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Excitation dependent emissive multi stimuli responsive ESIPT organic luminogen for monitoring sea food freshness
Excited state intramolecular proton transfer (ESIPT) organic luminophores with excitation wavelength-dependent color tunability have drawn significant attention due to their exceptional photoluminescent properties in solution and solid state. A novel salicylaldehyde-based Schiff's base molecule, (E)-N'-(3,5-dibromo-2-hydroxybenzylidene)benzohydrazide (BHN) exhibited stimuli (excitation wavelength and pH) induced changes in fluorescence properties which was utilised for applications like trace level water sensing in organic solvents (THF, acetone and DMF), detection and quantification of biogenic amines and anticounterfeiting. In the solution state, BHN rendered a ratiometric detection and quantification of ammonia, diethylamine and trimethylamine, which is further supported by DFT studies. The photoluminescent response of BHN towards various biogenic amines was later utilised to monitor shrimp freshness. The investigation carried out highlights the potential versatility of ESIPT hydrazones, which renders multi stimuli responsive behaviour that can be utilised for water sensing, anticounterfeiting and the detection and quantification of biogenic amines. 2023 Elsevier Ltd -
A Multi-Stimuli responsive organic luminogen with aggregation induced emission for the selective detection of Zn2+ ions in solution and solid state
Organic luminogens capable of excited state intramolecular electron transfer (ESIPT) have drawn prodigious attraction due to their enhanced emission in solid-state. A novel Schiff base molecule, 3,5-dibromo-2-hydroxybenzylidenenicotinohydrazide (DHN) exhibited stimuli-induced reversible fluorescence switching and selective binding propensity towards zinc in aqueous media, and the concentration-dependent studies showed a limit of detection of 9.135 nM. DHN was found to be weakly fluorescent in polar solvents with a quantum yield ranging between 0.0365 and 0.0789 but exhibited a very strong fluorescence in solid state (?exc = 370 nm) due to aggregation induced emission (AIE). The ESIPT fluorophore renders significant reversible halochromic properties in solution and solid-state. In addition, utilizing the solid-state fluorescence, we have prepared PVA-probe green-emitting composite films, which can be used for the on-site detection of Zn2+ in aqueous media. The practical applicability of DHN was proven by detecting Zn2+ in real drug samples. Finally, the ESIPT fluorophore was used for fluorescent imaging of intracellular zinc in the cells acquired from the nervous tissue of rats (N2a). The investigations carried out highlight the versatility of ESIPT Schiff bases used for the development of multi-responsive fluorescent materials for selective sensing of metal ions in both solid and solution states. 2022 Elsevier B.V. -
Excited state intramolecular proton transfer dual emission Schiff bases for metal detection and cell imaging
Fluorescent probes incorporating the excited-state intramolecular proton transfer (ESIPT) phenomenon have emerged as versatile tools in scientific research. These probes exhibit dual emission, resulting from the unique transfer of a proton within the molecule upon excitation. This property makes ESIPT-based Schiff bases highly attractive for metal detection, cell imaging, and sensing biologically important molecules. In metal detection, the spectral changes of ESIPT-based Schiff bases upon interaction with metal ions enable the development of sensitive and selective sensors. For cell imaging, their photophysical properties make them ideal for labeling cellular components and facilitating multicolor imaging. In sensing biomolecules, ESIPT-based Schiff bases offer selective detection of interactions and enzymatic activities. Integration of these probes holds great promise for applications in environmental monitoring, biomedical research, and healthcare. This review focuses on the photoluminescent properties and application of ESIPT dual emission Schiff bases for sensing of metal ions, biologically relevant molecules and cell imaging. 2023 Taylor & Francis Group, LLC. -
Women in tourism: Gender bias and constraints
Tourism could be spending time away from home in search of leisure, relaxation, and pleasure while utilizing the commercial provision of services. The capacity of tourism to improve livelihoods by re- ducing poverty, guarantee or enhance environmental sustainability, and promote gender equality and women's empowerment are some of its strongestpoints. "Women's empowerment" can mean a variety of things, such as respecting women's opinion, making an effort to find them, and improving women's status through training, awareness, and education. They may have the chance to redefine gender norms and other similar roles, giving them more flexibility to pursue their objectives. The main aim of the chapter is to identify the major challenges faced by women in the tourism sector, the ways to overcome constraints, gender stereotypes, and the social stigmas while they juggle between multiple responsibili- ties. With this chapter, the authors aim to gain more knowledge more specifically on how women can be empowered in the tourism and hospitality sector. 2023, IGI Global. All rights reserved. -
Acculturation and adaptation experiences of third generation adolescent migrants of andaman and nicobar islands
Andaman and Nicobar Islands saw movement from 1857 amid the reformatory settlement design of the British Government followed by Independent relocation after 1947. The relocation makes a heritage of acculturation and adaptation experiences of the migrants and their descendants. The administration stretched out certain facilities to the migrants like job reservation, simple access to government jobs in the Islands, reservation for higher education and so forth amid the 50's, 60's and 70's. The number of inhabitants in the Islands has now come to a disturbing level and the facilities and opportunities have contracted down, yet individuals have not changed their outlook rather and for them, everything stays in and around the Islands. This study aims to understand the acculturation and adaptation experiences of the third generation adolescent migrants of Andaman and Nicobar Islands. The study proposes to follow the methodology based on grounded theory. Using Theoretical sampling method, third generation adolescent migrants of the Islands were recruited for the study. The average age of the participants recruited for this study is 18.6 years with 83% of them are male and the remaining 17% are female. Individual interview sessions, lasting approximately 45 to 90 minutes were conducted with the participants to know how their acculturation and adaptation experiences. The transcripts of the interviews were thematically analyzed with the help of Nvivo 10. The transcripts were dissected and 1950 codes from 7903 text segments which became the main foundation for the analysis of data. The codes were further reduced into 54 basic themes, again into 21 organizing themes and finally into 05 global themes. The process of acculturation, psychological adaptation, socio-cultural adaptation, influencing factors and academic aspiration were the global themes which became the building block for five thematic networks addressing the main and specific objectives of the study. The findings showed that the adolescent migrants of the islands settled in the islands by adopting the integration or assimilation technique. The migrants who initially opted for the integration strategy later moved to the assimilation strategy in the adaptation process. The migrants through social incorporation look for a social identity in the islands and furthermore mirrors a feeling of confidence in the islands setting making them all the more psychologically adjusted contrasted with sociocultural adjustment. Parental impact and the acquisition of the dialect Hindustani encourage their expectation to remain in the islands itself for higher education and job. The findings on the relationship between acculturation and adaptation, academic aspiration and career self-efficacy reveal that lack of educational facilities and the incompetence in the existing educational facilities takes the migrants in a state of confusion. The expectations of the migrants are seen to be in conflict, which makes them hesitant to leave the islands for higher education or employment. The interconnectedness between all these leads the adolescent migrants to assert their identity in relation with their attachment to the islands and prefers to be confined to the islands. Findings highlight the pattern and influencing factors of acculturation and adaptation experiences of the third generation adolescent migrants of Andaman and Nicobar Islands and its impact on their academic aspiration and career self-efficacy. The findings have implications for professionals and scholars who work with migrant adolescents, stakeholders of the islands for framing policies benefitting the adolescent migrants, especially in higher education policy. Suggestions for future research are also included. -
Influence of acculturation on the ambition level of second and third generation migrants of Andaman and Nicobar Islands
Andaman and Nicobar Islands witnessed migration from 1857 during the penal settlement plan of the British Government followed by Independent migration after 1947. Government extended certain facilities to the migrants like job reservation, easy access to government jobs in the Islands, reservation for higher education etc during the 50's, 60's and 70's. Population of the Islands have now reached to an alarming level and the facilities and opportunities have shrunk down, yet people have not changed their mindset rather anything related to their ambition remain in and around the Islands only. This study aims to understand how acculturation has influenced the ambition level of the 2nd and 3rd generation migrants of the Islands. The study proposes to follow the methodology based on grounded theory. Using Theoretical sampling method, second and third generation migrants of the Islands were recruited. Individual interview sessions, lasting approximately 45 to 90 minutes were conducted with the participants to know how acculturation has impacted their ambition level. The transcripts of the interviews were thematically analysed with the help of NVivo 10. The attachment of the migrants to the Islands, their preference about education and ambition and cultural aspect were found to be the major aspects in shaping of ambition of the second and third generation migrants of the Islands. Journal of the Indian Academy of Applied Psychology. -
Theoretical performance evaluation of linear impairments in optical WDM networks with ITU-T defined fibers
This article investigates the performance degradation, in terms of Quality-factor (Q-factor), due to the combined effect of linear impairments, in an optical Wavelength Division Multiplexed (WDM) star network using various ITU-T compliant fibers (G.652, G. 652D, G. 653, G. 654 and G.655), based on the optical frequency grid defined by the ITU-T Recommendation G.692. The simulation results obtained through the developed mathematical model show that in presence of the deleterious effects of the combined linear impairments, compared to other fiber types, Q-factor performance of a G.653 and G.654 fiber is the 'best' and 'worst'. The results also verify that with the use of a fiber having high value of dispersion and attenuation, it may not be possible to obtain the desired performance. 2016 IEEE. -
Impact of monetary policy changes on the Indian stock market and monetary market
Since the stock market is perceived as the channel of transmissions of monetary policy, it is worthy to study the relationship between the Monetary Policy and the volatility of stock prices in the stock market. This study has been conducted with the aim to examine the impact of monetary policy changes on the stock market. The variance methodology is applied in order to achieve the objective of this study. The concept of event window in the methodology involved as the identification of volatility of price in the stock market for11 days (i.e. 5 days before and after event day). The result shows that there is a positive influence on stock market because of change in money policy by the government. The results identified in this work having a signification amount of managerial implication to the different segment of the policy makers in Government, and Stock Market. 2019 Islamic Azad University. -
Modern Technology Usage for Education Field during COVID-19: Statistical Analysis
The COVID-19 pandemic has had vast effects on the concept of education as a whole. During the pandemic, students had no access to physical teaching practices, which had been adapted worldwide as the principal way of education since the 1800's. Due to the restrictions imposed to garner safety from the spread of the virus, this methodology had to be modified based on the situation at hand. Alternatives through the usage of Virtual Learning Platforms (VLP), Online Tutoring Platforms (OTP), Web Conferencing Platforms (WCP) and multiple assessment tools like plagiarism checker, poll sites, quiz platforms, online proctored examinations (OPE) started gaining popularity among all institutes to cope with the limitations levied. The technologies molded a path for student-teacher interaction, performance assessments, document sharing and online tutoring. This research highlights the lack of online tutoring equipment, educators' limited expertise with online learning, the knowledge gap, a inimical atmosphere for independent study, equity, and academic success in postsecondary learning. The goal of this review is to present an overview of available technologies for online teaching that can be used to improve the quality of education during COVID-19. 2022 IEEE. -
A study on key determinants of economic growth during pre and post reform periods in india
Schumpeter says that economic life is a process of growth and change, meaning newlinedevelopment . The process involves interplay of forces or factors of production, viz. land, labour and capital. The understanding of economic growth has improved enormously in recent years. There has been a much greater understanding of the interrelated laws governing the growth of population, the pace of capital accumulation, the rate of technological innovation in an environment characterised by relative scarcity of natural newlineresources. The major determinants of Indian economic growth, identified in this study in terms of their influence on productivity of different sectors are physical capital formation, technological progress, human capital formation, increase in labour force, foreign investment and trade openness. newlineThere are some notable features associated with economic growth in India. One, it is found that the structural adjustments leading to foreign capital inflow and trade openness have fuelled the economic growth in India after economic reforms in 1991. Two, it is observed that exports and imports play a significant role in determining economic growth in India in the post reform period. Three, despite the new growth there are issues like imbalances with regard to employment, manufacturing base, social newlineindicators etc., even as India strives to enhance competitiveness, competence and global relevance. newlineIt is in this context that the present study looks into the major issues and challenges related to the changes in the sectoral composition of economic growth in India over time. It also attempts to identify and discuss the influence of key determinants of economic growth in the pre and post reform periods in India. In this context, it is very crucial to study how different sectors influence the overall growth of a country at various points of its growth trajectory. newlineInterestingly, the analysis shows that the services sector growth has become the highlight of India s changing growth pattern in the post reform era. -
Regression Analysis using Machine Learning Algorithms to Predict CO2 Emissions
Precise measurement of fuel consumption and emissions plays an important role in evaluating the environmental effects of materials and stringent emission control methods, especially within the transportation sector. This sector represents a substantial contributor to both global greenhouse gas emissions and the release of hazardous pollutants, making accurate assessment imperative for addressing climate change. The primary objective is to construct accurate predictive models that estimate CO2 emissions based on vehicle attributes, fostering a deeper understanding of the environmental impact of vehicular activities. Leveraging the 'CO2 Emissions-Canada.csv' dataset, the paper embarks on an extensive journey of data preprocessing, exploratory data analysis, and model training. These algorithms are meticulously fine-tuned and evaluated through metrics such as R-squared and mean absolute percentage error, rendering insights into their predictive accuracies. In essence, this paper pioneers a pathway towards environmentally responsible mobility solutions, capitalizing on the fusion of data science and environmental conservation. 2024 Bharati Vidyapeeth, New Delhi. -
An advanced machine learning framework for cybersecurity
The world is turning out to be progressively digitalized raising security concerns and the urgent requirement for strong and propelled security innovations and procedures to battle the expanding complex nature of digital assaults. This paper examines how AI is being utilized in digital security in both resistance and offense exercises, remembering exchanges for digital attacks focused on AI models. Digital security is the assortment of approaches, systems, advancements, and procedures that work together to ensure the confidentiality, trustworthiness, and accessibility of processing assets, systems, programming projects, and information from attacks. Machine learning-based examination for cybersecurity is the following rising pattern in digital security, planned for mining security information to reveal progressed focused on digital threats and limiting the operational overheads of keeping up static relationship rules. In this paper, we are mainly focusing on the detection and diagnosis of various cyber threats based on machine learning. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. -
Triggers of Changes in Business Processes and Applications: A Systematic Review
Organizations must constantly adapt due to the rapid rate of technological development, market conditions, and customer expectations. The multidimensional world of catalysts that drive changes in corporate processes and applications is explored in this systematic review. Every business must adopt the changes if it wants to compete in the market and outlast its rivals. A wide range of factors, including internal and external forces, can cause applications and business processes to change. These changes are frequently necessary to stay current with the shifting demands of the market, technology advancements, organizational requirements, competitive pressures, legal compliance, environmental and sustainability programs, market trends, and consumer insights. Taking this into account, this chapter attempts to concentrate on the causes of changes in business processes and applications by analyzing the perspective. 2024, Iquz Galaxy Publisher. All rights reserved. -
Improved dhoa-fuzzy based load scheduling in iot cloud environment
Internet of things (IoT) has been significantly raised owing to the development of broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The development of IoT technologies has resulted in a massive quantity of data due to the existence of several people linking through distinct physical components, indicating the status of the CC environment. In the IoT, load scheduling is realistic technique in distinct data center to guarantee the network suitability by falling the computer hardware and software catastrophe and with right utilize of resource. The ideal load balancer improves many factors of Quality of Service (QoS) like resource performance, scalability, response time, error tolerance, and efficiency. The scholar is assumed as load scheduling a vital problem in IoT environment. There are many techniques accessible to load scheduling in IoT environments.With this motivation, this paper presents an improved deer hunting optimization algorithm with Type II fuzzy logic (IDHOA-T2F) model for load scheduling in IoT environment. The goal of the IDHOA-T2F is to diminish the energy utilization of integrated circuit of IoT node and enhance the load scheduling in IoT environments. The IDHOA technique is derived by integrating the concepts of Nelder Mead (NM) with the DHOA. The proposed model also synthesized the T2L based on fuzzy logic (FL) systems to counterbalance the load distribution. The proposed model finds useful to improve the efficiency of IoT system. For validating the enhanced load scheduling performance of the IDHOA-T2F technique, a series of simulations take place to highlight the improved performance. The experimental outcomes demonstrate the capable outcome of the IDHOA-T2F technique over the recent techniques. 2022 Tech Science Press. All rights reserved. -
Studies on color energy and its variations in graphs
This thesis consists of studies on color energy and its variations in graphs. Apart from the exploration of color energy corresponding to various coloring schemes, the notion of P-energy as a generalization of color energy has been introduced. The computation of color energy and P-energy of graphs has been carried out using Python programs, while the general results are derived using research methods and proof techniques in linear algebra. The bounds of color energy for a graph G have been established in terms of several graph parameters such as chromatic number χ(G), domination number γ(G), maximum degree ∆(G) etc. It has been found out that the color energy of a graph G is greater than or equal to 1 n γ(G) p 2(m+m′ c ). Further, the bounds of color energy of a graph G in terms of extreme eigenvalues of color matrix of G have been obtained. -
Studies on color energy and its variations in graphs
This thesis consists of studies on color energy and its variations in graphs. Apart from the exploration of color energy corresponding to various coloring schemes, the notion of P-energy as a generalization of color energy has been introduced. The computation of color energy and P-energy of graphs has been carried out using Python programs, while the general results are derived using research methods and proof techniques in linear algebra. The bounds of color energy for a graph G have been established in terms of several graph parameters such as chromatic number and#967;(G), domination number and#947;(G), maximum degree and#8710;(G) etc. It has been found out that the color energy of a graph G is greater than or equal to 1 n and#947;(G) q 2(m + mand#8242;c). Further, the bounds of color energy of a graph G in terms of extreme eigenvalues of color matrix of G have been obtained. The study on color energy with respect to the minimum number of colors and L(h, k)-coloring has been examined in detail for some families of graphs such as star graph, double star, crown graph and their color complements. We have also examined the variation of color energy in the specific cases of T-coloring and radio coloring for some families of graphs. The examination of color energy corresponding to some improper colorings such as Hamiltonian coloring, open neighborhood coloring and improper C-coloring has also been done. Moreover, the color equi-energetic families of graphs with respect to various coloring schemes have been investigated. The concept of P-energy has been introduced as a generalization of the concept of color energy. This stems from the fact that coloring problems in essence are vertex partition problems. For any vertex partition P having k elements, we define the P-matrix AP(G) having and#8722;1, 0, 1, 2 as off diagonal entries and diagonal entries represent the cardinality of the elements in partition P. Then, the P-energy EP(G) is defined as the sum of the absolute values of eigenvalues of P-matrix of G. -
Model between mind share branding factors and trustworthiness /
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale. -
Algae-Based Nanoparticles for Contaminated Environs Nanoremediation
Currently, the rapidly growing human interference has increased the percentage of pollutants that include organic and inorganic and this has been threatening the ecosystems. Remediation by conventional physicochemical methods, bioremediation has gained immense acceptance due to their ecofriendly, economical, and sustainable approach. Microbial-based nanoparticles act as facilitators in remediating contaminants by microbial growth and immobilization of remediating agents, by inducing microbial remediating enzymes or enhanced biosurfactants that helps to improve solubility of hydrophobic hydrocarbons to create a conducive milieu for remediation. Algal-NPs can be produced easily using low-cost medium and simple scaling up process which is economically feasible. Silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) have been synthesized using Nannochloropsis sps (NN) and Chlorella vulgaris (CV), while, brown seaweeds Petalonia fascia, Colpomenia sinuosa, and Padina pavonica were used with iron oxide NPs along with their aqueous extracts. These applications have shown to be promising alternative bioremediating methods that are safe. Algal-based NPs can act as a pollution abatement device that can help to effectively target the pollutants for efficient nanobioremediation and helps to promote environmental clean-up for eliminating heavy metals, dyes, and other organic and inorganic waste from the environment. 2025 by Apple Academic Press, Inc. -
Optical characterization of oxadiazoles analogues doped PMMA film for photonic application
In the present study, newly synthesized nitrobenzene derivatives (PBT and PBF) doped poly(methyl methacrylate) films were prepared using spin coating techniques, and their optical properties were analyzed. The absorption spectra of various weight percentages (0.02%, 0.1%, 0.2%, and 0.3%) of nitrobenzene derivative-doped polymer films were recorded using a UVvisible spectrometer. From the absorption spectra, optical properties such as refractive index, band gap energy, extinction coefficient, and dielectric constant were calculated. The effect of doping on the optical properties of PMMA was investigated, with results revealing normal dispersive behavior from the refractive index and extinction coefficient. Atomic force microscopy and scanning electron microscopy images indicated that the synthesized films have a low degree of roughness and a smooth surface. Additionally, the nonlinear optical properties of the PBF-doped polymer film were investigated, and the ? value was determined to be 7.403cm/W. Overall, the findings suggest that PBF-doped polymer films are promising candidates for photonic applications. Indian Association for the Cultivation of Science 2024. -
The Nainital-Cape Survey: IV. A search for pulsational variability in 108 chemically peculiar stars
The Nainital-Cape Survey is a dedicated ongoing survey program to search for and study pulsational variability in chemically peculiar (CP) stars to understand their internal structure and evolution. Aims. The main aims of this survey are to find new pulsating Ap and Am stars in the northern and southern hemisphere and to perform asteroseismic studies of these new pulsators. Methods. The survey is conducted using high-speed photometry. The candidate stars were selected on the basis of having Stromgren photometric indices similar to those of known pulsating CP stars. Results. Over the last decade a total of 337 candidate pulsating CP stars were observed for the Nainital-Cape Survey, making it one of the longest ground-based surveys for pulsation in CP stars in terms of time span and sample size. The previous papers of this series presented seven new pulsating variables and 229 null results. In this paper we present the light curves, frequency spectra and various astrophysical parameters of the 108 additional CP stars observed since the last reported results. We also tabulated the basic physical parameters of the known roAp stars. As a part of establishing the detection limits in the Nainital-Cape Survey, we investigated the scintillation noise level at the two observing sites used in this survey, Sutherland and Nainital, by comparing the combined frequency spectra stars observed from each location. Our analysis shows that both the sites permit the detection of variations of the order of 0.6 milli-magnitude (mmag) in the frequency range 1-4 mHz, Sutherland is on average marginally better. 2016 ESO.