Publisher: Abdelfattah Ragab
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This timely book offers a balanced and thoughtful review of the current mental health emergency and its impact upon and among medical professionals, supported by the best available evidence and illustrated through real-life cases. Recognizing the increasing stressors in the role including the impact of the environment in which doctors work, the book examines some of the key emotional drivers for this unhappiness among doctors at work—shame, stigma, suffering, and sacrifice—and offers practical steps to emotional and physical recovery. Despite the obvious challenges and stresses of the role, with the right support in place the vast majority of doctors can thrive in their jobs. Policy makers, politicians, educators, and hospital managers will be reminded of the ethical duty to ensure that doctors are cared for and have access to the time, people, and spaces to remain psychological healthy, while doctors will learn to recognize and seek actively the help that they need, and to support and guide one another.Show book
Arthur Scott Bailey (1877 – 1949) was the author of more than forty children's books. "Mr. Bailey centered all his plots in the animal, bird and insect worlds, weaving natural history into the stories in a way that won educator's approval without arousing the suspicions of his young readers. He made it a habit to never 'write down' to children and frequently used words beyond the average juvenile vocabulary, believing that youngsters respond to the stimulus of the unfamiliar." (Wikipedia)Show book
Epilepsy and self confidence hypnosis with DST Hypno and Stu Newman is an incredible way to improve your life. Whether you suffer from epilepsy or simply lack the confidence to take on new challenges, this hypnosis program can help. Through guided relaxation techniques, positive affirmations, and visualization exercises, you will be able to reduce stress levels while increasing your self-confidence. With regular practice of these methods over time, you will find yourself feeling more confident in all areas of life including work or school performance as well as social interactions. The best part is that it's totally free! Give it a try today - who knows what kind of amazing changes could come about?Show book
During the Space Race, many people envisioned a future in which space travel would be a common undertaking for ordinary citizens. Just as riding in an airplane was once a daring endeavor, travel by rocket could be refined and made safer over time. That collective aspiration to someday take part in dreams NASA brought to life was integral to inspiring public interest in the space program. However, in the years following Apollo 11 in 1969, popular enthusiasm for space travel waned, and dreams of vacationing like the Jetsons gave way to more grounded goals. The level of interest NASA enjoyed would never again be comparable to the culturally defining moments of the agency’s most celebrated missions during the Mercury, Gemini and Apollo Programs. Nonetheless, in 1972 and 1973, NASA sent nine astronauts to spend extended periods of time living in a craft named Skylab, the very first experimental American space station. Though Skylab would not last long, and the International Space Station remains far more famous, Skylab’s history is one of ingenuity and challenge, as well as how NASA found itself without a mission after the triumph of the Apollo Program.Show book
Keep Calm and Let Us Tame the Python. Book Description Python is more than a programming language—it’s a career catalyst. Whether you're aiming to future-proof your skills, automate everyday tasks, or break into tech, Python is the gateway. Kickstart Python Programming Fundamentals is your launchpad, built specifically for absolute beginners, freshers, students, and professionals with no coding background. With crystal-clear explanations, real-world examples, and zero jargon, this book makes programming accessible, engaging, and fun. You’ll start by writing your first Python program and gradually master essential concepts like variables, loops, functions, and data structures. From there, you'll progress to object-oriented programming, file handling, working with databases, and even get a taste of AI and data analysis. Each chapter includes hands-on exercises and mini-projects to solidify your learning. By the end, you'll not only understand Python—you’ll be building real-world solutions, building a project portfolio, and ready to take on academic, personal, or professional challenges. The future is coded—start your journey today and don’t get left behind. Table of Contents 1. Beginning with Python 2. Introduction to Algorithms and Flowcharts 3. Basic Python 4. Making Choices and Repeating Actions 5. Creating Functions 6. Organizing Data 7. Understanding OOP in Python 8. Using Modules and Packages 9. Error Handling 10. File Handling and String Manipulation 11. Dates and Times 12. Working with JSON and XML 13. Math in Python 14. Managing Packages with PIP 15. Building Web Apps 16. Python and Databases 17. Analyzing Data 18. Python in Artificial Intelligence 19. Conclusion and Next Steps 20. Real-World Project IndexShow book
“Empower Your . NET Journey with Machine Learning” Book Description Dive into the world of machine learning for data-driven insights and seamless integration in . NET applications with the Ultimate Machine Learning with ML. NET. The book begins with foundations of ML. NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tasks using ML. NET, exploring classification, regression, and clustering with its versatile functionalities. It will delve deep into the process of selecting and fine-tuning algorithms to achieve optimal performance and accuracy. You will gain valuable insights into inspecting and interpreting ML. NET models, ensuring they meet your expectations and deliver reliable results. It will teach you efficient methods for saving, loading, and sharing your models across projects, facilitating seamless collaboration and reuse. The final section of the book covers advanced techniques for optimizing model accuracy and refining performance. You will be able to deploy your ML. NET models using Azure Functions and Web API, empowering you to integrate machine learning solutions seamlessly into real-world applications. Table of Contents 1. Introduction to ML. NET 2. Installing and Configuring ML. NET 3. ML. NET Model Builder and CLI 4. Collecting and Preparing Data for ML. NET 5. Machine Learning Tasks in ML. NET 6. Choosing and Tuning Machine Learning Algorithms in ML. NET 7. Inspecting and Interpreting ML. NET Models 8. Saving and Loading Models in ML. Net 9. Optimizing ML. NET Models for Accuracy 10. Deploying ML. NET Models with Azure Functions and Web API IndexShow book
