Volume 13 | Issue 1 |

 Abstract

Pindborg tumor, also known as Calcifying Epithelial Odontogenic Tumor (CEOT), is a rare odontogenic neoplasm first identified by J.J. Pindborg. This tumor is exclusively epithelial in origin and accounts for less than 1% of all oral tumors. CEOT typically presents as a painless swelling, often associated with unerupted teeth, with both intraosseous and extraosseous variants. Radiographically, it may exhibit a distinctive "honeycomb" or "driven snow" appearance due to calcifications. Histologically, the presence of amyloid-like material and Liesegang rings serves as a key diagnostic feature. Although generally benign, the tumor may exhibit aggressive behavior in rare cases, especially in its clear cell variant. This review aims to provide a comprehensive overview of the tumor's epidemiology, clinical features, radiographic characteristics, histologic patterns, and management strategies to aid in accurate diagnosis and treatment planning.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pindborg tumor, amyloid, odontogenic epithelium.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bharatnatyam, Kathak, classical dancer, Aerobic Capacity, Vo2 max

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Autism, also referred to as Autism Spectrum Disorder (ASD), is a developmental condition that affects how individuals perceive and interact with the world. It is characterized by challenges in social interaction, communication, and a tendency for repetitive behaviors or narrowly focused interests. However, it is a spectrum, meaning that the traits and abilities of individuals with autism can vary widely. Autism Spectrum Disorder (ASD) and speech delay often go hand in hand, though not all individuals with autism experience significant delays in language development. Speech delays can vary widely depending on the individual and their specific profile on the autism spectrum. Speech delay is a common challenge among children with Autism Spectrum Disorder (ASD). This delay can manifest as limited vocabulary, difficulty forming sentences, or an inability to use spoken language to communicate. Addressing speech delay is crucial, as it significantly impacts a child's ability to express needs, build relationships, and engage in educational activities. There are several effective AI tools and technologies that have been developed to assist individuals with Autism Spectrum Disorder (ASD) and speech delays. These tools use machine learning, speech recognition, and other AI techniques to support communication, learning, and social interaction

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autism Spectrum Disorder (ASD) and speech delay

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ameloblastoma is a group of odontogenic tumors of the jaws that arise from ectomesenchyme or epithelial remnants associated with tooth development. The majority of them speculate that the tumor's growth and development may be connected to the intricate process known as the epithelium-mesenchymal transition (EMT), which allows cells to dynamically change from having a mesodermal shape to a morphological one. The etiopathogenesis of these tumors is still incompletely understood. The most common site of the lesion is the mandibular premolar area, which accounts for 32.6% of cases. The lesion's histological subtype and the existence of mural invasion are two important variables to take into account when evaluating the histopathological features of atypical lesions. This article gives a complete review of ameloblastoma, pathophysiology, clinical features and its management.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ameloblastoma, aggressive, odontogenic tumor

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ramoji Film City (RFC) has emerged as a pivotal institution in shaping both Hyderabad's film and tourism industries. Established in 1996, RFC has grown into one of the largest integrated film studio complexes in the world, offering cutting-edge facilities for film production while simultaneously becoming a major tourist destination. This comprehensive study explores the dual impact of RFC on Hyderabad's economy, culture, and global positioning. By providing state-of-the-art infrastructure and attracting international filmmakers, RFC has contributed significantly to the growth of the local and national film industries, particularly in the Telugu film industry (Tollywood), while also facilitating Bollywood and international productions. Furthermore, RFC's integration of film production with tourism has played a crucial role in enhancing Hyderabad's status as a prominent global tourism hub. This study combines the secondary data, to assess RFC's influence on film tourism, local economic development, and community engagement. The findings highlight RFC's role in job creation, cultural preservation, and fostering a global identity for Hyderabad, while also identifying areas for improvement in sustainability practices and competition from emerging film cities. This research provides valuable insights into the symbiotic relationship between film production and tourism, offering a model for similar institutions globally.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ramoji Film City, Film, Tourism, Economic Impact, Social & Cultural Impact

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Customer churn prediction is crucial for e-commerce companies looking to improve retention and optimize business strategies. In this study, we aim to build a robust predictive model to identify customers at risk of churn, using a variety of customer features such as demographics, behavior metrics, order history, and satisfaction scores. The analysis begins with an exploratory data analysis (EDA), using Python libraries like pandas, numpy, matplotlib, and seaborn for data manipulation, visualization, and understanding patterns in the dataset. Missing values are visualized and addressed using missing no, ensuring data quality before model development. Several machine learning models are trained to predict customer churn, including Support Vector Classifier (SVC), Logistic Regression, Random Forest Classifier, and XGBoost, implemented with libraries such as scikit-learn and xgboost. Data preprocessing steps, such as scaling features with Standard Scaler and encoding categorical variables using LabelEncoder, are performed to prepare the dataset for model training. Model evaluation is conducted using performance metrics like accuracy, precision, recall, F1-score, ROC-AUC, and confusion matrix, offering detailed insights into the effectiveness of each model. In addition, hyperparameter tuning is achieved using GridSearchCV to optimize model performance. Cross-validation is applied with cross validate to ensure generalizability and robustness of the models. The study identifies key factors influencing churn, including marital status, order categories, and platform engagement, and provides actionable insights for the company to implement targeted retention strategies. By leveraging machine learning and data analytics, this research helps the e-commerce company proactively manage churn, enhance customer satisfaction, and optimize product offerings tailored to customer preferences.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customer Churn Prediction, Customer Segmentation, Exploratory Data Analysis (EDA), Predictive Modeling, Voting Classifier, Machine Learning, Feature Scaling.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The increasing interest and adoption of cryptocurrency in India signal a transformative shift in the nation's financial ecosystem. Cryptocurrencies offer innovative solutions to challenges such as financial exclusion, currency inefficiencies, and limited access to global markets. This research paper explores the fundamental principles of cryptocurrency, its mechanisms, and its economic implications within the Indian context. Using case studies and data from India's burgeoning crypto market, the study investigates how cryptocurrencies can drive financial inclusion, support economic growth, and integrate the Indian economy into global financial systems. While acknowledging the potential advantages, the paper also examines challenges including regulatory uncertainties, technological barriers, and socio-economic risks, and proposes strategies for fostering sustainable growth of cryptocurrency in India.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cryptocurrency, Blockchain, Financial Inclusion, Economic Growth, India, Digital Economy, Regulation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Direct Orange, Cotton Stalks,Adsorption Isotherms, Sorption mechanism.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The widespread adoption of digital payment applications has transformed financial transactions, with Google Pay becoming one of the leading platforms in this domain. This study explores customer satisfaction with the usage of the Google Pay application, focusing on factors such as ease of use, transaction efficiency, security, rewards, and customer service. Using a survey-based approach, data was collected from a diverse group of users to understand their experiences and perceptions. The analysis highlights the key factors influencing customer satisfaction, including the intuitive interface, reliability of transactions, and the security measures offered by the platform. Positive experiences, such as seamless payment processes and attractive cashback offers, are significant contributors to user satisfaction, while challenges such as technical glitches and occasional delays in customer support were noted.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Google Pay, Customer satisfaction, Security, Transactions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the adoption of agile methods for the management of projects in collaborative research initiatives. The scrum framework, a specific set of agile principles and practices for self-organizing cross-functional teams in software development projects, is currently being expanded to other types of organizations and knowledge management processes. Qualitative research methodology was utilized in this study. The data for the current analysis was collected based on interview discussions, analysis of past sprint retrospectives, and sprint velocity data. The participants used for interviews and discussions were from various backgrounds and departments of the case company and included experts such as Scrum Master, Product Owner, Product Manager, Quality Assurance Team, Team Manager, Operation Manager and Software Developers. The study addresses the extent to which key principles and tools usually used in the scrum can contribute to the collaborative management and coordination of tasks in research processes due to their potentially positive influence on team dynamics and efficiency. The research started with the current state analysis of the agile scrum process within the case company's applications development team. Based on current state analysis and literature review, the researcher defined a new process model. The results and conclusions from the piloted iterations were further documented in this study.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agile Methodology, Scrum, Project Knowledge Areas, Project Management, Scrumban, Kanban and Scrum master

  License

Creative Commons Attribution 4.0 and The Open Definition