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Investigation of the therapeutic potential of daphnetin, derived from Daucus carota leaves, against colorectal cancer: insights from in-silico, DFT, in-vitro, and fluorescence studies on its interactions with proteins
Daphnetin (NAP) has a sophisticated structure containing two oxygen-linked rings, which have long attracted medicinal chemists in the drug discovery process. Daphnetin features a coumarin structure with two hydroxy groups positioned side by side at the 7th and 8th carbons, making it an essential component for developing a novel triple point co-prodrug. We have isolated NAP from the leaves of Daucus carota (commonly known as carrot). NAP showed a good docking score with the EGFR protein obtained from network pharmacology, while molecular dynamics simulations evaluated the stability. ROS generation assays, MTT assays, etc. confirmed that NAP exhibits significant cytotoxic effects on HCT-116 cells. An investigation of the reverse phase interaction of NAP with BSA and ovalbumin, where proteins are added to the ligand solution, demonstrated fluorescence enhancement, ensuing in a observable colour transformation from neutral to blue, through binding-constants of 4.8 104 M?1 and 2.08 104 M?1. 2025 Informa UK Limited, trading as Taylor & Francis Group. -
Investigation of thermal performance of moving concave parabolic porous fin wetted by water based MoS2 nanofluid using Homotopy Perturbation Method
Recent advancements in nanotechnology have led to significant improvements in the design, manufacturing, and thermal efficiency of engineering systems. Nanofluids, when combined with extended surfaces, enhance heat transfer performance, helping to prevent overheating while also offering improved stability, durability, and adaptability across various environmental conditions. This research focuses on the thermal response of a moving porous fin featuring a concave parabolic profile, immersed in a nanofluid composed of water as the base fluid and molybdenum disulfide (MoS2) nanoparticles. The governing nonlinear nanofluid model is nondimensionalized, and thermal characteristics such as temperature profiles, heat transfer rates, efficiency, and fin effectiveness are obtained using the Homotopy Perturbation Method (HPM). The effects of important dimensionless parameters on thermal profiles are examined through graphical illustrations. The results demonstrate that temperature rises with increases in the Peclet number and thermal conductivity, whereas it decreases as porosity, radiation, convection, and emissivity parameters increase. Furthermore, the inclusion of MoS2 nanofluid leads to an average heat transfer enhancement of approximately 3.84% compared to conventional fluids under radiative conditions. 2025 -
Investigation on AI-Based Techniques in Applications for Detecting Fatal Traffic Accidents
The difficulties with road accident rates today rank among the top concerns for health and social policy in nations across the continents. In this essay, we've spoken about the fatalities and injuries brought on by traffic accidents in several Indian states. We have also shed light on the various factors that contribute to traffic accidents. Many researchers have reported various methods for identifying automobile crashes or accidents that are discussed in this work. Additionally, we covered collision avoidance systems and their various kinds. An examination of the analysis techniques used to comprehend the numerous causes causing accidents is also included in the study. Traditional models are frequently used to identify problems such driver weariness, drowsiness, driving while intoxicated, and distractions. 2023 IEEE. -
Investigation on Constraints and Recommended Context Aware Elicitation for IoT Runtime Workflow
Various technological and application challenges arise in the advancement of Internet of Things. Apart from Design and Deployment, Security also falls as a primary challenge to overcome. Device Management is becoming more complex as numerous network services to be handled. Inter-device communication for technical aspects appears to be underappreciated. There is a critical necessity to include this area's requirements and challenges. By abstracting data models and operations and expressing them using semantics, M2Mcommunication and interoperability and may be made simple. A thorough investigation of the foregoing is preparing the way for various approaches. Along with Semantics, a high-level language construct is suggested that can enable run-time workflow construction. Things Markup Language is the name of the concept (TML). 2024, Ismail Saritas. All rights reserved. -
Investigation on Electrode/Electrolyte Interfaces through Impedance Spectroscopy
In the present paper, impedance measurements of the battery configuration, Anode?lithium borophosphate glass electrolyte?LiCoO2 cathode, has been carried out to throw some light on the electrochemical interfacial behavior between the chosen electrodes and electrolyte. The cathode material, lithium cobalt oxide (LiCoO2) has been prepared by three different techniques and characterized. Sol-gel synthesized LiCoO2 showed uniformly distributed spherical shape particles with an average size of 500 nm and also exhibited better electrochemical performance. Charging and discharging (23 cycles) of the battery indicated an OCV of 2 V. However, the theoretical OCV of 4 V could not be achieved. The poor performance of the battery could be attributed to the electrochemical processes and SEI film formation at the electrode/electrolyte interfaces. Impedance spectroscopy shows that the major contributions to the impedance of the battery are the electrolyte resistance and the electrode/electrolyte interfacial resistance. With each recharging cycle, the value of electrolyte resistance remains almost constant; however, the interface resistance increases, during the passage of current, due to the interfacial passive layer formation. 2020 Taylor & Francis Group, LLC. -
Investigation on Preserving Privacy of Electronic Medical Record using Split Learning
Artificial Intelligence is deployed in multiple areas, including healthcare. Utmost research is done in AI enabled healthcare industry because of the demands like accurate result, data security, exact prediction, huge volume of data, etc. In conventional deep learning models, the training happens with the dataset that are stored in a single device. This requires a huge storage space and highly efficient machines to train the data. Usage of big data, demands for innovative models that can be deployed and used in confined storage. Split learning is one such collaborative distributed deep learning model that allows the data to be stored in a split fashion. Split learning supports desirable features like less storage, more privacy to raw data, ability to work with resource constraints, etc., making it suitable for storing electronic medical record of patients. This paper discusses the advantages of using split learning for healthcare, the possible configurations of split learning that supports data privacy in healthcare and finally discusses the open research challenges in implementing split learning for healthcare. 2024 The Authors. Published by Elsevier B.V. -
Investigation on the analysis of integration of IoT and AI technologies with information security for advanced education 4.0
This research examines the integration of emerging technologies in the form of the Internet of Things and Artificial Intelligence in driving forward to the educational application of Education 4.0. The systematic meta-analysis study provides evidence in the transformative capability of these technologies regarding attendance, performance, and learning pathway. The systems implementation was in the form of IoT sensors to capture and record student attendance, while the use of Artificial Intelligence based on machine learning models such as Support Vector Machine, Artificial Neural Network, k-Nearest Neighbors, and Decision Tree generated a personalized recommendation for the academic improvement or sports activity to be participated as an extracurricular activity. The performance evaluation of these models was illustrated for accuracy to correctly predict student responses related to the provided recommendations. The findings of implementation suggest the systems significant impacts given the augmented performance achievement with respect to academics and sports is the result of the implementation. It was measured comparing students performance before and after system implementation to capture the interpretation of student improvement regarding the use of the implemented system. The findings indicated that the systems implementation contributed to the increase in academic improvement from 65% to 75% and sports performance from 55% to 70% depending on student response to the provided academical or extracurricular recommendations. Such findings confirm an overall improvement in performance based on the use of the presented system. Taru Publications. -
Investigation on the phase transformation and lattice parameters of Sn2+, Cu2+, La3+ and Ce4+ ions doped titania: characterization and solar light activity study /
International Journal For Light And Electron Optics, Vol.183, pp.496-507, ISSN No: 0030-4026. -
Investigation on thermal barrier effects of 8YPSZ coatings on Al-Si alloy and validation through simulation
In high temperature engineering field, protection of metal components operating at high temperatures has been a problem since the attempts to realize high efficiency aero engines in the 1940s. Researchers have been working on finding a solution for this issue and thermally insulating the surface of the base metal component with a suitable high temperature material, generally a ceramic, is one solution. The Thermal Barrier Coatings, popular worldwide as TBCs have found wide spread applications in aerospace and automobile industry after its successful application in aerospace engines in mid 1970s. In the field of aerospace, generally a super alloy will be the substrate and in automobile field this process is very much suited on aluminium casting alloys, which is the raw material for high speed diesel engine cylinder blocks and pistons. Although a good quantity of research work on TBCs have been completed in the field of aerospace, the published literature on such coatings on Aluminium castings alloys are limited. Present research aims to throw some light in this grey area by plasma spray coating Aluminium-Silicon (Al-Si) substrates with popular Yttria Partially Stabilized Zirconia as top coat and underlying nickel aluminide bond coat. Al-Si alloys are widely used in automobiles. Experiments were conducted to evaluate the temperature drop across a 250 mm thick TBC at different ceramic surface temperatures and then validating the experimental results by simulation in ANSYS. Experimental results and simulated results showed a close match, thereby validating the findings. 2019 Elsevier Ltd. All rights reserved. -
Investigation on window opening behavior in naturally ventilated hostels of warm and humid climate
A window is an inevitable element of a naturally ventilated building, and its usage improves indoor environmental conditions. Various research has presented window opening behavior models, stating that it may vary with region, climate, season, building type and many more environmental and non-environmental factors. Major studies in India relied on survey data and were not focused on continuous monitoring. Limited occupants behavior studies have been reported in warm and humid climatic zones, specifically in hostel buildings. Also, a realistic description of occupants window opening behavior is require for more accurate evaluation of building performance using energy simulation. Therefore, there is a need to study the window opening behavior to predict the indoor environment more accurately by using energy simulation tools. In this context, a one-year field research involving questionnaire survey, physical observation, and monitoring was conducted in different hostel buildings in Tiruchirappalli, India. Logistic models were developed to predict the window state in hostel buildings in warm and humid region based on physical observational and long-term monitoring data. It is found that window use is influenced by season, time of the day, weekdays, floor level, buildings orientation, user type, and gender. Results also showed that insects and animal menace (snakes, squirrels, lizards, mosquitoes etc.) impede window opening behavior. The study also presented a logistic model for window opening behavior based on outdoor environment conditions for simulation modeling. 2022 Elsevier B.V. -
Investigations on Compression Behaviour of Short Reinforced SCC Columns
The objective of this work is to predict the values of deformation and load at cracking point, yielding point and ultimate point of short reinforced self-Compacting Concrete columns which was subjected to axially compression in loading frame. An ANN tool by giving proper inputs like fresh properties of materials, spacing of stirrups and percentage of longitudinal reinforcement and keeping target values obtained from experiments, it is compared with the experimental values accompanied by marginal errors. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Investigations on Slurry Erosive on Wear Performance of HVOF-Sprayed Cr2O3 Coatings on Aluminum Alloy
The slurry erosion behavior of thermally sprayed Cr2O3 coatings on Aluminium alloy is evaluated in the current research. By employing a high-velocity oxy-fuel (HVOF) spraying process, Cr2O3 coatings were deposited on the Aluminium 6061 alloy. Microhardness, as well as microstructure of the coatings, were explored to analyze the developed coatings. Slurry erosive wear experiments have been conducted by varying the conditions of the slurry erosion process, such as test duration, slurry concentration, slurry speed, and size of impinging particles, on the erosion test rig. The outcome has shown that with an increase in slurry concentration, slurry speed, and impinging particle size, the slurry erosive wear loss increases. By utilizing 3D confocal microscopy and scanning electron microscopy, the wear mechanisms of uncoated and Cr2O3-coated samples have been examined. 2021, The Author(s), under exclusive licence to Springer Nature Switzerland AG. -
Investigations on the electronic properties and effect of chitosan capping on the structural and optical properties of zinc aluminate quantum dots
Quantum confined uncapped and chitosan capped nanoparticles of ZnAl2O4 synthesized by microwave-assisted solgel method were investigated by structural analysis and optical techniques. X-ray diffraction studies confirmed the formation of cubic spinels with crystallite size 4.5 nm and 3.4 nm, respectively for uncapped and chitosan capped ZnAl2O4 nanoparticles. Chitosan capping produced a blue shift in bandgap energy (3.84 to 3.94 eV) agreeing with size effects according to the Brus equation. A blue shift in emission peak and enhancement in photoluminescence intensity was also observed upon chitosan capping. The electronic band structure and the density of states of the bulk spinel were also calculated using density functional theory. The effective masses of electrons and holes estimated based on the band structure were used to extract the excitonic Bohr radius. 2021 Elsevier B.V. -
Investigations on thermo-mechanical properties of organically modified polymer clay nanocomposites for packaging application
Eco-friendly packing polymer materials are in the spotlight but, lack of new biodegradable polymers either natural or synthetic is yet to establish the market more competitively. So, in the present work, clay as a nano-filler is embedded and organically modified in some synthetic and natural polymers which are well established commercially to enhance their biodegradability. The impact of clay on the properties of synthetic polymers namely, poly(methyl methacrylate) (PMMA), poly(vinyl chloride) (PVC), poly(vinyl acetate) (PVAc) and natural polymer cellulose acetate butyrate (CAB) was studied. Results from differential scanning calorimetric (DSC) showed a decrease in the glass transition temperature of organically modified polymer clay nanocomposites (PCC) than pure polymers. Scanning electron microscopy (SEM) displayed a uniform surface with small-sized crystallites distributed on the polymer surface. X-ray diffraction (XRD) spectra revealed the formation of enhanced intercalated structures in PCC. Furthermore, FTIR studies showed that the interlayer bonding (SiO bands) of pure clay is deformed in PCCs. The tensile strength of PCC increased with an increase in organo-clay loading. This unique mechanical behavior is due to the agglomeration of organo-clay particles. Finally, the biodegradation studies revealed enhanced hydrolytic degradation in PCC than pure polymers. Hence, these PCCs are environmentally friendlier than their pure synthetic polymers without significant compromise in their properties, which makes it suitable for packaging industries. The Author(s) 2020. -
Investing in Indias electric revolution: A case study of OLA electric
Subject Area: Entrepreneurship, Strategy. Study Level/Applicability: The case is best suited for a course on Entrepreneurial Finance while introducing the sources of finance and a course on Private Equity and Venture capital, while discussing target screening. It exemplifies how new-age ventures can position themselves to attract investments and how venture capital firms use environmental scanning to identify potential investment opportunities. Designed for second-year MBA students, the case assumes familiarity with strategic management concepts like Porters Five Force and Resource-Based View. Case Overview: Amala Menon is a seasoned venture capitalist, strategist, sustainability enthusiast, and founder of Samrithi VentureCaptial and has been actively looking out for investment opportunities in the Electronic Vehicle (EV) space. Believing in the huge potential and the push received by supportive government policies in India, Amala is assessing Ola Electric Mobility Pvt. Ltd (Ola Electric) as an investable option among a list of growing players in the space. A wholly owned subsidiary of ANI Technologies Pvt. Ltd, the parent company of Ola Cabs, Ola Electric, valued at USD 5 billion as of 2022, was founded in 2017 to facilitate mass electric mobility and hence reduce emission and fuel dependency. Though crunching financial metrics and valuation numbers come in during assessing an investment option, she strongly emphasizes evaluating the organizations readiness to obtain further funding in terms of its management team, the potential of the business model and several other crucial parameters. Ultimately, valuation exercise, according to her, aids founders and investors in confirming the strategic positioning of the venture and the business models validity. Hence, at this point, Amala, considering qualitative and quantitative aspects, is focused on assessing whether Ola is a wise investable option compared to its peers. Expected Learning Outcomes: This case study enables participants to: (1) Critically appraise investment prospects in new-age EV startups like Ola Electric considering industry-specific and organization-specific factors. (2) Explore both financial and non-financial factors crucial for evaluating Ola Electrics potential as a promising investment. (3) Evaluate Ola Electric as a potential investment option by leveraging strategic frameworks such as Resource-Based View, Internal and External Factor Evaluation to formulate an investment recommendation. (4) Apply the insights gained from the environmental scan to guide Amalas investment decision regarding Ola Electric. Association for Information Technology Trust 2024. -
Investing in Indias electric revolution: A case study of OLA electric
Subject Area: Entrepreneurship, Strategy. Study Level/Applicability: The case is best suited for a course on Entrepreneurial Finance while introducing the sources of finance and a course on Private Equity and Venture capital, while discussing target screening. It exemplifies how new-age ventures can position themselves to attract investments and how venture capital firms use environmental scanning to identify potential investment opportunities. Designed for second-year MBA students, the case assumes familiarity with strategic management concepts like Porters Five Force and Resource-Based View. Case Overview: Amala Menon is a seasoned venture capitalist, strategist, sustainability enthusiast, and founder of Samrithi VentureCaptial and has been actively looking out for investment opportunities in the Electronic Vehicle (EV) space. Believing in the huge potential and the push received by supportive government policies in India, Amala is assessing Ola Electric Mobility Pvt. Ltd (Ola Electric) as an investable option among a list of growing players in the space. A wholly owned subsidiary of ANI Technologies Pvt. Ltd, the parent company of Ola Cabs, Ola Electric, valued at USD 5 billion as of 2022, was founded in 2017 to facilitate mass electric mobility and hence reduce emission and fuel dependency. Though crunching financial metrics and valuation numbers come in during assessing an investment option, she strongly emphasizes evaluating the organizations readiness to obtain further funding in terms of its management team, the potential of the business model and several other crucial parameters. Ultimately, valuation exercise, according to her, aids founders and investors in confirming the strategic positioning of the venture and the business models validity. Hence, at this point, Amala, considering qualitative and quantitative aspects, is focused on assessing whether Ola is a wise investable option compared to its peers. Expected Learning Outcomes: This case study enables participants to: (1) Critically appraise investment prospects in new-age EV startups like Ola Electric considering industry-specific and organization-specific factors. (2) Explore both financial and non-financial factors crucial for evaluating Ola Electrics potential as a promising investment. (3) Evaluate Ola Electric as a potential investment option by leveraging strategic frameworks such as Resource-Based View, Internal and External Factor Evaluation to formulate an investment recommendation. (4) Apply the insights gained from the environmental scan to guide Amalas investment decision regarding Ola Electric. Association for Information Technology Trust 2024 -
INVESTING IN WOMEN, INVESTING IN THE PLANET: QUANTIFYING THE IMPACT OF WOMEN'S EMPOWERMENT ON ENVIRONMENTAL SUSTAINABILITY; [INVESTIR NAS MULHERES, INVESTIR NO PLANETA: QUANTIFICAR O IMPACTO DO EMPODERAMENTO DAS MULHERES NA SUSTENTABILIDADE AMBIENTAL]; [INVERTIR EN LAS MUJERES, INVERTIR EN EL PLANETA: CUANTIFICAR EL IMPACTO DEL EMPODERAMIENTO DE LAS MUJERES EN LA SOSTENIBILIDAD AMBIENTAL]
Objective: This study finds out the correlation between the indicators of womens empowerment, including variables like gender parity index in tertiary education, female labour force participation and seats held by women in national parliament, and a variable of environmental sustainability such as CO2 emissions (metric tons per capita). The aim is to analyse existing datasets to know the impact of independent variables on dependent variable. Method: The study uses multiple linear regression to evaluate the effects of independent variables indicators of women's empowerment on the dependent variable, CO2 emissions, using secondary data from the World Bank covering the years 1990 to 2022. The Breusch-Pagan and Breusch-Godfrey LM tests are used to look at heteroskedasticity and autocorrelation, respectively, and VIF is used to find multicollinearity. Results and Conclusion: The study concludes that there is a statistically significant relationship between lower CO2 emissions and increases in the percentage of female seats in the national parliament (-3.73) and higher female labour force participation (-6.04). The gender parity index (GPI) in tertiary education, which is -0.2997, does not, however, appear to have a statistically significant impact on CO2 emissions. Implications: This research can serve as a cause for redesigning gender-responsive environmental initiatives and promoting a more sustainable and equitable future. Originality/Value: This study contributes empirical knowledge to the body of literature by showing the potential contribution of women's empowerment in addressing environmental issues and emphasising the significance of taking gender into account in environmental policy and decision-making processes. 2024 ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao. All rights reserved. -
Investment Intentions and Influential Factors among University Students
This study investigates the investment intentions of university students in Delhi NCR and the factors influencing their decision-making, guided by the Theory of Planned Behavior (TPB). Specifically, the research examines how financial attitude, risk tolerance, and academic background contribute to students' intent to invest, alongside demographic factors such as gender, family income, and family structure. A structured questionnaire was administered to 454 university students, and data were analyzed using one-way ANOVA, chi-square tests, and multiple linear regression. Findings indicate that financial attitude and risk appetite significantly influence investment intention, with financial attitude showing the strongest negative effect. While the course of study did not significantly predict general investment intention, it showed a meaningful association with preference for equity investments. Gender differences were statistically significant, with male students more likely to invest both generally and in equities. In contrast, no significant differences were found for family income or family structure. The regression model explained 40.7% of the variance in investment intention, reinforcing TPBs attitudinal and control constructs. The study highlights the importance of integrating behavioral finance elements into education and encourages a shift beyond theoretical literacy toward experiential learning. Although variables such as social influence, financial self-efficacy, and digital platform awareness were not included in this study, their relevance is acknowledged for future research. These insights have practical implications for financial education policies under the NEP 2020 and for designing student-targeted financial awareness programs. 2025, Iquz Galaxy Publisher. All rights reserved. -
Investor behaviour, market efficiency, and regulatory challenges in digital currency investments: A comprehensive literature review
The rapid proliferation of digital currencies has ignited significant interest in understanding investor behaviour and the regulatory challenges within this evolving financial landscape. The study seeks to elucidate the factors that influence investor behaviour in the cryptocurrency/digital currency market and explore the regulatory implications associated with digital currency investments. A systematic approach was adopted to identify, review, and analyze relevant scholarly articles from reputable databases. The selected articles span various dimensions of the cryptocurrency/digital currency ecosystem, including investor behaviour, market efficiency, technological innovation, and regulatory measures. It reveals that investor behaviour in the digital currency market is influenced by a complex interplay of emotions, market sentiment, and information asymmetry. Additionally, market efficiency theories are being reconsidered in light of the highly volatile nature of cryptocurrencies. Regulatory challenges encompass issues related to fraud, pump-and-dump schemes, and legal ambiguity. 2024, IGI Global. All rights reserved. -
Investor Perspectives: Evaluating the Impact of CSR on Excess Returns in Financial Companies
This research aims to provide insights into Corporate social responsibility (CSR) performance and its impact on portfolio performance. The research would contribute to the broader understanding of how investors can achieve financial success and positive societal impact through the CSR performance of financial companies. This study uses 56 financial companies data from 20132014 to 20212022. Seemingly unrelated regression has been used to examine the impact of FAMA and French factors on the return of different portfolios. The findings of this research are significant for Banks and NBFCs, which shows that all the factors of the FAMA and French model are significant in showing the portfolios results. This study demonstrates that banks with better CSR performance yield higher expected returns than NBFC portfolios. This finding confirms that increased socially responsible activities yield better returns for banks. It showed that more socially responsible companies provide better financial returns than those not focusing on these issues. This suggests that when companies invest in being responsible and doing good for society, it can lead to better financial results for them and the investors. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.