Volume 14 | Issue 4 |

 Abstract

Around the world, brain tumors are becoming the leading cause of mortality. The inability to undertake a timely tumor diagnosis is the primary cause of this pandemic. Brain cancer diagnosis is a crucial procedure that relies on the expertise and experience of the doctor. Radiologists must use an automated tumor classification model to find brain cancers. The current model's accuracy has to be improved to get suitable therapies. Radiologists can consult various computer-aided diagnostic (CAD) models in the literature on medical imaging to assist them with their patients. Previous research has widely used CNN models for tumor detection and classification, which typically require large datasets. This research proposed the Caps-VGGNet hybrid model, which integrates the CapsNet model with the VGGNet model by adding the layers of VGGNet. The presented model addresses the challenge of requiring large datasets by automatically extracting and classifying features. The suggested algorithm's effectiveness was assessed using the Brats-2020 and Brats- 2019 dataset, which contains high-quality images of brain tumors. Compared to other conventional and hybrid models, the empirical outcomes of the suggested model indicate that it exhibited the highest level of effectiveness and superior efficacy in terms of accuracy, specificity, and sensitivity. Specifically, the presented hybrid model attained an accuracy of 0.99, a specificity of 0.99, and a sensitivity of 0.98 on the Brats20 dataset.

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 Keywords

Key words : Brain tumor detection, MRI detection, Image detection, image preprocessing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The integration of Artificial Intelligence (AI) with Heritage Building Information Modelling (HBIM) represents a paradigm shift in the digital conservation of historic structures. This paper explores at theoretical methodology for using AI to create and enhance digital twins (3D digital models) of the Nampally Serai, which is a building made during the 1919 of late Asaf Jahi dynasty. Using a multi-phase approach combining drone-based photogrammetry, point cloud processing, deep learning-based damage detection, and parametric HBIM modelling, the study develops an AI-enriched digital twin of the structure. The resulting AI-HBIM environment enables scenario based structural analysis, predictive deterioration modelling, and evidence to driven conservation planning. The paper concludes that AI-integrated HBIM substantially enhances the accuracy, efficiency, and interpretive depth of heritage conservation workflows, offering a scalable and replicable model for the management of Hyderabad's endangered historic precincts.

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 Keywords

Artificial Intelligence, Heritage BIM, Nampally Serai, Digital Twin, Conservation, Nizam-era Architecture

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 Abstract

This research analyzes 52 case studies (26 successful and 26 unsuccessful) across domains such as UPSC, Business, Court Cases, Medical Recovery, and Social Media. The study demonstrates that alignment between Personality (P), Destiny (D), and Name Number plays a decisive role in determining outcomes. Strong alignment consistently results in success even under negative timing, while misalignment leads to failure despite positive timing.

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 Keywords

Numerology, Alignment, Personality Number, Destiny Number, Case Study Analysis

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Creative Commons Attribution 4.0 and The Open Definition

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The IT industry is one of India's fastest-growing sectors, yet maintaining high employee engagement remains a persistent challenge for organisations. This study examines employee engagement and its impact on organisational productivity at Pantech Solutions, Semmancheri, Chennai. The primary objective is to assess the level of employee engagement, identify key influencing factors, and evaluate the relationship between engagement and productivity. Primary data were collected from 103 respondents using a structured questionnaire based on a Likert-scale instrument. Statistical tools including Percentage Analysis, Mean Score Analysis, Pearson Correlation, and Chi-Square tests were employed. Key findings reveal that 90.3% of respondents agree that high employee engagement contributes to overall organisational performance, and 75.7% confirm that engagement positively influences individual productivity. Critical gaps were identified in employee recognition (51.5% feel unappreciated), participative management (59.2% feel their opinions are not valued), and workload management (46.6% report unreasonable workloads). The study concludes that while engagement levels are moderate to high overall, targeted interventions in recognition, communication, and workload distribution are essential for sustaining and enhancing organisational productivity.

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 Keywords

Employee Engagement, Organisational Productivity, Job Satisfaction, Work Environment, Training and Development, Pantech Solutions, IT Industry.

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 Abstract

The quick development of immersive technologies has changed employee training methods because these technologies create interactive spaces that enable employees to learn through direct experience. The research conducted so far has not established which factors drive employee participation in these particular environments. The research study investigates how two factors technological readiness and immersive engagement contribute to employee training participation while the study investigates how self-determination functions as a bridge between these two elements. The study develops a conceptual framework that combines technological elements with psychological aspects and experiential components based on Self-Determination Theory and Technology Readiness and Immersion theories. Researchers used a quantitative research design to study 240 employees who had done technology-based training after they completed a structured questionnaire. The researchers used Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the gathered data. The research found that technological readiness as well as immersive engagement both positively influenced employee training participation. The process of self-determination functions as a mediator between technological readiness and engagement since it connects both technological readiness and engagement together with immersive engagement and engagement together. The research study examines engagement outcomes in immersive training environments through the technology adoption lens because it changes the existing literature about technology adoption. The study shows how training effectiveness improves when organizations combine their technological capacity with the psychological factors that drive their workforce. Organizations that want to create effective immersive training programs should pay attention to technological readiness and employee motivation according to the research findings.

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 Keywords

Technological Readiness, Immersive Experience, Self Determination, Employee Engagement in Training, Metaverse, PLS SEM

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 Abstract

Nephrotoxicity and kidney injury remain major clinical challenges worldwide, contributing significantly to morbidity and mortality. Experimental animal models are indispensable tools for understanding renal pathophysiology and evaluating the safety of drugs. This review summarizes various animal models used to study nephrotoxicity, including drug-induced, chemical-induced, ischemia-reperfusion, surgical, and disease-based models. Mechanisms of injury, biomarkers, evaluation methods, limitations, and recent advancements are also discussed. Despite limitations in translation, animal models continue to play a critical role in nephrology research and drug development.

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Nephrotoxicity,Animal model, Kidney injury,Renal Toxicity,Experimental model

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 Abstract

Childhood trauma represents a significant developmental challenge that can have long-lasting effects on an individual's emotional, psychological, and social functioning. Experiences such as abuse, neglect, or exposure to adverse family environments during early life can interfere with the formation of secure attachments and healthy emotional regulation. These early disruptions often extend into adulthood, influencing how individuals perceive, approach, and maintain interpersonal relationships. The present study seeks to examine the impact of childhood trauma on adult interpersonal relationships through an in-depth qualitative exploration. A phenomenological research design was employed to understand the lived experiences of individuals who reported exposure to childhood trauma. Participants within the age range of 18 to 45 years were selected using purposive sampling. Data were collected through semi-structured interviews, allowing participants to openly share their personal experiences, emotional patterns, and relational challenges. The collected data were analysed using thematic analysis to identify recurring patterns and meaningful insights related to interpersonal functioning. The analysis revealed several consistent themes across participant narratives. Many individuals reported persistent difficulties in trusting others, often accompanied by a fear of betrayal or abandonment. Emotional dysregulation emerged as another prominent theme, with participants describing challenges in managing intense emotions such as anger, anxiety, and sadness within relationships. Communication barriers, including difficulty expressing emotions and avoidance of conflict, were also commonly observed. Additionally, several participants indicated a diminished sense of self-worth, which further affected their ability to engage in secure and fulfilling relationships. Despite these challenges, the study also highlighted the presence of resilience and adaptive coping mechanisms among participants. Strategies such as self-awareness, emotional distancing, seeking social support, and engaging in personal growth practices were reported as ways to manage relational difficulties. These findings suggest that while childhood trauma can significantly influence interpersonal dynamics, individuals possess the capacity to adapt and work towards healthier relational patterns over time. Overall, the study emphasizes the profound and multifaceted impact of childhood trauma on adult relationships. It underscores the importance of trauma-informed approaches in psychological practice, particularly those that address both emotional healing and relational functioning. By providing a deeper understanding of individual's lived experiences, this research contributes to the existing body of knowledge and highlights the need for continued exploration in this area. Future research may expand on these findings by incorporating diverse populations and longitudinal perspectives to better understand the long-term progression of trauma-related relational patterns.

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 Keywords

Psychological impact

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 Abstract

Oxalic acid (C?H?O?) is an important dicarboxylic acid widely used in textiles, metallurgy, pharmaceuticals, and wastewater treatment. This paper presents a comprehensive review and experimental approach for the production of oxalic acid from sugarcane juice and molasses. The study focuses on oxidation methods using nitric acid, nitrogen oxides, and permanganate. Experimental data including yield, kinetics, and process parameters are discussed. The maximum yield reported from molasses-based oxidation reaches up to ~78-79% of theoretical yield under optimized conditions.

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 Keywords

Oxalic acid, Dicarboxylic acid, Sugarcane juice, Molasses, Oxidation methods, Nitric acid, Nitrogen oxides, Permanganate, Yield, Kinetics, Process parameters, Experimental data, Theoretical yield, Optimized conditions, Wastewater treatment, Textiles, Metallurgy, Pharmaceuticals.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ayurveda is a holistic science that emphasizes the importance of Dinacharya (daily regimen), Rtucharya (seasonal regimen), and Ahara Vihara (diet and lifestyle) in maintaining good health and preventing diseases. In today's sedentary lifestyle, irregular dietary habits and adverse work environments have contributed to the rise of various chronic and lifestyle-related disorders. As a result of this continuous exposure to incompatible foods, toxins, and improper routines, various systemic changes are occurring in our body, and their action can be explained on the basis of concept of "Dushivisha". The key factors which influence the effects of Dushi Visha are Dooshita Desha (vitiated environment),

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 Keywords

Ayurveda, lifestyle disorder, dushivisha,agadtantra

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Creative Commons Attribution 4.0 and The Open Definition

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Historic buildings often undergo adaptive reuse, requiring the integration of modern building services such as electrical wiring and plumbing networks. However, conservation research has primarily focused on architectural fabric while neglecting the technical infrastructure embedded within heritage structures. This study examines strategies for the conservation and adaptive reuse of historic electrical and plumbing systems in heritage buildings through a systematic literature review using the PRISMA screening method. Twenty research papers were identified, including ten Western and ten Indian studies. After applying inclusion criteria related to heritage conservation, adaptive reuse, and building services integration, the literature was analysed thematically. The review reveals that Western research largely focuses on energy retrofitting and environmental performance, while Indian studies emphasise broader heritage conservation frameworks. Despite these contributions, limited research specifically addresses the conservation of historic electrical and plumbing infrastructure. The study identifies this gap and proposes future research directions focused on documentation, reversible interventions, and conservation-compatible service integration in heritage palace architecture such as Kollapur Palace.

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 Keywords

Adaptive reuse; Electrical systems; Historic infrastructure; Plumbing systems; Retrofitting

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Creative Commons Attribution 4.0 and The Open Definition