Essays
The Intricate World Of Language And Focused On Women’s Representation In The Pakistani TV Series Baaghi
Abstract Using the case study of a Pakistani television drama series, Baaghi [rebel], based on the life story of Qandeel Baloch —the scandalous and contentious social media figure who defied traditional codes of gender conduct until she was murdered in an honor killing— this paper explores violence against women as it is inscribed via clearly visibilized objectification processes. This research, through Visual Critical Discourse Analysis (VCDA), investigated how visual and
Automated Phenomena Detection And Segmentation From Lungs X-Ray Images
Introduction Lung illness is widespread across the entire world (Bharati et al., 2020). Lung illness is currently the most common type of cancer-related death among both genders globally. It is believed that smoking cigarettes is the primary source of lung disease. It can develop in any part of the lung, but lung illness is a particularly prevalent kind. 90%-95% are assumed to be derived from epithelial cells, which line the
Reverse Logistics And Its Contribution To The Sustainability Of The Fashion Retail Sector
Abstract The focus of this thesis is the issue of reverse logistics and its contribution to the sustainability of the fashion retail sector whilst promising attention to practices in the North West of England. The research looks into how some of the top fashion retailers like Amazon, ASOS manage the returns and recycling of goods, among other strategies, with the intention of how to reduce waste and environmental damage. The
Finance Risk Assessment Using Transformer
Abstract Finance Risk Assessment is the process of identifying, analyzing, and mitigating risks involved in finance activities and decisions. It involves evaluating the potential for financial losses, uncertainties, and unfavorable outcomes in an investment or business operations. We evaluate finance risk assessment using a large dataset with sixteen Finance indicator features. The evaluation makes use of a number of machine learning (ML) classifiers, deep learning models, and a proposed transformer
Incorporation Of Artificial Intelligence (AI) In Revolutionizing Patient-Clinician Interactions And Decision-Making
Abstract The incorporation of artificial intelligence (AI) is revolutionising patient-clinician interactions and decision-making processes in the dynamic field of clinical trials. AI-driven chatbots, using progress in natural language processing (NLP) and machine learning, are becoming essential mechanisms for improving these interactions. The present study investigates the use of artificial intelligence chatbots in clinical trials, with a specific emphasis on their capacity to enhance patient involvement, optimise data gathering, and facilitate
Early Detection Of Alzheimer’s Disease Using MRI Scans
Abstract Alzheimer’s disease is a progressive neurodegenerative disorder that affects millions of people worldwide, leading to cognitive decline and memory loss. Early detection is crucial for effective management and treatment. This study focuses on the early detection of Alzheimer’s disease from MRI scans using deep learning techniques. The research utilizes the Alzheimer’s Dataset, which consists of four classes: Mild Demented, Moderate Demented, Non Demented, and Very Mild Demented. Three deep
How Freedom Holding Corp Is Driving Innovation In Investment And Banking
Freedom Holding Corp has established itself as a game-changer in the financial industry, reshaping investment and banking in Kazakhstan and beyond. By offering cutting-edge solutions, expanding into global markets, and leveraging digital innovation, the company continues to drive financial growth while maintaining a strong commitment to investor success. A Modern Approach to Finance Freedom Holding Corp is recognized for its forward-thinking financial strategies. Unlike traditional investment firms, the company integrates
Strategies For Managing Localization And Internationalization In Large-Scale iOS Applications
Abstract: In an increasingly globalized world, large-scale iOS applications must cater to diverse user bases across different regions, languages, and cultures. The process of adapting these applications to meet the linguistic, cultural, and regional preferences of users is known as localization, while internationalization refers to the design and development practices that make localization possible. Effective management of localization and internationalization is essential for the success of large-scale iOS applications in
The Role Of Automated Testing Frameworks In Reducing Mobile Application Bugs
Abstract: In the continuously changing field of mobile application development, it is of the utmost importance to guarantee users that they will have satisfactory experiences. The use of automated testing frameworks is an essential component of this endeavour, as they provide a substantial contribution to the reduction of problems and the enhancement of the general dependability of the application. In the context of mobile apps, this study investigates the essential
Data Streaming Pipelines In Life Sciences To Improve Data Integrity And Compliance In Clinical Trials
Abstract Data streaming pipelines have become a revolutionary tool in the field of life sciences, providing novel functionalities for managing and examining the large volumes of data produced in clinical trials. By using real-time data processing, these pipelines improve data integrity and guarantee adherence to regulatory requirements, therefore effectively tackling some of the most crucial obstacles encountered in clinical research. Preserving the integrity and precision of data is of the
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