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Additional Mathematics
This textbook follows closely the latest syllabus issued by the Ministry of Education, Singapore. It emphasises the understanding of mathematical concepts using a clear and systematic approach.
Genome Chaos
Genome Chaos: Rethinking Genetics, Evolution, and Molecular Medicine transports readers from Mendelian Genetics to 4D-genomics, building a case for genes and genomes as distinct biological entities, and positing that the genome, rather than individual genes, defines system inheritance and represents a clear unit of selection for macro-evolution. In authoring this thought-provoking text, Dr. Heng invigorates fresh discussions in genome theory and helps readers reevaluate their current understanding of human genetics, evolution, and new pathways for advancing molecular and precision medicine. - Bridges basic research and clinical application and provides a foundation for re-examining the results of large-scale omics studies and advancing molecular medicine - Gathers the most pressing questions in genomic and cytogenomic research - Offers alternative explanations to timely puzzles in the field - Contains eight evidence-based chapters that discuss 4d-genomics, genes and genomes as distinct biological entities, genome chaos and macro-cellular evolution, evolutionary cytogenetics and cancer, chromosomal coding and fuzzy inheritance, and more
Additional Mathematics
This sixth edition of Additional Mathematics: Pure and Applied, has been completely revised and updated.
Putting Systems and Complexity Sciences Into Practice
This idea-packed resource takes systems and complexity sciences out of blue-sky territory and into the concrete world of contemporary healthcare practice. Beginning with a new reframing of health and illness, its chapters redesign traditional disease-centered models of care into modern, health-centered—and patient-centered—health service systems. The approaches shown here combine innovation and common sense to recognize and attend to patients’ needs across areas including health education and training, information accessibility, health service organization and delivery, and disease in individual context. The variety of solutions applied to this wide spectrum of issues shows the suitabi...
Debating Cancer
"Cancer research is at a crossroads. Traditionally, cancer has been thought of as a disease of gene mutation, where the stepwise accumulation of cancer gene mutations is the key, and the identification of common gene mutations has been considered to be essential for diagnosis and treatment. Despite extensive research efforts and accumulated knowledge on cancer genes and pathways, the clinical benefits of this traditional approach have been limited. Recently, cancer genome sequencing has revealed an extensive amount of genetic heterogeneity where the long-expected common mutation drivers have been difficult, if not impossible, to identify. These realities ultimately challenge the conceptual framework of current cancer biology. This book introduces a new concept of genome theory of cancer evolution, in an attempt to unify the field. Many important and representative, but often confusing, questions and paradoxes are critically analyzed. By comparing gene- and genome-based theories, the hidden flaws of many popular viewpoints are addressed. This discussion is intended to initiate a much-needed critical re-evaluation of current cancer research."--
Sketches of China
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...
Microbial Technology for Health and Environment
Rampant industrialization has caused high levels of contamination by various toxic chemicals in our water bodies, which is a matter of concern in terms of ecosystems, as well as human and animal health. Polluted wastewater can contaminate drinking water and is also is a causal factor for bio-magnification of heavy metals into our food cycle. In the last decade, several methodologies have been adopted to clean the wastewaters, and among these, microbial remediation has emerged as an effective technology. Several variants of microbial technologies have been developed for wastewater treatment and biodegradation specific to the industry, type of waste and toxicity of the chemicals. This book des...
Intratumor Diversity and Clonal Evolution in Cancer
This specialized volume of Advances in Cancer Research is dedicated to the complex and largely unexplored field of intratumor diversity, with respect to differences in both genotype and phenotype among cell populations within tumors. - Unique subject matter: there are relatively few previous publications covering this complex topic, even though it has been a matter of much speculation ever since cancers were first studied under the microscope more than a century ago. This volume is an attempt to update the reader on novel findings as well as giving a historical perspective to the field. It thereby offers an excellent starting point for young scientists entering this field of research - Contributors: many of the contributors are renowned cancer researchers with long-term experience. To bring in new ideas to the field, these experienced authors have been blended with young bright minds who might provide novel starting points for solving old problems - Technical aspects: some chapters will be focused on specific techniques to address intratumor diversity and will therefore be helpful for colleagues wanting to broaden their technical expertise
Modeling and Dynamics of Infectious Diseases
This book provides a systematic introduction to the fundamental methods and techniques and the frontiers of OCo along with many new ideas and results on OCo infectious disease modeling, parameter estimation and transmission dynamics. It provides complementary approaches, from deterministic to statistical to network modeling; and it seeks viewpoints of the same issues from different angles, from mathematical modeling to statistical analysis to computer simulations and finally to concrete applications.
