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1. |
Record Nr. |
UNINA9910874682603321 |
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Titolo |
Breast Cancer Pathophysiology: An Interdisciplinary Approach / / edited by Nima Rezaei |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (330 pages) |
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Collana |
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Interdisciplinary Cancer Research, , 2731-457X ; ; 5 |
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Disciplina |
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Soggetti |
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Cancer |
Cancer - Treatment |
Cancer - Animal models |
Stem cells |
Medical screening |
Artificial intelligence |
Cancer Biology |
Cancer Therapy |
Cancer Models |
Cancer Stem Cells |
Cancer Screening |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Interdisciplinary Approach in Breast Cancer -- Circulating Tumor Cells in Breast Cancer -- Breast Cancer Cells Extravasation Across the Blood-Brain Barrier: From Basic to Translational Research -- Turn in Breast Cancer Care: Upregulation of Estrogen Signal May Be Much More Effective than Its Inhibition -- Role of Membrane Estrogen Receptor (GPER1) on the Function of Immune Cells and Its Consequences on Breast Cancer Pathophysiology -- The Effect of Dietary n-3 Polyunsaturated Fatty Acids on Non-obese and Obesity-Associated Breast Cancer -- The Role of Soy and Its Isoflavones in Breast Cancer: Beneficial or Harmful? -- Mammographic Breast Density and Utility in Breast Cancer Screening and Clinical Decision-Making -- Advanced 3D |
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In Vitro Models to Recapitulate the Breast Tumor Microenvironment -- Breast Cancer Metastasis to Bone: Look into the Future -- Breast Cancer: The Fight for Survival Is Won: What Is the Evidence for Preserving Fertility? -- Breast Cancer and Pregnancy: Challenges for Maternal and Newborn Successful Outcomes -- Computer-Aided Approach for BI-RADS Breast Density Classification: Multicentric Retrospective Study -- Correction to: Mammographic Breast Density and Utility in Breast Cancer Screening and Clinical Decision-Making. |
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Sommario/riassunto |
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Breast cancer is one of the most prevalent malignancies worldwide, particularly in females, with a high rate of cancer-related deaths globally. Increasing age, obesity, harmful use of alcohol, family history of breast cancer, starting age of menstrual periods, and tobacco use are some of the risk factors for breast cancer. The fifth volume of the “Interdisciplinary Cancer Research” series, entitled “Breast Cancer Pathophysiology: An Interdisciplinary Approach” publishes comprehensive volumes on the mechanisms of breast cancer, early detection, assessment, and patient outcome. The role of defective estrogen signals, membrane estrogen receptor, and dietary polyunsaturated fatty acids in breast cancer are also presented in this volume. This interdisciplinary series is of special value to researchers working on cell biology, immunology, biochemistry, genetics, and practitioners working on oncology. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value to researchers, oncologists, and oncosurgeons who wish to extend their knowledge on breast cancer. |
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2. |
Record Nr. |
UNINA9910483915103321 |
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Autore |
Clason Christian |
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Titolo |
Introduction to Functional Analysis / / by Christian Clason |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (X, 170 p. 1 illus.) |
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Collana |
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Compact Textbooks in Mathematics, , 2296-455X |
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Disciplina |
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Soggetti |
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Functional analysis |
Functional Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Topological basics -- Linear operators between normed spaces -- Dual spaces and weak convergence -- Compact operators between Banach spaces -- Hilbert spaces. |
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Sommario/riassunto |
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Functional analysis has become one of the essential foundations of modern applied mathematics in the last decades, from the theory and numerical solution of differential equations, from optimization and probability theory to medical imaging and mathematical image processing. This textbook offers a compact introduction to the theory and is designed to be used during one semester, fitting exactly 26 lectures of 90 minutes each. It ranges from the topological fundamentals recalled from basic lectures on real analysis to spectral theory in Hilbert spaces. Special attention is given to the central results on dual spaces and weak convergence. |
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