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  • Electronics Production Defects and Analysis
    Electronics Production Defects and Analysis

    This book is a unique book capturing defects that are frequently encountered during various fabrication phases of electronic packages.These defects have been analyzed to their root cause and mitigation techniques and presented in the book.The book includes 228 cases with more than 480 color and magnified images of the defects.These defects are covered under eight subheads, viz soldering defects, PCB defects, mounting defects, conformal coating and potting defects, EEE component defects, workmanship defects, defects due to usage of non-FFF components, and defects in CAD layout.The possible reasons for the occurrence of the defects and the methods/practices by which they can be eliminated/mitigated have also been discussed.The chapter "mounting defects" shows the correct approach in the adjacent photograph, so that the users can refer to the right procedures.The book is helpful to those who are involved in the production of electronics packages to familiarize them with the different cases shown carefully and revised frequently.Exposure to the different defects is useful to all who are working in fabrication and quality control to realize a zero-defect product sans much time and investment.The book is valuable for the technical community working for aerospace applications, industry partners in the realization of space programs, aerospace, and high-reliability institutions, various electronic fabrication agencies in the country, engineers and technicians taking up courses in high-reliability soldering and fabrication techniques, and the students.

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  • Technology Innovation for the Circular Economy : Recycling, Remanufacturing, Design, System Analysis and Logistics
    Technology Innovation for the Circular Economy : Recycling, Remanufacturing, Design, System Analysis and Logistics

    TECHNOLOGY INNOVATION FOR THE CIRCULAR ECONOMY The book comprises 56 peer-reviewed chapters comprehensively covering in-depth areas of circular economy design, planning, business models, and enabling technologies. Some of the greatest opportunities for innovation in the circular economy are in remanufacturing, refurbishment, reuse, and recycling.Critical to its growth, however, are developments in product design approaches and the manufacturing business model that are often met with challenges in the current, largely linear economies of today’s global manufacturing chains. The conference hosted by the REMADE Institute in Rochester, NY, brought together U.S. and international researchers, industry engineers, technologists, and policymakers, to discuss the myriad intertwining issues relating to the circular economy. This book consists of 56 chapters in 10 distinct parts covering broad areas of research and applications in the circular economy area.The first four parts explore the system level work related to circular economy approaches, models and advancements including the use of artificial intelligence (AI) and machine learning to guide implementation, as well as design for circularity approaches.Mechanical and chemical recycling technologies follow, highlighting some of the most advanced research in those areas.Next, innovation in remanufacturing is addressed with descriptions of some of the most advanced work in this field.This is followed by tire remanufacturing and recycling, highlighting innovative technologies in addressing the volume of end-of-use tires.Pathways to net-zero emissions in manufacturing of materials concludes the book, with a focus on industrial decarbonization. Audience This book has a wide audience in academic institutes, business professionals and engineers in a variety of manufacturing industries.It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.

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  • Analytical Technology in Nutrition Analysis
    Analytical Technology in Nutrition Analysis

    Due to increasing global food needs as a result of population growth, the use of new food sources has gained interest in the last decade. However, the inclusion of new foods in our diet, as well as the increased interest of the population in consuming foods with better nutritional properties, has increased the need for adequate food analytical methods. This monographic issue presents innovative methods of chemical analysis of foods, as well as the nutritional and chemical characterization of foods whose consumption is expected to increase worldwide in the coming years.

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  • Business Model Innovation : Concepts, Analysis, and Cases
    Business Model Innovation : Concepts, Analysis, and Cases

    Rooted in strategic management research, Business Model Innovation explores the concepts, tools, and techniques that enable organizations to gain and/or maintain a competitive advantage in the face of technological innovation, globalization, and an increasingly knowledge-intensive economy.Updated with all-new cases, this second edition of the must-have for those looking to grasp the fundamentals of business model innovation, explores the novel ways in which an organization can generate, deliver, and monetize benefits to customers.

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  • How are calculations for circuit analysis in digital technology performed?

    Calculations for circuit analysis in digital technology are performed using Boolean algebra and logic gates. Boolean algebra is used to represent the logical relationships between inputs and outputs in a digital circuit. Logic gates, such as AND, OR, and NOT gates, are then used to implement these logical relationships in the circuit. By applying Boolean algebra and using logic gates, engineers can analyze and design digital circuits to ensure proper functionality and performance.

  • Is source analysis the same as text analysis?

    Source analysis and text analysis are related but not the same. Source analysis involves examining the origin, context, and credibility of a source, while text analysis focuses on interpreting and understanding the content of a text itself. Source analysis helps determine the reliability and bias of a source, while text analysis delves into the meaning, structure, and language used in a text. Both are important in research and critical thinking, but they serve different purposes in analyzing information.

  • Is dialog analysis the same as scene analysis?

    Dialog analysis and scene analysis are not the same, although they are related. Dialog analysis focuses specifically on the spoken interactions between characters, examining the content, tone, and subtext of the conversations. On the other hand, scene analysis encompasses a broader view of the entire scene, including the setting, actions, and non-verbal communication in addition to the dialog. While dialog analysis is a part of scene analysis, scene analysis includes a more comprehensive examination of all elements within a particular scene.

  • What is the analysis of the semen analysis?

    The analysis of a semen analysis typically includes evaluating the volume of semen, sperm count, sperm motility, and sperm morphology. The volume of semen provides information about the amount of fluid produced by the male reproductive system. Sperm count measures the number of sperm present in the semen, while sperm motility assesses the movement and speed of the sperm. Sperm morphology examines the shape and structure of the sperm, looking for abnormalities that may affect fertility. Overall, the analysis provides important information about a man's fertility potential and can help identify any potential issues with sperm quality or quantity.

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  • Healthcare Finance : Modern Financial Analysis for Accelerating Biomedical Innovation
    Healthcare Finance : Modern Financial Analysis for Accelerating Biomedical Innovation

    An introductory finance textbook for the healthcare industry We are living in a golden age of biomedical innovation, yet entrepreneurs still struggle with the so-called Valley of Death when seeking funding for their biotech start-ups.In Healthcare Finance, Andrew Lo and Shomesh Chaudhuri show that there are better ways to finance breakthrough therapies, and they provide the essential financial tools and concepts for creating the next generation of healthcare technologies. Geared for MBA and life sciences students, as well as biopharma executives and healthcare investment professionals, this textbook covers the theory and application of financial techniques such as diversification, discounted cash flow analysis, real options, Monte Carlo simulation, and securitization, all within the context of managing biomedical assets.The book demonstrates that more efficient funding structures can reduce financial risks, lower the cost of capital, and bring more lifesaving therapies to patients faster.Readers will gain the background, framework, and techniques needed to reshape the healthcare industry in positive ways.Finance doesn’t have to be a zero-sum game, and Healthcare Finance proves that it is possible to do well by doing good. Explores new financing methods for the biopharma industryProvides accessible explanations for making good business decisions in the life sciencesAnalyzes real-world examples, case studies, and practical applicationsIncludes access to videos of lectures and recitations, interactive figures, self-graded problem sets, and other online content

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  • Connectome Analysis : Characterization, Methods, and Analysis
    Connectome Analysis : Characterization, Methods, and Analysis

    Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes.The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis.Emphasis is placed on quality control of the individual analysis steps.Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.

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  • Analysis
    Analysis


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  • Understanding Analysis
    Understanding Analysis

    This lively introductory text exposes the student to the rewards of a rigorous study of functions of a real variable.In each chapter, informal discussions of questions that give analysis its inherent fascination are followed by precise, but not overly formal, developments of the techniques needed to make sense of them.By focusing on the unifying themes of approximation and the resolution of paradoxes that arise in the transition from the finite to the infinite, the text turns what could be a daunting cascade of definitions and theorems into a coherent and engaging progression of ideas.Acutely aware of the need for rigor, the student is much better prepared to understand what constitutes a proper mathematical proof and how to write one. Fifteen years of classroom experience with the first edition of Understanding Analysis have solidified and refined the central narrative of the second edition.Roughly 150 new exercises join a selection of the best exercises fromthe first edition, and three more project-style sections have been added.Investigations of Euler’s computation of ?(2), the Weierstrass Approximation ­ Theorem, and the gamma function are now among the book’s cohort of seminal results serving as motivation and payoff for the beginning student to master the methods of analysis.

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  • What is the difference between a textual analysis, a scene analysis, and a narrative analysis?

    A textual analysis focuses on the language and structure of a written text, examining the use of literary devices, themes, and symbolism. A scene analysis, on the other hand, zooms in on a specific segment of a film or play, analyzing the visual and auditory elements, character interactions, and the overall impact of the scene on the narrative. Narrative analysis, meanwhile, looks at the broader story structure, character development, and the way the plot unfolds over the course of the entire text. Each type of analysis offers a unique perspective on the text and allows for a deeper understanding of its meaning and impact.

  • What is the difference between Analysis and Higher Analysis?

    Analysis is the branch of mathematics that deals with limits, continuity, derivatives, integrals, and infinite series. It is a fundamental area of mathematics that is essential for understanding calculus and other advanced mathematical concepts. Higher Analysis, on the other hand, refers to more advanced topics within the field of analysis, such as functional analysis, complex analysis, and harmonic analysis. These areas delve deeper into the study of functions, spaces, and structures, and often involve more abstract and complex mathematical techniques.

  • Is source analysis the same as factual text analysis?

    Source analysis and factual text analysis are related but not the same. Source analysis involves evaluating the credibility, bias, and perspective of the source of information, while factual text analysis focuses on examining the content of the text for accuracy and reliability of the information presented. Source analysis helps determine the trustworthiness of the information, while factual text analysis assesses the content itself. Both are important in critically evaluating information, but they involve different aspects of analysis.

  • What is the difference between Analysis and Advanced Analysis?

    Analysis typically involves examining data or information to understand its components, structure, and meaning. Advanced Analysis, on the other hand, involves a more in-depth and complex examination of data using sophisticated techniques and tools. It often requires a higher level of expertise and specialized knowledge to uncover deeper insights, patterns, and trends that may not be easily visible through traditional analysis methods. Advanced Analysis may also involve predictive modeling, machine learning, or other advanced statistical techniques to extract valuable insights from data.

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