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This book initiates with an introduction to polymeric materials,
followed by various classifications and properties of polymeric
implant material including various development methods of polymeric
materials and their characterization techniques. An overview of
various toxicology assessments of polymeric materials and polymeric
materials for drug delivery system is also included. Design and
Analysis of Polymeric Materials based Components using Ansys
Software along with polymeric materials for additively manufactured
artificial organs is also discussed. Features: Addresses assessment
of polymeric materials in biomedical sciences including
classification, properties, and development of polymeric implants.
Covers various topics in the field of tissue regeneration.
Discusses the biocompatibility, toxicity, and biodegradation of
polymeric materials. Explores wide scale characterization to study
the effect of inclusion size on mechanical properties of polymeric
materials. Reviews limitations and future directions on polymeric
material with emphasis on biocompatibility. This book is aimed at
graduate students and researchers in biomaterials, biomedical
engineering, composites, and polymers.
Explores different processing methods of green and eco-friendly
composites Discusses development and optimization of green
nanocomposites for sustainable manufacturing Collates modern green
and eco-friendly composites research from theory to application
Covers hybridization of reinforced fibers on the performance of
green and eco-friendly composites Analyses and discusses
calculation of carbon footprint and Life Cycle Assessment of
composite materials
This book presents select proceedings of the International
Conference on Future Learning Aspects of Mechanical Engineering
(FLAME 2020). This book, in particular, focuses on characterizing
materials using novel techniques. It covers a variety of advanced
materials, viz. composites, coatings, nanomaterials, materials for
fuel cells, biomaterials among others. The book also discusses
advanced characterization techniques like X-ray photoelectron, UV
spectroscopy, scanning electron, atomic power, transmission
electron and laser confocal scanning fluorescence microscopy, and
gel electrophoresis chromatography. This book gives the readers an
insight into advanced material processes and characterizations with
special emphasis on nanotechnology.
This book presents select proceedings of the International
Conference on Future Learning Aspects of Mechanical Engineering
(FLAME 2020). This book, in particular, focuses on characterizing
materials using novel techniques. It covers a variety of advanced
materials, viz. composites, coatings, nanomaterials, materials for
fuel cells, biomaterials among others. The book also discusses
advanced characterization techniques like X-ray photoelectron, UV
spectroscopy, scanning electron, atomic power, transmission
electron and laser confocal scanning fluorescence microscopy, and
gel electrophoresis chromatography. This book gives the readers an
insight into advanced material processes and characterizations with
special emphasis on nanotechnology.
Rapid advances in microelectronic integration and the advent of
Systems-on-Chip have fueled the need for high-level synthesis,
i.e., an automated approach to the synthesis of hardware from
behavioral descriptions.
SPARK: A Parallelizing Approach to the High - Level Synthesis of
Digital Circuits presents a novel approach to the high-level
synthesis of digital circuits -- that of parallelizing high-level
synthesis (PHLS). This approach uses aggressive code parallelizing
and code motion techniques to discover circuit optimization
opportunities beyond what is possible with traditional high-level
synthesis. This PHLS approach addresses the problems of the poor
quality of synthesis results and the lack of controllability over
the transformations applied during the high-level synthesis of
system descriptions with complex control flows, that is, with
nested conditionals and loops.
Also described are speculative code motion techniques and dynamic
compiler transformations that optimize the circuit quality in terms
of cycle time, circuit size and interconnect costs. We describe the
SPARK parallelizing high-level synthesis framework in which we have
implemented these techniques and demonstrate the utility of SPARK's
PHLS approach using designs derived from multimedia and image
processing applications. We also present a case study of an
instruction length decoder derived from the Intel Pentium-class of
microprocessors. This case study serves as an example of a typical
microprocessor functional block with complex control flow and
demonstrates how our techniques are useful for such designs.
SPARK: A Parallelizing Approach to the High - Level Synthesis of
Digital Circuits is targeted mainly to embedded system designers
and researchers. This includes people working on design and design
automation. The book is useful for researchers and design
automation engineers who wish to understand how the main problems
hindering the adoption of high-level synthesis among designers.
Rapid advances in microelectronic integration and the advent of
Systems-on-Chip have fueled the need for high-level synthesis,
i.e., an automated approach to the synthesis of hardware from
behavioral descriptions.
SPARK: A Parallelizing Approach to the High - Level Synthesis of
Digital Circuits presents a novel approach to the high-level
synthesis of digital circuits -- that of parallelizing high-level
synthesis (PHLS). This approach uses aggressive code parallelizing
and code motion techniques to discover circuit optimization
opportunities beyond what is possible with traditional high-level
synthesis. This PHLS approach addresses the problems of the poor
quality of synthesis results and the lack of controllability over
the transformations applied during the high-level synthesis of
system descriptions with complex control flows, that is, with
nested conditionals and loops.
Also described are speculative code motion techniques and dynamic
compiler transformations that optimize the circuit quality in terms
of cycle time, circuit size and interconnect costs. We describe the
SPARK parallelizing high-level synthesis framework in which we have
implemented these techniques and demonstrate the utility of SPARK's
PHLS approach using designs derived from multimedia and image
processing applications. We also present a case study of an
instruction length decoder derived from the Intel Pentium-class of
microprocessors. This case study serves as an example of a typical
microprocessor functional block with complex control flow and
demonstrates how our techniques are useful for such designs.
SPARK: A Parallelizing Approach to the High - Level Synthesis of
Digital Circuits is targeted mainlyto embedded system designers and
researchers. This includes people working on design and design
automation. The book is useful for researchers and design
automation engineers who wish to understand how the main problems
hindering the adoption of high-level synthesis among designers.
Learn how to bring your data to life with this hands-on guide to
visual analytics with Tableau Key Features Master the fundamentals
of Tableau Desktop and Tableau Prep Learn how to explore, analyze,
and present data to provide business insights Build your experience
and confidence with hands-on exercises and activities Book
DescriptionLearning Tableau has never been easier, thanks to this
practical introduction to storytelling with data. The Tableau
Workshop breaks down the analytical process into five steps: data
preparation, data exploration, data analysis, interactivity, and
distribution of dashboards. Each stage is addressed with a clear
walkthrough of the key tools and techniques you'll need, as well as
engaging real-world examples, meaningful data, and practical
exercises to give you valuable hands-on experience. As you work
through the book, you'll learn Tableau step by step, studying how
to clean, shape, and combine data, as well as how to choose the
most suitable charts for any given scenario. You'll load data from
various sources and formats, perform data engineering to create new
data that delivers deeper insights, and create interactive
dashboards that engage end-users. All concepts are introduced with
clear, simple explanations and demonstrated through realistic
example scenarios. You'll simulate real-world data science projects
with use cases such as traffic violations, urban populations,
coffee store sales, and air travel delays. By the end of this
Tableau book, you'll have the skills and knowledge to confidently
present analytical results and make data-driven decisions. What you
will learn Become an effective user of Tableau Prep and Tableau
Desktop Load, combine, and process data for analysis and
visualization Understand different types of charts and when to use
them Perform calculations to engineer new data and unlock hidden
insights Add interactivity to your visualizations to make them more
engaging Create holistic dashboards that are detailed and
user-friendly Who this book is forThis book is for anyone who wants
to get started on visual analytics with Tableau. If you're new to
Tableau, this Workshop will get you up and running. If you already
have some experience in Tableau, this book will help fill in any
gaps, consolidate your understanding, and give you extra practice
of key tools.
Metaphysical Anatomy Technique Volume 2 explains the core foundation and healing technique behind Metaphysical Anatomy Volume 1 which describes step-by-step guide for identifying the psychosomatic pattern related to 679 medical conditions.
These conditions can be activated by circumstances in your present life, your ancestry, conception, womb, birth trauma, childhood or adult life. Volume 2 teaches you the foundation of Volume 1 including a powerful healing technique.
Design, process, and analyze large sets of complex data in real
time About This Book * Get acquainted with transformations and
database-level interactions, and ensure the reliability of messages
processed using Storm * Implement strategies to solve the
challenges of real-time data processing * Load datasets, build
queries, and make recommendations using Spark SQL Who This Book Is
For If you are a Big Data architect, developer, or a programmer who
wants to develop applications/frameworks to implement real-time
analytics using open source technologies, then this book is for
you. What You Will Learn * Explore big data technologies and
frameworks * Work through practical challenges and use cases of
real-time analytics versus batch analytics * Develop real-word use
cases for processing and analyzing data in real-time using the
programming paradigm of Apache Storm * Handle and process real-time
transactional data * Optimize and tune Apache Storm for varied
workloads and production deployments * Process and stream data with
Amazon Kinesis and Elastic MapReduce * Perform interactive and
exploratory data analytics using Spark SQL * Develop common
enterprise architectures/applications for real-time and batch
analytics In Detail Enterprise has been striving hard to deal with
the challenges of data arriving in real time or near real time.
Although there are technologies such as Storm and Spark (and many
more) that solve the challenges of real-time data, using the
appropriate technology/framework for the right business use case is
the key to success. This book provides you with the skills required
to quickly design, implement and deploy your real-time analytics
using real-world examples of big data use cases. From the beginning
of the book, we will cover the basics of varied real-time data
processing frameworks and technologies. We will discuss and explain
the differences between batch and real-time processing in detail,
and will also explore the techniques and programming concepts using
Apache Storm. Moving on, we'll familiarize you with "Amazon
Kinesis" for real-time data processing on cloud. We will further
develop your understanding of real-time analytics through a
comprehensive review of Apache Spark along with the high-level
architecture and the building blocks of a Spark program. You will
learn how to transform your data, get an output from
transformations, and persist your results using Spark RDDs, using
an interface called Spark SQL to work with Spark. At the end of
this book, we will introduce Spark Streaming, the streaming library
of Spark, and will walk you through the emerging Lambda
Architecture (LA), which provides a hybrid platform for big data
processing by combining real-time and precomputed batch data to
provide a near real-time view of incoming data. Style and approach
This step-by-step is an easy-to-follow, detailed tutorial, filled
with practical examples of basic and advanced features. Each topic
is explained sequentially and supported by real-world examples and
executable code snippets.
About This Book Develop a set of common applications and solutions
with Neo4j and Python Secure and deploy the Neo4j database in
production A step-by-step guide on implementing and deploying
interactive Python-based web applications on graph data model Who
This Book Is ForIf you are a Python developer and want to expand
your understanding of Python-based web applications over Neo4j
graph data models, this is the book for you. What You Will Learn
Understand the licensing and installation of the Neo4j database and
work with its various tools and utilities Learn the intricacies of
Cypher as a graph query language Work with Cypher to create and
modify graph data models Integrate Python and Neo4j using Py2neo
Develop REST-based services over social network data using Flask
and object graph models over Neo4j Integrate Django-based web
applications over graph data models using Neomodel Explore
different deployment models and their applicability with existing
applications In DetailPy2neo is a simple and pragmatic Python
library that provides access to the popular graph database Neo4j
via its RESTful web service interface. This brings with it a
heavily refactored core, a cleaner API, better performance, and
some new idioms. You will begin with licensing and installing
Neo4j, learning the fundamentals of Cypher as a graph query
language, and exploring Cypher optimizations. You will discover how
to integrate with various Python frameworks such as Flask and its
extensions: Py2neo, Neomodel, and Django. Finally, the deployment
aspects of your Python-based Neo4j applications in a production
environment is also covered. By sequentially working through the
steps in each chapter, you will quickly learn and master the
various implementation details and integrations of Python and
Neo4j, helping you to develop your use cases more quickly.
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Rhinoplasty (Paperback)
Singh Nishant, Agarwal Sumit, Gupta Manish
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R1,440
Discovery Miles 14 400
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Ships in 10 - 15 working days
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We advocate a systematic, graduated approach to rhinoplasty in
every phase of patient encounter from the pre- to intra to
postoperative period. This approach is contingent on three guiding
principles: planning, simplicity, and flexibility, which should
inform on every rhinoplasty venture. With a detailed plan well
thought out in advance, the surgeon may avoid protracted operative
time and ill-defined goals. Using the full arsenal of techniques,
including delivery, nondelivery, and open approaches (which
celebrates the goal of flexibility), the surgeon may select only
the simplest method that will correct the deformity and thereby
reduce unnecessary variables associated with radical dissection and
reestablishment of nasal structure. Despite the best efforts, the
surgeon should also exercise a systematic review of all his work
for as many years as patient compliance permits so as to ensure
that all his surgical efforts are enduring."
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