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James Warner Björkman, "Public-Private Partnerships in Health Care in India: Lessons for developing countries"
English | 2008 | ISBN: 0415467284 | EPUB | pages: 244 | 0.8 mb
Public-private partnerships are increasingly advocated to alleviate deficiencies in the public health system as well as to reduce economic stress on those who seek services from an expensive, burgeoning and unregulated private health sector. Focusing on India, this book examines how the private sector in developing countries is tapped to deliver health care services to poor and under-served sections of society through collaborative arrangements with the government. Having emerged as a key reform initiative, aspects of public-private partnership are examined such as the genesis of private sector partnerships, the ways in which the private sector is encouraged to deliver public health services, and the models and formats that make such partnerships possible.

Based on in-depth case studies from different states of India and drawing on experiences in other countries, the authors analyse challenges, opportunities and benefits of implementing public-private partnerships and explore whether partnership with the private sector can be designed to deliver health care services to the poor as well as the consequences for beneficiaries.
This book will be of interest to scholars of public policy and development administration, health policy and development economics as well as South Asian Studies.

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Michael G. Levitzky, "Pulmonary Physiology, Eighth Edition Ed 8"
English | ISBN: 0071793135 | 2013 | 320 pages | PDF | 4 MB
The best review of pulmonary physiology for the USMLE Step 1

For more than three decades, Pulmonary Physiology has provided medical students and residents with a solid background in the areas of pulmonary physiology essential for a thorough understanding of clinical medicine. Pulmonary Physiology, 8e teaches you how and why the human respiratory system works-in a style and presentation that makes it easy to absorb and integrate with your knowledge of other body systems.
Features:
Every chapter includes learning objectives, summaries of key concepts, study questions, clinical examples, illustrations of essential concepts, and suggested readings
Read more

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Pulsed Metal Vapour Lasers By William T. Silfvast (auth.), Dr Chris E. Little, Prof. Nikola V. Sabotinov (eds.)
1996 | 480 Pages | ISBN: 9401072477 | PDF | 18 MB
A comprehensive, up-to-date review of the physics and applications of a major class of laser, the most important example of which is the copper vapour laser. A collection of 50 papers written by the world's leaders in the field. Papers cover: the early history of pulsed metal vapour lasters; the plasma kinetics and excitation mechanisms of self terminating and recombination metal vapour lasers; beam quality issues for applications; frequency harmonic generation for mid-UV applications; high-precision processing of metals, ceramics, glasses and plastics using metal vapour lasers; applications in medicine, including oncology and dermatology; applications in science such as spectroscopy and mass spectrometry. A practical source of information on the physics, engineering and applications of metal vapour lasers. Audience: scientists, teachers and graduate researchers working in the fields of gas lasers, laser optics, gas discharges, optoelectronics and laser applications in industry, science and medicine.

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Jim Sullivan, Fred Schneider, "Punk, Post Punk, New Wave: Onstage, Backstage, In Your Face, 1978-1991"
English | 2020 | pages: 240 | ISBN: 1419748548 | EPUB | 154,2 mb
A one-of-a-kind collection featuring award-winning photographer Michael Grecco's iconic and never-before-seen images of punk and post-punk's quintessential bands.

Introduction by Jim Sullivan
Foreword by Fred Schneider of the B-52's
In the late 1970s, punk rock music began to evolve into the post-punk and new wave movements that dominated until the early '90s. During this time, prolific photographer and filmmaker Michael Grecco was in the thick of things, documenting the club scene in places like Boston and New York, and getting shots on- and backstage with bands such as The Cramps, Dead Kennedys, Talking Heads, Human Sexual Response, Elvis Costello, Joan Jett, the Ramones, and many others. Grecco captured in black and white and color the raw energy, sweat, and antics that characterized the alternative music of the time.
Punk, Post Punk, New Wave: Onstage, Backstage, In Your Face, 1978-1991 features stunning, never-before-seen photography from this iconic period in music. In addition to concert photography, he also shot album covers and promotional pieces that round out this impressively extensive photo collection-a quintessential piece of music history for anyone looking for backstage access into the careers of punk and post punk's most beloved bands.
"In 162 gorgeous color and black-and-white photos, Grecco takes readers back to a vibrant bygone era as his camera captures the performers' raw energy and outrageousness both onstage and off." -Newsday

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Christopher T. Gans, "PUTIN: The History of the Reign & The Shape-Shifting Strategy: Putin's Early History, Putin's Evolving Anti-Americanism, Putin's Hybrid-authoritarian Machine, Putin's Political Career"
English | 2018 | ASIN: B078RM9MD6 | EPUB | pages: 188 | 0.9 mb
Is Vladimir Putin nuts? Has he drunk too much Russian vodka? Does he truly hate America? Do the people he presides over truly hate America? This book analyzes modern anti-Americanism in Russia during the era of Vladimir Putin. The main objective is to evaluate Vladimir Putin's anti-Americanism and the domestic political implications of Putinist anti-Americanism within Russia.

Contents:
Putin's Evolving Anti-Americanism
Putin's Hybrid-authoritarian Machine
Implications of Russians' Anti-Americanism
Putin's Early History
Early Life and College
Into the Shadows: Putin in the KGB and the Case for a Long Term Cognitive Predisposition
Yeltsin Era
Putin in the Aftermath of Collapse
Russia and the West in the 1990s: U.S. As an Inadvertent Contributor to PutinistAnti-americanism
NATO
Balkans
Economic Collapse and the Absence of U.S. Aid
Putin: A Sudden Thrust Into the Limelight
Putin's Short-lived Premiership and Acting Presidency
Crisis in Chechnya
Presidential Election of 2000
Putin's First Presidency
Integrate Into or With the West... or Neither?
The Attacks of 9/11 and the Aftermath
Brotherly Love: Putin and Bush
Iraq and a Sudden Turn Against America?
Putin's Second Presidency
Shift From the West
America Inadvertently Plays Into Putin's Hand
The Future of U.S. Unilateralism
Western Turn by Former Constituent States
Critical Reciprocity? Attack on Those Who Criticize Him
President to Puppet Master and Back Again: Putin's Recent Premiership and Return to the Presidency Georgia
The Obama-Medvedev Reset: Short Lived or DOA?
The 2012 Election and Putin's Third Term
Russian Anti-Americanism: The Man, the Machine, and the Nation
The Russian Connection: Anti-Americanism and the Putin-state-polity Link
Anti-Americanism's Role in the Future of Russian-American Relations
Most Recent Events
How Can America Cope?

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Putin's Revenge: Why Russia Invaded Ukraine (Woodrow Wilson Center) by Lucian Kim
English | December 3rd, 2024 | ISBN: 0231214022 | 344 pages | True EPUB | 1.85 MB
In February 2022, Russia invaded Ukraine in a bloody escalation of a conflict that had begun eight years earlier. What drove Vladimir Putin to launch Europe's largest land war since World War II?

Lucian Kim-an on-the-ground reporter in the region for decades-offers a gripping, definitive account of Russia's path to war, from Ukraine's 2004 Orange Revolution and the 2014 Maidan uprising right up to the full-scale invasion. He examines the Kremlin's motives, tracing Putin's transformation from a seemingly pragmatic leader into an embittered tyrant who saw it as his historical mission to reconquer Ukraine. Kim places the war in the broader context of the Soviet Union's collapse, arguing that it represents a clash between those who reject the Soviet past-like Volodymyr Zelensky and Alexei Navalny-and those who still identify with it. He debunks the Kremlin narrative that the West instigated the conflict, and he instead identifies the root causes of the war in the legacy of Russian imperialism and Putin's dictatorial rule. At the same time, Kim is critical of the West's empty promises to Ukraine, which made the country vulnerable to a revanchist Russia.
Putin's Revenge features insight from Kim's first-hand reporting on key moments, such as Russia's occupation of Crimea and the beginning of the Russian-backed insurgency in eastern Ukraine. This book tells the story of the lead-up to the invasion with revelatory detail and fresh analysis, shedding new light on a conflict that has roiled the post-Cold War order.

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Aldo Ferrari, Giancarlo Aragona, "Putin's Russia: Really Back?"
English | 2016 | ISBN: 8867054813 | EPUB | pages: 142 | 0.6 mb
Attempts by Washington and Brussels to push Russia to the fringes of global politics because of the Ukrainian crisis seem to have failed. Thanks to its important role in mediating the Iranian nuclear agreement, and to its unexpected military intervention in Syria, Moscow proved once again to be a key player in international politics. However, Russia's recovered assertiveness may represents a challenge to the uncertain leadership of the West. This report aims to gauging Russia's current role in the light of recent developments on the international stage. The overall Russian foreign policy strategy is examined by taking into account its most important issues: Ukraine and the relationship with the West; the Middle East (intervention in Syria, and ongoing relations with Turkey, Iran and Saudi Arabia); the development of the Eurasian Economic Union; the Russian pivot towards Asia, and China in particular. The volume also analyzes if and to what extent Moscow can fulfill its ambitions in a context of falling oil prices and international sanctions.

Aldo Ferrari. (PhD) teaches Armenian Language and Culture, History of Caucasus and Central Asia, and History of Russian Culture at Ca' Foscari University in Venice. He is Head of the Russia, Caucasus and Central Asia Programme at the Italian Institute for International Political Studies (ISPI) in Milan and President of ASIAC (Association of Italian Studies on Central Asia and the Caucasus).

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Putin's War on Ukraine: Russia's Campaign for Global Counter-Revolution by Samuel Ramani
English | June 20, 2023 | ISBN: 1787388514 | 592 pages | PDF | 7.54 Mb
Eight years after annexing Crimea, Russia embarked on a full-scale invasion of neighboring Ukraine in February 2022. For Vladimir Putin, this was a legacy-defining mission-to restore Russia's sphere of influence and undo Ukraine's surprisingly resilient democratic experiment. Yet Putin's aspirations were swiftly eviscerated, as the conflict degenerated into a bloody war of attrition and the Russian economy faced crippling sanctions. How can we make sense of his decision to invade?

This book argues that Putin's policy of global counter-revolution is driven not by systemic factors, such as preventing NATO expansion, but domestic ones: the desire to unite Russians around common principles and consolidate his personal brand of authoritarianism. This objective has inspired military interventions in Crimea, Donbas and Syria, and now all-out war against Kyiv.
Samuel Ramani explores why Putin opted for regime change in Ukraine, rather than a smaller-scale intervention in Donbas, and considers the impact on his own regime's legitimacy. How has Russia's long-term political and foreign policy trajectory shifted? And how will the international response reshape the world order?

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Putinburg: How Putin and His Gang From St. Petersburg Turned Russia Into the World's Largest Crime Organization
by Dmitry Zapolsky
English | 2024 | ISBN: 9655754170 | 394 Pages | ePUB | 19 MB

Crime. Corruption. Murder. Betrayal. The 2022 invasion of Ukraine might have caught most of the world by surprise - but not those familiar with President Vladimir Putin's gangster state and its inner workings. From stealing national resources to implementing a mafia-style hierarchy within the Kremlin, both Putin's rise and Russia's downfall can be traced back to a single point of origin: the city of Saint Petersburg.
In Putinburg, acclaimed St. Petersburg journalist Dmitriy Zapolsky gives a hair-raising account of the infamous Russian leader's rise to power and the impossible, gaudy cast of characters responsible for turning contemporary Russia into a new imperial monster.
With his dynamic and realistic style, Zapolsky paints a riveting portrait of St. Petersburg in the late 90s and early 2000s. Through his intimate knowledge and access to the people closest to the soon-to-be-president, Zapolsky reveals how, over the span of that single decade, Putin and his allies-dubbed "The St. Petersburg guys"-took over Russia's national resources, implemented a mafiaesque government, suppressed their opposition, and began exerting their influence both domestically and abroad. The result is a chilling insider's exposé of Russia's transformation during the Putin regime's formative years of corruption and violence.
More than a gonzo documentary, more than a thrilling political story-Putinburg is an authoritative, damning document made all the more relevant in the wake of Russia's invasion of Ukraine. It is a story of true journalism, insight, and a cautionary tale from one of the last brave Russian journalists.

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Python and Algorithmic Thinking for the Complete Beginner: Learn to Think Like a Programmer, 3rd Edition by Aristides Bouras
English | February 28, 2024 | ISBN: 9798863834207 | Retail PDF | 648 pages | 8.1 MB
Completely updated for the latest version of Python, this book offers a comprehensive introduction to programming, assuming no prior knowledge of the subject. It is designed for individuals eager to learn Python from scratch, providing a strong foundation in Algorithmic Thinking-the fundamental skill every aspiring programmer must acquire. Algorithmic Thinking encompasses more than just writing code; it entails mastering the art of problem-solving through coding.

This edition retains all the popular features of its predecessor while introducing a wealth of new exercises, along with extensive revisions and updates. Furthermore, brand-new chapters offer a practical introduction to working with text files.
Structured for both classroom use and independent study, each chapter is concluded with a set of questions and exercises designed to reinforce your understanding and apply what you've learned. With approximately 250 solved and 480 unsolved exercises, 500 true/false questions, 150 multiple-choice questions, and 200 review questions and crosswords (with solutions and answers available online), this book is ideal for:
Novices or intermediate-level programmers pursuing self-studyHigh school studentsFirst-years college or university studentsEducatorsProfessorsAnyone who wants to start learning or teaching computer programming using the best practices and techniques

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Python Data Analysis: Transforming Raw Data into Actionable Intelligence with Python's Data Analysis Capabilities
English | 2024 | ISBN: 9798224285570 | 75 pages | EPUB | 0.15 Mb
Python has emerged as a powerful language for data analysis, thanks to its extensive libraries and ease of use. Python for Data Analysis is a comprehensive guide that will help beginners and experienced professionals learn how to use Python for data analysis.

This book covers everything from the basics of Python programming to advanced topics like machine learning, deep learning, and Bayesian data analysis. The book begins by introducing readers to the basics of Python programming and the key data structures used in data analysis. It then covers the various data preparation and exploratory data analysis techniques that are commonly used in the field.

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Python Data Cleaning and Preparation Best Practices: A practical guide to organizing and handling data from various sources and formats using Python by Maria Zervou
English | September 27, 2024 | ISBN: 1837634742 | True PDF | 456 pages | 22.2 MB
Take your data preparation skills to the next level by converting any type of data asset into a structured, formatted, and readily usable dataset

Key Features
Maximize the value of your data through effective data cleaning methodsEnhance your data skills using strategies for handling structured and unstructured dataElevate the quality of your data products by testing and validating your data pipelines
Book Description
Professionals face several challenges in effectively leveraging data in today's data-driven world. One of the main challenges is the low quality of data products, often caused by inaccurate, incomplete, or inconsistent data. Another significant challenge is the lack of skills among data professionals to analyze unstructured data, leading to valuable insights being missed that are difficult or impossible to obtain from structured data alone.
To help you tackle these challenges, this book will take you on a journey through the upstream data pipeline, which includes the ingestion of data from various sources, the validation and profiling of data for high-quality end tables, and writing data to different sinks. You'll focus on structured data by performing essential tasks, such as cleaning and encoding datasets and handling missing values and outliers, before learning how to manipulate unstructured data with simple techniques. You'll also be introduced to a variety of natural language processing techniques, from tokenization to vector models, as well as techniques to structure images, videos, and audio.
By the end of this book, you'll be proficient in data cleaning and preparation techniques for both structured and unstructured data.
What you will learn
Ingest data from different sources and write it to the required sinksProfile and validate data pipelines for better quality controlGet up to speed with grouping, merging, and joining structured dataHandle missing values and outliers in structured datasetsImplement techniques to manipulate and transform time series dataApply structure to text, image, voice, and other unstructured data
Who this book is for
Whether you're a data analyst, data engineer, data scientist, or a data professional responsible for data preparation and cleaning, this book is for you. Working knowledge of Python programming is needed to get the most out of this book.

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Python Deep Learning - Third Edition: Understand how deep neural networks work and apply them to real-world tasks by Ivan Vasilev
English | November 24, 2023 | ISBN: 1837638500 | 362 pages | EPUB | 17 Mb
Master effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using PythonKey FeaturesUnderstand the theory, mathematical foundations and the structure of deep neural networksBecome familiar with transformers, large language models, and convolutional networksLearn how to apply them on various computer vision and natural language processing problemsBook Description

The field of deep learning has developed rapidly in the past years and today covers broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today.
The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning.
The second part of the book introduces convolutional networks for computer vision. We'll learn how to solve image classification, object detection, instance segmentation, and image generation tasks.
The third part focuses on the attention mechanism and transformers - the core network architecture of large language models. We'll discuss new types of advanced tasks, they can solve, such as chat bots and text-to-image generation.
By the end of this book, you'll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models or adapt existing ones to solve your tasks. You'll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.What you will learnEstablish theoretical foundations of deep neural networksUnderstand convolutional networks and apply them in computer vision applicationsBecome well versed with natural language processing and recurrent networksExplore the attention mechanism and transformersApply transformers and large language models for natural language and computer visionImplement coding examples with PyTorch, Keras, and Hugging Face TransformersUse MLOps to develop and deploy neural network modelsWho this book is for
This book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.Table of ContentsMachine Learning - an IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision with Convolutional NetworksAdvanced Computer Vision ApplicationsNatural Language Processing and Recurrent Neural NetworksThe Attention Mechanism and TransformersExploring Large Language Models in DepthAdvanced Applications of Large Language ModelsMachine Learning Operations (ML Ops)

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Python Feature Engineering Cookbook: A complete guide to crafting powerful features for your machine learning models, 3rd Edition by Soledad Galli
English | August 30th, 2024 | ISBN: 9781835883587 | 396 pages | True PDF | 18.10 MB
Leverage the power of Python to build real-world feature engineering and machine learning pipelines ready to be deployed to production

Key Features
* Craft powerful features from tabular, transactional, and time-series data
* Develop efficient and reproducible real-world feature engineering pipelines
* Optimize data transformation and save valuable time
Book Description
Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient. This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries. You'll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data. The book explores feature extraction from complex data types such as dates, times, and text. You'll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series. By the end, you'll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.
Who is this book for?
If you're a machine learning or data science enthusiast who wants to learn more about feature engineering, data preprocessing, and how to optimize these tasks, this book is for you. If you already know the basics of feature engineering and are looking to learn more advanced methods to craft powerful features, this book will help you. You should have basic knowledge of Python programming and machine learning to get started.
What you will learn
* Discover multiple methods to impute missing data effectively
* Encode categorical variables while tackling high cardinality
* Find out how to properly transform, discretize, and scale your variables
* Automate feature extraction from date and time data
* Combine variables strategically to create new and powerful features
* Extract features from transactional data and time series
* Learn methods to extract meaningful features from text data

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Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python by Jason Strimpel
English | August 16th, 2024 | ISBN: 1835084702 | 412 pages | True PDF | 9.84 MB
Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment

Key Features
* Follow practical Python recipes to acquire, visualize, and store market data for market research
* Design, backtest, and evaluate the performance of trading strategies using professional techniques
* Deploy trading strategies built in Python to a live trading environment with API connectivity
Book Description
Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management.
This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading. Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You'll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you've learned, you'll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.
By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.
Who is this book for?
Python for Algorithmic Trading Cookbook equips traders, investors, and Python developers with code to design, backtest, and deploy algorithmic trading strategies. You should have experience investing in the stock market, knowledge of Python data structures, and a basic understanding of using Python libraries like pandas. This book is also ideal for individuals with Python experience who are already active in the market or are aspiring to be.
What you will learn
* Acquire and process freely available market data with the OpenBB Platform
* Build a research environment and populate it with financial market data
* Use machine learning to identify alpha factors and engineer them into signals
* Use VectorBT to find strategy parameters using walk-forward optimization
* Build production-ready backtests with Zipline Reloaded and evaluate factor performance
* Set up the code framework to connect and send an order to Interactive Brokers

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