Identifying Resiliency Performance Measures for Megaregional Planning Case Study of the Transportation Corridor Between Boston, Massachusetts, and Washington, DC

Transportation corridors in megaregions present a unique challenge for planners because of the high concentration of development, complex interjurisdictional issues, and history of independent development of core urban centers. The concept of resilience, as applied to megaregions, can be used to understand better the performance of these corridors. Resiliency is the ability to recover from or adjust easily to change. Resiliency performance measures can be expanded on for application to megaregions throughout the United States. When applied to transportation corridors in megaregions and represented by performance measures such as redundancy, continuity, connectivity, and travel time reliability, the concept of resiliency captures the spatial and temporal relationships between the attributes of a corridor, a network, and neighboring facilities over time at the regional and local levels. This paper focuses on the development of performance measurements for evaluating corridor resiliency as well as a plan for implementing analysis methods at the jurisdictional level. The transportation corridor between Boston, Massachusetts, and Washington, D.C., is used as a case study to represent the applicability of these measures to megaregions throughout the country.

A Nonstationary Negative Binomial Time Series with Time-Dependent Covariates: Enterococcus Counts in Boston Harbor

Boston Harbor has had a history of poor water quality, including contamination by enteric pathogens. We conduct a statistical analysis of data collected by the Massachusetts Water Resources Authority (MWRA) between 1996 and 2002 to evaluate the effects of court-mandated improvements in sewage treatment. Motivated by the ineffectiveness of standard Poisson mixture models and their zero-inflated counterparts, we propose a new negative binomial model for time series of Enterococcus counts in Boston Harbor, where nonstationarity and autocorrelation are modeled using a nonparametric smooth function of time in the predictor. Without further restrictions, this function is not identifiable in the presence of time-dependent covariates; consequently we use a basis orthogonal to the space spanned by the covariates and use penalized quasi-likelihood (PQL) for estimation. We conclude that Enterococcus counts were greatly reduced near the Nut Island Treatment Plant (NITP) outfalls following the transfer of wastewaters from NITP to the Deer Island Treatment Plant (DITP) and that the transfer of wastewaters from Boston Harbor to the offshore diffusers in Massachusetts Bay reduced the Enterococcus counts near the DITP outfalls.

Semiparametric Latent Variable Regression Models for Spatio-temporal Modeling of Mobile Source Particles in the Greater Boston Area

Traffic particle concentrations show considerable spatial variability within a metropolitan area. We consider latent variable semiparametric regression models for modeling the spatial and temporal variability of black carbon and elemental carbon concentrations in the greater Boston area. Measurements of these pollutants, which are markers of traffic particles, were obtained from several individual exposure studies conducted at specific household locations as well as 15 ambient monitoring sites in the city. The models allow for both flexible, nonlinear effects of covariates and for unexplained spatial and temporal variability in exposure. In addition, the different individual exposure studies recorded different surrogates of traffic particles, with some recording only outdoor concentrations of black or elemental carbon, some recording indoor concentrations of black carbon, and others recording both indoor and outdoor concentrations of black carbon. A joint model for outdoor and indoor exposure that specifies a spatially varying latent variable provides greater spatial coverage in the area of interest. We propose a penalised spline formation of the model that relates to generalised kringing of the latent traffic pollution variable and leads to a natural Bayesian Markov Chain Monte Carlo algorithm for model fitting. We propose methods that allow us to control the degress of freedom of the smoother in a Bayesian framework. Finally, we present results from an analysis that applies the model to data from summer and winter separately

Efficacy and Safety of Natalizumab in Crohn’s Disease Patients Treated at 6 Boston Academic Hospitals

BACKGROUND: Despite trials demonstrating its efficacy, many physicians harbor concerns regarding the use of natalizumab in the treatment of patients with refractory Crohn's disease (CD). The purpose of this study was to perform a descriptive analysis of a series of CD patients not currently enrolled in a clinical trial. METHODS: A retrospective case review of patients treated with natalizumab at 6 sites in Massachusetts: Boston Medical Center, Beth Israel Deaconess Medical Center, Brigham & Women's Hospital, Lahey Clinic, Massachusetts General Hospital, and UMass Medical Center. RESULTS: Data on 69 CD patients on natalizumab were collected. At the start of treatment, patients' disease duration was 12 years. A high proportion of patients were women (68%), presented with perianal disease (65%) and upper gastrointestinal tract involvement (14%). Prior nonbiologic therapies were steroids (96%), thiopurines (94%), antibiotics (74%), methotrexate (58%), and at least two anti-tumor necrosis factor agent failures (81%). Sixty-nine percent (44 of 64 patients) with available medical evaluation had a partial or complete clinical response. Loss of response was 13% after an average of 1 year of treatment. Adverse events were infusion reactions, headaches, fever, and infections. No case of progressive multifocal leukoencephalopathy was observed. CONCLUSIONS: In our clinical experience outside the context of a clinical trial, natalizumab is largely reserved for CD patients with extensive ileocolonic disease who have failed conventional immunosuppressants and of at least 2 anti-tumor necrosis factor agents. This drug is, however, well tolerated and offers significant clinical improvement for more than a year in one-third of these difficult-to-treat CD patients.

Internationalität und Interdisziplinarität der Editionswissenschaft, Berlin/Boston 2014 (Beihefte zu editio 38) [Beiträge der Tagung InterNationalität und InterDisziplinarität der Editionswissenschaft, 15. – 18. Februar 2012 in Bern]

Thema des Bandes ist die in der internationalen Praxis der Editionswissenschaft beobachtbare Vielfalt von wissenschaftsgeschichtlichen Traditionen, texttheoretischen Zugängen und editionspragmatischen Verfahren, die häufig aus der jeweils unterschiedlichen Entwicklung einzelner Nationalphilologien und ihrer tragenden Institutionen resultiert. Diese Heterogenität bereichert die länder- und sprachübergreifende editionswissenschaftliche Kommunikation, erschwert sie aber auch. Hinzu tritt die Tatsache, dass die Editionswissenschaft zunehmend in einem interdisziplinären Austausch steht, an dem in jüngerer Zeit auch die Informations- und Naturwissenschaften teilhaben. In einer von beschleunigter Kommunikation und Globalisierung geprägten Wissensgesellschaft berühren und vermischen sich diese verschiedenen Ansätze, dies nicht zuletzt im Kontext medialer Veränderungen. Zugleich erweisen sich nationale und fachspezifische Konventionen auch unter diesen gewandelten Bedingungen als erstaunlich zählebig – sie bestimmen wissenschaftliche Formen der Interaktion und Kooperation mitunter mehr, als dies den beteiligten Partnern bewusst ist. Diese komplexe Situation bildet den Rahmen für die im Band versammelten Beiträge, die sich mit dem ‚Dazwischen‘ (inter), d.h. mit Synergien und Brüchen nationaler und disziplinärer Zugänge in der Editionswissenschaft auseinandersetzen. Sie dokumentieren die Praxis des gegenwärtigen editorischen Alltags und zeigen, wie unterschiedliche textliche und methodische Voraussetzungen das editorische Endprodukt prägen.