm excitation, red emission was observed along with concentration quenching effects. The optimized sample with the highest PL intensity (MoO3:Eu3+ 3 mol. %) was annealed at 600 C for 12 hrs. The PL intensity increased upon annealing, with the corresponding CIE coordinates (0.52, 0.29). The findings highlight the material's potential for use in display technologies and bioimaging phosphors. 2025 The Authors -
Effect of Doping Concentration on the Luminescence Properties of MoO3: Tb3+ Nanobelts
The development of rare-earth-doped oxide nanomaterials has garnered significant interest due to their potential applications in display and biomedical imaging technologies. Among them, MoO3, with its favourable optical properties, emerges as a promising host material for nanophosphors. In this work, the hydrothermal method was employed to synthesise MoO3: Tb3+ nanobelts by varying the terbium concentration. Structural, optical, morphological and photoluminescence characteristics were systematically examined. FESEM and TEM revealed nanobelt morphology. XPS verified the successful incorporation of Tb3+ ions. A thorough study of the photoluminescence mechanism, including concentration quenching and lifetime measurements, was carried out, as these aspects are still not well studied for this material. Under 260 nm excitation, blue-green emission was observed with optimal photoluminescence intensity at 2 mol% Tb3+ doping. The optimised sample was annealed at 500C for 12 h, resulting in greenish-white emission. Emission colour coordinates were determined using the CIE chromaticity diagram, and a dipoledipole interaction mechanism with a critical distance of 17 was identified as the cause of quenching. The average photoluminescence lifetime of the annealed sample was ~1.1 ?s. These results demonstrate the potential of MoO3: Tb3+ nanobelts as efficient phosphor materials for next-generation display and bioimaging applications. 2025 John Wiley & Sons Ltd. -
Lattice Distortion Suppressed in MoO3 by Incorporating Minor Impurities of rGO: Strategy for Enhanced Electrocatalytic Hydrogen Evolution
Structural stability is critical for improving the electronic properties and charge-transfer efficiency of the catalyst, directly contributing to its enhanced electrocatalytic hydrogen evolution reaction (HER) activity. In this study, orthorhombic MoO3 and rGO-MoO3 catalysts were synthesized by using a straightforward hydrothermal method, and they demonstrated excellent activity for electrochemical water splitting for hydrogen generation. In this study, conventional laboratory techniques, except for Raman spectroscopy, were unable to clearly detect or differentiate the presence and impact of a very small amount (0.5%) of rGO in MoO3. However, X-ray absorption fine structure analysis performed at the synchrotron facility provided definitive confirmation of the influence of minor rGO incorporation in this study. The analysis revealed that the incorporation of rGO suppresses lattice distortions and enhances the stability of local atomic coordination within the MoO3 framework. The Tafel slopes for MoO3 and rGO-MoO3 composite nanorods are 205 and 173 mV/dec, indicating improved reaction kinetics with rGO incorporation. The estimated specific capacitance values from the linear fit of CV at different scan rates are 2.0 mF/cm2 for MoO3 and 6.7 mF/cm2 for the rGO-MoO3 composite nanorods. Therefore, this study provides valuable insights into tuning the structural properties of materials and enhancing the HER performance through the incorporation of trace amounts of carbon-based materials, effectively suppressing lattice distortions. 2025 American Chemical Society. -
Patient Digital Twins for Dynamic Hospital Supply Chain Management AI-Based Predictive Resource Allocation
The fusion of Digital Twin (DT) technology and Artificial Intelligence (AI) holds great promise for the optimization of hospital supply chain management and resource allocation. This paper proposes a patient-specific digital twin framework aimed at forecasting hospital staffing needs and aiding supply planning by means of AI-based analytics. Preprocessing and modeling of hospital records that included admission information, medical procedures, room types, usage of supplies, and patterns of staffing were achieved by utilizing advanced machine learning algorithms. The strategy illustrated better performance compared to baseline strategies and had interpretability from feature importance analysis, which emphasized length of stay, critical care admissions, and specialized procedures as influential drivers of staffing requirements. The results show that the patient digital twin can optimize operational efficiency, avoid supply deficits, and facilitate evidence-based decisions. The suggested framework is consistent with the vision of contemporary healthcare supply chains in that it promotes resilience, flexibility, and smart resource management. 2025 IEEE. -
Enhancing Reliability and Accuracy in Wind Energy Forecast Using CNN-LSTM Hybrid Model
The global shift to sustainable energy is increasing the demand for wind energy. Accurate forecasting becomes crucial for renewable energy systems to function effectively in terms of resource allocation, grid management, and overall reliability. The need for wind energy is growing as a result of the worlds transition to sustainable energy. For renewable energy systems to operate efficiently in terms of resource allocation, grid management, and overall reliability, accurate forecasting becomes essential. It is challenging for current forecasting methods to correctly predict the dynamic nature of wind energy demand. For utilities and grid managers, the inherent variability and unpredictability in wind energy generation pose serious issues. The forecasting models that are now in use are challenged by the variable and sporadic character of wind energy generation. This makes it more difficult to integrate wind energy into the electrical grid effectively and increases the risk of grid instability and inefficient resource utilization. This research addresses these challenges by proposing a hybrid forecasting model that integrates the strengths of Long Short-Term Memory (LSTM) networks and Convolutional Neural Networks (CNNs). By capturing both spatial and temporal dependencies in wind data, the hybrid model aims to enhance accuracy and reliability in wind energy forecasts. The precise forecasting of wind energy is made more difficult by shifting weather patterns, changing environmental factors, and shifting patterns of energy usage. Improving the forecasting models accuracy and dependability in the renewable energy industry requires addressing these difficulties. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Medical Image Security Using Dual Encryption with Oppositional Based Optimization Algorithm
Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. In this paper, the dual encryption procedure is utilized to encrypt the medical images. Initially Blowfish Encryption is considered and then signcryption algorithm is utilized to confirm the encryption model. After that, the Opposition based Flower Pollination (OFP) is utilized to upgrade the private and public keys. The performance of the proposed strategy is evaluated using performance measures such as Peak Signal to Noise Ratio (PSNR), entropy, Mean Square Error (MSE), and Correlation Coefficient (CC). 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
Potential flow simulation through Lagrangian interpolation meshless method coding
From the past many decades, mesh generation posed many challenges in the field of computational sciences for many researches. High rise in computational power has enabled many researches to tackle the problems of complex geometries. Due to the high need of computational power, computational cost also increased abruptly. In today's world, many academic and industry researches are willing to increase the use of present simulation technology; mesh generation plays a vital role in this aspect. we can say that many real-world simulation problems are dependent on mesh generation which has more chances in giving an inaccurate simulation results. In order to make the simulation process simpler, Meshless methods are introduced to the field of Computational Fluid Dynamics. This technique requires a less computational power compared to the computational power needed for generating the mesh. In the present dissertation, our main objective is to develop a scheme for Meshless method for the field of Computational Fluid Dynamics for flow over a blunt body. The performance of the present scheme is evaluated by comparing the simulation results with existing experimental data and also compared with the results obtained by generation of mesh using commercial CFD software. 2018 Isfahan University of Technology. -
Medical Awareness in Telemedicine: A Legal Perspective
Telemedicine is the technology to provide remote delivery of the healthcare services such as consultation, diagnosis, treatment, etc., to the individuals. It is done through telecommunication technology such as video call, audio calls, messaging. It will help in providing the services, especially in rural or underserved areas, while maintaining patient-provider communication and continuity of care. Medical negligence in telemedicine is an emerging area of concern as healthcare increasingly shifts toward virtual platforms. In order to attract the liability under medical negligence, various essentials such as duty of care, breach of duty, causation and damages must be fulfilled. This paper aims to analyse various legal and ethical challenges that could be faced by the individuals in the process of telemedicine. This research paper was created using the doctrinal approach of research. In order to comprehend, analyze, and organize the law, this research style focuses on analyzing legal doctrines, legislation, case laws, and legal principles. The medical negligence in telemedicine could be in several ways such as misdiagnosis or delayed diagnosis, lack of informed consent, failure to refer the patient for in-person treatment, improper prescription or data breaches. These factors complicate diagnosis, treatment, and legal accountability in virtual healthcare settings, increasing risks for both patients and providers. The Author(s). -
Role of Individualistic and Collectivistic Orientations in the Happy Life of Kharwar Adivasi Community
Following globalization, westernized cultural values, ideas, and practices have rapidly spread. Cultures are in flux, and indigenous communities are not free from the influence of the outside world. In this research, we investigated how the psychological tendencies of indigenous communities might be affected by such socio-cultural changes in a predominantly collectivist nation. A community-based study was conducted with 150 Kharwar Adivasi individuals residing in 10 villages of Naugarh block, Chandauli, Uttar Pradesh. The participants, aged 25-50 years, were given the measures of Individualism-Collectivism Orientations and Happy Life. Using an exploratory factor analysis, a five-factor structure emerged, explaining 57% of the variance in happy life. The results indicated that 59% of the sample had a collectivistic orientation. Individuals with a collectivistic orientation fared better in overall happiness and its sub-domains than individuals with an individualistic orientation. It is suggested that even though there is a gradual increase in individualism, for the Adivasi community, happiness is still enhanced by tendencies of interdependence. The findings have important implications for understanding the happiness of the under-researched Adivasi population. (2025), (School of Management Sciences). All rights reserved. -
Sustainability and work-life balance in green management
This chapter tries to dig deeper into the interrelation that can be identified between factors of work-life balance and sustainability within the domain of organizations. It addresses how work-life balance at workplaces may affect employees' feelings, satisfaction levels, as well as their productivity to understand the core concept related to sustainability-that sustainability reflects the means to attain the present requirements without any interference with future generations fulfilling their own requirements. The last objective of this chapter is to comment on how these two ideas complement each other, thereby underlining the ways businesses can enhance their environmental sustainability policies and practices and simultaneously increase employee satisfaction levels by introducing effective work-life balance strategies. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Digital marketing effectiveness and success factors for small and medium enterprises
Digital marketing is crucial for the organisation success. Therefore, this paper explores how research in digital marketing can enhance marketing strategies, drive consumer engagement and boost revenue generation. It highlights how businesses of varying sizes can leverage these insights to thrive in the competitive online market. The study conducts a bibliometric analysis of digital marketing research, tracing its evolution from inception to present day. Focusing on authorship patterns, international collaborations, and geographical influences, it assesses the potential future impact of research in this area. Using the Scopus database, 1,126 relevant articles were selected for detailed analysis. Employing the R Software and bibliometric package, an extensive scientific mapping analysis was performed. The findings present a thorough exploration of author contributions, source evaluations, document analytics, cluster mapping-citations, and collaborative networks. These findings provide valuable guidance for researchers and practitioners interested in emerging domain of digital marketing. Copyright 2026 Inderscience Enterprises Ltd. -
Risk and Return Analysis of Socially Responsible Equity Investment for Optimum Portfolio
The sustainable development goals of industry, innovation and infrastructure aims at building sustainability by paving way for socially responsible investing. Socially responsible investing identifies investment newlineavenues that considers social and environmental responsibilities along with newlinefinancial return. The question of risk and return relationship and whether socially responsible investment outperforms conventional investment has been keen area of interest to empirically drive investors in order to establish an optimal portfolio for socially responsible equity investments. The aim of the study is identifying Equity investments which are Socially Responsible newlinefrom listed Equity investments in India, to examine whether socially responsible equity investments outperformed conventional equity newlineinvestments, to assess the equity investments performance which are socially responsible and equity investments which are conventional across different sectors based on the risk adjustment metrics for establishing an Optimal Equity portfolio which are Socially responsible with Sharpe Index newlineOptimization Model. The study identified socially responsible companies which adhered to sustainability reporting and disclosures of ESG from the total companies listed newlinein BSE and NSE as on 31.12.2021. Annual average return rate, standard deviation, beta and different risk adjustment metrics for evaluating the performance of equity investments which are socially responsible and the equity investments which are conventional was utilized by the study. The newlinesample period of the research between lies between 2012 to 2022. Correlation analysis as well as t-test have been performed using E-views software. Socially responsible equity companies showed significant strong positive newlinerelationship of risk and return than conventional companies. Commodities, Health care, Industrials, Information Technology and Telecommunication sectors outperformed conventional companies of similar sector. -
Carbon Dots from Natural Sources for Biomedical Applications
Carbon dots (CD), a class of 0D nanomaterials, have gained much research attention over the years due to their uniqueness in properties such as tunable photoluminescence, biocompatibility, low toxicity, water-solubility, and chemical stability. Converting inexpensive biomass to valuable materials highlights the synthesis and applications of biomass-derived CDs. This review summarizes the research and development related to the synthesis, properties, and applications of biomass-derived CDs, furnishing a comprehensive list of biomass-derived CDs with their properties and potential applications. This review's discussions and references span the properties that equip CDs for their diverse biomedical applications, such as bioimaging, sensing, drug delivery, phototherapy, and nanomedicine. 2022 Wiley-VCH GmbH. -
Intrusion detection system in a software- defined network
Software Defined Network (SDN) provides a solution to traditional network architecture's drawbacks, where closed equipment like switches and routers have tightly coupled hardware and software. SDN allows the creation of virtual networks controlled by software, providing benefits like rapid topology creation, enhanced security and performance isolation for different traffic types. It offers networking and management opportunities with programmability and flexibility by operating on a centralized control plane, separating data and control planes. The centralized controller, directs information flow through the interfaces to network elements. Despite advantages, SDN faces security threats like DoS attacks and intrusions. One of SDN's most promising aspects is its potential to enhance network security through Intrusion Detection Systems (IDS). IDS integration within SDN enables effective threat detection to safeguard devices and data. The chapter briefly outlines IDS implementation in SDN and demonstrates SDN's capacity to revolutionize modern network management and security. 2026, IGI Global Scientific Publishing. All rights reserved. -
-
Automatic Resume Parsing using Greywolf Algorithm Integrated with Strategically Constructed Semantic Skill Ontologies
The quest for finding the right candidate for their post has made the recruiters employ several methods since the beginning of corporate job recruitment. Apart from the skills and the quality of interview, a thing that matters the most and forms the basis of selection is the candidate's resume. Recruiters and companies have a tough time dealing with the several thousands resumes of the candidates which apply, as manually scanning them and finding the right selection can be tough most of the time. In this paper, Natural Language Processing(NLP) methods have been integrated with ontologies to improve the pace and quality of the recruitment process by proposing an automatic resume parser model. The resume of a candidate, along with his LinkedIn and GitHub profiles are weighted and using the Greywolf algorithm, the global maxima of the most deserving and qualified candidate are found and are recommended with a high accuracy of 96.13%. 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)