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Managing with Machines: A Comprehensive Assessment on the Use of Artificial Intelligence in Organizational Perspectives
This complete study, delves into the multifaceted impacts of artificial Intelligence (AI) inside organizational settings, highlighting its ability and demanding situations. The investigation spans numerous aspects along with AI-driven customer relationship management (CRM), employee productivity, and overall performance enhancement thru AI. By analyzing distinct AI applications and methodologies across different organizational functions, this studies presents insights into how AI can transform industries, decorate CRM, improve employee productiveness, and foster sustainable development. Despite the promising programs, the study also addresses the pitfalls and enormous hesitancy in AI adoption due to disasters in some high-profile AI projects. The paper underscores the significance of strategic AI integration, context-consciousness, and the want for organizational readiness to leverage AI's full capability whilst aligning with the Sustainable improvement goals (SDGs). 2024 IEEE. -
Regression Analysis on Macroeconomic Factors and Dividend Yield on Bank Nifty Index Returns
The study has examined an impact of macroeconomic variables and dividend yield on Bank NIFTY Index. It analyses the relationship amongst macroeconomic variables and dividend yield. The study used quarterly data from 1 January 2010 to 31 December 2019. It employed statistical measures like regression analysis to analyse the impact of independent variables (macroeconomic factors and dividend yield) on the dependent variable (Bank NIFTY returns) and multicollinearity tests to understand the relationship amongst the independent variables. The observations concluded that GDP, government bond yield and dividend yield have a significant impact on Bank NIFTY returns but CPI does not have a significant impact on Bank NIFTY returns. We can also conclude that all the independent variables are not correlated to each other. The study suggested to policy makers, in India, that they should maintain economic stability through policies of growth that will eventually boost the banking sector and the economy. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
PE-v-SVR based Architecture to Predict and Prevent Low and Slow-Rate DDoS Attacks using Machine Learning
Distributed Denial of Service (DDoS) attacks continue to emerge; low and slow attacks pose a serious threat. These small-scale attacks often evade traditional security protections and increase the risk of long-term outages and loss of service. Our research aims to develop effective predictive models and strategic defences to detect and mitigate slow DDoS attacks. The proposed model combines Power Spectral entropy and V-Support Vector Regression. More importantly, the version achieves the first-class error price in the variety of zero to at least one, demonstrating its effectiveness in detecting and predicting DDoS attacks. Research results show the effectiveness of the proposed design using PSD (power spectral density) entropy and V-SVR. The best mean square error obtained further confirms the ability of the model in this context. V-SVR in low and sluggish DDoS assaults. 2024 Bharati Vidyapeeth, New Delhi. -
SemKnowNews: A Semantically Inclined Knowledge Driven Approach for Multi-source Aggregation and Recommendation of News with a Focus on Personalization
The availability of digital devices has increased throughout the world exponentially owing to which the average reader has shifted from offline media to online sources. There are a lot of online sources which aggregate and provide news from various outlets but due to the abundance of content there is an overload to the user. Personalization is therefore necessary to deliver interesting content to the user and alleviate excessive information. In this paper, we propose a novel semantically inclined knowledge driven approach for multi-source aggregation and recommendation of news with a focus on personalization to address the aforementioned issues. The proposed approach surpasses the existing work and yields an accuracy of 96.62% 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Tourism Crossroads and Tribal Knowledge System: A Narrative of Vulnerabilities and SocioEthnic Dynamism in Mizoram
Tourism development trajectories and indigenous knowledge systems meet in discordant ways among tribal communities in Mizoram, Northeast India, and have advantages and disadvantages in the perpetuation of culture. Qualitative analysis and case study methodology have been used to examine the sociocultural mechanisms employed by the Mizo community in the negotiations with external tourism pressures that help maintain cultural integrity. Tlawmngaihna (selflessness) is the ethical philosophy that guides Mizo society's adaptation to external influences. The complete ethical system is applied to hospitality and all aspects of interpersonal relationships, conflict resolution, resource management, and cultural traditions. Findings show manifestations of great transformation in cultural expressionstraditional festivals like Chapchar Kut and indigenous dances must pay attention to tourism calls. Risks to indigenous intellectual property, lack of tribal autonomy, skewed economic outcomes, and disruption of knowledge transmission systems are specific to tribal territories as tourist destinations. Community-based approaches oriented towards local ownership, governance structure, equitable benefit sharing, and indigenous intellectual property protection are crucial for sustainable tourism development. It highlights the socio-ethnic dynamics of cultural transformation in the Indian communities within the tribal setting, with changing relationship dynamics of power generation, gender roles, and generational ties. Proposals are made for practical frameworks for balancing economic development and maintaining sophisticated tribal knowledge systems in tourism contexts. By analyzing the results, the government (policymakers), tourism stakeholders, and tribal communities involved in the difficult decision to balance cultural preservation with tourism revenue will be informed of the delicate balance that must be reached in an increasingly globalized tourism landscape. 2026 selection and editorial matter, Debanjana Nag and Kusum; individual chapters, the contributors. -
Blockchain Technology for Mitigating Copyright Infringement on OTT Platforms through the PRISMA Model
Copyright infringement has been a rampant issue on OTT (Over-the-Top) platforms and post-COVID-19 pandemic. Continuous infringement, illegal streaming, and piracy have contributed to 87 billion INR (Indian rupees) in the piracy economy through OTT platforms. Copyright and its protection regime need upscaling through Blockchain technology as a highly monetized and important asset. This paper identifies key gaps in the ongoing research on applying Blockchain technology to mitigate copyright infringement on OTT platforms through the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) model. It creates a techno-legal framework to enhance this application and make it more compliant with the existing copyright laws. The study further showcases the absence of legal implications in the existing studies surrounding Blockchain technology, making them a base for the proposed framework. The proposed framework can be further used to create a robust copyright portfolio for OTT platforms while testing their relevant advancements in Blockchain technology in line with legal and commercial necessities. 2025 IEEE. -
A Feminist Perspective on the Food and Gender based Marketing Narrative
Nutrition to the body is a basic element for sustenance and growth biologically, provided through food. This paper aims to understand why there is a difference between foods that are marketed gender-specifically to males and females separately. There have been a lot of participative changes in the household kitchen activities since the birth of the concept. However, certain things have continued to remain the same either as a result of tradition, preference, or systemic societal loop. This paper aims to categorically understand this patterned behaviour behind gender based food marketing and the consequent consumptions so as to find a more sustainable and inclusive approach for food marketing for the firms of this industry. The aim is also to shed light on the impact of such practices on the psychological level of the individual buyer that stems to form a pattern, creating a recurring practice out of habit, over internal choice. The Electrochemical Society -
InclusiVision: Exploring Deep Learning Techniques for Enhanced Audio Description Generation
The rise of technology has facilitated access to entertainment media in various formats like audio, images, videos, and memes. This diverse multimedia landscape, however, poses challenges for visually impaired individuals who primarily rely on auditory means and cannot consume the visual content freely available today. InclusiVision addresses this challenge by introducing audio descriptions (AD) generated through advanced technology for images and short videos. These narrated verbal descriptions provide details about visual elements such as people, objects, colors, and settings, making the content more accessible and comprehensible for the visually impaired. To enhance accessibility, InclusiVision offers two essential phases: the Image Description phase, which generates short audio descriptions for images, and the Video Description phase, which employs algorithms to narrate key visual aspects in short videos. Both the image and video captioning generate short captions explaining key points of the visuals. It employs basic encoder-decoder modeling to help achieve the task. Hence, the primary objective of InclusiVision is to promote accessibility and inclusivity in entertainment and educational media by providing contextually relevant audio descriptions. 2026, Bentham Books imprint. -
The impact of excess CSR expenditure on firm value anddividend payout in India: ananalysis using firm age andsize dynamics
Purpose: The paper looks at the impact of excess amount of CSR expenditure (CSRE) in relation to mandatory CSRE in an Indian context on dividend payout (DP) and firm value (FV) where CSRE is mandatory, as well as how this relationship varies between firms based on their age and size. Design/methodology/approach: A sample of the 657 companies listed on the National Stock Exchange (NSE) from 201415 to 202021 is used in the study, for which spending on CSR was mandatory. A two-step generalised method of the moment is employed to examine the relationship between the variables of interest. Findings: The results show that excess CSREs neither increase the firms valuation nor benefit shareholders' economic benefits, i.e. dividend distribution. However, a deeper analysis reveals that excess CSRE is positively associated with FV in the case of smaller firms and also positively corresponds with DP in the case of younger firms. Originality/value: The present study explicitly considers the excess CSR spending beyond the mandated requirements. It investigates whether such spending contributes to firms improving their valuation and explores its connection to DPs. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0136 2024, Emerald Publishing Limited. -
The impact of excess CSR expenditure on firm value anddividend payout in India: ananalysis using firm age andsize dynamics
Purpose: The paper looks at the impact of excess amount of CSR expenditure (CSRE) in relation to mandatory CSRE in an Indian context on dividend payout (DP) and firm value (FV) where CSRE is mandatory, as well as how this relationship varies between firms based on their age and size. Design/methodology/approach: A sample of the 657 companies listed on the National Stock Exchange (NSE) from 201415 to 202021 is used in the study, for which spending on CSR was mandatory. A two-step generalised method of the moment is employed to examine the relationship between the variables of interest. Findings: The results show that excess CSREs neither increase the firms valuation nor benefit shareholders' economic benefits, i.e. dividend distribution. However, a deeper analysis reveals that excess CSRE is positively associated with FV in the case of smaller firms and also positively corresponds with DP in the case of younger firms. Originality/value: The present study explicitly considers the excess CSR spending beyond the mandated requirements. It investigates whether such spending contributes to firms improving their valuation and explores its connection to DPs. Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0136. 2024, Emerald Publishing Limited. -
Advances in Food Packaging with Nanotechnology-Enhanced Biomaterials
The growing concern about food safety and the need for environmental sustainability has triggered the shift from traditional plastic packaging to eco-friendly packaging materials derived from biological resources, enhanced with nanotechnology. Different challenges, such as low mechanical strength, thermal instability, barrier properties and microbial susceptibility, are being observed in traditional packaging. In this chapter, we discuss nanomaterials that are integrated with biopolymers for food packaging to address these issues and increase their physicochemical properties, functionalities, as well as practical applications. Biopolymers such as polylactic acid (PLA), chitosan, gelatin, cellulose and starch-based films, are increasingly being used and further reinforced with organic nanoparticles (nanocellulose, nano starch, carbon dots, and protein nanoparticles) and inorganic nanoparticles (silver, zinc oxide, titanium dioxide etc.) are addressed in the chapter. This chapter classifies and analyses nanomaterials according to their origin and function, demonstrating the enhancement of barrier properties, antimicrobial activity, UV shielding, and thermal resistance in nano-biocomposites. Special attention is paid to their application in smart packaging systems, including active systems that release antimicrobials or antioxidants and intelligent systems containing nano sensors that check for freshness and contamination. Examples of enhanced shelf life and quality preservation are discussed in fruits, vegetables, dairy, meat and bakery goods. The chapter also examines important safety, nanoparticle migration, toxicity regulatory issues, and the environmental impact, highlighting the emerging need for globally unified rules. To sum up, the worlds targets for sustainable food systems, reducing waste, consumer health protection and safeguarding public health are enabled by nano-biomaterials, making it the most suitable innovative solution to the challenges of packaging. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Microbial degradation of textile dye reactive blue 250 (RB 250) by the novel Pseudomonas aeruginosa RGB11: a sustainable approach
Untreated textile effluent discharge has increased due to rapid industrialization and human activity, posing a serious and growing threat to environmental well-being over the past few decades. This study isolates a novel bacterial strain, Pseudomonas aeruginosa RGB11, from sewage sludge capable of degrading the azo dye Reactive Blue 250 dye (RB 250) as identified via 16S rRNA gene sequencing. Decolorization of RB 250 was tested in Minimal Salt Media (MSM) throughout the studies. Under static conditions, pH 7, and 37C, the dye showed 88.91% decolorization after 24h, which increased to 96.27% at pH 9 and 93.15%at 45C. Adding 1% w/v sucrose and yeast extract as carbon and nitrogen sources increased the decolorization to 96.83% and 97.54%, respectively. A study on growth kinetics over 8h showed that as the Optical Density (OD) of bacteria increased at 600nm, the absorbance of the dye decreased at 604nm, indicating the bacterial role in the decolorization process. FT-IR analysis of the metabolite extracted after decolorization revealed the shift in the intensity of the characteristic peak of the RB 250 dye and the formation of new peaks, which can be attributed to the degradation of dye and generation of intermediates in the decolorized solution. The LCMS study further confirms degradation as the parental peak in the dye disappeared and smaller new peaks were observed, possibly due to breakage of characteristic bonds in dye like the azo bond. Haemolysis test on blood agar demonstrated gamma haemolysis confirming that the novel strain of Pseudomonas aeruginosa RGB11 doesnt produce haemolysins and is a non-pathogenic strain. Thus, emphasizing the efficiency of Pseudomonas aeruginosa RGB11 as potential candidate for dye decolourizer for textile effluents. It has immense potential to serve as a contributor to environmental studies by providing a means of sustainable bioremediation for textile effluents. The Author(s) under exclusive licence to Sociedade Brasileira de Microbiologia 2025. -
Artificial Intelligence Technological Revolution in Education and Space for Next Generation
The goal of this research is to discover the various potential for the educational system using artificial intelligence (AI). The world today is dealing with AI in different sectors. This study specifically looked into the prospects for acquiring efficient and high-quality education for each student, automating administrative tasks, including regulating adaptive student support systems. AI has been leveraged and used in the education sector in various formations. AI initially took in the form of computers with the cognitive model, transformed to online learning, together with other technologies, the use of AI provides chatbots to perform instructors. Imagine you can access your classroom from anywhere at any time through an online learning system. These functionalities enable the education system to deal with the curriculum effectively. Using these facilities, teachers instruct the students to desire to achieve their goals efficiently. The primary aim of this article addresses the concepts in AI that serve to regulate and improve the overall quality of academic performance. The secondary aim of this article is to discuss AI involvement in the space domain. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Dynamic vibrational analysis on areca sheath fibre reinforced bio composites by fast fourier analysis
Natural fibre reinforced bio composites [6] are good alternative for conventional materials. Natural fibres are cheaper in cost, environmental friendly and biodegradable. In this project work the effect of varying fibre length is studied and Fast Fourier Technique is used for the analysis of dynamic frequency response. The naturally extracted areca sheath fibres are used as a reinforcement and epoxy L - 12 is used as polymer matrix. Fabrication is done by using hand lay-up method and compression molding technique at 100 - 110 bar pressure and 140 - 150C temperature. Each specimen is cured for 24 h and then test specimens were cut according to ASTM standards i.e., 150 X 150 mm in length and breadth. The dynamic frequency response of specimens with varying fibre length of 29, 27 and 25 mm and thickness 4, 3.5 and 2 mm is obtained by modal analysis. Finite Element Analysis for all specimens is carried out by ANSYS 14.5 and results are compared with the experimental values. These natural areca fibre reinforced polymer matrix composites are defined for particular applications based up on the mechanical and vibrational characteristics obtain from the experimental results. 2018 Elsevier Ltd. All rights reserved. -
Explanations for anomalies in semi strong from of efficient market hypithesis
The tradition notion of efficient market described in the academic literature is quite strong and probably is unrealistic because of following factors: short selling, short covering, fresh buying and profit booking. After all, science is just a human idea about phenomena which can change over time. In real markets, traders can cause markets to be inefficient. According to verifiability newlinetheory of meaning, most of statements are meaningless such as prices reflect earning .in order to make a statement meaningful that statements have to be tested with all ideas related to it. Researcher is testing EMH under various conditions to make meaningful. In this study, researcher is testing so called semi strong under market condition and firm size which is based upon market capitalization. National stock exchange provides classification of companies based newlineupon market capitalization. This is an event study to study stock return to earning newlineannouncements in recession and post recession periods. In other words, testing so called semi strong under market conditions and firm size of market capitalization such as large cap, mid cap and small cap. Researcher uses AARs, CAARS and T-test to study the impact of earning announcements on stock returns. Result of this study shows its onerous to accept semi strong so Fama received the Nobel prize in economics for what? -
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On a Mixture of the Lindley and Modified Lindley Distributions: Properties and Estimation
In this article, we investigate a novel three-parameter lifetime distribution constructed from a mixture of the original Lindley and modified Lindley distributions. The concept behind this construction is to combine the contrasting properties of these two well-known distributions to provide a new statistical modeling option for lifetime data analysis. In particular, it provides a natural alternative to the three-parameter, two-component mixture of the Lindley distribution, which has attracted attention in the recent statistical literature. We investigate its main properties from both a theoretical and practical point of view. The shapes of the corresponding probability density and hazard rate functions and the formulas for the moments, moment generating functions and characteristic functions are discussed. The distribution is then subjected to statistical analysis, considering it as a semi-parametric model. The maximum likelihood approach is used to estimate the parameters. In a simulation analysis, the numerical behavior of the bias and the mean square error of the obtained estimates are studied. The new model is tested on three data sets and the results show that it has a better fit behavior than its main competitor, the three-parameter two-component mixture of the Lindley model. 2025 YU -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Theory and Applicability of the Weighted Modified Lindley Distribution
As a bridge between the exponential and Lindley distributions, the modified Lind-ley distribution was created. It has been used successfully in a variety of fields related to survival analysis. In this study, we present a novel distribution that extends the modified Lindley distribution using the traditional weighted (or length/size-biased) approach. It is named as weighted modified Lindley distribution. This idea is mainly used to flexibilize the former modified Lindley distribution through the use of a one-parameter polynomial weight. This weight is intended to modulate the functionalities of the new distribution, well beyond those of the former modified Lindley distribution. The related probability density function, cumulative density function, hazard rate function, moments, moment generating function and characteristic function are analysed from a theoretical and practical point of view. Estimation of the parameters is done by the classical method of maximum likelihood and a simulation study is carried out to check the consistency of the maximum likelihood estimates. A data set is used to illustrate the application of the proposed distribution. 2022, Society of Statistics, Computer and Applications. All rights reserved. -
New discrete trigonometric distributions: estimation with application to count data
In this research, we contribute to the development of original discrete distributions for count data analysis. We elaborate four new and different discrete trigonometric distributions with two parameters based on a discretization of the so-called sin-Weibull, cos-Weibull, tan-Weibull, and type II tan-Weibull distributions. We investigate the advantages of the proposed distributions and their trigonometric nature for capturing count data. In particular, some fundamental distributional properties of the discrete sin-Weibull distribution are derived. Subsequently, we turn it into a statistical model. Parameter estimation by the maximum likelihood and proportion of zeros and ones methods are then discussed. A simulation study is carried out to evaluate some frequentist properties of the developed methodology. As the study focuses mainly on the practical aspect, the applicability of the proposed models is evaluated using real-count datasets from various fields. 2024 Informa UK Limited, trading as Taylor & Francis Group.