Monolitik zirkonyum restorasyonlar, mükemmel mekanik özellikleri, biyouyumluluk ve estetiği ile bilinir. Ancak, düşük sıcaklık bozulmasına (LTD) eğilimlidirler. LTD, su veya su buharı varlığında 100 santigrat derecenin altındaki sıcaklıklarda zirkonyumun bozulmasına karşılık gelir. Metastabil tetragonal fazdan daha kararlı monoklinik faza bir faz dönüşümünü içerir. Bu faz dönüşümü, zirkonyumda mikro çatlaklara ve boyutsal değişikliklere neden olabilir, bu da mekanik mukavemetini ve uzun vadeli stabilitesini tehlikeye atabilir. Tükürük, elektrolitler, enzimler, proteinler ve bakteriler içeren k ...Daha fazlası
This text discusses a project for a concept design that aims to help doctors better diagnose and treat Gastroesophageal Reflux Disease (GERD) using the latest methods in artificial intelligence (AI), specifically LangChain and ChatGPT-4 from OpenAI. The project includes creating a system for GERD, using AI to work with medical data, testing the system with some patient cases, and seeing how well it helps in treating GERD. The project seeks to explore the feasibility of implementing a system that enhances the diagnosis and treatment through the application. 50 cases were generated for evaluatio ...Daha fazlası
In order to understand brain function, diagnose disorders and develop precise treatments, the detection of dopamine using electrochemical devices is important. The detection of dopamine using electrochemical devices continues to be investigated, as evidenced by studies in the literature in recent years. This is because it helps to unravel the complexity of brain function, facilitate the diagnosis of neurological disorders and enable the development of precise treatments. These devices are important in neuroscience and medicine.
This thesis explores the integration of predictive analysis within software product management to enhance decision-making and strategic planning. Through empirical investigation using a simulated dataset mimicking real-world scenarios, the study examines the impact of various factors on software product revenue and success. It emphasizes the gap between theoretical knowledge and practical application in predictive analysis, offering a detailed examination of predictive modeling techniques, data collection methodologies, and their practical implications. The research demonstrates how predictive ...Daha fazlası
6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.