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Teachers Learning : Professional Development and Education
A collaborative series with the University of Cambridge Faculty of Education highlighting leading-edge research across Teacher Education, International Education Reform and Language Education. Teachers Learning focuses on continuing teacher's professional development through accounts of recent enquiries.From presenting evidence and arguments about the teacher's role and profession, knowledge and knowledge creation, other organisations in the educational landscape, issues of power, status and development, this book highlights the crucial importance and effectiveness of teachers' learning benefitting pupils and classroom learning.
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Signal Processing and Machine Learning with Applications
Signal processing captures, interprets, describes and manipulates physical phenomena.Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information.This book presents different kinds of signals humans use and applies them for human machine interaction to communicate.Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications.It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence.The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes.The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engagedwith signal processing, machine learning and the applications.
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Learning Curve : Lessons on Leadership, Education, and Personal Growth
Personal development is not easy. So why do so many leadership and self-help books read like an author's highlight reel?Learning Curve pushes back against conventional literature by discussing the real, behind-the-scenes challenges of a developing school leader. Blending authentic anecdotes with relevant research, Learning Curve transforms complicated life principles into useful pearls of wisdom.Whether you are looking for a few helpful ideas-or are searching for a complete mental makeover-Learning Curve serves as a practical resource for motivated, everyday school leaders.
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ADF4351 Development Board Module RF Signal Source Phase-Locked Loop 35M-4400M RF Signal Generation
ADF4351 Development Board Module RF Signal Source Phase-Locked Loop 35M-4400M RF Signal Generation
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What is a digital signal in signal processing?
A digital signal in signal processing is a discrete-time signal that is represented using a sequence of numbers. These numbers are typically binary and are used to represent the amplitude of the signal at specific time intervals. Digital signals are used in various applications such as telecommunications, audio processing, and image processing. They offer advantages such as easier storage, transmission, and manipulation compared to analog signals.
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How can one explain signal transduction and signal transmission?
Signal transduction is the process by which a cell converts an extracellular signal into a specific cellular response. This process typically involves a series of molecular events, including the binding of a signaling molecule to a receptor on the cell surface, activation of intracellular signaling pathways, and ultimately leading to changes in gene expression, metabolism, or other cellular functions. Signal transmission, on the other hand, refers to the propagation of the signal from one cell to another, often through the release of signaling molecules such as hormones or neurotransmitters. Together, signal transduction and signal transmission allow cells to communicate with each other and coordinate their activities in response to external stimuli.
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'Signal or Telegram?'
Signal and Telegram are both popular messaging apps known for their focus on privacy and security. Signal is known for its end-to-end encryption and commitment to user privacy, making it a top choice for those seeking secure communication. On the other hand, Telegram offers a wider range of features such as large group chats, channels, and bots, making it a more versatile option for users looking for a more social experience. Ultimately, the choice between Signal and Telegram depends on your priorities - if privacy is your main concern, Signal may be the better option, while if you value features and customization, Telegram may be more suitable for you.
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How can I upmix a 5.1 signal to a 7.1 signal?
To upmix a 5.1 signal to a 7.1 signal, you can use an audio processor or receiver that has built-in upmixing capabilities. These devices can analyze the 5.1 signal and create additional audio channels to fill out the 7.1 speaker setup. Additionally, you can use software plugins or digital audio workstations to upmix the signal in a computer-based environment. It's important to note that while upmixing can create a more immersive sound experience, it may not always be able to perfectly replicate the original 7.1 audio.
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Digital Signal Processing : Fundamentals, Applications, and Deep Learning
Digital Signal Processing: Fundamentals, Applications, and Deep Learning, Fourth Edition introduces students to the fundamental principles of DSP while also providing a working knowledge they can take with them into their engineering careers.Many instructive, worked examples are used to illustrate the material, and the use of mathematics is minimized for an easier grasp of concepts.As such, this book is also useful as a reference for non-engineering students and practicing engineers.The book goes beyond DSP theory, showing the implementation of algorithms in hardware and software. Additional topics covered include DSP for artificial intelligence, adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc.More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, µ-law, ADPCM, and multi-rate DSP, over-sampling ADC subband coding, and wavelet transform.
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Machine Learning Algorithms : Adversarial Robustness in Signal Processing
This book demonstrates the optimal adversarial attacks against several important signal processing algorithms.Through presenting the optimal attacks in wireless sensor networks, array signal processing, principal component analysis, etc, the authors reveal the robustness of the signal processing algorithms against adversarial attacks.Since data quality is crucial in signal processing, the adversary that can poison the data will be a significant threat to signal processing.Therefore, it is necessary and urgent to investigate the behavior of machine learning algorithms in signal processing under adversarial attacks. The authors in this book mainly examine the adversarial robustness of three commonly used machine learning algorithms in signal processing respectively: linear regression, LASSO-based feature selection, and principal component analysis (PCA).As to linear regression, the authors derive the optimal poisoning data sample and the optimal feature modifications, and also demonstrate the effectiveness of the attack against a wireless distributed learning system.The authors further extend the linear regression to LASSO-based feature selection and study the best strategy to mislead the learning system to select the wrong features.The authors find the optimal attack strategy by solving a bi-level optimization problem and also illustrate how this attack influences array signal processing and weather data analysis.In the end, the authors consider the adversarial robustness of the subspace learning problem.The authors examine the optimal modification strategy under the energy constraints to delude the PCA-based subspace learning algorithm. This book targets researchers working in machine learning, electronic information, and information theory as well as advanced-level students studying these subjects.R&D engineers who are working in machine learning, adversarial machine learning, robust machine learning, and technical consultants working on the security and robustness of machine learning are likely to purchase this book as a reference guide.
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Progress, Change and Development in Early Childhood Education and Care : International Perspectives
In 2000, the Millennium Development Goals set out targets aimed at creating a safer, more prosperous, and more equitable world.If these goals were to be achieved, children’s lives would indeed be transformed.In this collection, achievements against these targets are identified, with each contributor examining the progress made in early years provision in Australia, China, England, Greece, the Netherlands, Portugal, South Africa, and Sweden.They highlight the priorities and agendas of their respective governments, and focus on the trends and issues which are particularly relevant to each situation, thereby revealing the social and educational inequalities that persist across countries.A common theme running through this volume concerns the political tensions that arise when governments and educators hold fundamentally different views about the nature and purpose of early years education and the needs of children and families.It is clear that although the past two decades have seen many changes in attitude towards the importance of the early years of life; politically, economically, and environmentally, much still remains to be done if the Millennium Development Goals for young children and their families are to be fully met.Despite this, this volume demonstrates that those who work in this area continue to experience a deep concern for the well-being of young children, which transcends cultures, frontiers, and political and sectarian divides.This book was originally published as a special issue of the International Journal of Early Years Education.
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Development, Education and Learning in Sri Lanka : An International Research Journey
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How can a 5-volt signal control a 24-volt signal?
A 5-volt signal can control a 24-volt signal through the use of a relay or a transistor. A relay is an electromechanical switch that can be used to control a higher voltage circuit with a lower voltage signal. When the 5-volt signal is applied to the relay coil, it activates the switch, allowing the 24-volt signal to pass through. Similarly, a transistor can be used to amplify the 5-volt signal to control the 24-volt signal. By using these components, it is possible to control a higher voltage signal with a lower voltage signal.
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What is the signal strength, but the signal quality is poor?
The signal strength refers to the power of the signal being received, while the signal quality refers to the clarity and reliability of the data being transmitted. In the case of a strong signal but poor quality, it means that the device is receiving a strong signal, but the data being transmitted is not clear or reliable. This could be due to interference, noise, or other factors that are affecting the integrity of the signal. In such a situation, it may be necessary to troubleshoot the source of the poor signal quality in order to improve the overall performance of the connection.
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How does growth progress?
Growth progresses through a series of stages, starting from infancy and continuing through childhood, adolescence, and adulthood. During these stages, individuals experience physical, cognitive, emotional, and social development. Factors such as genetics, environment, nutrition, and experiences all play a role in shaping an individual's growth trajectory. As individuals grow, they acquire new skills, knowledge, and perspectives that contribute to their overall development and well-being.
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Do you know Signal?
Yes, Signal is a popular messaging app known for its focus on privacy and security. It offers end-to-end encryption for messages, voice calls, and video calls, making it a popular choice for users who prioritize privacy. Signal has gained attention for its commitment to protecting user data and has been recommended by privacy advocates and security experts.
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