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  • Sustainable Energy Development : A Multi-Criteria Decision Making Approach
    Sustainable Energy Development : A Multi-Criteria Decision Making Approach

    Sustainable Energy Development: A Multi-Criteria Decision Making Approach discusses sustainable energy development, the main path for achieving carbon neutrality, and the use of multi-criteria decision making (MCDM) in assessing energy transition in both operational and socio-political forms.It proposes ways to support responsible decision making toward sustainable energy in key areas such as power distribution, household energy, and transportation.The authors have developed frameworks and tools to help choose sustainable energy options like renewable energy technologies, energy efficiency improvements, policies, and how to promote them in different communities.The book includes several case studies focused on electricity, district heating, transport sectors in the European Union (EU), and decision making in the household sector.FeaturesAnalyzes the connection between sustainable energy development and the transition toward a carbon neutral society.Compares and discusses advanced MCDM tools to support sustainable energy options.Develops new frameworks of indicators for the assessment of sustainable regional and national energy system planning, and provides practical illustrative examples in various energy sectors.Provides policy implications when promoting sustainable energy development.Presents case studies on the applications of multi-criteria tools to support sustainable energy options in different energy sectors. Readers interested in gaining insight into leading trends in energy efficiency and sustainability, such as academics, researchers, graduate students, and professionals interested in sustainable energy and energy producers, city planners, policy makers, and more, will benefit from the topics and frameworks discussed in this book.

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  • Cut-Over Criteria
    Cut-Over Criteria

    Cut-Over Criteria

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  • Wittgenstein on Criteria and Practices
    Wittgenstein on Criteria and Practices

    In the interpretive literature from the 1950's through the 1970's the term 'criterion' was thought to be a central key to the understanding of Wittgenstein's later philosophy.Later on, it was relegated from this place of honour to being one of a variety of expressions used by Wittgenstein in dealing with philosophical questions.This Element tries to account for the shifting fate of this concept.It discusses the various occurrences of the word “criteria” in the Philosophical Investigations, argues that the post-Wittgensteinian debate about criteria was put on the wrong track by a problematic passage in Wittgenstein's early Blue Book, and finally gives an overview of the main contributions to this debate, trying to achieve a reconciliation between the rival conceptions.

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  • Programming Machine Learning : From Coding to Deep Learning
    Programming Machine Learning : From Coding to Deep Learning

    You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.

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  • Is learning programming and software development very challenging?

    Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.

  • What are the 4 criteria of higher development?

    The four criteria of higher development are sustainability, inclusivity, resilience, and innovation. Sustainability refers to the ability to meet the needs of the present without compromising the ability of future generations to meet their own needs. Inclusivity involves ensuring that all members of society have equal access to opportunities and resources. Resilience is the capacity to recover from and adapt to challenges and disruptions. Innovation involves the creation and adoption of new ideas, technologies, and practices to drive progress and improvement. These criteria are essential for achieving holistic and sustainable development.

  • How do you write 'criteria-oriented' or 'criteria oriented'?

    Both "criteria-oriented" and "criteria oriented" are correct, but the hyphenated version is more commonly used in formal writing. When writing "criteria-oriented," make sure to include the hyphen between "criteria" and "oriented" to show that the two words are connected and working together as a single concept. This helps to clarify that the focus is on the criteria when describing something as criteria-oriented.

  • How can the criteria of evolutionary development in vertebrates be demonstrated?

    The criteria of evolutionary development in vertebrates can be demonstrated through the study of comparative anatomy, embryology, and genetics. By comparing the anatomical structures of different vertebrate species, scientists can identify similarities and differences that provide evidence of evolutionary relationships. Additionally, studying the embryonic development of vertebrates can reveal shared developmental pathways and structures that point to common ancestry. Finally, genetic analysis can provide insights into the evolutionary history of vertebrates by identifying shared genetic sequences and molecular mechanisms. Together, these approaches help to demonstrate the criteria of evolutionary development in vertebrates.

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  • Making Better Decisions : Balancing Conflicting Criteria
    Making Better Decisions : Balancing Conflicting Criteria

    This book offers a comprehensive introduction to decision-making in an MCDM framework.Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information.This includes the concept of nondominance, Simon’s bounded rationality, Tversky and Kahneman’s prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius.The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms.In essence, the book is a “one-stop” source on everything you need to know about managerial decision-making in the multiple-criteria setting.

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  • Multi-Criteria Decision Analysis in Management
    Multi-Criteria Decision Analysis in Management

    Multi-criteria decision making (MCDM) has been extensively used in diverse disciplines, with a variety of MCDM techniques used to solve complex problems.A primary challenge faced by research scholars is to decode these techniques using detailed step-by-step analysis with case studies and data sets.The scope of such work would help decision makers to understand the process of using MCDM techniques appropriately to solve complex issues without making mistakes. Multi-Criteria Decision Analysis in Management provides innovative insights into the rationale behind using MCDM techniques to solve decision-making problems and provides comprehensive discussions on these techniques from their inception, development, and growth to their advancements and applications.The content within this publication examines hybrid multicriteria models, value theory, and data envelopment.Ideal for researchers, management professionals, students, operations scholars, and academicians, this scholarly work supports and enhances the decision-making process.

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  • Manual of Tests and Criteria (Russian Edition)
    Manual of Tests and Criteria (Russian Edition)

    This publication contains criteria, test methods and procedures to be used for classification of dangerous goods according to the provisions of Parts 2 and 3 of the United Nations Recommendations on the Transport of Dangerous Goods, Model Regulations, as well as of chemicals presenting physical hazards according to the Globally Harmonized System of Classification and Labelling of Chemicals (GHS).It also supplements national or international regulations which are derived from the United Nations Recommendations on the Transport of Dangerous Goods or the GHS.

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  • The Success Criteria Playbook : A Hands-On Guide to Making Learning Visible and Measurable
    The Success Criteria Playbook : A Hands-On Guide to Making Learning Visible and Measurable

    Provide students a clear view of what success looks like for any process, task, or product. What does success look like for your students?How will they know if they have learned? This essential component of teaching and learning can be difficult to articulate but is vital to achievement for both teachers and students. The Success Criteria Playbook catapults teachers beyond learning intentions to define clearly what success looks like for every student—whether face-to-face or in a remote learning environment.Designed to be used collaboratively in grade-level, subject area teams—or even on your own—the step-by-step playbook expands teacher understanding of how success criteria can be utilized to maximize student learning and better engage learners in monitoring and evaluating their own progress.Each module is designed to support the creation and immediate implementation of high-quality, high impact success criteria and includes: • Templates that allow for guided and independent study for teachers. • Extensive STEM-focused examples from across the K-12 STEM curriculum to guide teacher learning and practice. • Examples of success criteria applied across learning domains and grades, including high school content, skills, practices, dispositions, and understandings. Ensure equity of access to learning and opportunity for all students by designing and employing high-quality, high-impact success criteria that connect learners to a shared understanding of what success looks like for any given learning intention.

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  • Which programming languages are used in software development?

    There are many programming languages used in software development, including popular languages such as Java, Python, C++, JavaScript, and Ruby. Each language has its own strengths and is used for different purposes in software development. For example, Java is commonly used for building enterprise-level applications, while Python is known for its simplicity and versatility. C++ is often used for system software and game development, while JavaScript is essential for web development. Overall, the choice of programming language depends on the specific requirements of the software being developed.

  • What are economic criteria?

    Economic criteria are the standards or measures used to evaluate the economic performance or potential of a business, project, or policy. These criteria can include factors such as profitability, return on investment, cost-effectiveness, market demand, and financial stability. By using economic criteria, decision-makers can assess the economic viability and impact of their choices and make informed decisions to achieve their goals.

  • What is the difference between software development and programming?

    Software development is a broader term that encompasses the entire process of creating software, including planning, designing, testing, and maintaining software applications. Programming, on the other hand, refers specifically to the act of writing code to instruct a computer to perform certain tasks. While programming is a key component of software development, software development involves a more comprehensive approach that includes various stages beyond just writing code.

  • What are the homology criteria for the development of the jaw in fish?

    The homology criteria for the development of the jaw in fish include the presence of a series of pharyngeal arches, which are composed of cartilage and associated muscles. These arches are homologous to the gill arches in fish and the embryonic structures that give rise to the jaws in other vertebrates. Additionally, the expression of certain genes, such as the Dlx and Hox genes, in the developing jaw structures is also considered a homologous trait across different species. Overall, the developmental processes and genetic pathways involved in jaw formation in fish show homology with those in other vertebrates, supporting the evolutionary relationship between these structures.

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