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2-(6-Chloro-2,3,4,9-tetrahydro-1H-carbazol-1-yl-idene)propanedinitrile
The molecular conformation of the title compound, C15H 10ClN3, is stabilized by an intramolecular N-H?N hydrogen bond with an S(7) ring motif. The crystal packing is controlled by N-H?N and C-H?N intermolecular interactions. One of the methylene groups of the cyclohexene ring is disordered over two positions with refined occupancies of 0.457 (12) and 0.543 (12). -
Hybrid sparse and block-based compressive sensing algorithm for industry based applications
Image reconstructions are a challenging task in MRI images. The performance of the MRI image can be measure by following parameters like mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM). Compromising the above parameters and reconstructing the MRI image leads to false diagnosing. To avoid the false diagnosis, we have combined sparse based compressive sensing and block-based compressive sensing algorithm, and we introduced the hybrid sparse and block-based compressive sensing algorithm (HSBCS). In compressive stage, however, image reconstruction performance is decreased, hence, in the image reconstruction module, we have introduced convex relaxation algorithm. This proposed algorithm is obtained by relaxing some of the constraints of the original problem and meanwhile extending the objective function to the larger space. The performance is compared with the existing algorithm, block-based compressive sensing algorithm (BCS), BCS based on discrete wavelet transform (DWT), and sparse based compress-sensing algorithm (SCS). The experimentation is carried out using BRATS dataset, and the performance of image compression HSBCS evaluated based on SSIM, and PSNR, which attained 56.19 dB, and 0.9812. Copyright 2024 Inderscience Enterprises Ltd. -
Teleneuropsychometry Solution in Resource-Constrained Setting An Initial Experience in Adults With Brain Tumors
Background. Teleneuropsychometry constitutes a sophisticated technological innovation that enhances access to specialized neuropsychological services for patients situated in geographically remote or resource-limited contexts. When optimally utilized, teleneuropsychometry emerges as an advanced modality for bridging the gap between patient and neuropsychologists, facilitating timely preoperative cognitive evaluations. Methods. The study delineates two case reports of brain tumor patients who underwent teleneuropsychometric assessment prior to surgical interventions while also critically analyzing the complexities inherent in establishing such a service. Results. Both patients successfully completed the assessments with minimal assistance, providing valuable insights into their cognitive abilities. These insights enabled the medical team to customize surgical planning and anticipate potential risks. Conclusion. The findings reinforce the growing body of evidence supporting the feasibility of teleneuropsychometric assessments in a resource-constrained environment and highlights their broader applicability within the domains of neuro-oncology. 2025. Sekar et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC-BY). -
The role of television in the development of the society: Puthiya Thaaimurai, a tamil channel - A case study /
Puthiyathalamurai is a Tamil news channel which is of recent origin. Besides its coverage of news, this channel carries out various social developmental works. In an age when television channels mindlessly pursue after Television Rating Point (TRP) ratings pressurized by business interests and profit motives, the television channels are gradually losing their credibility. In Tamilnadu, television channels have long been the mouthpieces of politicians who own this medium. In this scenario, Puthiya Thalaimurai has taken a different path not allowing itself to be swayed by any political interest and has adopted measures to felicitate development of the society. -
Student and Teacher Perceptions on AI Integration in Indian Higher Education: A Qualitative Stakeholder Study
This study aimed to explore the perceptions of students and educators in Indian universities regarding the integration of Artificial Intelligence (AI) into higher education, focusing on its role in learning and assignments. The research examined the attitudes and beliefs about AI, particularly in terms of its impact on pedagogical approaches and student learning outcomes. Specifically, the study explored the ethical implications, perceived benefits, and challenges associated with AI usage in the Indian educational context. A phenomenological approach was employed, with data collected through semi-structured interviews and focus group discussions involving students and educators across diverse academic disciplines. Thematic analysis identified key patterns in participants' experiences, revealing both enthusiasm for AI's potential to personalize and enhance education and concerns over its implications for critical thinking, privacy, and educational equity. The findings offer insights for the development of AI-related educational policies in India. 2026, IGI Global Scientific Publishing. All rights reserved. -
STUDY OF BOUND AND CONTINUUM STATE BETA DECAY RATES OF A FEW BARE NUCLEI
Beta decay is one of the most widely studied research problems in nuclear physics. There has been a growing interest in understanding the dynamics of beta decay transitions for many decades. Many research groups have invested a lot of time, money and effort in experiments as well as developing the theory for the same. Lot of work was done using Fermis theory and huge amount of data is available in that domain of nuclear physics. But recently, standard model has gained a lot of attention in the eyes of theoretical nuclear physicists and particle physicists to understand nuclear transitions with more importance to gluons mixing and quark mixing by incorporating CKM matrix and PMNS matrix elements. Subsequently, the standard model theory is applied to beta decay to gain a better insight with the application of standard weak interaction Hamiltonian to compute decay rates. The half life and stability of these nuclei depends on decay rates. Also, it gives us an idea about the kind of transitions which happen and which dont. Recent interest in comparison of two modes of beta decay namely, continuum and bound state for same mother and daughter set, paved way for a lot of interesting calculations by various research groups. It is exciting to understand as to how their differences are compared. The aim of this work is to predict continuum and bound state beta decay rates using approach incorporating standard weak theory for some new transitions, which has not been done so far and also compare few decay rates with existing experimental values done by various groups all over the globe. -
An exploratory study on video marketing as a new tool of advertising in digital marketing /
The rate at which New Media technologies are on the rise, directs us to the question how they affect the media business. In areas such as advertising, innovation come and go, resulting in marketing business development, at a faster pace. Today, the cutting edge technology of Video marketing had entered the advertising industry. Consumers are more mobile than ever before and advertisers want to get in touch with them while on the go. Amid all the new developments, video marketing is more and more essential for commodities and services. -
Designing Biomass Rice Husk Silica as an Efficient Catalyst for the Synthesis of Biofuel Additive n-Butyl Levulinate
The conversion of lignocellulosic biomass levulinic acid to biorefinery platform organic component n-butyl levulinate is done by an eco-friendly process. The catalyst used for this reaction was prepared by an innovative strategy of impregnating CeO2 and Sm2O3 on silica derived from rice husk, biomass of low economic value, using different methods. The impregnation of ceria and samaria into the silica framework led to a change in the textural properties which was confirmed by various spectroscopic methods. A comprehensive study of the influence of reaction parameters on the esterification of levulinic acid with n-butanol revealed the optimum conditions for maximum yield and selectivity. In the solvent-free condition, the reaction achieved 94.9% conversion of levulinic acid and 97.2% selectivity of n-butyl levulinate within a duration of 1.5h. The regenerated catalysts were stable and efficient up to four cycles. [Figure not available: see fulltext.]. 2020, Springer Science+Business Media, LLC, part of Springer Nature. -
Role of Sm3+ and Ce4+ on mesoporous rice husk silica for selective oxidation of benzyl alcohol to benzaldehyde
Silica was prepared from rice huskagricultural wasteby soaking and pyrolysis method. Ceria and samaria were impregnated on silica by rotavapor-assisted impregnation method. The physicochemical properties of CeSm/Si catalyst were determined by BET, FT-IR, XRD, SEM, EDX, and n-butylamine titration. Catalytic activity was evaluated by oxidation of benzyl alcohol (Bzl-OH) to benzaldehyde (B-CHO) using H2O2 as an oxidant in acetonitrile medium. Different reaction parameters like time, temperature, solvent, and catalyst amount on the reaction were also studied. Among the various catalysts, 50Ce50Sm/Si showed the impressive catalytic performance with a selectivity of 91.4% to benzaldehyde. The improved catalytic performance was attributed to the well dispersion of ceriasamaria on the surface of silica. These materials can be reused effectively up to four cycles without significant loss in their selectivity. Moreover, excellent selectivity of benzaldehyde in shorter duration using modified rice husk silica catalysts makes this protocol highly attractive and practically beneficial. [Figure not available: see fulltext.]. 2019, Australian Ceramic Society. -
Preparation characterization and applications of mixed oxides ceria-samaria supported on rice husk ash as catalysts for organic synthesis
Catalysis is a well-established scientific discipline, dealing with fundamental principles involved in the preparation, properties, applications and mechanisms of catalytic reactions of various catalysts. The preparation of silica from agricultural waste rice husk is an economical and environmentally benign process. Mixed oxides of ceria and samaria are a multifunctional catalytic system that has attracted wide-range of research in different fields. These mixed oxide catalysts are generally used for redox reactions and acid-base reactions in organic synthesis. The catalytic activity of these materials can be enhanced by using silica as a support system. To achieve the best structural and morphological features, different synthetic protocols were tried out while incorporating CeO2 and Sm2O3 on SiO2 to maximize the catalytic efficacy. In the present study, bimetallic oxides of ceria and samaria supported on silica catalysts were prepared by ultra sonicator, rota vapour method, wet impregnation and incipient wet impregnation methods. Further modification of ceria-samaria-silica catalysts using MoO3, La2O3 and mixed forms of MoO3 and La2O3 led to the formation of tri or tetra metallic mixed oxides on silica system. A detailed physico chemical characterization of the prepared catalysts using different spectroscopic and non-spectroscopic methods was carried out to understand the nature, stability and the functional groups present in the system. The heterogeneous catalytic route for organic synthesis is of major interest as it is sustainable and eco-friendlier. Utilizing biowaste like rice husk and its modified forms to synthesize useful and industrially significant organic compounds has been attempted with success in the present work. Thus, the prepared catalysts were subsequently evaluated for their catalytic activity towards oxidation, esterification, transesterification and Friedel Crafts' benzylation reactions. To achieve maximum yield and good selectivity, the different reaction parameters were optimized for all the reactions that were studied. Oxidation of cyclohexanone with benzyl alcohol to caprolactone and benzaldehyde has been studied after optimizing the reaction parameters. Recycle and leaching studies were conducted to understand the stability and reusability of the catalytic system for the above-mentioned reactions. These catalysts were also found effective in the synthesis of caprolactone, which is an intermediate in the synthesis of biodegrading polymers. Selective oxidation of benzyl alcohol to benzaldehyde too has been achieved using these catalysts. Surface area and acidity have played major roles in these reactions. Finally, dibenzyl toluene was synthesized by benzylation of toluene using benzyl chloride. In all the studies, plausible mechanisms involving the catalyst have also been suggested. Thus, a comprehensive study of rice husk silica-supported ceria and samaria systems and the multi metal oxide silica systems has been conducted and it has proved to be an efficient, recoverable, stable and eco-friendly catalyst combined with simple workup for industrially important organic syntheses. -
Gen z student expectations towards employer attractiveness: An indian perspective
A study was undertaken to determine Generation Z management students' perceptions as to what factors would attract them to seek a career in an organization, and their expectations in this context. Over 330 students from both first- and second- year management programs participated in the self- administered printed questionnaire based on 25- item employer attractiveness scale and included additional items like choosing the top five items from the 25 list. A focus group discussion was also undertaken to determine what the perceived benefit to the students was for each of the 25 items would deliver to them. The study also compared the findings with published research and notes the common factors in terms of employer branding, employee engagement industry studies on work and links to other models like Herzberg's hygiene factors. The results were compared to similar studies conducted in Sri Lanka and Australia and substantive similarities were reported. 2024, IGI Global. All rights reserved. -
Why should businesses care about the metaverse
The fourth wave of computer innovation is now being driven by virtual reality (VR) and augmented reality (AR), two spatial, immersive technologies. The resulting pervasive computing paradigm, which this wave is expected to produce, can change (online) commerce, entertainment, distant employment, and education. This new paradigm is called the Metaverse. Although the metaverse is still in its infancy, history demonstrates how swiftly new technology can advance, potentially leaving those who lag. Digital reality technologies can transform the entertainment industry, remote work, education, marketing, and economics. Additionally, these technologies are starting to create a new paradigm for information exchange. The concept of the Metaverse has given rise to a new paradigm. While it appears that it will take years for the metaverse to reach its full potential, it is currently a phenomenon marked by the activity of hundreds of entrepreneurs who are making noise but producing no noteworthy results. According to many observers, the current uptick in activity by large tech businesses is assisting in bringing some order to the market's volatility by providing startup companies with the dependable mainstream customer bases they lack. In order to provide better and more integrated business processes, metaverse will provide a far more immersive experience to an organization's whole ecosystem of clients, staff, and partners. In light of this, the study's objectives are to comprehend the business prospects in the metaverse, identify relevant business strategies, and forecast future business developments in the metaverse. The study also looks at the challenges that companies have while integrating the metaverse, taking into account different scenarios. 2024, IGI Global. All rights reserved. -
Does risk management components influence on project success? Evidence from IT sector
All organizations and stakeholders would ideally like to see an information technology (IT) project managed successfully. Many researchers have strongly debated the importance of risk management in project management about the size of the project since it gives project managers a forward-looking view of risks and chances to increase the project's success. The main aim of the study is to determine how risk management parameters and their mediated effects impact the effectiveness of IT projects. Data was collected from 261 IT professionals involved in projects through a structured questionnaire and analyzed using regression and SEM to test their statistical significance and prove the hypothesis. The study arrived at some significant results which showed the relationship of Risk Identification and Risk Analysis on Risk Assessment, which impacts Project Success. It also showed that the success of the project depended on Stake-holders Tolerance and Risk Implementation. In addition to this, the study provides evidence that risk management does not influence the success of the project. The study's discovery of the intervening impact of risk management practices clarifies preconceived conceptions in the risk management sector. 2024 Growing Science Ltd. All rights reserved. -
A study on effect of branding on customer buying behaviour with reference to Vellore
We set out to discover how consumers really feel about different branded items by conducting this study. This research aims to examine what variables impact consumers when they buy a product. There are a lot of aspects that affect a product's brand value these days, but consumers are especially sensitive to the product's reputation when making purchases. Another important factor in how people perceive a brand is advertisements. The study was conducted with a sample size of 50 and was confined to the Chennai area. All of the tests performed here made use of SPSS statistical software, and the data used is primary data. 2024 AIP Publishing LLC. -
Investigating the Relationship Among Demographic Profiles and Customer Engagement Cluster Groups on Mobile E-Commerce Applications
Recently, the world is moving towards a new future where most of the communications is happening through the Internet. The use of smartphones has rapidly increased for the past two decades. People show high interest in adopting new technologies in their day to day lives. In order to connect very closely with the customers, many retailers started to expand their businesses with the help of mobile e-commerce applications. The extensive use of mobile phones and the favorable independence of time and location promised the future of mobile e-commerce applications. This created a necessity for the online businesses to understand the factors that influence customer engagement in mobile e-commerce applications. This research was aimed to provide a clear understanding on the factors that affect customer engagement in mobile e-commerce applications with respect to the age, frequency and experience of consumers. The factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalized recommendations were taken into account to understand their influence on the customer engagement in mobile e-commerce applications. These factors were studied with respect to the age group of consumers and they were classified into four groups as follows: below 20years, 21 to 35years, 36 to 50years, 51years and above. Also, the effect of frequency and experience in using mobile applications towards customer engagement in mobile e-commerce applications were studied in this research. The questionnaire with 29 items were sent to 250 respondents through e-mail and other social media platforms and out of which 151 responses were taken into account for the analysis part. ANOVA tests were performed to analyze the influence of age, frequency and experience in using mobile e-commerce applications on the factors like customer satisfaction, utilitarian value, ease of use, hedonic value, trust and personalised recommendations that affect customer engagement in mobile e-commerce applications. To further analyze and group the respondents engagement in mobile e-commerce applications, k-means cluster analysis was performed. Later, ANOVA tests were performed to understand the differences among demographic profiles and cluster groups in customer engagement. From these tests, the moderating effect of age, frequency and experience factors on customer engagement were analyzed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Trait-Driven Persuasion: Investigating the Role of Personality in Shaping Advertising Effectiveness
This study examines how the Big Five personality traits influence consumer responses to different advertising appeals persuasive, rational, emotional, humour, and fear. A descriptive research design with snowball sampling was used to collect data from individuals (n = 120). Standardized self-report questionnaires were administered, including a demographic information form, a Big Five personality measure (assessing extraversion, agreeableness, conscientiousness, neuroticism, and openness), and scales evaluating perceived effectiveness of five advertising appeals; overall internal consistency was acceptable for exploratory research (Cronbachs ? = .65). Correlation analysis and structural equation modelling (SEM) were conducted. Results reveal distinct associations: agreeableness aligns with humour appeal, neuroticism with emotional and fear appeals, conscientiousness with rational and persuasive appeals, extraversion with fear appeal, and openness with humour appeal. These findings contribute to personality-driven marketing research by providing empirical evidence on how individual differences shape advertising effectiveness. The study highlights implications for advertisers seeking to design targeted and psychologically congruent campaigns based on personality segmentation. Advertisers can apply personality-driven segmentation to design psychologically congruent campaigns. 2026, Institute of Applied Psychology, University of the Punjab Quaid-eAzam Campus. All rights reserved. -
AI-Driven Energy Efficiency in Buildings and Urban Environments
In buildings, AI-driven energy management systems (EMS) are revolutionizing the way energy is consumed. Smart building technologies equipped with AI can monitor environmental conditions, occupancy patterns, and equipment performance to fine-tune their operations, leveraging intensive machine learning to learn the preferences of building occupants and adapt accordingly to ensure comfort while minimizing energy use. Predictive maintenance, powered by AI, also contributes to energy efficiency by identifying equipment that operates inefficiently or is at risk of failure, enabling timely interventions that prevent energy waste. The industrial sector, a significant consumer of global energy, is another arena where AI is making remarkable strides in enhancing energy efficiency. 2026 by IGI Global Scientific Publishing. All rights reserved. -
State-of-the-Art of AI-Driven Smart Technologies
Emergence as a transformative force has redefined the contours of technological innovation across industries and societies. AI-driven smart technologies-ranging from intelligent personal assistants and autonomous vehicles to predictive healthcare systems and smart infrastructure-have transitioned from futuristic concepts to integral components of everyday life. The convergence of other and 5G networks has accelerated intelligent capabilities, including perceiving, reasoning, learning, and real-time. These technologies are designed not merely to automate tasks but to personalize experiences, optimize utilization, and operational efficiencies across multiple domains. The rise of smart technologies is rooted in the rapid growth of algorithms, neural networks, cognitive computing, and autonomy. In the domain of consumer electronics, AI evolution is where thermostats work collaboratively to offer convenience, security, and energy efficiency. These systems can learn user preferences over time, automate routines, and alerts recommendations. 2026 by IGI Global Scientific Publishing. -
Impact of WO3:CeO2@MXene/gC3N4 nano disk on sunlight-driven photocatalytic removal of fluoroquinolone antibiotic and high-performance supercapacitor application
This research highlights the use of a WO3:CeO2@MXene/gC3N4 (MGWC) nanodisk as a versatile material. MGWC demonstrates efficient photocatalytic degradation of moxifloxacin (MOF) in water under sunlight and also shows great promise for high-performance supercapacitor applications. MGWC was synthesized using a modified hydrothermal method and thoroughly characterized using various techniques. The MGWC showed a band gap energy of 2.79eV determined through UVVis DRS analysis and an average crystallite size of 39.6nm calculated from XRD. A promising photocatalytic activity was observed for the degradation of MOF, outperforming other photocatalysts. Additionally, preliminary studies examined variations in catalyst concentration, pH, kinetics, electrolytes, scavengers, reusability, and TOC, contributing valuable insights. Under optimal conditions, the MOF achieved almost complete degradation, reaching about 99.7% within 180min using the MGWC photocatalyst. Additionally, MGWC exhibits promising potential in supercapacitor applications. EIS and CV studies have been used to examine MGWCs exceptional charge transfer properties. CV tests confirm the pseudo-capacitive nature of MGWC electrodes. GCD studies of MGWC exhibit a high specific capacitance of 551 F/g at 1 A/g with incomparable capacitance retention of 98.1% over 10,000 cycles. This research not only aids in reducing emerging environmental pollutants but also sets the stage for sustainable energy solutions. The Author(s), under exclusive licence to Korean Carbon Society 2025. -
Performance analysis of Flyash with Bentonite in grounding pit
In modern era of power systems, generation, transmission and distribution is well operated and maintained to satisfy the demand and supply management. Various problems are faced every day in all the power system areas. One among the problems faced in all the high voltage electrical equipment's is grounding. Natural grounding is done using charcoal and salt to maintain the less resistance in the grounding pit but the less resistance grounding pit becomes high resistive area due to various reasons like improper maintenance, charcoal and salt getting dissolved in soil after some period of time. In this paper a new method of grounding which uses Flyash and Bentonite is proposed and the performance is been analyzed by various standard methods. 2016 IEEE.