This research paper aims to explore the intersection of machine learning and cybersecurity, with a special emphasis on various methods and how each of these methods can be used to improve cybersecurity. The paper reviews various ML algorithms including Graph Neural Networks, Adversarial Learning, Federated Learning, Explainable AI and Reinforcement Learning.

This review aims to compare the modern and traditional treatment for LCINS, examining efficiency, side effects, and comparative benefits/risks. It was concluded that a combination of radiotherapy and chemotherapy would prove most effective while still considering a development of modernised treatments for future treatment.

This research paper aims to discuss and explore lung cancer during pregnancy for non-smokers. Cases of gestational lung cancer have increased over the last decade, so it is important to understand risk factors, treatment options, and the increased severity of lung cancer during pregnancy compared to non-gestational lung cancer to improve decision-making skills and outcomes, allowing for more tailored medical care.

This research paper explores how neuroscience and early life experiences can catalyse the development of anxiety disorders in an individual. It emphasises that hyperactivity in key brain regions, early-life stress and trauma, significantly affect brain development, predisposing individuals to higher risks of anxiety later in life.

The threat that climate change poses is becoming more and more evident, and thus scientists and experts are looking for ways we can effectively deal with this issue. This study is therefore focused upon technological advancements and how they could mitigate climate change.