Breast cancer is a malignant tumour that has developed from cells of the breast. A malignant tumor is a group of cancer cells that may invade surrounding tissues or spread (metastasize) to distant areas of the body. The disease occurs almost entirely in women, but men can get it as well. The main types of breast cancer are ductal carcinoma in situ, invasive ductal carcinoma, lobular carcinoma in situ, invasive lobular carcinoma, medullary carcinoma, and Paget's disease of the nipple. About 1 of 8 women will get it in her lifetime. This new book presents state-of-the-art research in this fast-moving field.
Breast cancer is a malignant tumour that has developed from cells of the breast. A malignant tumour is a group of cancer cells that may invade surrounding tissues or spread (metastasize) to distant areas of the body. The disease occurs almost entirely in women, but men can get it as well. The main types of breast cancer are ductal carcinoma in situ, invasive ductal carcinoma, lobular carcinoma in situ, invasive lobular carcinoma, medullary carcinoma, and Paget's disease of the nipple. About 1 of 8 women will get it in her lifetime. This new book presents state-of-the-art research in this fast-moving field.
Breast cancer is a malignant tumour that has developed from cells of the breast. A malignant tumour is a group of cancer cells that may invade surrounding tissues or spread (metastasize) to distant areas of the body. The disease occurs almost entirely in women, but men can get it as well. The main types of breast cancer are ductal carcinoma in situ, invasive ductal carcinoma, lobular carcinoma in situ, invasive lobular carcinoma, medullary carcinoma, and Paget's disease of the nipple. About 1 of 8 women will get it in her lifetime. This book presents state-of-the-art research in this fast-moving field.
Breast cancer is a malignant tumour that has developed from cells of the breast. A malignant tumour is a group of cancer cells that may invade surrounding tissues or spread (metastasize) to distant areas of the body. The disease occurs almost entirely in women, but men can get it as well. The main types of breast cancer are ductal carcinoma in situ, invasive ductal carcinoma, lobular carcinoma in situ, invasive lobular carcinoma, medullary carcinoma, and Paget's disease of the nipple . About 1 of 8 women will get it in her lifetime. This new book presents state-of-the-art research in this fast-moving field.
The authors distill the most relevant applications of recyclable homogeneous catalysts rather than list every example found in the field. This provides a framework to the readers, allowing them to ask the most relevant questions about recyclable homogeneous catalysis applications in their area of interest. Recyclable Homogeneous Catalysis uses physical and chemical engineering methods specifically designed for high recoverability. Some of the recovery methods include the use of multi-phasic solvent systems, distillation, and extractions. In addition, by using careful catalyst design, the active metal center can be embedded onto a solid support or polymer to increase recoverability. The catalysts discussed in this primer are used in a range of reactions such as polymerization, CO2 capture, and amination. Graduate students and early career professionals who want to get into the field of recyclable catalysts will benefit from reading this work.
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
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