Articles by Andrea Rekasi

Configuring a Proxy Server in the SmartTube App for SmartTV

May 17, 2025 | Andrea Rekasi

SmartTube — A Platform for Video Streaming and Management SmartTube is an application or platform designed for streaming, organizing, and interacting with video content. It can be used on various devices, including Smart TVs, computers, and mobile phones, offering users a convenient way to discover and watch videos. What Is SmartTube ... [...Read more...]

Mathematical Modeling of Clonogenic Survival Curves: Understanding Radiation Response Through Linear Analysis

March 13, 2025 | Andrea Rekasi

Radiation therapy continues functioning as a vital cancer treatment method through its utilization of ionizing radiation to hurt tumor cells. Discovery of radiation-based treatment success depends on evaluating clonogenic survival ability that describes a cell’s reproductive potential after exposure to radiation. The relationship between radiation dose and surviving cells ...
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Automated Regression Testing in 2025: Best Practises from Top QA Teams

March 6, 2025 | Andrea Rekasi

Software defects become substantially more expensive to fix in production. Automated regression testing plays a vital role in modern software development. Changes happen continuously in today’s ever-changing development environment. Teams must ensure existing functionalities stay intact. Development teams can run tests simultaneously across multiple browsers and devices with tools ...
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How Linear Regression Improves Clonogenic Survival Curve Accuracy

January 22, 2025 | Andrea Rekasi

Linear regression plays a vital role in analysing clonogenic survival curves, with accuracy rates of 95.46% to 99.32% in cell survival data modelling. Scientists can now review how cells maintain their reproductive integrity after radiation exposure through these precise measurements. Researchers rely on clonogenic survival assay as a key tool that shows ...
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Understanding Why Sklearn PCA Differs from Scratch Implementations

December 2, 2024 | Andrea Rekasi

Data scientists often face a puzzling challenge. Their carefully crafted Principal Component Analysis (PCA) implementation gives different results compared to scikit-learn’s version. These differences create confusion and make debugging harder, even when both implementations appear mathematically sound. PCA is a significant dimensionality reduction technique in machine learning that helps ...
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