answer:Certainly! Here is a warranted reference that supports the idea of a balanced and judicious application of translation in language teaching: Reference: Cook, V. (2010). Translation exercises in language teaching. In B. Paltridge & A. Phakiti (Eds.), Continuum companion to research methods in applied linguistics (pp. 33-48). Bloomsbury Academic. In this reference, Cook discusses the role of translation exercises in language teaching. He emphasizes the importance of using translation in a controlled and selective manner to avoid excessive reliance on the native language and ensure that learners develop their proficiency in the target language. Cook argues that when utilized appropriately, translation exercises can be valuable tools for learners to grasp the nuances of vocabulary, grammar, and cultural aspects of the target language while bridging the gap between languages. This aligns with the idea of a balanced and judicious application of translation in language teaching, as it highlights the need to carefully integrate translation activities in a way that maximizes the benefits while minimizing the potential drawbacks.

answer:La idea principal del texto es que el lenguaje utilizado en relación a los determinantes sociales de la salud en la atención sanitaria estadounidense puede ser confuso y tener diferentes significados y objetivos. Es importante establecer una comprensión compartida del lenguaje para lograr los objetivos de colaboración entre los sectores de atención sanitaria, salud pública y servicios sociales, así como para formular políticas y sistemas de pago que fomenten una mayor inversión en atención de salud y apoyos sociales. El artículo propone definiciones iniciales para los términos clave utilizados en este campo y busca generar una discusión nacional al respecto.

answer:One science subject that I am particularly interested in within the field of computer science is artificial intelligence or AI. AI is a branch of computer science that focuses on the development of intelligent machines that can perform tasks that typically require human intelligence. What fascinates me about AI is its ability to learn and adapt. Machine learning, a subset of AI, enables computers to recognize patterns and make predictions without explicit programming. This technology has proven to be immensely powerful in various applications, such as natural language processing, image recognition, and autonomous vehicles. One collocation that comes to mind when discussing AI is "neural networks." Neural networks are computational models that are inspired by the structure and functions of the human brain. They consist of interconnected layers of artificial neurons that work together to recognize patterns and learn from data. This technique has revolutionized the field of AI, enabling advanced capabilities like deep learning. Another idiom that is often used in the context of AI is "black box." This refers to a situation where the inner workings of an AI system are not transparent or understandable, making it hard to discern how a particular decision or prediction was made. This lack of interpretability raises ethical concerns, particularly when it comes to sensitive applications like criminal justice or healthcare. Additionally, "big data" is a term frequently associated with AI. As AI algorithms rely on vast amounts of data to train and improve their performance, the analysis and manipulation of large datasets have become integral to the field. This highlights the importance of data collection, storage, and processing infrastructure, as well as techniques like data mining and data visualization. Overall, AI presents both exciting opportunities and ethical challenges, making it a captivating science subject within computer science. Its potential to revolutionize various industries and improve our lives is undoubtedly immense.

answer:One science subject that I am particularly intrigued by within the field of computer science is quantum computing. Quantum computing is a revolutionary concept that explores the principles of quantum mechanics to design computers that can solve complex problems exponentially faster than classical computers. What captivates me about quantum computing is its potential to revolutionize various fields, including cryptography, optimization problems, and drug discovery. With the power of quantum bits, or qubits, quantum computers can perform calculations on multiple states simultaneously, leading to a parallel processing capability that far surpasses classical computers. One collocation frequently used in the realm of quantum computing is "quantum entanglement." Quantum entanglement refers to the phenomenon where two or more particles become connected and influenced by each other's states, regardless of the distance between them. This property of entanglement plays a vital role in quantum algorithms and enables the manipulation and transmission of quantum information. Another idiom that is often associated with quantum computing is "superposition." Superposition refers to the idea that a qubit can exist in multiple states simultaneously, rather than being confined to just one like classical bits. This attribute of superposition allows quantum computers to explore and evaluate different possibilities simultaneously, enhancing their computational power. Furthermore, "quantum supremacy" is a term frequently used in discussions around quantum computing. Quantum supremacy refers to the point at which a quantum computer can perform a calculation that is beyond the capabilities of any classical computer, even the most advanced supercomputers available today. Achieving quantum supremacy would mark a significant milestone in the development of quantum computing. Lastly, "quantum algorithms" are a crucial aspect of studying quantum computing. These algorithms are specifically designed to harness the unique properties of quantum systems, such as superposition and entanglement, to solve problems more efficiently than classical algorithms. Well-known quantum algorithms include Shor's algorithm for factoring large numbers and Grover's algorithm for searching unsorted databases. In summary, quantum computing is a captivating science subject within computer science that has the potential to transform various industries and solve problems that are currently not feasible for classical computers. Its concepts, like quantum entanglement, superposition, quantum supremacy, and quantum algorithms, showcase the exciting and groundbreaking advancements in the field.