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Complexities
Sophie Germain taught herself mathematics by candlelight, huddled in her bedclothes. Ada Byron Lovelace anticipated aspects of general-purpose digital computing by more than a century. Cora Ratto de Sadosky advanced messages of tolerance and equality while sharing her mathematical talents with generations of students. This captivating book gives voice to women mathematicians from the late eighteenth century through to the present day. It documents the complex nature of the conditions women around the world have faced--and continue to face--while pursuing their careers in mathematics. The stories of the three women above and those of many more appear here, each one enlightening and inspiring....
Fifty Years of Women in Mathematics
The Association for Women in Mathematics (AWM), the oldest organization in the world for women in mathematics, had its fiftieth anniversary in 2021. This collection of refereed articles, illustrated by color photographs, reflects on women in mathematics and the organization as a whole. Some articles focus on the situation for women in mathematics at various times and places, including other countries. Others describe how individuals have shaped AWM, and, in turn, how the organization has impacted individuals as well as the broader mathematical community. Some are personal stories about careers in mathematics. Fifty Years of Women in Mathematics: Reminiscences, History, and Visions for the Fu...
Statistical Implicative Analysis
Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.
Mathematical Foundations of Elasticity
Graduate-level study approaches mathematical foundations of three-dimensional elasticity using modern differential geometry and functional analysis. It presents a classical subject in a modern setting, with examples of newer mathematical contributions. 1983 edition.
Where Futures Converge
The evolution of the most innovative square mile on the planet: the endless cycles of change and reinvention that created today’s Kendall Square. Kendall Square in Cambridge, Massachusetts, has been called “the most innovative square mile on the planet.” It’s a life science hub, hosting Biogen, Moderna, Pfizer, Takeda, and others. It’s a major tech center, with Google, Microsoft, IBM, Amazon, Facebook, and Apple all occupying big chunks of pricey office space. Kendall Square also boasts a dense concentration of startups, with leading venture capital firms conveniently located nearby. And of course, MIT is just down the block. In Where Futures Converge, Robert Buderi offers the firs...
Gain-of-Function Research
On March 10-11, 2016, the National Academies of Sciences, Engineering, and Medicine held a public symposium on potential U.S. government policies for the oversight of gain-of- function (GOF) research. This was the Academies' second meeting held at the request of the U.S. government to provide a mechanism to engage the life sciences community and the broader public and solicit feedback on optimal approaches to ensure effective federal oversight of GOF research as part of a broader U.S. government deliberative process. The first symposium, held in December 2014, examined the underlying scientific and technical questions surrounding the potential risks and benefits of GOF research involving pathogens with pandemic potential. The second symposium focused on discussion of the draft recommendations regarding GOF research of a Working Group of the National Science Advisory Board for Biosecurity. This report summarizes the key issues and ideas identified during the second symposium.
Research in Computational Molecular Biology
This book constitutes the refereed proceedings of the 11th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2007, held in Oakland, CA, USA in April 2007. The 37 revised full papers address all current issues in algorithmic, theoretical, and experimental bioinformatics.
Research in Computational Molecular Biology
This volume contains the papers presented at RECOMB 2010: the 14th Annual International Conference on Research in Computational Molecular Biology held in Lisbon, Portugal, during April 25–28, 2010. The RECOMB conference series was started in 1997 by Sorin Istrail, Pavel Pevzner, and Michael Waterman. RECOMB 2010 was hosted by INESC-ID and Instituto Superior Tecnico, or- nized by a committee chaired by Arlindo Oliveira and took place at the Int- national Fair of Lisbon Meeting Centre. This year, 36 papers were accepted for presentation out of 176 submissions. The papers presented were selected by the Program Committee (PC) assisted by a number of external reviewers. Each paper was reviewed ...
Heegner Points and Rankin L-Series
Thirteen articles by leading contributors on the history of the Gross-Zagier formula and its developments.
Alternative Splicing and Cancer
This book Alternative Splicing and Cancer explores the crucial role alternative splicing, a post-transcriptional process, plays in human health and diseases, particularly cancer. Diving deep into the complexities of gene expression and protein diversity, the book illuminates how abnormal splicing contributes to aggressive tumor formation, affecting cellular functions such as proliferation, survival, and immune evasion. With a focus on understanding molecular mechanisms, this book unravels potential diagnostic and prognostic targets, opening doors for enhanced anti-cancer treatment efficacy. An indispensable resource for anyone intrigued by the interplay between gene splicing and cancer biology, it paves the way towards innovative therapeutic strategies.
