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Books on the topic 'Progressive data analysis'
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1
Desimone, Leslie A. Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction. Marlborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
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Desimone, Leslie A. Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction. Marlborough, Mass: U.S. Dept. of the Interior, U.S. Geological Survey, 1999.
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Meier, Benjamin Mason, Ryan Cronk, Jeanne Luh, Jamie Bartram, and Catarina de Albuquerque. Monitoring the Progressive Realization of the Human Rights to Water and Sanitation. Edited by Ken Conca and Erika Weinthal. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199335084.013.21.
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The human rights to water and sanitation have developed dramatically under international human rights law over the past forty years, with international political declarations leading to specific state obligations. Yet despite this evolution of human rights under international law, there are few mechanisms to monitor the progressive realization of those rights in national practice. The Water, Sanitation, and Hygiene (WaSH) Performance Index employs frontier analysis to monitor human rights to water and sanitation, across countries and over time. Tracking rates of change in water and sanitation coverage, the WaSH Performance Index allows for measurements of the progressive realization of human rights, publishing quantitative indicators reflective of the human rights to water and sanitation. Such external monitoring of outcome measures, correlating national implementation efforts with water and sanitation coverage data, provides a basis for future research and advocacy to facilitate rights-based accountability for water and sanitation policy.
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Glanville, Peter John. Symmetry. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198792734.003.0005.
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Chapter 5 determines the semantic typology of patterns III and VI, sometimes termed the vowel-lengthening patterns. It asserts that verbs formed in these patterns are symmetrical predicates, denoting relations consisting of two complementary forces. It shows that the difference between the two patterns results from the interplay between an underlying symmetric relation and a figure–ground orientation in which one of the participant roles involved is made more prominent than the other. The chapter divides verbs formed in pattern III into verbs of resistance, risk, competition, interaction, and co-action, and those formed in pattern VI into reciprocal verbs, feigning verbs, chaining verbs, and verbs of progressive change. It argues that an account based on a common symmetric structure is able to unite this diverse range of verbs within one analysis, and it offers data from other languages to support this claim.
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Anderson, C. W. The Idea of Data, Documents, and Evidence in Early-Twentieth-Century Journalism. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190492335.003.0002.
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This chapter chronicles the manner by which data and documents were incorporated into journalism in the early twentieth century, examining the intersection between social movements, progressive politics, public relations, and journalism. It analyzes the MRFM, a religious movement that used the accumulation of empirical data about urban conditions as both a mobilizing and public relations tool in order to advance social causes.
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Brace, Paul. Aggregating Survey Data to Estimate Subnational Public Opinion. Edited by Lonna Rae Atkeson and R. Michael Alvarez. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190213299.013.15.
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Public opinion’s role in shaping governmental actions is a central concern of democracy, yet the absence of systematic state-level survey data has inhibited analyses of public opinion at the subnational level. This essay traces the evolution of studies of public opinion at that level, first reviewing studies using surrogates derived from demographic variables. It next considers methodologies that develop state-level opinion from aggregated national samples. Finally, it discusses recent efforts to develop state-level opinion measures using post-sample stratification integrating limited survey data with demographic variables. There is evidence of significant cross-sectional and temporal variation in public opinion and policy across and within the states. Research on subnational public opinion once hinged on assumptions about opinion surrogates, but is now based on abundant and progressively rigorous opinion data. These studies reveal that public opinion plays an enormous role in subnational politics, with effects varying across issues, contexts, and conditions.
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Hughes, Jeremy. Proteinuria as a direct cause of progression. Edited by David J. Goldsmith. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0137.
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Proximal tubular cells reabsorb any filtered proteins during health via cell surface receptors such as megalin and cubulin so that very low levels of protein are present in the excreted urine. Significant proteinuria is a common finding in patients with many renal diseases. Proteinuria is a marker of glomerular damage and podocyte loss and injury in particular. The degree of proteinuria at presentation or during the course of the disease correlates with long-term outcome in many renal diseases. Proteinuria per se may be nephrotoxic and thus directly relevant to the progression of renal disease rather than simply acting as a marker of the severity of glomerular injury and podocytes loss. Seminal studies used the atypical renal anatomy of the axolotl to instill proteins directly into the tubular lumen without requiring passage through the glomerulus. This indicated that tubular protein could be cytotoxic and induce interstitial inflammation and fibrosis in the peritubular region. Cell culture studies demonstrate that exposure to proteins results in proximal tubular cell activation and the production of pro-inflammatory and pro-fibrotic mediators. Proximal tubular cell death occurred in some studies reinforcing the potential of protein to exert cytotoxic effects via oxidative stress or endoplasmic reticulum stress. Analysis of renal biopsy material from both experimental studies using models of proteinuric disease or patients with various proteinuric diseases provided evidence of activation of transcription factors and production of chemokines and pro-inflammatory mediators by proximal tubular cells. These data strongly suggest that although proteinuria is the result of glomerular disease it also represents an important cause of progression in patients with chronic kidney disease associated with proteinuria.
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Touchon, Justin C. Applied Statistics with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869979.001.0001.
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Whether at the undergraduate, graduate, or post-graduate level, Applied Statistics with R: A Practical Guide for the Life Sciences teaches readers to properly analyze data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner. Readers will come away with the knowledge of which analyses they should use and when they should use them, an important skill in an age when the statistical analyses used in the life-sciences are becoming increasingly advanced. This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the ‘go-to’ stats program throughout the life-sciences. Written around a single real-world dataset, Applied Statistics with R which encourages readers to become deeply familiar with an imperfect but realistic set of data, much like they themselves might collect. Early chapters are designed to teach basic data manipulation skills and build good habits in preparation for learning more advanced analyses. This approach also demonstrates the importance of viewing data through different lenses, facilitating an easy and natural progression from linear and generalized linear models through to mixed effects versions of those same analyses. Readers will also learn advanced plotting and data-wrangling techniques, and gain an introduction to writing their own functions. Applied Statistics with R is suitable for senior undergraduate and graduate students, professional researchers, and practitioners throughout the life-sciences, whether in the fields of ecology, evolution, environmental studies, or computational biology.
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Fox, Alistair. A Gay Boy Comes to Terms with his Sexuality: 50 Ways of Saying Fabulous (Stewart Main, 2005). Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474429443.003.0014.
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This chapter discusses Stewart Main’s 50 Ways of Saying Fabulous as the first, and to date only, New Zealand fiction feature made for theatrical release that deals with the adolescent experience of a boy who comes to understand that he is gay. Comparing the film with the source novel by Graeme Aitken, the analysis focuses on the gender inversions of the two main characters, the boy protagonist Billy, and his girl cousin Lou, each of who adopt fantasy identities as a character of the opposite sex in the TV show Lost in Space. The discussion also foregrounds both the romanticizing of the hypermasculine stereotype in the film, and also its progressive deconstruction.
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Strand, Vibeke, Jeremy Sokolove, and Alvina D. Chu. Design of clinical trials in rheumatology. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0030.
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Development of new therapies for rheumatic diseases requires a series of randomized controlled trials (RCTs) progressing from phase 1, 'first-in-human' to generate initial safety, pharmacokinetic (PK) and pharmacodynamic (PD) data; to phase 2, proof of concept for efficacy with safety and PK/PD data; and phase 3, designed to demonstrate definitive efficacy and safety to support regulatory approval. Important aspects of RCT designs include sample size estimations, treatment allocation, rescue, blinding, and statistical analyses of prespecified endpoints to preserve trial integrity. Over the past 15 years, significant progress has been made in the design of RCTs in rheumatoid arthritis (RA). Similarly, development and validation of composite outcome measures in psoriatic arthritis, ankylosing spondylitis, gout, and osteoarthritis have furthered trial design and treatment approvals. RCTs in systemic lupus erythematosus and other multisystem, heterogeneous diseases pose more challenges. Trial design will continue to evolve as promising therapies are introduced into the clinic.
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Strand, Vibeke, Jeremy Sokolove, and Alvina D. Chu. Design of clinical trials in rheumatology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0030_update_001.
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Development of new therapies for rheumatic diseases requires a series of randomized controlled trials (RCTs) progressing from phase 1, ’first-in-human’ to generate initial safety, pharmacokinetic (PK) and pharmacodynamic (PD) data; to phase 2, proof of concept for efficacy with safety and PK/PD data; and phase 3, designed to demonstrate definitive efficacy and safety to support regulatory approval. Important aspects of RCT designs include sample size estimations, treatment allocation, rescue, blinding, and statistical analyses of prespecified endpoints to preserve trial integrity. Over the past 15 years, significant progress has been made in the design of RCTs in rheumatoid arthritis (RA). Similarly, development and validation of composite outcome measures in psoriatic arthritis, ankylosing spondylitis, gout, and osteoarthritis have furthered trial design and treatment approvals. RCTs in systemic lupus erythematosus and other multisystem, heterogeneous diseases pose more challenges. Trial design will continue to evolve as promising therapies are introduced into the clinic.
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Strand, Vibeke, Jeremy Sokolove, and Alvina D. Chu. Design of clinical trials in rheumatology. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199642489.003.0030_update_002.
Full textAbstract:
Development of new therapies for rheumatic diseases requires a series of randomized controlled trials (RCTs) progressing from phase 1, ’first-in-human’ to generate initial safety, pharmacokinetic (PK) and pharmacodynamic (PD) data; to phase 2, proof of concept for efficacy with safety and PK/PD data; and phase 3, designed to demonstrate definitive efficacy and safety to support regulatory approval. Important aspects of RCT designs include sample size estimations, treatment allocation, rescue, blinding, and statistical analyses of prespecified endpoints to preserve trial integrity. Over the past 15 years, significant progress has been made in the design of RCTs in rheumatoid arthritis (RA). Similarly, development and validation of composite outcome measures in psoriatic arthritis, ankylosing spondylitis, gout, and osteoarthritis have furthered trial design and treatment approvals. RCTs in systemic lupus erythematosus and other multisystem, heterogeneous diseases pose more challenges. Trial design will continue to evolve as promising therapies are introduced into the clinic.
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Immergut, Ellen M., Karen M. Anderson, Camilla Devitt, and Tamara Popic, eds. Health Politics in Europe. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198860525.001.0001.
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Health Politics in Europe: A Handbook is a work of reference that provides historical background and up-to-date information and analysis on health politics and health systems throughout Europe. In particular, it captures developments that have taken place since the end of the Cold War, a turning point for many European health systems, with most post-communist transition countries privatizing their state-run health systems, and many Western European health systems experimenting with new public management and other market-oriented health reforms. Following three introductory, stage-setting chapters, the handbook offers country cases divided into seven regional sections, each of which begins with a short regional outlook chapter that highlights the region’s common characteristics and divergent paths taken by the separate countries, including comparative data on health system financing, healthcare access, and the political salience of health. Each regional section contains at least one detailed main case, followed by shorter treatments of the other countries in the region. Country chapters comprise an historical overview focusing on the country’s progression through a series of political regimes and the consequences of this history for the health system; an overview of the institutions and functioning of the contemporary health system; and a political narrative tracing the politics of health policy since 1989. This political narrative, the core of each country case, examines key health reforms in order to understand the political motivations and dynamics behind them and their impact on public opinion and political legitimacy. The handbook’s systematic structure makes it useful for country-specific, cross-national, and topical research and analysis.
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d'Hubert, Thibaut. Ālāol’s Poetry and Mrauk U’s Political Turmoil. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190860332.003.0005.
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The political crisis of 1661 that was triggered by the arrival in Arakan of Mughal Prince Shāh Shujāʿ (d. 1661), who was fleeing from his brother Awrangzeb’s (r. 1658–1707) army, marks the beginning of major shifts in Ālāol’s literary activities. In this chapter, I follow the thread of Ālāol’s poems’ stylistic evolutions during the decade spanning from 1661 to 1671—the date of the composition of Sikāndarnāmā, Ālāol’s last work. This period is characterized by the progressive degradation of the relationships between the Bengali Muslim elites and the Buddhist Arakanese ruler that deeply modified the configuration of the literary gatherings in Mrauk U, as well as the aspirations of their members. In my analysis I trace how these changes affected the poet’s recourse to the romance and epic genres, as well as lyric poetry.
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Wilson, Mark. Believers in The Land of Glory. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803478.003.0006.
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We employ words like “cause” both to structure an investigative architecture and to register concrete physical data in light of that strategic background. As a result, “cause”’s referential significance becomes very complicated as the word progressively enters fresh patches of application. Jim Woodward’s studies have demonstrated the central role that considerations of manipulative control play in mapping out the contours of these strategic specializations. In contrast, analytic metaphysicians have attempted to carve out an a priori pre-science of causal necessity that falters through ignoring these developmental considerations. All in all, this essay presents a critique of necessitarian thinking not unlike that offered by Quine in his well-known “Two Dogmas of Empiricism.”
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SINGH, Dr ANIMESH, Dr BHAWNA CHOUDHARY, and Dr MANISHA GUPTA. TRANSFORMING BUSINESS THROUGH DIGITALIZATION. KAAV PUBLICATIONS, DELHI, INDIA, 2021. http://dx.doi.org/10.52458/9789391842390.2021.eb.
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The theme of this book “Transforming Business through Digitization‖ was chosen due to its relevance in the contemporary globalized world. The world is witnessing the pace of change of digitalization like never before the similar trend will be seen in future too. With integration of value chains and supply chains becoming a global imperative, the contribution of IT enabled services and digitalization has had great impact on Tran‘s nationalisation of businesses. The responsiveness in the value chains and in the larger supply chains will be the key to increasing the market share in future. The application of Artificial Intelligence has helped the stakeholders in value chains and supply chains in making informed & quick decisions. This has been made possible due to integrated and well organized businesses linkages leading to better storage, access and management of data. The increase digitalization and ability to track and capture data at different nodes in the value chain and supply chain will help the marketers understand the impact of various variables on the sales performance of various brands. The marketers have to work of ways to convince the stakeholders about the privacy of the data. In future there is a possibility of mixing compete data privacy with fluid artificial intelligence across the supply chain making business processes easier using the technology of block chains. The most important contribution of the digitalization in the supply chain may be seen in the area of sustainability and green initiatives. The may be made possible by the way of assessing the levels of reduction in exploitative and polluting systems and processes and making progressive modifications in those systems and processes. The book- ―transforming business through digitization‖ is an attempt to record Innovative and novel manuscripts, research-based articles, case studies, conceptual outcome-oriented business models, and practices from the innovative minds of researchers and academicians. The book encompasses twenty-four chapters with research-based perspectives in the area of e-commerce, digital governance, digital transaction platforms, business analytics, and digitalization in agriculture, digital marketing, block chain, nuero marketing, search engine marketing, UPIs, Search Engine Marketing, Digi-preneurship, and digital finance. The book can be read as a compendium of readings of digitization of business and industry.
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Sangeetha, V., and S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.
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Artificial Intelligence (AI) has emerged as a defining force in the current era, shaping the contours of technology and deeply permeating our everyday lives. From autonomous vehicles to predictive analytics and personalized recommendations, AI continues to revolutionize various facets of human existence, progressively becoming the invisible hand guiding our decisions. Simultaneously, its growing influence necessitates the need for a nuanced understanding of AI, thereby providing the impetus for this book, “Introduction to Artificial Intelligence and Neural Networks.” This book aims to equip its readers with a comprehensive understanding of AI and its subsets, machine learning and deep learning, with a particular emphasis on neural networks. It is designed for novices venturing into the field, as well as experienced learners who desire to solidify their knowledge base or delve deeper into advanced topics. In Chapter 1, we provide a thorough introduction to the world of AI, exploring its definition, historical trajectory, and categories. We delve into the applications of AI, and underscore the ethical implications associated with its proliferation. Chapter 2 introduces machine learning, elucidating its types and basic algorithms. We examine the practical applications of machine learning and delve into challenges such as overfitting, underfitting, and model validation. Deep learning and neural networks, an integral part of AI, form the crux of Chapter 3. We provide a lucid introduction to deep learning, describe the structure of neural networks, and explore forward and backward propagation. This chapter also delves into the specifics of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). In Chapter 4, we outline the steps to train neural networks, including data preprocessing, cost functions, gradient descent, and various optimizers. We also delve into regularization techniques and methods for evaluating a neural network model. Chapter 5 focuses on specialized topics in neural networks such as autoencoders, Generative Adversarial Networks (GANs), Long Short-Term Memory Networks (LSTMs), and Neural Architecture Search (NAS). In Chapter 6, we illustrate the practical applications of neural networks, examining their role in computer vision, natural language processing, predictive analytics, autonomous vehicles, and the healthcare industry. Chapter 7 gazes into the future of AI and neural networks. It discusses the current challenges in these fields, emerging trends, and future ethical considerations. It also examines the potential impacts of AI and neural networks on society. Finally, Chapter 8 concludes the book with a recap of key learnings, implications for readers, and resources for further study. This book aims not only to provide a robust theoretical foundation but also to kindle a sense of curiosity and excitement about the endless possibilities AI and neural networks offer. The journ