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Text-Based Sentimental Analysis to Understand User Experience Using Machine Learning Approaches
Data Analysis is turning into a driving force in every industry. It is a process in which data is analyzed in multiple ways to come to certain conclusions for the given situation. Sentiment analysis can be said to be a sub-section of data analysis where analysis is carried out on the emotions and opinions of the text. Social media has a plethora of sentiment data in various forms such as tweets, updates on the status, and so forth. Sentiment analysis on the huge volume of data can help in identifying the opinions of the general mass.The primary goal is to find the opinion of customers on the services of the Bangalore airport and to enhance the nature of these services according to the feedback provided. In this paper, we aim to measure customer opinion on services provided by Bangalore Airport through sentiment. Data is collected by a python-based scraper. The tweets are processed to determine whether they are of positive or negative opinion. These opinions are then analyzed to determine the factors which cause the negative opinions and the airport staff are alerted about the same. Various algorithms were used as part of the experimental analysis. LSTM produces more accuracy compared with existing approaches. 2023 IEEE. -
Textile tourism and the challenges of the indigenous handloom sector in Northern Kerala
This study investigates the functioning of indigenous handloom enterprises and their relationship with textile tourism. It also explores the regional textile industry and the challenges weavers encounter in promoting their goods to visitors and exporters. Data was collected using a purposive sampling method, and a structured questionnaire was administered to 120 weavers from four textile weaving centers in Kozhikode, Kerala. The most significant obstacle for weavers and independent producers is the lack of direct communication with customers and the limited access to information provided by manufacturers, corporations, and gallery owners. Firstly, handcrafted items are becoming more accessible and affordable; secondly, the interest of the younger generation is gradually fading, which reduces the number of skilled professionals. The result of this study provides insight into how Khadi Textiles has the potential to contribute positively to socioeconomic achievements and enhance weaver's and destination image. 2024, IGI Global. All rights reserved. -
Textual and media-based self-learning modules: Support for achievement in algebra and geometry
Owing to the importance of a subject like mathematics in the teaching and learning of science, self-learning often poses a challenge to the educator. The objective of this study is to analyse the enhancement of the textual and the media form of self-learning modules to teach algebra and geometry to eighth graders considering their retention levels. A pre-Test post-Test single-group quasi experimental design was tested and tried out on 49 participants of a school. The 20 modules of self-learning material covering content in the topics of algebra and geometry in the textual and media-Assisted forms of self-learning were administered over three months. The findings of the study revealed the ability of media-Assisted self-learning modules to enhance achievement in the post-Test when compared to the pre-Test. The textual-Assisted learning modules were able to enhance significant difference in the achievements in geometry, but not of algebra. The delayed post-Test results were found to indicate an improved achievement in mathematics. 2022 IGI Global. All rights reserved. -
Texture-Based DNN for Pneumonia in Thorax X-Rays
This paper introduces an innovative methodology for identifying pneumonia in thoracic X-ray images through the application of neural network classifiers. In our experiment, we employed a comprehensive training regimen involving multiple neural network classifiers, each trained on distinct sets of texture features meticulously extracted from thoracic X-ray images. Four different gray-level matrices and a neighboring gray-tone difference matrix (NGTDM) were used to generate these input features, guaranteeing a reliable depiction of the textural properties found in the X-ray pictures. We carried out an extensive evaluation utilizing a number of performance criteria to gauge the trained classifiers' efficacy. Classifying the thoracic X-ray pictures into two groups pneumonia and healthy state was the assignment assigned to the classifiers. A thorough study of the classifiers' performance was provided by our assessment measures, which comprised accuracy, precision, recall, F1-score, and the area under the receiver operating characteristic curve (AUC-ROC). The experimental findings showed that the suggested method accomplished a remarkable 91% overall test categorization accuracy, which was encouraging. This degree of precision highlights how well our approach works to accurately diagnose pneumonia from thoracic X-ray images. Furthermore, the consistent performance across different metrics highlights the robustness and generalizability of the proposed strategy. 2025, Iquz Galaxy Publisher. All rights reserved. -
THAYIL, JEET (1959-)
[No abstract available] -
The (Pk,I) Transformation Graph of a Graph
A study on graphs that are derived from graphs based on the intersection of all k-paths of a graph G is initiated. The (Pk,I) transformation graph of paths, cycles, Pn?pK1 and Cn?pK1 is discussed. Also, certain structural properties of the newly constructed graph are also discussed. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
The 90-h workweek controversy at L&T: leadership, culture and the future of work in India
Learning outcomes Upon completion of this case, students will be able to understand the implications of psychological contract theory in organizational contexts. It will allow them to analyse how leadership communication affects internal trust and public perception and critically evaluate the reputational consequences of symbolic leadership behaviour. Case overview/synopsis S.N. Subrahmanyan, Chairman and Managing Director of Larsen & Toubro (L&T), Indias leading engineering conglomerate, made a public statement encouraging employees to work 90?h a week and use Sundays to achieve global excellence. Although intended as a motivational message, the statement triggered nationwide backlash. Employees, industry leaders and the public interpreted the comment as reflecting an outdated, unsustainable work culture, sparking debates around worklife balance and generational shifts in employee values. Internally, the comment created anxiety and ambiguity regarding the companys expectations, especially among younger professionals. The case will allow students to examine how leadership communication can reshape psychological contracts, explore generational tensions in the workplace and evaluate how organizations should respond to reputational challenges while preserving performance culture. The case dilemma centres on whether L&T should clarify, retract or reinforce the chairmans statement. Complexity academic level This case is appropriate for upper undergraduate- and graduate-level programs in organizational behaviour, strategic human resource management, business ethics and leadership studies. Potential programs include, BBA, MBA HR and industrial and organizational psychology. Supplementary Material Teaching notes are available for educators only. Subject code CSS 6: Human Resource Management. 2025 Emerald Publishing Limited -
The Accountability of Stakeholders in Combating Domestic Violence with Women in India
As per the Hindu tradition, women are considered as ardhangini and the western civilisation considers them as better half. Since ancient times, women have been considered as the epitome of love, kindness, care and above all the mother of mankind. But on the contrary, the most terrible and horrifying cruelties are imposed upon her. The predominant type of violence which is inflicted upon a woman is domestic violence also known as intimate partner violence. According to the World Health Organisation, almost one third, i.e., 27% of the women aged between 15 and 49 years, who have been in a relationship report that they have been subjected to some form of physical or sexual violence by their intimate partner. The issue of domestic violence has been addressed at both international and national levels, but still there exists a persistent gap in enforcing and implementing them. And this can be easily proved from the continuous rise in the cases of domestic violence worldwide, especially during the COVID times. The problem that needs to be addressed at hand is the role of several accountable stakeholders involved in the process of providing access to justice to the women affected by domestic violence. According to the Protection of Women from Domestic Violence Act (2005), in India, the several stakeholders include the protection officers, service providers, lawyers, police officers, shelter homes and judges. These are the people with whom the power to protect and help the women are vested, but instead the affected women fall a prey to this system due to various reasons like lack of resources, fewer power and many more which will be further discussed in the article. 2024 selection and editorial matter Dr. Shilpi Sharma and Baidya nath Mukherjee; individual chapters, the contributors. -
The accumulation, antioxidant defences, and secondary metabolite production in common sage (Salvia officinalis L.) under lead toxicity
The growing levels of lead (Pb) in agricultural soil and water bodies as a result of industrialization and human activity present serious challenges for medicinal plants. The present study investigates the complex responses of Salvia officinalis to toxicity caused by Pb including metal accumulation, translocation dynamics, antioxidant defenses, and the production of secondary metabolites. Pb showed preferential accumulation in the roots, peaking at (1000 ppm Pb) (2484.2 mg kg-1). The reduced levels of total chlorophyll (1.29-fold), protein (1.9-fold), and carbohydrate (2.5-fold) under prolonged exposure to stress demonstrate the toxic impacts of lead. Proline and total phenolic content (TPC) increased concentration-dependently under lead stress, while flavonoids were found to be decreased with the enhancement of lead toxicity. Enzymatic antioxidants (catalase, APX, and SOD) showed notable increase, especially in the 30 days of treatment, demonstrating the plants strong defenses. S. officinaliss adaptive responses were highlighted by concentration-dependent increases in non-enzymatic antioxidants such as total antioxidant capacity (TAC) and DPPH radical scavenging activity. Crucially, under lead stress, S. officinalis showed 1.7-fold increased rosmarinic acid (RA) production, in plants exposed to 200 ppm for 30 days treatment. However, further exposure to lead significantly caused the reduction of RA production. The results add to our knowledge of how sage plants respond to environmental stress and offer important insights for future uses in phytoremediation and the breeding of stress-tolerant plant cultivars. Furthermore, the research highlights about the S. officinaliss potential as a source of bioactive compounds possessing antioxidant qualities, under low levels of lead stress. 2024, Indian journals. All rights reserved. -
The Adoption of AR and VR Emergency Room Procedures
[No abstract available] -
The Adverse Impact of Yellow Disease of Leaves in Different Plant Species
Yellow Leaf Disease (YLD), or chlorosis, reduces crop health and productivity, affecting plants like citrus, wheat, and bananas. This study reviews the causes of YLD, including bacterial, viral, and fungal infections, along with poor nutrition and environmental stress. It highlights the importance of early detection through novel methods like molecular diagnostics and remote sensing. The review also stresses the need to understand the interaction between disease, nutrition, and environment for effective management. Breeding YLD-resistant crops is proposed as a potential solution. This work serves as a foundation for future research to mitigate YLD's impact on agriculture. Grenze Scientific Society, 2025. -
The aesthetics of corpses in popular culture
[No abstract available] -
The Algorithmic Gaze: Power, Surveillance, and Despotism in the Digital Workplace
This chapter investigates the ways that algorithmic technologies reconfigure workplace authority by changing how we think about surveillance, evaluation, and control in data- driven management practices. Drawing from and reconceptualising Foucaults Panopticon and Zuboffs Surveillance Capitalism, it contends that the algorithmic gaze creates an invisible governance system, where trust and autonomy are replaced by quantification. Through case studies in service, fintech, and logistics sectors, the analysis highlights how discourses of efficiency and performance sustainability legitimise digital despotism, bias, and workers self- monitoring. The chapter concludes with a framework for digital humanism, which articulates ethical, transparent, and participatory governance and management, which can restore human dignity and agency in algorithmically mediated labour. 2026 by IGI Global Scientific Publishing. All rights reserved. -
The analogy of nanoparticle shapes on the theory of convective heat transfer of AuFe3O4 Casson hybrid nanofluid
In recent times, Au nanoparticles have beencommonly used for delivering the drug especially in the case of hypothermia of tumors, but low absorption of IR light does not solve destruction of tumor cells. However, nanoparticles such as Fe3O4 coated with Au could be used to deliver the drug to a specific spot due to applied external magnetic field. Due to these applications, boundary layer approximation is invoked to simplify the mathematical model. This paper presents the nanoparticle shape analysis and heat transfer features of the AuFe3O4blood hybrid nanofluid flowing past a stretching surface on a magnetohydrodynamic medium. Numerical solutions of nonlinear differential equations are obtained by RKF-45 method with the help of shooting technique. The behavior of emerging parameters is described graphically for velocity and temperature profiles. It is found that the blade-shaped Au and Fe3O4 nanoparticles have better thermal conductance than brick, sphere, cylinder, needle, and platelet shapes. It is also observed that the Lorentz force generated due to magnetic field helps in controlling the flow and enhance the thermal conductivity of hybrid nanofluid. 2021 Wiley Periodicals LLC. -
THE ANALYSIS OF THE FLOW OF BLOOD IN A STENOSED ARTERY THROUGH SIMULATION: A COMPARISON AMONG VARIOUS NON-NEWTONIAN MODELS
This paper focuses on the dual quality of blood, Newtonian and non-Newtonian, in particular by exploring the energy curves. Careful investigation of the dual property of blood has been made by considering two different geometries to represent a stenosed arterial segment. We present a cautious assessment of non-Newtonian blood rheology impacts in arterial stream simulations by coupling the Newtonian and non-Newtonian models. The flow of energy through the two flow dimensions is meticulously investigated using velocity (kinetic energy), pressure, and wall shear stress (pressure energy). Besides, the proper implementation of an interface boundary condition (IBC) was emphasized to ensure consistency with the flow conditions downstream of a backward-facing step. The integration of the Newtonian and non-Newtonian models adjoins the novelty of the current research. The energy curves are obtained by implementing five different non-Newtonian models to designate a suitable non-Newtonian model for blood flow investigations. The combination of the non-Newtonian models enforced in this research is novel and particular attention is paid to the energy curves obtained. The conclusion was to elect the Carreau model as a suitable non-Newtonian rheological model for the blood flow study. This study was able to finalize the fact that the coupling of Newtonian and non-Newtonian models is necessary to obtain accurate results. For the sinusoidal waveform considered for the velocity, Carreau and the Power law models yield better results, eliminating the other non-Newtonian models from the list. With a better inlet condition imposed in the form of the Fourier series for pressure and velocity, the Carreau model yields the best results. 2024 World Scientific Publishing Company. -
The analytical study of public sentiments about nCovid-19 using twitter comments
People's sentiments are the mirror of their cognition, and these sentiments play a very significant role in predicting and shaping one's behaviour. At present the entire world is fighting with this pandemic situation due to the nCOVID-19 outbreak and people are experiencing a variety of sentiments. This research aims to explore various sentiments that people are experiencing during this epidemic. To achieve this objective sentiment analysis was conducted on 30,000 random Twitter comments using R software. Data mining of data was done using three hashtags: #Coronavirus, #Covid19 and #Covid19India. After the analysis, it was found that the nature of people's sentiments about nCOVID-19 is majorly positive. This study also elicits other noticeable patterns of netizen's expression through their comments while combating nCOVID-19. The present research provides insight into the type of sentiments which people are undergoing across the world during this pandemic situation and based on the obtained data, risk prediction can be done, and various awareness programmes can be designed to overcome the present issue which is prevailing worldwide. 2026 Author(s). -
The application of artificial intelligence in education: Opportunities and challenges
The chapter investigates the challenges of implementing AI in education, including ethical and privacy concerns, the impact on teacher and student roles, bias and fairness in AI-based systems, and technical challenges. Furthermore, it discusses AI's potential policy and practice implications in education and outlines future research directions. The chapter concludes by emphasizing the transformative nature of AI in education and its capacity to enhance teaching and learning experiences, improve educational outcomes, and foster equitable access to quality education. 2024, IGI Global. All rights reserved. -
The Application of Expressive Art Therapies for Survivors of Child Sexual Abuse
Objective: The purpose of this study is to explore and summarize existing literature on the application of expressive art therapies like dance movement therapy (DMT), art therapy and music therapy among survivors of child sexual abuse (CSA). Method: A narrative review was conducted following a structured search strategy. The search strategy involved identifying relevant studies from electronic databases, such as PubMed, APA PsycInfo, and Google Scholar, focusing on peer-reviewed articles and dissertations published between 2003 and 2024. The literature, studies, and empirical data pertaining to the application of expressive art therapies in meeting the requirements of CSA survivors are reviewed as part of the research process. Results: Research suggests that for survivors of CSA, DMT, music therapy, and art therapy offer a safe space for recovery that encourages hope, self-determination, and healthy relationships. These treatments encourage cognitive processing, emotional expression, and physical connectedness. However, there are shortcomings in the research including the lack of rigorous research methods and inclusion of long-term studies. Conclusions: Adult survivors of CSA have a lot of promise for therapeutic interventions from expressive art therapies, which include DMT, art therapy, and music therapy. They provide survivors with invaluable support as they work toward empowerment and healing. 2025 American Psychological Association -
The Association between Accounting determined and market determined measures of risk: Evidences from Indian Pharmaceutical Industry.
Volume : 3, Issue : 12, pp- 35-44, ISSN: 2249-7307