Nanodroplet Impact on Solid Platinum Surface: Spreading and Bouncing

Video of argon nanodroplet impacting onto wetting and non-wetting surface. This video was submitted as part of the Gallery of Fluid Motion 2009 which is showcase of fluid dynamics videos.Comment: 2 pages, 2 linked animations/video

Envisioning Democratic Education in Neoliberal Times: A Book Review of \u3cem\u3eRadical Schooling for Democracy: Engaging Philosophy of Education for the Public Good\u3c/em\u3e

In Radical Schooling for Democracy: Engaging Philosophy of Education for the Public Good, Neil Hooley (2017) sets out to reexamine formal education by highlighting six competing ideologies that contemporary schooling must contend with and respond to (religious, conservative, neoliberal, social-democratic, scientific, and Marxist). Under the political and economic dictates of neoliberalism, Hooley argues, the scope of learning has become narrow and constrained to the frustration and alienation of many students and teachers. Reflecting on these concerns within the many issues of education today, Hooley’s project positions philosophy of education as a meaningful tool in our globalized context. This review essay touches on Hooley’s conception of “democracy”, his engagement with “action theory”, and his critique of neoliberal ideology

Antiferromagnetism and Superconductivity in UPt_3

The short ranged antiferromagnetism recently seen in UPt_3 is proved incompatible with two dimensional (2D) order parameter models that take the antiferromagnetism as a symmetry breaking field. To adjust to the local moment direction, the order parameter twists over very long length scales as per the Imry-Ma argument. A variational solution to the Ginzburg-Landau equations is used to study the nature of the short ranged order. Although there are still two transitions, the lower one is of first order -- in contradiction to experiments. It is shown that the latent heat predicted by the 2D models at the lower transition is too large not to have been seen. A simple periodic model is numerically studied to show that the lower transition can not be a crossover either.Comment: To appear in Journal of Physics: Condensed Matter. 9 pages, 2 figure

Educating and Empowering Elders: Improving the Health of Senior Latino Diabetics through Community Collaboration

According to the American Diabetes Association (ADA), diabetes is the sixth leading cause of death among Americans.1 As of 2005, estimates indicate 20.8 million people – 7 percent of the population – afflicted by diabetes, 6.2 million of which are undiagnosed. 1 While diabetes is a growing problem for the United States as a whole, older, poverty-stricken Latinos and other minority groups have felt the encumbrance of this trend most intensely.2 In Massachusetts, the burden of diabetes among Caribbean Latinos is 11.8 percent, which is 2.5 times greater than the prevalence for the majority of the population in the state (4.7 percent).3 The age-adjusted rate for Latinos with diabetes is 36.25 per 100,000—76 percent higher than the state rate of 20.56.4 If this trend continues, the prevalence of type 2 diabetes nationwide will skyrocket, as Hispanics constitute the largest and fastest-growing minority in the United States.

Automated coding of under-studied medical concept domains: linking physical activity reports to the international classification of functioning, disability, and health

Linking clinical narratives to standardized vocabularies and coding systems is a key component of unlocking the information in medical text for analysis. However, many domains of medical concepts, such as functional outcomes and social determinants of health, lack well-developed terminologies that can support effective coding of medical text. We present a framework for developing natural language processing (NLP) technologies for automated coding of medical information in under-studied domains, and demonstrate its applicability through a case study on physical mobility function. Mobility function is a component of many health measures, from post-acute care and surgical outcomes to chronic frailty and disability, and is represented as one domain of human activity in the International Classification of Functioning, Disability, and Health (ICF). However, mobility and other types of functional activity remain under-studied in the medical informatics literature, and neither the ICF nor commonly-used medical terminologies capture functional status terminology in practice. We investigated two data-driven paradigms, classification and candidate selection, to link narrative observations of mobility status to standardized ICF codes, using a dataset of clinical narratives from physical therapy encounters. Recent advances in language modeling and word embedding were used as features for established machine learning models and a novel deep learning approach, achieving a macro-averaged F-1 score of 84% on linking mobility activity reports to ICF codes. Both classification and candidate selection approaches present distinct strengths for automated coding in under-studied domains, and we highlight that the combination of (i) a small annotated data set; (ii) expert definitions of codes of interest; and (iii) a representative text corpus is sufficient to produce high-performing automated coding systems. This research has implications for continued development of language technologies to analyze functional status information, and the ongoing growth of NLP tools for a variety of specialized applications in clinical care and research

Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings

Natural language processing techniques are being applied to increasingly diverse types of electronic health records, and can benefit from in-depth understanding of the distinguishing characteristics of medical document types. We present a method for characterizing the usage patterns of clinical concepts among different document types, in order to capture semantic differences beyond the lexical level. By training concept embeddings on clinical documents of different types and measuring the differences in their nearest neighborhood structures, we are able to measure divergences in concept usage while correcting for noise in embedding learning. Experiments on the MIMIC-III corpus demonstrate that our approach captures clinically-relevant differences in concept usage and provides an intuitive way to explore semantic characteristics of clinical document collections

A family of thermostable fungal cellulases created by structure-guided recombination

SCHEMA structure-guided recombination of 3 fungal class II cellobiohydrolases (CBH II cellulases) has yielded a collection of highly thermostable CBH II chimeras. Twenty-three of 48 genes sampled from the 6,561 possible chimeric sequences were secreted by the Saccharomyces cerevisiae heterologous host in catalytically active form. Five of these chimeras have half-lives of thermal inactivation at 63°C that are greater than the most stable parent, CBH II enzyme from the thermophilic fungus Humicola insolens, which suggests that this chimera collection contains hundreds of highly stable cellulases. Twenty-five new sequences were designed based on mathematical modeling of the thermostabilities for the first set of chimeras. Ten of these sequences were expressed in active form; all 10 retained more activity than H. insolens CBH II after incubation at 63°C. The total of 15 validated thermostable CBH II enzymes have high sequence diversity, differing from their closest natural homologs at up to 63 amino acid positions. Selected purified thermostable chimeras hydrolyzed phosphoric acid swollen cellulose at temperatures 7 to 15°C higher than the parent enzymes. These chimeras also hydrolyzed as much or more cellulose than the parent CBH II enzymes in long-time cellulose hydrolysis assays and had pH/activity profiles as broad, or broader than, the parent enzymes. Generating this group of diverse, thermostable fungal CBH II chimeras is the first step in building an inventory of stable cellulases from which optimized enzyme mixtures for biomass conversion can be formulated