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[null,"1.","Record Nr.",null,"UNINA9910460566603321"]
[null,null,"Autore",null,"Steptoe Tyina L. <1975->"]
[null,null,"Titolo",null,"Houston bound : culture and color in a Jim Crow city / / Tyina L. Steptoe"]
[null,null,"Pubbl/distr/stampa",null,"Oakland, California : , : University of California Press, , 2016"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"0-520-95853-5"]
[null,null,"Descrizione fisica",null,"1 online resource (341 p.)"]
[null,null,"Collana",null,"American Crossroads ; ; 41"]
[null,null,"Disciplina",null,"305.8009764/2350904"]
[null,null,"Soggetti",null,"Minorities - Texas - Houston - Social conditions - 20th century"]
[{"$nulls":4},"Music - Social aspects - Texas - Houston - History - 20th century"]
[{"$nulls":4},"Electronic books."]
[{"$nulls":4},"Houston (Tex.) Emigration and immigration History 20th century"]
[{"$nulls":4},"Houston (Tex.) Ethnic relations History 20th century"]
[{"$nulls":4},"Houston (Tex.) History 20th century"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front matter -- Contents -- List of Illustrations -- Introduction: When Worlds Collide -- Part one -- Part two -- Part three -- Acknowledgments -- Notes -- Bibliography -- Index"]
[null,null,null,"Sommario/riassunto","Beginning after World War I, Houston was transformed from a black-and-white frontier town into one of the most ethnically and racially diverse urban areas in the United States. Houston Bound draws on social and cultural history to show how, despite Anglo attempts to fix racial categories through Jim Crow laws, converging migrations-particularly those of Mexicans and Creoles-complicated ideas of blackness and whiteness and introduced different understandings about race. This migration history also uses music and sound to examine these racial complexities, tracing the emergence of Houston's blues and jazz scenes in the 1920's as well as the hybrid forms of these genres that arose when migrants forged shared social space and carved out new communities and politics. This interdisciplinary book provides both an innovative historiography about migration and immigration in the twentieth century and a critical examination of a city located in the former Confederacy."]
[null,"2.","Record Nr.",null,"UNINA9910786165403321"]
[null,null,"Autore",null,"Williamson Kirsty"]
[null,null,"Titolo",null,"Research methods for students, academics and professionals : information management and systems / / Kirsty Williamson with Amanda Bow [and ten others]"]
[null,null,"Pubbl/distr/stampa",null,"Wagga Wagga, New South Wales : , : Centre for Information Studies, , 2002"]
[{"$nulls":4},"©2002"]
[null,null,"ISBN",null,"1-78063-420-X"]
[null,null,"Edizione",null,"[Second edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (373 p.)"]
[null,null,"Collana",null,"Topics in Australasian Library and Information Studies, , 1030-5009 ; ; Number 20"]
[null,null,"Disciplina",null,"020.72"]
[null,null,"Soggetti",null,"Library science - Research - Methodology"]
[{"$nulls":4},"Information science - Research - Methodology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Front Cover; Research Methods for Students, Academics and Professionals: Information Management and Systems; Copyright Page; Table of Contents; List of figures, tables and boxes; Acknowledgments; Introduction; Research and professional practice; A multi-disciplinary approach; How to use this book; What the book does not cover; Warranty statement; References for Introduction; Section 1: Introduction to research methods; Introduction; CHAPTER 1. Introduction to research in relation to professional practice; Objectives; Introduction; What is research?"]
[{"$nulls":4},"The major elements of a research project or proposalThe role which research can and should play in professional practice; Conclusion; Discussion questions; Further readings; References for Chapter 1; CHAPTER 2. The two major traditions of research; Objectives; Introduction: The two major traditions of research; Reasoning styles; Positivism and post-positivism; Interpretivism; Combining quantitative and qualitative methods; Summary of research approaches; Examples of quantitative and qualitative research in professional practice; Discussion questions; Further readings; References for Chapter 2"]
[{"$nulls":4},"CHAPTER 3. The beginning stages of researchObjectives; Research problems and research questions; Hypotheses: Their role in research and their formulation; Theory: Its role in research and its development; "]
[{"$nulls":4},"The literature review; Conclusion; Discussion questions; Further readings; References for Chapter 3; CHAPTER 4. Ethics in research; Objectives; The practice of ethics in research; Social ideals and research; Principles and ethical codes; Ethics committees; Power and influence; Publishing research; Hypothetical dilemmas: links between practice, ethics and research; Conclusion"]
[{"$nulls":4},"Further readingsReferences for Chapter 4; Section 2: Methods; Introduction; CHAPTER 5. Survey research; Objectives; Introduction to survey research; Sampling and the ability to generalise in survey research; Descriptive (or status) surveys; Explanatory (or analytical) surveys; Telephone surveys; Electronic surveys; Conclusion; Discussion questions; Further readings; References for Chapter 5; CHAPTER 6. Case study research; Objectives; The case study as a research approach; Philosophical traditions and case study research; Designing case study research; Conducting case study research"]
[{"$nulls":4},"ConclusionDiscussion questions; Further readings; References for Chapter 6; CHAPTER 7. Experimental research designs; Objectives; Introduction; Key research concepts underpinning experimental research designs; The true experiment; Pre-experimental research designs; Quasi-experimental research designs; Conclusion; Discussion questions; Further readings; References for Chapter 7; CHAPTER 8. System development in information systems research; Objectives; Specifics of information systems research; Systems development approach; Where systems development fits into the research cycle"]
[{"$nulls":4},"Generalised research process model"]
[null,null,null,"Sommario/riassunto","Research is such an important subject for information professionals that there will always be a need for effective guides to it. Research skills are a prerequisite for those who want to work successfully in information environments, an essential set of tools which enable information workers to become information professionals. This book focuses on producing critical consumers of research. It also goes some way towards producing researchers in the fields of information management and systems.The first edition of this book was enthusiastically received by researchers, students and inform"]
[null,"3.","Record Nr.",null,"UNINA9911031631003321"]
[null,null,"Autore",null,"Nema Rajeev"]
[null,null,"Titolo",null,"Advances in Cancer Detection, Prediction, and Prognosis Using Artificial Intelligence and Machine Learning / / edited by Rajeev Nema, Ashok Kumar, Dinesh Kumar Saini"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9693-46-2"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (602 pages)"]
[null,null,"Collana",null,"Biomedical and Life Sciences Series"]
[null,null,"Disciplina",null,"576.5"]
[{"$nulls":4},"616.994"]
[null,null,"Soggetti",null,"Cancer - Genetic aspects"]
[{"$nulls":4},"Cancer"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Biomathematics"]
[{"$nulls":4},"Machine learning"]
[{"$nulls":4},"Oncology"]
[{"$nulls":4},"Cancer Genetics and Genomics"]
[{"$nulls":4},"Cancer Biology"]
[{"$nulls":4},"Mathematical and Computational Biology"]
[{"$nulls":4},"Machine Learning"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Chapter 1: Cancer Diagnosis: An overview  -- Chapter 2: Computational Methods in Oncology  -- Chapter 3: Overview of Computational Approaches for Cancer Diagnosis  -- Chapter 4: Artificial intelligence and Machine Learning in improving diagnostic accuracy  -- Chapter 5: Advances in Image Processing and Pattern Recognition  -- Chapter 6: Genomics and Bioinformatics in the discovery and validation of diagnostic biomarkers  -- Chapter 7: Computer-based wearable devices for remote patient monitoring.  -- Chapter 8: Overview of computational approaches for Cancer Prognosis  -- Chapter 9: Predictive Modeling for Cancer Prognosis  -- Chapter 10:Genomics and Transcriptomics based predictive and prognostic biomarkers  -- Chapter 11:Artificial Intelligence in Personalized Medicine and Treatment Planning  -- Chapter 12:Integrative Multi-Omics Approaches  -- Chapter 13:Challenges and Limitations of "]
[{"$nulls":4},"Computational Methods in Oncology  -- Chapter 14:Challenges in Integration of computational approaches with Clinical Practice  -- Chapter 15:Emerging Technologies in Computational Oncology  -- Chapter 16:Statement On the Effectiveness of AI And ML In Cancer Care  -- Chapter 17:Future Directions in Computational Cancer Research  -- Chapter 18:Deep learning algorithms to analyze medical images for early detection of cancer  -- Chapter 19:Ethical considerations regarding patient privacy and data security  -- Chapter 20:Call for further research and implementation of deep learning technologies in oncology for enhanced healthcare delivery."]
[null,null,null,"Sommario/riassunto","This book covers all aspects of computational biology in studying cancer diagnosis and prognosis, including newer applications involving infection and inflammation, as well as basic information on advanced simulation techniques. It describes the different tools, risk-based modeling techniques, early prediction algorithms and the biomarkers of different cancers that help in their early and better diagnosis in routine clinical practice involving multiple organs and systems. Early cancer diagnosis and artificial intelligence (AI) are rapidly evolving fields, with the UK's National Health Service aiming to improve early diagnosis rates to 75% by 2028. Screening can improve early cancer detection and mortality, but patient selection and risk stratification are key challenges. AI algorithms can facilitate cancer diagnosis by triggering investigation in screened individuals according to clinical parameters and automating clinical workflows where capacity is limited. Machine learning, which learns complex data patterns to make predictions has the potential to revolutionize early cancer diagnosis and support capacity concerns through automation. The chapters present the advances in diagnosing different types of cancer including bladder cancer, breast cancer, colorectal cancer, kidney (renal cell) cancer, lung cancer, lymphoma, pancreatic cancer, prostate cancer, skin cancer, uterine and metastatic cancers. The chapters also cover recurrent cancer, advanced cancer treatment, and the management of cancer in adolescents and young adults. The pan-cancer analyses presented in the book cover all aspects of early diagnosis, supplemented by numerous illustrations and figures to offer a fresh perspective and lucid understanding of computer-based approaches in cancer management. This book simplifies computational methods in medical diagnosis and highlights the benefits of early detection compared to other methods. It is targeted at biomedical scientists and clinical practitioners who conduct artificial intelligence-based research."]