The Society for Industrial and Applied Mathematics, (SIAM) was formed in 1951 in Philadelphia, Pennsylvania. Since its inception, SIAM has grown to over 12,000 members with sections in the U.K., East Asia, Bulgaria, Ireland and Argentina. The primary purpose of SIAM is the industrial application of mathematics. The motto is “Science and Industry Advance with Mathematics.” Its membership comprises engineers, scientists, technicians, mathematics and multi-disciplinary professionals.
Surges in latent infections: Mathematical analysis of viral blips
Recurrent infection is a common feature of persistent viral diseases. It includes episodes of high viral production interspersed by periods of relative quiescence. These quiescent or silent stages are hard to study with experimental ...
Mathematical models to better combat HIV
The first few hours to days following exposure to human immunodeficiency virus (HIV) can be of critical importance in determining if infection occurs in a patient. But the low numbers of viruses and infected cells at this ...
Protecting confidential data with math
Statistical databases (SDBs) are collections of data that are used to gather and analyze information from a variety of sources. The data may be derived from sales transactions, customer files, voter registrations, medical ...
Mathematically detecting bubbles before they burst
From the dotcom bust in the late nineties to the housing crash in the run-up to the 2008 crisis, financial bubbles have been a topic of major concern. Identifying bubbles is important in order to prevent collapses that can ...
Traveling waves model tumor invasion
Cell migration, which is involved in wound healing, cancer and tumor growth, and embryonic growth and development, has been a topic of interest to mathematicians and biologists for decades.
Improving radiation therapies for cancer mathematically
In a paper published in December in the SIAM Journal on Scientific Computing, authors Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, and Steve Jiang propose a method to optimize radiation therapy treatments in cancer patients.
Finding a sensible balance for natural hazard mitigation with mathematical models
Uncertainty issues are paramount in the assessment of risks posed by natural hazards and in developing strategies to alleviate their consequences.
Computational simulations can help understand and treat cardiac rhythm disorders
Computational models of the human heart can be very useful in studying not just the basic mechanisms of heart function, but also to analyze the heart in a diseased state, and come up with methods for diagnosis and therapy.
Mathematically ranking ranking methods
In a world where everything from placement in a Google search result to World Cup eligibility depends on ranking and numerical ratings of some kind, it is becoming increasingly important to analyze the algorithms and techniques ...
Toward an artificial pancreas: Math modeling and diabetes control
October 4, 2012—Diabetes mellitus is a chronic disease in which individuals exhibit high levels of sugar in the blood, either due to insufficient production of insulin—the hormone that allows glucose to be absorbed by ...