Twenty five years after KLS: A celebration of non-equilibrium statistical mechanics

When Lenz proposed a simple model for phase transitions in magnetism, he couldn't have imagined that the "Ising model" was to become a jewel in field of equilibrium statistical mechanics. Its role spans the spectrum, from a good pedagogical example to a universality class in critical phenomena. A quarter century ago, Katz, Lebowitz and Spohn found a similar treasure. By introducing a seemingly trivial modification to the Ising lattice gas, they took it into the vast realms of non-equilibrium statistical mechanics. An abundant variety of unexpected behavior emerged and caught many of us by surprise. We present a brief review of some of the new insights garnered and some of the outstanding puzzles, as well as speculate on the model's role in the future of non-equilibrium statistical physics.Comment: 3 figures. Proceedings of 100th Statistical Mechanics Meeting, Rutgers, NJ (December, 2008

Hierarchy of Scales in Language Dynamics

Methods and insights from statistical physics are finding an increasing variety of applications where one seeks to understand the emergent properties of a complex interacting system. One such area concerns the dynamics of language at a variety of levels of description, from the behaviour of individual agents learning simple artificial languages from each other, up to changes in the structure of languages shared by large groups of speakers over historical timescales. In this Colloquium, we survey a hierarchy of scales at which language and linguistic behaviour can be described, along with the main progress in understanding that has been made at each of them − much of which has come from the statistical physics community. We argue that future developments may arise by linking the different levels of the hierarchy together in a more coherent fashion, in particular where this allows more effective use of rich empirical data sets

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Human papillomavirus genotypes in Pacific Islander cervical cancer patients

Objective: The role of human papillomavirus (HPV) in the development of invasive cervical cancers is widely known. Few HPV studies have targeted geographically isolated regions. The objective of this study was to determine the HPV genotypes in cervical cancer patients from the Pacific Islands referred to Tripler Army Medical Center (TAMC). Methods: All cases of invasive cervical cancer treated at TAMC through the Pacific Island Health Care Project between January 2004 and October 2014 were identified through a review of pathology specimens. DNA was extracted from paraffin-embedded tissue blocks. PCR was performed using PLEX-ID plates to isolate and amplify HPV-specific DNA. Mass spectrometry was subsequently performed to identify specific HPV genotypes. Results: Thirty-five patients had their pathology specimens analyzed. Ten patients had localized disease (Stage 1); 21 had regional disease (Stages 2 and 3); and 4 had distant disease (Stage 4). Thirty-three squamous cell carcinomas and 3 adenocarcinomas were identified. The most common HPV subtypes found were 16 (6, 24%), 45 (6, 24%), and 52 (6, 24%). Other HPV subtypes isolated included 18 (1, 4%), 33 (3, 12%), 39 (2, 8%), 54 (1, 4%), and 67 (1, 4%). In 10 samples, HPV was not isolated. Conclusion: Pacific Islanders referred to TAMC present with a disproportionally higher rate of regional and advanced disease. Significantly, only 28% of invasive cervical cancers in the Pacific Island population sampled could have been potentially be prevented using the available quadrivalent vaccine targeting HPV 16/18; however, 88% could be covered by the recently licensed nonavalent vaccine. Keywords: Human papillomavirus, Cervical cancer, Pacific Islander