Preemptive quarantine through contact-tracing effectively controls emerging infectious diseases. Occasionally this quarantine fails, however, and infected persons are released. The probability of quarantine failure is typically estimated from disease-specific data. Here a simple, exact estimate of the failure rate is derived that does not depend on disease-specific parameters. This estimate is ...

Driven by innovation, science and technology are continually evolving. Over the past several years, the global scientific community and the world have had the opportunity to see firsthand the significant strides that have been made in the area of life science research, and the corresponding ethical, safety, and security questions that arise as a result of this work. The idea that well-intended ...

In recent years, dictionaries combined with sparse learning techniques became extremely popular in computer vision. The image denoising approaches can be categorized as spatial domain, transform domain, and dictionary learning based according to the image representation. Using machine learning, sparse representations have become a trend and are used image and vision applications. The general id...

This paper surveys the contents of the special issue on Emerging Computational Methods for the Life Sciences Workshop 2012 with six contributed papers. They cover a rich variety of topics on interface of life sciences and data intensive computation which in detail are parallelization with GPU and multicore of an important tandem mass spectrometry peptide identification tool MyriMatch; enhanceme...

In 4 studies, the authors examined how intuitions about the relative difficulties of the sciences develop. In Study 1, familiar everyday phenomena in physics, chemistry, biology, psychology, and economics were pretested in adults, so as to be equally difficult to explain. When participants in kindergarten, Grades 2, 4, 6, and 8, and college were asked to rate the difficulty of understanding the...

Recent development of high throughput data acquisition technologies in a number of domains (e.g., biological sciences, atmospheric sciences, space sciences, commerce) together with advances in digital storage, computing, and communications technologies have resulted in the proliferation of a multitude of physically distributed data repositories created and maintained by autonomous entities (e.g...

Find the secret to improve the quality of life by reading this emerging issues in the electronic environment challenges for librarians and researchers in the sciences science and technology libraries. This is a kind of book that you need now. Besides, it can be your favorite book to read after having this book. Do you ask why? Well, this is a book that has different characteristic with others. ...

This paper surveys the contents of the special issue on Emerging Computational Methods for the Life Sciences Workshop with six contributed papers. They cover a rich variety of topics on interface of life sciences and computation which in detail are parallelizing two popular micro array data analysis techniques using the Simple Parallel R Interface (SPRINT); parallelization of PEMer structural v...

The study of culture and biology has long stood stratified within the social and natural sciences, a gap that physicist C.P. Snow (1959) famously called "the two cultures." Cultural neuroscience is an emerging, interdisciplinary field that examines the bidirectional influence of culture and genes to brain and behavior across multiple timescales. Integrating theory and methods from cultural psyc...

Social informatics refers to the interdisciplinary study of the design, uses and consequences of information and communication technologies (ICTs) that takes into account their interactions with institutional and cultural contexts. Social informatics research may be done at group, departmental, organizational, national and/or societal levels of analysis, focused on the relationships among infor...