Insulin Resistance and Polycystic Ovarian Syndrome : Pathogenesis, Evaluation, and Treatment
This book highlights the recent transition of PCOS from an infertility disorder with a diagnosis based on ovarian tissue histology to a more complex clinical entity, a metabolic disorder in which insulin resistance plays a central role. With an expert panel of authors, each chapter provides an up-to-date and balanced overview of PCOS, paying special attention to the central role of insulin resistance in the syndrome’s pathogenesis and in the management of its reproductive and metabolic abnormalities.
Insulin resistance
Insulin is a peptide hormone secreted by the B cells of the pancreatic islets of Langerhans and maintains normal blood glucose levels by facilitating cellular glucose uptake, regulating carbohydrate, lipid and protein metabolism and promoting cell division and growth through its mutagenic effects.
Insulating Modernism : Isolated and Non-Isolated Thermodynamics in Architecture
What is the best way to achieve sustainable energy savings in buildings? This book describes the history, theory and facts of the mainstream insulation technology and the emerging alternative design approaches.
Instrumaster
Experiments with different neural network structures and algorithms in order to achieve musical note recognition as well as musical instrument recognition, all bundled in a mobile application. It also aims to create the most effective music-learning application that works completely offline, which is hard to find in modern music applications. The paper also explores why the instrument identifying AI is solely based on Multi-Layer Perceptron (MLP) and why the note-identifying AI system was chosen to be a ML system over CNN or other deep-learning trained AI. The paper presents feature extraction methods for audio signals and files and dives deep into the process, such as FFT, MFCCs, Wavelengths, sampling rates, etc. It also touches on Logistic Regression Algorithms, their limitations, and their performance with the different use cases in the application. All these techniques are then compared side by side for maximally added value, making this research paper a good reference for any future developers looking to find optimal neural networks techniques when it comes to audio processing and analysis.
Instructional Scaffolding in STEM Education : Strategies and Efficacy Evidence
This book uses meta-analysis to synthesize research on scaffolding and scaffolding-related interventions in STEM (science, technology, engineering, and mathematics) education. Specifically, the volume examines the extent to which study quality, assessment type, and scaffolding characteristics (strategy, intended outcome, fading schedule, scaffolding intervention, and paired intervention) influence cognitive student outcomes. It includes detailed descriptions of the theoretical foundations of scaffolding, scaffolding strategies that have been proposed to meet different intended learning outcomes in STEM, and associated efficacy information. Furthermore, the book describes assessment strategies and study designs which can be used to evaluate the influence of scaffolding, and suggests new fields in which scaffolding strategies that have proven efficacious may be used.
Institutions, Sustainability, and Natural Resources : Institutions for Sustainable Forest Management
A new economic theory, rather than a new public policy based on old theory, is needed to guide humanity toward sustainability. Institutions are a critical dimension of sustainability and sustainable forest management, and economic analysis of institutional dimension requires an inclusionist rather than an exclusionist approach. This book provides a systematic critique of neoclassical economic approaches and their limitations with respect to sustainability. Leading institutional economists discuss theoretical perspectives about appropriate institutions for sustainable forest management, markets for environmental services, deforestation and specialization, and some country experiences about Kyoto Protocol, international trade, biodiversity conservation, and sustainable forest management in general. The book includes the ideas from old as well as new institutional economics and discusses the main features of Post-Newtonian economics.This book follows a companion book, Economics, Sustainability, and Natural Resources: Economics of Sustainable Forest Management, volume 1 of the series.
Institutions, Equilibria and Efficiency: Essays in Honor of Birgit Grodal
Competition and efficiency is at the core of economic theory. This volume collects papers of leading scholars, which extend the conventional general equilibrium model in important ways: Efficiency and price regulation are studied when markets are incomplete and existence of equilibria in such settings is proven under very general preference assumptions. The model is extended to include geographical location choice, a commodity space incorporating manufacturing imprecision and preferences for club-membership, schools and firms.
Institution-independent Model Theory
A model theory that is independent of any concrete logical system allows a general handling of a large variety of logics. This generality can be achieved by applying the theory of institutions that provides a precise mathematical formulation for the intuitive concept of a logical system. Especially in computer science, where the development of a huge number of specification logics is observable, institution-independent model theory simplifies and sometimes even enables a concise model-theoretic analysis of the system. Besides incorporating important methods and concepts from conventional model theory, the proposed top-down methodology allows for a structurally clean understanding of model-theoretic phenomena. As a consequence, results from conventional concrete model theory can be understood more easily, and sometimes even new results are obtained.
Institutional Reform for Innovation and Entrepreneurship : An Agenda for Europe
The authors of this book advise the economies of the European Union to become more entrepreneurial in promoting innovation and economic growth. The authors propose a reform strategy with respect to several aspects to achieve this goal. Starting with the rule of law and the protection of property rights; the tax system; the authors deal with regulations governing savings, capital and finance, and the organization of labor markets and social insurance systems. Framework strategies related to the regulations governing goods and service markets, bankruptcy and insolvency are also put forward. A core understanding and future path is also provided towards R&D, commercialization and knowledge spillovers; human capital investments; and informal institutions.
Institutional Dynamics in Environmental Governance
This book presents fresh analyses of a number of well-known cases, but does so from one comprehensive view, the so-called policy arrangement approach. Cases discussed range over organic farming, integrated water management, nature policy, cultural heritage policy, integrated region-oriented policy, corporate environmental management and target group policy, always in search of the commonality of experience and conclusions to be drawn in understanding the past and in formulating future perspectives.
Institutional Context of Education Systems in Europe : A Cross-Country Comparison on Quality and Equity
In this volume, the authors take up the challenge of considering what a European ‘settlement’ might look like. In doing so, they take into account worldwide trends and the increasing evidence of convergence across educational systems. The outcomes of comparative analyses seem to suggest that strong education systems in terms of finance, governance and choice could be preferable. To a greater or lesser extent, therefore, all the systems of education currently in use in Europe face some common challenges. The way in which these challenges are addressed will determine the future of these systems.
Instability in Models Connected with Fluid Flows II
Instability in Models Connected with Fluid Flows II presents chapters from world renowned specialists. The stability of mathematical models simulating physical processes is discussed in topics on control theory, first order linear and nonlinear equations, water waves, free boundary problems, large time asymptotics of solutions, stochastic equations, Euler equations, Navier-Stokes equations, and other PDEs of fluid mechanics. Fields covered include: the free surface Euler (or water-wave) equations, the Cauchy problem for transport equations, irreducible Chapman--Enskog projections and Navier-Stokes approximations, randomly forced PDEs, stability of equilibrium figures of uniformly rotating viscous incompressible liquid, Navier-Stokes equations in cylindrical domains, Navier-Stokes-Poisson flows in a vacuum.
Instability in Models Connected with Fluid Flows I
Instability in Models Connected with Fluid Flows I presents chapters from world renowned specialists. The stability of mathematical models simulating physical processes is discussed in topics on control theory, first order linear and nonlinear equations, water waves, free boundary problems, large time asymptotics of solutions, stochastic equations, Euler equations, Navier-Stokes equations, and other PDEs of fluid mechanics. Fields covered include: controllability and accessibility properties of the Navier- Stokes and Euler systems, nonlinear dynamics of particle-like wavepackets, attractors of nonautonomous Navier-Stokes systems, large amplitude monophase nonlinear geometric optics, existence results for 3D Navier-Stokes equations and smoothness results for 2D Boussinesq equations, instability of incompressible Euler equations, increased stability in the Cauchy problem for elliptic equations.
Insomimia
Highlights the significant prevalence of insomnia within the Syrian population and underscores the importance of non-pharmacological treatments and social support in managing the disorder. Further research is needed to develop effective interventions and improve awareness and treatment of insomnia.
Insights into the pharmaceutical and clinical applications of nanoparticles in cancer therapy
Healthcare has long been on a quest for a ‘magic bullet’ to cure the dreaded disease cancer. As this book shows, nanoparticles perfectly fit the bill with their promising characteristics. Meticulously engineered nanostructures, with a useful drug or molecule, target a specific cancer in unique ways. However, as with many targeted systems, the effectiveness of the system needs to be weighed against the adverse effects. The toxicity of nanoparticles has been a worldwide concern, and evidence-based medicine analyses nanostructures for proof of safety and their efficacy in killing cancer cells. This book gives a fresh perspective on a wealth of diverse nanotechnological advances for various cancers.
Insights into Receptor Function and New Drug Development Targets
G-Protein Coupled receptors (GPCRs) and other receptors are significant targets for drug discovery, due to their roles in fundamental physiological processes. Among these roles are: regulation of growth, food intake, reproduction, water balance, sensory perception, blood pressure and heart rate. GPCR-directed drugs account for approximately $40 billion in sales and, of drugs at market, approximately 70% target GPCR function. The availability of combinatorial chemistry coupled with high throughput screening techniques have facilitated discovery of peptidic and non-peptidic ligands of membrane receptors. Mutant receptor models have revealed their role in health and disease and provided insight to new therapeutic approaches, based on control of protein trafficking. Understanding receptor-receptor interactions has provided one mechanism for receptor cross-talk and revealed unexpected interactions.
Insider attack and cyber security : Beyond the hacker
This book sets an agenda for an ongoing research initiative to solve one of the most vexing problems encountered in computer security, and includes the following topics: critical IT infrastructure protection, insider threats, awareness and dealing with nefarious human activities in a manner that respects individual liberties and privacy policies of organizations while providing the best protection of critical resources and services. In some sense, the insider problem is the ultimate security problem. This volume concludes with technical and legal challenges facing researchers who study and propose solutions to mitigate insider attacks.
Inside/outside Islamic art and architecture: a cartography of boundaries in and of the field
When we walk into a gallery, we have a fairly good idea where the building begins and ends; and inside, while observing a painting, we are equally confident in distinguishing between the painting-proper and its frame and borders. Yet, things are often more complicated. A building defines an exterior space just as much as an interior, and what we perceive to be ornamental and marginal to a given painting may in fact be central to what it represents. In this volume, a simple question is presented: instead of dichotomous separations between inside and outside, or exterior and interior, what other relationships can we think of? The first book of its kind to grapple with this question, Inside/Outside Islamic Art and Architecture focuses on a wide spectrum of mediums and topics, including painted manuscripts, objects, architectural decoration, architecture and urban planning, and photography. Bringing together scholars with diverse methodologies-who work on a geographical span stretching from India to Spain and Nigeria, and across a temporal spectrum from the thirteenth to the twenty-first century-this original book also poses engaging questions about the boundaries of the field.
Inside Relational Databases with Examples in Access
Inside Relational Databases was first published in 1997 and, rather to our surprise, rapidly reached the status of a classic work in the database field. The book illustrates the relational model using the reader’s favorite product – such as Access.
Inside deep learning : Math, algorithms, models
Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems. In Inside Deep Learning, you will learn how to: Implement deep learning with PyTorch Select the right deep learning components Train and evaluate a deep learning model Fine tune deep learning models to maximize performance Understand deep learning terminology Adapt existing PyTorch code to solve new problems Inside Deep Learning is an accessible guide to implementing deep learning with the PyTorch framework. It demystifies complex deep learning concepts and teaches you to understand the vocabulary of deep learning so you can keep pace in a rapidly evolving field. No detail is skipped--you'll dive into math, theory, and practical applications. Everything is clearly explained in plain English.



















